better description for 'decp'

updated Pipefile.lock
fixed Pipfile.lock
2024-05-27 19:02:38 +02:00 · 2024-05-27 17:24:28 +02:00 · 2024-05-27 17:15:55 +02:00 · 2024-05-27 16:13:58 +02:00 · 2024-04-29 02:05:13 +02:00 · 2024-04-17 22:37:26 +02:00
15 changed files with 334 additions and 521 deletions
@@ -1,2 +1 @@
-*.db
-.idea
+*.db
@@ -4,13 +4,11 @@ verify_ssl = true
 name = "pypi"

 [packages]
-dash = "*"
-pandas = "*"
-sqlalchemy = "*"
-plotly = {io = "*"}
-dash_bootstrap_components = "*"
+datasette = "*"
+openpyxl = "*"
+datasette-cluster-map = {git = "https://github.com/ColinMaudry/datasette-cluster-map.git"}

 [dev-packages]

 [requires]
-python_version = "3.9"
+python_version = "3"
@@ -1,11 +1,11 @@
 {
    "_meta": {
        "hash": {
-            "sha256": "450b3596ef02df5410e9ca9f7b3dabaa0fc28e9a9014ae51d3ffae566e9238ec"
+            "sha256": "f41809c4a9d8321eb4b3ab4af7c59601e3066356ff054e612e3cdcd2a06a98be"
        },
        "pipfile-spec": 6,
        "requires": {
-            "python_version": "3.9"
+            "python_version": "3"
        },
        "sources": [
            {
@@ -16,426 +16,363 @@
        ]
    },
    "default": {
-        "brotli": {
+        "aiofiles": {
            "hashes": [
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-                "sha256:16d528a45c2e1909c2798f27f7bf0a3feec1dc9e50948e738b961618e38b6a7b",
-                "sha256:19598ecddd8a212aedb1ffa15763dd52a388518c4550e615aed88dc3753c0f0c",
-                "sha256:1c48472a6ba3b113452355b9af0a60da5c2ae60477f8feda8346f8fd48e3e87c",
-                "sha256:268fe94547ba25b58ebc724680609c8ee3e5a843202e9a381f6f9c5e8bdb5c70",
-                "sha256:269a5743a393c65db46a7bb982644c67ecba4b8d91b392403ad8a861ba6f495f",
-                "sha256:26d168aac4aaec9a4394221240e8a5436b5634adc3cd1cdf637f6645cecbf181",
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-                "sha256:b83bb06a0192cccf1eb8d0a28672a1b79c74c3a8a5f2619625aeb6f28b3a82bb",
-                "sha256:c2415d9d082152460f2bd4e382a1e85aed233abc92db5a3880da2257dc7daf7b",
-                "sha256:c83aa123d56f2e060644427a882a36b3c12db93727ad7a7b9efd7d7f3e9cc2c4",
-                "sha256:cfc391f4429ee0a9370aa93d812a52e1fee0f37a81861f4fdd1f4fb28e8547c3",
-                "sha256:db844eb158a87ccab83e868a762ea8024ae27337fc7ddcbfcddd157f841fdfe7",
-                "sha256:defed7ea5f218a9f2336301e6fd379f55c655bea65ba2476346340a0ce6f74a1",
-                "sha256:e16eb9541f3dd1a3e92b89005e37b1257b157b7256df0e36bd7b33b50be73bcb",
-                "sha256:e23281b9a08ec338469268f98f194658abfb13658ee98e2b7f85ee9dd06caa91",
-                "sha256:e2d9e1cbc1b25e22000328702b014227737756f4b5bf5c485ac1d8091ada078b",
-                "sha256:e48f4234f2469ed012a98f4b7874e7f7e173c167bed4934912a29e03167cf6b1",
-                "sha256:e4c4e92c14a57c9bd4cb4be678c25369bf7a092d55fd0866f759e425b9660806",
-                "sha256:ec1947eabbaf8e0531e8e899fc1d9876c179fc518989461f5d24e2223395a9e3",
-                "sha256:f909bbbc433048b499cb9db9e713b5d8d949e8c109a2a548502fb9aa8630f0b1"
+                "sha256:19297512c647d4b27a2cf7c34caa7e405c0d60b5560618a29a9fe027b18b0107",
+                "sha256:84ec2218d8419404abcb9f0c02df3f34c6e0a68ed41072acfb1cef5cbc29051a"
            ],
-            "version": "==1.0.9"
+            "markers": "python_version >= '3.7'",
+            "version": "==23.2.1"
+        },
+        "anyio": {
+            "hashes": [
+                "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94",
+                "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"
+            ],
+            "markers": "python_version >= '3.8'",
+            "version": "==4.4.0"
+        },
+        "asgi-csrf": {
+            "hashes": [
+                "sha256:6e9d3bddaeac1a8fd33b188fe2abc8271f9085ab7be6e1a7f4d3c9df5d7f741a",
+                "sha256:e974cffb8a4ab84a28a0088acbf7a4ecc5be4a64f08dcbe19c60dea103da01c0"
+            ],
+            "version": "==0.9"
+        },
+        "asgiref": {
+            "hashes": [
+                "sha256:3e1e3ecc849832fe52ccf2cb6686b7a55f82bb1d6aee72a58826471390335e47",
+                "sha256:c343bd80a0bec947a9860adb4c432ffa7db769836c64238fc34bdc3fec84d590"
+            ],
+            "markers": "python_version >= '3.8'",
+            "version": "==3.8.1"
+        },
+        "certifi": {
+            "hashes": [
+                "sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f",
+                "sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1"
+            ],
+            "markers": "python_version >= '3.6'",
+            "version": "==2024.2.2"
        },
        "click": {
            "hashes": [
-                "sha256:353f466495adaeb40b6b5f592f9f91cb22372351c84caeb068132442a4518ef3",
