mirror of
https://github.com/makeplane/plane.git
synced 2026-09-03 12:50:29 +02:00
[WEB-4238] feat: event stream implementation (#3684)
* Pgtrigger and Outbox prototype * feat: add event stream app with models and migrations - Introduced the event_stream app with initial models: Outbox and IssueProxy. - Implemented a PostgreSQL trigger for logging updates to issues. - Added necessary migrations and updated settings to include the new app. * refactor: migrate event publisher to event stream - Updated imports in test files to reflect the new event_stream app structure. - Removed the event_publisher app, including its models, migrations, and tests. - Introduced MemorySafeOutboxEventListener and related service for handling outbox events. - Added management command for starting the outbox event listener with memory safety. - Implemented PostgreSQL triggers for outbox notifications in the new event_stream app. * refactor: enhance issue serializer and event stream models - Updated IssueSerializer and IssueCreateSerializer to manage assignees and labels more efficiently by calculating additions and removals instead of deleting all and re-adding. - Introduced new proxy models for CycleIssue and ModuleIssue with corresponding PostgreSQL triggers for event handling. - Refactored Outbox model to include entity type and ID for better event tracking. - Removed outdated IssueProxy model and its associated triggers, streamlining the event stream architecture. * chore: update base requirements for OpenSearch and add pika for RabbitMQ - Retained django-opensearch-dsl version 0.7.0 in requirements. - Added pika version 1.3.2 for RabbitMQ integration. * refactor: update import paths for event stream listener - Changed import statements in test_competitive_listeners.py, service.py, and listen_outbox_events.py to reflect the new module structure by removing the 'apiserver' prefix. * feat: implement PostgreSQL LISTEN/NOTIFY listener for outbox events - Added DatabaseConnection class to manage psycopg3 connections for LISTEN/NOTIFY. - Introduced NotificationListener class to handle PostgreSQL NOTIFY messages and dispatch them to registered handlers. - Updated Command class to utilize NotificationListener for listening to outbox events, replacing the previous restartable listener implementation. - Improved error handling and logging throughout the listener process. * feat: enhance event processing with advisory locks - Implemented advisory lock mechanism to prevent concurrent processing of events. - Added methods to acquire and release advisory locks in the DatabaseConnection class. - Updated root_handler to fetch complete outbox data and mark events as processed only if all handlers succeed. - Improved error handling and logging for event processing. * fix: improve event logging and error handling in NotificationListener - Updated event logging to include event ID for better traceability. - Enhanced error handling in the command's handle method to log exceptions and maintain robustness during event listening. * feat: add memory monitoring and auto-restart functionality to event listener - Introduced MemoryMonitor class to track memory usage and event processing counts. - Implemented automatic restarts for the NotificationListener based on memory and event limits. - Enhanced command line options to configure memory limits, event limits, and memory check intervals. - Improved logging for memory stats and event processing to aid in monitoring and debugging. * feat: update local and production settings for event logging - Introduced logging configuration for 'plane.event_stream' in both local and production settings to enhance event logging capabilities. * chore: Implement async outbox polling mechanism with memory monitoring and event handling. Add management command for outbox poller and create necessary database migrations for outbox triggers and indexes. * docs: Add comprehensive README for Event Stream system detailing architecture, components, configuration, usage, and performance tuning. * feat: Enhance MongoDB integration with a singleton connection manager and implement outbox cleanup task for migrating records from PostgreSQL to MongoDB * feat: Add asyncio support for tests and new test files for outbox polling * Merge branch 'event-stream' of github.com:makeplane/plane-ee into event-stream * refactor: Update event types in outbox triggers for cycle, issue, and module models; add IssueComment, IssueLink, and IssueRelation proxies with corresponding triggers * refactor: Update import paths for JsonFormatter and consolidate OpenFeature imports; add unit tests for OutboxPoller and related classes * refactor: Replace all_objects with objects in Outbox queries and update test fixtures for outbox records * feat: Add daily outbox cleaner task to Celery and update type hint for MongoDB collection * refactor: Enhance memory monitoring and outbox polling logic with improved logging and delay handling * feat: Implement outbox triggers for issue, issue attachment, issue link, and issue relation models with dynamic event type determination * chore: Remove obsolete files related to multiple listeners and competitive processing tests * Delete service.py * feat: Add outbox poller script to manage database migrations and process events with configurable parameters * refactor: Optimize EpicCreateSerializer to handle initiative, assignee, and label updates with conflict management and improved logic for adding/removing related entities * feat: Update issue proxy triggers for outbox events - Removed the existing 'issue_outbox_update' trigger from the IssueProxy model. - Added a new 'issue_outbox_update' trigger with enhanced logic to handle conversion events when the issue type changes. - The new trigger captures updates and soft deletes, inserting appropriate events into the outbox. * feat: Refactor issue proxy triggers and add new outbox event handling - Removed and replaced existing triggers for IssueProxy, IssueAssigneeProxy, IssueLabelProxy, CycleIssueProxy, and ModuleIssueProxy. - Introduced new triggers to handle outbox events for various issue-related actions, including creation, updates, and deletions. - Enhanced logic for event type determination based on issue type, ensuring accurate event handling in the outbox. * refactor: Update serializers to use ID fields for assignees and labels - Changed the handling of assignees and labels in IssueCreateSerializer and EpicCreateSerializer to use ID fields instead of object references. - Improved logic for determining assignees and labels to add or remove by using lists of