Feat implement generate gdpr export python

python/generate-gdpr-export/README.md

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+# 📷 Object Detection using Cloudmersive Vision API
+A sample Python Cloud Function for exporting doctuments to csv format and saving it to the user storage. 
+
+## 📝 Environment Variables
+Add the following environment variables in your Cloud Functions settings.
+
+* **APPWRITE_API_KEY** - Create a key from the Appwrite console with the following scope (`collections.read, documents.read,files.write`)
+* **APPWRITE_ENDPOINT** - Your Appwrite Endpoint
+
+
+## 🚀 Building and Packaging
+
+To package this example as a cloud function, follow these steps.
+
+```bash
+$ cd demos-for-functions/python/generate-gdpr-export
+
+$ PIP_TARGET=./.appwrite pip install -r ./requirements.txt --upgrade --ignore-installed
+```
+
+* Ensure that your folder structure looks like this 
+```
+.
+├── .appwrite/
+├── main.py
+└── requirements.txt
+```
+
+* Create a tarfile
+
+```bash
+$ cd ..
+$ tar -zcvf code.tar.gz generate-gdpr-export
+```
+
+* Upload the tarfile to your Appwrite Console and use the following entrypoint command
+
+```bash
+python main.py
+```
+
+## 🎯 Trigger
+
+To trigger this function you will need to create an execution by means of the WebSDK in order to get the user context.

python/generate-gdpr-export/main.py

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+# Perform all your imports
+
+import os
+import csv
+import datetime
+from appwrite.client import Client
+from appwrite.services.database import Database
+from appwrite.services.storage import Storage
+
+# Initialise the Appwrite client
+client = Client()
+client.set_endpoint(os.environ["APPWRITE_ENDPOINT"])  # Your API Endpoint
+client.set_project(os.environ["APPWRITE_FUNCTION_PROJECT_ID"])  # Your project ID
+client.set_key(os.environ["APPWRITE_API_KEY"])  # Your secret API key
+
+all_documents = []
+
+user_id = os.environ['APPWRITE_FUNCTION_USER_ID']
+user = f'user:{user_id}'
+
+database = Database(client)
+off_col = 0  # For the API pagination - collections
+while True:
+    collections = database.list_collections(limit=100, offset=off_col)
+    for collection in collections['collections']:
+        collection_id = collection['$id']
+        off_doc = 0  # For the API pagination - documents
+        while True:
+            documents = database.list_documents(collection_id, limit=100, offset=off_doc)
+            for document in documents['documents']:
+                if user in document['$permissions']['read'] or '*' in document['$permissions']['read']:
+                    all_documents.append(document)
+            off_doc += 100
+            if documents['sum'] <= off_doc:
+                break
+
+    off_col += 100
+    if collections['sum'] <= off_col:
+        break
+
+# Create csv from the list of dictionaries
+columns = []
+for d in all_documents:
+    for key in d.keys():
+        if key not in columns:
+            columns.append(key)
+timestamp = datetime.datetime.now().isoformat()
+file_name = f"{user_id}_{timestamp}.csv"
+with open(file_name, 'w', newline='') as f:
+    csv_writer = csv.DictWriter(f, fieldnames=columns, restval='')
+    csv_writer.writeheader()
+    csv_writer.writerows(all_documents)
+
+storage = Storage(client)
+result = storage.create_file(open(file_name, 'rb'), [user])
+os.remove(file_name)

python/generate-gdpr-export/requirements.txt

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+appwrite