-                "sha256:410e932b050f5eed773c4cda94de75971c89cdb3155a72a0831139a79e5ecb5b"
+                "sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28",
+                "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de"
            ],
-            "markers": "python_version >= '3.6'",
-            "version": "==8.0.3"
+            "markers": "python_version >= '3.7'",
+            "version": "==8.1.7"
        },
-        "dash": {
+        "click-default-group": {
            "hashes": [
-                "sha256:5c19cddad8dcf473ce0cc9a8aa40f7fc8f2b7856f7daad1f8bcd992a8203b8c0",
-                "sha256:b5b29a3e2862a6700cf50582d81bda4edfe57d47e1c71c519a6c87f9187587e5"
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+            ],
+            "markers": "python_version >= '2.7'",
+            "version": "==1.2.4"
+        },
+        "datasette": {
+            "hashes": [
+                "sha256:158dbdfab1a4c613da7757518444a7664ecd39f54a617304edff4f119dd057df",
+                "sha256:85ca3aabca64fd9560052042aec27d3b32a1f85303853da3550434866d0fa539"
            ],
            "index": "pypi",
-            "version": "==2.1.0"
+            "version": "==0.64.6"
        },
-        "dash-bootstrap-components": {
-            "hashes": [
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-            ],
-            "index": "pypi",
-            "version": "==1.0.2"
+        "datasette-cluster-map": {
+            "git": "https://github.com/ColinMaudry/datasette-cluster-map.git",
+            "ref": "ab9c0d79448efbd737d9487bfcee227246ef3b87"
        },
-        "dash-core-components": {
+        "datasette-leaflet": {
            "hashes": [
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-                "sha256:cb90f62f1d8e4dc4621f52106613488b5ba826b2e1e10a33eac92f723093ab6a"
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            ],
            "markers": "python_version >= '3.6'",
-            "version": "==2.0.2"
+            "version": "==0.2.2"
        },
-        "flask-compress": {
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            "hashes": [
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            ],
-            "version": "==1.10.1"
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+            "version": "==1.1.0"
        },
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+                "sha256:e7d73685e87afe9f3b36c799222440d6cf362062f78be1013661b00c5c6f678b",
+                "sha256:f003ed9ad21d6a4713f0a9b5a7a0a79e08dd0f221aff4525a2be4c346ee60aab",
+                "sha256:f22ac1c3cac4dbc50079e965eba2c1058622631e526bd9afd45fedd49ba781fa",
+                "sha256:faca3bdcf85b2fc05d06ff3fbc1f83e1391b3e724afa3feba7d13eeab355484c",
+                "sha256:fca0e3a251908a499833aa292323f32437106001d436eca0e6e7833256674585",
+                "sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d",
+                "sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f"
            ],
            "markers": "python_version >= '3.6'",
-            "version": "==8.0.1"
+            "version": "==6.0.1"
        },
-        "werkzeug": {
+        "setuptools": {
            "hashes": [
-                "sha256:63d3dc1cf60e7b7e35e97fa9861f7397283b75d765afcaefd993d6046899de8f",
-                "sha256:aa2bb6fc8dee8d6c504c0ac1e7f5f7dc5810a9903e793b6f715a9f015bdadb9a"
+                "sha256:54faa7f2e8d2d11bcd2c07bed282eef1046b5c080d1c32add737d7b5817b1ad4",
+                "sha256:f211a66637b8fa059bb28183da127d4e86396c991a942b028c6650d4319c3fd0"
            ],
-            "markers": "python_version >= '3.6'",
-            "version": "==2.0.2"
+            "markers": "python_version >= '3.8'",
+            "version": "==70.0.0"
+        },
+        "sniffio": {
+            "hashes": [
+                "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2",
+                "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"
+            ],
+            "markers": "python_version >= '3.7'",
+            "version": "==1.3.1"
+        },
+        "typing-extensions": {
+            "hashes": [
+                "sha256:8cbcdc8606ebcb0d95453ad7dc5065e6237b6aa230a31e81d0f440c30fed5fd8",
+                "sha256:b349c66bea9016ac22978d800cfff206d5f9816951f12a7d0ec5578b0a819594"
+            ],
+            "markers": "python_version < '3.11'",
+            "version": "==4.12.0"
+        },
+        "uvicorn": {
+            "hashes": [
+                "sha256:2c2aac7ff4f4365c206fd773a39bf4ebd1047c238f8b8268ad996829323473de",
+                "sha256:6a69214c0b6a087462412670b3ef21224fa48cae0e452b5883e8e8bdfdd11dd0"
+            ],
+            "markers": "python_version >= '3.8'",
+            "version": "==0.29.0"
        }
    },
    "develop": {}
@@ -2,15 +2,25 @@

