Merge pull request #4 from dataiku/feature/dss12-sc-189489-rename-plu…

…gin-components-prefix-with-plugin

Rename plugin components

dss-plugin-visual-edit/README.md

@@ -23,14 +23,14 @@ The code was developed in Python (environment specs are in `code-env/`) and is o
 We recommend reading the components' descriptions, available on your Dataiku instance once you've installed the plugin.
 
 * **`custom-recipes/` (Dataiku plugin components: Recipes)** leverage the data persistence layer and Custom Fields (see below) to replay edits found in an editlog dataset, and integrate them into a Dataiku Flow.
-* **`custom-fields/edit-schema/` (Dataiku plugin component: Custom Fields)** provides a place to store dataset settings such as primary keys and editable columns, which are used by the Recipes. Currently, these settings are duplicated across the original dataset and the editlog:
+* **`custom-fields/visual-edit-schema/` (Dataiku plugin component: Custom Fields)** provides a place to store dataset settings such as primary keys and editable columns, which are used by the Recipes. Currently, these settings are duplicated across the original dataset and the editlog:
   * original dataset:
     * `primary_keys` is used by the Apply Edits function/recipe, which joins the original and edits datasets
     * `editable_columns` is used to present columns in a certain order
     * Note: both properties are returned by the `get_original_df()` method in `commons.py`.
   * editlog dataset: 
     * `primary_keys` is used by the Replay Edits function/recipe to unpack key values into 1 column per primary key and to figure out key names.
-* **`python-steps/empty-editlog/` (Dataiku plugin component: Scenario step)** empties the editlog by deleting all rows (this is only used for testing purposes on a design instance).
+* **`python-steps/visual-edit-empty-editlog/` (Dataiku plugin component: Scenario step)** empties the editlog by deleting all rows (this is only used for testing purposes on a design instance).
 
 ### Dash Webapp
 

dss-plugin-visual-edit/plugin.json

@@ -1,6 +1,6 @@
 {
     "id": "visual-edit",
-    "version": "2.0.0",
+    "version": "2.0.1",
     "meta": {
         "label": "Visual Edit",
         "description": "Build apps to validate and edit data within pipelines",

dss-plugin-visual-edit/python-lib/DataEditor.py

@@ -119,7 +119,7 @@ def __setup_editlog_downstream__(self):
 
         replay_recipe_name = "compute_" + self.edits_ds_name
         replay_recipe_creator = DSSRecipeCreator(
-            "CustomCode_replay-edits", replay_recipe_name, self.project
+            "CustomCode_visual-edit-replay-edits", replay_recipe_name, self.project
         )
         if recipe_already_exists(replay_recipe_name, self.project):
             logging.debug("Found recipe to create edits dataset")
@@ -149,7 +149,7 @@ def __setup_editlog_downstream__(self):
 
         apply_recipe_name = "compute_" + self.edited_ds_name
         apply_recipe_creator = DSSRecipeCreator(
-            "CustomCode_apply-edits", apply_recipe_name, self.project
+            "CustomCode_visual-edit-apply-edits", apply_recipe_name, self.project
         )
         if recipe_already_exists(apply_recipe_name, self.project):
             logging.debug("Found recipe to create edited dataset")