appwrite/agent-skills/appwrite-python

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Appwrite Python SDK skill. Use when building server-side Python applications with Appwrite, including Django, Flask, and FastAPI integrations. Covers user management, database/table CRUD, file storage, and functions via API keys.

Install

npx vskill@latest install appwrite/agent-skills/appwrite-python

SKILL.md

Appwrite Python SDK

Installation

bash
pip install appwrite

Setting Up the Client

python
from appwrite.client import Client
from appwrite.id import ID
from appwrite.query import Query
from appwrite.services.users import Users
from appwrite.services.tables_db import TablesDB
from appwrite.services.storage import Storage
from appwrite.services.functions import Functions
from appwrite.enums.o_auth_provider import OAuthProvider
import os
client = (Client()
.set_endpoint('https://<REGION>.cloud.appwrite.io/v1')
.set_project(os.environ['APPWRITE_PROJECT_ID'])
.set_key(os.environ['APPWRITE_API_KEY']))

Code Examples

User Management
python
users = Users(client)
# Create user
user = users.create(ID.unique(), 'user@example.com', None, 'password123', 'User Name')
# List users
result = users.list([Query.limit(25)])
# Get user
fetched = users.get('[USER_ID]')
# Delete user
users.delete('[USER_ID]')
Database Operations
Note: Use TablesDB (not the deprecated Databases class) for all new code. Only use Databases if the existing codebase already relies on it or the user explicitly requests it.
Tip: Prefer keyword arguments (e.g., database_id='...') over positional arguments for all SDK method calls. Only use positional style if the existing codebase already uses it or the user explicitly requests it.
python
tables_db = TablesDB(client)
# Create database
db = tables_db.create(ID.unique(), 'My Database')
# Create row
doc = tables_db.create_row('[DATABASE_ID]', '[TABLE_ID]', ID.unique(), {
'title': 'Hello World'
})
# Query rows
results = tables_db.list_rows('[DATABASE_ID]', '[TABLE_ID]', [
Query.equal('title', 'Hello World'),
Query.limit(10)
])
# Get row
row = tables_db.get_row('[DATABASE_ID]', '[TABLE_ID]', '[ROW_ID]')
# Update row
tables_db.update_row('[DATABASE_ID]', '[TABLE_ID]', '[ROW_ID]', {
'title': 'Updated'
})
# Delete row
tables_db.delete_row('[DATABASE_ID]', '[TABLE_ID]', '[ROW_ID]')
String Column Types
Note: The legacy string type is deprecated. Use explicit column types for all new columns.
TypeMax charactersIndexingStorage
varchar16,383Full index (if size ≤ 768)Inline in row
text16,383Prefix onlyOff-page
mediumtext4,194,303Prefix onlyOff-page
longtext1,073,741,823Prefix onlyOff-page
  • varchar is stored inline and counts towards the 64 KB row size limit. Prefer for short, indexed fields like names, slugs, or identifiers.
  • text, mediumtext, and longtext are stored off-page (only a 20-byte pointer lives in the row), so they don't consume the row size budget. size is not required for these types.
python
# Create table with explicit string column types
tables_db.create_table(
database_id='[DATABASE_ID]',
table_id=ID.unique(),
name='articles',
columns=[
{'key': 'title', 'type': 'varchar', 'size': 255, 'required': True}, # inline, fully indexable
{'key': 'summary', 'type': 'text', 'required': False}, # off-page, prefix index only
{'key': 'body', 'type': 'mediumtext', 'required': False}, # up to ~4 M chars
{'key': 'raw_data', 'type': 'longtext', 'required': False}, # up to ~1 B chars
]
)
Query Methods
python
# Filtering
Query.equal('field', 'value') # == (or pass list for IN)
Query.not_equal('field', 'value') # !=
Query.less_than('field', 100) # <
Query.less_than_equal('field', 100) # <=
Query.greater_than('field', 100) # >
Query.greater_than_equal('field', 100) # >=
Query.between('field', 1, 100) # 1 <= field <= 100
Query.is_null('field') # is null
Query.is_not_null('field') # is not null
Query.starts_with('field', 'prefix') # starts with
Query.ends_with('field', 'suffix') # ends with
Query.contains('field', 'sub') # contains (string or array)
Query.search('field', 'keywords') # full-text search (requires index)
