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Ajout de l'utilitaire permettant la synchro avec grist (#496)
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utils/grist-sync/.env.sample

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GRIST_ACCESS_TOKEN="your_airtable_access_token"
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GRIST_DOCUMENT_ID="your_airtable_base_id"
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GRIST_TABLE_NAME="your_airtable_table_name"
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PIVOT_COLUMN="your_joint_key"
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COLUMNS_TO_CHECK="your,columns,to,check"
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CSV_EXPORT_URL="your_csv_export_url"

utils/grist-sync/.gitignore

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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# commonly ignored for libraries.
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/

utils/grist-sync/README.md

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# sync-pcrs-projects
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Synchronise une base airtable depuis un CSV.
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## Installation
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Créer un environnement virtuel:
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```bash
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python -m venv venv
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```
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Activer l'environnement virtuel:
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```bash
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source venv/bin/activate # Linux
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venv\Scripts\activate # Windows
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```
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Installer les dépendances:
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```bash
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pip install -r requirements.txt
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```
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## Configuration
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Créer un fichier `.env` à la racine du projet:
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```bash
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cp .env.example .env
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```
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Modifier les variables d'environnement dans le fichier `.env`:
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```py
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GRIST_ACCESS_TOKEN="your_grist_access_token"
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GRIST_DOCUMENT_ID="your_grist_document_id"
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GRIST_TABLE_NAME="your_grist_table_name"
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PIVOT_COLUMN="your_joint_key" # La clé permettant de faire la jointure entre les deux tables
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COLUMNS_TO_CHECK="your,columns,to,check" # Les colonnes à vérifier pour savoir si une ligne doit être mise à jour
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CSV_EXPORT_URL="your_csv_export_url" # Un lien vers un fichier CSV
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```
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## Utilisation
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Lancer le script:
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```bash
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python src/sync.py
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```

utils/grist-sync/requirements.txt

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requests
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pandas
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python-dotenv

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