IDs. - Enhanced code readability with comments explaining the changes. * feat: Enhance issue event handling in outbox triggers - Updated triggers for IssueProxy, IssueAssigneeProxy, and IssueLabelProxy to determine event types based on issue type, including handling for epics. - Introduced filtered data for outbox events to exclude description fields, improving data integrity and reducing unnecessary payload size. - Enhanced logic for detecting changes during updates, ensuring only relevant changes are captured and processed. * feat: implement connection pooling for outbox poller - Introduced DatabaseConnectionPool class to manage async connection pooling using psycopg_pool. - Enhanced outbox polling logic to utilize connection pooling for improved performance and resource management. - Added health check and statistics retrieval methods for the connection pool. - Updated outbox model and migration to include claimed_at field for better event tracking. - Refactored tests to validate new connection pooling functionality. * refactor: move MongoConnection to a new settings module and update imports - Created a new mongo.py file to define the MongoConnection class for managing MongoDB connections. - Updated the import path in outbox_cleaner.py to reference the new MongoConnection location. * refactor: update import path for MongoConnection in outbox_cleaner.py * chore: remove scout_apm from production settings and requirements - Deleted scout_apm from the installed apps in production.py. - Removed scout-apm dependency from base.txt requirements. * feat: add claimed_at field to outbox events and update requirements - Added claimed_at field to the outbox event model for enhanced event tracking. - Updated outbox poller to handle claimed_at in event processing. - Included django-pgtrigger in base.txt requirements for database trigger management. * feat: enhance memory monitoring in outbox poller - Updated MemoryMonitor to signal for restarts instead of exiting on memory limit exceedance. - Added methods to check for restart requests and wait for restart signals. - Improved outbox poller logic to handle memory monitoring more gracefully during processing. - Ensured all claimed rows are processed before initiating a restart. * feat: implement graceful shutdown handling in outbox poller - Added GracefulShutdownHandler class to manage shutdown signals (SIGTERM, SIGINT, SIGQUIT). - Integrated shutdown handling into the outbox poller to allow for graceful exits during processing. - Updated polling logic to check for shutdown requests and clean up resources accordingly. - Enhanced command help text to reflect new signal handling capabilities. * Enhance outbox event handling by adding workspace and project IDs - Updated the outbox cleaner to include `workspace_id` and `project_id` in the deletion process. - Modified the outbox poller to handle new fields in event processing. - Adjusted models and migrations to support the new fields in the outbox table. - Updated tests to ensure proper handling of workspace and project IDs in outbox records. * Merge branch 'preview' of github.com:makeplane/plane-ee into event-stream * feat: add initiator_id field to Outbox model and update migration dependencies * feat: add initiator_id to Outbox insertions across event stream models - Updated Outbox insert statements in various models to include initiator_id. - Adjusted related logic in CycleIssueProxy, IssueProxy, ModuleIssueProxy, and others to ensure proper tracking of the user initiating changes. - Enhanced event handling for soft deletes and regular updates to maintain consistency in data tracking. * feat: include initiator_id in OutboxEvent model and database interactions - Added initiator_id field to the OutboxEvent model for enhanced tracking. - Updated database queries in outbox_poller.py to include initiator_id in insertions. - Ensured consistency in data handling across event stream components. * refactor: update handle_row function to use OutboxEvent model - Changed the parameter type of handle_row from Dict to OutboxEvent for better type safety. - Updated logging to utilize the to_dict method of OutboxEvent for consistent event data representation. * feat: enhance Outbox model with initiator type and update related logic - Added initiator_type field to the Outbox model to track the type of event initiator. - Introduced InitiatorTypes enum for better clarity and management of initiator types. - Updated OutboxEvent model and related methods to include initiator_type for consistent event data representation. - Adjusted database interactions across event stream models to accommodate the new initiator_type field. * feat: add initiator_type to Outbox insertions across event stream models - Updated Outbox insert statements in various models to include initiator_type for better tracking of event initiators. - Adjusted related logic in CycleIssueProxy, IssueProxy, ModuleIssueProxy, and others to ensure consistent handling of initiator_type during event processing. - Enhanced event handling for both soft deletes and regular updates to maintain data integrity and tracking. * feat: update event stream triggers to use After timing for improved consistency - Changed trigger timing from Before to After for various event stream models including CycleIssueProxy, IssueProxy, and IssueAssigneeProxy to ensure that outbox updates reflect the final state of the entities. - Enhanced logic in triggers to include previous attributes for better tracking of changes during updates. - Adjusted related logic in IssueLabelProxy and IssueCommentProxy to maintain consistency across event handling. * feat: enhance bulk update task with transaction management and initiator type - Wrapped bulk creation of issue relations and parent ID updates in a transaction to ensure atomicity. - Set the initiator type to 'SYSTEM.IMPORT' for both bulk creation and updates to improve tracking of operations. - Improved database interaction by using a connection cursor for executing SQL commands. --------- Co-authored-by: Dheeraj Kumar Ketireddy <dheeru0198@gmail.com>
This commit is contained in:
Nikhil
15
apps/api/bin/docker-entrypoint-outbox-poller.sh
Executable file
15
apps/api/bin/docker-entrypoint-outbox-poller.sh
Executable file
@@ -0,0 +1,15 @@
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#!/bin/bash
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set -e
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python manage.py wait_for_db
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# Wait for migrations
