From a0739bb2c7258d1f2d77c1745af28742b232ee13 Mon Sep 17 00:00:00 2001 From: Matthias Bussonnier Date: Wed, 4 May 2022 10:27:12 +0200 Subject: [PATCH 01/40] start --- papers/bussonnier/papyri.rst | 340 +++++++++++++++++++++++++++++++++++ 1 file changed, 340 insertions(+) create mode 100644 papers/bussonnier/papyri.rst diff --git a/papers/bussonnier/papyri.rst b/papers/bussonnier/papyri.rst new file mode 100644 index 0000000000..10ad3d4912 --- /dev/null +++ b/papers/bussonnier/papyri.rst @@ -0,0 +1,340 @@ +:author: Matthias Bussonnier +:email: bussonniermatthias@gmail.com +:institution: QuanSight, Inc +:institution: Digital Ours Lab +:orcid: 0000-0002-7636-8632 +:corresponding: + +-------------------------------------------------------------------- +Papyri: Better documentation for the Scientific Ecosystem in Jupyter +-------------------------------------------------------------------- + +.. class:: abstract + + We present here the idea behind papyri, a framework we are devlopping to + provide a better documentation experience for the scientific ecosystem. + In particular we wish to provide a documentation browser from within Jupyter + or other IDE and python editors that gives an unified experience, cross + library navigation search and indexing. By decoupling documentation generation + from rendering we hope this can help to adress some of the documentation accesibility + concern, and allow customisation based on users preferences. + + + + +.. class:: keywords + + document, jupyter, eco-system, accessibility + +Introduction +------------ + +The python ecosystem has grown rapidly over the past two decades, one one of the +last bastion where some of the proprietary competition tools shine is integrated +documentation. Open-source libraries are also developed in distributed setting +that can make it hard to develop coherent and integrated systems. + +While a number of tools and documentation exists, and improvements are made +every-day, most efforts attempt to build documentation in an isolated way. This +inherently leads to a heterogamous aspect of documentation that can be hard to +grasp for the newcomer. This also means that each library authors much make +choices and maintain build script or services. + +Efforts such as conda-forge have shown that concerted efforts can give a much +better experience to end-users, and in todays world where sharing libraries +source on code platforms, Continuous Integration, and many other tools is +ubiquitous, we believe a better documentation framework for many of the +libraries of the scientific Python is possible. + +Of course, no paper would be complete without some source code. Without +highlighting, it would look like this:: + + def sum(a, b): + """Sum two numbers.""" + + return a + b + +With code-highlighting: + +.. code-block:: python + + def sum(a, b): + """Sum two numbers.""" + + return a + b + +Maybe also in another language, and with line numbers: + +.. code-block:: c + :linenos: + + int main() { + for (int i = 0; i < 10; i++) { + /* do something */ + } + return 0; + } + +Or a snippet from the above code, starting at the correct line number: + +.. code-block:: c + :linenos: + :linenostart: 2 + + for (int i = 0; i < 10; i++) { + /* do something */ + } + +Inline code looks like this: :code:`chunk of code`. + +Current Tools and their limitations +----------------------------------- + + +It is difficult to speak about the scientific python ecosystem documentation +without speaking about `docutils` and `sphinx`, both of these libraries are the +cornerstone of publishing html documentation. While few alternative exists, most +tools and services have some internal knowledge of sphinx. `read the docs` +provide a `specific sphinx theme` user can opt-in to, `Jupyter-book` is built +on top of sphinx, and `MyST` parser made to allow markdown in documentation +targets sphinx as a backend. + +All the above tools provides an "ahead of time" documentation compilation and +rendering, a step that is slow and computationally intensive. Each project needs +its specific plugins, extensions and configurations to properly build. It is +also often relatively difficult to build documentation for a single object, +making use of those tools for interactive exploration difficult. While this is +attempted by projects like `docrepr` that is integrated both in `Jupyter` and +`Spyder`, the above limitation means interactive documentation lacks inline +plots, crosslinks, indexing and search. + + +Some of the above limitation are inherent to the design of documentation build +tools that were designed to build documentation in isolation. While sphinx +does provide features like `intersphinx`, link resolutions are done at +documentation build time and are thus inherently unidirectional. Even +considering `numpy` and `scipy` that are two extremely close libraries, having +proper cross-linked of documentation requires at least three 5 steps: + + - build numpy documentation + - publish numpy ``object.inv`` file. + - build scipy documentation using numpy ``obj.inv`` file. + - publish scipy ``object.inv`` file + - rebuild numpy docs to make use of scipy's ``obj.inv`` + +Any of the created links being potentially invalidated on the publication of a +new version of any of those libraries. + +RPy2 moved : https://github.com/ipython/ipython/pull/12210 + + +This make using pre-produced html in IDEs and other tools difficult and error +prone. This has also raised security issue where some institution are reluctant +to use either tools like `docrepr` or viewing pre-produced html. + +Editing docstring between a rock and a hard place +------------------------------------------------- + +Making documentation multi-step +------------------------------- + +We first recognised that many of the customisation made by user when building +documentation with sphinx fall in two categories: + + - simpler input convenience. + - modification of final rendering. + + +Wether you customise the ``.. code-block:`` directive to execute or reformat your +entry, or create a ``:rc:`` role to link to configuration parameters, a large +number of custom directive and plug-in make it easier to create references, or +make sure the content is auto generated to avoid documentation becoming out of +sync with libraries source code. This first category often require arbitrary +code execution and must import the library you are currently building the +documentation for. + + +The second category of plugins attempt to improve the rendering in order to be +more user friendly. For example `sphinx-copybutton` add a button to easily copy +code snippets in a single click, `pydata-sphinx-theme` provide a different light +theme. We'll note that this second category many of the improvement can fall +into user preferences (`sphinx-rtd-dark-mode`), and developers end up making +choices on behalf of their end users: + - which syntax highlight to use ? + - should I show type annotations ? + - do I provide a light or dark theme ? + + +We have often wished to modify the second category of extension and rebuild +documentation without having to go through the long and slow process of +rebuilding everything. + + + + + + + + + + + + + +It is well known [Atr03]_ that Spice grows on the planet Dune. Test +some maths, for example :math:`e^{\pi i} + 3 \delta`. Or maybe an +equation on a separate line: + +.. math:: + + g(x) = \int_0^\infty f(x) dx + +or on multiple, aligned lines: + +.. math:: + :type: eqnarray + + g(x) &=& \int_0^\infty f(x) dx \\ + &=& \ldots + +The area of a circle and volume of a sphere are given as + +.. math:: + :label: circarea + + A(r) = \pi r^2. + +.. math:: + :label: spherevol + + V(r) = \frac{4}{3} \pi r^3 + +We can then refer back to Equation (:ref:`circarea`) or +(:ref:`spherevol`) later. + +Mauris purus enim, volutpat non dapibus et, gravida sit amet sapien. In at +consectetur lacus. Praesent orci nulla, blandit eu egestas nec, facilisis vel +lacus. Fusce non ante vitae justo faucibus facilisis. Nam venenatis lacinia +turpis. Donec eu ultrices mauris. Ut pulvinar viverra rhoncus. Vivamus +adipiscing faucibus ligula, in porta orci vehicula in. Suspendisse quis augue +arcu, sit amet accumsan diam. Vestibulum lacinia luctus dui. Aliquam odio arcu, +faucibus non laoreet ac, condimentum eu quam. Quisque et nunc non diam +consequat iaculis ut quis leo. Integer suscipit accumsan ligula. Sed nec eros a +orci aliquam dictum sed ac felis. Suspendisse sit amet dui ut ligula iaculis +sollicitudin vel id velit. Pellentesque hendrerit sapien ac ante facilisis +lacinia. Nunc sit amet sem sem. In tellus metus, elementum vitae tincidunt ac, +volutpat sit amet mauris. Maecenas [#]_ diam turpis, placerat [#]_ at adipiscing ac, +pulvinar id metus. + +.. [#] On the one hand, a footnote. +.. [#] On the other hand, another footnote. + +.. figure:: figure1.png + + This is the caption.:code:`chunk of code` inside of it. :label:`egfig` + +.. figure:: figure1.png + :align: center + :figclass: w + + This is a wide figure, specified by adding "w" to the figclass. It is also + center aligned, by setting the align keyword (can be left, right or center). + This caption also has :code:`chunk of code`. + +.. figure:: figure1.png + :scale: 20% + :figclass: bht + + This is the caption on a smaller figure that will be placed by default at the + bottom of the page, and failing that it will be placed inline or at the top. + Note that for now, scale is relative to a completely arbitrary original + reference size which might be the original size of your image - you probably + have to play with it. :label:`egfig2` + +As you can see in Figures :ref:`egfig` and :ref:`egfig2`, this is how you reference auto-numbered +figures. + +.. table:: This is the caption for the materials table. :label:`mtable` + + +------------+----------------+ + | Material | Units | + +============+================+ + | Stone | 3 | + +------------+----------------+ + | Water | 12 | + +------------+----------------+ + | Cement | :math:`\alpha` | + +------------+----------------+ + + +We show the different quantities of materials required in Table +:ref:`mtable`. + + +.. The statement below shows how to adjust the width of a table. + +.. raw:: latex + + \setlength{\tablewidth}{0.8\linewidth} + + +.. table:: This is the caption for the wide table. + :class: w + + +--------+----+------+------+------+------+--------+ + | This | is | a | very | very | wide | table | + +--------+----+------+------+------+------+--------+ + +Unfortunately, restructuredtext can be picky about tables, so if it simply +won't work try raw LaTeX: + + +.. raw:: latex + + \begin{table*} + + \begin{longtable*}{|l|r|r|r|} + \hline + \multirow{2}{*}{Projection} & \multicolumn{3}{c|}{Area in square miles}\tabularnewline + \cline{2-4} + & Large Horizontal Area & Large Vertical Area & Smaller Square Area\tabularnewline + \hline + Albers Equal Area & 7,498.7 & 10,847.3 & 35.8\tabularnewline + \hline + Web Mercator & 13,410.0 & 18,271.4 & 63.0\tabularnewline + \hline + Difference & 5,911.3 & 7,424.1 & 27.2\tabularnewline + \hline + Percent Difference & 44\% & 41\% & 43\%\tabularnewline + \hline + \end{longtable*} + + \caption{Area Comparisons \DUrole{label}{quanitities-table}} + + \end{table*} + +Perhaps we want to end off with a quote by Lao Tse [#]_: + + *Muddy water, let stand, becomes clear.* + +.. [#] :math:`\mathrm{e^{-i\pi}}` + +.. Customised LaTeX packages +.. ------------------------- + +.. Please avoid using this feature, unless agreed upon with the +.. proceedings editors. + +.. :: + +.. .. latex:: +.. :usepackage: somepackage + +.. Some custom LaTeX source here. + +References +---------- +.. [Atr03] P. Atreides. *How to catch a sandworm*, + Transactions on Terraforming, 21(3):261-300, August 2003. + + From c941a8a985cd8c31f506b281ec9049e3b108b07b Mon Sep 17 00:00:00 2001 From: Camille Carvalho Date: Thu, 5 May 2022 08:48:25 +0200 Subject: [PATCH 02/40] edit papyri.rst test --- papers/bussonnier/papyri.rst | 2 ++ 1 file changed, 2 insertions(+) diff --git a/papers/bussonnier/papyri.rst b/papers/bussonnier/papyri.rst index 10ad3d4912..a0d66d143c 100644 --- a/papers/bussonnier/papyri.rst +++ b/papers/bussonnier/papyri.rst @@ -18,6 +18,8 @@ Papyri: Better documentation for the Scientific Ecosystem in Jupyter library navigation search and indexing. By decoupling documentation generation from rendering we hope this can help to adress some of the documentation accesibility concern, and allow customisation based on users preferences. + + To be continued. From 237eefaa641270d6ba902b219ddb5397e0a74c12 Mon Sep 17 00:00:00 2001 From: Matthias Bussonnier Date: Sat, 7 May 2022 10:57:59 +0200 Subject: [PATCH 03/40] updates --- papers/bussonnier/papyri.rst | 99 ++++++++++++++++++++++++++++++++++++ 1 file changed, 99 insertions(+) diff --git a/papers/bussonnier/papyri.rst b/papers/bussonnier/papyri.rst index 10ad3d4912..53edc4f94b 100644 --- a/papers/bussonnier/papyri.rst +++ b/papers/bussonnier/papyri.rst @@ -135,6 +135,34 @@ to use either tools like `docrepr` or viewing pre-produced html. Editing docstring between a rock and a hard place ------------------------------------------------- +The numpydoc format is ubiquitous among the scientific ecosystem +https://numpydoc.readthedocs.io/en/latest/format.html, It is loosely based on +RST syntax, and despite supporting full rst syntax, docstrings often rarely +contain full-featured directive. As many tools show raw docstrings and are +incapable of interpreting directive on the fly maintainers are often pull in two +opposite directions. + + - keeping the docstrings simple, mostly text based with few directive in order + to have readability to the end user that might be exposed to the docstring + when using tools like IPython and Jupyter. + + - Write an extensive docstring, with references, and directive that + potentially create graphics, tables and more, but impede readability. + +While tools like `docrepr` mitigate this problem, this is true only for IDE +users and not Terminal users that will still be exposed to raw docstrings. This +leads to long discussions, for example in `sympy +` on how should equations be +represented in docstrings. + + +Some libraries would also prefer to use markdown in their docstrings, but this +would create inconsistencies for the end user with respect to rendering. + +Thus we have a + + + Making documentation multi-step ------------------------------- @@ -170,9 +198,80 @@ documentation without having to go through the long and slow process of rebuilding everything. +Non Goals +--------- + +Many of the existing projects to build online documentation are well +established, extremely flexible and fits the need or their users. We are in no +way trying to cover many of the use case covered by projects like sphinx, or +Jupyter Book. When authors want or need complete control of the output and wide +personalisation options, or branding papyri is likely not the project to look +at. That is to say single-project websites where appearance, layout, domain is +controlled by the author is an explicit non-goal. + +For user who are already using sphinx, mkdocs or other projects and are +interested in using Papyri, we also not targeting 100% compatibilities. You +should expect your project to requires minor modifications to work with papyri. +We in particular are stricter on many of the rst directive than docutils and +sphinx are, and we believe that a stricter requirements leads to more uniform +documentation setup and syntax, which is simpler for contributors and allow to +catch more errors at compile time. This is qualitatively supported by number of +documentation fixes we did upstream during the developments ADD REFERENCES, +HERE`. + + +Standadarzing IRD format +------------------------ + + +High level Architecture +----------------------- + +The papyri lifecycle for documentation can roughly be decomposed into 3 broad +categories of stakeholders, and processes. + +The first stakeholders are library maintainers. Those should ensure that papyri +can build Intermediate Representation Documentation (IRD) files. And publish +and IRD bundle. + +Creation of IRD files and bundles is a computation intensive step, that may +requires complex dependencies, or specific plugins. Creation of these files may +be a multi-step process or use external tooling that is not related to papyri or +does not use Python. Note that these steps do not requires the libraries +maintainer to worry about visual appearance and rendering of documentation. + + +The second category of stakeholder are end-users. Those users are responsible +from installing IRD bundles from the libraries the wish to use on their +machines. Note that IRD from libraries that are not in use are installable as +well, and that IRD bundle not attached to a particular library could also be +installed, providing for example domain specific tutorials or examples. + + +The third category of stakeholder are IDE developers, who want to make sure +IRD files can be properly rendered and browsed by their users; potentially +taking into account user preferences, and providing added values with for +example indexing, searching, bookmarks. Such a category of stakeholder could +also be opinionated web hosting in a similar fashion to rustsdocs, devdocs.io + + + + + + + + + + +Misc +---- +Is is common for compiler to use IR (MIRI, LLVM IR) +Not a novel idea, allow to mix compilation from multiple targets, LTO. +Diataxis +rustdocs. From 631189b9e8665b77e1d3ce133630104f95ed04a5 Mon Sep 17 00:00:00 2001 From: Matthias Bussonnier Date: Sat, 7 May 2022 11:20:02 +0200 Subject: [PATCH 04/40] updates --- papers/bussonnier/papyri.rst | 111 ++++++++++++++++++----------------- 1 file changed, 57 insertions(+), 54 deletions(-) diff --git a/papers/bussonnier/papyri.rst b/papers/bussonnier/papyri.rst index 53edc4f94b..28f9b19b92 100644 --- a/papers/bussonnier/papyri.rst +++ b/papers/bussonnier/papyri.rst @@ -46,67 +46,40 @@ source on code platforms, Continuous Integration, and many other tools is ubiquitous, we believe a better documentation framework for many of the libraries of the scientific Python is possible. -Of course, no paper would be complete without some source code. Without -highlighting, it would look like this:: - - def sum(a, b): - """Sum two numbers.""" - - return a + b - -With code-highlighting: - -.. code-block:: python - - def sum(a, b): - """Sum two numbers.""" - - return a + b - -Maybe also in another language, and with line numbers: - -.. code-block:: c - :linenos: - - int main() { - for (int i = 0; i < 10; i++) { - /* do something */ - } - return 0; - } - -Or a snippet from the above code, starting at the correct line number: +Parallel with to Compiled languages +----------------------------------- -.. code-block:: c - :linenos: - :linenostart: 2 +We'll draw several comparison between documentation building and compiled +languages, plus borrow an adapt a couple of terms from the domain. +Needed, what is building the documentation bur going from a source-code meant for +a machine to a final output targeting the flesh and blood machine between the +keyboard and the chair. - for (int i = 0; i < 10; i++) { - /* do something */ - } - -Inline code looks like this: :code:`chunk of code`. +In particular we'll draw similarities with "ahead-of-time" [AOT]_, +"just-in-time" [JIT_], "intermediate representation (IR)" [IR]_, link-time +optimization (LTO) [LTO]_. Current Tools and their limitations ----------------------------------- - It is difficult to speak about the scientific python ecosystem documentation -without speaking about `docutils` and `sphinx`, both of these libraries are the -cornerstone of publishing html documentation. While few alternative exists, most -tools and services have some internal knowledge of sphinx. `read the docs` -provide a `specific sphinx theme` user can opt-in to, `Jupyter-book` is built -on top of sphinx, and `MyST` parser made to allow markdown in documentation -targets sphinx as a backend. +without speaking about docutils [docutils]_ and sphinx [sphinx]_ which are +virtually use by all the libraries in the scientific Python ecosystem. Both hese +libraries are the cornerstone of publishing html documentation for Python. While +few alternative exists, most tools and services have some internal knowledge of +sphinx. read the docs [RTD]_ provide a specific sphinx theme [RTD-theme]_ user +can opt-in to, `Jupyter-book` is built on top of sphinx, and `MyST` parser made +to allow markdown in documentation targets sphinx as a backend. All the above tools provides an "ahead of time" documentation compilation and -rendering, a step that is slow and computationally intensive. Each project needs -its specific plugins, extensions and configurations to properly build. It is -also often relatively difficult to build documentation for a single object, -making use of those tools for interactive exploration difficult. While this is -attempted by projects like `docrepr` that is integrated both in `Jupyter` and -`Spyder`, the above limitation means interactive documentation lacks inline -plots, crosslinks, indexing and search. +rendering, a step which is slow and computationally intensive. Each project +needs its specific plugins, extensions and configurations to properly build. It +is also often relatively difficult to build documentation for a single object (a +single function, module or class), making use of those tools for interactive +exploration difficult. While this "just-in-time" approach is attempted by +projects like `docrepr` that is integrated both in `Jupyter` and `Spyder`, the +above limitation means interactive documentation lacks inline plots, crosslinks, +indexing, search and many custom directives. Some of the above limitation are inherent to the design of documentation build @@ -275,6 +248,30 @@ rustdocs. +.. comment: + In this talk we will demo and discuss the work that is being done on Papyri, a + new framework to provide rich documentation in Jupyter and Terminal IPython + with plots, crosslink, equations. We will describe how libraries can opt-in to + this new framework while still in beta to provide feedback, what are the trade-off of using it, the current + capabilities and the one planed with current funding, as well as where this + could go in the future. + + This talk discusses a solution to a widely encountered problem of documentation while using Jupyter and Terminal IPython. This will be an impactful talk to the community of all scientific groups. + + + + ## Summary + + This submission is very interesting! I would have liked if the authors gave more detail on the difference between user perspectives (that is, library users navigating documentation with this tool), and developer perspectives (developers of libraries that may want to integrate this documentation framework into their projects). I also hope that the authors comment on documentation accessibilty for users of different skill levels and if / how this framework addresses it. + + ## Is the abstract compelling? + + Absolutely! This sounds like a fantastic tool that would be of interest to package developers and users in the SciPy community. + + ## How relevant, immediately useful, and novel is the topic? + + The topic is both relevant and useful to the community. + @@ -435,5 +432,11 @@ References ---------- .. [Atr03] P. Atreides. *How to catch a sandworm*, Transactions on Terraforming, 21(3):261-300, August 2003. - - +.. [docutils] https://docutils.sourceforge.io/ +.. [sphinx] https://www.sphinx-doc.org/en/master/ +.. [RTD] https://readthedocs.org/ +.. [RTD-theme] https://sphinx-rtd-theme.readthedocs.io/en/stable/ +.. [AOT] https://en.wikipedia.org/wiki/Ahead-of-time_compilation +.. [JIT] https://en.wikipedia.org/wiki/Just-in-time_compilation +.. [IR] https://en.wikipedia.org/wiki/Intermediate_representation +.. [LTO] https://en.wikipedia.org/wiki/Interprocedural_optimization From 6366b99c608ab7ea18b6eb802fdcebb58401cb08 Mon Sep 17 00:00:00 2001 From: Matthias Bussonnier Date: Sat, 7 May 2022 17:15:35 +0200 Subject: [PATCH 05/40] misc --- README.md | 1 + papers/bussonnier/papyri.rst | 231 ++++++++++++++++++++++++++++------- 2 files changed, 188 insertions(+), 44 deletions(-) diff --git a/README.md b/README.md index a66313d213..243e483342 100644 --- a/README.md +++ b/README.md @@ -477,6 +477,7 @@ Editors should come to a final 'ready', 'unready' decision before the **Final Ed 5. Choose the appropriate folder, and make a new directory inside it (it needs a unique name) 6. Copy your slide deck or poster into the directory, and add a file called `info.json` with the following fields needed for uploading to Zenodo (using an empty string for author orcid or affiliation if these cannot be provided): + ```json { "title": "The title of your presentation", diff --git a/papers/bussonnier/papyri.rst b/papers/bussonnier/papyri.rst index 28f9b19b92..b10e06378a 100644 --- a/papers/bussonnier/papyri.rst +++ b/papers/bussonnier/papyri.rst @@ -1,7 +1,7 @@ :author: Matthias Bussonnier :email: bussonniermatthias@gmail.com :institution: QuanSight, Inc -:institution: Digital Ours Lab +:institution: Digital Ours Lab, SARL. :orcid: 0000-0002-7636-8632 :corresponding: @@ -37,7 +37,7 @@ that can make it hard to develop coherent and integrated systems. While a number of tools and documentation exists, and improvements are made every-day, most efforts attempt to build documentation in an isolated way. This inherently leads to a heterogamous aspect of documentation that can be hard to -grasp for the newcomer. This also means that each library authors much make +grasp for the newcomers. This also means that each library authors much make choices and maintain build script or services. Efforts such as conda-forge have shown that concerted efforts can give a much @@ -46,6 +46,29 @@ source on code platforms, Continuous Integration, and many other tools is ubiquitous, we believe a better documentation framework for many of the libraries of the scientific Python is possible. + +Motivation +---------- + +We've been frustrated by the documentation experience in the Python ecosystem, +and have found the many of our colleagues are as well. To often have we seen +less experienced users struggle to find the correct "official" website for the +documentation of a given libraries, or stumble across an old version that is +better ranked in your favorite search engine. + +While access to inspector in many IDE gives access to some documentation, it +does not get access to narrative, or galleries. CLI users are in a even worse +place as raw source is often displayed and no navigation is possible. + +As libraries, maintainers we do not want to have to think about final rendering. +Though we'd like our users to gain from improvement in the rendering without +having to rebuild all our docs. + +Against all advices we received and our own experience we decided to rebuild a +documentation framework from scratch, and with minimal dependencies. + + + Parallel with to Compiled languages ----------------------------------- @@ -56,8 +79,12 @@ a machine to a final output targeting the flesh and blood machine between the keyboard and the chair. In particular we'll draw similarities with "ahead-of-time" [AOT]_, -"just-in-time" [JIT_], "intermediate representation (IR)" [IR]_, link-time -optimization (LTO) [LTO]_. +"just-in-time" [JIT]_, "intermediate representation (IR)" [IR]_, link-time +optimization (LTO) [LTO]_, static vs dynamic linking. + +If you are familiar with these concept that might be a good parallel to keep in +mind in order to follow the reasoning and architecture, but is not necessary to +understand the concepts behind papyri. Current Tools and their limitations ----------------------------------- @@ -89,11 +116,15 @@ documentation build time and are thus inherently unidirectional. Even considering `numpy` and `scipy` that are two extremely close libraries, having proper cross-linked of documentation requires at least three 5 steps: - - build numpy documentation - - publish numpy ``object.inv`` file. - - build scipy documentation using numpy ``obj.inv`` file. - - publish scipy ``object.inv`` file - - rebuild numpy docs to make use of scipy's ``obj.inv`` +- build numpy documentation + +- publish numpy ``object.inv`` file. + +- build scipy documentation using numpy ``obj.inv`` file. + +- publish scipy ``object.inv`` file + +- rebuild numpy docs to make use of scipy's ``obj.inv`` Any of the created links being potentially invalidated on the publication of a new version of any of those libraries. @@ -115,12 +146,12 @@ contain full-featured directive. As many tools show raw docstrings and are incapable of interpreting directive on the fly maintainers are often pull in two opposite directions. - - keeping the docstrings simple, mostly text based with few directive in order - to have readability to the end user that might be exposed to the docstring - when using tools like IPython and Jupyter. +- keeping the docstrings simple, mostly text based with few directive in order + to have readability to the end user that might be exposed to the docstring + when using tools like IPython and Jupyter. - - Write an extensive docstring, with references, and directive that - potentially create graphics, tables and more, but impede readability. +- Write an extensive docstring, with references, and directive that + potentially create graphics, tables and more, but impede readability. While tools like `docrepr` mitigate this problem, this is true only for IDE users and not Terminal users that will still be exposed to raw docstrings. This @@ -142,8 +173,8 @@ Making documentation multi-step We first recognised that many of the customisation made by user when building documentation with sphinx fall in two categories: - - simpler input convenience. - - modification of final rendering. +- simpler input convenience. +- modification of final rendering. Wether you customise the ``.. code-block:`` directive to execute or reformat your @@ -161,9 +192,10 @@ code snippets in a single click, `pydata-sphinx-theme` provide a different light theme. We'll note that this second category many of the improvement can fall into user preferences (`sphinx-rtd-dark-mode`), and developers end up making choices on behalf of their end users: - - which syntax highlight to use ? - - should I show type annotations ? - - do I provide a light or dark theme ? + +- which syntax highlight to use ? +- should I show type annotations ? +- do I provide a light or dark theme ? We have often wished to modify the second category of extension and rebuild @@ -228,14 +260,125 @@ example indexing, searching, bookmarks. Such a category of stakeholder could also be opinionated web hosting in a similar fashion to rustsdocs, devdocs.io +Future possibilities +-------------------- + +- Removal of dynamic docstrings, +- Markdown +- Static website, +- post deprecation +- translation + + +Challenges +---------- + +Fully qualified names vs canonical names. +case sensitivity. + + + +Current implementation +---------------------- + + +IRD file Generation +~~~~~~~~~~~~~~~~~~~ + +While the core idea around papyri resides in the IRD files and bundles, we can +come back on some of the decision we made with current implementation. +The current implementation only support parsing RST and Numpydoc in docstrings. +While we hope to extend it with MyST later, or provide it as a plugin, this is +our main focus as a wide majority of the core Scientific python stack. +We use Tree-Sitter, and tree-sitter-rst to parse RST syntax, in particular +tree-sitter allow us to easily "unparse" an AST node when necessary as the ast +nodes contains bytes offset to the original buffer. This was relatively +convenient to handle custom directive a number of edge cases where project +relied on loose definition of the rst syntax. For example rst directive are of +the form:: + .. directive:: arguments + + body +While technically there is no space before the ``::``, docutils and sphinx allow +this, but it fails in tree-sitter with an error node. We can check error nodes, +un-parse, add heuristics to restore a proper syntax and parse the new node. +Alternatively a number of directive like ``warnings``, ``notes`` +``admonitions`` still contain valid RST. Instead of storing the directive with +the raw text, we parse the full document (potentially finding invalid syntax), +and unparse to the raw text only if the directive requires it. +Serialisation of datastructure into IRD files are currently using a custom +serialiser that we hope to swap for msgspec. The AST objects are completely +typed but contains a number of Unions and Sequences of Unions. We found out that +many frameworks like ``pydantic`` do not support sequences of Unions where each +item in the Union may be of a different type. +We currently try to type-infer all code examples with Jedi, and pre-syntax +highlight using pygments when possible. + +IRD File Installation +~~~~~~~~~~~~~~~~~~~~~ + +Download and Installation of IRD files is done concurrently using ``httpx``, +with ``trio`` as an async framework. + +The IRD files post-processed into a local custom format. Object informations are +store in 3 different places: A local SQLite database, CBOR representation of +each document, and raw storage on disk for assets and binary blobs. + +SQlite allows us to easily query graph informations at run time, just before +rendering, and is mostly optimised for infrequent read access. + +CBOR object for post-processed IRD files has been chosen to provide a more +compact representation than JSON which is highly redundant, while still +avoiding to use compression for fast access. + + +Access to these resources is providing via an internal ``GraphStore`` API which +is agnostic of the backend, and ensure the consistency of operation like +adding/removing/replacing documents. + +Documentation Rendering +~~~~~~~~~~~~~~~~~~~~~~~ + +We've prototypes a number of rendering engines, each of them basically consist +of fetching a single page and it's metadata, and walking the IRD AST tree, and +rendering each nodes with user preferences. + +- An ASCII terminal render using Jinja2. This can be useful to pipe + documentation to other tools like grep, less, cat. + +- A TUI browser using urwid. This lets you navigate in the terminal, reflow long + line on window resize, and can even open images files in external editors. We + encountered several bugs in urwid and are considering rewriting it using + Rich/Textual. + +- A Just-in-Time rendering engine using Jinja2/quart/trio ; Quart being an async + version of flask. This version is the one with the most features. + +- A static "Ahead of time", rendering of all the existing pages that can be + rendered ahead of time, using the same class as the Just-in-time rendering + that basically loops through all entries in the SQLite database and render + each. + + +Our profile show that documentation rendering is limited by object serialisation +and de serialisation from disk as well a Jinja2 templating engine. +We've played with writing a static html renderer in a compiled language (Rust, +using compiled, and typed checked templates), and managed to get about a factor +10 speedup, but this implementation is now out of syn with the main papyri +code base. + + +Finally we've started implementing a JupyterLab extension that is capable of +basic IRD file browsing and rendering, using react and typescript. It has +limited capabilities, like ability to browse to previous pages. Misc @@ -325,31 +468,31 @@ pulvinar id metus. .. [#] On the one hand, a footnote. .. [#] On the other hand, another footnote. -.. figure:: figure1.png - - This is the caption.:code:`chunk of code` inside of it. :label:`egfig` - -.. figure:: figure1.png - :align: center - :figclass: w - - This is a wide figure, specified by adding "w" to the figclass. It is also - center aligned, by setting the align keyword (can be left, right or center). - This caption also has :code:`chunk of code`. - -.. figure:: figure1.png - :scale: 20% - :figclass: bht - - This is the caption on a smaller figure that will be placed by default at the - bottom of the page, and failing that it will be placed inline or at the top. - Note that for now, scale is relative to a completely arbitrary original - reference size which might be the original size of your image - you probably - have to play with it. :label:`egfig2` - -As you can see in Figures :ref:`egfig` and :ref:`egfig2`, this is how you reference auto-numbered -figures. - +.. .. figure:: figure1.png +.. +.. This is the caption.:code:`chunk of code` inside of it. :label:`egfig` +.. +.. .. figure:: figure1.png +.. :align: center +.. :figclass: w +.. +.. This is a wide figure, specified by adding "w" to the figclass. It is also +.. center aligned, by setting the align keyword (can be left, right or center). +.. This caption also has :code:`chunk of code`. +.. +.. .. figure:: figure1.png +.. :scale: 20% +.. :figclass: bht +.. +.. This is the caption on a smaller figure that will be placed by default at the +.. bottom of the page, and failing that it will be placed inline or at the top. +.. Note that for now, scale is relative to a completely arbitrary original +.. reference size which might be the original size of your image - you probably +.. have to play with it. :label:`egfig2` +.. +.. As you can see in Figures :ref:`egfig` and :ref:`egfig2`, this is how you reference auto-numbered +.. figures. +.. .. table:: This is the caption for the materials table. :label:`mtable` +------------+----------------+ From f1df3831c2ebb918ba13448cf4f51e9d2300780c Mon Sep 17 00:00:00 2001 From: Camille Carvalho Date: Mon, 9 May 2022 11:53:44 +0200 Subject: [PATCH 06/40] small edits --- papers/bussonnier/papyri.rst | 18 ++++++++++-------- 1 file changed, 10 insertions(+), 8 deletions(-) diff --git a/papers/bussonnier/papyri.rst b/papers/bussonnier/papyri.rst index 43f7cc7769..361c0d421b 100644 --- a/papers/bussonnier/papyri.rst +++ b/papers/bussonnier/papyri.rst @@ -11,13 +11,15 @@ Papyri: Better documentation for the Scientific Ecosystem in Jupyter .. class:: abstract - We present here the idea behind papyri, a framework we are devlopping to + We present here the idea behind Papyri, a framework we are developing to provide a better documentation experience for the scientific ecosystem. - In particular we wish to provide a documentation browser from within Jupyter - or other IDE and python editors that gives an unified experience, cross - library navigation search and indexing. By decoupling documentation generation - from rendering we hope this can help to adress some of the documentation accesibility - concern, and allow customisation based on users preferences. + In particular, we wish to provide a documentation browser from within Jupyter + or other IDE**s?** and Python editors that gives a unified experience, cross + library navigation search and indexing. + %% I don't understand the last part of the sentence (let's chat). + By decoupling documentation generation + from rendering we hope this can help adress some of the documentation accessibility + concerns, and allow customisation based on users' preferences. To be continued. @@ -26,12 +28,12 @@ Papyri: Better documentation for the Scientific Ecosystem in Jupyter .. class:: keywords - document, jupyter, eco-system, accessibility + Document, Jupyter, ecosystem, accessibility Introduction ------------ -The python ecosystem has grown rapidly over the past two decades, one one of the +The Python ecosystem has grown rapidly over the past two decades, one of the last bastion where some of the proprietary competition tools shine is integrated documentation. Open-source libraries are also developed in distributed setting that can make it hard to develop coherent and integrated systems. From 00d94e87937334836bc5b7efa98553cd3897d014 Mon Sep 17 00:00:00 2001 From: Camille Carvalho Date: Tue, 10 May 2022 15:12:44 +0200 Subject: [PATCH 07/40] edits rst intro/motiv --- papers/bussonnier/papyri.rst | 59 +++++++++++++++++------------------- 1 file changed, 27 insertions(+), 32 deletions(-) diff --git a/papers/bussonnier/papyri.rst b/papers/bussonnier/papyri.rst index 361c0d421b..d2596692ec 100644 --- a/papers/bussonnier/papyri.rst +++ b/papers/bussonnier/papyri.rst @@ -14,64 +14,59 @@ Papyri: Better documentation for the Scientific Ecosystem in Jupyter We present here the idea behind Papyri, a framework we are developing to provide a better documentation experience for the scientific ecosystem. In particular, we wish to provide a documentation browser from within Jupyter - or other IDE**s?** and Python editors that gives a unified experience, cross - library navigation search and indexing. - %% I don't understand the last part of the sentence (let's chat). - By decoupling documentation generation - from rendering we hope this can help adress some of the documentation accessibility + or other IDE **s?** and Python editors that gives a unified experience, cross + library navigation search and indexing. *I don't understand the last part of the sentence (let's chat).* + By decoupling documentation generation from rendering we hope this can help address some of the documentation accessibility concerns, and allow customisation based on users' preferences. - To be continued. - - + To be continued. **I think it looks good** .. class:: keywords - Document, Jupyter, ecosystem, accessibility + **Keywords:** Document, Jupyter, ecosystem, accessibility Introduction ------------ +**to discuss with MB is I changed the meaning too much of the 2 paragraphs below** -The Python ecosystem has grown rapidly over the past two decades, one of the +Over the past decades, the Python ecosystem has grown rapidly, and one of the last bastion where some of the proprietary competition tools shine is integrated -documentation. Open-source libraries are also developed in distributed setting +documentation. Indeed, open-source libraries are usually developed in distributed settings that can make it hard to develop coherent and integrated systems. -While a number of tools and documentation exists, and improvements are made -every-day, most efforts attempt to build documentation in an isolated way. This -inherently leads to a heterogamous aspect of documentation that can be hard to -grasp for the newcomers. This also means that each library authors much make -choices and maintain build script or services. +While a number of tools and documentations exists (and improvements are made +everyday), most efforts attempt to build documentation in an isolated way, inherently creating a heterogamous framework. +The consequences are twofolds: (i) it becomes difficult for newcomers to grasp the tools properly, (ii) there is a lack of cohesion and unified framework as library authors make their proper choices and must maintain build scripts or services. -Efforts such as conda-forge have shown that concerted efforts can give a much -better experience to end-users, and in todays world where sharing libraries -source on code platforms, Continuous Integration, and many other tools is +Efforts such as conda-forge **[add ref]** have shown that concerted efforts can give a much +better experience to end-users, and in today's world where sharing libraries +source on code platforms, continuous integration, and many other tools is ubiquitous, we believe a better documentation framework for many of the -libraries of the scientific Python is possible. +libraries of the scientific Python is should be available. Motivation ---------- -We've been frustrated by the documentation experience in the Python ecosystem, -and have found the many of our colleagues are as well. To often have we seen -less experienced users struggle to find the correct "official" website for the -documentation of a given libraries, or stumble across an old version that is -better ranked in your favorite search engine. +Many users, colleagues, and members of the community have been frustrated with the documentation experience in the Python ecosystem. +Given a library, who hasn't struggle to find the "official" website for the documentation ? Often, users stumble across an old documentation version that is +better ranked in their favorite search engine, and this impacts less experienced users' learning greatly. -While access to inspector in many IDE gives access to some documentation, it -does not get access to narrative, or galleries. CLI users are in a even worse +.. We have been frustrated by the documentation experience in the Python ecosystem, and it turns out many of our colleagues are as well. To often have we seen less experienced users struggle to find the correct "official" website for the documentation of a given libraries, or stumble across an old version that is better ranked in your favorite search engine. + +While access to inspector in many IDE provides some documentation, it +does not get access to the narrative, or full documentation gallery. CLI **which means ??** users are in an even worse place as raw source is often displayed and no navigation is possible. -As libraries, maintainers we do not want to have to think about final rendering. -Though we'd like our users to gain from improvement in the rendering without +As library maintainers, we do not want to have to think about final rendering. +Though we would like users to gain from improvement in the rendering without having to rebuild all our docs. -Against all advices we received and our own experience we decided to rebuild a -documentation framework from scratch, and with minimal dependencies. - +Thus, against all advice we received and our own experience, we have decided to rebuild a +documentation framework, from scratch, and with minimal dependencies: **Paryri**. +**A classic paper/proceeding would : (i) merge intro and motiv, (ii) add a paragraph on Papyri just to say the goal of the proceeding is to present it, and then some outline** Parallel with to Compiled languages ----------------------------------- From 06303b2ccca34470c12e9f7775003486a2eddabb Mon Sep 17 00:00:00 2001 From: Matthias Bussonnier Date: Sun, 15 May 2022 20:16:35 +0200 Subject: [PATCH 08/40] syn --- papers/bussonnier/papyri.rst | 193 +++++++++++++++++++++++++++++++---- 1 file changed, 174 insertions(+), 19 deletions(-) diff --git a/papers/bussonnier/papyri.rst b/papers/bussonnier/papyri.rst index 43f7cc7769..22c1540455 100644 --- a/papers/bussonnier/papyri.rst +++ b/papers/bussonnier/papyri.rst @@ -19,10 +19,6 @@ Papyri: Better documentation for the Scientific Ecosystem in Jupyter from rendering we hope this can help to adress some of the documentation accesibility concern, and allow customisation based on users preferences. - To be continued. - - - .. class:: keywords @@ -31,14 +27,19 @@ Papyri: Better documentation for the Scientific Ecosystem in Jupyter Introduction ------------ -The python ecosystem has grown rapidly over the past two decades, one one of the +The python ecosystem has grown rapidly over the past two decades, one of the last bastion where some of the proprietary competition tools shine is integrated -documentation. Open-source libraries are also developed in distributed setting -that can make it hard to develop coherent and integrated systems. +documentation. Open-source libraries are – unlike proprietary counterparts – +developed in a distributed setting that can make it hard to develop coherent and +integrated documentation systems. + +.. cequetuveux: + + commentatires en block. While a number of tools and documentation exists, and improvements are made every-day, most efforts attempt to build documentation in an isolated way. This -inherently leads to a heterogamous aspect of documentation that can be hard to +inherently leads to a heterogeneous aspect of documentation that can be hard to grasp for the newcomers. This also means that each library authors much make choices and maintain build script or services. @@ -118,15 +119,15 @@ documentation build time and are thus inherently unidirectional. Even considering `numpy` and `scipy` that are two extremely close libraries, having proper cross-linked of documentation requires at least three 5 steps: -- build numpy documentation +- build NumPy documentation -- publish numpy ``object.inv`` file. +- publish NumPy ``object.inv`` file. -- build scipy documentation using numpy ``obj.inv`` file. +- build scipy documentation using NumPy ``obj.inv`` file. - publish scipy ``object.inv`` file -- rebuild numpy docs to make use of scipy's ``obj.inv`` +- rebuild NumPy docs to make use of scipy's ``obj.inv`` Any of the created links being potentially invalidated on the publication of a new version of any of those libraries. @@ -205,8 +206,11 @@ documentation without having to go through the long and slow process of rebuilding everything. -Non Goals ---------- +Goals Non Goals +--------------- + +Generic Website builder +~~~~~~~~~~~~~~~~~~~~~~~ Many of the existing projects to build online documentation are well established, extremely flexible and fits the need or their users. We are in no @@ -216,6 +220,9 @@ personalisation options, or branding papyri is likely not the project to look at. That is to say single-project websites where appearance, layout, domain is controlled by the author is an explicit non-goal. +Full compatibility with current systems +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + For user who are already using sphinx, mkdocs or other projects and are interested in using Papyri, we also not targeting 100% compatibilities. You should expect your project to requires minor modifications to work with papyri. @@ -226,9 +233,92 @@ catch more errors at compile time. This is qualitatively supported by number of documentation fixes we did upstream during the developments ADD REFERENCES, HERE`. +Prescribing documentation sctructure +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +We do not want to prescribe how to write documentation, and who it should be +targeted to. Nonetheless as we have to make technical choices, and when possible +will keep in mind the Diátaxis Framework [DT]_ when possible. + +Accessibility and User proficiency +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +We care about accessibility as well, one of the reason we will try to attach +semantic meaning to items in the documentation when possible. As we also want +documentation rendering to be separated from documentation building, this should +let users opt-in to accessibility features, like hight contrast themes. + +We believe also renderer can add preferences and configuration to alter +representation of docs depending on the user proficiency. For example while type +annotation is useful to the advance user it can be confusing for the neophyte. + +Similarly, newcomers tend to prefer working from examples, and could thus decide +to promote examples earlier in the rendering. + +Regardless of configure ability, we believe that a coherent experience where +documentation is uniform and in a single place should make users more +comfortable with finding information. + +Simplicity, speed and independence +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +We still wish to have relative separation of documentation building, that is +to say we wish to be able to build the documentation for each library +independently. Especially library should be able to build without access to +documentation bundle from library they link to. + +We do want IRD bundle installation to be relatively straightforward and fast. On +large distributed system, we cannot afford to have the installation speed to +grow polynomially with the number of installed packages. + +We do want the ability to have forward and backward links between pages. + +And we do want to ability to lookup documentation for an object from the +interactive REPL. + + +Standard IRD format +------------------- + +While we are still in search of a better name, most of the success of this +project relies on the definition of standard interchangeable Intermediate +Representation for Documentation format (IRD). + +This allow to separate concerns between M producers and N renderer, and reduce a +M*N problem where each renderer need to be able to be able to consume input from +each producer, to an N+M, where each producer should only care about producing +IRD, and each renderer consume it. + +As of the writing of this paper, IRD files are currently separated into multiple +categories. + +- API files describe the documentation for a single object, expressed as a + Json object. When possible the informations are encoded semantically. + Files are organized based on the fully-qualified name of the Python object + they reference, and contain either absolute reference to another object + (library, version and identifier), or delayed references to objects that may + exists in another library. Some extra per-object meta information like + file/line number of definition can be stored as well. +- Narrative files are similar to API file, except with the notion they do not + represent a given object, but posses a previous/next page, and are organised + in an ordered tree related to the table of content. +- Examples files are non-ordered collection of files. +- Assets are untouched binary blobs that can be references by any of the above + three categories, and are the only category that only have backward + references, and no forward references. + +In addition to those 4 kinds of objects, metadata about the current package is +stored: library name, current version, pypi name, GitHub slug, maintainer name, +logo, issue tracker and a few other. Allowing us to for example auto generate +link to issue tracker, or to source files. + +We also store a mapping from fully qualified names to canonical names, in order +to properly resolve some references, of normalise links. + + +The final specification of the IRD file is unfinished, we thus invite you to +consult the current state on the GitHub repository. -Standadarzing IRD format ------------------------- High level Architecture @@ -275,9 +365,39 @@ Future possibilities Challenges ---------- -Fully qualified names vs canonical names. -case sensitivity. +In order to be able to link to object documentation without having access the +the build IRD bundles from all the library we need to come up with a schema that +uniquely identify each object. For this we decided to use the fully qualified +names of an object. That is to say the concatenation of the module in which it +is defined, with its local name. We encountered multiple edge cases with that. + + - To mirror python syntax is it easy to use ``.