Official Python SDK for Stream Feeds
Official Python API client for Stream Feeds, a web service for building scalable newsfeeds and activity streams.
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💡 Note: this is a library for the Feeds product. The Chat SDKs can be found here.
You can sign up for a Stream account at our Get Started page.
You can use this library to access feeds API endpoints server-side.
For the client-side integrations (web and mobile) have a look at the JavaScript, iOS and Android SDK libraries (docs).
💡 We have a Django integration available here.
$ pip install stream-pythonDocumentation for this Python client are available at the Stream website.
import datetime
# Create a new client
import stream
client = stream.connect('YOUR_API_KEY', 'API_KEY_SECRET')
# Create a new client specifying data center location
client = stream.connect('YOUR_API_KEY', 'API_KEY_SECRET', location='us-east')
# Find your API keys here https://getstream.io/dashboard/
# Create a feed object
user_feed_1 = client.feed('user', '1')
# Get activities from 5 to 10 (slow pagination)
result = user_feed_1.get(limit=5, offset=5)
# (Recommended & faster) Filter on an id less than the given UUID
result = user_feed_1.get(limit=5, id_lt="e561de8f-00f1-11e4-b400-0cc47a024be0")
# Create a new activity
activity_data = {'actor': 1, 'verb': 'tweet', 'object': 1, 'foreign_id': 'tweet:1'}
activity_response = user_feed_1.add_activity(activity_data)
# Create a bit more complex activity
activity_data = {'actor': 1, 'verb': 'run', 'object': 1, 'foreign_id': 'run:1',
'course': {'name': 'Golden Gate park', 'distance': 10},
'participants': ['Thierry', 'Tommaso'],
'started_at': datetime.datetime.now()
}
user_feed_1.add_activity(activity_data)
# Remove an activity by its id
user_feed_1.remove_activity("e561de8f-00f1-11e4-b400-0cc47a024be0")
# or by foreign id
user_feed_1.remove_activity(foreign_id='tweet:1')
# Follow another feed
user_feed_1.follow('flat', '42')
# Stop following another feed
user_feed_1.unfollow('flat', '42')
# List followers/following
following = user_feed_1.following(offset=0, limit=2)
followers = user_feed_1.followers(offset=0, limit=10)
# Creates many follow relationships in one request
follows = [
{'source': 'flat:1', 'target': 'user:1'},
{'source': 'flat:1', 'target': 'user:2'},
{'source': 'flat:1', 'target': 'user:3'}
]
client.follow_many(follows)
# Batch adding activities
activities = [
{'actor': 1, 'verb': 'tweet', 'object': 1},
{'actor': 2, 'verb': 'watch', 'object': 3}
]
user_feed_1.add_activities(activities)
# Add an activity and push it to other feeds too using the `to` field
activity = {
"actor":"1",
"verb":"like",
"object":"3",
"to":["user:44", "user:45"]
}
user_feed_1.add_activity(activity)
# Retrieve an activity by its ID
client.get_activities(ids=[activity_id])
# Retrieve an activity by the combination of foreign_id and time
client.get_activities(foreign_id_times=[
(foreign_id, activity_time),
])
# Enrich while getting activities
client.get_activities(ids=[activity_id], enrich=True, reactions={"counts": True})
# Update some parts of an activity with activity_partial_update
set = {
'product.name': 'boots',
'colors': {
'red': '0xFF0000',
'green': '0x00FF00'
}
}
unset = [ 'popularity', 'details.info' ]
# ...by ID
client.activity_partial_update(id=activity_id, set=set, unset=unset)
# ...or by combination of foreign_id and time
client.activity_partial_update(foreign_id=foreign_id, time=activity_time, set=set, unset=unset)
# Generating user token for client side usage (JS client)
user_token = client.create_user_token("user-42")
# Javascript client side feed initialization
# client = stream.connect(apiKey, userToken, appId);
# Generate a redirect url for the Stream Analytics platform to track
# events/impressions on url clicks
impression = {
'content_list': ['tweet:1', 'tweet:2', 'tweet:3'],
'user_data': 'tommaso',
'location': 'email',
'feed_id': 'user:global'
}
engagement = {
'content': 'tweet:2',
'label': 'click',