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python manage.py wait_for_migrations
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# Run the processes
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python manage.py outbox_poller \
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--memory-limit ${OUTBOX_POLLER_MEMORY_LIMIT_MB:-512} \
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--interval-min ${OUTBOX_POLLER_INTERVAL_MIN:-0.25} \
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--interval-max ${OUTBOX_POLLER_INTERVAL_MAX:-10} \
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--batch-size ${OUTBOX_POLLER_BATCH_SIZE:-250} \
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--memory-check-interval ${OUTBOX_POLLER_MEMORY_CHECK_INTERVAL:-30}
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@@ -255,7 +255,22 @@ class IssueSerializer(BaseSerializer):
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updated_by_id = instance.updated_by_id
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if assignees is not None:
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IssueAssignee.objects.filter(issue=instance).delete()
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# Get the current assignees
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current_assignees = IssueAssignee.objects.filter(
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issue=instance
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).values_list("assignee_id", flat=True)
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# Get the assignees to add
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assignees_to_add = list(set(assignees) - set(current_assignees))
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# Get the assignees to remove
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assignees_to_remove = list(set(current_assignees) - set(assignees))
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# Delete the assignees to remove
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IssueAssignee.objects.filter(
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issue=instance, assignee_id__in=assignees_to_remove
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).delete()
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try:
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IssueAssignee.objects.bulk_create(
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[
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@@ -267,7 +282,7 @@ class IssueSerializer(BaseSerializer):
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created_by_id=created_by_id,
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updated_by_id=updated_by_id,
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)
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for assignee_id in assignees
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for assignee_id in assignees_to_add
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],
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batch_size=10,
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ignore_conflicts=True,
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@@ -276,7 +291,23 @@ class IssueSerializer(BaseSerializer):
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pass
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if labels is not None:
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IssueLabel.objects.filter(issue=instance).delete()
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# Get the current labels
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current_labels = IssueLabel.objects.filter(issue=instance).values_list(
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"label_id", flat=True
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)
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# Get the labels to add
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labels_to_add = list(set(labels) - set(current_labels))
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# Get the labels to remove
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labels_to_remove = list(set(current_labels) - set(labels))
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# Delete the labels to remove
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IssueLabel.objects.filter(
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issue=instance, label_id__in=labels_to_remove
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).delete()
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# Create the labels to add
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try:
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IssueLabel.objects.bulk_create(
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[
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@@ -288,7 +319,7 @@ class IssueSerializer(BaseSerializer):
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created_by_id=created_by_id,
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updated_by_id=updated_by_id,
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)
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for label_id in labels
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for label_id in labels_to_add
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],
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batch_size=10,
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ignore_conflicts=True,
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@@ -2,7 +2,6 @@
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import json
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import re
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import uuid
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import re
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# Django imports
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from django.core.serializers.json import DjangoJSONEncoder
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@@ -31,7 +30,6 @@ from rest_framework.response import Response
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# drf-spectacular imports
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from drf_spectacular.utils import (
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extend_schema,
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OpenApiParameter,
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OpenApiResponse,
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OpenApiExample,
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OpenApiRequest,
