analyzing_github_repo.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# This shit needs cleaned up quite a bit, but good enough for hacking it together initially"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### [This blog post](http://engineering.hackerearth.com/2014/08/21/python-requests-module/) was very helpful in getting it working right."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Questions I'm hoping to find the answers to with this data?\n",
    "- What was my most productive day of the week?  \n",
    "  - How did it change over time?\n",
    "- Visualizing total word count over time?\n",
    "  - Need to do a more sophisticated pull of past commits and find a way to count the \"words\" in a .tex file\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###### Can use [this blog post](http://blog.rtwilson.com/my-thesis-writing-timeline-analysed-using-dropbox-and-python/) to get some ideas on how to slice this data up\n",
    "\n",
    "Word counting in Python using subprocess.Popen : texcount -brief -total -1 -sum file.tex\n",
    "\n",
    "[TeXlog might be handy as well](https://github.com/deparkes/texlog)\n",
    "\n",
    "Really need to figure out how to have python go through git history and visualize the word count over time"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "# Now working towards pulling all revisions of sykes_*.tex files in git history"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Outline\n",
    "- For each file sykes_*.tex:\n",
    "  - Get list of commits\n",
    "  - For each commit:\n",
    "    - Checkout repo at commit, grab file contents of file:\n",
    "    - Run texcount -brief -total -1 -sum file.tex on checked-out file, save word count\n",
    "- End with list of tuples, (file, commit, word_count)\n",
    "- Continue with analysis by reshaping and grouping as needed\n",
    "  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[GitPython documentation](http://gitpython.readthedocs.io/en/stable/tutorial.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import git"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Point it at my local repository and practice by pulling all commit ID's for sykes_dissertation.tex"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "repo = git.Repo(\"~/Dropbox/Dissertation-Kyle/\")\n",
    "path = \"sykes_dissertation.tex\"\n",
    "\n",
    "commits_touching_path = list(repo.iter_commits(paths=path))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import os\n",
    "dissertation_directory_path = '/Users/kylesykes/Dropbox/Dissertation-Kyle/'\n",
    "\n",
    "# Get list of all sykes_*.tex file names\n",
    "main_file_names = [filename for filename in os.listdir(dissertation_directory_path) \n",
    "                    if \"sykes_\" in filename and \".tex\" in filename]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# Make dictionary of filename : commits for each filename\n",
    "commit_dict = dict((filename, repo.iter_commits(paths = filename)) for filename in main_file_names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "for key, value in commit_dict.iteritems():\n",
    "    commit_dict[key] = list(value)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Make dataframe from commit_dict\n",
    "df = pd.DataFrame.from_dict(commit_dict, orient = 'index')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Get a dataframe with columns commit, count, commithash\n",
    "df_commit = pd.melt(df.reset_index(), id_vars = \"index\")\n",
    "df_commit.columns = ['filename','commit_number','commit_hash']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>filename</th>\n",
       "      <th>commit_number</th>\n",
       "      <th>commit_hash</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>sykes_dissertation_burntime.tex</td>\n",
       "      <td>0</td>\n",
       "      <td>1490290dc23eac7dd4b2021fd285550e8d307177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>sykes_dissertation_exact.tex</td>\n",
       "      <td>0</td>\n",
       "      <td>f1a0ed955f54201b16ffef16a43461b32234385a</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>sykes_dissertation_intro.tex</td>\n",
       "      <td>0</td>\n",
       "      <td>0f326e9e781c602a71768447b1340173ab6a44ed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>sykes_dissertation_acknowledgments.tex</td>\n",
       "      <td>0</td>\n",
       "      <td>94c62093654c8928ae608fbf7e1888beef5e6292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>sykes_dissertation_stability.tex</td>\n",
       "      <td>0</td>\n",
       "      <td>1490290dc23eac7dd4b2021fd285550e8d307177</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 filename commit_number  \\\n",
       "0         sykes_dissertation_burntime.tex             0   \n",
       "1            sykes_dissertation_exact.tex             0   \n",
       "2            sykes_dissertation_intro.tex             0   \n",
       "3  sykes_dissertation_acknowledgments.tex             0   \n",
       "4        sykes_dissertation_stability.tex             0   \n",
       "\n",
       "                                commit_hash  \n",
       "0  1490290dc23eac7dd4b2021fd285550e8d307177  \n",
       "1  f1a0ed955f54201b16ffef16a43461b32234385a  \n",
       "2  0f326e9e781c602a71768447b1340173ab6a44ed  \n",
       "3  94c62093654c8928ae608fbf7e1888beef5e6292  \n",
       "4  1490290dc23eac7dd4b2021fd285550e8d307177  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_commit.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Checking out a commit is as simple as passing the commit hash to git.checkout"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "test = df_commit.iloc[0,2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "git = repo.git"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "git.checkout(test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Figuring out how to run subprocess.Popen on a file for commit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'4471\\n'"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import subprocess as sp\n",
    "# Define the arguments used to count file names\n",
    "args = ['texcount', '-brief', '-total', '-1', '-sum', 'sykes_dissertation_burntime.tex']\n",
    "# Make the call to count a filename\n",
    "p = sp.Popen(args, cwd='/Users/kylesykes/Dropbox/Dissertation-Kyle/', stdout=sp.PIPE)\n",
    "# Print output, which is the word count result from texcount\n",
    "p.communicate()[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Now trying to bring it all together..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import time\n",
    "import datetime\n",
    "\n",
    "# Adding a datetime column as long as commit exists\n",
