appwrite-python

What this skill does

# 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(), '[email protected]', 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.

| Type | Max characters | Indexing | Storage |
|------|---------------|----------|---------|
| `varchar` | 16,383 | Full index (if size ≤ 768) | Inline in row |
| `text` | 16,383 | Prefix only | Off-page |
| `mediumtext` | 4,194,303 | Prefix only | Off-page |
| `longtext` | 1,073,741,823 | Prefix only | Off-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)
```

### 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='[email protected]')

# 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-req