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@@ -102,7 +100,6 @@ from plane.utils.openapi import (
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EXTERNAL_ID_PARAMETER,
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EXTERNAL_SOURCE_PARAMETER,
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ORDER_BY_PARAMETER,
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SEARCH_PARAMETER,
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SEARCH_PARAMETER_REQUIRED,
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LIMIT_PARAMETER,
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WORKSPACE_SEARCH_PARAMETER,
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@@ -366,7 +366,21 @@ class IssueCreateSerializer(BaseSerializer):
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updated_by_id = instance.updated_by_id
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if assignees is not None:
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IssueAssignee.objects.filter(issue=instance).delete()
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# Here because of validate the assignee_ids are list of uuids
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current_assignees = IssueAssignee.objects.filter(
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issue=instance
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).values_list("assignee_id", flat=True)
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# Get the assignees to add and assignees to remove from both the current and the new assignees
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assignees_to_add = list(set(assignees) - set(current_assignees))
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assignees_to_remove = list(set(current_assignees) - set(assignees))
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# Delete the assignees to remove
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IssueAssignee.objects.filter(
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issue=instance, assignee_id__in=assignees_to_remove
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).delete()
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# Create the assignees to add
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try:
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IssueAssignee.objects.bulk_create(
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[
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@@ -378,7 +392,7 @@ class IssueCreateSerializer(BaseSerializer):
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created_by_id=created_by_id,
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updated_by_id=updated_by_id,
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)
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for assignee_id in assignees
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for assignee_id in assignees_to_add
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],
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batch_size=10,
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ignore_conflicts=True,
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@@ -387,19 +401,37 @@ class IssueCreateSerializer(BaseSerializer):
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pass
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if labels is not None:
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IssueLabel.objects.filter(issue=instance).delete()
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# Here we get label instances as a list
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current_label_ids = list(
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IssueLabel.objects.filter(issue=instance).values_list(
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"label_id", flat=True
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)
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)
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requested_label_ids = labels
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# Get the labels to add and labels to remove from both the current and the new labels
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labels_to_add = list(set(requested_label_ids) - set(current_label_ids))
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labels_to_remove = list(set(current_label_ids) - set(requested_label_ids))
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# Delete the labels to remove
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IssueLabel.objects.filter(
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issue=instance, label_id__in=labels_to_remove
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).delete()
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# Create the labels to add
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try:
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IssueLabel.objects.bulk_create(
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[
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IssueLabel(
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label_id=label_id,
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label_id=label,
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issue=instance,
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project_id=project_id,
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workspace_id=workspace_id,
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created_by_id=created_by_id,
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updated_by_id=updated_by_id,
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)
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for label_id in labels
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for label in labels_to_add
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],
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batch_size=10,
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ignore_conflicts=True,
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@@ -6,13 +6,13 @@ from django.db import migrations, models
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class Migration(migrations.Migration):
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dependencies = [
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('authentication', '0003_application_website_applicationcategory_is_active'),
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("authentication", "0003_application_website_applicationcategory_is_active"),