`` to concatenate both parts. + Unfortunately that leads to ambiguity when modules re-export functions of + the same name. + + .. code-block:: python + + # module mylib/__init__.py + from .mything import mything + + ``mylib.mything`` is ambiguous with respect to the ``mything`` submodule and + the object reexported. In future version we'll use ``:`` as a module/name + separator. + + - Decorated functions or other dynamic approaches to expose function to users + end up having ``>`` in their fully qualified names, which is invalid. + + - Many builtins functions (``np.sin``, ``np.cos``, ...) do not have a fully + qualified name that can be extracted by object introspection. + + - Fully qualified names are often not canonical names (the name you typically + use for import), and finding the canonical name automatically is not always + straitforward. + +We also came across challenges with case sensitivity, in particular of +filesystems, and a couple of object have same fully qualified name up to +difference in casing. Current implementation @@ -382,6 +502,34 @@ Finally we've started implementing a JupyterLab extension that is capable of basic IRD file browsing and rendering, using react and typescript. It has limited capabilities, like ability to browse to previous pages. +.. figure:: scipy-dpss-old-new.png + :align: center + :figclass: w + + The following screenshot shows current help for ``scipy.signal.dpss`` as + currently accessible on the left, as shown by the papyri for jupyterlab + extension on the right. + +.. figure:: jupyterlab-prototype.png + + Zoomed out view of the papyri for jupyterlab extension, we can see that the + code examples include plots. Most token in each examples are link to the + corresponding page. Early navigatin bar visible at the top. + + +.. figure:: local-graph.png + + (screenshot). We played with the possibility of using D3.js to a local graph + of connection among the most important node arround ``numpy.ndarray``. Nodes + are sized with respectd to the number of incomming links, and colored with + respect to their library. + + + + + + + Misc ---- @@ -407,7 +555,13 @@ rustdocs. ## Summary - This submission is very interesting! I would have liked if the authors gave more detail on the difference between user perspectives (that is, library users navigating documentation with this tool), and developer perspectives (developers of libraries that may want to integrate this documentation framework into their projects). I also hope that the authors comment on documentation accessibilty for users of different skill levels and if / how this framework addresses it. + This submission is very interesting! I would have liked if the authors gave + more detail on the difference between user perspectives (that is, library + users navigating documentation with this tool), and developer perspectives + (developers of libraries that may want to integrate this documentation + framework into their projects). I also hope that the authors comment on + documentation accessibilty for users of different skill levels and if / how + this framework addresses it. ## Is the abstract compelling? @@ -585,3 +739,4 @@ References .. [JIT] https://en.wikipedia.org/wiki/Just-in-time_compilation .. [IR] https://en.wikipedia.org/wiki/Intermediate_representation .. [LTO] https://en.wikipedia.org/wiki/Interprocedural_optimization +.. [DT] https://diataxis.fr/ From 8086bf514d02ca64ce72c0230a7a65f0cc059261 Mon Sep 17 00:00:00 2001 From: Matthias Bussonnier Date: Sun, 15 May 2022 20:20:30 +0200 Subject: [PATCH 09/40] add ping --- papers/bussonnier/automatic-gallery.png | Bin 0 -> 184911 bytes papers/bussonnier/jupyterlab-prototype.png | Bin 0 -> 243561 bytes papers/bussonnier/local-graph.png | Bin 0 -> 874349 bytes papers/bussonnier/ndarray-backreferences.png | Bin 0 -> 670236 bytes papers/bussonnier/scipy-dpss-old-new.png | Bin 0 -> 789137 bytes 5 files changed, 0 insertions(+), 0 deletions(-) create mode 100644 papers/bussonnier/automatic-gallery.png create mode 100644 papers/bussonnier/jupyterlab-prototype.png create mode 100644 papers/bussonnier/local-graph.png create mode 100644 papers/bussonnier/ndarray-backreferences.png create mode 100644 papers/bussonnier/scipy-dpss-old-new.png diff --git a/papers/bussonnier/automatic-gallery.png b/papers/bussonnier/automatic-gallery.png new file mode 100644 index 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zB{*5hi6p%GHr#;^mBQXh#_C7yHV0b2G>l$-)-#Idcjg$<=Q?4h>(~?R8p{9e>7jpY zA}Q1__q(-5r~Bg1CXhSbE>8N^cA_Gy^6X3(h6K5I0q!Ul#xi@%T)%z7n3sI$NymzL44Za>U=eV8g!B7H5m!$!oRDAxqlN5uN=PNV9KHVnkmvn;;flnbcsWN`jiV@V%81sx-o>D zxz*8*C@EcD)pqi$Jp;%8#EL&H477RmbqNs`G*lBrk8fA%ylsIF@5-}1#~IuG*D33{ zpo3r9yd>TZr3Ph)ZP4u1%>iWDPx-{1{_9}=Tut%5A@rdgYC25(aN$>&Js zNUbB^Sn%dErRMF#bx9M@7gtYLdXv*yjxwmKcBiu5`deMTwID QZNY%U%WV&%g&vXne{#XWtpET3 literal 0 HcmV?d00001 From dd6e35bd9048f7010fb949b75b3c1d54bc64b73a Mon Sep 17 00:00:00 2001 From: Matthias Bussonnier Date: Sun, 15 May 2022 20:23:29 +0200 Subject: [PATCH 10/40] update --- papers/bussonnier/papyri.rst | 19 ++++++++++--------- 1 file changed, 10 insertions(+), 9 deletions(-) diff --git a/papers/bussonnier/papyri.rst b/papers/bussonnier/papyri.rst index 87dbce41df..f699bd54d2 100644 --- a/papers/bussonnier/papyri.rst +++ b/papers/bussonnier/papyri.rst @@ -12,12 +12,13 @@ Papyri: Better documentation for the Scientific Ecosystem in Jupyter .. class:: abstract We present here the idea behind Papyri, a framework we are developing to - provide a better documentation experience for the scientific ecosystem. - In particular, we wish to provide a documentation browser from within Jupyter - or other IDE **s?** and Python editors that gives a unified experience, cross - library navigation search and indexing. *I don't understand the last part of the sentence (let's chat).* - By decoupling documentation generation from rendering we hope this can help address some of the documentation accessibility - concerns, and allow customisation based on users' preferences. + provide a better documentation experience for the scientific ecosystem. In + particular, we wish to provide a documentation browser from within Jupyter or + other IDEs and Python editors that gives a unified experience, cross library + navigation search and indexing. *I don't understand the last part of the + sentence (let's chat).* By decoupling documentation generation from + rendering we hope this can help address some of the documentation + accessibility concerns, and allow customisation based on users' preferences. .. class:: keywords @@ -40,7 +41,7 @@ inherently creating a heterogeneous framework. The consequences are twofolds: is a lack of cohesion and unified framework as library authors make their proper choices and must maintain build scripts or services. -Efforts such as conda-forge **[add ref]** have shown that concerted efforts can +Efforts such as conda-forge [CFORGE]_ have shown that concerted efforts can give a much better experience to end-users, and in today's world where sharing libraries source on code platforms, continuous integration, and many other tools is ubiquitous, we believe a better documentation framework for many of the @@ -732,8 +733,7 @@ Perhaps we want to end off with a quote by Lao Tse [#]_: References ---------- -.. [Atr03] P. Atreides. *How to catch a sandworm*, - Transactions on Terraforming, 21(3):261-300, August 2003. + .. [docutils] https://docutils.sourceforge.io/ .. [sphinx] https://www.sphinx-doc.org/en/master/ .. [RTD] https://readthedocs.org/ @@ -743,3 +743,4 @@ References .. [IR] https://en.wikipedia.org/wiki/Intermediate_representation .. [LTO] https://en.wikipedia.org/wiki/Interprocedural_optimization .. [DT] https://diataxis.fr/ +.. [CFORGE] https://conda-forge.org/ From 008caeda62b0ff8ac7d8e932ae01725a7786e237 Mon Sep 17 00:00:00 2001 From: Matthias Bussonnier Date: Sun, 15 May 2022 21:49:30 +0200 Subject: [PATCH 11/40] more --- papers/bussonnier/papyri.rst | 313 ++++++++++++++++++++--------------- 1 file changed, 179 insertions(+), 134 deletions(-) diff --git a/papers/bussonnier/papyri.rst b/papers/bussonnier/papyri.rst index f699bd54d2..87fac816cf 100644 --- a/papers/bussonnier/papyri.rst +++ b/papers/bussonnier/papyri.rst @@ -41,16 +41,6 @@ inherently creating a heterogeneous framework. The consequences are twofolds: is a lack of cohesion and unified framework as library authors make their proper choices and must maintain build scripts or services. -Efforts such as conda-forge [CFORGE]_ have shown that concerted efforts can -give a much better experience to end-users, and in today's world where sharing -libraries source on code platforms, continuous integration, and many other tools -is ubiquitous, we believe a better documentation framework for many of the -libraries of the scientific Python is should be available. - - -Motivation ----------- - Many users, colleagues, and members of the community have been frustrated with the documentation experience in the Python ecosystem. Given a library, who hasn't struggle to find the "official" website for the documentation ? Often, @@ -58,23 +48,29 @@ users stumble across an old documentation version that is better ranked in their favorite search engine, and this impacts less experienced users' learning greatly. - +The experience on users's local machine is not better: While access to inspector in many IDE provides some documentation, it does not get access to the narrative, or full documentation gallery. Command Line Interface (CLI) users are in an even worse place as raw source is often displayed and no navigation is possible. -As library maintainers, we do not want to have to think about final rendering. -Though we would like users to gain from improvement in the rendering without -having to rebuild all our docs. +Maintainers are not either in a good position, we do not want to have to think +about final rendering. Though we would like users to gain from improvement in +the rendering without having to rebuild all our docs. + +Efforts such as conda-forge [CFRG]_ have shown that concerted efforts can +give a much better experience to end-users, and in today's world where sharing +libraries source on code platforms, continuous integration, and many other tools +is ubiquitous, we believe a better documentation framework for many of the +libraries of the scientific Python is should be available. Thus, against all advice we received and our own experience, we have decided to -rebuild a documentation framework, from scratch, and with minimal dependencies: -**Paryri**. +rebuild an opinionated documentation framework, from scratch, and with minimal +dependencies: **Paryri**. Papyri focus on building an intermediate documentation +representation format, that let us decoupling building, and rendering the docs; +highly simplifying many operations and giving us access to many desired features +not available until now. -**A classic paper/proceeding would : (i) merge intro and motiv, (ii) add a -paragraph on Papyri just to say the goal of the proceeding is to present it, and -then some outline** Parallel with to Compiled languages ----------------------------------- @@ -97,13 +93,14 @@ Current Tools and their limitations ----------------------------------- It is difficult to speak about the scientific python ecosystem documentation -without speaking about docutils [docutils]_ and sphinx [sphinx]_ which are -virtually use by all the libraries in the scientific Python ecosystem. Both hese -libraries are the cornerstone of publishing html documentation for Python. While -few alternative exists, most tools and services have some internal knowledge of -sphinx. read the docs [RTD]_ provide a specific sphinx theme [RTD-theme]_ user -can opt-in to, `Jupyter-book` is built on top of sphinx, and `MyST` parser made -to allow markdown in documentation targets sphinx as a backend. +without making reference to docutils [docutils]_ and sphinx [sphinx]_ which are +virtually use by all the libraries in the scientific Python ecosystem. Both +these libraries are the cornerstone of publishing html documentation for Python. +While few alternative exists, most tools and services have some internal +knowledge of sphinx. Read the Docs [RTD]_ provide a specific sphinx theme +[RTD-theme]_ user can opt-in to, `Jupyter-book` is built on top of sphinx, and +MyST parser [MYST]_ which is made to allow markdown in documentation does targets +sphinx as a backend. All the above tools provides an "ahead of time" documentation compilation and rendering, a step which is slow and computationally intensive. Each project @@ -112,46 +109,52 @@ is also often relatively difficult to build documentation for a single object (a single function, module or class), making use of those tools for interactive exploration difficult. While this "just-in-time" approach is attempted by projects like `docrepr` that is integrated both in `Jupyter` and `Spyder`, the -above limitation means interactive documentation lacks inline plots, crosslinks, -indexing, search and many custom directives. +above limitations means interactive documentation lacks inline plots, +crosslinks, indexing, search and many custom directives. Some of the above limitation are inherent to the design of documentation build -tools that were designed to build documentation in isolation. While sphinx -does provide features like `intersphinx`, link resolutions are done at -documentation build time and are thus inherently unidirectional. Even -considering `numpy` and `scipy` that are two extremely close libraries, having -proper cross-linked of documentation requires at least three 5 steps: +tools that were designed to build documentation in isolation. While sphinx does +provide features like `intersphinx`, link resolutions are done at documentation +build time and are thus inherently unidirectional, and can easily get broken. +For example, let's considering `numpy` and `scipy` which are two extremely close +libraries, having proper cross-linked documentation requires at least five +steps: - build NumPy documentation - publish NumPy ``object.inv`` file. -- build scipy documentation using NumPy ``obj.inv`` file. +- build SciPy documentation using NumPy ``obj.inv`` file. -- publish scipy ``object.inv`` file +- publish SciPy ``object.inv`` file -- rebuild NumPy docs to make use of scipy's ``obj.inv`` +- rebuild NumPy docs to make use of SciPy's ``obj.inv`` + +Only then can both SciPy's and NumPy's documentation refer to each other. Any of the created links being potentially invalidated on the publication of a -new version of any of those libraries. +new version of any of those libraries, which is something that regularly happen +[#]_. + -RPy2 moved : https://github.com/ipython/ipython/pull/12210 +.. [#] `ipython/ipython#12210 `_, `numpy/numpy#21016 `_, `& #29073 `_ This make using pre-produced html in IDEs and other tools difficult and error prone. This has also raised security issue where some institution are reluctant to use either tools like `docrepr` or viewing pre-produced html. -Editing docstring between a rock and a hard place -------------------------------------------------- +Editing docstrings between a rock and a hard place +-------------------------------------------------- -The numpydoc format is ubiquitous among the scientific ecosystem -https://numpydoc.readthedocs.io/en/latest/format.html, It is loosely based on -RST syntax, and despite supporting full rst syntax, docstrings often rarely -contain full-featured directive. As many tools show raw docstrings and are -incapable of interpreting directive on the fly maintainers are often pull in two -opposite directions. +The numpydoc format is ubiquitous among the scientific ecosystem [NPDOC]_ , It +is loosely based on RST syntax, and despite supporting full rst syntax, +docstrings often rarely contain full-featured directive. As many tools show raw +docstrings and are incapable of interpreting directive on the fly, even if they +could or had the right plugin, this may be computationally intensive which is +undesirable, and executing code to view docs could be a security risk. +Maintainers are thus often pull in two opposite directions. - keeping the docstrings simple, mostly text based with few directive in order to have readability to the end user that might be exposed to the docstring @@ -162,57 +165,27 @@ opposite directions. While tools like `docrepr` mitigate this problem, this is true only for IDE users and not Terminal users that will still be exposed to raw docstrings. This -leads to long discussions, for example in `sympy +leads to long discussions, for example in `SymPy ` on how should equations be represented in docstrings. - Some libraries would also prefer to use markdown in their docstrings, but this -would create inconsistencies for the end user with respect to rendering. - -Thus we have a +would create inconsistencies for the end user with respect to rendering, and +have the same dilemmas as above. - - -Making documentation multi-step -------------------------------- - -We first recognised that many of the customisation made by user when building -documentation with sphinx fall in two categories: - -- simpler input convenience. -- modification of final rendering. - - -Wether you customise the ``.. code-block:`` directive to execute or reformat your -entry, or create a ``:rc:`` role to link to configuration parameters, a large -number of custom directive and plug-in make it easier to create references, or -make sure the content is auto generated to avoid documentation becoming out of -sync with libraries source code. This first category often require arbitrary -code execution and must import the library you are currently building the -documentation for. - - -The second category of plugins attempt to improve the rendering in order to be -more user friendly. For example `sphinx-copybutton` add a button to easily copy -code snippets in a single click, `pydata-sphinx-theme` provide a different light -theme. We'll note that this second category many of the improvement can fall -into user preferences (`sphinx-rtd-dark-mode`), and developers end up making -choices on behalf of their end users: - -- which syntax highlight to use ? -- should I show type annotations ? -- do I provide a light or dark theme ? - - -We have often wished to modify the second category of extension and rebuild -documentation without having to go through the long and slow process of -rebuilding everything. +Finally a few library will dynamically modify their docstring at runtime in +order to avoid using directives. This can have runtime cost, as well as a more +complex maintenance and contribution cost. Goals Non Goals --------------- +Below we'll layout goals and non-goals. Non-goals are as much if not more +important than goals as they will frame the limit of the what the tools we'll +build can do, and the more limited our goals are the more we can reason about +the system and usually the smarter the tools can be. + Generic Website builder ~~~~~~~~~~~~~~~~~~~~~~~ @@ -220,7 +193,7 @@ Many of the existing projects to build online documentation are well established, extremely flexible and fits the need or their users. We are in no way trying to cover many of the use case covered by projects like sphinx, or Jupyter Book. When authors want or need complete control of the output and wide -personalisation options, or branding papyri is likely not the project to look +personalisation options, or branding; papyri is likely not the project to look at. That is to say single-project websites where appearance, layout, domain is controlled by the author is an explicit non-goal. @@ -234,65 +207,128 @@ We in particular are stricter on many of the rst directive than docutils and sphinx are, and we believe that a stricter requirements leads to more uniform documentation setup and syntax, which is simpler for contributors and allow to catch more errors at compile time. This is qualitatively supported by number of -documentation fixes we did upstream during the developments ADD REFERENCES, -HERE`. +documentation fixes we did upstream during the developments **ADD REFERENCES, +HERE to many fixes to numpy/scipy**. Prescribing documentation sctructure ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ We do not want to prescribe how to write documentation, and who it should be targeted to. Nonetheless as we have to make technical choices, and when possible -will keep in mind the Diátaxis Framework [DT]_ when possible. +will keep in mind the Diátaxis Framework [DT]_, this. Accessibility and User proficiency ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -We care about accessibility as well, one of the reason we will try to attach -semantic meaning to items in the documentation when possible. As we also want -documentation rendering to be separated from documentation building, this should -let users opt-in to accessibility features, like hight contrast themes. +We care about accessibility as well, this is one of the reason we will try to +attach semantic meaning to items in the documentation when possible. As we also +want documentation rendering to be separated from documentation building, this +should let users opt-in to accessibility features, like hight contrast themes, +or make it easier for speech to text library to consume the raw data. -We believe also renderer can add preferences and configuration to alter -representation of docs depending on the user proficiency. For example while type +We also want to separate rendering in order to give users the opportunity to alter +documentation depending on their proficiency. For example while type annotation is useful to the advance user it can be confusing for the neophyte. Similarly, newcomers tend to prefer working from examples, and could thus decide to promote examples earlier in the rendering. -Regardless of configure ability, we believe that a coherent experience where +Regardless of configurability, we believe that a coherent experience where documentation is uniform and in a single place should make users more comfortable with finding information. Simplicity, speed and independence ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -We still wish to have relative separation of documentation building, that is -to say we wish to be able to build the documentation for each library -independently. Especially library should be able to build without access to -documentation bundle from library they link to. +We wish to have relative independence of documentation building across +libraries. That is to say the system should be able to build documentation for a +single library, without the need to access documentation for another. -We do want IRD bundle installation to be relatively straightforward and fast. On -large distributed system, we cannot afford to have the installation speed to -grow polynomially with the number of installed packages. +We do want documentation installation and rendering to be relatively +straightforward and fast. On large distributed system, we cannot afford to have +the installation speed to grow polynomially with the number of installed +packages. -We do want the ability to have forward and backward links between pages. +We do want the ability to have forward and backward links and references between +pages. And we do want to ability to lookup documentation for an object from the interactive REPL. +The Papyri solution +------------------- + +Here we present the solution we came up that we believe solve most of the +problems we highlighted above, and then describe the current state of our +implementations. + +Making documentation multi-step +------------------------------- + +We first recognised that many of the customisation made by maintainers when +building documentation with sphinx and similar tools fall in two categories: + +- simpler input convenience. +- modification of final rendering. + + +Wether you customise the ``.. code-block:`` directive to execute or reformat +your entries, or create a ``:rc:`` role to link to configuration parameters, a +large number of custom directive and plug-in only purpose make it easier to +create references, or make sure the content is auto generated to avoid +documentation becoming out of sync with libraries source code. This first +category often require arbitrary code execution and must import the library you +are currently building the documentation for. + + +The second category of plugins attempt to improve the documentation final +rendering in order to be more user friendly. For example `sphinx-copybutton` add +a button to easily copy code snippets in a single click, `pydata-sphinx-theme` +provide a different appearance. + +We'll note that this second category many of the improvement can fall into user +preferences (`sphinx-rtd-dark-mode`), and developers end up making choices on +behalf of their end users: + +- which syntax highlight to use ? +- should I show type annotations ? +- do I provide a light or dark theme ? + + +We have often wished to modify the second category of extension and re-render +documentation without having to go through the long and slow process of +rebuilding and executing everything. + + +Thus our first choice was to have strict boundary between the two types of +plugins. The building or "generate" step of papyri that collect documentation +informations has no knowledge and no configuration options that permit to modify +the final appearance of the final documentation. + +The optional rendering process also have no knowledge of the building step, and +can be run without access to the libraries we are rendering documentation for. + +This a powerful separation of concern, that will give a number of advantages and +will allow us to achieve many features that are currently relatively hard with +current systems. This is not a new technique if we refer to the field of +compiler, where we can reason independently about each compilation units . Standard IRD format ------------------- -While we are still in search of a better name, most of the success of this -project relies on the definition of standard interchangeable Intermediate -Representation for Documentation format (IRD). +While we are still in search of a better name, most of the success of papyri +relies on the definition of standard interchangeable Intermediate +Representation for Documentation format (IRD). We borrow the name IR again from +compilers. This allow to separate concerns between M producers and N renderer, and reduce a M*N problem where each renderer need to be able to be able to consume input from each producer, to an N+M, where each producer should only care about producing IRD, and each renderer consume it. +This also allows us to take IRD from multiple producer are once, and render it +together to a single target, this breaking the silos between libraries. + As of the writing of this paper, IRD files are currently separated into multiple categories. @@ -312,21 +348,28 @@ categories. references, and no forward references. In addition to those 4 kinds of objects, metadata about the current package is -stored: library name, current version, pypi name, GitHub slug, maintainer name, +stored: library name, current version, pypi name, GitHub slug, maintainers names, logo, issue tracker and a few other. Allowing us to for example auto generate -link to issue tracker, or to source files. +link to issue tracker, or to source files when rendering. We also store a mapping from fully qualified names to canonical names, in order to properly resolve some references, of normalise links. - The final specification of the IRD file is unfinished, we thus invite you to consult the current state on the GitHub repository. +Those IRD files must be standardise in order to achieve our end goal, and +distribution of those files are not going to be covered in this paper. + + +IRD Installation +---------------- + + -High level Architecture ------------------------ +High level Usage +---------------- The papyri lifecycle for documentation can roughly be decomposed into 3 broad categories of stakeholders, and processes. @@ -335,7 +378,7 @@ The first stakeholders are library maintainers. Those should ensure that papyri can build Intermediate Representation Documentation (IRD) files. And publish and IRD bundle. -Creation of IRD files and bundles is a computation intensive step, that may +Creation of IRD files and bundles is the computation intensive step, that may requires complex dependencies, or specific plugins. Creation of these files may be a multi-step process or use external tooling that is not related to papyri or does not use Python. Note that these steps do not requires the libraries @@ -343,7 +386,7 @@ maintainer to worry about visual appearance and rendering of documentation. The second category of stakeholder are end-users. Those users are responsible -from installing IRD bundles from the libraries the wish to use on their +from installing IRD bundles from the libraries they wish to use on their machines. Note that IRD from libraries that are not in use are installable as well, and that IRD bundle not attached to a particular library could also be installed, providing for example domain specific tutorials or examples. @@ -375,29 +418,29 @@ uniquely identify each object. For this we decided to use the fully qualified names of an object. That is to say the concatenation of the module in which it is defined, with its local name. We encountered multiple edge cases with that. - - To mirror python syntax is it easy to use ``.`` to concatenate both parts. - Unfortunately that leads to ambiguity when modules re-export functions of - the same name. +- To mirror python syntax is it easy to use ``.`` to concatenate both parts. + Unfortunately that leads to ambiguity when modules re-export functions of + the same name. - .. code-block:: python + .. code-block:: python - # module mylib/__init__.py + # module mylib/__init__.py - from .mything import mything + from .mything import mything - ``mylib.mything`` is ambiguous with respect to the ``mything`` submodule and - the object reexported. In future version we'll use ``:`` as a module/name - separator. + ``mylib.mything`` is ambiguous with respect to the ``mything`` submodule and + the object reexported. In future version we'll use ``:`` as a module/name + separator. - - Decorated functions or other dynamic approaches to expose function to users - end up having ``>`` in their fully qualified names, which is invalid. +- Decorated functions or other dynamic approaches to expose function to users + end up having ``>`` in their fully qualified names, which is invalid. - - Many builtins functions (``np.sin``, ``np.cos``, ...) do not have a fully - qualified name that can be extracted by object introspection. +- Many builtins functions (``np.sin``, ``np.cos``, ...) do not have a fully + qualified name that can be extracted by object introspection. - - Fully qualified names are often not canonical names (the name you typically - use for import), and finding the canonical name automatically is not always - straitforward. +- Fully qualified names are often not canonical names (the name you typically + use for import), and finding the canonical name automatically is not always + straitforward. We also came across challenges with case sensitivity, in particular of filesystems, and a couple of object have same fully qualified name up to @@ -542,6 +585,7 @@ Is is common for compiler to use IR (MIRI, LLVM IR) Not a novel idea, allow to mix compilation from multiple targets, LTO. Diataxis rustdocs. +https://markdoc.io/ @@ -580,7 +624,6 @@ rustdocs. -It is well known [Atr03]_ that Spice grows on the planet Dune. Test some maths, for example :math:`e^{\pi i} + 3 \delta`. Or maybe an equation on a separate line: @@ -743,4 +786,6 @@ References .. [IR] https://en.wikipedia.org/wiki/Intermediate_representation .. [LTO] https://en.wikipedia.org/wiki/Interprocedural_optimization .. [DT] https://diataxis.fr/ -.. [CFORGE] https://conda-forge.org/ +.. [CFRG] https://conda-forge.org/ +.. [MYST] https://myst-parser.readthedocs.io/en/latest/ +.. [NPDOC] https://numpydoc.readthedocs.io/en/latest/format.html From 2747f92eea0b0c05a2f32a3297c83caf63ad5595 Mon Sep 17 00:00:00 2001 From: Camille Carvalho Date: Mon, 16 May 2022 09:25:23 +0200 Subject: [PATCH 12/40] edits intro --- papers/bussonnier/papyri.rst | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/papers/bussonnier/papyri.rst b/papers/bussonnier/papyri.rst index 87fac816cf..d055e14f12 100644 --- a/papers/bussonnier/papyri.rst +++ b/papers/bussonnier/papyri.rst @@ -15,8 +15,7 @@ Papyri: Better documentation for the Scientific Ecosystem in Jupyter provide a better documentation experience for the scientific ecosystem. In particular, we wish to provide a documentation browser from within Jupyter or other IDEs and Python editors that gives a unified experience, cross library - navigation search and indexing. *I don't understand the last part of the - sentence (let's chat).* By decoupling documentation generation from + navigation search and indexing. By decoupling documentation generation from rendering we hope this can help address some of the documentation accessibility concerns, and allow customisation based on users' preferences. @@ -48,16 +47,16 @@ users stumble across an old documentation version that is better ranked in their favorite search engine, and this impacts less experienced users' learning greatly. -The experience on users's local machine is not better: -While access to inspector in many IDE provides some documentation, it does not -get access to the narrative, or full documentation gallery. Command Line +.. The experience on users' local machine is not better: while access to inspector in many **Integrated Development Environments (IDEs)** provides some documentation, it does not get access to the narrative, or full documentation gallery. Command Line Interface (CLI) users are in an even worse place as raw source is often displayed and no navigation is possible. -Maintainers are not either in a good position, we do not want to have to think +.. Maintainers are not either in a good position, we do not want to have to think about final rendering. Though we would like users to gain from improvement in the rendering without having to rebuild all our docs. +The experience on users' local machine is affected by limited documentation rendering. Indeed, while the inspector in many **Integrated Development Environments (IDEs)** provides some documentation, users do not get access to the narrative, or full documentation gallery. For Command Line Interface (CLI) users, documentation is often displayed as raw source where no navigation is possible. On the maintainers' side, the final documentation rendering is less a priority. Rather, maintainers aim at making users gain from improvement in the rendering without having to rebuild all the docs. + Efforts such as conda-forge [CFRG]_ have shown that concerted efforts can give a much better experience to end-users, and in today's world where sharing libraries source on code platforms, continuous integration, and many other tools @@ -66,10 +65,11 @@ libraries of the scientific Python is should be available. Thus, against all advice we received and our own experience, we have decided to rebuild an opinionated documentation framework, from scratch, and with minimal -dependencies: **Paryri**. Papyri focus on building an intermediate documentation -representation format, that let us decoupling building, and rendering the docs; -highly simplifying many operations and giving us access to many desired features -not available until now. +dependencies: **Papyri**. Papyri **focuses** on building an intermediate documentation +representation format, that **lets** us decoupling building, and rendering the docs. +**This highly simplifies many operations and gives us access to many desired features that where not available up to now.** + +**Outline** It what follows we provide... Parallel with to Compiled languages From cfad97d00205dee4fd2628629687a26713e148f8 Mon Sep 17 00:00:00 2001 From: Camille Carvalho Date: Mon, 16 May 2022 14:44:39 +0200 Subject: [PATCH 13/40] edits intro and section 1 (need 1.3 to be edited still) --- papers/bussonnier/papyri.rst | 234 +++++++++++++++++++++-------------- 1 file changed, 144 insertions(+), 90 deletions(-) diff --git a/papers/bussonnier/papyri.rst b/papers/bussonnier/papyri.rst index d055e14f12..7e0734cf4a 100644 --- a/papers/bussonnier/papyri.rst +++ b/papers/bussonnier/papyri.rst @@ -47,13 +47,9 @@ users stumble across an old documentation version that is better ranked in their favorite search engine, and this impacts less experienced users' learning greatly. -.. The experience on users' local machine is not better: while access to inspector in many **Integrated Development Environments (IDEs)** provides some documentation, it does not get access to the narrative, or full documentation gallery. Command Line -Interface (CLI) users are in an even worse place as raw source is often -displayed and no navigation is possible. +.. The experience on users' local machine is not better: while access to inspector in many **Integrated Development Environments (IDEs)** provides some documentation, it does not get access to the narrative, or full documentation gallery. Command Line Interface (CLI) users are in an even worse place as raw source is often displayed and no navigation is possible. -.. Maintainers are not either in a good position, we do not want to have to think -about final rendering. Though we would like users to gain from improvement in -the rendering without having to rebuild all our docs. +.. Maintainers are not either in a good position, we do not want to have to think about final rendering. Though we would like users to gain from improvement in the rendering without having to rebuild all our docs. The experience on users' local machine is affected by limited documentation rendering. Indeed, while the inspector in many **Integrated Development Environments (IDEs)** provides some documentation, users do not get access to the narrative, or full documentation gallery. For Command Line Interface (CLI) users, documentation is often displayed as raw source where no navigation is possible. On the maintainers' side, the final documentation rendering is less a priority. Rather, maintainers aim at making users gain from improvement in the rendering without having to rebuild all the docs. @@ -69,56 +65,33 @@ dependencies: **Papyri**. Papyri **focuses** on building an intermediate documen representation format, that **lets** us decoupling building, and rendering the docs. **This highly simplifies many operations and gives us access to many desired features that where not available up to now.** -**Outline** It what follows we provide... +**It what follows we provide the framework in which Papyri has been created and present its objectives (Context and goals), we describe the Papyri features (format, installation, and usage), then present its current implementation. We end this paper with comments on current challenges and future work.** -Parallel with to Compiled languages ------------------------------------ - -We'll draw several comparison between documentation building and compiled -languages, plus borrow an adapt a couple of terms from the domain. Needed, what -is building the documentation bur going from a source-code meant for a machine +1) Context, goals and non-goals +------------------------------- +Through out the paper, we will draw several comparisons between documentation building and compiled +languages. Also, we will borrow and adapt commonly used terminology. In particular, similarities with "ahead-of-time (AOT)" [AOT]_, +"just-in-time (JIT)" [JIT]_, "intermediate representation (IR)" [IR]_, link-time +optimization (LTO) [LTO]_, static vs dynamic linking will be highlighted. This allows to clarify the presentation of the underlying architecture, however there is no requirement to be familiar with the above to understand the concepts underneath Papyri. In that context, we wish to discuss documentation building as a process from a source-code meant for a machine to a final output targeting the flesh and blood machine between the keyboard and -the chair. - -In particular we'll draw similarities with "ahead-of-time" [AOT]_, -"just-in-time" [JIT]_, "intermediate representation (IR)" [IR]_, link-time -optimization (LTO) [LTO]_, static vs dynamic linking. - -If you are familiar with these concept that might be a good parallel to keep in -mind in order to follow the reasoning and architecture, but is not necessary to -understand the concepts behind papyri. - -Current Tools and their limitations ------------------------------------ - -It is difficult to speak about the scientific python ecosystem documentation -without making reference to docutils [docutils]_ and sphinx [sphinx]_ which are -virtually use by all the libraries in the scientific Python ecosystem. Both -these libraries are the cornerstone of publishing html documentation for Python. -While few alternative exists, most tools and services have some internal -knowledge of sphinx. Read the Docs [RTD]_ provide a specific sphinx theme -[RTD-theme]_ user can opt-in to, `Jupyter-book` is built on top of sphinx, and -MyST parser [MYST]_ which is made to allow markdown in documentation does targets -sphinx as a backend. - -All the above tools provides an "ahead of time" documentation compilation and -rendering, a step which is slow and computationally intensive. Each project -needs its specific plugins, extensions and configurations to properly build. It -is also often relatively difficult to build documentation for a single object (a -single function, module or class), making use of those tools for interactive -exploration difficult. While this "just-in-time" approach is attempted by -projects like `docrepr` that is integrated both in `Jupyter` and `Spyder`, the -above limitations means interactive documentation lacks inline plots, -crosslinks, indexing, search and many custom directives. - - -Some of the above limitation are inherent to the design of documentation build -tools that were designed to build documentation in isolation. While sphinx does +the chair. + +1) Current tools and limitations +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +In the scientific Python ecosystem, it is well known that Docutils [docutils]_ and Sphinx [sphinx]_ are major cornerstones for publishing html documentation for Python, and are used by all the libraries in this ecosystem. While a few alternatives exist, most tools and services have some internal knowledge of Sphinx. For instance, `Read the Docs` [RTD]_ provides a specific Sphinx theme +[RTD-theme]_ users can opt-in to, `Jupyter-book` is built on top of Sphinx, and MyST parser [MYST]_ which is made to allow markdown in documentation does targets +Sphinx as a backend, to name a few. All of the above provides an "ahead-of-time" documentation compilation and +rendering, which is slow and computationally intensive. When a project needs its specific plugins, extensions and configurations to properly build (which is almost always the case), it is relatively difficult to build documentation for a single object (like a single function, module or class). This makes (AOT) tools difficult to use for interactive +exploration. One can then consier a "just-in-time" approach, as done for `Docrepr` (integrated both in `Jupyter` and `Spyder`). However in that case, interactive documentation lacks inline plots, crosslinks, indexing, search and many custom directives. + +Some of the above limitations are inherent to the design of documentation build +tools that were designed to build documentation separately. While Sphinx does provide features like `intersphinx`, link resolutions are done at documentation -build time and are thus inherently unidirectional, and can easily get broken. -For example, let's considering `numpy` and `scipy` which are two extremely close -libraries, having proper cross-linked documentation requires at least five +build time. Thus, this is inherently unidirectional, and can easily get broken. +To illustrate this, we consider `NumPy` and `SciPy`, two extremely close +libraries. In order to obtain proper cross-linked documentation, one is required to perform at least five steps: - build NumPy documentation @@ -131,55 +104,31 @@ steps: - rebuild NumPy docs to make use of SciPy's ``obj.inv`` -Only then can both SciPy's and NumPy's documentation refer to each other. - -Any of the created links being potentially invalidated on the publication of a -new version of any of those libraries, which is something that regularly happen -[#]_. - +Only then can both SciPy's and NumPy's documentation refer to each other. As one can expect, crosslinks break everytime a new version of a library is published [#]_. Pre-produced html in IDEs and other tools are then prone to error and difficult to maintain. This also raises security issues: some institutions become reluctant to use tools like `Docrepr` or viewing pre-produced html. .. [#] `ipython/ipython#12210 `_, `numpy/numpy#21016 `_, `& #29073 `_ -This make using pre-produced html in IDEs and other tools difficult and error -prone. This has also raised security issue where some institution are reluctant -to use either tools like `docrepr` or viewing pre-produced html. - -Editing docstrings between a rock and a hard place --------------------------------------------------- +2) Editing docstrings between a rock and a hard place +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -The numpydoc format is ubiquitous among the scientific ecosystem [NPDOC]_ , It +The `numpydoc` format is ubiquitous among the scientific ecosystem [NPDOC]_. It is loosely based on RST syntax, and despite supporting full rst syntax, -docstrings often rarely contain full-featured directive. As many tools show raw -docstrings and are incapable of interpreting directive on the fly, even if they -could or had the right plugin, this may be computationally intensive which is -undesirable, and executing code to view docs could be a security risk. -Maintainers are thus often pull in two opposite directions. +docstrings rarely contain full-featured directive. Maintainers confronted to the following dilemma: -- keeping the docstrings simple, mostly text based with few directive in order - to have readability to the end user that might be exposed to the docstring - when using tools like IPython and Jupyter. - -- Write an extensive docstring, with references, and directive that - potentially create graphics, tables and more, but impede readability. - -While tools like `docrepr` mitigate this problem, this is true only for IDE -users and not Terminal users that will still be exposed to raw docstrings. This -leads to long discussions, for example in `SymPy -` on how should equations be -represented in docstrings. +- keep the docstrings simple. This means mostly text based docstrings with few directive for efficient readability. The end-user may be exposed to raw docstring, there is no on-the-fly directive interpretation. + This is the case for tools such as IPython and Jupyter. -Some libraries would also prefer to use markdown in their docstrings, but this -would create inconsistencies for the end user with respect to rendering, and -have the same dilemmas as above. +- write an extensive docstring. This includes references, and directive that + potentially create graphics, tables and more, allowing a riched end-user experience. However this may be computationally intensive, and executing code to view docs could be a security risk. -Finally a few library will dynamically modify their docstring at runtime in -order to avoid using directives. This can have runtime cost, as well as a more -complex maintenance and contribution cost. +Other factors enhance this choice: (i) users, (ii) format, (iii) runtime. IDE users or not Terminal users motivate to push for extensive docstrings, and tools like `Docrepr` can mitigate this problem. However, users are often exposed to raw docstrings (see for example the discussion `SymPy +`_ on how should equations be +represented in docstrings). In terms of format, markdown is appealing, however inconsistencies in the rendering will be created between libraries. Finally, some libraries can dynamically modify their docstring at runtime. While this avoids using directives, it ends up more expensive (runtime costs, complex maintenance, and contribution costs). -Goals Non Goals ---------------- +3) Goals and non-goals +~~~~~~~~~~~~~~~~~~~~~~ Below we'll layout goals and non-goals. Non-goals are as much if not more important than goals as they will frame the limit of the what the tools we'll @@ -255,6 +204,111 @@ pages. And we do want to ability to lookup documentation for an object from the interactive REPL. +.. Parallel with to Compiled languages +.. ----------------------------------- + +.. We will draw several comparison between documentation building and compiled +.. languages, plus borrow an adapt a couple of terms from the domain. Needed, what +.. is building the documentation bur going from a source-code meant for a machine +.. to a final output targeting the flesh and blood machine between the keyboard and +.. the chair. + +.. In particular we'll draw similarities with "ahead-of-time" [AOT]_, +.. "just-in-time" [JIT]_, "intermediate representation (IR)" [IR]_, link-time +.. optimization (LTO) [LTO]_, static vs