Skip to main content

Modern Python utilities for web APIs

Project description

MarqetiveLib

Modern Python library for social media platform integrations - Simple, type-safe, and async-ready.

Supported Platforms

  • Twitter/X - Post tweets, upload media, manage threads
  • LinkedIn - Share updates, upload images and videos
  • Instagram - Create posts with media via Graph API
  • TikTok - Upload and publish videos

Features

  • Unified API: Single interface for all social media platforms
  • Async-First: Built for modern async Python applications
  • Type-Safe: Full type hints and Pyright compliance
  • Auto Token Refresh: Factory handles OAuth token lifecycle automatically
  • Media Upload: Progress tracking for large file uploads
  • Retry Logic: Exponential backoff with jitter for transient failures
  • Well Tested: Comprehensive test coverage

Installation

pip install marqetive

Or with Poetry:

poetry add marqetive

Quick Start

import asyncio
from marqetive import get_client, AuthCredentials, PostCreateRequest

async def main():
    # Create credentials for your platform
    credentials = AuthCredentials(
        platform="twitter",
        access_token="your_access_token",
        refresh_token="your_refresh_token"
    )

    # Get authenticated client (auto-refreshes token if expired)
    client = await get_client(credentials)

    # Use client as async context manager
    async with client:
        request = PostCreateRequest(content="Hello from MarqetiveLib!")
        post = await client.create_post(request)
        print(f"Posted! ID: {post.platform_id}")

asyncio.run(main())

Platform Examples

Twitter

from marqetive import get_client, AuthCredentials, PostCreateRequest

credentials = AuthCredentials(
    platform="twitter",
    access_token="your_access_token",
    refresh_token="your_refresh_token"  # Optional, for token refresh
)

client = await get_client(credentials)
async with client:
    # Text post
    post = await client.create_post(PostCreateRequest(content="Hello Twitter!"))

    # Post with media
    post = await client.create_post(PostCreateRequest(
        content="Check out this image!",
        media_paths=["/path/to/image.jpg"]
    ))

LinkedIn

from marqetive import get_client, AuthCredentials, PostCreateRequest

credentials = AuthCredentials(
    platform="linkedin",
    access_token="your_access_token",
    user_id="urn:li:person:your_person_id"  # Required for LinkedIn
)

client = await get_client(credentials)
async with client:
    post = await client.create_post(PostCreateRequest(
        content="Excited to share this update!"
    ))

Instagram

from marqetive import get_client, AuthCredentials, PostCreateRequest

credentials = AuthCredentials(
    platform="instagram",
    access_token="your_access_token",
    user_id="your_instagram_business_account_id"  # Required
)

client = await get_client(credentials)
async with client:
    # Instagram requires media for posts
    post = await client.create_post(PostCreateRequest(
        content="Beautiful day! #photography",
        media_paths=["/path/to/photo.jpg"]
    ))

TikTok

from marqetive import get_client, AuthCredentials, PostCreateRequest

credentials = AuthCredentials(
    platform="tiktok",
    access_token="your_access_token",
    additional_data={"open_id": "your_open_id"}  # Required for TikTok
)

client = await get_client(credentials)
async with client:
    post = await client.create_post(PostCreateRequest(
        content="Check out this video!",
        media_paths=["/path/to/video.mp4"]
    ))

Using Custom OAuth Credentials

from marqetive import PlatformFactory, AuthCredentials, PostCreateRequest

# Create factory with your OAuth app credentials
factory = PlatformFactory(
    twitter_client_id="your_client_id",
    twitter_client_secret="your_client_secret",
    linkedin_client_id="your_linkedin_client_id",
    linkedin_client_secret="your_linkedin_client_secret"
)

credentials = AuthCredentials(
    platform="twitter",
    access_token="user_access_token",
    refresh_token="user_refresh_token"
)

# Get client with automatic token refresh
client = await factory.get_client(credentials)
async with client:
    post = await client.create_post(PostCreateRequest(content="Hello!"))

Progress Tracking for Media Uploads

def progress_callback(operation: str, progress: int, total: int, message: str | None):
    percent = (progress / total) * 100 if total > 0 else 0
    print(f"{operation}: {percent:.1f}% - {message or ''}")

client = await get_client(credentials, progress_callback=progress_callback)
async with client:
    post = await client.create_post(PostCreateRequest(
        content="Uploading video...",
        media_paths=["/path/to/large_video.mp4"]
    ))

Error Handling

from marqetive import get_client, AuthCredentials, PostCreateRequest
from marqetive.core.exceptions import (
    PlatformError,
    PlatformAuthError,
    RateLimitError,
    MediaUploadError
)

try:
    client = await get_client(credentials)
    async with client:
        post = await client.create_post(request)
except PlatformAuthError as e:
    print(f"Authentication failed: {e}")
    # Token may need refresh or reconnection
except RateLimitError as e:
    print(f"Rate limited. Retry after: {e.retry_after} seconds")
except MediaUploadError as e:
    print(f"Media upload failed: {e}")
except PlatformError as e:
    print(f"Platform error: {e}")

Development

Setup Development Environment

# Clone the repository
git clone https://github.com/your-org/marqetive-lib.git
cd marqetive-lib

# Install Poetry if you haven't already
curl -sSL https://install.python-poetry.org | python3 -

# Install dependencies
poetry install --with dev,docs

# Activate virtual environment
poetry shell

Running Tests

# Run tests
poetry run pytest

# Run tests with coverage
poetry run pytest --cov=src/marqetive --cov-report=term-missing

# Run platform-specific tests
poetry run pytest tests/platforms/test_twitter.py

Code Quality

# Lint code with Ruff
poetry run ruff check .

# Format code with Ruff
poetry run ruff format .

# Type check with Pyright
poetry run pyright src/

License

This project is licensed under the MIT License - see the LICENSE file for details.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

marqetive_lib-0.2.9.tar.gz (101.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

marqetive_lib-0.2.9-py3-none-any.whl (119.2 kB view details)

Uploaded Python 3

File details

Details for the file marqetive_lib-0.2.9.tar.gz.

File metadata

  • Download URL: marqetive_lib-0.2.9.tar.gz
  • Upload date:
  • Size: 101.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.2.1 CPython/3.12.9 Darwin/24.6.0

File hashes

Hashes for marqetive_lib-0.2.9.tar.gz
Algorithm Hash digest
SHA256 ca1a1afea4e042c2e60f2f7efd35c54950cab09da1c7adeb696fa318ba4312a3
MD5 dfc05ed623112f21adf35d3880445504
BLAKE2b-256 814b7e3cc9acc2cc130d648df24dee924ba168e21e38602ce4a2bd779fb51f4d

See more details on using hashes here.

File details

Details for the file marqetive_lib-0.2.9-py3-none-any.whl.

File metadata

  • Download URL: marqetive_lib-0.2.9-py3-none-any.whl
  • Upload date:
  • Size: 119.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.2.1 CPython/3.12.9 Darwin/24.6.0

File hashes

Hashes for marqetive_lib-0.2.9-py3-none-any.whl
Algorithm Hash digest
SHA256 82c4d742deb6f0faa2d5b620263145b82a327116992ef60a768f4c935f5a65b3
MD5 e6a7d72cde39eb80e66cc03eebdc9dc6
BLAKE2b-256 ee19e9e4d373d8f73d60b43ac436bf58a0d2dd51136ea4155563648646775638

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page