essai pipeline

README.md

@@ -1,5 +1,17 @@
 # Actes princiers -- refactoring datascience
 
+## Project Name
+
+human readable name : `Actes Princiers`
+
+The project name 'Actes Princiers' has been applied to:
+
+- The project title in `datascience/actes-princiers/README.md` 
+- The folder created for your project in `datascience/actes-princiers` 
+- The project's python package in `datascience/actes-princiers/src/actes_princiers`
+
+A best-practice setup includes initialising git and creating a virtual environment before running 'pip install -r src/requirements.txt'
+
 ## Getting started
 
 - Install the virtual environment : `python3 -m venv .venv`
@@ -7,10 +19,18 @@
 - install kedro `pip install kedro`
 - Install the packages and libraries `pip install -r src/requirements.txt`
 
-Then open a terminal in the `actest-princiers` folder 
+Then open a terminal in the `actes-princiers` folder 
 and launch jupyter : `kedro jupyter notebook` 
 or start the ipython prompt : `kedro ipython`
 
+## Launching the pipeline
+
+`kedro run`
+
+## Visualizing the pipelines
+
+`kedro viz`
+
 ## Developper's rules and guidelines
 
 Declare any dependencies in `src/requirements.txt` for `pip` installation.
@@ -32,18 +52,10 @@ After this, if you'd like to update your project requirements, please update `sr
 [Further information about project dependencies](https://kedro.readthedocs.io/en/stable/kedro_project_setup/dependencies.html#project-specific-dependencies)
 
 
-Project Name
+## tips
-============
 
-human readable name : `Actes Princiers`
+You need to reload Kedro variables by calling `%reload_kedro` in your notebook and re-run the code snippet
-
-The project name 'Actes Princiers' has been applied to:
 
-- The project title in `datascience/actes-princiers/README.md` 
-- The folder created for your project in `datascience/actes-princiers` 
-- The project's python package in `datascience/actes-princiers/src/actes_princiers`
-
-A best-practice setup includes initialising git and creating a virtual environment before running 'pip install -r src/requirements.txt'
 
 Par rapport aux bonnes pratiques kedro 
 ------------------------------------------

actes-princiers/conf/base/catalog.yml

@@ -6,6 +6,7 @@ actors:
   filepath: data/01_raw/csv/actors.csv
   load_args:
     sep: ";"
+
 corpus-agnes-bourgogne:
   type: pandas.CSVDataSet
   filepath: data/01_raw/csv/corpus-agnes-bourgogne.csv
@@ -18,3 +19,9 @@ corpus-charles-i:
   load_args:
     sep: ";"
 
+preprocessed_actors:
+  type: pandas.CSVDataSet
+  filepath: data/02_intermediate/csv/preprocessed_actors.csv
+  save_args:
+    sep: ";"
+

actes-princiers/data/02_intermediate/csv/preprocessed_actors.csv

@@ -0,0 +1,50 @@
+NAME;ROLE;HOUSE;DATE1;DATE2;DATE3
+Charles Ier de Bourbon;prince;Bourbon;1400;1434.0;1456.0
+Gort, Étienne;secret;Bourbon;1425;1440.0;
+Erart;secret;Berry;1404;1405.0;
+Jean de Berry;prince;Berry;1337;1360.0;1416.0
+Agnès de Bourgogne;prince;Bourbon;1407;1434.0;1476.0
+Marghas, Philippe;secret;Bourbon;1426;1433.0;
+Marie de Berry;prince;Bourbon;1480;1410.0;1434.0
+René d'Anjou;prince;Anjou;;;
+Arthur de Richemont;prince;Bretagne;;;
+Bernard d'Armagnac;prince;Armagnac;;;
+Philippe le Bon;prince;Bourgogne;;;
+Gourriet, Lorrin;secret;Bourbon;;;
+De Bar, Étienne;secret;Bourbon;;;
+Gon, Jean;secret;Bourbon;;;
+Trichon, Jean;secret;Bourbon;;;
+Chevalier, E.;secret;Bretagne;;;
+Cadier, Guillaume;secret;Bourbon;;;
+Decharmeres, J.;secret;Anjou;;;
+Dommessent;secret;Bourgogne;Bretagne;;
+Andraut, Laurent;secret;Bourbon;;;
+Breneal, Jean;secret;Bourgogne;;;
+De Castillione;secret;Anjou;;;
+Yollande d'Aragon;prince;Anjou;;;
+Marie de Blois;prince;Anjou;;;
+Grauquellin;secret;Anjou;;;
+Michael;secret;Anjou;;;
+Matheus;secret;Anjou;;;
+Louis Ier d'Anjou;prince;Anjou;;;
+Louis II d'Anjou;prince;Anjou;;;
+Louis III d'Anjou;prince;Anjou;;;
+Caillot, G.;secret;Anjou;;;
+Olivier;secret;Anjou;;;
+Benepy;secret;Anjou;;;
+Gontier, Col;secret;Berry;;;
+Franchome;secret;Anjou;;;
+Isabelle de Lorraine;prince;Anjou;;;
+Bollumbrellus;secret;Anjou;;;
+Nicolao Perigaut;secret;Anjou;;;
+De Vaulx;secret;Anjou;;;
+Alardeau, Jean;secret;Anjou;;;
+Charnières;secret;Anjou;;;
+Nicolas;secret;Anjou;;;
+Rouxelet;secret;Anjou;;;
+Boursier;secret;Anjou;;;
+Petre;secret;Anjou;;;
+Ponce Caihe;secret;Anjou;;;
+J. Crete;secret;Anjou;;;
+J. de Vernon;secret;Anjou;;;
+Tourneville, Guillaume;secret;Anjou;;;

