graph LR
Analytics_Client_API["Analytics Client API"]
Event_Processor["Event Processor"]
HTTP_Requester["HTTP Requester"]
OAuth_Manager["OAuth Manager"]
Utility_Functions["Utility Functions"]
Analytics_Client_API -- "enqueues events to" --> Event_Processor
Analytics_Client_API -- "manages lifecycle of" --> Event_Processor
Event_Processor -- "sends data via" --> HTTP_Requester
Event_Processor -- "requests tokens from" --> OAuth_Manager
HTTP_Requester -- "requests tokens from" --> OAuth_Manager
OAuth_Manager -- "provides tokens to" --> HTTP_Requester
OAuth_Manager -- "provides tokens to" --> Event_Processor
Analytics_Client_API -- "utilizes" --> Utility_Functions
click Analytics_Client_API href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/analytics-python/Analytics Client API.md" "Details"
click Event_Processor href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/analytics-python/Event Processor.md" "Details"
click HTTP_Requester href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/analytics-python/HTTP Requester.md" "Details"
click OAuth_Manager href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/analytics-python/OAuth Manager.md" "Details"
click Utility_Functions href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/analytics-python/Utility Functions.md" "Details"
The analytics-python project provides a client library for sending analytics data to Segment. The core functionality revolves around an Analytics Client API that allows users to track various events. These events are enqueued and then asynchronously processed by an Event Processor, which batches and uploads them. The actual data transmission is handled by an HTTP Requester, which communicates with the Segment API. Authentication for these requests is managed by an OAuth Manager, responsible for token acquisition and refreshing. Various Utility Functions support data preparation and validation across the system.
The primary interface for users to interact with the analytics system, providing methods for various analytics actions (identify, track, page, screen, group, alias) and managing the client's lifecycle (flush, join, shutdown). It enqueues events for asynchronous processing.
Related Classes/Methods:
analytics-python.segment.analytics.client.Client(21:343)analytics-python.segment.analytics.client.Client:__init__(48:118)analytics-python.segment.analytics.client.Client:identify(120:139)analytics-python.segment.analytics.client.Client:track(141:163)analytics-python.segment.analytics.client.Client:alias(165:182)analytics-python.segment.analytics.client.Client:group(184:206)analytics-python.segment.analytics.client.Client:page(208:235)analytics-python.segment.analytics.client.Client:screen(237:264)analytics-python.segment.analytics.client.Client:_enqueue(266:318)analytics-python.segment.analytics.client.Client:shutdown(340:343)analytics-python.segment.analytics.client.Client.flush(320:326)analytics-python.segment.analytics.client.Client.join(328:338)analytics-python.segment.analytics:track(full file reference)analytics-python.segment.analytics:identify(full file reference)analytics-python.segment.analytics:group(full file reference)analytics-python.segment.analytics:alias(full file reference)analytics-python.segment.analytics:page(full file reference)analytics-python.segment.analytics:screen(full file reference)analytics-python.segment.analytics:flush(full file reference)analytics-python.segment.analytics:join(full file reference)analytics-python.segment.analytics:shutdown(full file reference)analytics-python.segment.analytics._proxy(full file reference)
Continuously processes and uploads collected analytics events. It retrieves batches from the event queue, prepares them, and initiates requests to the analytics service, managing upload intervals, batch sizes, and retries.
Related Classes/Methods:
analytics-python.segment.analytics.consumer.Consumer(25:145)analytics-python.segment.analytics.consumer.Consumer:run(53:59)analytics-python.segment.analytics.consumer.Consumer:upload(65:84)analytics-python.segment.analytics.consumer.Consumer.next(86:118)analytics-python.segment.analytics.consumer.Consumer:request(120:145)analytics-python.segment.analytics.consumer.Consumer.request.send_request(full file reference)analytics-python.segment.analytics.consumer.FatalError(17:22)
Manages the execution of HTTP POST requests to the Segment API, including data serialization, compression, header management, and robust error handling for API responses.
Related Classes/Methods:
analytics-python.segment.analytics.request:post(16:73)analytics-python.segment.analytics.request.APIError(76:85)analytics-python.segment.analytics.request.DatetimeSerializer(88:93)
Handles the OAuth authentication lifecycle, including requesting, refreshing, and invalidating access tokens through a polling mechanism to ensure secure and continuous access to protected resources.
Related Classes/Methods:
analytics-python.segment.analytics.oauth_manager.OauthManager(15:208)analytics-python.segment.analytics.oauth_manager.OauthManager:get_token(40:64)analytics-python.segment.analytics.oauth_manager.OauthManager:clear_token(66:70)analytics-python.segment.analytics.oauth_manager.OauthManager:_request_token(72:99)analytics-python.segment.analytics.oauth_manager.OauthManager:_poller_loop(101:208)
Provides a collection of general-purpose helper functions for tasks such as timezone guessing, recursive data cleaning (removing null/empty values), data type coercion, and input validation.
Related Classes/Methods:
analytics-python.segment.analytics.utils:guess_timezone(24:37)analytics-python.segment.analytics.utils:clean(46:59)analytics-python.segment.analytics.utils:_clean_list(62:63)analytics-python.segment.analytics.utils:_clean_dict(66:77)analytics-python.segment.analytics.utils.is_naive(12:14)analytics-python.segment.analytics.utils.total_seconds(17:21)analytics-python.segment.analytics.utils._coerce_unicode(80:88)analytics-python.segment.analytics.client.require(346:350)analytics-python.segment.analytics.client.stringify_id(353:358)