dynamic linking. + +.. If you are familiar with these concept that might be a good parallel to keep in +.. mind in order to follow the reasoning and architecture, but is not necessary to +.. understand the concepts behind papyri. + +.. Current Tools and their limitations +.. ----------------------------------- + +.. It is difficult to speak about the scientific python ecosystem documentation +.. without making reference to docutils [docutils]_ and sphinx [sphinx]_ which are +.. virtually use by all the libraries in the scientific Python ecosystem. Both +.. these libraries are the cornerstone of publishing html documentation for Python. +.. While few alternative exists, most tools and services have some internal +.. knowledge of sphinx. Read the Docs [RTD]_ provide a specific sphinx theme +.. [RTD-theme]_ user can opt-in to, `Jupyter-book` is built on top of sphinx, and +.. MyST parser [MYST]_ which is made to allow markdown in documentation does targets +.. sphinx as a backend. + +.. All the above tools provides an "ahead of time" documentation compilation and +.. rendering, a step which is slow and computationally intensive. Each project +.. needs its specific plugins, extensions and configurations to properly build. It +.. is also often relatively difficult to build documentation for a single object (a +.. single function, module or class), making use of those tools for interactive +.. exploration difficult. While this "just-in-time" approach is attempted by +.. projects like `docrepr` that is integrated both in `Jupyter` and `Spyder`, the +.. above limitations means interactive documentation lacks inline plots, +.. crosslinks, indexing, search and many custom directives. + + +.. Some of the above limitation are inherent to the design of documentation build +.. tools that were designed to build documentation in isolation. While sphinx does +.. provide features like `intersphinx`, link resolutions are done at documentation +.. build time and are thus inherently unidirectional, and can easily get broken. +.. For example, let's considering `numpy` and `scipy` which are two extremely close +.. libraries, having proper cross-linked documentation requires at least five +.. steps: + +.. - build NumPy documentation + +.. - publish NumPy ``object.inv`` file. + +.. - build SciPy documentation using NumPy ``obj.inv`` file. + +.. - publish SciPy ``object.inv`` file + +.. - rebuild NumPy docs to make use of SciPy's ``obj.inv`` + +.. Only then can both SciPy's and NumPy's documentation refer to each other. + +.. Any of the created links being potentially invalidated on the publication of a +.. new version of any of those libraries, which is something that regularly happen +.. [#]_. + + +.. .. [#] `ipython/ipython#12210 `_, `numpy/numpy#21016 `_, `& #29073 `_ + + +.. This make using pre-produced html in IDEs and other tools difficult and error +.. prone. This has also raised security issue where some institution are reluctant +.. to use either tools like `docrepr` or viewing pre-produced html. + +.. Editing docstrings between a rock and a hard place +.. -------------------------------------------------- + +.. The numpydoc format is ubiquitous among the scientific ecosystem [NPDOC]_ , It +.. is loosely based on RST syntax, and despite supporting full rst syntax, +.. docstrings often rarely contain full-featured directive. As many tools show raw +.. docstrings and are incapable of interpreting directive on the fly, even if they +.. could or had the right plugin, this may be computationally intensive which is +.. undesirable, and executing code to view docs could be a security risk. +.. Maintainers are thus often pull in two opposite directions. + +.. - keeping the docstrings simple, mostly text based with few directive in order + to have readability to the end user that might be exposed to the docstring + when using tools like IPython and Jupyter. + +.. - Write an extensive docstring, with references, and directive that +.. potentially create graphics, tables and more, but impede readability. + +.. While tools like `docrepr` mitigate this problem, this is true only for IDE +.. users and not Terminal users that will still be exposed to raw docstrings. This +.. leads to long discussions, for example in `SymPy +.. `_ on how should equations be +.. represented in docstrings. + +.. Some libraries would also prefer to use markdown in their docstrings, but this +.. would create inconsistencies for the end user with respect to rendering, and +.. have the same dilemmas as above. + +.. Finally a few library will dynamically modify their docstring at runtime in +.. order to avoid using directives. This can have runtime cost, as well as a more +.. complex maintenance and contribution cost. + The Papyri solution ------------------- From c0af4e571ecf83a3e9aa85ebc2e7bbfeef7e93c5 Mon Sep 17 00:00:00 2001 From: Matthias Bussonnier Date: Tue, 17 May 2022 13:20:34 +0200 Subject: [PATCH 14/40] typoes --- papers/bussonnier/papyri.rst | 62 +++++++++++++++++++++++++----------- 1 file changed, 43 insertions(+), 19 deletions(-) diff --git a/papers/bussonnier/papyri.rst b/papers/bussonnier/papyri.rst index 7e0734cf4a..c10d6c07c8 100644 --- a/papers/bussonnier/papyri.rst +++ b/papers/bussonnier/papyri.rst @@ -47,11 +47,14 @@ users stumble across an old documentation version that is better ranked in their favorite search engine, and this impacts less experienced users' learning greatly. -.. The experience on users' local machine is not better: while access to inspector in many **Integrated Development Environments (IDEs)** provides some documentation, it does not get access to the narrative, or full documentation gallery. Command Line Interface (CLI) users are in an even worse place as raw source is often displayed and no navigation is possible. - -.. Maintainers are not either in a good position, we do not want to have to think about final rendering. Though we would like users to gain from improvement in the rendering without having to rebuild all our docs. - -The experience on users' local machine is affected by limited documentation rendering. Indeed, while the inspector in many **Integrated Development Environments (IDEs)** provides some documentation, users do not get access to the narrative, or full documentation gallery. For Command Line Interface (CLI) users, documentation is often displayed as raw source where no navigation is possible. On the maintainers' side, the final documentation rendering is less a priority. Rather, maintainers aim at making users gain from improvement in the rendering without having to rebuild all the docs. +The experience on users' local machine is affected by limited documentation +rendering. Indeed, while the inspector in many **Integrated Development +Environments (IDEs)** provides some documentation, users do not get access to +the narrative, or full documentation gallery. For Command Line Interface (CLI) +users, documentation is often displayed as raw source where no navigation is +possible. On the maintainers' side, the final documentation rendering is less a +priority. Rather, maintainers should aim at making users gain from improvement +in the rendering without having to rebuild all the docs. Efforts such as conda-forge [CFRG]_ have shown that concerted efforts can give a much better experience to end-users, and in today's world where sharing @@ -61,30 +64,51 @@ libraries of the scientific Python is should be available. Thus, against all advice we received and our own experience, we have decided to rebuild an opinionated documentation framework, from scratch, and with minimal -dependencies: **Papyri**. Papyri **focuses** on building an intermediate documentation -representation format, that **lets** us decoupling building, and rendering the docs. -**This highly simplifies many operations and gives us access to many desired features that where not available up to now.** +dependencies: **Papyri**. Papyri **focuses** on building an intermediate +documentation representation format, that **lets** us decouple building, and +rendering the docs. **This highly simplifies many operations and gives us access +to many desired features that where not available up to now.** -**It what follows we provide the framework in which Papyri has been created and present its objectives (Context and goals), we describe the Papyri features (format, installation, and usage), then present its current implementation. We end this paper with comments on current challenges and future work.** +**In what follows we provide the framework in which Papyri has been created and +present its objectives (Context and goals), we describe the Papyri features +(format, installation, and usage), then present its current implementation. We +end this paper with comments on current challenges and future work.** 1) Context, goals and non-goals ------------------------------- -Through out the paper, we will draw several comparisons between documentation building and compiled -languages. Also, we will borrow and adapt commonly used terminology. In particular, similarities with "ahead-of-time (AOT)" [AOT]_, + +Through out the paper, we will draw several comparisons between documentation +building and compiled languages. Also, we will borrow and adapt commonly used +terminology. In particular, similarities with "ahead-of-time (AOT)" [AOT]_, "just-in-time (JIT)" [JIT]_, "intermediate representation (IR)" [IR]_, link-time -optimization (LTO) [LTO]_, static vs dynamic linking will be highlighted. This allows to clarify the presentation of the underlying architecture, however there is no requirement to be familiar with the above to understand the concepts underneath Papyri. In that context, we wish to discuss documentation building as a process from a source-code meant for a machine -to a final output targeting the flesh and blood machine between the keyboard and -the chair. +optimization (LTO) [LTO]_, static vs dynamic linking will be highlighted. This +allows to clarify the presentation of the underlying architecture, however there +is no requirement to be familiar with the above to understand the concepts +underneath Papyri. In that context, we wish to discuss documentation building as +a process from a source-code meant for a machine to a final output targeting the +flesh and blood machine between the keyboard and the chair. 1) Current tools and limitations ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -In the scientific Python ecosystem, it is well known that Docutils [docutils]_ and Sphinx [sphinx]_ are major cornerstones for publishing html documentation for Python, and are used by all the libraries in this ecosystem. While a few alternatives exist, most tools and services have some internal knowledge of Sphinx. For instance, `Read the Docs` [RTD]_ provides a specific Sphinx theme -[RTD-theme]_ users can opt-in to, `Jupyter-book` is built on top of Sphinx, and MyST parser [MYST]_ which is made to allow markdown in documentation does targets -Sphinx as a backend, to name a few. All of the above provides an "ahead-of-time" documentation compilation and -rendering, which is slow and computationally intensive. When a project needs its specific plugins, extensions and configurations to properly build (which is almost always the case), it is relatively difficult to build documentation for a single object (like a single function, module or class). This makes (AOT) tools difficult to use for interactive -exploration. One can then consier a "just-in-time" approach, as done for `Docrepr` (integrated both in `Jupyter` and `Spyder`). However in that case, interactive documentation lacks inline plots, crosslinks, indexing, search and many custom directives. +In the scientific Python ecosystem, it is well known that Docutils [docutils]_ +and Sphinx [sphinx]_ are major cornerstones for publishing html documentation +for Python, and are used by all the libraries in this ecosystem. While a few +alternatives exist, most tools and services have some internal knowledge of +Sphinx. For instance, `Read the Docs` [RTD]_ provides a specific Sphinx theme +[RTD-theme]_ users can opt-in to, `Jupyter-book` is built on top of Sphinx, and +MyST parser [MYST]_ which is made to allow markdown in documentation does +targets Sphinx as a backend, to name a few. All of the above provides an +"ahead-of-time" documentation compilation and rendering, which is slow and +computationally intensive. When a project needs its specific plugins, extensions +and configurations to properly build (which is almost always the case), it is +relatively difficult to build documentation for a single object (like a single +function, module or class). This makes (AOT) tools difficult to use for +interactive exploration. One can then consider a "just-in-time" approach, as done +for `Docrepr` (integrated both in `Jupyter` and `Spyder`). However in that case, +interactive documentation lacks inline plots, crosslinks, indexing, search and +many custom directives. Some of the above limitations are inherent to the design of documentation build tools that were designed to build documentation separately. While Sphinx does From 67ef338e9be4bfe0ce9eddd00ef42e215cfc6047 Mon Sep 17 00:00:00 2001 From: Camille Carvalho Date: Wed, 18 May 2022 11:14:10 +0200 Subject: [PATCH 15/40] edits section 1.3 --- papers/bussonnier/papyri.rst | 138 ++++++++++++----------------------- 1 file changed, 48 insertions(+), 90 deletions(-) diff --git a/papers/bussonnier/papyri.rst b/papers/bussonnier/papyri.rst index c10d6c07c8..fec4d0e0c1 100644 --- a/papers/bussonnier/papyri.rst +++ b/papers/bussonnier/papyri.rst @@ -5,9 +5,9 @@ :orcid: 0000-0002-7636-8632 :corresponding: --------------------------------------------------------------------- +==================================================================== Papyri: Better documentation for the Scientific Ecosystem in Jupyter --------------------------------------------------------------------- +==================================================================== .. class:: abstract @@ -25,7 +25,7 @@ Papyri: Better documentation for the Scientific Ecosystem in Jupyter Document, Jupyter, ecosystem, accessibility Introduction ------------- +============ Over the past decades, the Python ecosystem has grown rapidly, and one of the last bastion where some of the proprietary competition tools shine is integrated @@ -48,8 +48,8 @@ favorite search engine, and this impacts less experienced users' learning greatly. The experience on users' local machine is affected by limited documentation -rendering. Indeed, while the inspector in many **Integrated Development -Environments (IDEs)** provides some documentation, users do not get access to +rendering. Indeed, while the inspector in many Integrated Development +Environments (IDEs) provides some documentation, users do not get access to the narrative, or full documentation gallery. For Command Line Interface (CLI) users, documentation is often displayed as raw source where no navigation is possible. On the maintainers' side, the final documentation rendering is less a @@ -60,23 +60,23 @@ Efforts such as conda-forge [CFRG]_ have shown that concerted efforts can give a much better experience to end-users, and in today's world where sharing libraries source on code platforms, continuous integration, and many other tools is ubiquitous, we believe a better documentation framework for many of the -libraries of the scientific Python is should be available. +libraries of the scientific Python should be available. Thus, against all advice we received and our own experience, we have decided to -rebuild an opinionated documentation framework, from scratch, and with minimal -dependencies: **Papyri**. Papyri **focuses** on building an intermediate -documentation representation format, that **lets** us decouple building, and -rendering the docs. **This highly simplifies many operations and gives us access -to many desired features that where not available up to now.** +rebuild an *opinionated* documentation framework, from scratch, and with minimal +dependencies: *Papyri*. Papyri focuses on building an intermediate +documentation representation format, that lets us decouple building, and +rendering the docs. This highly simplifies many operations and gives us access +to many desired features that where not available up to now. -**In what follows we provide the framework in which Papyri has been created and +In what follows we provide the framework in which Papyri has been created and present its objectives (Context and goals), we describe the Papyri features (format, installation, and usage), then present its current implementation. We -end this paper with comments on current challenges and future work.** +end this paper with comments on current challenges and future work. -1) Context, goals and non-goals -------------------------------- +1) Context and objectives +========================= Through out the paper, we will draw several comparisons between documentation building and compiled languages. Also, we will borrow and adapt commonly used @@ -90,7 +90,7 @@ a process from a source-code meant for a machine to a final output targeting the flesh and blood machine between the keyboard and the chair. 1) Current tools and limitations -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +-------------------------------- In the scientific Python ecosystem, it is well known that Docutils [docutils]_ and Sphinx [sphinx]_ are major cornerstones for publishing html documentation @@ -99,7 +99,7 @@ alternatives exist, most tools and services have some internal knowledge of Sphinx. For instance, `Read the Docs` [RTD]_ provides a specific Sphinx theme [RTD-theme]_ users can opt-in to, `Jupyter-book` is built on top of Sphinx, and MyST parser [MYST]_ which is made to allow markdown in documentation does -targets Sphinx as a backend, to name a few. All of the above provides an +targets Sphinx as a backend, to name a few. All of the above provide an "ahead-of-time" documentation compilation and rendering, which is slow and computationally intensive. When a project needs its specific plugins, extensions and configurations to properly build (which is almost always the case), it is @@ -111,7 +111,7 @@ interactive documentation lacks inline plots, crosslinks, indexing, search and many custom directives. Some of the above limitations are inherent to the design of documentation build -tools that were designed to build documentation separately. While Sphinx does +tools that were intended for a separate documentation construction. While Sphinx does provide features like `intersphinx`, link resolutions are done at documentation build time. Thus, this is inherently unidirectional, and can easily get broken. To illustrate this, we consider `NumPy` and `SciPy`, two extremely close @@ -133,100 +133,58 @@ Only then can both SciPy's and NumPy's documentation refer to each other. As one .. [#] `ipython/ipython#12210 `_, `numpy/numpy#21016 `_, `& #29073 `_ -2) Editing docstrings between a rock and a hard place -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +2) Docstrings format +-------------------- The `numpydoc` format is ubiquitous among the scientific ecosystem [NPDOC]_. It is loosely based on RST syntax, and despite supporting full rst syntax, docstrings rarely contain full-featured directive. Maintainers confronted to the following dilemma: -- keep the docstrings simple. This means mostly text based docstrings with few directive for efficient readability. The end-user may be exposed to raw docstring, there is no on-the-fly directive interpretation. - This is the case for tools such as IPython and Jupyter. +- keep the docstrings simple. This means mostly text-based docstrings with few directive for efficient readability. The end-user may be exposed to raw docstring, there is no on-the-fly directive interpretation. This is the case for tools such as IPython and Jupyter. - write an extensive docstring. This includes references, and directive that - potentially create graphics, tables and more, allowing a riched end-user experience. However this may be computationally intensive, and executing code to view docs could be a security risk. + potentially creates graphics, tables and more, allowing an enriched end-user experience. However this may be computationally intensive, and executing code to view docs could be a security risk. -Other factors enhance this choice: (i) users, (ii) format, (iii) runtime. IDE users or not Terminal users motivate to push for extensive docstrings, and tools like `Docrepr` can mitigate this problem. However, users are often exposed to raw docstrings (see for example the discussion `SymPy +Other factors impact this choice: (i) users, (ii) format, (iii) runtime. IDE users or non-Terminal users motivate to push for extensive docstrings, and tools like `Docrepr` can mitigate this problem. However, users are often exposed to raw docstrings (see for example the discussion `SymPy `_ on how should equations be -represented in docstrings). In terms of format, markdown is appealing, however inconsistencies in the rendering will be created between libraries. Finally, some libraries can dynamically modify their docstring at runtime. While this avoids using directives, it ends up more expensive (runtime costs, complex maintenance, and contribution costs). +represented in docstrings). In terms of format, markdown is appealing, however inconsistencies in the rendering will be created between libraries. Finally, some libraries can dynamically modify their docstring at runtime. While this avoids using directives, it ends up being more expensive (runtime costs, complex maintenance, and contribution costs). -3) Goals and non-goals -~~~~~~~~~~~~~~~~~~~~~~ +3) Objectives of the project +---------------------------- -Below we'll layout goals and non-goals. Non-goals are as much if not more -important than goals as they will frame the limit of the what the tools we'll -build can do, and the more limited our goals are the more we can reason about -the system and usually the smarter the tools can be. +We now layout the objectives of the Papyri documentation framework. +Let us emphasize that the project is no way intended to replace or cover many features included in well established documentation tools such as Sphinx or Jupyter-book. +Those projects are extremely flexible and fit the need of their users. The Papyri project addresses specific documentation challenges (mentioned above), we present below what is (and what is not) the scope of work. -Generic Website builder -~~~~~~~~~~~~~~~~~~~~~~~ - -Many of the existing projects to build online documentation are well -established, extremely flexible and fits the need or their users. We are in no -way trying to cover many of the use case covered by projects like sphinx, or -Jupyter Book. When authors want or need complete control of the output and wide -personalisation options, or branding; papyri is likely not the project to look -at. That is to say single-project websites where appearance, layout, domain is -controlled by the author is an explicit non-goal. - -Full compatibility with current systems -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -For user who are already using sphinx, mkdocs or other projects and are -interested in using Papyri, we also not targeting 100% compatibilities. You -should expect your project to requires minor modifications to work with papyri. -We in particular are stricter on many of the rst directive than docutils and -sphinx are, and we believe that a stricter requirements leads to more uniform -documentation setup and syntax, which is simpler for contributors and allow to -catch more errors at compile time. This is qualitatively supported by number of -documentation fixes we did upstream during the developments **ADD REFERENCES, -HERE to many fixes to numpy/scipy**. +a) A generic (little customisable) website builder +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -Prescribing documentation sctructure -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +When authors want or need complete control of the output and wide +personalisation options, or branding, then Papyri is likely not the project to look +at. That is to say single-project websites where appearance, layout, domain need to be +controlled by the author is not part of the objectives. -We do not want to prescribe how to write documentation, and who it should be -targeted to. Nonetheless as we have to make technical choices, and when possible -will keep in mind the Diátaxis Framework [DT]_, this. +b) A uniform documentation structure and syntax +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -Accessibility and User proficiency -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -We care about accessibility as well, this is one of the reason we will try to -attach semantic meaning to items in the documentation when possible. As we also -want documentation rendering to be separated from documentation building, this -should let users opt-in to accessibility features, like hight contrast themes, -or make it easier for speech to text library to consume the raw data. - -We also want to separate rendering in order to give users the opportunity to alter -documentation depending on their proficiency. For example while type -annotation is useful to the advance user it can be confusing for the neophyte. - -Similarly, newcomers tend to prefer working from examples, and could thus decide -to promote examples earlier in the rendering. +The Papyri project prescribes stricter requirements in terms of format and structure compared to other tools such as Docutils and Sphinx. When possible, the documentation follows the Diátaxis Framework [DT]_. This provides a uniform documentation setup and syntax, simplifying contributions to the project and easing error catching at compile time. +Such strict environment is qualitatively supported by number of documentation fixes done upstream during the development stage of the project **ADD REFERENCES, +HERE to many fixes to numpy/scipy**. +Since Papyri is not fully-customisable, users who are already using documentation tools such as Sphinx, `mkdocs` **Not cited before in the context section, why not ?** and others should expect their project to require minor modifications to work with Papyri. -Regardless of configurability, we believe that a coherent experience where -documentation is uniform and in a single place should make users more -comfortable with finding information. -Simplicity, speed and independence -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +c) Accessibility and user proficiency +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -We wish to have relative independence of documentation building across -libraries. That is to say the system should be able to build documentation for a -single library, without the need to access documentation for another. +Accessiblity is a top priority of the project. To that aim, items are associated to semantic meaning as much as possible, and documentation rendering is separated from documentation building phase. That way, accessibility features such as high contract themes (for better speech-to-text raw data reading), early example highlights (for newcomers) and typed annotation (for advanced users) can be quickly available. With the uniform documentation structure, this provides a coherent experience where users become more comfortable to find information (and in a single location). -We do want documentation installation and rendering to be relatively -straightforward and fast. On large distributed system, we cannot afford to have -the installation speed to grow polynomially with the number of installed -packages. +d) Simplicity, speed, and independence +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -We do want the ability to have forward and backward links and references between -pages. +One objective of the project is to make documentation installation and rendering relatively straightforward and fast. To that aim, the project includes relative independence of documentation building across libraries, allowing crosslinks (as well as forward and backward links between pages) to be maintained more easily. In other words, a single library can be built without the need to access documentation from another. Also, the project should include straightforward lookup documentation for an object from the +interactive REPL. Finally, efforts are put to limit the installation speed (to avoid polynomial growth when installing packages on large distributed systems). Finally, -And we do want to ability to lookup documentation for an object from the -interactive REPL. .. Parallel with to Compiled languages .. ----------------------------------- From f3a2370fde6b9727c18226a0dccadfbec87223c3 Mon Sep 17 00:00:00 2001 From: Matthias Bussonnier Date: Wed, 18 May 2022 12:08:09 +0200 Subject: [PATCH 16/40] precision --- papers/bussonnier/papyri.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/papers/bussonnier/papyri.rst b/papers/bussonnier/papyri.rst index fec4d0e0c1..3243c3c16c 100644 --- a/papers/bussonnier/papyri.rst +++ b/papers/bussonnier/papyri.rst @@ -182,7 +182,7 @@ Accessiblity is a top priority of the project. To that aim, items are associated d) Simplicity, speed, and independence ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -One objective of the project is to make documentation installation and rendering relatively straightforward and fast. To that aim, the project includes relative independence of documentation building across libraries, allowing crosslinks (as well as forward and backward links between pages) to be maintained more easily. In other words, a single library can be built without the need to access documentation from another. Also, the project should include straightforward lookup documentation for an object from the +One objective of the project is to make documentation installation and rendering relatively straightforward and fast. To that aim, the project includes relative independence of documentation building across libraries, allowing bidirectional crosslinks (i.e. both forward and backward links between pages) to be maintained more easily. In other words, a single library can be built without the need to access documentation from another. Also, the project should include straightforward lookup documentation for an object from the interactive REPL. Finally, efforts are put to limit the installation speed (to avoid polynomial growth when installing packages on large distributed systems). Finally, From 7d80ba28630f07d569e8bc8658b32f946e02ad36 Mon Sep 17 00:00:00 2001 From: Matthias Bussonnier Date: Wed, 18 May 2022 15:08:07 +0200 Subject: [PATCH 17/40] table pblm --- papers/bussonnier/papyri.rst | 297 +++++++++++++++-------------------- 1 file changed, 125 insertions(+), 172 deletions(-) diff --git a/papers/bussonnier/papyri.rst b/papers/bussonnier/papyri.rst index 3243c3c16c..6395c1101d 100644 --- a/papers/bussonnier/papyri.rst +++ b/papers/bussonnier/papyri.rst @@ -158,7 +158,7 @@ Let us emphasize that the project is no way intended to replace or cover many fe Those projects are extremely flexible and fit the need of their users. The Papyri project addresses specific documentation challenges (mentioned above), we present below what is (and what is not) the scope of work. a) A generic (little customisable) website builder -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ When authors want or need complete control of the output and wide personalisation options, or branding, then Papyri is likely not the project to look @@ -177,7 +177,7 @@ Since Papyri is not fully-customisable, users who are already using documentatio c) Accessibility and user proficiency ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -Accessiblity is a top priority of the project. To that aim, items are associated to semantic meaning as much as possible, and documentation rendering is separated from documentation building phase. That way, accessibility features such as high contract themes (for better speech-to-text raw data reading), early example highlights (for newcomers) and typed annotation (for advanced users) can be quickly available. With the uniform documentation structure, this provides a coherent experience where users become more comfortable to find information (and in a single location). +Accessibility is a top priority of the project. To that aim, items are associated to semantic meaning as much as possible, and documentation rendering is separated from documentation building phase. That way, accessibility features such as high contract themes (for better speech-to-text raw data reading), early example highlights (for newcomers) and typed annotation (for advanced users) can be quickly available. With the uniform documentation structure, this provides a coherent experience where users become more comfortable to find information (and in a single location). d) Simplicity, speed, and independence ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ @@ -186,111 +186,6 @@ One objective of the project is to make documentation installation and rendering interactive REPL. Finally, efforts are put to limit the installation speed (to avoid polynomial growth when installing packages on large distributed systems). Finally, -.. Parallel with to Compiled languages -.. ----------------------------------- - -.. We will draw several comparison between documentation building and compiled -.. languages, plus borrow an adapt a couple of terms from the domain. Needed, what -.. is building the documentation bur going from a source-code meant for a machine -.. to a final output targeting the flesh and blood machine between the keyboard and -.. the chair. - -.. In particular we'll draw similarities with "ahead-of-time" [AOT]_, -.. "just-in-time" [JIT]_, "intermediate representation (IR)" [IR]_, link-time -.. optimization (LTO) [LTO]_, static vs dynamic linking. - -.. If you are familiar with these concept that might be a good parallel to keep in -.. mind in order to follow the reasoning and architecture, but is not necessary to -.. understand the concepts behind papyri. - -.. Current Tools and their limitations -.. ----------------------------------- - -.. It is difficult to speak about the scientific python ecosystem documentation -.. without making reference to docutils [docutils]_ and sphinx [sphinx]_ which are -.. virtually use by all the libraries in the scientific Python ecosystem. Both -.. these libraries are the cornerstone of publishing html documentation for Python. -.. While few alternative exists, most tools and services have some internal -.. knowledge of sphinx. Read the Docs [RTD]_ provide a specific sphinx theme -.. [RTD-theme]_ user can opt-in to, `Jupyter-book` is built on top of sphinx, and -.. MyST parser [MYST]_ which is made to allow markdown in documentation does targets -.. sphinx as a backend. - -.. All the above tools provides an "ahead of time" documentation compilation and -.. rendering, a step which is slow and computationally intensive. Each project -.. needs its specific plugins, extensions and configurations to properly build. It -.. is also often relatively difficult to build documentation for a single object (a -.. single function, module or class), making use of those tools for interactive -.. exploration difficult. While this "just-in-time" approach is attempted by -.. projects like `docrepr` that is integrated both in `Jupyter` and `Spyder`, the -.. above limitations means interactive documentation lacks inline plots, -.. crosslinks, indexing, search and many custom directives. - - -.. Some of the above limitation are inherent to the design of documentation build -.. tools that were designed to build documentation in isolation. While sphinx does -.. provide features like `intersphinx`, link resolutions are done at documentation -.. build time and are thus inherently unidirectional, and can easily get broken. -.. For example, let's considering `numpy` and `scipy` which are two extremely close -.. libraries, having proper cross-linked documentation requires at least five -.. steps: - -.. - build NumPy documentation - -.. - publish NumPy ``object.inv`` file. - -.. - build SciPy documentation using NumPy ``obj.inv`` file. - -.. - publish SciPy ``object.inv`` file - -.. - rebuild NumPy docs to make use of SciPy's ``obj.inv`` - -.. Only then can both SciPy's and NumPy's documentation refer to each other. - -.. Any of the created links being potentially invalidated on the publication of a -.. new version of any of those libraries, which is something that regularly happen -.. [#]_. - - -.. .. [#] `ipython/ipython#12210 `_, `numpy/numpy#21016 `_, `& #29073 `_ - - -.. This make using pre-produced html in IDEs and other tools difficult and error -.. prone. This has also raised security issue where some institution are reluctant -.. to use either tools like `docrepr` or viewing pre-produced html. - -.. Editing docstrings between a rock and a hard place -.. -------------------------------------------------- - -.. The numpydoc format is ubiquitous among the scientific ecosystem [NPDOC]_ , It -.. is loosely based on RST syntax, and despite supporting full rst syntax, -.. docstrings often rarely contain full-featured directive. As many tools show raw -.. docstrings and are incapable of interpreting directive on the fly, even if they -.. could or had the right plugin, this may be computationally intensive which is -.. undesirable, and executing code to view docs could be a security risk. -.. Maintainers are thus often pull in two opposite directions. - -.. - keeping the docstrings simple, mostly text based with few directive in order - to have readability to the end user that might be exposed to the docstring - when using tools like IPython and Jupyter. - -.. - Write an extensive docstring, with references, and directive that -.. potentially create graphics, tables and more, but impede readability. - -.. While tools like `docrepr` mitigate this problem, this is true only for IDE -.. users and not Terminal users that will still be exposed to raw docstrings. This -.. leads to long discussions, for example in `SymPy -.. `_ on how should equations be -.. represented in docstrings. - -.. Some libraries would also prefer to use markdown in their docstrings, but this -.. would create inconsistencies for the end user with respect to rendering, and -.. have the same dilemmas as above. - -.. Finally a few library will dynamically modify their docstring at runtime in -.. order to avoid using directives. This can have runtime cost, as well as a more -.. complex maintenance and contribution cost. - The Papyri solution ------------------- @@ -401,18 +296,31 @@ distribution of those files are not going to be covered in this paper. IRD Installation ---------------- +Unlike packages installation IRD bundles do not have the notion of dependencies, +thus a full-fledge package manager is not necessary, and installing can be +limited to downloading corresponding files and unpacking them. + +We'll note as well that IRD bundles for multiple versions of the same library, +or conflicting libraries is not inherently problematic, and can be shared across +multiple multiple environments. + +From a security standpoint, installing IRD bundles does not requires the +execution of arbitrary code. This is critical for adoption in deployments. +There is an opportunity at IRD installation time to provide localized variant, +but we have not explored much the opportunity of IRD bundle translations. + High level Usage ---------------- -The papyri lifecycle for documentation can roughly be decomposed into 3 broad -categories of stakeholders, and processes. +The papyri lifecycle for papyri-based documentation can roughly be decomposed +into 3 broad categories of stakeholders, and processes. The first stakeholders are library maintainers. Those should ensure that papyri can build Intermediate Representation Documentation (IRD) files. And publish -and IRD bundle. +an IRD bundle. Creation of IRD files and bundles is the computation intensive step, that may requires complex dependencies, or specific plugins. Creation of these files may @@ -420,19 +328,27 @@ be a multi-step process or use external tooling that is not related to papyri or does not use Python. Note that these steps do not requires the libraries maintainer to worry about visual appearance and rendering of documentation. +.. comment: + maybe move next paragrah somewehre else ? + +On our test machine (2021 Macbook Pro M1, base model), building scipy & numpy +documentatatio IRD files can take several minutes. This include executing +examples in most docstrings and type inferring most examples in order to +provide information about each variable. The second category of stakeholder are end-users. Those users are responsible -from installing IRD bundles from the libraries they wish to use on their -machines. Note that IRD from libraries that are not in use are installable as -well, and that IRD bundle not attached to a particular library could also be -installed, providing for example domain specific tutorials or examples. +from installing desired IRD bundles. In most case this will be IRD bundles from +already installed libraries. While papyri is not currently integrated with +package manager or IDEs, we could imagine this process being automatic, or on +demand. -The third category of stakeholder are IDE developers, who want to make sure -IRD files can be properly rendered and browsed by their users; potentially -taking into account user preferences, and providing added values with for -example indexing, searching, bookmarks. Such a category of stakeholder could -also be opinionated web hosting in a similar fashion to rustsdocs, devdocs.io +The third category of stakeholder are IDEs developers, who want to make sure +IRD files can be properly rendered and browsed by their users when requested; +potentially taking into account user preferences, and providing added +values with for example indexing, searching, bookmarks. Such a category of +stakeholder could also be opinionated web hosting in a similar fashion to +rustsdocs, devdocs.io Future possibilities @@ -444,11 +360,10 @@ Future possibilities - post deprecation - translation - Challenges ---------- -In order to be able to link to object documentation without having access the +In order to be able to link to object documentation without having access the build IRD bundles from all the library we need to come up with a schema that uniquely identify each object. For this we decided to use the fully qualified names of an object. That is to say the concatenation of the module in which it @@ -472,34 +387,47 @@ is defined, with its local name. We encountered multiple edge cases with that. end up having ``>`` in their fully qualified names, which is invalid. - Many builtins functions (``np.sin``, ``np.cos``, ...) do not have a fully - qualified name that can be extracted by object introspection. + qualified name that can be extracted by object introspection. We believe it + should be possible to identify those via other means (e.g. docstring hash) but + haven't explored those possibilities yet. + +- Fully qualified names are often not canonical names (the name that are + typically use for import), and finding the canonical name automatically is not + always straightforward. + +- There are also challenges with case sensitivity, in particular of + MacOS file systems, and a couple of object ends up referring to the same IRD file + on disk if proper care is not taken. We currently append a case-sensitive hash + at end of the filename to disambiguate. + +- Many libraries have syntax that _looks_ right once rendered to html, but does + not follow proper syntax, or relies on peculiarities of docutils and sphinx + rendering and parsing. -- Fully qualified names are often not canonical names (the name you typically - use for import), and finding the canonical name automatically is not always - straitforward. +- Many custom directive plugins cannot be reused from sphinx, and need to be + reimplemented. -We also came across challenges with case sensitivity, in particular of -filesystems, and a couple of object have same fully qualified name up to -difference in casing. Current implementation ----------------------- +====================== + +In this section we'll describe a few of the choices we've make for a our current +implementation. IRD file Generation -~~~~~~~~~~~~~~~~~~~ +------------------- -While the core idea around papyri resides in the IRD files and bundles, we can -come back on some of the decision we made with current implementation. +While the core idea around papyri resides in the IRD files and bundles, we +we made with current implementation. As a wide majority of the core Scientific python stack +uses sphinx, RST and Numpydoc, the current implementation only support those. +We do hope to extend it with MyST later, or provide it as a plugin. -The current implementation only support parsing RST and Numpydoc in docstrings. -While we hope to extend it with MyST later, or provide it as a plugin, this is -our main focus as a wide majority of the core Scientific python stack. We use Tree-Sitter, and tree-sitter-rst to parse RST syntax, in particular tree-sitter allow us to easily "unparse" an AST node when necessary as the ast nodes contains bytes offset to the original buffer. This was relatively -convenient to handle custom directive a number of edge cases where project +convenient to handle custom directive and number of edge cases where project relied on loose definition of the rst syntax. For example rst directive are of the form:: @@ -508,8 +436,9 @@ the form:: body While technically there is no space before the ``::``, docutils and sphinx allow -this, but it fails in tree-sitter with an error node. We can check error nodes, -un-parse, add heuristics to restore a proper syntax and parse the new node. +this, but it fails in tree-sitter with an error node. We check for error nodes, +un-parse, and add heuristics to restore a proper syntax and parse again to +obtain the new node. Alternatively a number of directive like ``warnings``, ``notes`` ``admonitions`` still contain valid RST. Instead of storing the directive with @@ -517,73 +446,94 @@ the raw text, we parse the full document (potentially finding invalid syntax), and unparse to the raw text only if the directive requires it. -Serialisation of datastructure into IRD files are currently using a custom -serialiser that we hope to swap for msgspec. The AST objects are completely +Serialisation of data structure into IRD files are currently using a custom +serialiser that we hope to swap for msgspec **ADD REF**. The AST objects are completely typed but contains a number of Unions and Sequences of Unions. We found out that many frameworks like ``pydantic`` do not support sequences of Unions where each item in the Union may be of a different type. - We currently try to type-infer all code examples with Jedi, and pre-syntax highlight using pygments when possible. IRD File Installation -~~~~~~~~~~~~~~~~~~~~~ +--------------------- Download and Installation of IRD files is done concurrently using ``httpx``, -with ``trio`` as an async framework. +with ``trio`` as an async framework. This let us download files concurrently. -The IRD files post-processed into a local custom format. Object informations are +As the current implementation of Papyri is targeted at Python documentation and +written in Python, we can query the existing version of Python libraries +installed, and infer the right version of the requested documentation. Our +implementation currently attempt to guess relevant libraries version when the +exact version number is missing from for the install command. + + +The IRD files are post-processed into a local custom format. Object informations are store in 3 different places: A local SQLite database, CBOR representation of each document, and raw storage on disk for assets and binary blobs. SQlite allows us to easily query graph informations at run time, just before -rendering, and is mostly optimised for infrequent read access. +rendering, and is mostly optimised for infrequent read access. While we still +mostly resolve some SQLite information at runtime, we are planning to move some +of this processing to installation time. For example, determining whether inter +libraries links exists. CBOR object for post-processed IRD files has been chosen to provide a more -compact representation than JSON which is highly redundant, while still -avoiding to use compression for fast access. - +compact representation than JSON which keys are often is highly redundant, while +still avoiding to use compression for fast access. Access to these resources is providing via an internal ``GraphStore`` API which -is agnostic of the backend, and ensure the consistency of operation like +is agnostic of the backend, and ensure the consistency of operations like adding/removing/replacing documents. Documentation Rendering -~~~~~~~~~~~~~~~~~~~~~~~ +----------------------- -We've prototypes a number of rendering engines, each of them basically consist -of fetching a single page and it's metadata, and walking the IRD AST tree, and -rendering each nodes with user preferences. +The current papyri implementation contains Wea number of rendering engines, each +of them mostly consist of fetching a single page, it's metadata, and +walking the IRD AST tree, and rendering each nodes with user preferences. - An ASCII terminal render using Jinja2. This can be useful to pipe - documentation to other tools like grep, less, cat. - -- A TUI browser using urwid. This lets you navigate in the terminal, reflow long - line on window resize, and can even open images files in external editors. We - encountered several bugs in urwid and are considering rewriting it using - Rich/Textual. - -- A Just-in-Time rendering engine using Jinja2/quart/trio ; Quart being an async - version of flask. This version is the one with the most features. + documentation to other tools like grep, less, cat. + This also helps us to work in a highly restricted environment, and make sure + reading the documentation is sensible; for example as a proxy to using a + screen reader. + +- A Textual User Interface browser using urwid. This lets you navigate in the + terminal, reflow long line on window resize, and can even open images files in + external editors. We encountered several bugs in urwid and are considering + rewriting it using Rich/Textual. Our project is for this renderer to replace + CLI IPython ``?`` interface which currently only shows raw docstrings. + +- A "Just-in-Time" rendering engine using Jinja2/quart/trio ; Quart being an async + version of flask. This version is the one with the most features, and is the + principal one we use for development. This environment let us iterate rapidly + over the rendering engine. - A static "Ahead of time", rendering of all the existing pages that can be rendered ahead of time, using the same class as the Just-in-time rendering that basically loops through all entries in the SQLite database and render - each. + each independently. We use this renderer mostly for exhaustive testing, and + measure performance. + With this renderer we can render most of the API documentation of IPython, + astropy, dask, distributed, matplotlib, networkx, numpy, pandas, papyri, scipy, + scikit-image. This represent ~28000 pages in ~60 seconds, so about 450 pages/sec on + a recent macbook pro M1. -Our profile show that documentation rendering is limited by object serialisation -and de serialisation from disk as well a Jinja2 templating engine. -We've played with writing a static html renderer in a compiled language (Rust, -using compiled, and typed checked templates), and managed to get about a factor -10 speedup, but this implementation is now out of syn with the main papyri -code base. +For all of the above renderer, our profiling shows that documentation rendering is +mostly limited by object de-serialisation from disk as well a Jinja2 +templating engine. We've played with writing a static html renderer in a +compiled language (Rust, using compiled, and typed checked templates), and +managed to get about a factor 10 speedup, but this implementation is now out of +sync with the main papyri code base. -Finally we've started implementing a JupyterLab extension that is capable of -basic IRD file browsing and rendering, using react and typescript. It has -limited capabilities, like ability to browse to previous pages. +Finally we've started implementing a JupyterLab extension that present itself as +a side-panel and is capable of basic browsing and rendering. Is uses typescript, +react and native JupyterLab component. Future plan is to replace and complement +JupyterLab's ``?