'position': 1,
'user_data': 'tommaso',
'location': 'email',
'feed_id':
'user:global'
}
events = [impression, engagement]
redirect_url = client.create_redirect_url('http://google.com/', 'user_id', events)import datetime
import stream
client = stream.connect('YOUR_API_KEY', 'API_KEY_SECRET', use_async=True)
# Create a new client specifying data center location
client = stream.connect('YOUR_API_KEY', 'API_KEY_SECRET', location='us-east', use_async=True)
# Find your API keys here https://getstream.io/dashboard/
# Create a feed object
user_feed_1 = client.feed('user', '1')
# Get activities from 5 to 10 (slow pagination)
result = await user_feed_1.get(limit=5, offset=5)
# (Recommended & faster) Filter on an id less than the given UUID
result = await user_feed_1.get(limit=5, id_lt="e561de8f-00f1-11e4-b400-0cc47a024be0")
# Create a new activity
activity_data = {'actor': 1, 'verb': 'tweet', 'object': 1, 'foreign_id': 'tweet:1'}
activity_response = await user_feed_1.add_activity(activity_data)
# Create a bit more complex activity
activity_data = {'actor': 1, 'verb': 'run', 'object': 1, 'foreign_id': 'run:1',
'course': {'name': 'Golden Gate park', 'distance': 10},
'participants': ['Thierry', 'Tommaso'],
'started_at': datetime.datetime.now()
}
await user_feed_1.add_activity(activity_data)
# Remove an activity by its id
await user_feed_1.remove_activity("e561de8f-00f1-11e4-b400-0cc47a024be0")
# or by foreign id
await user_feed_1.remove_activity(foreign_id='tweet:1')
# Follow another feed
await user_feed_1.follow('flat', '42')
# Stop following another feed
await user_feed_1.unfollow('flat', '42')
# List followers/following
following = await user_feed_1.following(offset=0, limit=2)
followers = await user_feed_1.followers(offset=0, limit=10)
# Creates many follow relationships in one request
follows = [
{'source': 'flat:1', 'target': 'user:1'},
{'source': 'flat:1', 'target': 'user:2'},
{'source': 'flat:1', 'target': 'user:3'}
]
await client.follow_many(follows)
# Batch adding activities
activities = [
{'actor': 1, 'verb': 'tweet', 'object': 1},
{'actor': 2, 'verb': 'watch', 'object': 3}
]
await user_feed_1.add_activities(activities)
# Add an activity and push it to other feeds too using the `to` field
activity = {
"actor":"1",
"verb":"like",
"object":"3",
"to":["user:44", "user:45"]
}
await user_feed_1.add_activity(activity)
# Retrieve an activity by its ID
await client.get_activities(ids=[activity_id])
# Retrieve an activity by the combination of foreign_id and time
await client.get_activities(foreign_id_times=[
(foreign_id, activity_time),
])
# Enrich while getting activities
await client.get_activities(ids=[activity_id], enrich=True, reactions={"counts": True})
# Update some parts of an activity with activity_partial_update
set = {
'product.name': 'boots',
'colors': {
'red': '0xFF0000',
'green': '0x00FF00'
}
}
unset = [ 'popularity', 'details.info' ]
# ...by ID
await client.activity_partial_update(id=activity_id, set=set, unset=unset)
# ...or by combination of foreign_id and time
await client.activity_partial_update(foreign_id=foreign_id, time=activity_time, set=set, unset=unset)
# Generating user token for client side usage (JS client)
user_token = client.create_user_token("user-42")
# Javascript client side feed initialization
# client = stream.connect(apiKey, userToken, appId);
# Generate a redirect url for the Stream Analytics platform to track
# events/impressions on url clicks
impression = {
'content_list': ['tweet:1', 'tweet:2', 'tweet:3'],
'user_data': 'tommaso',
'location': 'email',
'feed_id': 'user:global'
}
engagement = {
'content': 'tweet:2',
'label': 'click',
'position': 1,
'user_data': 'tommaso',
'location': 'email',
'feed_id':
'user:global'
}
events = [impression, engagement]
redirect_url = client.create_redirect_url('http://google.com/', 'user_id', events)=======
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.
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.
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