/stream-chat-python

Stream Chat unofficial Python API Client

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Official Python SDK for Stream Chat

build PyPI version PyPI - Python Version Checked with mypy

Official Python API client for Stream Chat, a service for building chat applications.
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💡 Major update in v4.0 <

The returned response objects are instances of StreamResponse class. It inherits from dict, so it's fully backward compatible. Additionally, it provides other benefits such as rate limit information (resp.rate_limit()), response headers (resp.headers()) or status code (resp.status_code()).


📝 About Stream

You can sign up for a Stream account at our Get Started page.

You can use this library to access chat API endpoints server-side.

For the client-side integrations (web and mobile) have a look at the JavaScript, iOS and Android SDK libraries (docs).

⚙️ Installation

$ pip install stream-chat

✨ Getting started

💡 The library is almost 100% typed. Feel free to enable mypy for our library. We will introduce more improvements in the future in this area.

from stream_chat import StreamChat

chat = StreamChat(api_key="STREAM_KEY", api_secret="STREAM_SECRET")

# add a user
chat.upsert_user({"id": "chuck", "name": "Chuck"})

# create a channel about kung-fu
channel = chat.channel("messaging", "kung-fu")
channel.create("chuck")

# add a first message to the channel
channel.send_message({"text": "AMA about kung-fu"}, "chuck")

# we also expose some response metadata through a custom dictionary
resp = chat.deactivate_user("bruce_lee")

print(type(resp)) # <class 'stream_chat.types.stream_response.StreamResponse'>
print(resp["user"]["id"]) # bruce_lee

rate_limit = resp.rate_limit()
print(f"{rate_limit.limit} / {rate_limit.remaining} / {rate_limit.reset}") # 60 / 59 /2022-01-06 12:35:00+00:00

headers = resp.headers()
print(headers) # { 'Content-Encoding': 'gzip', 'Content-Length': '33', ... }

status_code = resp.status_code()
print(status_code) # 200

Async

import asyncio
from stream_chat import StreamChatAsync


async def main():
    async with StreamChatAsync(api_key="STREAM_KEY", api_secret="STREAM_SECRET") as chat:
        # add a user
        await chat.upsert_user({"id": "chuck", "name": "Chuck"})

        # create a channel about kung-fu
        channel = chat.channel("messaging", "kung-fu")
        await channel.create("chuck")

        # add a first message to the channel
        await channel.send_message({"text": "AMA about kung-fu"}, "chuck")

        # we also expose some response metadata through a custom dictionary
        resp = await chat.deactivate_user("bruce_lee")
        print(type(resp)) # <class 'stream_chat.types.stream_response.StreamResponse'>
        print(resp["user"]["id"]) # bruce_lee

        rate_limit = resp.rate_limit()
        print(f"{rate_limit.limit} / {rate_limit.remaining} / {rate_limit.reset}") # 60 / 59 / 2022-01-06 12:35:00+00:00

        headers = resp.headers()
        print(headers) # { 'Content-Encoding': 'gzip', 'Content-Length': '33', ... }

        status_code = resp.status_code()
        print(status_code) # 200


if __name__ == '__main__':
    loop = asyncio.get_event_loop()
    try:
        loop.run_until_complete(main())
    finally:
        loop.run_until_complete(loop.shutdown_asyncgens())
        loop.close()

✍️ Contributing

We welcome code changes that improve this library or fix a problem, please make sure to follow all best practices and add tests if applicable before submitting a Pull Request on Github. We are very happy to merge your code in the official repository. Make sure to sign our Contributor License Agreement (CLA) first. See our license file for more details.

Head over to CONTRIBUTING.md for some development tips.

🧑‍💻 We are hiring!

We've recently closed a $38 million Series B funding round and we keep actively growing. Our APIs are used by more than a billion end-users, and you'll have a chance to make a huge impact on the product within a team of the strongest engineers all over the world.

Check out our current openings and apply via Stream's website.