`` and ``?`` operator as well as JupyterLab Inspector when +possible. .. figure:: scipy-dpss-old-new.png :align: center @@ -732,6 +682,9 @@ pulvinar id metus. .. As you can see in Figures :ref:`egfig` and :ref:`egfig2`, this is how you reference auto-numbered .. figures. .. + + + .. table:: This is the caption for the materials table. :label:`mtable` +------------+----------------+ From 6381f1089ef43e59b7153478e09c584f805a5128 Mon Sep 17 00:00:00 2001 From: Matthias Bussonnier Date: Wed, 18 May 2022 16:03:26 +0200 Subject: [PATCH 18/40] more updates --- papers/bussonnier/papyri.rst | 327 ++++++++++++----------------------- 1 file changed, 106 insertions(+), 221 deletions(-) diff --git a/papers/bussonnier/papyri.rst b/papers/bussonnier/papyri.rst index 6395c1101d..7237febc50 100644 --- a/papers/bussonnier/papyri.rst +++ b/papers/bussonnier/papyri.rst @@ -147,7 +147,15 @@ docstrings rarely contain full-featured directive. Maintainers confronted to the Other factors impact this choice: (i) users, (ii) format, (iii) runtime. IDE users or non-Terminal users motivate to push for extensive docstrings, and tools like `Docrepr` can mitigate this problem. However, users are often exposed to raw docstrings (see for example the discussion `SymPy `_ on how should equations be -represented in docstrings). In terms of format, markdown is appealing, however inconsistencies in the rendering will be created between libraries. Finally, some libraries can dynamically modify their docstring at runtime. While this avoids using directives, it ends up being more expensive (runtime costs, complex maintenance, and contribution costs). +represented in docstrings), and :ref:`Fig1`. In terms of format, markdown is appealing, however inconsistencies in the rendering will be created between libraries. Finally, some libraries can dynamically modify their docstring at runtime. While this avoids using directives, it ends up being more expensive (runtime costs, complex maintenance, and contribution costs). + +.. :align: center +.. :figclass: w +.. figure:: scipy-dpss-old-new.png + + The following screenshot shows current help for ``scipy.signal.dpss`` as + currently accessible on the left, as shown by the papyri for jupyterlab + extension on the right. :label:`Fig1` 3) Objectives of the project @@ -351,63 +359,6 @@ stakeholder could also be opinionated web hosting in a similar fashion to rustsdocs, devdocs.io -Future possibilities --------------------- - -- Removal of dynamic docstrings, -- Markdown -- Static website, -- post deprecation -- translation - -Challenges ----------- - -In order to be able to link to object documentation without having access -the build IRD bundles from all the library we need to come up with a schema that -uniquely identify each object. For this we decided to use the fully qualified -names of an object. That is to say the concatenation of the module in which it -is defined, with its local name. We encountered multiple edge cases with that. - -- To mirror python syntax is it easy to use ``.`` to concatenate both parts. - Unfortunately that leads to ambiguity when modules re-export functions of - the same name. - - .. code-block:: python - - # module mylib/__init__.py - - from .mything import mything - - ``mylib.mything`` is ambiguous with respect to the ``mything`` submodule and - the object reexported. In future version we'll use ``:`` as a module/name - separator. - -- Decorated functions or other dynamic approaches to expose function to users - end up having ``>`` in their fully qualified names, which is invalid. - -- Many builtins functions (``np.sin``, ``np.cos``, ...) do not have a fully - qualified name that can be extracted by object introspection. We believe it - should be possible to identify those via other means (e.g. docstring hash) but - haven't explored those possibilities yet. - -- Fully qualified names are often not canonical names (the name that are - typically use for import), and finding the canonical name automatically is not - always straightforward. - -- There are also challenges with case sensitivity, in particular of - MacOS file systems, and a couple of object ends up referring to the same IRD file - on disk if proper care is not taken. We currently append a case-sensitive hash - at end of the filename to disambiguate. - -- Many libraries have syntax that _looks_ right once rendered to html, but does - not follow proper syntax, or relies on peculiarities of docutils and sphinx - rendering and parsing. - -- Many custom directive plugins cannot be reused from sphinx, and need to be - reimplemented. - - Current implementation ====================== @@ -533,21 +484,17 @@ Finally we've started implementing a JupyterLab extension that present itself as a side-panel and is capable of basic browsing and rendering. Is uses typescript, react and native JupyterLab component. Future plan is to replace and complement JupyterLab's ``?`` and ``?`` operator as well as JupyterLab Inspector when -possible. +possible. A screen shot of current development version of the JupyterLab +extension can be seen in :ref:`Fig1` and :ref:`Fig2`. -.. figure:: scipy-dpss-old-new.png - :align: center - :figclass: w - - The following screenshot shows current help for ``scipy.signal.dpss`` as - currently accessible on the left, as shown by the papyri for jupyterlab - extension on the right. .. figure:: jupyterlab-prototype.png + :scale: 80% + Zoomed out view of the papyri for jupyterlab extension, we can see that the code examples include plots. Most token in each examples are link to the - corresponding page. Early navigatin bar visible at the top. + corresponding page. Early navigatin bar visible at the top. :label:`Fig2` .. figure:: local-graph.png @@ -560,9 +507,100 @@ possible. +Challenges +---------- + +In order to be able to link to object documentation without having access +the build IRD bundles from all the library we need to come up with a schema that +uniquely identify each object. For this we decided to use the fully qualified +names of an object. That is to say the concatenation of the module in which it +is defined, with its local name. We encountered multiple edge cases with that. + +- To mirror python syntax is it easy to use ``.`` to concatenate both parts. + Unfortunately that leads to ambiguity when modules re-export functions of + the same name. + + .. code-block:: python + + # module mylib/__init__.py + + from .mything import mything + + ``mylib.mything`` is ambiguous with respect to the ``mything`` submodule and + the object reexported. In future version we'll use ``:`` as a module/name + separator. + +- Decorated functions or other dynamic approaches to expose function to users + end up having ``>`` in their fully qualified names, which is invalid. + +- Many builtins functions (``np.sin``, ``np.cos``, ...) do not have a fully + qualified name that can be extracted by object introspection. We believe it + should be possible to identify those via other means (e.g. docstring hash) but + haven't explored those possibilities yet. + +- Fully qualified names are often not canonical names (the name that are + typically use for import), and finding the canonical name automatically is not + always straightforward. +- There are also challenges with case sensitivity, in particular of + MacOS file systems, and a couple of object ends up referring to the same IRD file + on disk if proper care is not taken. We currently append a case-sensitive hash + at end of the filename to disambiguate. +- Many libraries have syntax that _looks_ right once rendered to html, but does + not follow proper syntax, or relies on peculiarities of docutils and sphinx + rendering and parsing. +- Many custom directive plugins cannot be reused from sphinx, and need to be + reimplemented. + + + +Future possibilities +-------------------- + +Beyond what has been presented in this paper, there is a number of opportunities +to improved and extend on what papyri can allow for the Scientific Python +ecosystem. + +One of the area we have not talked about is the ability to build IRD bundle on +Continuous Integration platform. Services like GitHub action, Azure pipeline and +many other are already setup to test packages. We hope to leverage this +infrastructure to build IRD file and make them available to users. + +Hosting of intermediate IRD file has also not been covered, while we currently +have a prototype of http index using GitHub pages, it is likely not a +sustainable hosting platform as disk space is limited. IRD being in our +experience smaller than HTML documentation, we hope that other platform like +readthedoc can be leveraged. A platform like readthedocs could also provide a +single domain that renders the documentation for multiple libraries, thus +avoiding having many sub domains for each library and giving a more unified +experience to users. + +It should be possible for projects to avoid using many dynamic docstrings +interpolation that are use to documents ``*args`` and ``**kwargs``. This would +make sources easier to read, and potentially speedup some library import time. + +Once a given library is confident enough of its users use an IDE that support +papyri for documentation, docstring syntax could be exchanged for markdown. + + +As IRD files are structured, it should be feasible to provide cross-version +information in documentation. For example, if one installs multiple version of +IRD bundle for a library. Assuming the user does not use the latest version, +the renderer could inspect IRD file from previous/future versions to indicate +the range of version for which the documentation has not changed. +With a bit more work, it should be possible to infer *when* a parameter was +removed, or will be removed, or simply allow to display the difference between +two versions. + + + + + +- post deprecation +- translation + - automatic gallery. Misc ---- @@ -572,6 +610,7 @@ Not a novel idea, allow to mix compilation from multiple targets, LTO. Diataxis rustdocs. https://markdoc.io/ +USE CI to build documentatino @@ -609,160 +648,6 @@ https://markdoc.io/ - -some maths, for example :math:`e^{\pi i} + 3 \delta`. Or maybe an -equation on a separate line: - -.. math:: - - g(x) = \int_0^\infty f(x) dx - -or on multiple, aligned lines: - -.. math:: - :type: eqnarray - - g(x) &=& \int_0^\infty f(x) dx \\ - &=& \ldots - -The area of a circle and volume of a sphere are given as - -.. math:: - :label: circarea - - A(r) = \pi r^2. - -.. math:: - :label: spherevol - - V(r) = \frac{4}{3} \pi r^3 - -We can then refer back to Equation (:ref:`circarea`) or -(:ref:`spherevol`) later. - -Mauris purus enim, volutpat non dapibus et, gravida sit amet sapien. In at -consectetur lacus. Praesent orci nulla, blandit eu egestas nec, facilisis vel -lacus. Fusce non ante vitae justo faucibus facilisis. Nam venenatis lacinia -turpis. Donec eu ultrices mauris. Ut pulvinar viverra rhoncus. Vivamus -adipiscing faucibus ligula, in porta orci vehicula in. Suspendisse quis augue -arcu, sit amet accumsan diam. Vestibulum lacinia luctus dui. Aliquam odio arcu, -faucibus non laoreet ac, condimentum eu quam. Quisque et nunc non diam -consequat iaculis ut quis leo. Integer suscipit accumsan ligula. Sed nec eros a -orci aliquam dictum sed ac felis. Suspendisse sit amet dui ut ligula iaculis -sollicitudin vel id velit. Pellentesque hendrerit sapien ac ante facilisis -lacinia. Nunc sit amet sem sem. In tellus metus, elementum vitae tincidunt ac, -volutpat sit amet mauris. Maecenas [#]_ diam turpis, placerat [#]_ at adipiscing ac, -pulvinar id metus. - -.. [#] On the one hand, a footnote. -.. [#] On the other hand, another footnote. - -.. .. figure:: figure1.png -.. -.. This is the caption.:code:`chunk of code` inside of it. :label:`egfig` -.. -.. .. figure:: figure1.png -.. :align: center -.. :figclass: w -.. -.. This is a wide figure, specified by adding "w" to the figclass. It is also -.. center aligned, by setting the align keyword (can be left, right or center). -.. This caption also has :code:`chunk of code`. -.. -.. .. figure:: figure1.png -.. :scale: 20% -.. :figclass: bht -.. -.. This is the caption on a smaller figure that will be placed by default at the -.. bottom of the page, and failing that it will be placed inline or at the top. -.. Note that for now, scale is relative to a completely arbitrary original -.. reference size which might be the original size of your image - you probably -.. have to play with it. :label:`egfig2` -.. -.. As you can see in Figures :ref:`egfig` and :ref:`egfig2`, this is how you reference auto-numbered -.. figures. -.. - - - -.. table:: This is the caption for the materials table. :label:`mtable` - - +------------+----------------+ - | Material | Units | - +============+================+ - | Stone | 3 | - +------------+----------------+ - | Water | 12 | - +------------+----------------+ - | Cement | :math:`\alpha` | - +------------+----------------+ - - -We show the different quantities of materials required in Table -:ref:`mtable`. - - -.. The statement below shows how to adjust the width of a table. - -.. raw:: latex - - \setlength{\tablewidth}{0.8\linewidth} - - -.. table:: This is the caption for the wide table. - :class: w - - +--------+----+------+------+------+------+--------+ - | This | is | a | very | very | wide | table | - +--------+----+------+------+------+------+--------+ - -Unfortunately, restructuredtext can be picky about tables, so if it simply -won't work try raw LaTeX: - - -.. raw:: latex - - \begin{table*} - - \begin{longtable*}{|l|r|r|r|} - \hline - \multirow{2}{*}{Projection} & \multicolumn{3}{c|}{Area in square miles}\tabularnewline - \cline{2-4} - & Large Horizontal Area & Large Vertical Area & Smaller Square Area\tabularnewline - \hline - Albers Equal Area & 7,498.7 & 10,847.3 & 35.8\tabularnewline - \hline - Web Mercator & 13,410.0 & 18,271.4 & 63.0\tabularnewline - \hline - Difference & 5,911.3 & 7,424.1 & 27.2\tabularnewline - \hline - Percent Difference & 44\% & 41\% & 43\%\tabularnewline - \hline - \end{longtable*} - - \caption{Area Comparisons \DUrole{label}{quanitities-table}} - - \end{table*} - -Perhaps we want to end off with a quote by Lao Tse [#]_: - - *Muddy water, let stand, becomes clear.* - -.. [#] :math:`\mathrm{e^{-i\pi}}` - -.. Customised LaTeX packages -.. ------------------------- - -.. Please avoid using this feature, unless agreed upon with the -.. proceedings editors. - -.. :: - -.. .. latex:: -.. :usepackage: somepackage - -.. Some custom LaTeX source here. - References ---------- From d782e16522e932e7d303d3ca30baa0a39efe25b1 Mon Sep 17 00:00:00 2001 From: Matthias Bussonnier Date: Wed, 18 May 2022 16:05:49 +0200 Subject: [PATCH 19/40] more updates --- papers/bussonnier/papyri.rst | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/papers/bussonnier/papyri.rst b/papers/bussonnier/papyri.rst index 7237febc50..8df4162428 100644 --- a/papers/bussonnier/papyri.rst +++ b/papers/bussonnier/papyri.rst @@ -4,6 +4,11 @@ :institution: Digital Ours Lab, SARL. :orcid: 0000-0002-7636-8632 :corresponding: +:author: Camille Carvalho +:email: +:institution: University of California Merced: Merced, CA, US +:institution: Groupe INSA: Villeurbanne, FR +:orcid: 0000-0002-8426-549X ==================================================================== Papyri: Better documentation for the Scientific Ecosystem in Jupyter From c70fe0010408fb71c617e17431aaffe97af26c5f Mon Sep 17 00:00:00 2001 From: Camille Carvalho Date: Sun, 22 May 2022 17:30:42 +0200 Subject: [PATCH 20/40] edits papyri solution part --- papers/bussonnier/papyri.rst | 160 +++++++++++++---------------------- 1 file changed, 57 insertions(+), 103 deletions(-) diff --git a/papers/bussonnier/papyri.rst b/papers/bussonnier/papyri.rst index 8df4162428..1fa82eeb14 100644 --- a/papers/bussonnier/papyri.rst +++ b/papers/bussonnier/papyri.rst @@ -6,8 +6,8 @@ :corresponding: :author: Camille Carvalho :email: -:institution: University of California Merced: Merced, CA, US -:institution: Groupe INSA: Villeurbanne, FR +:institution: University of California Merced, Merced, CA, USA +:institution: Univ Lyon, INSA Lyon, UJM, UCBL, ECL, CNRS UMR 5208, ICJ, F-69621, France :orcid: 0000-0002-8426-549X ==================================================================== @@ -67,7 +67,7 @@ libraries source on code platforms, continuous integration, and many other tools is ubiquitous, we believe a better documentation framework for many of the libraries of the scientific Python should be available. -Thus, against all advice we received and our own experience, we have decided to +Thus, against all advice we received and based on our own experience, we have decided to rebuild an *opinionated* documentation framework, from scratch, and with minimal dependencies: *Papyri*. Papyri focuses on building an intermediate documentation representation format, that lets us decouple building, and @@ -85,8 +85,8 @@ end this paper with comments on current challenges and future work. Through out the paper, we will draw several comparisons between documentation building and compiled languages. Also, we will borrow and adapt commonly used -terminology. In particular, similarities with "ahead-of-time (AOT)" [AOT]_, -"just-in-time (JIT)" [JIT]_, "intermediate representation (IR)" [IR]_, link-time +terminology. In particular, similarities with "ahead-of-time" (AOT) [AOT]_, +"just-in-time"" (JIT) [JIT]_, intermediate representation (IR) [IR]_, link-time optimization (LTO) [LTO]_, static vs dynamic linking will be highlighted. This allows to clarify the presentation of the underlying architecture, however there is no requirement to be familiar with the above to understand the concepts @@ -103,14 +103,14 @@ for Python, and are used by all the libraries in this ecosystem. While a few alternatives exist, most tools and services have some internal knowledge of Sphinx. For instance, `Read the Docs` [RTD]_ provides a specific Sphinx theme [RTD-theme]_ users can opt-in to, `Jupyter-book` is built on top of Sphinx, and -MyST parser [MYST]_ which is made to allow markdown in documentation does +MyST parser [MYST]_ (which is made to allow markdown in documentation) targets Sphinx as a backend, to name a few. All of the above provide an "ahead-of-time" documentation compilation and rendering, which is slow and computationally intensive. When a project needs its specific plugins, extensions and configurations to properly build (which is almost always the case), it is relatively difficult to build documentation for a single object (like a single -function, module or class). This makes (AOT) tools difficult to use for -interactive exploration. One can then consider a "just-in-time" approach, as done +function, module or class). This makes AOT tools difficult to use for +interactive exploration. One can then consider a JIT approach, as done for `Docrepr` (integrated both in `Jupyter` and `Spyder`). However in that case, interactive documentation lacks inline plots, crosslinks, indexing, search and many custom directives. @@ -159,7 +159,7 @@ represented in docstrings), and :ref:`Fig1`. In terms of format, markdown is app .. figure:: scipy-dpss-old-new.png The following screenshot shows current help for ``scipy.signal.dpss`` as - currently accessible on the left, as shown by the papyri for jupyterlab + currently accessible on the left, as shown by Papyri for Jupyterlab extension on the right. :label:`Fig1` @@ -167,7 +167,7 @@ represented in docstrings), and :ref:`Fig1`. In terms of format, markdown is app ---------------------------- We now layout the objectives of the Papyri documentation framework. -Let us emphasize that the project is no way intended to replace or cover many features included in well established documentation tools such as Sphinx or Jupyter-book. +Let us emphasize that the project is in no way intended to replace or cover many features included in well established documentation tools such as Sphinx or Jupyter-book. Those projects are extremely flexible and fit the need of their users. The Papyri project addresses specific documentation challenges (mentioned above), we present below what is (and what is not) the scope of work. a) A generic (little customisable) website builder @@ -190,124 +190,78 @@ Since Papyri is not fully-customisable, users who are already using documentatio c) Accessibility and user proficiency ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -Accessibility is a top priority of the project. To that aim, items are associated to semantic meaning as much as possible, and documentation rendering is separated from documentation building phase. That way, accessibility features such as high contract themes (for better speech-to-text raw data reading), early example highlights (for newcomers) and typed annotation (for advanced users) can be quickly available. With the uniform documentation structure, this provides a coherent experience where users become more comfortable to find information (and in a single location). +Accessibility is a top priority of the project. To that aim, items are associated to semantic meaning as much as possible, and documentation rendering is separated from documentation building phase. That way, accessibility features such as high contract themes (for better speech-to-text raw data reading), early example highlights (for newcomers) and type annotation (for advanced users) can be quickly available. With the uniform documentation structure, this provides a coherent experience where users become more comfortable to find information (and in a single location) (see Figure 1). d) Simplicity, speed, and independence ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ One objective of the project is to make documentation installation and rendering relatively straightforward and fast. To that aim, the project includes relative independence of documentation building across libraries, allowing bidirectional crosslinks (i.e. both forward and backward links between pages) to be maintained more easily. In other words, a single library can be built without the need to access documentation from another. Also, the project should include straightforward lookup documentation for an object from the -interactive REPL. Finally, efforts are put to limit the installation speed (to avoid polynomial growth when installing packages on large distributed systems). Finally, +interactive REPL. Finally, efforts are put to limit the installation speed (to avoid polynomial growth when installing packages on large distributed systems). +**TO MB: should IRD be introduced in this section then ??** -The Papyri solution -------------------- - -Here we present the solution we came up that we believe solve most of the -problems we highlighted above, and then describe the current state of our -implementations. - -Making documentation multi-step -------------------------------- - -We first recognised that many of the customisation made by maintainers when -building documentation with sphinx and similar tools fall in two categories: - -- simpler input convenience. -- modification of final rendering. - - -Wether you customise the ``.. code-block:`` directive to execute or reformat -your entries, or create a ``:rc:`` role to link to configuration parameters, a -large number of custom directive and plug-in only purpose make it easier to -create references, or make sure the content is auto generated to avoid -documentation becoming out of sync with libraries source code. This first -category often require arbitrary code execution and must import the library you -are currently building the documentation for. - - -The second category of plugins attempt to improve the documentation final -rendering in order to be more user friendly. For example `sphinx-copybutton` add -a button to easily copy code snippets in a single click, `pydata-sphinx-theme` -provide a different appearance. - -We'll note that this second category many of the improvement can fall into user -preferences (`sphinx-rtd-dark-mode`), and developers end up making choices on -behalf of their end users: - -- which syntax highlight to use ? -- should I show type annotations ? -- do I provide a light or dark theme ? +2) The Papyri solution +====================== +In this section we describe in more details how Papyri has been implemented to address the objectives mentioned above. -We have often wished to modify the second category of extension and re-render -documentation without having to go through the long and slow process of -rebuilding and executing everything. +1) Making documentation multi-step process +------------------------------------------ -Thus our first choice was to have strict boundary between the two types of -plugins. The building or "generate" step of papyri that collect documentation -informations has no knowledge and no configuration options that permit to modify -the final appearance of the final documentation. +When building documentation, one can either customise the ``.. code-block:`` directive to execute/reformat entries, or create a ``:rc:`` role to link to configure parameters, several custom directives and plug-ins to simplify the rendering (including creating references, auto-genering documentation) +and sync with libraries source code. Customisation made by documentation maintainers then usually falls into the following two categories: +- simpler input convenience, +- modification of final rendering. -The optional rendering process also have no knowledge of the building step, and -can be run without access to the libraries we are rendering documentation for. +This first category often requires arbitrary code execution and must import the library currently being built. The second one offers a more user friendly environment (but requires to implement user preferences). For example, `sphinx-copybutton` adds a button to easily copy code snippets in a single click, and `pydata-sphinx-theme` and `sphinx-rtd-dark-mode` provide a different appearance. As a consequence, developers must make choices on +behalf of their end-users: this may concern syntax highlights, type annotations display, light/dark theme. -This a powerful separation of concern, that will give a number of advantages and -will allow us to achieve many features that are currently relatively hard with -current systems. This is not a new technique if we refer to the field of -compiler, where we can reason independently about each compilation units . +Being able to modify extensions and re-render the +documentation without the rebuilding and executing stage is quite appealing. Thus, the building phase in Papyri (collecting documentation +information) is separated from the rendering phase (Objective (c)): at this step, Papyri has no knowledge and no configuration options that permit to modify the final appearance of the final documentation. Additionally, the optional rendering process has no knowledge of the building step, and +can be run without accessing the libraries involved. -Standard IRD format -------------------- +This technique is commonly used in the field of compilers **add ref**, but to our knowledge, it has not been implemented for documentation in the Python ecosystem. As mentioned before, this separation is key to achieve many features proposed in Objectives (c), (d). -While we are still in search of a better name, most of the success of papyri -relies on the definition of standard interchangeable Intermediate -Representation for Documentation format (IRD). We borrow the name IR again from -compilers. +2) Standard IRD format +---------------------- + +Papyri relies on standard interchangeable "Intermediate +Representation for Documentation format" (IRD). +.. We borrow the name IR again from compilers. -This allow to separate concerns between M producers and N renderer, and reduce a -M*N problem where each renderer need to be able to be able to consume input from -each producer, to an N+M, where each producer should only care about producing -IRD, and each renderer consume it. +This allows to reduce operation complexity of the documentation build. For example, given M documentation producers and N renderers, the current documentation build is O(MN). If each producer only cares about producing IRD, and if each renderer only consumes it, then one can reduce to O(M+N). +Additionally, one can take IRD from multiple producers at once, and render them all to a single target, breaking the silos between libraries. -This also allows us to take IRD from multiple producer are once, and render it -together to a single target, this breaking the silos between libraries. - -As of the writing of this paper, IRD files are currently separated into multiple -categories. +At the moment, IRD files are currently separated into four main categories:**provide a sketch or example with all ??** - API files describe the documentation for a single object, expressed as a - Json object. When possible the informations are encoded semantically. + Json object. When possible, the information is encoded semantically (Objective (c)). Files are organized based on the fully-qualified name of the Python object they reference, and contain either absolute reference to another object (library, version and identifier), or delayed references to objects that may - exists in another library. Some extra per-object meta information like - file/line number of definition can be stored as well. -- Narrative files are similar to API file, except with the notion they do not - represent a given object, but posses a previous/next page, and are organised + exist in another library. Some extra per-object meta information like + file/line number of definitions can be stored as well. +- Narrative files are similar to API files, except that they do not + represent a given object, but posess a previous/next page, and are organised in an ordered tree related to the table of content. -- Examples files are non-ordered collection of files. -- Assets are untouched binary blobs that can be references by any of the above - three categories, and are the only category that only have backward - references, and no forward references. - -In addition to those 4 kinds of objects, metadata about the current package is -stored: library name, current version, pypi name, GitHub slug, maintainers names, -logo, issue tracker and a few other. Allowing us to for example auto generate -link to issue tracker, or to source files when rendering. +- Examples files are a non-ordered collection of files. +- Assets files are untouched binary blobs **find better word** that can be referenced by any of the above + three ones. They are the only ones that contain backward references, and no forward references. -We also store a mapping from fully qualified names to canonical names, in order -to properly resolve some references, of normalise links. +In addition to the four categories above, metadata about the current package is +stored: this includes library name, current version, PyPi name, GitHub slug **real term?**, maintainers' names, +logo, issue tracker and others. In particular, metadata allows us to auto generate +links to issue trackers, and to source files when rendering. +In order to properly resolve some references and normalize links convention, we also store a mapping from fully qualified names to canonical ones. -The final specification of the IRD file is unfinished, we thus invite you to -consult the current state on the GitHub repository. +IRD files must be standardized in order to achieve a uniform syntax structure (Objective (b)), In this paper, we do not discuss the IRD files distribution. The final specification IRD files is still in progress. We thus invite contributors to +consult the current state on the GitHub repository **add ref to the repo**. -Those IRD files must be standardise in order to achieve our end goal, and -distribution of those files are not going to be covered in this paper. - -IRD Installation ----------------- +3) IRD Installation +------------------- Unlike packages installation IRD bundles do not have the notion of dependencies, thus a full-fledge package manager is not necessary, and installing can be @@ -513,7 +467,7 @@ extension can be seen in :ref:`Fig1` and :ref:`Fig2`. Challenges ----------- +========== In order to be able to link to object documentation without having access the build IRD bundles from all the library we need to come up with a schema that @@ -562,7 +516,7 @@ is defined, with its local name. We encountered multiple edge cases with that. Future possibilities --------------------- +==================== Beyond what has been presented in this paper, there is a number of opportunities to improved and extend on what papyri can allow for the Scientific Python From d89f0d5b97ab30c99e61cfb2af0d985a5fc3d2df Mon Sep 17 00:00:00 2001 From: Camille Carvalho Date: Sun, 22 May 2022 18:40:31 +0200 Subject: [PATCH 21/40] new edits on IRD files --- papers/bussonnier/papyri.rst | 76 +++++++++++++++--------------------- 1 file changed, 32 insertions(+), 44 deletions(-) diff --git a/papers/bussonnier/papyri.rst b/papers/bussonnier/papyri.rst index 1fa82eeb14..24b8254321 100644 --- a/papers/bussonnier/papyri.rst +++ b/papers/bussonnier/papyri.rst @@ -206,8 +206,8 @@ interactive REPL. Finally, efforts are put to limit the installation speed (to a In this section we describe in more details how Papyri has been implemented to address the objectives mentioned above. -1) Making documentation multi-step process ------------------------------------------- +1) Making documentation a multi-step process +-------------------------------------------- When building documentation, one can either customise the ``.. code-block:`` directive to execute/reformat entries, or create a ``:rc:`` role to link to configure parameters, several custom directives and plug-ins to simplify the rendering (including creating references, auto-genering documentation) and sync with libraries source code. Customisation made by documentation maintainers then usually falls into the following two categories: @@ -224,14 +224,15 @@ can be run without accessing the libraries involved. This technique is commonly used in the field of compilers **add ref**, but to our knowledge, it has not been implemented for documentation in the Python ecosystem. As mentioned before, this separation is key to achieve many features proposed in Objectives (c), (d). -2) Standard IRD format ----------------------- - -Papyri relies on standard interchangeable "Intermediate -Representation for Documentation format" (IRD). +2) Intermediate Representation for Documentation (IRD) +------------------------------------------------------ + +IRD format +~~~~~~~~~~ .. We borrow the name IR again from compilers. -This allows to reduce operation complexity of the documentation build. For example, given M documentation producers and N renderers, the current documentation build is O(MN). If each producer only cares about producing IRD, and if each renderer only consumes it, then one can reduce to O(M+N). +Papyri relies on standard interchangeable "Intermediate +Representation for Documentation format" (IRD). This allows to reduce operation complexity of the documentation build. For example, given M documentation producers and N renderers, the current documentation build is O(MN). If each producer only cares about producing IRD, and if each renderer only consumes it, then one can reduce to O(M+N). Additionally, one can take IRD from multiple producers at once, and render them all to a single target, breaking the silos between libraries. At the moment, IRD files are currently separated into four main categories:**provide a sketch or example with all ??** @@ -259,64 +260,51 @@ In order to properly resolve some references and normalize links convention, we IRD files must be standardized in order to achieve a uniform syntax structure (Objective (b)), In this paper, we do not discuss the IRD files distribution. The final specification IRD files is still in progress. We thus invite contributors to consult the current state on the GitHub repository **add ref to the repo**. - -3) IRD Installation -------------------- +IRD bundles +~~~~~~~~~~~ +**Why is it important to talk about IRD bundles ? to clarify ? Having a difficult time to edit this subsection** Unlike packages installation IRD bundles do not have the notion of dependencies, thus a full-fledge package manager is not necessary, and installing can be limited to downloading corresponding files and unpacking them. -We'll note as well that IRD bundles for multiple versions of the same library, -or conflicting libraries is not inherently problematic, and can be shared across +IRD bundles for multiple versions of the same library (or conflicting libraries) is not inherently problematic, and can be shared across multiple multiple environments. -From a security standpoint, installing IRD bundles does not requires the +From a security standpoint, installing IRD bundles does not require the execution of arbitrary code. This is critical for adoption in deployments. - There is an opportunity at IRD installation time to provide localized variant, but we have not explored much the opportunity of IRD bundle translations. -High level Usage ----------------- +IRD and high level usage +~~~~~~~~~~~~~~~~~~~~~~~~ -The papyri lifecycle for papyri-based documentation can roughly be decomposed -into 3 broad categories of stakeholders, and processes. +Papyri-based documentation involves three broad categories of stakeholders (library maintainers, end-users, IDE developers), and processes. This leads to certain requirements on IRD files and bundles. -The first stakeholders are library maintainers. Those should ensure that papyri -can build Intermediate Representation Documentation (IRD) files. And publish -an IRD bundle. +On the maintainers' side, the goal is to ensure that Papyri can build IRD files, and publish IRD bundles. -Creation of IRD files and bundles is the computation intensive step, that may -requires complex dependencies, or specific plugins. Creation of these files may -be a multi-step process or use external tooling that is not related to papyri or -does not use Python. Note that these steps do not requires the libraries -maintainer to worry about visual appearance and rendering of documentation. +Creation of IRD files and bundles is the most computational intensive step. It may +require complex dependencies, or specific plugins. Thus, this can be a multi-step process, or one can use external tooling (not related to Papyri nor +uses Python) to create them. Visual appearance and rendering of documentation is not taken into account in this process. .. comment: maybe move next paragrah somewehre else ? + +End-users are responsible from installing desired IRD bundles. In most cases, it will consist of IRD bundles from +already installed libraries. While Papyri is not currently integrated with +packages manager or IDEs, one could imagine this process being automatic, or on demand. -On our test machine (2021 Macbook Pro M1, base model), building scipy & numpy -documentatatio IRD files can take several minutes. This include executing -examples in most docstrings and type inferring most examples in order to -provide information about each variable. - -The second category of stakeholder are end-users. Those users are responsible -from installing desired IRD bundles. In most case this will be IRD bundles from -already installed libraries. While papyri is not currently integrated with -package manager or IDEs, we could imagine this process being automatic, or on -demand. - +Finally, IDEs developers want to make sure +IRD files can be properly rendered and browsed by their users when requested. This may +potentially take into account users' preferences, and may provide added +values such as indexing, searching, bookmarks, etc.), as seen in rustsdocs, devdocs.io. -The third category of stakeholder are IDEs developers, who want to make sure -IRD files can be properly rendered and browsed by their users when requested; -potentially taking into account user preferences, and providing added -values with for example indexing, searching, bookmarks. Such a category of -stakeholder could also be opinionated web hosting in a similar fashion to -rustsdocs, devdocs.io +Overall, building cost depends on the three stakeholders. For example, building SciPy & NumPy +documentation IRD files on a 2021 Macbook Pro M1 (base model), including executing +examples in most docstrings and type inferring most examples (with most variables semanticly inferred) can take several minutes. **Is that good ? Comparison with other docs building ?Can we make a comment on this ? ** Current implementation From de05236db7cd0a16f51589a7b9fcb104abba9ea2 Mon Sep 17 00:00:00 2001 From: Matthias Bussonnier Date: Tue, 24 May 2022 09:51:48 +0200 Subject: [PATCH 22/40] syntax --- papers/bussonnier/papyri.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/papers/bussonnier/papyri.rst b/papers/bussonnier/papyri.rst index 24b8254321..ba10a3e065 100644 --- a/papers/bussonnier/papyri.rst +++ b/papers/bussonnier/papyri.rst @@ -304,7 +304,7 @@ values such as indexing, searching, bookmarks, etc.), as seen in rustsdocs, devd Overall, building cost depends on the three stakeholders. For example, building SciPy & NumPy documentation IRD files on a 2021 Macbook Pro M1 (base model), including executing -examples in most docstrings and type inferring most examples (with most variables semanticly inferred) can take several minutes. **Is that good ? Comparison with other docs building ?Can we make a comment on this ? ** +examples in most docstrings and type inferring most examples (with most variables semanticly inferred) can take several minutes. **Is that good ? Comparison with other docs building ?Can we make a comment on this ?** Current implementation From af09e31ba0e79c93d610ef47caf64a80f0ffe090 Mon Sep 17 00:00:00 2001 From: Matthias Bussonnier Date: Tue, 24 May 2022 10:04:11 +0200 Subject: [PATCH 23/40] Minor rephrase --- papers/bussonnier/papyri.rst | 52 +++++++++++++++++++++++++----------- 1 file changed, 37 insertions(+), 15 deletions(-) diff --git a/papers/bussonnier/papyri.rst b/papers/bussonnier/papyri.rst index ba10a3e065..01ada23747 100644 --- a/papers/bussonnier/papyri.rst +++ b/papers/bussonnier/papyri.rst @@ -209,20 +209,38 @@ In this section we describe in more details how Papyri has been implemented to a 1) Making documentation a multi-step process -------------------------------------------- -When building documentation, one can either customise the ``.. code-block:`` directive to execute/reformat entries, or create a ``:rc:`` role to link to configure parameters, several custom directives and plug-ins to simplify the rendering (including creating references, auto-genering documentation) -and sync with libraries source code. Customisation made by documentation maintainers then usually falls into the following two categories: -- simpler input convenience, -- modification of final rendering. +.. When building documentation, one can either customise the ``.. code-block:`` directive to execute/reformat entries, or create a ``:rc:`` role to link to configure parameters, several custom directives and plug-ins to simplify the rendering (including creating references, auto-genering documentation) +.. and sync with libraries source code. + -This first category often requires arbitrary code execution and must import the library currently being built. The second one offers a more user friendly environment (but requires to implement user preferences). For example, `sphinx-copybutton` adds a button to easily copy code snippets in a single click, and `pydata-sphinx-theme` and `sphinx-rtd-dark-mode` provide a different appearance. As a consequence, developers must make choices on -behalf of their end-users: this may concern syntax highlights, type annotations display, light/dark theme. +When using current documentation tools, customisation made by maintainers usually +falls into the following two categories: -Being able to modify extensions and re-render the -documentation without the rebuilding and executing stage is quite appealing. Thus, the building phase in Papyri (collecting documentation -information) is separated from the rendering phase (Objective (c)): at this step, Papyri has no knowledge and no configuration options that permit to modify the final appearance of the final documentation. Additionally, the optional rendering process has no knowledge of the building step, and -can be run without accessing the libraries involved. +- simpler input convenience, +- modification of final rendering. -This technique is commonly used in the field of compilers **add ref**, but to our knowledge, it has not been implemented for documentation in the Python ecosystem. As mentioned before, this separation is key to achieve many features proposed in Objectives (c), (d). +This first category often requires arbitrary code execution and must import the +library currently being built. For example implicit imports of ``.. +code-block:``, or custom ``:rc:`` directive). The second one offers a more user +friendly environment. For example, +`sphinx-copybutton` **Add ref** adds a button to easily copy code snippets in a single +click, and `pydata-sphinx-theme` or `sphinx-rtd-dark-mode` **add REF** provide a different +appearance. As a consequence, developers must make choices on behalf of their +end-users: this may concern syntax highlights, type annotations display, +light/dark theme. + +Being able to modify extensions and re-render the documentation without the +rebuilding and executing stage is quite appealing. Thus, the building phase in +Papyri (collecting documentation information) is separated from the rendering +phase (Objective (c)): at this step, Papyri has no knowledge and no +configuration options that permit to modify the appearance of the final +documentation. Additionally, the optional rendering process has no knowledge of +the building step, and can be run without accessing the libraries involved. + +This technique is commonly used in the field of compilers **add ref**, but to +our knowledge, it has not been implemented for documentation in the Python +ecosystem. As mentioned before, this separation is key to achieve many features +proposed in Objectives (c), (d). 2) Intermediate Representation for Documentation (IRD) ------------------------------------------------------ @@ -231,9 +249,13 @@ IRD format ~~~~~~~~~~ .. We borrow the name IR again from compilers. -Papyri relies on standard interchangeable "Intermediate -Representation for Documentation format" (IRD). This allows to reduce operation complexity of the documentation build. For example, given M documentation producers and N renderers, the current documentation build is O(MN). If each producer only cares about producing IRD, and if each renderer only consumes it, then one can reduce to O(M+N). -Additionally, one can take IRD from multiple producers at once, and render them all to a single target, breaking the silos between libraries. +Papyri relies on standard interchangeable "Intermediate Representation for +Documentation format" (IRD). This allows to reduce operation complexity of the +documentation build. For example, given M documentation producers and N +renderers, the documentation build would be O(MN). If each producer only cares +about producing IRD, and if each renderer only consumes it, then one can reduce +to O(M+N). Additionally, one can take IRD from multiple producers at once, and +render them all to a single target, breaking the silos between libraries. At the moment, IRD files are currently separated into four main categories:**provide a sketch or example with all ??** @@ -245,7 +267,7 @@ At the moment, IRD files are currently separated into four main categories:**pro exist in another library. Some extra per-object meta information like file/line number of definitions can be stored as well. - Narrative files are similar to API files, except that they do not - represent a given object, but posess a previous/next page, and are organised + represent a given object, but possesses a previous/next page, and are organised in an ordered tree related to the table of content. - Examples files are a non-ordered collection of files. - Assets files are untouched binary blobs **find better word** that can be referenced by any of the above From 20ff537734348ea70dfd34fd5ba7d34dc7c36769 Mon Sep 17 00:00:00 2001 From: Matthias Bussonnier Date: Fri, 27 May 2022 13:04:35 +0200 Subject: [PATCH 24/40] some updates --- papers/bussonnier/papyri.rst | 156 ++++++++++++++++++++++++----------- 1 file changed, 109 insertions(+), 47 deletions(-) diff --git a/papers/bussonnier/papyri.rst b/papers/bussonnier/papyri.rst index 01ada23747..7eda9acf39 100644 --- a/papers/bussonnier/papyri.rst +++ b/papers/bussonnier/papyri.rst @@ -160,7 +160,8 @@ represented in docstrings), and :ref:`Fig1`. In terms of format, markdown is app The following screenshot shows current help for ``scipy.signal.dpss`` as currently accessible on the left, as shown by Papyri for Jupyterlab - extension on the right. :label:`Fig1` + extension on the right. And extended version of the right pannel is seen on + Fig :ref:`jlab`. :label:`oldnew` 3) Objectives of the project @@ -170,8 +171,8 @@ We now layout the objectives of the Papyri documentation framework. Let us emphasize that the project is in no way intended to replace or cover many features included in well established documentation tools such as Sphinx or Jupyter-book. Those projects are extremely flexible and fit the need of their users. The Papyri project addresses specific documentation challenges (mentioned above), we present below what is (and what is not) the scope of work. -a) A generic (little customisable) website builder -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +a) Not a generic (customisable) website builder +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ When authors want or need complete control of the output and wide personalisation options, or branding, then Papyri is likely not the project to look @@ -182,9 +183,10 @@ b) A uniform documentation structure and syntax ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ The Papyri project prescribes stricter requirements in terms of format and structure compared to other tools such as Docutils and Sphinx. When possible, the documentation follows the Diátaxis Framework [DT]_. This provides a uniform documentation setup and syntax, simplifying contributions to the project and easing error catching at compile time. -Such strict environment is qualitatively supported by number of documentation fixes done upstream during the development stage of the project **ADD REFERENCES, -HERE to many fixes to numpy/scipy**. -Since Papyri is not fully-customisable, users who are already using documentation tools such as Sphinx, `mkdocs` **Not cited before in the context section, why not ?