Add user meaning plugin

user_meaning/custom-recipes/user-meaning/recipe.json

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+{
+    // Meta data for display purposes
+    "meta" : {
+        "label" : "User meaning",
+        "author" : "Ministère de l’Intérieur — EIG 2017",
+        "tags" : []
+    },
+
+    "kind" : "PYTHON",
+
+    "inputRoles" : [{
+        "name": "input",
+        "label": "Input datasset",
+        "arity": "UNARY",
+        "required": true,
+        "acceptsDataset": true
+    }],
+    "outputRoles" : [{
+        "name": "output",
+        "label": "Output dataset",
+        "arity": "UNARY",
+        "required": true,
+        "acceptsDataset": true
+    }],
+
+    "params": [
+        {
+            "name": "meanings",
+            "label" : "Meaning to map",
+            "type": "TEXTAREA",
+            "description": "A json document: each entry is the name of a column. For entry is a dictionnary mapping from a constant to an user meaning",
+            "mandatory" : true
+        }
+    ]
+}

user_meaning/custom-recipes/user-meaning/recipe.py

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+# coding=utf-8
+
+u"""Map constants to user meaning
+
+This plugin was developped by the Ministère de l’Intérieur (French ministry of interior)
+in the context of the program Entrepreneurs d’Intérêt Général 2017
+"""
+
+from concurrent import futures
+import dataiku
+from dataiku.customrecipe import get_input_names_for_role
+from dataiku.customrecipe import get_output_names_for_role
+from dataiku.customrecipe import get_recipe_config
+import json
+import pandas as pd
+
+# We read the addresses from the input dataset
+# And write the coordinates in the output dataset
+input_name = get_input_names_for_role('input')[0]
+input_dataset = dataiku.Dataset(input_name)
+
+output_name = get_output_names_for_role('output')[0]
+output_dataset = dataiku.Dataset(output_name)
+
+meanings = get_recipe_config()['meanings'].encode('utf8')
+meanings = json.loads(meanings)
+
+df = input_dataset.get_dataframe(infer_with_pandas=False)
+
+for column, mappings in meanings.iteritems():
+    df[column] = df[column].map(mappings)
+
+output_dataset.write_with_schema(df)

user_meaning/plugin.json

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+// This file is the descriptor for the DSS Plugin geocoding_BAN
+{
+    // The identifier of the plugin.
+    // This must be globally unique, and only contain A-Za-z0-9_-
+    "id" : "user_meaning",
+
+    // Version. It is highly recommended to use Semantic Versioning
+    "version" : "0.0.1",
+
+    // Meta data for display purposes
+    "meta" : {
+        // Name of this plugin that appears in the interface.
+        "label": "Map constants to user meaning",
+
+        "description": "Transform multiple column values constants to more meaningful values",
+        "author": "Ministère de l’Intérieur — EIG 2017",
+
+        // The icon of a plugin must be one of the FontAwesome 3.1 icons
+        "icon": "icon-list-ul",
+
+        "licenseInfo" : "Apache Software License",
+
+        // List of tags for filtering the list of plugins
+        "tags": []
+    }
+}