    "def make_datetime_column(commit):\n",
    "    if commit:\n",
    "        return commit.committed_datetime\n",
    "    else: \n",
    "        return None\n",
    "    \n",
    "# Adding a date column from datetime column as long as commit_datetime exists\n",
    "def make_date_column(datetime):\n",
    "    if datetime:\n",
    "        return datetime.date()\n",
    "    else: \n",
    "        return None\n",
    "    \n",
    "def make_time_column(datetime):\n",
    "    if datetime:\n",
    "        return datetime.time()\n",
    "    else:\n",
    "        return None\n",
    "    \n",
    "    \n",
    "\n",
    "# Create column\n",
    "df_commit['commit_datetime'] = df_commit.commit_hash.map(make_datetime_column)\n",
    "df_commit['commit_date'] = df_commit.commit_datetime.map(make_date_column)\n",
    "df_commit['commit_time'] = df_commit.commit_datetime.map(make_time_column)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Group by dates and filenames, then sort by commit_time within each group and drop\n",
    "# the duplicates between filename and commit_date, keeping only the last commit for\n",
    "# each file for each day.\n",
    "groups = df_commit.groupby(['commit_date','filename'])\n",
    "df = groups.apply(lambda grp: grp.sort_values('commit_time').drop_duplicates(['filename','commit_date'], keep='last'))\n",
    "\n",
    "# Set the index to commit_date\n",
    "df.set_index('commit_date', inplace=True)\n",
    "\n",
    "# Grab only the columns of interest from here on out\n",
    "df2 = df[['filename','commit_hash']].reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Basic outline of process in my head...\n",
    "- group by commit_hash, filename\n",
    "- Remove any commits that aren't the latest timestamp for each filename (so I get wordcounts for the end of each day)\n",
    "- checkout git repo at commit_hash\n",
    "- sp.Popen to provide a texcount for each filename in new column 'word_count'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 243,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# My first attempt at the above...\n",
    "import subprocess\n",
    "import time\n",
    "git = repo.git\n",
    "\n",
    "def get_wordcounts(row):\n",
    "    git.checkout(row.commit_hash)\n",
    "    # Define the arguments used to count file names\n",
    "    args = ['texcount', '-brief', '-total', '-1', '-sum', row.filename]\n",
    "    # Make the call to count a filename\n",
    "    p = subprocess.Popen(args, cwd='/Users/kylesykes/Dropbox/Dissertation-Kyle/', stdout=sp.PIPE)\n",
    "    # Save output, which is the word count result from texcount\n",
    "    return p.communicate()[0].rstrip()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 244,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# So close...need to figure out my git shit.  Remove things from repo that are causing issues?\n",
    "# http://stackoverflow.com/questions/4858047/the-following-untracked-working-tree-files-would-be-overwritten-by-checkout\n",
    "df2['word_count'] = df2.apply(get_wordcounts, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Save to file so I don't have to rerun the above\n",
    "df2.to_csv('clean_word_counts.txt', sep = '\\t', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 258,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df3 = df2.pivot(index = 'commit_date', columns = 'filename', values = 'word_count')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " ## So, some of the outputs of communicate()[0] contain crap like \\n532\\n (errors:4), which I don't really understand since stderr (communication()[1]) is None).  So I'm going to manually go through and check to remove those, then convert all the values to ints."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 259,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def remove_errors(cell):\n",
    "    if not cell:\n",
    "        return None\n",
    "    if 'error' in cell:\n",
    "        return cell.strip()[:-12]\n",
    "    else:\n",
    "        return cell"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 260,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# Apply above function to every cell in data frame\n",
    "df_plot = df3.applymap(remove_errors)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 272,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "df4 = df_plot.astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 278,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Need to fill in None's with the last value\n",
    "df4 = df4.fillna(method='pad')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 287,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Remove a first commit really far in the past before I started seriously using git\n",
    "df4 = df4[df4.index > datetime.date(2015,9,4)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 299,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x114e8f090>"
      ]
     },
     "execution_count": 299,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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LvR5KKaXU1ei0TKVUWXS1zFssKSmJ999/n3//+98EBASQmppKUVERnTp14tNPP+Wll14C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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x114bf1310>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "df4.plot(legend = True, figsize = (15,5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 304,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1159d06d0>"
      ]
     },
     "execution_count": 304,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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9wu9169bd0XZrspiYGL2fSj9KT+t7kG3cuBFfX1/q16/P4cOHWb9+fXWHJIQQ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\nMzMzsxrwd1pKpUNOjkN0AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x114af77d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Select the main sections of my dissertation\n",
    "cols = ['sykes_dissertation_acknowledgments.tex','sykes_dissertation_burnaxis.tex','sykes_dissertation_burntime.tex',\n",
    " 'sykes_dissertation_defn.tex','sykes_dissertation_intro.tex','sykes_dissertation_stability.tex']\n",
    "\n",
    "# Plot them!\n",
    "df4[cols].plot(legend = True, figsize = (15,5))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# The stability has other branches that weren't considered in this, so it appears to have a massive jump.  Could probably go back and add in those, or just aggregate this shit up to a weekly level and make a nice line chart.  Write up a blog post highlighting the use of gitpython and subprocess to get the word counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}