** and others should expect their project to require minor modifications to work with Papyri. +Such strict environment is qualitatively supported by number of documentation fixes done upstream during the development stage of the project [#]_. +Since Papyri is not fully-customisable, users who are already using documentation tools such as Sphinx, mkdocs [mkdocs]_ and others should expect their project to require minor modifications to work with Papyri. + +.. [#] `NumPy `_, `SciPy `_ c) Accessibility and user proficiency @@ -198,7 +200,8 @@ d) Simplicity, speed, and independence One objective of the project is to make documentation installation and rendering relatively straightforward and fast. To that aim, the project includes relative independence of documentation building across libraries, allowing bidirectional crosslinks (i.e. both forward and backward links between pages) to be maintained more easily. In other words, a single library can be built without the need to access documentation from another. Also, the project should include straightforward lookup documentation for an object from the interactive REPL. Finally, efforts are put to limit the installation speed (to avoid polynomial growth when installing packages on large distributed systems). -**TO MB: should IRD be introduced in this section then ??** +.. **TO MB: should IRD be introduced in this section then ??** +.. MB: I dont' think so, as IRD is not a goal but a solution ? 2) The Papyri solution ====================== @@ -220,7 +223,7 @@ falls into the following two categories: - modification of final rendering. This first category often requires arbitrary code execution and must import the -library currently being built. For example implicit imports of ``.. +library currently being built. For example use of ``.. code-block:``, or custom ``:rc:`` directive). The second one offers a more user friendly environment. For example, `sphinx-copybutton` **Add ref** adds a button to easily copy code snippets in a single @@ -237,11 +240,21 @@ configuration options that permit to modify the appearance of the final documentation. Additionally, the optional rendering process has no knowledge of the building step, and can be run without accessing the libraries involved. -This technique is commonly used in the field of compilers **add ref**, but to +This kind of technique is commonly used in the field of compilers with the usage +of Single Compilation Unit [SCU]_ and Intermediate Representation [IR]_, but to our knowledge, it has not been implemented for documentation in the Python ecosystem. As mentioned before, this separation is key to achieve many features proposed in Objectives (c), (d). +.. figure:: diagramme.png + :figclass: w + + Schema representing how to buld documentation with papyri: 1) Each projects + build an IRD bundle that contain semantic information about the project + documentation. 2) These IRD bundle are publihsed online. 3) Users install IRD + bundles locally, pages get corsslinked, indexed, etc.... 4) IDEs render + documentation on the fly taking into consideration user preferences. :label:`diag` + 2) Intermediate Representation for Documentation (IRD) ------------------------------------------------------ @@ -252,12 +265,14 @@ IRD format Papyri relies on standard interchangeable "Intermediate Representation for Documentation format" (IRD). This allows to reduce operation complexity of the documentation build. For example, given M documentation producers and N -renderers, the documentation build would be O(MN). If each producer only cares -about producing IRD, and if each renderer only consumes it, then one can reduce -to O(M+N). Additionally, one can take IRD from multiple producers at once, and -render them all to a single target, breaking the silos between libraries. +renderers, a full documentation build would be O(MN) (each renderer need to +understand each producer). If each producer only cares about producing IRD, and +if each renderer only consumes it, then one can reduce to O(M+N). Additionally, +one can take IRD from multiple producers at once, and render them all to a +single target, breaking the silos between libraries. -At the moment, IRD files are currently separated into four main categories:**provide a sketch or example with all ??** +At the moment, IRD files are currently separated into four main categories +roughly following the Diataxis framework [DT]_, and some technical needs: - API files describe the documentation for a single object, expressed as a Json object. When possible, the information is encoded semantically (Objective (c)). @@ -274,17 +289,32 @@ At the moment, IRD files are currently separated into four main categories:**pro three ones. They are the only ones that contain backward references, and no forward references. In addition to the four categories above, metadata about the current package is -stored: this includes library name, current version, PyPi name, GitHub slug **real term?**, maintainers' names, +stored: this includes library name, current version, PyPi name, GitHub repository slug [#]_, maintainers' names, logo, issue tracker and others. In particular, metadata allows us to auto generate links to issue trackers, and to source files when rendering. In order to properly resolve some references and normalize links convention, we also store a mapping from fully qualified names to canonical ones. +.. [#] "slug" is the common term that refer to the various combinaison of + organistaion name, user name, repository name, that uniquely identify a + repository on a platform like github. + IRD files must be standardized in order to achieve a uniform syntax structure (Objective (b)), In this paper, we do not discuss the IRD files distribution. The final specification IRD files is still in progress. We thus invite contributors to -consult the current state on the GitHub repository **add ref to the repo**. +consult the current state on the GitHub repository [papyri]_ . IRD bundles ~~~~~~~~~~~ -**Why is it important to talk about IRD bundles ? to clarify ? Having a difficult time to edit this subsection** + +Once a library have collected IRD representation for all documentation items +(functions, class, narrative sections, tutorials, examples), those are +consolidated into what we will refer to as IRD bundles. A Bundle regroups all +the IRD files and metadata for a single version of a library [#]_. Bundles are a +convenient unit to speak about publication, installation, or update of a given +library documentation files. + +.. [#] we can imagine having IRD bundles not attached to a particular library, + if for example, an author wish to provide only set of examples or tutorials, + but we won't dicuss this use case in the proceeding. + Unlike packages installation IRD bundles do not have the notion of dependencies, thus a full-fledge package manager is not necessary, and installing can be @@ -301,22 +331,32 @@ but we have not explored much the opportunity of IRD bundle translations. IRD and high level usage -~~~~~~~~~~~~~~~~~~~~~~~~ +------------------------ -Papyri-based documentation involves three broad categories of stakeholders (library maintainers, end-users, IDE developers), and processes. This leads to certain requirements on IRD files and bundles. +Papyri-based documentation involves three broad categories of stakeholders +(library maintainers, end-users, IDE developers), and processes. This leads to +certain requirements on IRD files and bundles. On the maintainers' side, the goal is to ensure that Papyri can build IRD files, and publish IRD bundles. -Creation of IRD files and bundles is the most computational intensive step. It may -require complex dependencies, or specific plugins. Thus, this can be a multi-step process, or one can use external tooling (not related to Papyri nor -uses Python) to create them. Visual appearance and rendering of documentation is not taken into account in this process. - -.. comment: - maybe move next paragrah somewehre else ? - -End-users are responsible from installing desired IRD bundles. In most cases, it will consist of IRD bundles from -already installed libraries. While Papyri is not currently integrated with -packages manager or IDEs, one could imagine this process being automatic, or on demand. +Creation of IRD files and bundles is the most computational intensive step. It +may require complex dependencies, or specific plugins. Thus, this can be a +multi-step process, or one can use external tooling (not related to Papyri nor +uses Python) to create them. Visual appearance and rendering of documentation is +not taken into account in this process. + +Overall, building IDR and bundles takes about the same amount of time as running +a full Sphinx build as the limiting factor will often be executing library +examples, and code snippets. For example, building SciPy & NumPy documentation +IRD files on a 2021 Macbook Pro M1 (base model), including executing examples in +most docstrings and type inferring most examples (with most variables +semantically inferred) can take several minutes. + +End-users are responsible from installing desired IRD bundles. In most cases, it +will consist of IRD bundles from already installed libraries. While Papyri is +not currently integrated with packages manager or IDEs, one could imagine +this process being automatic, or on demand. This step should be fairly efficient +as it mostly requires downloading on unpacking IRD files. Finally, IDEs developers want to make sure IRD files can be properly rendered and browsed by their users when requested. This may @@ -324,10 +364,6 @@ potentially take into account users' preferences, and may provide added values such as indexing, searching, bookmarks, etc.), as seen in rustsdocs, devdocs.io. -Overall, building cost depends on the three stakeholders. For example, building SciPy & NumPy -documentation IRD files on a 2021 Macbook Pro M1 (base model), including executing -examples in most docstrings and type inferring most examples (with most variables semanticly inferred) can take several minutes. **Is that good ? Comparison with other docs building ?Can we make a comment on this ?** - Current implementation ====================== @@ -454,7 +490,7 @@ a side-panel and is capable of basic browsing and rendering. Is uses typescript, react and native JupyterLab component. Future plan is to replace and complement JupyterLab's ``?`` and ``?`` operator as well as JupyterLab Inspector when possible. A screen shot of current development version of the JupyterLab -extension can be seen in :ref:`Fig1` and :ref:`Fig2`. +extension can be seen in :ref:`oldnew` and :ref:`jlab`. .. figure:: jupyterlab-prototype.png @@ -463,7 +499,7 @@ extension can be seen in :ref:`Fig1` and :ref:`Fig2`. Zoomed out view of the papyri for jupyterlab extension, we can see that the code examples include plots. Most token in each examples are link to the - corresponding page. Early navigatin bar visible at the top. :label:`Fig2` + corresponding page. Early navigatin bar visible at the top. :label:`jlab` .. figure:: local-graph.png @@ -553,7 +589,6 @@ make sources easier to read, and potentially speedup some library import time. Once a given library is confident enough of its users use an IDE that support papyri for documentation, docstring syntax could be exchanged for markdown. - As IRD files are structured, it should be feasible to provide cross-version information in documentation. For example, if one installs multiple version of IRD bundle for a library. Assuming the user does not use the latest version, @@ -563,23 +598,47 @@ With a bit more work, it should be possible to infer *when* a parameter was removed, or will be removed, or simply allow to display the difference between two versions. +Conclusion +========== + +While we are still at the beginning of this project and we have already seen +clear impacts it can have on the availability of high-quality documentation for +end users while still simplifying workload for maintainers. Building IRD format +open a wide range of technical possibilities, and user experience improvements +that would highly contribute to the success of the Scientific Python ecosystem, +and will be a necessity for users to navigate in a exponentially growing +ecosystem. + + +Acknowledgments +=============== + +We want to acknowledge and thanks a number of people and organisation for their +interest feedback and help on this project. In no particular orders, Santos Gallegos, author of +Tree-sitter-rst, Juan Luis Cano Rodríguez and +Eric Holscher from Read The Docs, Chris Holdgraf from 2i2c, Brian Granger and +Fernando Pérez from the Jupyter Project, Tania Allard, +Isabela Presedo-floyd from QuanSight. + + +Funding +======= + +This project received a 2 years funding grant from the Chan Zuckerberg +Initiative (CZI) Essential Open Source Software for Science (EOS) +– EOSS4-0000000017 via the NumFOCUS 501(3)c non profit. -- post deprecation -- translation - - automatic gallery. -Misc ----- +.. - post deprecation +.. - translation +.. - automatic gallery. -Is is common for compiler to use IR (MIRI, LLVM IR) -Not a novel idea, allow to mix compilation from multiple targets, LTO. -Diataxis -rustdocs. -https://markdoc.io/ -USE CI to build documentatino +.. rustdocs. +.. https://markdoc.io/ +.. USE CI to build documentatino @@ -622,6 +681,7 @@ References .. [docutils] https://docutils.sourceforge.io/ .. [sphinx] https://www.sphinx-doc.org/en/master/ +.. [mkdocs] https://www.mkdocs.org/ .. [RTD] https://readthedocs.org/ .. [RTD-theme] https://sphinx-rtd-theme.readthedocs.io/en/stable/ .. [AOT] https://en.wikipedia.org/wiki/Ahead-of-time_compilation @@ -632,3 +692,5 @@ References .. [CFRG] https://conda-forge.org/ .. [MYST] https://myst-parser.readthedocs.io/en/latest/ .. [NPDOC] https://numpydoc.readthedocs.io/en/latest/format.html +.. [SCU] https://en.wikipedia.org/wiki/Single_Compilation_Unit +.. 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zzqGYkr26s478DobJ-YV7N9`KZD+5-jKbqrPFqt)Q!dAuInP_eV`O%yBvG>33gh#A6 zZU67a^#6S$$8ZoI0aBFZg`wwh%vjWGvg_aZe~)oap-->vuXXjQOXyM{XN*qgpS&FL FKL7&bE7$-4 literal 0 HcmV?d00001 From cb77c064cafb6b7d9d193228b8fa4374aec9d209 Mon Sep 17 00:00:00 2001 From: Camille Carvalho Date: Wed, 1 Jun 2022 13:33:17 +0200 Subject: [PATCH 26/40] edit sections1-3 CC --- papers/bussonnier/papyri.rst | 124 ++++++++++++++++------------------- 1 file changed, 55 insertions(+), 69 deletions(-) diff --git a/papers/bussonnier/papyri.rst b/papers/bussonnier/papyri.rst index 7eda9acf39..15ee209d3f 100644 --- a/papers/bussonnier/papyri.rst +++ b/papers/bussonnier/papyri.rst @@ -27,7 +27,7 @@ Papyri: Better documentation for the Scientific Ecosystem in Jupyter .. class:: keywords - Document, Jupyter, ecosystem, accessibility + Documentation, Jupyter, ecosystem, accessibility Introduction ============ @@ -72,7 +72,7 @@ rebuild an *opinionated* documentation framework, from scratch, and with minimal dependencies: *Papyri*. Papyri focuses on building an intermediate documentation representation format, that lets us decouple building, and rendering the docs. This highly simplifies many operations and gives us access -to many desired features that where not available up to now. +to many desired features that were not available up to now. In what follows we provide the framework in which Papyri has been created and present its objectives (Context and goals), we describe the Papyri features @@ -103,7 +103,7 @@ for Python, and are used by all the libraries in this ecosystem. While a few alternatives exist, most tools and services have some internal knowledge of Sphinx. For instance, `Read the Docs` [RTD]_ provides a specific Sphinx theme [RTD-theme]_ users can opt-in to, `Jupyter-book` is built on top of Sphinx, and -MyST parser [MYST]_ (which is made to allow markdown in documentation) +`MyST` parser [MYST]_ (which is made to allow markdown in documentation) targets Sphinx as a backend, to name a few. All of the above provide an "ahead-of-time" documentation compilation and rendering, which is slow and computationally intensive. When a project needs its specific plugins, extensions @@ -118,7 +118,7 @@ many custom directives. Some of the above limitations are inherent to the design of documentation build tools that were intended for a separate documentation construction. While Sphinx does provide features like `intersphinx`, link resolutions are done at documentation -build time. Thus, this is inherently unidirectional, and can easily get broken. +building phase. Thus, this is inherently unidirectional, and can easily get broken. To illustrate this, we consider `NumPy` and `SciPy`, two extremely close libraries. In order to obtain proper cross-linked documentation, one is required to perform at least five steps: @@ -143,7 +143,7 @@ Only then can both SciPy's and NumPy's documentation refer to each other. As one The `numpydoc` format is ubiquitous among the scientific ecosystem [NPDOC]_. It is loosely based on RST syntax, and despite supporting full rst syntax, -docstrings rarely contain full-featured directive. Maintainers confronted to the following dilemma: +docstrings rarely contain full-featured directive. Maintainers are confronted to the following dilemma: - keep the docstrings simple. This means mostly text-based docstrings with few directive for efficient readability. The end-user may be exposed to raw docstring, there is no on-the-fly directive interpretation. This is the case for tools such as IPython and Jupyter. @@ -152,15 +152,13 @@ docstrings rarely contain full-featured directive. Maintainers confronted to the Other factors impact this choice: (i) users, (ii) format, (iii) runtime. IDE users or non-Terminal users motivate to push for extensive docstrings, and tools like `Docrepr` can mitigate this problem. However, users are often exposed to raw docstrings (see for example the discussion `SymPy `_ on how should equations be -represented in docstrings), and :ref:`Fig1`. In terms of format, markdown is appealing, however inconsistencies in the rendering will be created between libraries. Finally, some libraries can dynamically modify their docstring at runtime. While this avoids using directives, it ends up being more expensive (runtime costs, complex maintenance, and contribution costs). +represented in docstrings), and Fig :ref:`oldnew`. In terms of format, markdown is appealing, however inconsistencies in the rendering will be created between libraries. Finally, some libraries can dynamically modify their docstring at runtime. While this avoids using directives, it ends up being more expensive (runtime costs, complex maintenance, and contribution costs). -.. :align: center -.. :figclass: w .. figure:: scipy-dpss-old-new.png The following screenshot shows current help for ``scipy.signal.dpss`` as currently accessible on the left, as shown by Papyri for Jupyterlab - extension on the right. And extended version of the right pannel is seen on + extension on the right. An extended version of the right pannel is displayed in Fig :ref:`jlab`. :label:`oldnew` @@ -183,22 +181,22 @@ b) A uniform documentation structure and syntax ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ The Papyri project prescribes stricter requirements in terms of format and structure compared to other tools such as Docutils and Sphinx. When possible, the documentation follows the Diátaxis Framework [DT]_. This provides a uniform documentation setup and syntax, simplifying contributions to the project and easing error catching at compile time. -Such strict environment is qualitatively supported by number of documentation fixes done upstream during the development stage of the project [#]_. +Such strict environment is qualitatively supported by a number of documentation fixes done upstream during the development stage of the project [#]_. Since Papyri is not fully-customisable, users who are already using documentation tools such as Sphinx, mkdocs [mkdocs]_ and others should expect their project to require minor modifications to work with Papyri. -.. [#] `NumPy `_, `SciPy `_ +.. [#] Tests have been performed on `NumPy `_, `SciPy `_ c) Accessibility and user proficiency ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -Accessibility is a top priority of the project. To that aim, items are associated to semantic meaning as much as possible, and documentation rendering is separated from documentation building phase. That way, accessibility features such as high contract themes (for better speech-to-text raw data reading), early example highlights (for newcomers) and type annotation (for advanced users) can be quickly available. With the uniform documentation structure, this provides a coherent experience where users become more comfortable to find information (and in a single location) (see Figure 1). +Accessibility is a top priority of the project. To that aim, items are associated to semantic meaning as much as possible, and documentation rendering is separated from documentation building phase. That way, accessibility features such as high contract themes (for better text-to-speech (TTS) raw data), early example highlights (for newcomers) and type annotation (for advanced users) can be quickly available. With the uniform documentation structure, this provides a coherent experience where users become more comfortable to find information (and in a single location) (see Fig :ref:'oldnew'). d) Simplicity, speed, and independence ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ One objective of the project is to make documentation installation and rendering relatively straightforward and fast. To that aim, the project includes relative independence of documentation building across libraries, allowing bidirectional crosslinks (i.e. both forward and backward links between pages) to be maintained more easily. In other words, a single library can be built without the need to access documentation from another. Also, the project should include straightforward lookup documentation for an object from the -interactive REPL. Finally, efforts are put to limit the installation speed (to avoid polynomial growth when installing packages on large distributed systems). +interactive read–eval–print loop (REPL). Finally, efforts are put to limit the installation speed (to avoid polynomial growth when installing packages on large distributed systems). .. **TO MB: should IRD be introduced in this section then ??** .. MB: I dont' think so, as IRD is not a goal but a solution ? @@ -223,11 +221,11 @@ falls into the following two categories: - modification of final rendering. This first category often requires arbitrary code execution and must import the -library currently being built. For example use of ``.. -code-block:``, or custom ``:rc:`` directive). The second one offers a more user +library currently being built. This is the case for example for the use of ``.. +code-block:``, or custom ``:rc:`` directive. The second one offers a more user friendly environment. For example, -`sphinx-copybutton` **Add ref** adds a button to easily copy code snippets in a single -click, and `pydata-sphinx-theme` or `sphinx-rtd-dark-mode` **add REF** provide a different +`sphinx-copybutton` [sphinx-copybutton]_ adds a button to easily copy code snippets in a single +click, and `pydata-sphinx-theme` or `sphinx-rtd-dark-mode` [pydata-sphinx-theme]_ provide a different appearance. As a consequence, developers must make choices on behalf of their end-users: this may concern syntax highlights, type annotations display, light/dark theme. @@ -265,27 +263,27 @@ IRD format Papyri relies on standard interchangeable "Intermediate Representation for Documentation format" (IRD). This allows to reduce operation complexity of the documentation build. For example, given M documentation producers and N -renderers, a full documentation build would be O(MN) (each renderer need to +renderers, a full documentation build would be O(MN) (each renderer needs to understand each producer). If each producer only cares about producing IRD, and if each renderer only consumes it, then one can reduce to O(M+N). Additionally, one can take IRD from multiple producers at once, and render them all to a single target, breaking the silos between libraries. At the moment, IRD files are currently separated into four main categories -roughly following the Diataxis framework [DT]_, and some technical needs: +roughly following the Diátaxis framework [DT]_ and some technical needs: - API files describe the documentation for a single object, expressed as a - Json object. When possible, the information is encoded semantically (Objective (c)). + `Json` object. When possible, the information is encoded semantically (Objective (c)). Files are organized based on the fully-qualified name of the Python object they reference, and contain either absolute reference to another object (library, version and identifier), or delayed references to objects that may exist in another library. Some extra per-object meta information like file/line number of definitions can be stored as well. - Narrative files are similar to API files, except that they do not - represent a given object, but possesses a previous/next page, and are organised + represent a given object, but possess a previous/next page, and are organised in an ordered tree related to the table of content. - Examples files are a non-ordered collection of files. -- Assets files are untouched binary blobs **find better word** that can be referenced by any of the above +- Assets files are untouched binary resource archive files that can be referenced by any of the above three ones. They are the only ones that contain backward references, and no forward references. In addition to the four categories above, metadata about the current package is @@ -294,40 +292,33 @@ logo, issue tracker and others. In particular, metadata allows us to auto genera links to issue trackers, and to source files when rendering. In order to properly resolve some references and normalize links convention, we also store a mapping from fully qualified names to canonical ones. -.. [#] "slug" is the common term that refer to the various combinaison of - organistaion name, user name, repository name, that uniquely identify a - repository on a platform like github. +.. [#] "slug" is the common term that refers to the various combinaison of + organization name/user name/repository name, that uniquely identifies a + repository on a platform like GitHub. -IRD files must be standardized in order to achieve a uniform syntax structure (Objective (b)), In this paper, we do not discuss the IRD files distribution. The final specification IRD files is still in progress. We thus invite contributors to +IRD files must be standardized in order to achieve a uniform syntax structure (Objective (b)). In this paper, we do not discuss the IRD files distribution. The final specification IRD files is still in progress. We thus invite contributors to consult the current state on the GitHub repository [papyri]_ . IRD bundles ~~~~~~~~~~~ -Once a library have collected IRD representation for all documentation items -(functions, class, narrative sections, tutorials, examples), those are -consolidated into what we will refer to as IRD bundles. A Bundle regroups all -the IRD files and metadata for a single version of a library [#]_. Bundles are a +Once a library has collected IRD representation for all documentation items +(functions, class, narrative sections, tutorials, examples), Papyri consolidates them into what we will refer to as IRD bundles. A Bundle gathers all IRD files and metadata for a single version of a library [#]_. Bundles are a convenient unit to speak about publication, installation, or update of a given library documentation files. -.. [#] we can imagine having IRD bundles not attached to a particular library, - if for example, an author wish to provide only set of examples or tutorials, - but we won't dicuss this use case in the proceeding. +.. [#] One could have IRD bundles not attached to a particular library. For example, this can be done if an author wishes to provide only a set of examples or tutorials. We will not dicuss this case further here. -Unlike packages installation IRD bundles do not have the notion of dependencies, -thus a full-fledge package manager is not necessary, and installing can be -limited to downloading corresponding files and unpacking them. +Unlike package installation, IRD bundles do not have the notion of dependencies. +Thus, a fully fledged package manager is not necessary, and one can simply download corresponding files and unpack them at the installation phase. -IRD bundles for multiple versions of the same library (or conflicting libraries) is not inherently problematic, and can be shared across -multiple multiple environments. +Additionally, IRD bundles for multiple versions of the same library (or conflicting libraries) is not inherently problematic as they can be shared across +multiple environments. From a security standpoint, installing IRD bundles does not require the -execution of arbitrary code. This is critical for adoption in deployments. - -There is an opportunity at IRD installation time to provide localized variant, -but we have not explored much the opportunity of IRD bundle translations. +execution of arbitrary code. This is a critical element for adoption in deployments. +There exists as well to opportunity to provide localized variants at the IRD installation time (IRD bundles translations haven't been explored exhaustively at the moment). IRD and high level usage @@ -337,17 +328,11 @@ Papyri-based documentation involves three broad categories of stakeholders (library maintainers, end-users, IDE developers), and processes. This leads to certain requirements on IRD files and bundles. -On the maintainers' side, the goal is to ensure that Papyri can build IRD files, and publish IRD bundles. - -Creation of IRD files and bundles is the most computational intensive step. It +On the maintainers' side, the goal is to ensure that Papyri can build IRD files, and publish IRD bundles. Creation of IRD files and bundles is the most computationally intensive step. It may require complex dependencies, or specific plugins. Thus, this can be a multi-step process, or one can use external tooling (not related to Papyri nor -uses Python) to create them. Visual appearance and rendering of documentation is -not taken into account in this process. - -Overall, building IDR and bundles takes about the same amount of time as running -a full Sphinx build as the limiting factor will often be executing library -examples, and code snippets. For example, building SciPy & NumPy documentation +using Python) to create them. Visual appearance and rendering of documentation is +not taken into account in this process. Overall, building IDR files and bundles takes about the same amount of time as running a full Sphinx build. The limiting factor is often associated to executing library examples and code snippets. For example, building SciPy & NumPy documentation IRD files on a 2021 Macbook Pro M1 (base model), including executing examples in most docstrings and type inferring most examples (with most variables semantically inferred) can take several minutes. @@ -356,7 +341,7 @@ End-users are responsible from installing desired IRD bundles. In most cases, it will consist of IRD bundles from already installed libraries. While Papyri is not currently integrated with packages manager or IDEs, one could imagine this process being automatic, or on demand. This step should be fairly efficient -as it mostly requires downloading on unpacking IRD files. +as it mostly requires downloading and unpacking IRD files. Finally, IDEs developers want to make sure IRD files can be properly rendered and browsed by their users when requested. This may @@ -365,15 +350,15 @@ values such as indexing, searching, bookmarks, etc.), as seen in rustsdocs, devd -Current implementation -====================== +3) Current implementation +========================= In this section we'll describe a few of the choices we've make for a our current implementation. -IRD file Generation -------------------- +1) IRD file Generation +---------------------- While the core idea around papyri resides in the IRD files and bundles, we we made with current implementation. As a wide majority of the core Scientific python stack @@ -411,8 +396,8 @@ item in the Union may be of a different type. We currently try to type-infer all code examples with Jedi, and pre-syntax highlight using pygments when possible. -IRD File Installation ---------------------- +2) IRD File Installation +------------------------ Download and Installation of IRD files is done concurrently using ``httpx``, with ``trio`` as an async framework. This let us download files concurrently. @@ -442,8 +427,8 @@ Access to these resources is providing via an internal ``GraphStore`` API which is agnostic of the backend, and ensure the consistency of operations like adding/removing/replacing documents. -Documentation Rendering ------------------------ +3) Documentation Rendering +-------------------------- The current papyri implementation contains Wea number of rendering engines, each of them mostly consist of fetching a single page, it's metadata, and @@ -510,10 +495,11 @@ extension can be seen in :ref:`oldnew` and :ref:`jlab`. respect to their library. +4) Challenges +============= - -Challenges -========== +1) Limitations +-------------- In order to be able to link to object documentation without having access the build IRD bundles from all the library we need to come up with a schema that @@ -559,10 +545,8 @@ is defined, with its local name. We encountered multiple edge cases with that. - Many custom directive plugins cannot be reused from sphinx, and need to be reimplemented. - - -Future possibilities -==================== +2) Future possibilities +----------------------- Beyond what has been presented in this paper, there is a number of opportunities to improved and extend on what papyri can allow for the Scientific Python @@ -598,8 +582,8 @@ With a bit more work, it should be possible to infer *when* a parameter was removed, or will be removed, or simply allow to display the difference between two versions. -Conclusion -========== +5) Conclusion +============= While we are still at the beginning of this project and we have already seen clear impacts it can have on the availability of high-quality documentation for @@ -694,3 +678,5 @@ References .. [NPDOC] https://numpydoc.readthedocs.io/en/latest/format.html .. [SCU] https://en.wikipedia.org/wiki/Single_Compilation_Unit .. [papyri] https://github.com/jupyter/papyri +.. [sphinx-copybutton] https://sphinx-copybutton.readthedocs.io/en/latest/ +.. [pydata-sphinx-theme] https://pydata-sphinx-theme.readthedocs.io/en/stable/ From 67cd3c45500c83b8e4517704b00e81b4a63492f4 Mon Sep 17 00:00:00 2001 From: Camille Carvalho Date: Fri, 3 Jun 2022 16:05:07 +0200 Subject: [PATCH 27/40] end edits section 3. Fixed typos, reformulated sentences. --- papers/bussonnier/papyri.rst | 154 ++++++++++++++--------------------- 1 file changed, 60 insertions(+), 94 deletions(-) diff --git a/papers/bussonnier/papyri.rst b/papers/bussonnier/papyri.rst index 15ee209d3f..04adef952e 100644 --- a/papers/bussonnier/papyri.rst +++ b/papers/bussonnier/papyri.rst @@ -141,7 +141,7 @@ Only then can both SciPy's and NumPy's documentation refer to each other. As one 2) Docstrings format -------------------- -The `numpydoc` format is ubiquitous among the scientific ecosystem [NPDOC]_. It +The `Numpydoc` format is ubiquitous among the scientific ecosystem [NPDOC]_. It is loosely based on RST syntax, and despite supporting full rst syntax, docstrings rarely contain full-featured directive. Maintainers are confronted to the following dilemma: @@ -242,16 +242,14 @@ This kind of technique is commonly used in the field of compilers with the usage of Single Compilation Unit [SCU]_ and Intermediate Representation [IR]_, but to our knowledge, it has not been implemented for documentation in the Python ecosystem. As mentioned before, this separation is key to achieve many features -proposed in Objectives (c), (d). +proposed in Objectives (c), (d) (see Fig :ref:`diag`). .. figure:: diagramme.png :figclass: w - Schema representing how to buld documentation with papyri: 1) Each projects - build an IRD bundle that contain semantic information about the project - documentation. 2) These IRD bundle are publihsed online. 3) Users install IRD - bundles locally, pages get corsslinked, indexed, etc.... 4) IDEs render - documentation on the fly taking into consideration user preferences. :label:`diag` + Sketch representing how to build documentation with Papyri. Step 1: Each project + builds an IRD bundle that contains semantic information about the project + documentation. Step 2: the IRD bundles are publihsed online. Step 3: users install IRD bundles locally on their machine, pages get corsslinked, indexed, etc. Step 4: IDEs render documentation on-the-fly, taking into consideration users' preferences. :label:`diag` 2) Intermediate Representation for Documentation (IRD) ------------------------------------------------------ @@ -353,146 +351,113 @@ values such as indexing, searching, bookmarks, etc.), as seen in rustsdocs, devd 3) Current implementation ========================= -In this section we'll describe a few of the choices we've make for a our current -implementation. +We present here some of the choices made in the current Papyri implementation. -1) IRD file Generation ----------------------- +1) IRD files generation +----------------------- + +For now, the current implementation of Papyri only supports Sphinx, RST and Numpydoc. Those are widely used by a majority of the core Scientific Python ecosystem, and are compatible with IRD files and bundles (which are at the center of Papyri). Future work includes extensions to be compatible with MyST. -While the core idea around papyri resides in the IRD files and bundles, we -we made with current implementation. As a wide majority of the core Scientific python stack -uses sphinx, RST and Numpydoc, the current implementation only support those. -We do hope to extend it with MyST later, or provide it as a plugin. -We use Tree-Sitter, and tree-sitter-rst to parse RST syntax, in particular -tree-sitter allow us to easily "unparse" an AST node when necessary as the ast -nodes contains bytes offset to the original buffer. This was relatively -convenient to handle custom directive and number of edge cases where project -relied on loose definition of the rst syntax. For example rst directive are of -the form:: +The project uses 'tree-sitter' and 'tree-sitter-rst' to parse RST syntax. "Abstract syntax tree" (AST) nodes contain offset bytes to the original buffer, then tree-sitter allows us to easily "unparse" an AST node when necessary. This is relatively +convenient for handling custom directives and limit cases (for instance when projects rely on loose definition of the RST syntax). Let us provide an example: RST directives are usually of the form:: .. directive:: arguments body -While technically there is no space before the ``::``, docutils and sphinx allow -this, but it fails in tree-sitter with an error node. We check for error nodes, -un-parse, and add heuristics to restore a proper syntax and parse again to -obtain the new node. +While technically there is no space before the ``::``, Docutils and Sphinx will not create errors when building the documentation. Due to our choice of a rigid (but unified) structure, we use tree-sitter that indicates an error node if there is an extra space. This allows us to check for error nodes, un-parse, add heuristics to restore a proper syntax, then parse again to obtain the new node. -Alternatively a number of directive like ``warnings``, ``notes`` +Alternatively a number of directives like ``warnings``, ``notes`` ``admonitions`` still contain valid RST. Instead of storing the directive with the raw text, we parse the full document (potentially finding invalid syntax), and unparse to the raw text only if the directive requires it. -Serialisation of data structure into IRD files are currently using a custom -serialiser that we hope to swap for msgspec **ADD REF**. The AST objects are completely -typed but contains a number of Unions and Sequences of Unions. We found out that -many frameworks like ``pydantic`` do not support sequences of Unions where each -item in the Union may be of a different type. +Serialisation of data structure into IRD files is currently using a custom +serialiser. Future work includes swaping to msgspec [msgspec]_. The AST objects are completely typed, however they contain a number of unions and sequences of unions. It turns out, many frameworks like ``pydantic`` do not support sequences of unions where each item in the union may be of a different type. -We currently try to type-infer all code examples with Jedi, and pre-syntax -highlight using pygments when possible. +The current Papyri strategy is to type-infer all code examples with `Jedi`, and pre-syntax highlight using 'pygments' when possible. 2) IRD File Installation ------------------------ Download and Installation of IRD files is done concurrently using ``httpx``, -with ``trio`` as an async framework. This let us download files concurrently. +with ``trio`` as an async framework, allowing to download files concurrently. -As the current implementation of Papyri is targeted at Python documentation and -written in Python, we can query the existing version of Python libraries -installed, and infer the right version of the requested documentation. Our -implementation currently attempt to guess relevant libraries version when the +The current implementation of Papyri targets Python documentation and +is written in Python. We can then query the existing version of Python libraries +installed, and infer the appropriate version of the requested documentation. At the moment, the +implementation is set to tentatively guess relevant libraries versions when the exact version number is missing from for the install command. The IRD files are post-processed into a local custom format. Object informations are -store in 3 different places: A local SQLite database, CBOR representation of -each document, and raw storage on disk for assets and binary blobs. +stored in 3 different places: a local `SQLite` database, `CBOR` representation of +each document, and raw storage on the disk for assets and binary resource archive files. -SQlite allows us to easily query graph informations at run time, just before -rendering, and is mostly optimised for infrequent read access. While we still -mostly resolve some SQLite information at runtime, we are planning to move some -of this processing to installation time. For example, determining whether inter -libraries links exists. +SQlite allows us to easily query graph information at runtime and just before +rendering. It is mostly optimized for infrequent reading access. The goal is to move most of SQLite information resolving at the installation time (such as looking for interlibraries links). -CBOR object for post-processed IRD files has been chosen to provide a more -compact representation than JSON which keys are often is highly redundant, while -still avoiding to use compression for fast access. +CBOR represenation of post-processed IRD files is more compact than JSON (where keys are often highly redundant). Additionally, it avoids compression uses for fast access. -Access to these resources is providing via an internal ``GraphStore`` API which -is agnostic of the backend, and ensure the consistency of operations like +Finallt, access to these resources is provided via an internal ``GraphStore`` API which +is agnostic of the backend. This ensures the consistency of operations like adding/removing/replacing documents. 3) Documentation Rendering -------------------------- -The current papyri implementation contains Wea number of rendering engines, each -of them mostly consist of fetching a single page, it's metadata, and -walking the IRD AST tree, and rendering each nodes with user preferences. +The current Papyri implementation contains a certain number of rendering engines (presented below). Each +of them mostly consists of fetching a single page with its metadata, and +walking through the IRD AST tree, and rendering each nodes with users' preferences. -- An ASCII terminal render using Jinja2. This can be useful to pipe - documentation to other tools like grep, less, cat. - This also helps us to work in a highly restricted environment, and make sure - reading the documentation is sensible; for example as a proxy to using a +- An ASCII terminal renders using `Jinja2`. This can be useful to pipe + documentation to other tools like ``grep``, ``less``, ``cat``. + Then one can work in a highly restricted environment, make sure that + reading the documentation is coherent. This can serve as a proxy to using a screen reader. -- A Textual User Interface browser using urwid. This lets you navigate in the - terminal, reflow long line on window resize, and can even open images files in - external editors. We encountered several bugs in urwid and are considering - rewriting it using Rich/Textual. Our project is for this renderer to replace - CLI IPython ``?`` interface which currently only shows raw docstrings. +- A Textual User Interface browser renders using `urwid`. Navigation within the + terminal is possible, one can reflow long line on resized window, and even open image files in + external editors. Though, several bugs have been encountered in urwid. The project includes replacing the + CLI IPython ``?`` interface (which currently only shows raw docstrings) in urwid with a new one written with Rich/Textual. -- A "Just-in-Time" rendering engine using Jinja2/quart/trio ; Quart being an async - version of flask. This version is the one with the most features, and is the - principal one we use for development. This environment let us iterate rapidly +- A JIT rendering engine uses Jinja2, `Quart`, `Trio`. Quart is an async + version of `flask` **and trio is ??what is flask ?**. This option contains the most features, and therefore is the + main one used for development. This environment lets us iterate rapidly over the rendering engine. -- A static "Ahead of time", rendering of all the existing pages that can be - rendered ahead of time, using the same class as the Just-in-time rendering - that basically loops through all entries in the SQLite database and render - each independently. We use this renderer mostly for exhaustive testing, and - measure performance. - - With this renderer we can render most of the API documentation of IPython, - astropy, dask, distributed, matplotlib, networkx, numpy, pandas, papyri, scipy, - scikit-image. This represent ~28000 pages in ~60 seconds, so about 450 pages/sec on - a recent macbook pro M1. +- A static AOT rendering of all the existing pages that can be + rendered ahead of time uses the same class as the JIT rendering. Basically, this loops through all entries in the SQLite database and renders + each item independently. This renderer is mostly used for exhaustive testing and performance measures for Papyri. This can render most of the API documentation of IPython, `Astropy`, `Dask`, `Distributed`, `Matplotlib`, `Networkx`, NumPy, `Pandas`, Papyri, SciPy, `Scikit-image` and others. It can represent ~28000 pages in ~60 seconds (that is ~450 pages/s on a recent Macbook pro M1). + -For all of the above renderer, our profiling shows that documentation rendering is -mostly limited by object de-serialisation from disk as well a Jinja2 -templating engine. We've played with writing a static html renderer in a -compiled language (Rust, using compiled, and typed checked templates), and -managed to get about a factor 10 speedup, but this implementation is now out of -sync with the main papyri code base. +For all of the above renderers, profiling shows that documentation rendering is +mostly limited by object de-serialisation from disk and Jinja2 +templating engine. In the early project development phase, we attempted to write a static html renderer in a +compiled language (like Rust, using compiled and typed checked templates). This provided a speedup of roughly a factor 10. However, its implementation is now out of sync with the main Papyri code base. -Finally we've started implementing a JupyterLab extension that present itself as -a side-panel and is capable of basic browsing and rendering. Is uses typescript, -react and native JupyterLab component. Future plan is to replace and complement -JupyterLab's ``?`` and ``?`` operator as well as JupyterLab Inspector when -possible. A screen shot of current development version of the JupyterLab -extension can be seen in :ref:`oldnew` and :ref:`jlab`. +Finally, a JupyterLab extension is currently in progress.The documentation then presents itself as +a side-panel and is capable of basic browsing and rendering (see Figure :ref:`oldnew` and Figure :ref:`jlab`). The model uses typescript, +react and native JupyterLab component. Future goals include improving/replacing the +JupyterLab's ``?`` and the JupyterLab Inspector (when possible). A screenshot of the current development version of the JupyterLab +extension can be seen in Figure :ref:`jlab`. .. figure:: jupyterlab-prototype.png :scale: 80% - Zoomed out view of the papyri for jupyterlab extension, we can see that the - code examples include plots. Most token in each examples are link to the - corresponding page. Early navigatin bar visible at the top. :label:`jlab` + Example of extended view of the Papyri documentation for Jupyterlab extension (here for SciPy). Code examples can now include plots. Most token in each examples are linked to the corresponding page. Early navigation bar is visible at the top. :label:`jlab` .. figure:: local-graph.png - (screenshot). We played with the possibility of using D3.js to a local graph - of connection among the most important node arround ``numpy.ndarray``. Nodes - are sized with respectd to the number of incomming links, and colored with - respect to their library. + Local graph (made with D3.js) representing the connections among the most important nodes around ``numpy.ndarray``. Nodes + are sized with respect to the number of incomming links, and colored with respect to their library. 4) Challenges @@ -680,3 +645,4 @@ References .. [papyri] https://github.com/jupyter/papyri .. [sphinx-copybutton] https://sphinx-copybutton.readthedocs.io/en/latest/ .. [pydata-sphinx-theme] https://pydata-sphinx-theme.readthedocs.io/en/stable/ +.. [msgspec] https://pypi.org/porject/msgspec From 3d41a41661818dfa1e3fcab09642a018e2df91df Mon Sep 17 00:00:00 2001 From: Matthias Bussonnier Date: Fri, 3 Jun 2022 07:25:22 -0700 Subject: [PATCH 28/40] Update papers/bussonnier/papyri.rst --- papers/bussonnier/papyri.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/papers/bussonnier/papyri.rst b/papers/bussonnier/papyri.rst index 04adef952e..2380abafed 100644 --- a/papers/bussonnier/papyri.rst +++ b/papers/bussonnier/papyri.rst @@ -645,4 +645,4 @@ References .. [papyri] https://github.com/jupyter/papyri .. [sphinx-copybutton] https://sphinx-copybutton.readthedocs.io/en/latest/ .. [pydata-sphinx-theme] https://pydata-sphinx-theme.readthedocs.io/en/stable/ -.. [msgspec] https://pypi.org/porject/msgspec +.. [msgspec] https://pypi.org/project/msgspec From 4a7decb656588be9f7477efd3889568bd21c1d0e Mon Sep 17 00:00:00 2001 From: Camille Carvalho Date: Fri, 3 Jun 2022 17:00:44 +0200 Subject: [PATCH 29/40] last edits --- papers/bussonnier/papyri.rst | 113 +++++++++++++++-------------------- 1 file changed, 48 insertions(+), 65 deletions(-) diff --git a/papers/bussonnier/papyri.rst b/papers/bussonnier/papyri.rst index 2380abafed..670f44c4a0 100644 --- a/papers/bussonnier/papyri.rst +++ b/papers/bussonnier/papyri.rst @@ -456,25 +456,22 @@ extension can be seen in Figure :ref:`jlab`. .. figure:: local-graph.png - Local graph (made with D3.js) representing the connections among the most important nodes around ``numpy.ndarray``. Nodes + Local graph (made with D3.js [D3js]_) representing the connections among the most important nodes around ``numpy.ndarray``. Nodes are sized with respect to the number of incomming links, and colored with respect to their library. 