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]
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operations = [
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migrations.AddField(
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model_name='application',
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name='is_mentionable',
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model_name="application",
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name="is_mentionable",
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field=models.BooleanField(default=False),
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),
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]
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@@ -1,10 +1,12 @@
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# Python imports
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import logging
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# Third party imports
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from celery import shared_task
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import requests
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from django.db import transaction
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from django.db import transaction, connection
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from django.conf import settings
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import logging
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from plane.utils.exception_logger import log_exception
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from plane.utils.helpers import get_boolean_value
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from plane.api.serializers.issue import IssueSerializer
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@@ -154,6 +156,8 @@ def sanitize_issue_data(issue_data):
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def process_single_issue(slug, project, user_id, issue_data):
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try:
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with transaction.atomic():
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with connection.cursor() as cur:
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cur.execute("SET LOCAL plane.initiator_type = 'SYSTEM.IMPORT'")
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# Process the main issue
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issue_data = sanitize_issue_data(issue_data)
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serializer = IssueSerializer(
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@@ -105,6 +105,11 @@ EE_JOBS = {
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"task": "plane.ee.bgtasks.batched_search_update_task.log_opensearch_update_queue_metrics", # noqa: E501
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"schedule": crontab(minute="*/15"), # Every 15 minutes
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},
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# Outbox cleaner
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"check-every-day-to-delete-outbox-records": {
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"task": "plane.event_stream.bgtasks.outbox_cleaner.delete_outbox_records",
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"schedule": crontab(hour=4, minute=0), # UTC 04:00
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},
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}
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@@ -12,6 +12,9 @@ from django.db.models import Q
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from django import apps
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from django.db import connection
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# Third party imports
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import pgtrigger
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# Module imports
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from plane.utils.html_processor import strip_tags
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from plane.db.models.project import ProjectManager
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@@ -1,25 +0,0 @@
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from pymongo import MongoClient
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def singleton(cls):
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instances = {}
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def wrapper(*args, **kwargs):
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if cls not in instances:
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instances[cls] = cls(*args, **kwargs)
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return instances[cls]
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return wrapper
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@singleton
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class Database:
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db = None
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client = None
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def __init__(self, mongo_uri, database_name):
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self.client = MongoClient(mongo_uri)
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self.db = self.client[database_name]
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def get_db(self):
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return self.db
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@@ -2,6 +2,7 @@
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from django.utils import timezone
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from django.core.validators import URLValidator
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from django.core.exceptions import ValidationError
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from django.db import IntegrityError
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# Third Party imports
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from rest_framework import serializers
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@@ -163,54 +164,110 @@ class EpicCreateSerializer(BaseSerializer):
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updated_by_id = instance.updated_by_id
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if initiative_ids is not None:
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InitiativeEpic.objects.filter(epic=instance).delete()