# Sorting
Query.order_asc('field')
Query.order_desc('field')
# Pagination
Query.limit(25) # max rows (default 25, max 100)
Query.offset(0) # skip N rows
Query.cursor_after('[ROW_ID]') # cursor pagination (preferred)
Query.cursor_before('[ROW_ID]')
# Selection & Logic
Query.select(['field1', 'field2']) # return only specified fields
Query.or_queries([Query.equal('a', 1), Query.equal('b', 2)]) # OR
Query.and_queries([Query.greater_than('age', 18), Query.less_than('age', 65)]) # AND (default)
Query.relationship('comments', [Query.equal('approved', True), Query.limit(25)]) # related documents
# Aggregations (optional alias)
Query.count('*', 'total')
Query.sum('amount', 'revenue')
Query.avg('score', 'avg_score')
Query.min('price', 'min_price')
Query.max('price', 'max_price')
# Grouping
Query.group_by(['status', 'year'])
Query.having([Query.greater_than('total', 1)])
Query.distinct()
# Joins (table id, left key, right key, operator, alias)
Query.join('orders', '$id', 'customerId')
Query.left_join('orders', '$id', 'customerId', '=', 'ord')
Query.left_join('orders', 'ord', [
Query.on('$id', 'customerId'),
Query.equal('ord.status', 'paid'),
])
# Fluent builder. Pass build() into list methods.
queries = (
Query.builder()
.equal('status', 'published')
.left_join('orders', '$id', 'customerId', '=', 'ord')
.count('*', 'total')
.group_by(['status'])
.limit(25)
.build()
)
tables_db.list_rows('[DATABASE_ID]', '[TABLE_ID]', queries)
File Storage
python
from appwrite.input_file import InputFile
storage = Storage(client)
# Upload file
file = storage.create_file('[BUCKET_ID]', ID.unique(), InputFile.from_path('/path/to/file.png'))
# List files
files = storage.list_files('[BUCKET_ID]')
# Delete file
storage.delete_file('[BUCKET_ID]', '[FILE_ID]')
InputFile Factory Methods
python
from appwrite.input_file import InputFile
InputFile.from_path('/path/to/file.png') # from filesystem path
InputFile.from_bytes(byte_data, 'file.png') # from bytes
InputFile.from_string('Hello world', 'hello.txt') # from string content
Teams
python
from appwrite.services.teams import Teams
teams = Teams(client)
# Create team
team = teams.create(ID.unique(), 'Engineering')
# List teams
team_list = teams.list()
# Create membership (invite user by email)
membership = teams.create_membership('[TEAM_ID]', roles=['editor'], email='user@example.com')
# List memberships
members = teams.list_memberships('[TEAM_ID]')
# Update membership roles
teams.update_membership('[TEAM_ID]', '[MEMBERSHIP_ID]', roles=['admin'])
# Delete team
teams.delete('[TEAM_ID]')
Role-based access: Use Role.team('[TEAM_ID]') for all team members or Role.team('[TEAM_ID]', 'editor') for a specific team role when setting permissions.
Serverless Functions
python
functions = Functions(client)
# Execute function
execution = functions.create_execution('[FUNCTION_ID]', body='{"key": "value"}')
# List executions
executions = functions.list_executions('[FUNCTION_ID]')
Writing a Function Handler (Python runtime)
python
# src/main.py — Appwrite Function entry point
def main(context):
# context.req — request object
# .body — raw request body (string)
# .body_json — parsed JSON body (dict, or None if not JSON)
# .headers — request headers (dict)
# .method — HTTP method (GET, POST, etc.)
# .path — URL path
# .query — parsed query parameters (dict)
# .query_string — raw query string
context.log('Processing: ' + context.req.method + ' ' + context.req.path)
if context.req.method == 'GET':
return context.res.json({'message': 'Hello from Appwrite Function!'})
data = context.req.body_json or {}
if 'name' not in data:
context.error('Missing name field')
return context.res.json({'error': 'Name is required'}, 400)
# Response methods
return context.res.json({'success': True}) # JSON response
# return context.res.text('Hello') # plain text
# return context.res.empty() # 204 No Content
# return context.res.redirect('https://example.com') # 302 Redirect
# return context.res.send('data', 200, {'X-Custom': '1'}) # custom response
Server-Side Rendering (SSR) Authentication