4) Challenges ============= +We mentioned above some limitations we encountered (in rendering usage for instance) and what will be done in the future to address them. We provide below some limitations related to syntax choices, and broader opportunities that arise from the Papyri project. + 1) Limitations -------------- +The decoupling of the building and rendering phases is key in Papyri. However it requires to come up with a scheme that uniquely identifies each object. In particular, this is essential in order to link any object documentation without accessing the IRD bundles build from all the libraries. To that aim, we use the fully qualified names of an object. Namely, each object is identified by the the concatenation of the module in which it is defined, with its local name. Several particular cases needed specific treatment. -In order to be able to link to object documentation without having access -the build IRD bundles from all the library we need to come up with a schema that -uniquely identify each object. For this we decided to use the fully qualified -names of an object. That is to say the concatenation of the module in which it -is defined, with its local name. We encountered multiple edge cases with that. - -- To mirror python syntax is it easy to use ``.`` to concatenate both parts. - Unfortunately that leads to ambiguity when modules re-export functions of - the same name. +- To mirror the Python syntax, is it easy to use ``.`` to concatenate both parts. + Unfortunately, that leads to ambiguity when modules re-export functions are of + the same name. For example, if one types .. code-block:: python @@ -482,100 +479,85 @@ is defined, with its local name. We encountered multiple edge cases with that. from .mything import mything - ``mylib.mything`` is ambiguous with respect to the ``mything`` submodule and - the object reexported. In future version we'll use ``:`` as a module/name + then ``mylib.mything`` is ambiguous both with respect to the ``mything`` submodule, and + the reexported object. In future versions, the convention used will be ``:`` as a module/name separator. -- Decorated functions or other dynamic approaches to expose function to users +- Decorated functions or other dynamic approaches to expose functions to users end up having ``>`` in their fully qualified names, which is invalid. -- Many builtins functions (``np.sin``, ``np.cos``, ...) do not have a fully +- Many built-in functions (``np.sin``, ``np.cos``, ...) do not have a fully qualified name that can be extracted by object introspection. We believe it - should be possible to identify those via other means (e.g. docstring hash) but - haven't explored those possibilities yet. + should be possible to identify those via other means like docstring hash (to be explored). -- Fully qualified names are often not canonical names (the name that are - typically use for import), and finding the canonical name automatically is not - always straightforward. +- Fully qualified names are often not canonical names (i.e. the name typically used for import). While we made efforts in creating a mapping from one to another, finding the canonical name automatically is not always straightforward. -- There are also challenges with case sensitivity, in particular of - MacOS file systems, and a couple of object ends up referring to the same IRD file - on disk if proper care is not taken. We currently append a case-sensitive hash - at end of the filename to disambiguate. +- There are also challenges with case sensitivity. For example for + MacOS file systems, a couple of objects may unfortunately refer to the same IRD file + on disk. To address this, a case-sensitive hash is appened at end of the filename. - Many libraries have syntax that _looks_ right once rendered to html, but does - not follow proper syntax, or relies on peculiarities of docutils and sphinx - rendering and parsing. + not follow proper syntax, or relies on specificities of Docutils and Sphinx + rendering/parsing. -- Many custom directive plugins cannot be reused from sphinx, and need to be +- Many custom directive plugins cannot be reused from Sphinx. These will need to be reimplemented. 2) Future possibilities ----------------------- -Beyond what has been presented in this paper, there is a number of opportunities -to improved and extend on what papyri can allow for the Scientific Python -ecosystem. +Beyond what has been presented in this paper, there are several opportunities +to improve and extend what Papyri can allow for the Scientific Python +ecosystem. -One of the area we have not talked about is the ability to build IRD bundle on -Continuous Integration platform. Services like GitHub action, Azure pipeline and -many other are already setup to test packages. We hope to leverage this -infrastructure to build IRD file and make them available to users. +The first area is the ability to build IRD bundles on +Continuous Integration platforms. Services like GitHub action, Azure pipeline and +many others are already setup to test packages. We hope to leverage this +infrastructure to build IRD files and make them available to users. -Hosting of intermediate IRD file has also not been covered, while we currently -have a prototype of http index using GitHub pages, it is likely not a -sustainable hosting platform as disk space is limited. IRD being in our -experience smaller than HTML documentation, we hope that other platform like -readthedoc can be leveraged. A platform like readthedocs could also provide a -single domain that renders the documentation for multiple libraries, thus -avoiding having many sub domains for each library and giving a more unified -experience to users. +A second area is hosting of intermediate IRD files. While the current prototype is hosting by http index using GitHub pages, it is likely not a +sustainable hosting platform as disk space is limited. To our knowledge, IRD are smaller in size than HTML documentation, we hope that other platforms like Readthedoc can be leveraged. This could provide a single domain that renders the documentation for multiple libraries, thus +avoiding the display of many library subdomains. This contributes to giving a more unified experience to users. It should be possible for projects to avoid using many dynamic docstrings -interpolation that are use to documents ``*args`` and ``**kwargs``. This would -make sources easier to read, and potentially speedup some library import time. +interpolation that are used to document ``*args`` and ``**kwargs``. This would +make sources easier to read, and potentially have some speedup at the library import time. -Once a given library is confident enough of its users use an IDE that support -papyri for documentation, docstring syntax could be exchanged for markdown. +Once a (given and appropriately used by its users) library uses an IDE that supports +Papyri for documentation, docstring syntax could be exchanged for markdown. As IRD files are structured, it should be feasible to provide cross-version -information in documentation. For example, if one installs multiple version of -IRD bundle for a library. Assuming the user does not use the latest version, -the renderer could inspect IRD file from previous/future versions to indicate -the range of version for which the documentation has not changed. -With a bit more work, it should be possible to infer *when* a parameter was +information in the documentation. For example, if one installs multiple versions of +IRD bundles for a library, then assuming the user does not use the latest version, +the renderer could inspect IRD files from previous/future versions to indicate +the range of versions for which the documentation has not changed. +Upon additional efforts, it should be possible to infer *when* a parameter was removed, or will be removed, or simply allow to display the difference between two versions. 5) Conclusion ============= -While we are still at the beginning of this project and we have already seen -clear impacts it can have on the availability of high-quality documentation for -end users while still simplifying workload for maintainers. Building IRD format -open a wide range of technical possibilities, and user experience improvements -that would highly contribute to the success of the Scientific Python ecosystem, -and will be a necessity for users to navigate in a exponentially growing +To address some of current limitations in documentation accessibility, building and maintaining, we have provided a new documentation framework called Papyri. We presented its features and underlying implementation choices (this includes crosslinks maintainance, decoupling building and rendering phases, enrich the rendering features, use the IRD format to create a unified syntax structure, etc.). While the project is still at its early stage, clear impacts can be already seen on the availability of high-quality documentation for endusers, and on the workload reduction for maintainers. Building IRD format opened a wide range of technical possibilities, and contributes to improve users' experience (and therefore the success of the Scientific Python ecosystem). This may become necessary for users to navigate in a exponentially growing ecosystem. Acknowledgments =============== -We want to acknowledge and thanks a number of people and organisation for their -interest feedback and help on this project. In no particular orders, Santos Gallegos, author of -Tree-sitter-rst, Juan Luis Cano Rodríguez and -Eric Holscher from Read The Docs, Chris Holdgraf from 2i2c, Brian Granger and -Fernando Pérez from the Jupyter Project, Tania Allard, -Isabela Presedo-floyd from QuanSight. +The authors want to thank S. Gallegos (author of +Tree-sitter-rst), J. L. Cano Rodríguez and +E. Holscher (Read The Docs), C. Holdgraf (2i2c), B. Granger and +F. Pérez (Jupyter Project), T. Allard and I. Presedo-Floyd (QuanSight) for their +useful feedback and help on this project. Funding ======= -This project received a 2 years funding grant from the Chan Zuckerberg +M. B. received a 2-year grant from the Chan Zuckerberg Initiative (CZI) Essential Open Source Software for Science (EOS) -– EOSS4-0000000017 via the NumFOCUS 501(3)c non profit. +– EOSS4-0000000017 via the NumFOCUS 501(3)c non profit to develop the Papyri project. @@ -645,4 +627,5 @@ References .. [papyri] https://github.com/jupyter/papyri .. [sphinx-copybutton] https://sphinx-copybutton.readthedocs.io/en/latest/ .. [pydata-sphinx-theme] https://pydata-sphinx-theme.readthedocs.io/en/stable/ -.. [msgspec] https://pypi.org/project/msgspec +.. [msgspec] https://pypi.org/porject/msgspec +.. [D3js] https://d3js.org/ From 21903f487c5e241a780e328d726bb0bd7d47604f Mon Sep 17 00:00:00 2001 From: Matthias Bussonnier Date: Fri, 3 Jun 2022 08:03:59 -0700 Subject: [PATCH 30/40] Update papers/bussonnier/papyri.rst --- papers/bussonnier/papyri.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/papers/bussonnier/papyri.rst b/papers/bussonnier/papyri.rst index 670f44c4a0..e5c43fcddc 100644 --- a/papers/bussonnier/papyri.rst +++ b/papers/bussonnier/papyri.rst @@ -627,5 +627,5 @@ References .. [papyri] https://github.com/jupyter/papyri .. [sphinx-copybutton] https://sphinx-copybutton.readthedocs.io/en/latest/ .. [pydata-sphinx-theme] https://pydata-sphinx-theme.readthedocs.io/en/stable/ -.. [msgspec] https://pypi.org/porject/msgspec +.. [msgspec] https://pypi.org/project/msgspec .. [D3js] https://d3js.org/ From b7ec884d6f6bb4be00540d9d20caa582d52a219a Mon Sep 17 00:00:00 2001 From: Camille Carvalho Date: Mon, 13 Jun 2022 13:13:58 +0200 Subject: [PATCH 31/40] full read and typos grammar edits --- papers/bussonnier/papyri.rst | 281 ++++++++++++++++------------------- 1 file changed, 132 insertions(+), 149 deletions(-) diff --git a/papers/bussonnier/papyri.rst b/papers/bussonnier/papyri.rst index e5c43fcddc..b9baf1723b 100644 --- a/papers/bussonnier/papyri.rst +++ b/papers/bussonnier/papyri.rst @@ -11,15 +11,15 @@ :orcid: 0000-0002-8426-549X ==================================================================== -Papyri: Better documentation for the Scientific Ecosystem in Jupyter +Papyri: better documentation for the scientific ecosystem in Jupyter ==================================================================== .. class:: abstract We present here the idea behind Papyri, a framework we are developing to provide a better documentation experience for the scientific ecosystem. In - particular, we wish to provide a documentation browser from within Jupyter or - other IDEs and Python editors that gives a unified experience, cross library + particular, we wish to provide a documentation browser (from within Jupyter or + other IDEs and Python editors) that gives a unified experience, cross library navigation search and indexing. By decoupling documentation generation from rendering we hope this can help address some of the documentation accessibility concerns, and allow customisation based on users' preferences. @@ -28,9 +28,9 @@ Papyri: Better documentation for the Scientific Ecosystem in Jupyter .. class:: keywords Documentation, Jupyter, ecosystem, accessibility - + Introduction -============ +++++++++++++ Over the past decades, the Python ecosystem has grown rapidly, and one of the last bastion where some of the proprietary competition tools shine is integrated @@ -42,29 +42,26 @@ While a number of tools and documentations exists (and improvements are made everyday), most efforts attempt to build documentation in an isolated way, inherently creating a heterogeneous framework. The consequences are twofolds: (i) it becomes difficult for newcomers to grasp the tools properly, (ii) there -is a lack of cohesion and unified framework as library authors make their proper -choices and must maintain build scripts or services. +is a lack of cohesion and of unified framework due to library authors making their proper +choices as well as having to maintain build scripts or services. Many users, colleagues, and members of the community have been frustrated with the documentation experience in the Python ecosystem. Given a library, who -hasn't struggle to find the "official" website for the documentation ? Often, +hasn't struggled to find the "official" website for the documentation ? Often, users stumble across an old documentation version that is better ranked in their -favorite search engine, and this impacts less experienced users' learning -greatly. +favorite search engine, and this impacts significantly the learning process of less experienced users. -The experience on users' local machine is affected by limited documentation -rendering. Indeed, while the inspector in many Integrated Development -Environments (IDEs) provides some documentation, users do not get access to -the narrative, or full documentation gallery. For Command Line Interface (CLI) +On users' local machine, this process is affected by limited documentation +rendering. Indeed, while in many Integrated Development +Environments (IDEs) the inspector provides some documentation, users do not get access to +the narrative, or the full documentation gallery. For Command Line Interface (CLI) users, documentation is often displayed as raw source where no navigation is -possible. On the maintainers' side, the final documentation rendering is less a +possible. On the maintainers' side, the final documentation rendering is less of a priority. Rather, maintainers should aim at making users gain from improvement in the rendering without having to rebuild all the docs. -Efforts such as conda-forge [CFRG]_ have shown that concerted efforts can -give a much better experience to end-users, and in today's world where sharing -libraries source on code platforms, continuous integration, and many other tools -is ubiquitous, we believe a better documentation framework for many of the +Conda-forge [CFRG]_ has shown that concerted efforts can +give a much better experience to end-users, and in today's world where it is ubiquitous to share libraries source on code platforms, perform continuous integration and many other tools, we believe a better documentation framework for many of the libraries of the scientific Python should be available. Thus, against all advice we received and based on our own experience, we have decided to @@ -74,32 +71,31 @@ documentation representation format, that lets us decouple building, and rendering the docs. This highly simplifies many operations and gives us access to many desired features that were not available up to now. -In what follows we provide the framework in which Papyri has been created and -present its objectives (Context and goals), we describe the Papyri features +In what follows, we provide the framework in which Papyri has been created and +present its objectives (context and goals), we describe the Papyri features (format, installation, and usage), then present its current implementation. We end this paper with comments on current challenges and future work. - -1) Context and objectives -========================= +Context and objectives +++++++++++++++++++++++ Through out the paper, we will draw several comparisons between documentation building and compiled languages. Also, we will borrow and adapt commonly used terminology. In particular, similarities with "ahead-of-time" (AOT) [AOT]_, "just-in-time"" (JIT) [JIT]_, intermediate representation (IR) [IR]_, link-time optimization (LTO) [LTO]_, static vs dynamic linking will be highlighted. This -allows to clarify the presentation of the underlying architecture, however there +allows us to clarify the presentation of the underlying architecture. However, there is no requirement to be familiar with the above to understand the concepts underneath Papyri. In that context, we wish to discuss documentation building as a process from a source-code meant for a machine to a final output targeting the flesh and blood machine between the keyboard and the chair. -1) Current tools and limitations --------------------------------- +Current tools and limitations +----------------------------- In the scientific Python ecosystem, it is well known that Docutils [docutils]_ and Sphinx [sphinx]_ are major cornerstones for publishing html documentation -for Python, and are used by all the libraries in this ecosystem. While a few +for Python. In fact, they are used by all the libraries in this ecosystem. While a few alternatives exist, most tools and services have some internal knowledge of Sphinx. For instance, `Read the Docs` [RTD]_ provides a specific Sphinx theme [RTD-theme]_ users can opt-in to, `Jupyter-book` is built on top of Sphinx, and @@ -117,8 +113,8 @@ many custom directives. Some of the above limitations are inherent to the design of documentation build tools that were intended for a separate documentation construction. While Sphinx does -provide features like `intersphinx`, link resolutions are done at documentation -building phase. Thus, this is inherently unidirectional, and can easily get broken. +provide features like `intersphinx`, link resolutions are done at the documentation +building phase. Thus, this is inherently unidirectional, and can break easily. To illustrate this, we consider `NumPy` and `SciPy`, two extremely close libraries. In order to obtain proper cross-linked documentation, one is required to perform at least five steps: @@ -133,16 +129,16 @@ steps: - rebuild NumPy docs to make use of SciPy's ``obj.inv`` -Only then can both SciPy's and NumPy's documentation refer to each other. As one can expect, crosslinks break everytime a new version of a library is published [#]_. Pre-produced html in IDEs and other tools are then prone to error and difficult to maintain. This also raises security issues: some institutions become reluctant to use tools like `Docrepr` or viewing pre-produced html. +Only then can both SciPy's and NumPy's documentation refer to each other. As one can expect, crosslinks break every time a new version of a library is published [#]_. Pre-produced html in IDEs and other tools are then prone to error and difficult to maintain. This also raises security issues: some institutions become reluctant to use tools like `Docrepr` or viewing pre-produced html. .. [#] `ipython/ipython#12210 `_, `numpy/numpy#21016 `_, `& #29073 `_ -2) Docstrings format --------------------- +Docstrings format +----------------- The `Numpydoc` format is ubiquitous among the scientific ecosystem [NPDOC]_. It -is loosely based on RST syntax, and despite supporting full rst syntax, +is loosely based on RST syntax, and despite supporting full RST syntax, docstrings rarely contain full-featured directive. Maintainers are confronted to the following dilemma: - keep the docstrings simple. This means mostly text-based docstrings with few directive for efficient readability. The end-user may be exposed to raw docstring, there is no on-the-fly directive interpretation. This is the case for tools such as IPython and Jupyter. @@ -150,65 +146,57 @@ docstrings rarely contain full-featured directive. Maintainers are confronted to - write an extensive docstring. This includes references, and directive that potentially creates graphics, tables and more, allowing an enriched end-user experience. However this may be computationally intensive, and executing code to view docs could be a security risk. -Other factors impact this choice: (i) users, (ii) format, (iii) runtime. IDE users or non-Terminal users motivate to push for extensive docstrings, and tools like `Docrepr` can mitigate this problem. However, users are often exposed to raw docstrings (see for example the discussion `SymPy -`_ on how should equations be -represented in docstrings), and Fig :ref:`oldnew`. In terms of format, markdown is appealing, however inconsistencies in the rendering will be created between libraries. Finally, some libraries can dynamically modify their docstring at runtime. While this avoids using directives, it ends up being more expensive (runtime costs, complex maintenance, and contribution costs). +Other factors impact this choice: (i) users, (ii) format, (iii) runtime. IDE users or non-Terminal users motivate to push for extensive docstrings, and tools like `Docrepr` can mitigate this problem. However, users are often exposed to raw docstrings (see for example the `SymPy +`_ discussion on how equations should be +displayed in docstrings, and Fig :ref:`oldnew`). In terms of format, markdown is appealing, however inconsistencies in the rendering will be created between libraries. Finally, some libraries can dynamically modify their docstring at runtime. While this avoids using directives, it ends up being more expensive (runtime costs, complex maintenance, and contribution costs). .. figure:: scipy-dpss-old-new.png - The following screenshot shows current help for ``scipy.signal.dpss`` as - currently accessible on the left, as shown by Papyri for Jupyterlab - extension on the right. An extended version of the right pannel is displayed in + The following screenshot shows the help for ``scipy.signal.dpss``, as + currently accessible (left), as shown by Papyri for Jupyterlab + extension (right). An extended version of the right pannel is displayed in Fig :ref:`jlab`. :label:`oldnew` -3) Objectives of the project ----------------------------- +Objectives of the project +------------------------- We now layout the objectives of the Papyri documentation framework. -Let us emphasize that the project is in no way intended to replace or cover many features included in well established documentation tools such as Sphinx or Jupyter-book. -Those projects are extremely flexible and fit the need of their users. The Papyri project addresses specific documentation challenges (mentioned above), we present below what is (and what is not) the scope of work. - -a) Not a generic (customisable) website builder -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +Let us emphasize that the project is in no way intended to replace or cover many features included in well-established documentation tools such as Sphinx or Jupyter-book. +Those projects are extremely flexible and meet the needs of their users. The Papyri project addresses specific documentation challenges (mentioned above), we present below what is (and what is not) the scope of work. +**Goal (a): design a non-generic (non fully customisable) website builder.** When authors want or need complete control of the output and wide -personalisation options, or branding, then Papyri is likely not the project to look +personalisation options, or branding, then Papyri is not likely the project to look at. That is to say single-project websites where appearance, layout, domain need to be controlled by the author is not part of the objectives. -b) A uniform documentation structure and syntax -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - +**Goal (b): create a uniform documentation structure and syntax.** The Papyri project prescribes stricter requirements in terms of format and structure compared to other tools such as Docutils and Sphinx. When possible, the documentation follows the Diátaxis Framework [DT]_. This provides a uniform documentation setup and syntax, simplifying contributions to the project and easing error catching at compile time. Such strict environment is qualitatively supported by a number of documentation fixes done upstream during the development stage of the project [#]_. -Since Papyri is not fully-customisable, users who are already using documentation tools such as Sphinx, mkdocs [mkdocs]_ and others should expect their project to require minor modifications to work with Papyri. - -.. [#] Tests have been performed on `NumPy `_, `SciPy `_ +Since Papyri is not fully customisable, users who are already using documentation tools such as Sphinx, mkdocs [mkdocs]_ and others should expect their project to require minor modifications to work with Papyri. +.. [#] Tests have been performed on `NumPy `_, `SciPy `_. -c) Accessibility and user proficiency -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -Accessibility is a top priority of the project. To that aim, items are associated to semantic meaning as much as possible, and documentation rendering is separated from documentation building phase. That way, accessibility features such as high contract themes (for better text-to-speech (TTS) raw data), early example highlights (for newcomers) and type annotation (for advanced users) can be quickly available. With the uniform documentation structure, this provides a coherent experience where users become more comfortable to find information (and in a single location) (see Fig :ref:'oldnew'). - -d) Simplicity, speed, and independence -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +**Goal (c): provide accessibility and user proficiency.** +Accessibility is a top priority of the project. To that aim, items are associated to semantic meaning as much as possible, and documentation rendering is separated from documentation building phase. That way, accessibility features such as high contract themes (for better text-to-speech (TTS) raw data), early example highlights (for newcomers) and type annotation (for advanced users) can be quickly available. With the uniform documentation structure, this provides a coherent experience where users become more comfortable finding information in a single location (see Fig :ref:`oldnew`). +**Goal (d): make documentation building simple, fast, and independent.** One objective of the project is to make documentation installation and rendering relatively straightforward and fast. To that aim, the project includes relative independence of documentation building across libraries, allowing bidirectional crosslinks (i.e. both forward and backward links between pages) to be maintained more easily. In other words, a single library can be built without the need to access documentation from another. Also, the project should include straightforward lookup documentation for an object from the interactive read–eval–print loop (REPL). Finally, efforts are put to limit the installation speed (to avoid polynomial growth when installing packages on large distributed systems). .. **TO MB: should IRD be introduced in this section then ??** .. MB: I dont' think so, as IRD is not a goal but a solution ? -2) The Papyri solution -====================== +The Papyri solution ++++++++++++++++++++ -In this section we describe in more details how Papyri has been implemented to address the objectives mentioned above. +In this section we describe in more detail how Papyri has been implemented to address the objectives mentioned above. -1) Making documentation a multi-step process --------------------------------------------- +Making documentation a multi-step process +----------------------------------------- .. When building documentation, one can either customise the ``.. code-block:`` directive to execute/reformat entries, or create a ``:rc:`` role to link to configure parameters, several custom directives and plug-ins to simplify the rendering (including creating references, auto-genering documentation) .. and sync with libraries source code. @@ -241,7 +229,7 @@ the building step, and can be run without accessing the libraries involved. This kind of technique is commonly used in the field of compilers with the usage of Single Compilation Unit [SCU]_ and Intermediate Representation [IR]_, but to our knowledge, it has not been implemented for documentation in the Python -ecosystem. As mentioned before, this separation is key to achieve many features +ecosystem. As mentioned before, this separation is key to achieving many features proposed in Objectives (c), (d) (see Fig :ref:`diag`). .. figure:: diagramme.png @@ -251,11 +239,11 @@ proposed in Objectives (c), (d) (see Fig :ref:`diag`). builds an IRD bundle that contains semantic information about the project documentation. Step 2: the IRD bundles are publihsed online. Step 3: users install IRD bundles locally on their machine, pages get corsslinked, indexed, etc. Step 4: IDEs render documentation on-the-fly, taking into consideration users' preferences. :label:`diag` -2) Intermediate Representation for Documentation (IRD) ------------------------------------------------------- +Intermediate Representation for Documentation (IRD) +--------------------------------------------------- -IRD format -~~~~~~~~~~ +**IRD format** +~~~~~~~~~~~~~~ .. We borrow the name IR again from compilers. Papyri relies on standard interchangeable "Intermediate Representation for @@ -278,45 +266,45 @@ roughly following the Diátaxis framework [DT]_ and some technical needs: exist in another library. Some extra per-object meta information like file/line number of definitions can be stored as well. - Narrative files are similar to API files, except that they do not - represent a given object, but possess a previous/next page, and are organised + represent a given object, but possess a previous/next page. They are organised in an ordered tree related to the table of content. -- Examples files are a non-ordered collection of files. +- Example files are a non-ordered collection of files. - Assets files are untouched binary resource archive files that can be referenced by any of the above three ones. They are the only ones that contain backward references, and no forward references. In addition to the four categories above, metadata about the current package is stored: this includes library name, current version, PyPi name, GitHub repository slug [#]_, maintainers' names, -logo, issue tracker and others. In particular, metadata allows us to auto generate +logo, issue tracker and others. In particular, metadata allows us to autogenerate links to issue trackers, and to source files when rendering. In order to properly resolve some references and normalize links convention, we also store a mapping from fully qualified names to canonical ones. -.. [#] "slug" is the common term that refers to the various combinaison of +.. [#] "slug" is the common term that refers to the various combinations of organization name/user name/repository name, that uniquely identifies a repository on a platform like GitHub. -IRD files must be standardized in order to achieve a uniform syntax structure (Objective (b)). In this paper, we do not discuss the IRD files distribution. The final specification IRD files is still in progress. We thus invite contributors to -consult the current state on the GitHub repository [papyri]_ . +IRD files must be standardized in order to achieve a uniform syntax structure (Objective (b)). In this paper, we do not discuss IRD files distribution. The final specification IRD files is still in progress. We thus invite contributors to +consult the current state on the GitHub repository [Papyri]_ . -IRD bundles -~~~~~~~~~~~ +**IRD bundles** +~~~~~~~~~~~~~~~ Once a library has collected IRD representation for all documentation items (functions, class, narrative sections, tutorials, examples), Papyri consolidates them into what we will refer to as IRD bundles. A Bundle gathers all IRD files and metadata for a single version of a library [#]_. Bundles are a convenient unit to speak about publication, installation, or update of a given library documentation files. -.. [#] One could have IRD bundles not attached to a particular library. For example, this can be done if an author wishes to provide only a set of examples or tutorials. We will not dicuss this case further here. +.. [#] One could have IRD bundles not attached to a particular library. For example, this can be done if an author wishes to provide only a set of examples or tutorials. We will not discuss this case further here. Unlike package installation, IRD bundles do not have the notion of dependencies. Thus, a fully fledged package manager is not necessary, and one can simply download corresponding files and unpack them at the installation phase. -Additionally, IRD bundles for multiple versions of the same library (or conflicting libraries) is not inherently problematic as they can be shared across +Additionally, IRD bundles for multiple versions of the same library (or conflicting libraries) are not inherently problematic as they can be shared across multiple environments. From a security standpoint, installing IRD bundles does not require the execution of arbitrary code. This is a critical element for adoption in deployments. -There exists as well to opportunity to provide localized variants at the IRD installation time (IRD bundles translations haven't been explored exhaustively at the moment). +There exists as well to opportunity to provide localized variants at the IRD installation time (IRD bundle translations haven't been explored exhaustively at the moment). IRD and high level usage @@ -324,110 +312,106 @@ IRD and high level usage Papyri-based documentation involves three broad categories of stakeholders (library maintainers, end-users, IDE developers), and processes. This leads to -certain requirements on IRD files and bundles. +certain requirements for IRD files and bundles. On the maintainers' side, the goal is to ensure that Papyri can build IRD files, and publish IRD bundles. Creation of IRD files and bundles is the most computationally intensive step. It may require complex dependencies, or specific plugins. Thus, this can be a multi-step process, or one can use external tooling (not related to Papyri nor using Python) to create them. Visual appearance and rendering of documentation is -not taken into account in this process. Overall, building IDR files and bundles takes about the same amount of time as running a full Sphinx build. The limiting factor is often associated to executing library examples and code snippets. For example, building SciPy & NumPy documentation +not taken into account in this process. Overall, building IRD files and bundles takes about the same amount of time as running a full Sphinx build. The limiting factor is often associated to executing library examples and code snippets. For example, building SciPy & NumPy documentation IRD files on a 2021 Macbook Pro M1 (base model), including executing examples in most docstrings and type inferring most examples (with most variables semantically inferred) can take several minutes. -End-users are responsible from installing desired IRD bundles. In most cases, it +End-users are responsible for installing desired IRD bundles. In most cases, it will consist of IRD bundles from already installed libraries. While Papyri is -not currently integrated with packages manager or IDEs, one could imagine +not currently integrated with package managers or IDEs, one could imagine this process being automatic, or on demand. This step should be fairly efficient as it mostly requires downloading and unpacking IRD files. Finally, IDEs developers want to make sure IRD files can be properly rendered and browsed by their users when requested. This may potentially take into account users' preferences, and may provide added -values such as indexing, searching, bookmarks, etc.), as seen in rustsdocs, devdocs.io. - +values such as indexing, searching, bookmarks and others, as seen in rustsdocs, devdocs.io. -3) Current implementation -========================= +Current implementation +++++++++++++++++++++++ We present here some of the choices made in the current Papyri implementation. -1) IRD files generation ------------------------ +IRD files generation +-------------------- -For now, the current implementation of Papyri only supports Sphinx, RST and Numpydoc. Those are widely used by a majority of the core Scientific Python ecosystem, and are compatible with IRD files and bundles (which are at the center of Papyri). Future work includes extensions to be compatible with MyST. +For now, the current implementation of Papyri only supports Sphinx, RST and Numpydoc. These are widely used by a majority of the core scientific Python ecosystem, and are compatible with IRD files and bundles (which are at the center of Papyri). Future work includes extensions to be compatible with MyST. -The project uses 'tree-sitter' and 'tree-sitter-rst' to parse RST syntax. "Abstract syntax tree" (AST) nodes contain offset bytes to the original buffer, then tree-sitter allows us to easily "unparse" an AST node when necessary. This is relatively -convenient for handling custom directives and limit cases (for instance when projects rely on loose definition of the RST syntax). Let us provide an example: RST directives are usually of the form:: +The project uses `tree-sitter` and `tree-sitter-rst` to parse RST syntax. "Abstract syntax tree" (AST) nodes contain offset bytes to the original buffer, then tree-sitter allows us to easily "unparse" an AST node when necessary. This is relatively +convenient for handling custom directives and limit cases (for instance, when projects rely on a loose definition of the RST syntax). Let us provide an example: RST directives are usually of the form:: .. directive:: arguments body -While technically there is no space before the ``::``, Docutils and Sphinx will not create errors when building the documentation. Due to our choice of a rigid (but unified) structure, we use tree-sitter that indicates an error node if there is an extra space. This allows us to check for error nodes, un-parse, add heuristics to restore a proper syntax, then parse again to obtain the new node. +While technically there is no space before the ``::``, Docutils and Sphinx will not create errors when building the documentation. Due to our choice of a rigid (but unified) structure, we use tree-sitter that indicates an error node if there is an extra space. This allows us to check for error nodes, unparse, add heuristics to restore a proper syntax, then parse again to obtain the new node. -Alternatively a number of directives like ``warnings``, ``notes`` +Alternatively, a number of directives like ``warnings``, ``notes`` ``admonitions`` still contain valid RST. Instead of storing the directive with the raw text, we parse the full document (potentially finding invalid syntax), and unparse to the raw text only if the directive requires it. Serialisation of data structure into IRD files is currently using a custom -serialiser. Future work includes swaping to msgspec [msgspec]_. The AST objects are completely typed, however they contain a number of unions and sequences of unions. It turns out, many frameworks like ``pydantic`` do not support sequences of unions where each item in the union may be of a different type. +serialiser. Future work includes swapping to msgspec [msgspec]_. The AST objects are completely typed, however they contain a number of unions and sequences of unions. It turns out, many frameworks like ``pydantic`` do not support sequences of unions where each item in the union may be of a different type. -The current Papyri strategy is to type-infer all code examples with `Jedi`, and pre-syntax highlight using 'pygments' when possible. +The current Papyri strategy is to type-infer all code examples with `Jedi`, and pre-syntax highlight using `pygments` when possible. -2) IRD File Installation ------------------------- +IRD File Installation +--------------------- -Download and Installation of IRD files is done concurrently using ``httpx``, -with ``trio`` as an async framework, allowing to download files concurrently. +Download and installation of IRD files is done concurrently using ``httpx``, +with ``trio`` as an async framework, allowing us to download files concurrently. The current implementation of Papyri targets Python documentation and is written in Python. We can then query the existing version of Python libraries installed, and infer the appropriate version of the requested documentation. At the moment, the implementation is set to tentatively guess relevant libraries versions when the -exact version number is missing from for the install command. +exact version number is missing from the install command. -The IRD files are post-processed into a local custom format. Object informations are +The IRD files are post-processed into a local custom format. Object information is stored in 3 different places: a local `SQLite` database, `CBOR` representation of each document, and raw storage on the disk for assets and binary resource archive files. SQlite allows us to easily query graph information at runtime and just before -rendering. It is mostly optimized for infrequent reading access. The goal is to move most of SQLite information resolving at the installation time (such as looking for interlibraries links). +rendering. It is mostly optimized for infrequent reading access. The goal is to move most of SQLite information resolving step at the installation time (such as looking for interlibraries links). -CBOR represenation of post-processed IRD files is more compact than JSON (where keys are often highly redundant). Additionally, it avoids compression uses for fast access. +CBOR representation of post-processed IRD files is more compact than JSON (where keys are often highly redundant). Additionally, it avoids compression usage for fast access. -Finallt, access to these resources is provided via an internal ``GraphStore`` API which -is agnostic of the backend. This ensures the consistency of operations like +Finally, access to these resources is provided via an internal ``GraphStore`` API which +is agnostic of the backend. This ensures consistency of operations like adding/removing/replacing documents. -3) Documentation Rendering --------------------------- +Documentation Rendering +----------------------- -The current Papyri implementation contains a certain number of rendering engines (presented below). Each +The current Papyri implementation includes a certain number of rendering engines (presented below). Each of them mostly consists of fetching a single page with its metadata, and -walking through the IRD AST tree, and rendering each nodes with users' preferences. +walking through the IRD AST tree, and rendering each node with users' preferences. -- An ASCII terminal renders using `Jinja2`. This can be useful to pipe +- An ASCII terminal renders using `Jinja2`. This can be useful for piping documentation to other tools like ``grep``, ``less``, ``cat``. - Then one can work in a highly restricted environment, make sure that - reading the documentation is coherent. This can serve as a proxy to using a - screen reader. + Then one can work in a highly restricted environment, making sure that + reading the documentation is coherent. This can serve as a proxy for screen reading. - A Textual User Interface browser renders using `urwid`. Navigation within the - terminal is possible, one can reflow long line on resized window, and even open image files in - external editors. Though, several bugs have been encountered in urwid. The project includes replacing the + terminal is possible, one can reflow long lines on resized windows, and even open image files in external editors. Nonetheless, several bugs have been encountered in urwid. The project aims at replacing the CLI IPython ``?`` interface (which currently only shows raw docstrings) in urwid with a new one written with Rich/Textual. - A JIT rendering engine uses Jinja2, `Quart`, `Trio`. Quart is an async - version of `flask` **and trio is ??what is flask ?**. This option contains the most features, and therefore is the - main one used for development. This environment lets us iterate rapidly - over the rendering engine. + version of `flask` [flask]_. This option contains the most features, and therefore is the + main one used for development. This environment lets us iterate over the rendering engine rapidly. - A static AOT rendering of all the existing pages that can be rendered ahead of time uses the same class as the JIT rendering. Basically, this loops through all entries in the SQLite database and renders @@ -440,7 +424,7 @@ templating engine. In the early project development phase, we attempted to write compiled language (like Rust, using compiled and typed checked templates). This provided a speedup of roughly a factor 10. However, its implementation is now out of sync with the main Papyri code base. -Finally, a JupyterLab extension is currently in progress.The documentation then presents itself as +Finally, a JupyterLab extension is currently in progress. The documentation then presents itself as a side-panel and is capable of basic browsing and rendering (see Figure :ref:`oldnew` and Figure :ref:`jlab`). The model uses typescript, react and native JupyterLab component. Future goals include improving/replacing the JupyterLab's ``?`` and the JupyterLab Inspector (when possible). A screenshot of the current development version of the JupyterLab @@ -460,17 +444,17 @@ extension can be seen in Figure :ref:`jlab`. are sized with respect to the number of incomming links, and colored with respect to their library. -4) Challenges -============= +Challenges +++++++++++ We mentioned above some limitations we encountered (in rendering usage for instance) and what will be done in the future to address them. We provide below some limitations related to syntax choices, and broader opportunities that arise from the Papyri project. -1) Limitations --------------- -The decoupling of the building and rendering phases is key in Papyri. However it requires to come up with a scheme that uniquely identifies each object. In particular, this is essential in order to link any object documentation without accessing the IRD bundles build from all the libraries. To that aim, we use the fully qualified names of an object. Namely, each object is identified by the the concatenation of the module in which it is defined, with its local name. Several particular cases needed specific treatment. +Limitations +----------- +The decoupling of the building and rendering phases is key in Papyri. However, it requires us to come up with a method that uniquely identifies each object. In particular, this is essential in order to link any object documentation without accessing the IRD bundles build from all the libraries. To that aim, we use the fully qualified names of an object. Namely, each object is identified by the concatenation of the module in which it is defined, with its local name. Nonetheless, several particular cases need specific treatment. - To mirror the Python syntax, is it easy to use ``.