 Outil d'exploration et de téléchargement des données essentielles de la commande publique.

-=> https://decp.info
+=> [decp.info](https://decp.info)

-Dépôts de code connexes :
+## Installation et lancement
+
+```shell
+pipenv install
+pipenv run scripts/start-datasette.sh
+```
+## Dépôts de code connexes

 - [decp-table-schema-utils](https://github.com/ColinMaudry/decp-table-schema-utils) (traitement et publication des données)
 - [decp-table-schema](https://github.com/ColinMaudry/decp-table-schema) (schéma de données tabulaire)

 ## Notes de version

+### 1.5.0 (28/01/2023
+
+- fixation des dépendances Python pour plus de stabilité en cas de réinstallation (Pipfile)
+
 #### 1.4.1 (14/06/2021)

 - ajout des traductions des opérations de filtrage à toutes les vues, pas seulement /db/decp
@@ -1,11 +1,14 @@
 {
  "db": {
-    "hash": "e7781c4da0df3983d9e8bfc09d513162302d787bff766e3cfee2dd5dcd272b85",
-    "size": 121118720,
+    "hash": "c34d4019345c44c017c4d4bf8f3ec112d7b1e1ed36609c192410106188161e2d",
+    "size": 636264448,
    "file": "datasette/db.db",
    "tables": {
      "decp": {
-        "count": 292374
+        "count": 930029
+      },
+      "decp-sans-titulaires": {
+        "count": 832806
      }
    }
  }
@@ -16,7 +16,7 @@ databases:
      decp:
        title: Marchés et titulaires (= DECP)
        description_html: |-
-          Marché publics et leurs titulaires, données équivalentes au <a href="https://139bercy.github.io/decp-docs/schemas/">format réglementaire</a>. Une ligne = un titulaire de marché, donc ces données ne sont pas adaptées pour travailler avec les montants de marché ou compter les marchés.
+          Marché publics et leurs titulaires, données équivalentes au <a href="https://github.com/139bercy/format-commande-publique/">format réglementaire</a> de 2019. Une ligne = un titulaire de marché, donc ces données ne sont pas adaptées pour travailler avec les montants de marché ou compter les marchés. En effet, si un marché a plusieurs titulaires, chaque ligne répètre le montant total du marché. Pour avoir une ligne par marché (mais pas de données sur les titulaires), vous pouvez utiliser <a href="https://decp.info/db/decp-sans-titulaires">decp-sans-titulaires</a>.
        size: 40
        download: https://www.data.gouv.fr/fr/datasets/r/8587fe77-fb31-4155-8753-f6a3c5e0f5c9
        column_labels:
@@ -121,10 +121,8 @@ databases:
          anomalies: Anomalies
          codeAPE: Code APE
          departement: Département
-          categorie: Catégorie
+          categorieEntreprise: Catégorie
          categorieJuridique: Catégorie juridique
-          categorieJuridiqueLibelle1: Catégorie juridique niveau 1
-          categorieJuridiqueLibelle2: Catégorie juridique niveau 2
          etatEtablissement: État établissement
          etatEntreprise: État entreprise
          longitude: Longitude
@@ -1,9 +1,8 @@
 from datasette import hookimpl
 from datasette.utils.asgi import Response
 from openpyxl import Workbook
-from openpyxl.writer.excel import save_virtual_workbook
 from openpyxl.cell import WriteOnlyCell
-from openpyxl.styles import Alignment, Font, PatternFill
+from openpyxl.styles import Alignment, PatternFill
 from tempfile import NamedTemporaryFile