actes-princiers/docs/source/conf.py

@@ -26,7 +26,7 @@ from actes_princiers import __version__ as release
 # -- Project information -----------------------------------------------------
 
 project = "actes_princiers"
-author = "Kedro"
+author = "Jean-Damien"
 
 # The short X.Y version.
 version = re.match(r"^([0-9]+\.[0-9]+).*", release).group(1)

actes-princiers/notebooks/LoadDataCatalog.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "951f178d",
+   "id": "aeacd24e",
    "metadata": {},
    "source": [
     "# Catalogs\n",
@@ -33,18 +33,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 38,
    "id": "dc290e93",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[06/16/23 14:56:53] </span><span style=\"color: #000080; text-decoration-color: #000080\">INFO    </span> Loading data from <span style=\"color: #008000; text-decoration-color: #008000\">'actors'</span> <span style=\"font-weight: bold\">(</span>CSVDataSet<span style=\"font-weight: bold\">)</span><span style=\"color: #808000; text-decoration-color: #808000\">...</span>                         <a href=\"file:///media/gwen/maxtor/gwen/entrepot/cnrs/nicolas/depot/datascience/.venv/lib/python3.9/site-packages/kedro/io/data_catalog.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">data_catalog.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///media/gwen/maxtor/gwen/entrepot/cnrs/nicolas/depot/datascience/.venv/lib/python3.9/site-packages/kedro/io/data_catalog.py#345\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">345</span></a>\n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[06/16/23 15:56:44] </span><span style=\"color: #000080; text-decoration-color: #000080\">INFO    </span> Loading data from <span style=\"color: #008000; text-decoration-color: #008000\">'actors'</span> <span style=\"font-weight: bold\">(</span>CSVDataSet<span style=\"font-weight: bold\">)</span><span style=\"color: #808000; text-decoration-color: #808000\">...</span>                         <a href=\"file:///media/gwen/maxtor/gwen/entrepot/cnrs/nicolas/depot/datascience/.venv/lib/python3.9/site-packages/kedro/io/data_catalog.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">data_catalog.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///media/gwen/maxtor/gwen/entrepot/cnrs/nicolas/depot/datascience/.venv/lib/python3.9/site-packages/kedro/io/data_catalog.py#345\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">345</span></a>\n",
        "</pre>\n"
       ],
       "text/plain": [
-       "\u001b[2;36m[06/16/23 14:56:53]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Loading data from \u001b[32m'actors'\u001b[0m \u001b[1m(\u001b[0mCSVDataSet\u001b[1m)\u001b[0m\u001b[33m...\u001b[0m                         \u001b]8;id=755052;file:///media/gwen/maxtor/gwen/entrepot/cnrs/nicolas/depot/datascience/.venv/lib/python3.9/site-packages/kedro/io/data_catalog.py\u001b\\\u001b[2mdata_catalog.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=546933;file:///media/gwen/maxtor/gwen/entrepot/cnrs/nicolas/depot/datascience/.venv/lib/python3.9/site-packages/kedro/io/data_catalog.py#345\u001b\\\u001b[2m345\u001b[0m\u001b]8;;\u001b\\\n"
+       "\u001b[2;36m[06/16/23 15:56:44]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Loading data from \u001b[32m'actors'\u001b[0m \u001b[1m(\u001b[0mCSVDataSet\u001b[1m)\u001b[0m\u001b[33m...\u001b[0m                         \u001b]8;id=858812;file:///media/gwen/maxtor/gwen/entrepot/cnrs/nicolas/depot/datascience/.venv/lib/python3.9/site-packages/kedro/io/data_catalog.py\u001b\\\u001b[2mdata_catalog.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=44255;file:///media/gwen/maxtor/gwen/entrepot/cnrs/nicolas/depot/datascience/.venv/lib/python3.9/site-packages/kedro/io/data_catalog.py#345\u001b\\\u001b[2m345\u001b[0m\u001b]8;;\u001b\\\n"
       ]
      },
      "metadata": {},
@@ -86,8 +86,8 @@
        "      <td>prince</td>\n",
        "      <td>Bourbon</td>\n",
        "      <td>1400</td>\n",
-       "      <td>1434</td>\n",