`` to concatenate both parts. - Unfortunately, that leads to ambiguity when modules re-export functions are of + Unfortunately, that leads to some ambiguity when modules re-export functions have the same name. For example, if one types .. code-block:: python @@ -480,34 +464,33 @@ The decoupling of the building and rendering phases is key in Papyri. However it from .mything import mything then ``mylib.mything`` is ambiguous both with respect to the ``mything`` submodule, and - the reexported object. In future versions, the convention used will be ``:`` as a module/name + the reexported object. In future versions, the chosen convention will use ``:`` as a module/name separator. - Decorated functions or other dynamic approaches to expose functions to users end up having ``>`` in their fully qualified names, which is invalid. -- Many built-in functions (``np.sin``, ``np.cos``, ...) do not have a fully +- Many built-in functions (``np.sin``, ``np.cos``, etc.) do not have a fully qualified name that can be extracted by object introspection. We believe it should be possible to identify those via other means like docstring hash (to be explored). -- Fully qualified names are often not canonical names (i.e. the name typically used for import). While we made efforts in creating a mapping from one to another, finding the canonical name automatically is not always straightforward. +- Fully qualified names are often not canonical names (i.e. the name typically used for import). While we made efforts to create a mapping from one to another, finding the canonical name automatically is not always straightforward. - There are also challenges with case sensitivity. For example for MacOS file systems, a couple of objects may unfortunately refer to the same IRD file - on disk. To address this, a case-sensitive hash is appened at end of the filename. + on disk. To address this, a case-sensitive hash is appended at the end of the filename. -- Many libraries have syntax that _looks_ right once rendered to html, but does - not follow proper syntax, or relies on specificities of Docutils and Sphinx +- Many libraries have a syntax that `looks` right once rendered to HTML while not following proper syntax, or a syntax that relies on specificities of Docutils and Sphinx rendering/parsing. - Many custom directive plugins cannot be reused from Sphinx. These will need to be reimplemented. -2) Future possibilities ------------------------ +Future possibilities +-------------------- Beyond what has been presented in this paper, there are several opportunities -to improve and extend what Papyri can allow for the Scientific Python +to improve and extend what Papyri can allow for the scientific Python ecosystem. The first area is the ability to build IRD bundles on @@ -515,9 +498,9 @@ Continuous Integration platforms. Services like GitHub action, Azure pipeline an many others are already setup to test packages. We hope to leverage this infrastructure to build IRD files and make them available to users. -A second area is hosting of intermediate IRD files. While the current prototype is hosting by http index using GitHub pages, it is likely not a -sustainable hosting platform as disk space is limited. To our knowledge, IRD are smaller in size than HTML documentation, we hope that other platforms like Readthedoc can be leveraged. This could provide a single domain that renders the documentation for multiple libraries, thus -avoiding the display of many library subdomains. This contributes to giving a more unified experience to users. +A second area is hosting of intermediate IRD files. While the current prototype is hosted by http index using GitHub pages, it is likely not a +sustainable hosting platform as disk space is limited. To our knowledge, IRD files are smaller in size than HTML documentation, we hope that other platforms like Read the Docs can be leveraged. This could provide a single domain that renders the documentation for multiple libraries, thus +avoiding the display of many library subdomains. This contributes to giving a more unified experience for users. It should be possible for projects to avoid using many dynamic docstrings interpolation that are used to document ``*args`` and ``**kwargs``. This would @@ -532,28 +515,27 @@ IRD bundles for a library, then assuming the user does not use the latest versio the renderer could inspect IRD files from previous/future versions to indicate the range of versions for which the documentation has not changed. Upon additional efforts, it should be possible to infer *when* a parameter was -removed, or will be removed, or simply allow to display the difference between +removed, or will be removed, or to simply display the difference between two versions. -5) Conclusion -============= +Conclusion +++++++++++ -To address some of current limitations in documentation accessibility, building and maintaining, we have provided a new documentation framework called Papyri. We presented its features and underlying implementation choices (this includes crosslinks maintainance, decoupling building and rendering phases, enrich the rendering features, use the IRD format to create a unified syntax structure, etc.). While the project is still at its early stage, clear impacts can be already seen on the availability of high-quality documentation for endusers, and on the workload reduction for maintainers. Building IRD format opened a wide range of technical possibilities, and contributes to improve users' experience (and therefore the success of the Scientific Python ecosystem). This may become necessary for users to navigate in a exponentially growing +To address some of the current limitations in documentation accessibility, building and maintaining, we have provided a new documentation framework called Papyri. We presented its features and underlying implementation choices (such as crosslink maintainance, decoupling building and rendering phases, enriching the rendering features, using the IRD format to create a unified syntax structure, etc.). While the project is still at its early stage, clear impacts can already be seen on the availability of high-quality documentation for end-users, and on the workload reduction for maintainers. Building IRD format opened a wide range of technical possibilities, and contributes to improving users' experience (and therefore the success of the scientific Python ecosystem). This may become necessary for users to navigate in an exponentially growing ecosystem. - Acknowledgments -=============== ++++++++++++++++ The authors want to thank S. Gallegos (author of -Tree-sitter-rst), J. L. Cano Rodríguez and +tree-sitter-rst), J. L. Cano Rodríguez and E. Holscher (Read The Docs), C. Holdgraf (2i2c), B. Granger and F. Pérez (Jupyter Project), T. Allard and I. Presedo-Floyd (QuanSight) for their useful feedback and help on this project. Funding -======= ++++++++ M. B. received a 2-year grant from the Chan Zuckerberg Initiative (CZI) Essential Open Source Software for Science (EOS) @@ -624,8 +606,9 @@ References .. [MYST] https://myst-parser.readthedocs.io/en/latest/ .. [NPDOC] https://numpydoc.readthedocs.io/en/latest/format.html .. [SCU] https://en.wikipedia.org/wiki/Single_Compilation_Unit -.. [papyri] https://github.com/jupyter/papyri +.. [Papyri] https://github.com/jupyter/papyri .. [sphinx-copybutton] https://sphinx-copybutton.readthedocs.io/en/latest/ .. [pydata-sphinx-theme] https://pydata-sphinx-theme.readthedocs.io/en/stable/ .. [msgspec] https://pypi.org/project/msgspec .. [D3js] https://d3js.org/ +.. [flask] https://flask.palletsprojects.com/en/2.1.x/ From b429b1c1468c3d9b0a84ec43cbe403863e18cbc0 Mon Sep 17 00:00:00 2001 From: Matthias Bussonnier Date: Tue, 14 Jun 2022 10:18:47 +0200 Subject: [PATCH 32/40] Response to comments: from wd15: > The intermediate format or IRD is a very important step for the > community. Other tools can build from this format either by > generating the documentation view or by generating the IRD from the > source code. It would be nice in the paper if the authors could > actually describe the details of the format or schema for the > IRD. The schema itself could become a standard for documentation > and, thus, making it transparent to the reader would be useful. We've extended the paragraph speaking of this. As the IRD isstill changing rapidly we don't belove a description that woudl be outdated in a week would be useful in the paper. --- papers/bussonnier/papyri.rst | 12 ++++++++++-- 1 file changed, 10 insertions(+), 2 deletions(-) diff --git a/papers/bussonnier/papyri.rst b/papers/bussonnier/papyri.rst index b9baf1723b..6c0f988c92 100644 --- a/papers/bussonnier/papyri.rst +++ b/papers/bussonnier/papyri.rst @@ -282,8 +282,16 @@ In order to properly resolve some references and normalize links convention, we organization name/user name/repository name, that uniquely identifies a repository on a platform like GitHub. -IRD files must be standardized in order to achieve a uniform syntax structure (Objective (b)). In this paper, we do not discuss IRD files distribution. The final specification IRD files is still in progress. We thus invite contributors to -consult the current state on the GitHub repository [Papyri]_ . +IRD files must be standardized in order to achieve a uniform syntax structure +(Objective (b)). In this paper, we do not discuss IRD files distribution. + +The final specification IRD files is still in progress and still regularly +undergo major changes – therefor we do not describe it in this paper as the +description would already be outdated by the time this paper is published. +We thus invite contributors to consult the current state on the GitHub repository [Papyri]_, +and look at the current implementation. Once the IRD format is more stable we +plan on publishing a JSON schema, full specification and more in depth description. + **IRD bundles** ~~~~~~~~~~~~~~~ From cbdf1dca28ac725aded798b92ad32ef7521d3325 Mon Sep 17 00:00:00 2001 From: Matthias Bussonnier Date: Tue, 14 Jun 2022 10:55:09 +0200 Subject: [PATCH 33/40] Address comment: from wd15: > The intermediate format or IRD is a very important step for the > community. Other tools can build from this format either by > generating the documentation view or by generating the IRD from the > source code. It would be nice in the paper if the authors could > actually describe the details of the format or schema for the > IRD. The schema itself could become a standard for documentation > and, thus, making it transparent to the reader would be useful. We want to avoid duplication, and would prefer to point to other medatada source. Currently we limit to only what is necessary --- papers/bussonnier/papyri.rst | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/papers/bussonnier/papyri.rst b/papers/bussonnier/papyri.rst index 6c0f988c92..87d776beed 100644 --- a/papers/bussonnier/papyri.rst +++ b/papers/bussonnier/papyri.rst @@ -282,6 +282,12 @@ In order to properly resolve some references and normalize links convention, we organization name/user name/repository name, that uniquely identifies a repository on a platform like GitHub. +The exact structure of package metadata is not yet defined, we currently limit +it to the minimum functional. While we could adopt formats like codemeta +[CODEMETA]_, we want to avoid duplicating information, and would prefer to rely +on metadata already present in the published packages, or extracting from source +repository GitHub. + IRD files must be standardized in order to achieve a uniform syntax structure (Objective (b)). In this paper, we do not discuss IRD files distribution. @@ -620,3 +626,4 @@ References .. [msgspec] https://pypi.org/project/msgspec .. [D3js] https://d3js.org/ .. [flask] https://flask.palletsprojects.com/en/2.1.x/ +.. 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z?5-l#Fo&T)dm90>4~V$ty%#E3078{*YalBm%FFd~h5&t!QvWi*gGUlSgp4>y)AWEp zB-Y1T7GZwjkPDrdjfD_sA=MF^m*%L~KAkldgU@yBAaAGT<`xw6c#Oz1nTF|#p- zIWa%V7Gd?H2KLyrtcoFg5X5f_J>@*&Ag5`YFsGB}I=5Ra8jI;xkXS2#Fm2!@2v++o zX+|h6c@i|ddL7u_rdO^ne}Y(U2M=3%om)$qSSM2zj*)Btkzg;`s8sM2PaB zfUGvh2wCU^Ng^TAec~CfZ-TLRaTq`uebPD=rJ?Y6X~73`p&{XZ(I BvZMe2 literal 0 HcmV?d00001 diff --git a/papers/bussonnier/graphstore.svg b/papers/bussonnier/graphstore.svg new file mode 100644 index 0000000000..269ad86dce --- /dev/null +++ b/papers/bussonnier/graphstore.svg @@ -0,0 +1,353 @@ + + + +3.cbor....png.jpgSQLiteGraphStore API diff --git a/papers/bussonnier/papyri.rst b/papers/bussonnier/papyri.rst index 87d776beed..da8500586b 100644 --- a/papers/bussonnier/papyri.rst +++ b/papers/bussonnier/papyri.rst @@ -393,19 +393,64 @@ installed, and infer the appropriate version of the requested documentation. At implementation is set to tentatively guess relevant libraries versions when the exact version number is missing from the install command. +With our current implementation IRD bundle are post-processed and stored in a +different format for later just in time rendering. This is done purely for +convenience and performance reasons for local usage. -The IRD files are post-processed into a local custom format. Object information is -stored in 3 different places: a local `SQLite` database, `CBOR` representation of -each document, and raw storage on the disk for assets and binary resource archive files. +For local rendering, we mostly need to the following operations:: -SQlite allows us to easily query graph information at runtime and just before -rendering. It is mostly optimized for infrequent reading access. The goal is to move most of SQLite information resolving step at the installation time (such as looking for interlibraries links). +1. Querying graph informations about cross links across documents. +2. Rendering of a single page. +3. Accessing raw data like images. -CBOR representation of post-processed IRD files is more compact than JSON (where keys are often highly redundant). Additionally, it avoids compression usage for fast access. +As we assume documentation access is happening on an end-user machine, we will +also consider that IRD files are infrequently updated, disk space is limited, +and installing of running services (like a database server), are not available +options. -Finally, access to these resources is provided via an internal ``GraphStore`` API which -is agnostic of the backend. This ensures consistency of operations like -adding/removing/replacing documents. +With those requirements we decided to use a combination of `SQLite` (an +in-process database engine), `CBOR` [#]_ and raw storage to better reflect the +access pattern. + +.. [#] Concise Binary Object Representation + + +SQlite allows us to easily query for object existence, and graph information +(relationship between objects) at runtime. It is optimized for infrequent +reading access. The goal is to move most of SQLite information resolving step at +the installation time (such as looking for inter-libraries links). SQLite is +less strongly typed than other relational or graph database and needs custom +logic, but is ubiquitous on all systems and does not need a separate server +process. + +CBOR is a more space efficient alternative to JSON. In particular keys in IRD +are often highly redundant, and can be highly optimised when using CBOR. +Storing IRD in CBOR thus reduces disk usage and can also allow faster +deserialization without requiring potentially CPU intensive +compression/decompression, which seem a good compromised for potentially low +performance user machines. + +Raw storage is used for binary blobs which needs to be accesses without further +processing, typically images. This permits access with standard tools like image +viewers. + +Finally, access to all of these resources is provided via an internal +``GraphStore`` API which is agnostic of the backend, but ensures consistency of +operations like adding/removing/replacing documents. + +.. figure:: graphstore.png + + Local implementation of papyri stores informations in 3 different format depending on + access patterns. A SQLite database for relationship information, on-disk CBOR + files for more compact storate of IRD, and RAW files (e.g. Images). A `GraphStore` + API abstract those access and takes care of maintinaing consistency. :label:`GraphStore` + + +Depending on the context where documentation is rendered and viewed, those +choices should be adapted. For example an online archive to browse documentation +for multiple projects and versions would likely decide to use an actual graph +database for object relation ship, and store other files on a CDN or blob +storage for random access. Documentation Rendering ----------------------- diff --git a/papers/bussonnier/recup.svg b/papers/bussonnier/recup.svg new file mode 100644 index 0000000000..fedb1e01dd --- /dev/null +++ b/papers/bussonnier/recup.svg @@ -0,0 +1,3146 @@ + + + +.ird + + + + + + + + + + + + + + +......1234 From b4b7545c6adc8dafb7dde339e2acd3c469a41d4c Mon Sep 17 00:00:00 2001 From: Matthias Bussonnier Date: Tue, 14 Jun 2022 14:53:33 +0200 Subject: [PATCH 35/40] major rework on current implementation section --- papers/bussonnier/papyri.rst | 48 ++++++++++++++++++++++++++++++------ 1 file changed, 41 insertions(+), 7 deletions(-) diff --git a/papers/bussonnier/papyri.rst b/papers/bussonnier/papyri.rst index da8500586b..cf6ccbf966 100644 --- a/papers/bussonnier/papyri.rst +++ b/papers/bussonnier/papyri.rst @@ -352,17 +352,51 @@ values such as indexing, searching, bookmarks and others, as seen in rustsdocs, Current implementation ++++++++++++++++++++++ -We present here some of the choices made in the current Papyri implementation. +We present here some of the technological choices made in the current Papyri +implementation. The current implementation is targeting only a subset of +projects and users that could make use of IRD, and are thus highly opinionated +in order to minimise current scope and development effort. Understanding the +implementation should also not be necessary to use Papyri either as a maintainer +or a user, but can help understanding some of the current limitation. +Nothing prevent alternatives and complementary implementations with different +choices. As long as other implementations also produce (or consume) IRD bundles, +they should be perfectly compatible and work together. -IRD files generation --------------------- +The following sections are thus mostly informative to understand the state of +the current code base. In particular we are mostly interested into: + +- Producing IRD bundle for the core scientific Python Projects (Numpy, SciPy, + matplotlib...) +- Rendering IRD documentation for a single user on their local machine. -For now, the current implementation of Papyri only supports Sphinx, RST and Numpydoc. These are widely used by a majority of the core scientific Python ecosystem, and are compatible with IRD files and bundles (which are at the center of Papyri). Future work includes extensions to be compatible with MyST. +Some of the technological choices also do not have other justification than the +main developer having interests in them. + +IRD files generation +-------------------- -The project uses `tree-sitter` and `tree-sitter-rst` to parse RST syntax. "Abstract syntax tree" (AST) nodes contain offset bytes to the original buffer, then tree-sitter allows us to easily "unparse" an AST node when necessary. This is relatively -convenient for handling custom directives and limit cases (for instance, when projects rely on a loose definition of the RST syntax). Let us provide an example: RST directives are usually of the form:: +For now, the current implementation of Papyri only targets some compatibility +with Sphinx (a website and PDF documentation builder), reStructuredText (RST) as +narrative documentation syntax and Numpydoc (both a project and standard for +docstring formatting) as docstring format. + +These are widely used by a majority of the core scientific Python ecosystem, and +thus having Papyri and IRD bundles compatible with existing project is a +critical goal. We estimate that currently about 85% to 90% of current +documentation pages currently being built with Sphinx, Rst and Numdoc works can +be built with Papyri. Future work includes extensions to be compatible with MyST +(a project to bring Markdown syntax to Sphinx). + +To understand RST Syntax in narrative documentation, RST documents need to be parsed. +To do so Papyri uses `tree-sitter` and `tree-sitter-rst` projects, allowing us to +extract an "Abstract syntax tree" (AST) from the text files. When using +tree-sitter, AST nodes contain bytes-offsets into the original text buffer. Thus +tree-sitter allowing us to easily "unparse" an AST node when necessary. This is +relatively convenient for handling custom directives and limit cases (for +instance, when projects rely on a loose definition of the RST syntax). Let us +provide an example: RST directives are usually of the form:: .. directive:: arguments @@ -377,7 +411,7 @@ and unparse to the raw text only if the directive requires it. Serialisation of data structure into IRD files is currently using a custom -serialiser. Future work includes swapping to msgspec [msgspec]_. The AST objects are completely typed, however they contain a number of unions and sequences of unions. It turns out, many frameworks like ``pydantic`` do not support sequences of unions where each item in the union may be of a different type. +serialiser. Future work includes maybe swapping to msgspec [msgspec]_. The AST objects are completely typed, however they contain a number of unions and sequences of unions. It turns out, many frameworks like ``pydantic`` do not support sequences of unions where each item in the union may be of a different type. The current Papyri strategy is to type-infer all code examples with `Jedi`, and pre-syntax highlight using `pygments` when possible. From 5e6c5902a6428cef59f94a96414c7bc3d4745477 Mon Sep 17 00:00:00 2001 From: Matthias Bussonnier Date: Tue, 14 Jun 2022 15:07:15 +0200 Subject: [PATCH 36/40] Extend on network graph --- papers/bussonnier/papyri.rst | 18 +++++++++++++++--- 1 file changed, 15 insertions(+), 3 deletions(-) diff --git a/papers/bussonnier/papyri.rst b/papers/bussonnier/papyri.rst index cf6ccbf966..8f94ae5f83 100644 --- a/papers/bussonnier/papyri.rst +++ b/papers/bussonnier/papyri.rst @@ -506,6 +506,18 @@ walking through the IRD AST tree, and rendering each node with users' preference version of `flask` [flask]_. This option contains the most features, and therefore is the main one used for development. This environment lets us iterate over the rendering engine rapidly. + We used this serve to explore the User Interface design and navigation. In + particular we found that a list of back references has limited uses, as it is + difficult to judge the relevance of back references, or their relationship + with each other, and we are playing with a network graph rendering :ref:`localgraph` + of back references, and found that is seem to help with finding cluster or + similar information. This representation also have challenges when pages have + a large number of back references as the graph become too busy. + + We've experience here one of the advantage of the papyri architecture, + creating this network graph did not require any regeneration of the documentation. + We only had to update the template and re-render the current page. + - A static AOT rendering of all the existing pages that can be rendered ahead of time uses the same class as the JIT rendering. Basically, this loops through all entries in the SQLite database and renders each item independently. This renderer is mostly used for exhaustive testing and performance measures for Papyri. This can render most of the API documentation of IPython, `Astropy`, `Dask`, `Distributed`, `Matplotlib`, `Networkx`, NumPy, `Pandas`, Papyri, SciPy, `Scikit-image` and others. It can represent ~28000 pages in ~60 seconds (that is ~450 pages/s on a recent Macbook pro M1). @@ -528,13 +540,13 @@ extension can be seen in Figure :ref:`jlab`. :scale: 80% - Example of extended view of the Papyri documentation for Jupyterlab extension (here for SciPy). Code examples can now include plots. Most token in each examples are linked to the corresponding page. Early navigation bar is visible at the top. :label:`jlab` + Example of extended view of the Papyri documentation for Jupyterlab extension (here for SciPy). Code examples can now include plots. Most token in each examples are linked to the corresponding page. Early navigation bar is visible at the top. :label:`jlab` .. figure:: local-graph.png - Local graph (made with D3.js [D3js]_) representing the connections among the most important nodes around ``numpy.ndarray``. Nodes - are sized with respect to the number of incomming links, and colored with respect to their library. + Local graph (made with D3.js [D3js]_) representing the connections among the most important nodes around current page. Here when viewing ``numpy.ndarray``. + Nodes are sized with respect to the number of incomming links, and colored with respect to their library. This graph is generated at render-time, and updates depending on the currently installed libraries, it can be conveninent to find related function and documentation, but can be challenging to read for highly connected items as seem here for ``numpy.ndarray``. :label:`localgraph` Challenges From b1129c7cd24b2c3fd39f7585a80af09ce8d801ad Mon Sep 17 00:00:00 2001 From: Matthias Bussonnier Date: Tue, 14 Jun 2022 15:13:29 +0200 Subject: [PATCH 37/40] Add multiple reference reference and citations --- papers/bussonnier/papyri.rst | 196 ++++++++++++++++++++--------------- 1 file changed, 112 insertions(+), 84 deletions(-) diff --git a/papers/bussonnier/papyri.rst b/papers/bussonnier/papyri.rst index 8f94ae5f83..78c7c3494b 100644 --- a/papers/bussonnier/papyri.rst +++ b/papers/bussonnier/papyri.rst @@ -32,7 +32,7 @@ Papyri: better documentation for the scientific ecosystem in Jupyter Introduction ++++++++++++ -Over the past decades, the Python ecosystem has grown rapidly, and one of the +Over the past decades, the *Python* ecosystem has grown rapidly, and one of the last bastion where some of the proprietary competition tools shine is integrated documentation. Indeed, open-source libraries are usually developed in distributed settings that can make it hard to develop coherent and integrated @@ -93,13 +93,13 @@ flesh and blood machine between the keyboard and the chair. Current tools and limitations ----------------------------- -In the scientific Python ecosystem, it is well known that Docutils [docutils]_ -and Sphinx [sphinx]_ are major cornerstones for publishing html documentation +In the scientific Python ecosystem, it is well known that *Docutils* [docutils]_ +and *Sphinx* [sphinx]_ are major cornerstones for publishing html documentation for Python. In fact, they are used by all the libraries in this ecosystem. While a few alternatives exist, most tools and services have some internal knowledge of -Sphinx. For instance, `Read the Docs` [RTD]_ provides a specific Sphinx theme -[RTD-theme]_ users can opt-in to, `Jupyter-book` is built on top of Sphinx, and -`MyST` parser [MYST]_ (which is made to allow markdown in documentation) +*Sphinx*. For instance, Read the Docs [RTD]_ provides a specific Sphinx theme +[RTD-theme]_ users can opt-in to, `*Jupyter-book*` is built on top of Sphinx, and +*MyST* parser [MYST]_ (which is made to allow markdown in documentation) targets Sphinx as a backend, to name a few. All of the above provide an "ahead-of-time" documentation compilation and rendering, which is slow and computationally intensive. When a project needs its specific plugins, extensions @@ -107,15 +107,16 @@ and configurations to properly build (which is almost always the case), it is relatively difficult to build documentation for a single object (like a single function, module or class). This makes AOT tools difficult to use for interactive exploration. One can then consider a JIT approach, as done -for `Docrepr` (integrated both in `Jupyter` and `Spyder`). However in that case, +for `*Docrepr*` (integrated both in `Jupyter` and *Spyder* [Spyder]_). However in that case, interactive documentation lacks inline plots, crosslinks, indexing, search and many custom directives. Some of the above limitations are inherent to the design of documentation build -tools that were intended for a separate documentation construction. While Sphinx does -provide features like `intersphinx`, link resolutions are done at the documentation +tools that were intended for a separate documentation construction. While +*Sphinx* does +provide features like *intersphinx*, link resolutions are done at the documentation building phase. Thus, this is inherently unidirectional, and can break easily. -To illustrate this, we consider `NumPy` and `SciPy`, two extremely close +To illustrate this, we consider *NumPy* [NP]_ and *SciPy* [SP]_, two extremely close libraries. In order to obtain proper cross-linked documentation, one is required to perform at least five steps: @@ -129,7 +130,7 @@ steps: - rebuild NumPy docs to make use of SciPy's ``obj.inv`` -Only then can both SciPy's and NumPy's documentation refer to each other. As one can expect, crosslinks break every time a new version of a library is published [#]_. Pre-produced html in IDEs and other tools are then prone to error and difficult to maintain. This also raises security issues: some institutions become reluctant to use tools like `Docrepr` or viewing pre-produced html. +Only then can both SciPy's and NumPy's documentation refer to each other. As one can expect, cross links break every time a new version of a library is published [#]_. Pre-produced html in IDEs and other tools are then prone to error and difficult to maintain. This also raises security issues: some institutions become reluctant to use tools like `*Docrepr*` or viewing pre-produced html. .. [#] `ipython/ipython#12210 `_, `numpy/numpy#21016 `_, `& #29073 `_ @@ -137,11 +138,11 @@ Only then can both SciPy's and NumPy's documentation refer to each other. As one Docstrings format ----------------- -The `Numpydoc` format is ubiquitous among the scientific ecosystem [NPDOC]_. It -is loosely based on RST syntax, and despite supporting full RST syntax, +The *Numpydoc* format is ubiquitous among the scientific ecosystem [NPDOC]_. It +is loosely based on *RST* syntax, and despite supporting full RST syntax, docstrings rarely contain full-featured directive. Maintainers are confronted to the following dilemma: -- keep the docstrings simple. This means mostly text-based docstrings with few directive for efficient readability. The end-user may be exposed to raw docstring, there is no on-the-fly directive interpretation. This is the case for tools such as IPython and Jupyter. +- keep the docstrings simple. This means mostly text-based docstrings with few directive for efficient readability. The end-user may be exposed to raw docstring, there is no on-the-fly directive interpretation. This is the case for tools such as *IPython* and *Jupyter*. - write an extensive docstring. This includes references, and directive that potentially creates graphics, tables and more, allowing an enriched end-user experience. However this may be computationally intensive, and executing code to view docs could be a security risk. @@ -172,9 +173,9 @@ at. That is to say single-project websites where appearance, layout, domain need controlled by the author is not part of the objectives. **Goal (b): create a uniform documentation structure and syntax.** -The Papyri project prescribes stricter requirements in terms of format and structure compared to other tools such as Docutils and Sphinx. When possible, the documentation follows the Diátaxis Framework [DT]_. This provides a uniform documentation setup and syntax, simplifying contributions to the project and easing error catching at compile time. +The Papyri project prescribes stricter requirements in terms of format and structure compared to other tools such as Docutils and Sphinx. When possible, the documentation follows the *Diátaxis* Framework [DT]_. This provides a uniform documentation setup and syntax, simplifying contributions to the project and easing error catching at compile time. Such strict environment is qualitatively supported by a number of documentation fixes done upstream during the development stage of the project [#]_. -Since Papyri is not fully customisable, users who are already using documentation tools such as Sphinx, mkdocs [mkdocs]_ and others should expect their project to require minor modifications to work with Papyri. +Since Papyri is not fully customisable, users who are already using documentation tools such as Sphinx, *mkdocs* [mkdocs]_ and others should expect their project to require minor modifications to work with Papyri. .. [#] Tests have been performed on `NumPy `_, `SciPy `_. @@ -183,14 +184,14 @@ Since Papyri is not fully customisable, users who are already using documentatio Accessibility is a top priority of the project. To that aim, items are associated to semantic meaning as much as possible, and documentation rendering is separated from documentation building phase. That way, accessibility features such as high contract themes (for better text-to-speech (TTS) raw data), early example highlights (for newcomers) and type annotation (for advanced users) can be quickly available. With the uniform documentation structure, this provides a coherent experience where users become more comfortable finding information in a single location (see Fig :ref:`oldnew`). **Goal (d): make documentation building simple, fast, and independent.** -One objective of the project is to make documentation installation and rendering relatively straightforward and fast. To that aim, the project includes relative independence of documentation building across libraries, allowing bidirectional crosslinks (i.e. both forward and backward links between pages) to be maintained more easily. In other words, a single library can be built without the need to access documentation from another. Also, the project should include straightforward lookup documentation for an object from the +One objective of the project is to make documentation installation and rendering relatively straightforward and fast. To that aim, the project includes relative independence of documentation building across libraries, allowing bidirectional cross links (i.e. both forward and backward links between pages) to be maintained more easily. In other words, a single library can be built without the need to access documentation from another. Also, the project should include straightforward lookup documentation for an object from the interactive read–eval–print loop (REPL). Finally, efforts are put to limit the installation speed (to avoid polynomial growth when installing packages on large distributed systems). .. **TO MB: should IRD be introduced in this section then ??** .. MB: I dont' think so, as IRD is not a goal but a solution ? The Papyri solution -+++++++++++++++++++ ++++++++++++++++++++++ In this section we describe in more detail how Papyri has been implemented to address the objectives mentioned above. @@ -213,7 +214,7 @@ library currently being built. This is the case for example for the use of ``.. code-block:``, or custom ``:rc:`` directive. The second one offers a more user friendly environment. For example, `sphinx-copybutton` [sphinx-copybutton]_ adds a button to easily copy code snippets in a single -click, and `pydata-sphinx-theme` or `sphinx-rtd-dark-mode` [pydata-sphinx-theme]_ provide a different +click, and `pydata-sphinx-theme` [pydata-sphinx-theme]_ or `sphinx-rtd-dark-mode` provide a different appearance. As a consequence, developers must make choices on behalf of their end-users: this may concern syntax highlights, type annotations display, light/dark theme. @@ -259,7 +260,7 @@ At the moment, IRD files are currently separated into four main categories roughly following the Diátaxis framework [DT]_ and some technical needs: - API files describe the documentation for a single object, expressed as a - `Json` object. When possible, the information is encoded semantically (Objective (c)). + *JSON* object. When possible, the information is encoded semantically (Objective (c)). Files are organized based on the fully-qualified name of the Python object they reference, and contain either absolute reference to another object (library, version and identifier), or delayed references to objects that may @@ -273,8 +274,8 @@ roughly following the Diátaxis framework [DT]_ and some technical needs: three ones. They are the only ones that contain backward references, and no forward references. In addition to the four categories above, metadata about the current package is -stored: this includes library name, current version, PyPi name, GitHub repository slug [#]_, maintainers' names, -logo, issue tracker and others. In particular, metadata allows us to autogenerate +stored: this includes library name, current version, *PyPi* name, *GitHub* repository slug [#]_, maintainers' names, +logo, issue tracker and others. In particular, metadata allows us to auto-generate links to issue trackers, and to source files when rendering. In order to properly resolve some references and normalize links convention, we also store a mapping from fully qualified names to canonical ones. @@ -283,7 +284,7 @@ In order to properly resolve some references and normalize links convention, we repository on a platform like GitHub. The exact structure of package metadata is not yet defined, we currently limit -it to the minimum functional. While we could adopt formats like codemeta +it to the minimum functional. While we could adopt formats like *codemeta* [CODEMETA]_, we want to avoid duplicating information, and would prefer to rely on metadata already present in the published packages, or extracting from source repository GitHub. @@ -356,15 +357,15 @@ We present here some of the technological choices made in the current Papyri implementation. The current implementation is targeting only a subset of projects and users that could make use of IRD, and are thus highly opinionated in order to minimise current scope and development effort. Understanding the -implementation should also not be necessary to use Papyri either as a maintainer -or a user, but can help understanding some of the current limitation. +implementation should also **not** be **necessary to use** *Papyri* either as a maintainer +or as a user, but can help understanding some of the current limitation. Nothing prevent alternatives and complementary implementations with different choices. As long as other implementations also produce (or consume) IRD bundles, they should be perfectly compatible and work together. The following sections are thus mostly informative to understand the state of -the current code base. In particular we are mostly interested into: +the current code base. In particular we restricted ourselves to: - Producing IRD bundle for the core scientific Python Projects (Numpy, SciPy, matplotlib...) @@ -372,29 +373,30 @@ the current code base. In particular we are mostly interested into: Some of the technological choices also do not have other justification than the -main developer having interests in them. +main developer having interests in them, or making iteration on IRD format and +main code base fast. IRD files generation -------------------- -For now, the current implementation of Papyri only targets some compatibility +The current implementation of Papyri only targets some compatibility with Sphinx (a website and PDF documentation builder), reStructuredText (RST) as narrative documentation syntax and Numpydoc (both a project and standard for -docstring formatting) as docstring format. +docstring formatting). These are widely used by a majority of the core scientific Python ecosystem, and thus having Papyri and IRD bundles compatible with existing project is a critical goal. We estimate that currently about 85% to 90% of current -documentation pages currently being built with Sphinx, Rst and Numdoc works can -be built with Papyri. Future work includes extensions to be compatible with MyST -(a project to bring Markdown syntax to Sphinx). +documentation pages currently being built with Sphinx, RST and Numpydoc works can +be built with Papyri. Future work includes extensions to be compatible with *MyST* +(a project to bring *Markdown* syntax to Sphinx), but is not a priority. To understand RST Syntax in narrative documentation, RST documents need to be parsed. -To do so Papyri uses `tree-sitter` and `tree-sitter-rst` projects, allowing us to -extract an "Abstract syntax tree" (AST) from the text files. When using +To do so Papyri uses tree-sitter [TS]_ and tree-sitter-rst [TSRST]_ projects, allowing us to +extract an "Abstract Syntax Tree" (AST) from the text files. When using tree-sitter, AST nodes contain bytes-offsets into the original text buffer. Thus tree-sitter allowing us to easily "unparse" an AST node when necessary. This is -relatively convenient for handling custom directives and limit cases (for +relatively convenient for handling custom directives and edge cases (for instance, when projects rely on a loose definition of the RST syntax). Let us provide an example: RST directives are usually of the form:: @@ -411,15 +413,19 @@ and unparse to the raw text only if the directive requires it. Serialisation of data structure into IRD files is currently using a custom -serialiser. Future work includes maybe swapping to msgspec [msgspec]_. The AST objects are completely typed, however they contain a number of unions and sequences of unions. It turns out, many frameworks like ``pydantic`` do not support sequences of unions where each item in the union may be of a different type. +serialiser. Future work includes maybe swapping to msgspec [msgspec]_. The AST objects are completely typed, however they contain a number of unions and sequences of unions. It turns out, many frameworks like ``*pydantic*`` do not support sequences of unions where each item in the union may be of a different type. +We know of only a few other documentation related project that treat AST as an intermediate +object with a stable format that can be manipulated by external tools, the most +popular one being Pandoc [pandoc]_, a project meant to convert from many type of +documents to many other. -The current Papyri strategy is to type-infer all code examples with `Jedi`, and pre-syntax highlight using `pygments` when possible. +The current Papyri strategy is to type-infer all code examples with *Jedi* [JEDI]_, and pre-syntax highlight using `pygments` when possible. IRD File Installation --------------------- -Download and installation of IRD files is done concurrently using ``httpx``, -with ``trio`` as an async framework, allowing us to download files concurrently. +Download and installation of IRD files is done concurrently using *httpx* [httpx]_, +with *trio* [trio]_ as an async framework, allowing us to download files concurrently. The current implementation of Papyri targets Python documentation and is written in Python. We can then query the existing version of Python libraries @@ -429,9 +435,9 @@ exact version number is missing from the install command. With our current implementation IRD bundle are post-processed and stored in a different format for later just in time rendering. This is done purely for -convenience and performance reasons for local usage. +convenience and performance reasons in the case of local usage. -For local rendering, we mostly need to the following operations:: +For local rendering, we mostly need to the following operations: 1. Querying graph informations about cross links across documents. 2. Rendering of a single page. @@ -449,23 +455,25 @@ access pattern. .. [#] Concise Binary Object Representation -SQlite allows us to easily query for object existence, and graph information +*SQLite* allows us to easily query for object existence, and graph information (relationship between objects) at runtime. It is optimized for infrequent -reading access. The goal is to move most of SQLite information resolving step at -the installation time (such as looking for inter-libraries links). SQLite is +reading access currently many queries are done at runtime, when rendering +documentation. The goal is to move most of *SQLite* information resolving step at +the installation time (such as looking for inter-libraries links) once the +codebase and IRD format have stabilized. SQLite is less strongly typed than other relational or graph database and needs custom logic, but is ubiquitous on all systems and does not need a separate server -process. +process, making it an easy choice of database. -CBOR is a more space efficient alternative to JSON. In particular keys in IRD -are often highly redundant, and can be highly optimised when using CBOR. +*CBOR* is a more space efficient alternative to JSON. In particular keys in IRD +are often highly redundant, and can be highly optimised when using *CBOR*. Storing IRD in CBOR thus reduces disk usage and can also allow faster deserialization without requiring potentially CPU intensive compression/decompression, which seem a good compromised for potentially low performance user machines. Raw storage is used for binary blobs which needs to be accesses without further -processing, typically images. This permits access with standard tools like image +processing, typically images. This also permits access with standard tools like image viewers. Finally, access to all of these resources is provided via an internal @@ -474,7 +482,7 @@ operations like adding/removing/replacing documents. .. figure:: graphstore.png - Local implementation of papyri stores informations in 3 different format depending on + Local implementation of Papyri stores informations in 3 different format depending on access patterns. A SQLite database for relationship information, on-disk CBOR files for more compact storate of IRD, and RAW files (e.g. Images). A `GraphStore` API abstract those access and takes care of maintinaing consistency. :label:`GraphStore` @@ -482,8 +490,9 @@ operations like adding/removing/replacing documents. Depending on the context where documentation is rendered and viewed, those choices should be adapted. For example an online archive to browse documentation -for multiple projects and versions would likely decide to use an actual graph -database for object relation ship, and store other files on a CDN or blob +for multiple projects and versions may decide to use an actual graph +database for object relation ship, and store other files on a Content Delivery +Network or blob storage for random access. Documentation Rendering @@ -493,34 +502,39 @@ The current Papyri implementation includes a certain number of rendering engines of them mostly consists of fetching a single page with its metadata, and walking through the IRD AST tree, and rendering each node with users' preferences. -- An ASCII terminal renders using `Jinja2`. This can be useful for piping +- An ASCII terminal renders using *Jinja2* [Jinja2]_. This can be useful for piping documentation to other tools like ``grep``, ``less``, ``cat``. Then one can work in a highly restricted environment, making sure that reading the documentation is coherent. This can serve as a proxy for screen reading. - A Textual User Interface browser renders using `urwid`. Navigation within the - terminal is possible, one can reflow long lines on resized windows, and even open image files in external editors. Nonetheless, several bugs have been encountered in urwid. The project aims at replacing the - CLI IPython ``?`` interface (which currently only shows raw docstrings) in urwid with a new one written with Rich/Textual. - -- A JIT rendering engine uses Jinja2, `Quart`, `Trio`. Quart is an async - version of `flask` [flask]_. This option contains the most features, and therefore is the + terminal is possible, one can reflow long lines on resized windows, and even + open image files in external editors. Nonetheless, several bugs have been + encountered in urwid. The project aims at replacing the CLI IPython *question + mark* (``obj?``) interface (which currently only shows raw docstrings) in + urwid with a new one written with *Rich*/*Textual*. For this interface, + having images stored raw on disk is useful as it allows us to directly call + into a system image viewer to display them. + +- A JIT rendering engine uses *Jinja2*, *Quart* [quart]_, Trio. Quart is an async + version of *flask* [flask]_. This option contains the most features, and therefore is the main one used for development. This environment lets us iterate over the rendering engine rapidly. - We used this serve to explore the User Interface design and navigation. In + We used this renderer to explore the User Interface design and navigation. In particular we found that a list of back references has limited uses, as it is difficult to judge the relevance of back references, or their relationship - with each other, and we are playing with a network graph rendering :ref:`localgraph` - of back references, and found that is seem to help with finding cluster or + with each other. We are playing with a network graph visualisation (Fig :ref:`localgraph`)) + of back references, and found that is seem to help with finding cluster of similar information. This representation also have challenges when pages have a large number of back references as the graph become too busy. - We've experience here one of the advantage of the papyri architecture, - creating this network graph did not require any regeneration of the documentation. + We've experience here one of the advantage of the Papyri architecture, + creating this network visualization did not require any regeneration of the documentation. We only had to update the template and re-render the current page. - A static AOT rendering of all the existing pages that can be rendered ahead of time uses the same class as the JIT rendering. Basically, this loops through all entries in the SQLite database and renders - each item independently. This renderer is mostly used for exhaustive testing and performance measures for Papyri. This can render most of the API documentation of IPython, `Astropy`, `Dask`, `Distributed`, `Matplotlib`, `Networkx`, NumPy, `Pandas`, Papyri, SciPy, `Scikit-image` and others. It can represent ~28000 pages in ~60 seconds (that is ~450 pages/s on a recent Macbook pro M1). + each item independently. This renderer is mostly used for exhaustive testing and performance measures for *Papyri*. This can render most of the API documentation of IPython, `*Astropy*`, `*Dask*`, `*Distributed*`, *Matplotlib* [MPL]_ [MPL-DOI]_, `*Networkx*`, NumPy [NP]_, `Pandas`, Papyri, SciPy, `Scikit-image` and others. It can represent ~28000 pages in ~60 seconds (that is ~450 pages/s on a recent Macbook pro M1). For all of the above renderers, profiling shows that documentation rendering is @@ -530,9 +544,9 @@ compiled language (like Rust, using compiled and typed checked templates). This Finally, a JupyterLab extension is currently in progress. The documentation then presents itself as -a side-panel and is capable of basic browsing and rendering (see Figure :ref:`oldnew` and Figure :ref:`jlab`). The model uses typescript, +a side-panel and is capable of basic browsing and rendering (see Figure :ref:`oldnew` and Figure :ref:`jlab`). The model uses *typescript*, react and native JupyterLab component. Future goals include improving/replacing the -JupyterLab's ``?`` and the JupyterLab Inspector (when possible). A screenshot of the current development version of the JupyterLab +*JupyterLab*'s question mark operator (``obj?``) and the JupyterLab Inspector (when possible). A screenshot of the current development version of the JupyterLab extension can be seen in Figure :ref:`jlab`. @@ -545,7 +559,7 @@ extension can be seen in Figure :ref:`jlab`. .. figure:: local-graph.png - Local graph (made with D3.js [D3js]_) representing the connections among the most important nodes around current page. Here when viewing ``numpy.ndarray``. + Local graph (made with D3.js [D3js]_) representing the connections among the most important nodes around current page across many libraries. Here when viewing ``numpy.ndarray``. Nodes are sized with respect to the number of incomming links, and colored with respect to their library. This graph is generated at render-time, and updates depending on the currently installed libraries, it can be conveninent to find related function and documentation, but can be challenging to read for highly connected items as seem here for ``numpy.ndarray``. :label:`localgraph` @@ -582,7 +596,7 @@ The decoupling of the building and rendering phases is key in Papyri. However, i - Fully qualified names are often not canonical names (i.e. the name typically used for import). While we made efforts to create a mapping from one to another, finding the canonical name automatically is not always straightforward. - There are also challenges with case sensitivity. For example for - MacOS file systems, a couple of objects may unfortunately refer to the same IRD file + *MacOS* file systems, a couple of objects may unfortunately refer to the same IRD file on disk. To address this, a case-sensitive hash is appended at the end of the filename. - Many libraries have a syntax that `looks` right once rendered to HTML while not following proper syntax, or a syntax that relies on specificities of Docutils and Sphinx @@ -626,7 +640,7 @@ two versions. Conclusion ++++++++++ -To address some of the current limitations in documentation accessibility, building and maintaining, we have provided a new documentation framework called Papyri. We presented its features and underlying implementation choices (such as crosslink maintainance, decoupling building and rendering phases, enriching the rendering features, using the IRD format to create a unified syntax structure, etc.). While the project is still at its early stage, clear impacts can already be seen on the availability of high-quality documentation for end-users, and on the workload reduction for maintainers. Building IRD format opened a wide range of technical possibilities, and contributes to improving users' experience (and therefore the success of the scientific Python ecosystem). This may become necessary for users to navigate in an exponentially growing +To address some of the current limitations in documentation accessibility, building and maintaining, we have provided a new documentation framework called Papyri. We presented its features and underlying implementation choices (such as crosslink maintenance, decoupling building and rendering phases, enriching the rendering features, using the IRD format to create a unified syntax structure, etc.). While the project is still at its early stage, clear impacts can already be seen on the availability of high-quality documentation for end-users, and on the workload reduction for maintainers. Building IRD format opened a wide range of technical possibilities, and contributes to improving users' experience (and therefore the success of the scientific Python ecosystem). This may become necessary for users to navigate in an exponentially growing ecosystem. Acknowledgments @@ -644,7 +658,7 @@ Funding M. B. received a 2-year grant from the Chan Zuckerberg Initiative (CZI) Essential Open Source Software for Science (EOS) -– EOSS4-0000000017 via the NumFOCUS 501(3)c non profit to develop the Papyri project. +– EOSS4-0000000017 via the NumFOCUS 501(3)c non profit to develop the *Papyri* project. @@ -661,7 +675,8 @@ Initiative (CZI) Essential Open Source Software for Science (EOS) .. comment: - In this talk we will demo and discuss the work that is being done on Papyri, a + In this talk we will demo and discuss the work that is being done on + *Papyri*, a new framework to provide rich documentation in Jupyter and Terminal IPython with plots, crosslink, equations. We will describe how libraries can opt-in to this new framework while still in beta to provide feedback, what are the trade-off of using it, the current @@ -697,24 +712,37 @@ Initiative (CZI) Essential Open Source Software for Science (EOS) References ---------- -.. [docutils] https://docutils.sourceforge.io/ -.. [sphinx] https://www.sphinx-doc.org/en/master/ -.. [mkdocs] https://www.mkdocs.org/ -.. [RTD] https://readthedocs.org/ -.. [RTD-theme] https://sphinx-rtd-theme.readthedocs.io/en/stable/ .. [AOT] https://en.wikipedia.org/wiki/Ahead-of-time_compilation -.. [JIT] https://en.wikipedia.org/wiki/Just-in-time_compilation +.. [CFRG] conda-forge community. (2015). The conda-forge Project: Community-based Software Distribution Built on the conda Package Format and Ecosystem. Zenodo. http://doi.org/10.5281/zenodo.4774216 +.. [CODEMETA] https://codemeta.github.io/ +.. [D3js] https://d3js.org/ +.. [DT] https://diataxis.fr/ .. [IR] https://en.wikipedia.org/wiki/Intermediate_representation +.. [JEDI] https://github.com/davidhalter/jedi +.. [JIT] https://en.wikipedia.org/wiki/Just-in-time_compilation +.. [Jinja2] https://jinja.palletsprojects.com/ .. [LTO] https://en.wikipedia.org/wiki/Interprocedural_optimization -.. [DT] https://diataxis.fr/ -.. [CFRG] https://conda-forge.org/ +.. [MPL-DOI] https://doi.org/10.5281/zenodo.6513224 +.. [MPL] J.D. Hunter, "Matplotlib: A 2D Graphics Environment", Computing in Science & Engineering, vol. 9, no. 3, pp. 90-95, 2007, .. [MYST] https://myst-parser.readthedocs.io/en/latest/ .. [NPDOC] https://numpydoc.readthedocs.io/en/latest/format.html -.. [SCU] https://en.wikipedia.org/wiki/Single_Compilation_Unit +.. [NP] Harris, C.R., Millman, K.J., van der Walt, S.J. et al. Array programming with NumPy. Nature 585, 357–362 (2020). DOI: 10.1038/s41586-020-2649-2 .. [Papyri] https://github.com/jupyter/papyri -.. [sphinx-copybutton] https://sphinx-copybutton.readthedocs.io/en/latest/ -.. [pydata-sphinx-theme] https://pydata-sphinx-theme.readthedocs.io/en/stable/ -.. [msgspec] https://pypi.org/project/msgspec -.. [D3js] https://d3js.org/ +.. [RTD-theme] https://sphinx-rtd-theme.readthedocs.io/en/stable/ +.. [RTD] https://readthedocs.org/ +.. [SCU] https://en.wikipedia.org/wiki/Single_Compilation_Unit +.. [SP] Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J. van der Walt, Matthew Brett, Joshua Wilson, K. Jarrod Millman, Nikolay Mayorov, Andrew R. J. Nelson, Eric Jones, Robert Kern, Eric Larson, CJ Carey, İlhan Polat, Yu Feng, Eric W. Moore, Jake VanderPlas, Denis Laxalde, Josef Perktold, Robert Cimrman, Ian Henriksen, E.A. Quintero, Charles R Harris, Anne M. Archibald, Antônio H. Ribeiro, Fabian Pedregosa, Paul van Mulbregt, and SciPy 1.0 Contributors. (2020) SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python. Nature Methods, 17(3), 261-272. 