@@ -7,6 +7,5 @@
  "force_https_urls": 1,
  "allow_facet": "off",
  "suggest_facets": "off",
-  "template_debug": 1,
-  "hash_urls": 1
+  "template_debug": 1
 }
@@ -92,6 +92,9 @@ div.select-wrapper {
 div.select-wrapper.filter-op {
    width: 160px;
 }
+svg.dropdown-menu-icon {
+    display: none;
+}


 /*
@@ -200,7 +200,7 @@
                Options CSV :
                <label><input type="checkbox" name="_dl"> télécharger le fichier</label>
                {% if expandable_columns %}<label><input type="checkbox" name="_labels" checked> récupérer les libellés</label>{% endif %}
-                {% if next_url and config.allow_csv_stream %}<label><input type="checkbox" name="_stream"> stream de lignes</label>{% endif %}
+                {% if next_url %}<label><input type="checkbox" name="_stream"> stream de lignes</label>{% endif %}
                <input type="submit" value="Exporter le CSV">
                {% for key, value in url_csv_hidden_args %}
                    <input type="hidden" name="{{ key }}" value="{{ value }}">
@@ -1,6 +1,6 @@
 #!/usr/bin/env bash

-echo "Get data..."
+echo "Getting data from data.gouv.fr..."
 wget -nv https://www.data.gouv.fr/fr/datasets/r/c6b08d03-7aa4-4132-b5b2-fd76633feecc -O datasette/db.db