SSR apps (Flask, Django, FastAPI, etc.) use the server SDK to handle auth. You need two clients:

  • Admin client — uses an API key, creates sessions, bypasses rate limits (reusable singleton)
  • Session client — uses a session cookie, acts on behalf of a user (create per-request, never share)
python
from appwrite.client import Client
from appwrite.services.account import Account
from flask import request, jsonify, make_response, redirect
# Admin client (reusable)
admin_client = (Client()
.set_endpoint('https://<REGION>.cloud.appwrite.io/v1')
.set_project('[PROJECT_ID]')
.set_key(os.environ['APPWRITE_API_KEY']))
# Session client (create per-request)
session_client = (Client()
.set_endpoint('https://<REGION>.cloud.appwrite.io/v1')
.set_project('[PROJECT_ID]'))
session = request.cookies.get('a_session_[PROJECT_ID]')
if session:
session_client.set_session(session)
Email/Password Login
python
@app.post('/login')
def login():
account = Account(admin_client)
session = account.create_email_password_session(
request.json['email'], request.json['password']
)
# Cookie name must be a_session_<PROJECT_ID>
resp = make_response(jsonify({'success': True}))
resp.set_cookie('a_session_[PROJECT_ID]', session['secret'],
httponly=True, secure=True, samesite='Strict',
expires=session['expire'], path='/')
return resp
Authenticated Requests
python
@app.get('/user')
def get_user():
session = request.cookies.get('a_session_[PROJECT_ID]')
if not session:
return jsonify({'error': 'Unauthorized'}), 401
session_client = (Client()
.set_endpoint('https://<REGION>.cloud.appwrite.io/v1')
.set_project('[PROJECT_ID]')
.set_session(session))
account = Account(session_client)
return jsonify(account.get())
OAuth2 SSR Flow
python
# Step 1: Redirect to OAuth provider
@app.get('/oauth')
def oauth():
account = Account(admin_client)
redirect_url = account.create_o_auth2_token(
OAuthProvider.Github,
'https://example.com/oauth/success',
'https://example.com/oauth/failure',
)
return redirect(redirect_url)
# Step 2: Handle callback — exchange token for session
@app.get('/oauth/success')
def oauth_success():
account = Account(admin_client)
session = account.create_session(request.args['userId'], request.args['secret'])
resp = make_response(jsonify({'success': True}))
resp.set_cookie('a_session_[PROJECT_ID]', session['secret'],
httponly=True, secure=True, samesite='Strict',
expires=session['expire'], path='/')
return resp
Cookie security: Always use httponly, secure, and samesite='Strict' to prevent XSS. The cookie name must be a_session_<PROJECT_ID>.
Forwarding user agent: Call session_client.set_forwarded_user_agent(request.headers.get('user-agent')) to record the end-user's browser info for debugging and security.

Error Handling

python
from appwrite.exception import AppwriteException

This is the start of the file. Read the full SKILL.md on GitHub.

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Source

Popularity

Repository stars
19
7-day trend score
15

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 7 May 2026, 6 months ago.

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