+       "      <td>1434.0</td>\n",
-       "      <td>1456</td>\n",
+       "      <td>1456.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
@@ -95,7 +95,7 @@
        "      <td>secret</td>\n",
        "      <td>Bourbon</td>\n",
        "      <td>1425</td>\n",
-       "      <td>1440</td>\n",
+       "      <td>1440.0</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -104,7 +104,7 @@
        "      <td>secret</td>\n",
        "      <td>Berry</td>\n",
        "      <td>1404</td>\n",
-       "      <td>1405</td>\n",
+       "      <td>1405.0</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -113,8 +113,8 @@
        "      <td>prince</td>\n",
        "      <td>Berry</td>\n",
        "      <td>1337</td>\n",
-       "      <td>1360</td>\n",
+       "      <td>1360.0</td>\n",
-       "      <td>1416</td>\n",
+       "      <td>1416.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
@@ -122,8 +122,8 @@
        "      <td>prince</td>\n",
        "      <td>Bourbon</td>\n",
        "      <td>1407</td>\n",
-       "      <td>1434</td>\n",
+       "      <td>1434.0</td>\n",
-       "      <td>1476</td>\n",
+       "      <td>1476.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -131,14 +131,14 @@
       ],
       "text/plain": [
        "                     NAME    ROLE    HOUSE DATE1   DATE2   DATE3\n",
-       "0  Charles Ier de Bourbon  prince  Bourbon  1400  1434  1456\n",
+       "0  Charles Ier de Bourbon  prince  Bourbon  1400  1434.0  1456.0\n",
-       "1           Gort, Étienne  secret  Bourbon  1425  1440   NaN\n",
+       "1           Gort, Étienne  secret  Bourbon  1425  1440.0     NaN\n",
-       "2                   Erart  secret    Berry  1404  1405   NaN\n",
+       "2                   Erart  secret    Berry  1404  1405.0     NaN\n",
-       "3           Jean de Berry  prince    Berry  1337  1360  1416\n",
+       "3           Jean de Berry  prince    Berry  1337  1360.0  1416.0\n",
-       "4      Agnès de Bourgogne  prince  Bourbon  1407  1434  1476"
+       "4      Agnès de Bourgogne  prince  Bourbon  1407  1434.0  1476.0"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 38,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -150,7 +150,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "fbccaa41",
+   "id": "eedbc7fb",
    "metadata": {},
    "outputs": [
     {
@@ -171,7 +171,7 @@
   {
    "cell_type": "code",
    "execution_count": 20,
-   "id": "530a8932",
+   "id": "3168935f",
    "metadata": {},
    "outputs": [
     {
@@ -205,7 +205,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7f10c2c3",
+   "id": "902dd387",
    "metadata": {},
    "source": [
     "## Nettoyage des valeurs non renseignées\n",
@@ -217,7 +217,7 @@
   {
    "cell_type": "code",
    "execution_count": 37,
-   "id": "ea0451df",
+   "id": "24fc62ce",
    "metadata": {},
    "outputs": [
     {

actes-princiers/src/actes_princiers/pipelines/data_processing/__init__.py

@@ -0,0 +1,3 @@
+"Data Processing pipeline"
+
+from .pipeline import create_pipeline  # NOQA

actes-princiers/src/actes_princiers/pipelines/data_processing/nodes.py

@@ -0,0 +1,16 @@
+import pandas as pd
+import numpy as np
+
+def _is_true(x: pd.Series) -> pd.Series:
+    return x == "t"
+
+def _parse_percentage(x: pd.Series) -> pd.Series:
+    x = x.str.replace("%", "")
+    x = x.astype(float) / 100
+    return x
+
+def preprocess_actors(actors: pd.DataFrame) -> pd.DataFrame:
+    actors.replace("XXXX", np.NaN)
+    return actors
+
+

actes-princiers/src/actes_princiers/pipelines/data_processing/pipeline.py

@@ -0,0 +1,16 @@
+from kedro.pipeline import Pipeline, node, pipeline
+
+from .nodes import preprocess_actors
+
+
+def create_pipeline(**kwargs) -> Pipeline:
+    return pipeline(
+        [
+            node(
+                func=preprocess_actors,
+                inputs="actors",
+                outputs="preprocessed_actors",
+                name="preprocess_actors_node",
+            ),
+        ]
+    )