 datasette inspect datasette/*.db --inspect-file=datasette/inspect-data.json
@@ -1,6 +0,0 @@
-import dash
-import dash_bootstrap_components as dbc
-
-app = dash.Dash("trackdechets-public-dash", title='DECP.info : statistiques',
-                external_stylesheets=[dbc.themes.GRID], suppress_callback_exceptions=True)
-server = app.server
@@ -1,32 +0,0 @@
-from dash import html, dcc
-import plotly.io as pio
-from os import getenv
-from app import app
-from dash.dependencies import Input, Output
-from views import siret
-
-pio.templates.default = "none"
-
-
-app.layout = html.Div([
-    dcc.Store(id='memory'),
-    dcc.Location(id='url', refresh=False),
-    html.Div(id='page-content'),
-    html.Div(id='debug')
-])
-
-
-@app.callback(Output('page-content', 'children'),
-              # Output('debug', 'children'),
-              Input('url', 'pathname'))
-def display_page(pathname):
-
-    if pathname.startswith('/siret/'):
-        return [siret.layout]
-    else:
-        return ['Page inconnue...', pathname]
-
-
-if __name__ == '__main__':
-    port = getenv('PORT', 8050)
-    app.run_server(debug=True, host='0.0.0.0', port=int(port))
@@ -1,95 +0,0 @@
-import json
-from dash import html, dcc
-import dash_bootstrap_components as dbc
-import pandas as pd
-from dash.dependencies import Input, Output
-from app import app
-import re
-
-SIRET = '20004525000012'
-
-
-def fn(input_number) -> str:
-    return '{:,.0f}'.format(input_number).replace(',', ' ')
-
-
-def get_siret(pathname: str) -> str:
-    return pathname.split('/')[2]
-
-
-layout = html.Div(id='stats')
-
-
-@app.callback(Output('memory', 'data'),
-              Input('url', 'pathname'),
-              Input('memory', 'data'))
-def get_marches(pathname, data):
-    regex = re.compile('^/siret/[0-9a-z]{14}$')
-    if regex.match(pathname):
-        siret = get_siret(pathname)
-
-        if type(data) == dict and data['siret']:
-            pass
-
-        df_marches: pd.DataFrame = pd.read_csv(
-            f'https://decp.info/db/decp-sans-titulaires.csv?_sort=uid&acheteur.id__exact={siret}&_size=max&_dl=1',
-            true_values=['oui'],
-            false_values=['non'])
-        # df_marches = df_marches[df_marches['donneesActuelles'] == 'oui']
-        df_marches['anneeNotification'] = df_marches['dateNotification'].str[:4]
-
-        df_attributions: pd.DataFrame = pd.read_csv(
-            f'https://decp.info/db/decp.csv?_sort=uid&acheteur.id__exact={siret}&_size=max&_dl=1',
-            true_values=['oui'],
-            false_values=['non'])
-        # df_attributions = df_attributions[df_attributions['donneesActuelles'] == 'oui']
-        df_attributions['anneeNotification'] = df_attributions['dateNotification'].str[:4]
-
-        datasets = {
-            'marches': df_marches.to_json(date_format='iso', orient='split'),
-            'attributions': df_attributions.to_json(date_format='iso', orient='split'),
-        }
-
-        return json.dumps(datasets)
-
-
-@app.callback(Output('stats', 'children'),
-              Input('url', 'pathname'),
-              Input('memory', 'data'))
-def generateYears(pathname, json_data) -> [dbc.Row]:
-    siret = pathname.split('/')[2]
-    print(siret)
-    years = ['2022', '2021', '2020']
-    result = [dbc.Row([
-        html.H2('Par année')
-    ])]
-    dataset = json.loads(json_data)
-    df_marches = pd.read_json(dataset['marches'], orient='split')
-    for year in years:
-        df_marches_year = df_marches[df_marches['anneeNotification'] == int(year)]
-        # df_attributions_year = df_attributions[df_attributions['anneeNotification'] == year]
-        row = dbc.Row([
-            dbc.Col([
-                dbc.Row([
-                    html.H3(year),
-                    html.A('Télécharger les données', href=f'https://decp.info/db/decp.xlsx?'
-                                                           f'_sort=rowid'
-                                                           f'&dateNotification__startswith={year}'
-                                                           f'&acheteur.id__exact={siret}'
-                                                           f'&_size=max&_dl=1')
-                ]),
-                dbc.Row([
-                    dbc.Col([
-                        html.H4('Marchés attribués'),
-                        html.P(df_marches_year.index.size)]),
-                    dbc.Col([
-                        html.H4('Montant total attribué'),
-                        html.P(fn(df_marches_year['montant'].sum()) + ' euros')]),
-                    # dbc.Col([
-                    #     html.H4('Titulaires différents'),
-                    #     html.P(str(df_attributions_year['titulaire.id'].unique().size))])
-                ])
-            ])
-        ])
-        result.append(row)
-    return result
Author	SHA1	Message	Date
Colin Maudry	1ff1cfe05e	better description for 'decp'	2024-05-27 19:02:38 +02:00
Colin Maudry	57945cc61d	updated Pipefile.lock	2024-05-27 17:24:28 +02:00
Colin Maudry	8255b3dea2	fixed Pipfile.lock	2024-05-27 17:15:55 +02:00
Colin Maudry	1abb7e0aaa	inspect-data.json	2024-05-27 16:13:58 +02:00
Colin Maudry	ead723d520	ajout des autres tables, avec quelques modifs sur decp-titulaires seul 1 libellé de catégéorie juridique, categorie => categorieEntreprise	2024-04-29 02:05:13 +02:00
Colin Maudry	94ba3b1fc5	removed tables that are not ready, adapted intro text	2024-04-17 22:37:26 +02:00
Colin Maudry	bfe3bdc217	removed unused importsé	2024-04-17 22:36:28 +02:00
Colin Maudry	53cb02932c	merged	2024-04-17 22:35:43 +02:00
Colin Maudry	4e3694ada7	hide facet icon in headers	2024-04-17 22:30:18 +02:00
Colin Maudry	8c56bdaabe	python 3.x instead of python 3.10	2023-02-02 14:09:35 +01:00
Colin Maudry	388d2993cc	python 3.x instead of python 3.10	2023-02-02 14:06:50 +01:00
Colin Maudry	8e91737a4b	Merge branch 'bugfix/1.5.0' into develop	2023-01-29 17:29:56 +01:00
Colin Maudry	d9420468ba	Amélioration logs script	2023-01-29 17:28:10 +01:00
Colin Maudry	950fb7865a	Ajout de datasette-cluster map dans les deps	2023-01-29 17:26:56 +01:00
Colin Maudry	98bb73a7aa	Freeze dependencies, remove reference to config var	2023-01-28 13:47:31 +01:00
Colin Maudry	282b30f515	Merge tag 'v1.4.1' into develop ajout des traductions des opérations de filtrage à toutes les vues, pas seulement /db/decp	2021-06-14 17:34:27 +02:00
Colin Maudry	e9f4f50d51	Merge tag 'v1.4.0' into develop Meilleurs ergonomie pour les filtres	2021-06-14 17:05:01 +02:00