10.1038/s41592-019-0686-2 +.. [Spyder] https://www.spyder-ide.org/ +.. [TSRST] https://github.com/stsewd/tree-sitter-rst +.. [TS] https://tree-sitter.github.io/tree-sitter/ +.. [docutils] https://docutils.sourceforge.io/ .. [flask] https://flask.palletsprojects.com/en/2.1.x/ -.. [CODEMETA] https://codemeta.github.io/ +.. [httpx] https://www.python-httpx.org/ +.. [mkdocs] https://www.mkdocs.org/ +.. [msgspec] https://pypi.org/project/msgspec +.. [pandoc] https://pandoc.org/ +.. [pydata-sphinx-theme] https://pydata-sphinx-theme.readthedocs.io/en/stable/ +.. [quart] https://pgjones.gitlab.io/quart/ +.. [sphinx-copybutton] https://sphinx-copybutton.readthedocs.io/en/latest/ +.. [sphinx] https://www.sphinx-doc.org/en/master/ +.. [trio] https://trio.readthedocs.io/ From 80a48d17374525eab1fbcf3b60f3931f29b25198 Mon Sep 17 00:00:00 2001 From: Matthias Bussonnier Date: Wed, 15 Jun 2022 11:14:48 +0200 Subject: [PATCH 38/40] finish citation --- papers/bussonnier/papyri.rst | 49 ++++++++++++++++++++---------------- 1 file changed, 28 insertions(+), 21 deletions(-) diff --git a/papers/bussonnier/papyri.rst b/papers/bussonnier/papyri.rst index 78c7c3494b..0d9ceefd39 100644 --- a/papers/bussonnier/papyri.rst +++ b/papers/bussonnier/papyri.rst @@ -60,7 +60,7 @@ possible. On the maintainers' side, the final documentation rendering is less of priority. Rather, maintainers should aim at making users gain from improvement in the rendering without having to rebuild all the docs. -Conda-forge [CFRG]_ has shown that concerted efforts can +Conda-Forge [CFRG]_ has shown that concerted efforts can give a much better experience to end-users, and in today's world where it is ubiquitous to share libraries source on code platforms, perform continuous integration and many other tools, we believe a better documentation framework for many of the libraries of the scientific Python should be available. @@ -98,7 +98,7 @@ and *Sphinx* [sphinx]_ are major cornerstones for publishing html documentation for Python. In fact, they are used by all the libraries in this ecosystem. While a few alternatives exist, most tools and services have some internal knowledge of *Sphinx*. For instance, Read the Docs [RTD]_ provides a specific Sphinx theme -[RTD-theme]_ users can opt-in to, `*Jupyter-book*` is built on top of Sphinx, and +[RTD-theme]_ users can opt-in to, *Jupyter-book* [JPYBOOK]_ is built on top of Sphinx, and *MyST* parser [MYST]_ (which is made to allow markdown in documentation) targets Sphinx as a backend, to name a few. All of the above provide an "ahead-of-time" documentation compilation and rendering, which is slow and @@ -107,7 +107,7 @@ and configurations to properly build (which is almost always the case), it is relatively difficult to build documentation for a single object (like a single function, module or class). This makes AOT tools difficult to use for interactive exploration. One can then consider a JIT approach, as done -for `*Docrepr*` (integrated both in `Jupyter` and *Spyder* [Spyder]_). However in that case, +for *Docrepr* [DOCREPR]_ (integrated both in `Jupyter` and *Spyder* [Spyder]_). However in that case, interactive documentation lacks inline plots, crosslinks, indexing, search and many custom directives. @@ -124,13 +124,13 @@ steps: - publish NumPy ``object.inv`` file. -- build SciPy documentation using NumPy ``obj.inv`` file. +- (re)build SciPy documentation using NumPy ``obj.inv`` file. - publish SciPy ``object.inv`` file -- rebuild NumPy docs to make use of SciPy's ``obj.inv`` +- (re)build NumPy docs to make use of SciPy's ``obj.inv`` -Only then can both SciPy's and NumPy's documentation refer to each other. As one can expect, cross links break every time a new version of a library is published [#]_. Pre-produced html in IDEs and other tools are then prone to error and difficult to maintain. This also raises security issues: some institutions become reluctant to use tools like `*Docrepr*` or viewing pre-produced html. +Only then can both SciPy's and NumPy's documentation refer to each other. As one can expect, cross links break every time a new version of a library is published [#]_. Pre-produced html in IDEs and other tools are then prone to error and difficult to maintain. This also raises security issues: some institutions become reluctant to use tools like *Docrepr* or viewing pre-produced html. .. [#] `ipython/ipython#12210 `_, `numpy/numpy#21016 `_, `& #29073 `_ @@ -147,9 +147,10 @@ docstrings rarely contain full-featured directive. Maintainers are confronted to - write an extensive docstring. This includes references, and directive that potentially creates graphics, tables and more, allowing an enriched end-user experience. However this may be computationally intensive, and executing code to view docs could be a security risk. -Other factors impact this choice: (i) users, (ii) format, (iii) runtime. IDE users or non-Terminal users motivate to push for extensive docstrings, and tools like `Docrepr` can mitigate this problem. However, users are often exposed to raw docstrings (see for example the `SymPy -`_ discussion on how equations should be -displayed in docstrings, and Fig :ref:`oldnew`). In terms of format, markdown is appealing, however inconsistencies in the rendering will be created between libraries. Finally, some libraries can dynamically modify their docstring at runtime. While this avoids using directives, it ends up being more expensive (runtime costs, complex maintenance, and contribution costs). +Other factors impact this choice: (i) users, (ii) format, (iii) runtime. IDE users or non-Terminal users motivate to push for extensive docstrings. Tools like *Docrepr* can mitigate this problem by allowing partial rendering. However, users are often exposed to raw docstrings (see for example the *SymPy* discussion [#]_ on how equations should be +displayed in docstrings, and left panel of Fig :ref:`oldnew`). In terms of format, markdown is appealing, however inconsistencies in the rendering will be created between libraries. Finally, some libraries can dynamically modify their docstring at runtime. While this sometime avoids using directives, it ends up being more expensive (runtime costs, complex maintenance, and contribution costs). + +.. [#] `sympy/sympy#14963 `_ .. figure:: scipy-dpss-old-new.png @@ -164,7 +165,7 @@ Objectives of the project We now layout the objectives of the Papyri documentation framework. Let us emphasize that the project is in no way intended to replace or cover many features included in well-established documentation tools such as Sphinx or Jupyter-book. -Those projects are extremely flexible and meet the needs of their users. The Papyri project addresses specific documentation challenges (mentioned above), we present below what is (and what is not) the scope of work. +Those projects are extremely flexible and meet the needs of their users for publishing of standalone documentation website of PDFs. The Papyri project addresses specific documentation challenges (mentioned above), we present below what is (and what is not) the scope of work. **Goal (a): design a non-generic (non fully customisable) website builder.** When authors want or need complete control of the output and wide @@ -173,7 +174,7 @@ at. That is to say single-project websites where appearance, layout, domain need controlled by the author is not part of the objectives. **Goal (b): create a uniform documentation structure and syntax.** -The Papyri project prescribes stricter requirements in terms of format and structure compared to other tools such as Docutils and Sphinx. When possible, the documentation follows the *Diátaxis* Framework [DT]_. This provides a uniform documentation setup and syntax, simplifying contributions to the project and easing error catching at compile time. +The Papyri project prescribes stricter requirements in terms of format, structure, and syntax compared to other tools such as Docutils and Sphinx. When possible, the documentation follows the *Diátaxis* Framework [DT]_. This provides a uniform documentation setup and syntax, simplifying contributions to the project and easing error catching at compile time. Such strict environment is qualitatively supported by a number of documentation fixes done upstream during the development stage of the project [#]_. Since Papyri is not fully customisable, users who are already using documentation tools such as Sphinx, *mkdocs* [mkdocs]_ and others should expect their project to require minor modifications to work with Papyri. @@ -211,7 +212,7 @@ falls into the following two categories: This first category often requires arbitrary code execution and must import the library currently being built. This is the case for example for the use of ``.. -code-block:``, or custom ``:rc:`` directive. The second one offers a more user +code-block:::``, or custom ``:rc:`` directive. The second one offers a more user friendly environment. For example, `sphinx-copybutton` [sphinx-copybutton]_ adds a button to easily copy code snippets in a single click, and `pydata-sphinx-theme` [pydata-sphinx-theme]_ or `sphinx-rtd-dark-mode` provide a different @@ -357,8 +358,8 @@ We present here some of the technological choices made in the current Papyri implementation. The current implementation is targeting only a subset of projects and users that could make use of IRD, and are thus highly opinionated in order to minimise current scope and development effort. Understanding the -implementation should also **not** be **necessary to use** *Papyri* either as a maintainer -or as a user, but can help understanding some of the current limitation. +implementation is **not necessary to use Papyri** neither as a project maintainer +nor as a user, but can help understanding some of the current limitation. Nothing prevent alternatives and complementary implementations with different choices. As long as other implementations also produce (or consume) IRD bundles, @@ -413,7 +414,7 @@ and unparse to the raw text only if the directive requires it. Serialisation of data structure into IRD files is currently using a custom -serialiser. Future work includes maybe swapping to msgspec [msgspec]_. The AST objects are completely typed, however they contain a number of unions and sequences of unions. It turns out, many frameworks like ``*pydantic*`` do not support sequences of unions where each item in the union may be of a different type. +serialiser. Future work includes maybe swapping to msgspec [msgspec]_. The AST objects are completely typed, however they contain a number of unions and sequences of unions. It turns out, many frameworks like *pydantic* [pydantic]_ do not support sequences of unions where each item in the union may be of a different type. We know of only a few other documentation related project that treat AST as an intermediate object with a stable format that can be manipulated by external tools, the most popular one being Pandoc [pandoc]_, a project meant to convert from many type of @@ -434,7 +435,7 @@ implementation is set to tentatively guess relevant libraries versions when the exact version number is missing from the install command. With our current implementation IRD bundle are post-processed and stored in a -different format for later just in time rendering. This is done purely for +different format. This is done purely for convenience and performance reasons in the case of local usage. For local rendering, we mostly need to the following operations: @@ -445,7 +446,7 @@ For local rendering, we mostly need to the following operations: As we assume documentation access is happening on an end-user machine, we will also consider that IRD files are infrequently updated, disk space is limited, -and installing of running services (like a database server), are not available +and installing or running services (like a database server) are not available options. With those requirements we decided to use a combination of `SQLite` (an @@ -457,7 +458,7 @@ access pattern. *SQLite* allows us to easily query for object existence, and graph information (relationship between objects) at runtime. It is optimized for infrequent -reading access currently many queries are done at runtime, when rendering +reading access. Currently many queries are done at runtime, when rendering documentation. The goal is to move most of *SQLite* information resolving step at the installation time (such as looking for inter-libraries links) once the codebase and IRD format have stabilized. SQLite is @@ -470,7 +471,7 @@ are often highly redundant, and can be highly optimised when using *CBOR*. Storing IRD in CBOR thus reduces disk usage and can also allow faster deserialization without requiring potentially CPU intensive compression/decompression, which seem a good compromised for potentially low -performance user machines. +performance users' machines. Raw storage is used for binary blobs which needs to be accesses without further processing, typically images. This also permits access with standard tools like image @@ -511,7 +512,7 @@ walking through the IRD AST tree, and rendering each node with users' preference terminal is possible, one can reflow long lines on resized windows, and even open image files in external editors. Nonetheless, several bugs have been encountered in urwid. The project aims at replacing the CLI IPython *question - mark* (``obj?``) interface (which currently only shows raw docstrings) in + mark operator* (``obj?``) interface (which currently only shows raw docstrings) in urwid with a new one written with *Rich*/*Textual*. For this interface, having images stored raw on disk is useful as it allows us to directly call into a system image viewer to display them. @@ -534,7 +535,7 @@ walking through the IRD AST tree, and rendering each node with users' preference - A static AOT rendering of all the existing pages that can be rendered ahead of time uses the same class as the JIT rendering. Basically, this loops through all entries in the SQLite database and renders - each item independently. This renderer is mostly used for exhaustive testing and performance measures for *Papyri*. This can render most of the API documentation of IPython, `*Astropy*`, `*Dask*`, `*Distributed*`, *Matplotlib* [MPL]_ [MPL-DOI]_, `*Networkx*`, NumPy [NP]_, `Pandas`, Papyri, SciPy, `Scikit-image` and others. It can represent ~28000 pages in ~60 seconds (that is ~450 pages/s on a recent Macbook pro M1). + each item independently. This renderer is mostly used for exhaustive testing and performance measures for *Papyri*. This can render most of the API documentation of IPython, *Astropy* [astropy]_, *Dask* and *distributed* [Dask]_, *Matplotlib* [MPL]_ [MPL-DOI]_, *Networkx* [NX]_, NumPy [NP]_, `Pandas`, Papyri, SciPy, `Scikit-image` and others. It can represent ~28000 pages in ~60 seconds (that is ~450 pages/s on a recent Macbook pro M1). For all of the above renderers, profiling shows that documentation rendering is @@ -716,10 +717,13 @@ References .. [CFRG] conda-forge community. (2015). The conda-forge Project: Community-based Software Distribution Built on the conda Package Format and Ecosystem. Zenodo. http://doi.org/10.5281/zenodo.4774216 .. [CODEMETA] https://codemeta.github.io/ .. [D3js] https://d3js.org/ +.. [DOCREPR] https://github.com/spyder-ide/docrepr .. [DT] https://diataxis.fr/ +.. [Dask] Dask Development Team (2016). Dask: Library for dynamic task scheduling, https://dask.org .. [IR] https://en.wikipedia.org/wiki/Intermediate_representation .. [JEDI] https://github.com/davidhalter/jedi .. [JIT] https://en.wikipedia.org/wiki/Just-in-time_compilation +.. [JPYBOOK] https://jupyterbook.org/ .. [Jinja2] https://jinja.palletsprojects.com/ .. [LTO] https://en.wikipedia.org/wiki/Interprocedural_optimization .. [MPL-DOI] https://doi.org/10.5281/zenodo.6513224 @@ -727,6 +731,7 @@ References .. [MYST] https://myst-parser.readthedocs.io/en/latest/ .. [NPDOC] https://numpydoc.readthedocs.io/en/latest/format.html .. [NP] Harris, C.R., Millman, K.J., van der Walt, S.J. et al. Array programming with NumPy. Nature 585, 357–362 (2020). DOI: 10.1038/s41586-020-2649-2 +.. [NX] Aric A. Hagberg, Daniel A. Schult and Pieter J. Swart, “Exploring network structure, dynamics, and function using NetworkX”, in Proceedings of the 7th Python in Science Conference (SciPy2008), Gäel Varoquaux, Travis Vaught, and Jarrod Millman (Eds), (Pasadena, CA USA), pp. 11–15, Aug 2008 .. [Papyri] https://github.com/jupyter/papyri .. [RTD-theme] https://sphinx-rtd-theme.readthedocs.io/en/stable/ .. [RTD] https://readthedocs.org/ @@ -735,12 +740,14 @@ References .. [Spyder] https://www.spyder-ide.org/ .. [TSRST] https://github.com/stsewd/tree-sitter-rst .. [TS] https://tree-sitter.github.io/tree-sitter/ +.. [astropy] The Astropy Project: Building an inclusive, open-science project and status of the v2.0 core package, https://doi.org/10.48550/arXiv.1801.02634 .. [docutils] https://docutils.sourceforge.io/ .. [flask] https://flask.palletsprojects.com/en/2.1.x/ .. [httpx] https://www.python-httpx.org/ .. [mkdocs] https://www.mkdocs.org/ .. [msgspec] https://pypi.org/project/msgspec .. [pandoc] https://pandoc.org/ +.. [pydantic] https://pydantic-docs.helpmanual.io/ .. [pydata-sphinx-theme] https://pydata-sphinx-theme.readthedocs.io/en/stable/ .. [quart] https://pgjones.gitlab.io/quart/ .. [sphinx-copybutton] https://sphinx-copybutton.readthedocs.io/en/latest/ From f18bc043d1e4db28d5bc26242232035360fb21a4 Mon Sep 17 00:00:00 2001 From: Camille Carvalho Date: Thu, 16 Jun 2022 15:38:47 +0200 Subject: [PATCH 39/40] full check --- papers/bussonnier/papyri.rst | 183 +++++++++++++---------------------- 1 file changed, 66 insertions(+), 117 deletions(-) diff --git a/papers/bussonnier/papyri.rst b/papers/bussonnier/papyri.rst index 0d9ceefd39..87b30f7b2d 100644 --- a/papers/bussonnier/papyri.rst +++ b/papers/bussonnier/papyri.rst @@ -94,10 +94,10 @@ Current tools and limitations ----------------------------- In the scientific Python ecosystem, it is well known that *Docutils* [docutils]_ -and *Sphinx* [sphinx]_ are major cornerstones for publishing html documentation +and *Sphinx* [sphinx]_ are major cornerstones for publishing HTML documentation for Python. In fact, they are used by all the libraries in this ecosystem. While a few alternatives exist, most tools and services have some internal knowledge of -*Sphinx*. For instance, Read the Docs [RTD]_ provides a specific Sphinx theme +Sphinx. For instance, Read the Docs [RTD]_ provides a specific Sphinx theme [RTD-theme]_ users can opt-in to, *Jupyter-book* [JPYBOOK]_ is built on top of Sphinx, and *MyST* parser [MYST]_ (which is made to allow markdown in documentation) targets Sphinx as a backend, to name a few. All of the above provide an @@ -113,7 +113,7 @@ many custom directives. Some of the above limitations are inherent to the design of documentation build tools that were intended for a separate documentation construction. While -*Sphinx* does +Sphinx does provide features like *intersphinx*, link resolutions are done at the documentation building phase. Thus, this is inherently unidirectional, and can break easily. To illustrate this, we consider *NumPy* [NP]_ and *SciPy* [SP]_, two extremely close @@ -130,7 +130,7 @@ steps: - (re)build NumPy docs to make use of SciPy's ``obj.inv`` -Only then can both SciPy's and NumPy's documentation refer to each other. As one can expect, cross links break every time a new version of a library is published [#]_. Pre-produced html in IDEs and other tools are then prone to error and difficult to maintain. This also raises security issues: some institutions become reluctant to use tools like *Docrepr* or viewing pre-produced html. +Only then can both SciPy's and NumPy's documentation refer to each other. As one can expect, cross links break every time a new version of a library is published [#]_. Pre-produced HTML in IDEs and other tools are then prone to error and difficult to maintain. This also raises security issues: some institutions become reluctant to use tools like Docrepr or viewing pre-produced HTML. .. [#] `ipython/ipython#12210 `_, `numpy/numpy#21016 `_, `& #29073 `_ @@ -139,16 +139,16 @@ Docstrings format ----------------- The *Numpydoc* format is ubiquitous among the scientific ecosystem [NPDOC]_. It -is loosely based on *RST* syntax, and despite supporting full RST syntax, +is loosely based on *reStructuredText (RST)* syntax, and despite supporting full RST syntax, docstrings rarely contain full-featured directive. Maintainers are confronted to the following dilemma: -- keep the docstrings simple. This means mostly text-based docstrings with few directive for efficient readability. The end-user may be exposed to raw docstring, there is no on-the-fly directive interpretation. This is the case for tools such as *IPython* and *Jupyter*. +- keep the docstrings simple. This means mostly text-based docstrings with few directive for efficient readability. The end-user may be exposed to raw docstring, there is no on-the-fly directive interpretation. This is the case for tools such as *IPython* and Jupyter. - write an extensive docstring. This includes references, and directive that potentially creates graphics, tables and more, allowing an enriched end-user experience. However this may be computationally intensive, and executing code to view docs could be a security risk. -Other factors impact this choice: (i) users, (ii) format, (iii) runtime. IDE users or non-Terminal users motivate to push for extensive docstrings. Tools like *Docrepr* can mitigate this problem by allowing partial rendering. However, users are often exposed to raw docstrings (see for example the *SymPy* discussion [#]_ on how equations should be -displayed in docstrings, and left panel of Fig :ref:`oldnew`). In terms of format, markdown is appealing, however inconsistencies in the rendering will be created between libraries. Finally, some libraries can dynamically modify their docstring at runtime. While this sometime avoids using directives, it ends up being more expensive (runtime costs, complex maintenance, and contribution costs). +Other factors impact this choice: (i) users, (ii) format, (iii) runtime. IDE users or non-Terminal users motivate to push for extensive docstrings. Tools like Docrepr can mitigate this problem by allowing partial rendering. However, users are often exposed to raw docstrings (see for example the *SymPy* discussion [#]_ on how equations should be +displayed in docstrings, and left panel of Figure :ref:`oldnew`). In terms of format, markdown is appealing, however inconsistencies in the rendering will be created between libraries. Finally, some libraries can dynamically modify their docstring at runtime. While this sometime avoids using directives, it ends up being more expensive (runtime costs, complex maintenance, and contribution costs). .. [#] `sympy/sympy#14963 `_ @@ -157,7 +157,7 @@ displayed in docstrings, and left panel of Fig :ref:`oldnew`). In terms of forma The following screenshot shows the help for ``scipy.signal.dpss``, as currently accessible (left), as shown by Papyri for Jupyterlab extension (right). An extended version of the right pannel is displayed in - Fig :ref:`jlab`. :label:`oldnew` + Figure :ref:`jlab`. :label:`oldnew` Objectives of the project @@ -165,7 +165,7 @@ Objectives of the project We now layout the objectives of the Papyri documentation framework. Let us emphasize that the project is in no way intended to replace or cover many features included in well-established documentation tools such as Sphinx or Jupyter-book. -Those projects are extremely flexible and meet the needs of their users for publishing of standalone documentation website of PDFs. The Papyri project addresses specific documentation challenges (mentioned above), we present below what is (and what is not) the scope of work. +Those projects are extremely flexible and meet the needs of their users for publishing a standalone documentation website of PDFs. The Papyri project addresses specific documentation challenges (mentioned above), we present below what is (and what is not) the scope of work. **Goal (a): design a non-generic (non fully customisable) website builder.** When authors want or need complete control of the output and wide @@ -182,7 +182,7 @@ Since Papyri is not fully customisable, users who are already using documentatio **Goal (c): provide accessibility and user proficiency.** -Accessibility is a top priority of the project. To that aim, items are associated to semantic meaning as much as possible, and documentation rendering is separated from documentation building phase. That way, accessibility features such as high contract themes (for better text-to-speech (TTS) raw data), early example highlights (for newcomers) and type annotation (for advanced users) can be quickly available. With the uniform documentation structure, this provides a coherent experience where users become more comfortable finding information in a single location (see Fig :ref:`oldnew`). +Accessibility is a top priority of the project. To that aim, items are associated to semantic meaning as much as possible, and documentation rendering is separated from documentation building phase. That way, accessibility features such as high contract themes (for better text-to-speech (TTS) raw data), early example highlights (for newcomers) and type annotation (for advanced users) can be quickly available. With the uniform documentation structure, this provides a coherent experience where users become more comfortable finding information in a single location (see Figure :ref:`oldnew`). **Goal (d): make documentation building simple, fast, and independent.** One objective of the project is to make documentation installation and rendering relatively straightforward and fast. To that aim, the project includes relative independence of documentation building across libraries, allowing bidirectional cross links (i.e. both forward and backward links between pages) to be maintained more easily. In other words, a single library can be built without the need to access documentation from another. Also, the project should include straightforward lookup documentation for an object from the @@ -232,7 +232,7 @@ This kind of technique is commonly used in the field of compilers with the usage of Single Compilation Unit [SCU]_ and Intermediate Representation [IR]_, but to our knowledge, it has not been implemented for documentation in the Python ecosystem. As mentioned before, this separation is key to achieving many features -proposed in Objectives (c), (d) (see Fig :ref:`diag`). +proposed in Objectives (c), (d) (see Figure :ref:`diag`). .. figure:: diagramme.png :figclass: w @@ -249,7 +249,7 @@ Intermediate Representation for Documentation (IRD) .. We borrow the name IR again from compilers. Papyri relies on standard interchangeable "Intermediate Representation for -Documentation format" (IRD). This allows to reduce operation complexity of the +Documentation" (IRD) format. This allows to reduce operation complexity of the documentation build. For example, given M documentation producers and N renderers, a full documentation build would be O(MN) (each renderer needs to understand each producer). If each producer only cares about producing IRD, and @@ -284,21 +284,8 @@ In order to properly resolve some references and normalize links convention, we organization name/user name/repository name, that uniquely identifies a repository on a platform like GitHub. -The exact structure of package metadata is not yet defined, we currently limit -it to the minimum functional. While we could adopt formats like *codemeta* -[CODEMETA]_, we want to avoid duplicating information, and would prefer to rely -on metadata already present in the published packages, or extracting from source -repository GitHub. - -IRD files must be standardized in order to achieve a uniform syntax structure -(Objective (b)). In this paper, we do not discuss IRD files distribution. - -The final specification IRD files is still in progress and still regularly -undergo major changes – therefor we do not describe it in this paper as the -description would already be outdated by the time this paper is published. -We thus invite contributors to consult the current state on the GitHub repository [Papyri]_, -and look at the current implementation. Once the IRD format is more stable we -plan on publishing a JSON schema, full specification and more in depth description. +Let us make some remarks about the current stage of IRD format. The exact structure of package metadata has not been defined yet. At the moment it is reduced to the minimum functionality. While formats such as *codemeta* +[CODEMETA]_ could be adopted, in order to avoid information duplication we rely on metadata either present in the published packages already or extracted from Github repository sources. Also, IRD files must be standardized in order to achieve a uniform syntax structure (Objective (b)). In this paper, we do not discuss IRD files distribution. Last, the final specification of IRD files is still in progress and regularly undergoes major changes (even now). Thus, we invite contributors to consult the current state of implementation on the GitHub repository [Papyri]_. Once the IRD format is more stable, this will be published as a JSON schema, with full specification and more in-depth description. **IRD bundles** @@ -320,7 +307,7 @@ multiple environments. From a security standpoint, installing IRD bundles does not require the execution of arbitrary code. This is a critical element for adoption in deployments. -There exists as well to opportunity to provide localized variants at the IRD installation time (IRD bundle translations haven't been explored exhaustively at the moment). +There exists as well an opportunity to provide localized variants at the IRD installation time (IRD bundle translations haven't been explored exhaustively at the moment). IRD and high level usage @@ -355,27 +342,22 @@ Current implementation ++++++++++++++++++++++ We present here some of the technological choices made in the current Papyri -implementation. The current implementation is targeting only a subset of -projects and users that could make use of IRD, and are thus highly opinionated -in order to minimise current scope and development effort. Understanding the -implementation is **not necessary to use Papyri** neither as a project maintainer -nor as a user, but can help understanding some of the current limitation. +implementation. At the moment, it is only targeting a subset of +projects and users that could make use of IRD files and bundles. As a consequence, it is constrained in order to minimize the current scope and efforts development. Understanding the implementation is **not necessary to use Papyri** neither as a project maintainer +nor as a user, but it can help understanding some of the current limitations. -Nothing prevent alternatives and complementary implementations with different -choices. As long as other implementations also produce (or consume) IRD bundles, -they should be perfectly compatible and work together. +Additionally, nothing prevents alternatives and complementary implementations with different choices: as long as other implementations can produce (or consume) IRD bundles, they should be perfectly compatible and work together. The following sections are thus mostly informative to understand the state of the current code base. In particular we restricted ourselves to: -- Producing IRD bundle for the core scientific Python Projects (Numpy, SciPy, - matplotlib...) +- Producing IRD bundles for the core scientific Python projects (Numpy, SciPy, + Matplotlib...) - Rendering IRD documentation for a single user on their local machine. - -Some of the technological choices also do not have other justification than the -main developer having interests in them, or making iteration on IRD format and -main code base fast. +Finally, some of the technological choices have no other justification than the +main developer having interests in them, or making iterations on IRD format and +main code base faster. IRD files generation -------------------- @@ -386,17 +368,14 @@ narrative documentation syntax and Numpydoc (both a project and standard for docstring formatting). These are widely used by a majority of the core scientific Python ecosystem, and -thus having Papyri and IRD bundles compatible with existing project is a -critical goal. We estimate that currently about 85% to 90% of current -documentation pages currently being built with Sphinx, RST and Numpydoc works can -be built with Papyri. Future work includes extensions to be compatible with *MyST* -(a project to bring *Markdown* syntax to Sphinx), but is not a priority. +thus having Papyri and IRD bundles compatible with existing projects is critical. We estimate that about 85%-90% of current +documentation pages being built with Sphinx, RST and Numpydoc can +be built with Papyri. Future work includes extensions to be compatible with MyST +(a project to bring markdown syntax to Sphinx), but this is not a priority. To understand RST Syntax in narrative documentation, RST documents need to be parsed. -To do so Papyri uses tree-sitter [TS]_ and tree-sitter-rst [TSRST]_ projects, allowing us to -extract an "Abstract Syntax Tree" (AST) from the text files. When using -tree-sitter, AST nodes contain bytes-offsets into the original text buffer. Thus -tree-sitter allowing us to easily "unparse" an AST node when necessary. This is +To do so, Papyri uses tree-sitter [TS]_ and tree-sitter-rst [TSRST]_ projects, allowing us to extract an "Abstract Syntax Tree" (AST) from the text files. When using +tree-sitter, AST nodes contain bytes-offsets into the original text buffer. Then one can easily "unparse" an AST node when necessary. This is relatively convenient for handling custom directives and edge cases (for instance, when projects rely on a loose definition of the RST syntax). Let us provide an example: RST directives are usually of the form:: @@ -414,11 +393,9 @@ and unparse to the raw text only if the directive requires it. Serialisation of data structure into IRD files is currently using a custom -serialiser. Future work includes maybe swapping to msgspec [msgspec]_. The AST objects are completely typed, however they contain a number of unions and sequences of unions. It turns out, many frameworks like *pydantic* [pydantic]_ do not support sequences of unions where each item in the union may be of a different type. -We know of only a few other documentation related project that treat AST as an intermediate -object with a stable format that can be manipulated by external tools, the most -popular one being Pandoc [pandoc]_, a project meant to convert from many type of -documents to many other. +serialiser. Future work includes maybe swapping to *msgspec* [msgspec]_. The AST objects are completely typed, however they contain a number of unions and sequences of unions. It turns out, many frameworks like *pydantic* [pydantic]_ do not support sequences of unions where each item in the union may be of a different type. +To our knowledge, there are just few other documentation related projects that treat AST as an intermediate object with a stable format that can be manipulated by external tools. In particular, the most +popular one is Pandoc [pandoc]_, a project meant to convert from many document types to plenty of other ones. The current Papyri strategy is to type-infer all code examples with *Jedi* [JEDI]_, and pre-syntax highlight using `pygments` when possible. @@ -426,7 +403,7 @@ IRD File Installation --------------------- Download and installation of IRD files is done concurrently using *httpx* [httpx]_, -with *trio* [trio]_ as an async framework, allowing us to download files concurrently. +with *Trio* [Trio]_ as an async framework, allowing us to download files concurrently. The current implementation of Papyri targets Python documentation and is written in Python. We can then query the existing version of Python libraries @@ -434,67 +411,52 @@ installed, and infer the appropriate version of the requested documentation. At implementation is set to tentatively guess relevant libraries versions when the exact version number is missing from the install command. -With our current implementation IRD bundle are post-processed and stored in a -different format. This is done purely for -convenience and performance reasons in the case of local usage. - -For local rendering, we mostly need to the following operations: +For convenience and performance, IRD bundles are being post-processed and stored in a different format. For local rendering, we mostly need to perform the following operations: -1. Querying graph informations about cross links across documents. -2. Rendering of a single page. -3. Accessing raw data like images. +1. Query graph information about cross-links across documents. +2. Render a single page. +3. Access raw data (e.g. images). -As we assume documentation access is happening on an end-user machine, we will -also consider that IRD files are infrequently updated, disk space is limited, -and installing or running services (like a database server) are not available -options. +We also assume that IRD files may be infrequently updated, that disk space is limited, and that installing or running services (like a database server) are not necessary available. This provides an adapted framework to test Papyri on an end-user machine. -With those requirements we decided to use a combination of `SQLite` (an -in-process database engine), `CBOR` [#]_ and raw storage to better reflect the -access pattern. - -.. [#] Concise Binary Object Representation +With those requirements we decided to use a combination of *SQLite* (an +in-process database engine), *Concise Binary Object Representation (CBOR)* and raw storage to better reflect the +access pattern (see Figure :ref:`GraphStore`). - -*SQLite* allows us to easily query for object existence, and graph information +SQLite allows us to easily query for object existence, and graph information (relationship between objects) at runtime. It is optimized for infrequent reading access. Currently many queries are done at runtime, when rendering -documentation. The goal is to move most of *SQLite* information resolving step at +documentation. The goal is to move most of SQLite information resolving step at the installation time (such as looking for inter-libraries links) once the codebase and IRD format have stabilized. SQLite is less strongly typed than other relational or graph database and needs custom logic, but is ubiquitous on all systems and does not need a separate server process, making it an easy choice of database. -*CBOR* is a more space efficient alternative to JSON. In particular keys in IRD -are often highly redundant, and can be highly optimised when using *CBOR*. +CBOR is a more space efficient alternative to JSON. In particular, keys in IRD +are often highly redundant, and can be highly optimized when using CBOR. Storing IRD in CBOR thus reduces disk usage and can also allow faster -deserialization without requiring potentially CPU intensive -compression/decompression, which seem a good compromised for potentially low -performance users' machines. +deserialization without requiring potentially CPU intensive compression/decompression. This is a good compromise for potentially low performance users' machines. -Raw storage is used for binary blobs which needs to be accesses without further -processing, typically images. This also permits access with standard tools like image -viewers. +Raw storage is used for binary blobs which need to be accessed without further +processing. This typically refers to images, and raw storage can be accessed with standard tools like image viewers. Finally, access to all of these resources is provided via an internal ``GraphStore`` API which is agnostic of the backend, but ensures consistency of -operations like adding/removing/replacing documents. +operations like adding/removing/replacing documents. Figure :ref:`GraphStore` summarizes this process. .. figure:: graphstore.png - Local implementation of Papyri stores informations in 3 different format depending on - access patterns. A SQLite database for relationship information, on-disk CBOR + Sketch representing how Papyri stores information in 3 different format depending on + access patterns: a SQLite database for relationship information, on-disk CBOR files for more compact storate of IRD, and RAW files (e.g. Images). A `GraphStore` - API abstract those access and takes care of maintinaing consistency. :label:`GraphStore` + API abstracts all access and takes care of maintinaing consistency. :label:`GraphStore` -Depending on the context where documentation is rendered and viewed, those -choices should be adapted. For example an online archive to browse documentation +Of course the above choices depend on the context where documentation is rendered and viewed. For example, an online archive intended to browse documentation for multiple projects and versions may decide to use an actual graph -database for object relation ship, and store other files on a Content Delivery -Network or blob -storage for random access. +database for object relationship, and store other files on a Content Delivery +Network or blob storage for random access. Documentation Rendering ----------------------- @@ -517,37 +479,24 @@ walking through the IRD AST tree, and rendering each node with users' preference having images stored raw on disk is useful as it allows us to directly call into a system image viewer to display them. -- A JIT rendering engine uses *Jinja2*, *Quart* [quart]_, Trio. Quart is an async - version of *flask* [flask]_. This option contains the most features, and therefore is the - main one used for development. This environment lets us iterate over the rendering engine rapidly. - - We used this renderer to explore the User Interface design and navigation. In - particular we found that a list of back references has limited uses, as it is - difficult to judge the relevance of back references, or their relationship - with each other. We are playing with a network graph visualisation (Fig :ref:`localgraph`)) - of back references, and found that is seem to help with finding cluster of - similar information. This representation also have challenges when pages have - a large number of back references as the graph become too busy. - - We've experience here one of the advantage of the Papyri architecture, - creating this network visualization did not require any regeneration of the documentation. - We only had to update the template and re-render the current page. +- A JIT rendering engine uses Jinja2, *Quart* [quart]_, Trio. Quart is an async + version of *flask* [flask]_. This option contains the most features, and therefore is the main one used for development. This environment lets us iterate over the rendering engine rapidly. When exploring the User Interface design and navigation, we found that a list of back references has limited uses. Indeed, it is can be challenging to judge the relevance of back references, as well as their relationship to each other. By playing with a network graph visualisation (see Figure :ref:`localgraph`)), we can identify clusters of similar information within back references. Of course, this identification has limits especially when pages have a large number of back references (where the graph becomes too busy). This illustrate as well a strength of the Papyri architecture: creating this network visualization did not require any regeneration of the documentation, one simply updates the template and re-renders the current page as needed. - A static AOT rendering of all the existing pages that can be rendered ahead of time uses the same class as the JIT rendering. Basically, this loops through all entries in the SQLite database and renders - each item independently. This renderer is mostly used for exhaustive testing and performance measures for *Papyri*. This can render most of the API documentation of IPython, *Astropy* [astropy]_, *Dask* and *distributed* [Dask]_, *Matplotlib* [MPL]_ [MPL-DOI]_, *Networkx* [NX]_, NumPy [NP]_, `Pandas`, Papyri, SciPy, `Scikit-image` and others. It can represent ~28000 pages in ~60 seconds (that is ~450 pages/s on a recent Macbook pro M1). + each item independently. This renderer is mostly used for exhaustive testing and performance measures for Papyri. This can render most of the API documentation of IPython, *Astropy* [astropy]_, *Dask* and *distributed* [Dask]_, *Matplotlib* [MPL]_ [MPL-DOI]_, *Networkx* [NX]_, NumPy [NP]_, `Pandas`, Papyri, SciPy, `Scikit-image` and others. It can represent ~28000 pages in ~60 seconds (that is ~450 pages/s on a recent Macbook pro M1). For all of the above renderers, profiling shows that documentation rendering is mostly limited by object de-serialisation from disk and Jinja2 -templating engine. In the early project development phase, we attempted to write a static html renderer in a +templating engine. In the early project development phase, we attempted to write a static HTML renderer in a compiled language (like Rust, using compiled and typed checked templates). This provided a speedup of roughly a factor 10. However, its implementation is now out of sync with the main Papyri code base. Finally, a JupyterLab extension is currently in progress. The documentation then presents itself as a side-panel and is capable of basic browsing and rendering (see Figure :ref:`oldnew` and Figure :ref:`jlab`). The model uses *typescript*, react and native JupyterLab component. Future goals include improving/replacing the -*JupyterLab*'s question mark operator (``obj?``) and the JupyterLab Inspector (when possible). A screenshot of the current development version of the JupyterLab +JupyterLab's question mark operator (``obj?``) and the JupyterLab Inspector (when possible). A screenshot of the current development version of the JupyterLab extension can be seen in Figure :ref:`jlab`. @@ -560,8 +509,8 @@ extension can be seen in Figure :ref:`jlab`. .. figure:: local-graph.png - Local graph (made with D3.js [D3js]_) representing the connections among the most important nodes around current page across many libraries. Here when viewing ``numpy.ndarray``. - Nodes are sized with respect to the number of incomming links, and colored with respect to their library. This graph is generated at render-time, and updates depending on the currently installed libraries, it can be conveninent to find related function and documentation, but can be challenging to read for highly connected items as seem here for ``numpy.ndarray``. :label:`localgraph` + Local graph (made with D3.js [D3js]_) representing the connections among the most important nodes around current page across many libraries, when viewing ``numpy.ndarray``. + Nodes are sized with respect to the number of incomming links, and colored with respect to their library. This graph is generated at rendering time, and is updated depending on the libraries currently installed. This graph helps identify related functions and documentation. It can become challenging to read for highly connected items as seen here for ``numpy.ndarray``. :label:`localgraph` Challenges @@ -659,7 +608,7 @@ Funding M. B. received a 2-year grant from the Chan Zuckerberg Initiative (CZI) Essential Open Source Software for Science (EOS) -– EOSS4-0000000017 via the NumFOCUS 501(3)c non profit to develop the *Papyri* project. +– EOSS4-0000000017 via the NumFOCUS 501(3)c non profit to develop the Papyri project. @@ -752,4 +701,4 @@ References .. [quart] https://pgjones.gitlab.io/quart/ .. [sphinx-copybutton] https://sphinx-copybutton.readthedocs.io/en/latest/ .. [sphinx] https://www.sphinx-doc.org/en/master/ -.. [trio] https://trio.readthedocs.io/ +.. [Trio] https://trio.readthedocs.io/ From 2d6bb04aa4c5fb5be7f573e3396498f348f249e4 Mon Sep 17 00:00:00 2001 From: Matthias Bussonnier Date: Thu, 30 Jun 2022 06:06:36 -0700 Subject: [PATCH 40/40] Update README.md --- README.md | 1 - 1 file changed, 1 deletion(-) diff --git a/README.md b/README.md index 243e483342..a66313d213 100644 --- a/README.md +++ b/README.md @@ -477,7 +477,6 @@ Editors should come to a final 'ready', 'unready' decision before the **Final Ed 5. Choose the appropriate folder, and make a new directory inside it (it needs a unique name) 6. Copy your slide deck or poster into the directory, and add a file called `info.json` with the following fields needed for uploading to Zenodo (using an empty string for author orcid or affiliation if these cannot be provided): - ```json { "title": "The title of your presentation",

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