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InitiativeEpic.objects.bulk_create(
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[
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InitiativeEpic(
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epic_id=instance.id,
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initiative_id=initiative_id,
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workspace_id=workspace_id,
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created_by_id=created_by_id,
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updated_by_id=updated_by_id,
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)
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for initiative_id in initiative_ids
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],
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batch_size=10,
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)
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current_initiatives = InitiativeEpic.objects.filter(
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epic=instance
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).values_list("initiative_id", flat=True)
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# Get the initiatives to add and initiatives to remove from both the current and the new initiatives
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initiatives_to_add = list(set(initiative_ids) - set(current_initiatives))
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initiatives_to_remove = list(set(current_initiatives) - set(initiative_ids))
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# Delete the initiatives to remove
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InitiativeEpic.objects.filter(
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epic=instance, initiative_id__in=initiatives_to_remove
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).delete()
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# Create the initiatives to add
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try:
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InitiativeEpic.objects.bulk_create(
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[
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InitiativeEpic(
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epic_id=instance.id,
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initiative_id=initiative_id,
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workspace_id=workspace_id,
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created_by_id=created_by_id,
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updated_by_id=updated_by_id,
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)
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for initiative_id in initiatives_to_add
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],
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batch_size=10,
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ignore_conflicts=True,
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)
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except IntegrityError:
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pass
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if assignees is not None:
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IssueAssignee.objects.filter(issue=instance).delete()
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IssueAssignee.objects.bulk_create(
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[
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IssueAssignee(
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||||
assignee=user,
|
||||
issue=instance,
|
||||
project_id=project_id,
|
||||
workspace_id=workspace_id,
|
||||
created_by_id=created_by_id,
|
||||
updated_by_id=updated_by_id,
|
||||
)
|
||||
for user in assignees
|
||||
],
|
||||
batch_size=10,
|
||||
)
|
||||
current_assignee_ids = IssueAssignee.objects.filter(
|
||||
issue=instance
|
||||
).values_list("assignee_id", flat=True)
|
||||
|
||||
assignee_ids = [assignee.id for assignee in assignees]
|
||||
|
||||
# Get the assignees to add and assignees to remove from both the current and the new assignees
|
||||
assignees_to_add = list(set(assignee_ids) - set(current_assignee_ids))
|
||||
assignees_to_remove = list(set(current_assignee_ids) - set(assignee_ids))
|
||||
|
||||
# Delete the assignees to remove
|
||||
IssueAssignee.objects.filter(
|
||||
issue=instance, assignee_id__in=assignees_to_remove
|
||||
).delete()
|
||||
|
||||
# Create the assignees to add
|
||||
try:
|
||||
IssueAssignee.objects.bulk_create(
|
||||
[
|
||||
IssueAssignee(
|
||||
assignee_id=user,
|
||||
issue=instance,
|
||||
project_id=project_id,
|
||||
workspace_id=workspace_id,
|
||||
created_by_id=created_by_id,
|
||||
updated_by_id=updated_by_id,
|
||||
)
|
||||
for user in assignees_to_add
|
||||
],
|
||||
batch_size=10,
|
||||
ignore_conflicts=True,
|
||||
)
|
||||
except IntegrityError:
|
||||
pass
|
||||
|
||||
if labels is not None:
|
||||
IssueLabel.objects.filter(issue=instance).delete()
|
||||
IssueLabel.objects.bulk_create(
|
||||
[
|
||||
IssueLabel(
|
||||
label=label,
|
||||
issue=instance,
|
||||
project_id=project_id,
|
||||
workspace_id=workspace_id,
|
||||
created_by_id=created_by_id,
|
||||
updated_by_id=updated_by_id,
|
||||
)
|
||||
for label in labels
|
||||
],
|
||||
batch_size=10,
|
||||
current_label_ids = IssueLabel.objects.filter(issue=instance).values_list(
|
||||
"label_id", flat=True
|
||||
)
|
||||
|
||||
requested_label_ids = [label.id for label in labels]
|
||||
|
||||
# Get the labels to add and labels to remove from both the current and the new labels
|
||||
labels_to_add = list(set(requested_label_ids) - set(current_label_ids))
|
||||
labels_to_remove = list(set(current_label_ids) - set(requested_label_ids))
|
||||
|
||||
# Delete the labels to remove
|
||||
IssueLabel.objects.filter(
|
||||
issue=instance, label_id__in=labels_to_remove
|
||||
).delete()
|
||||
|
||||
# Create the labels to add
|
||||
try:
|
||||
IssueLabel.objects.bulk_create(
|
||||
[
|
||||
IssueLabel(
|
||||
label_id=label,
|
||||
issue=instance,
|
||||
project_id=project_id,
|
||||
workspace_id=workspace_id,
|
||||
created_by_id=created_by_id,
|
||||
updated_by_id=updated_by_id,
|
||||
)
|
||||
for label in labels_to_add
|
||||
],
|
||||
batch_size=10,
|
||||
ignore_conflicts=True,
|
||||
)
|
||||
except IntegrityError:
|
||||
pass
|
||||
|
||||
# Time updation occues even when other related models are updated
|
||||
instance.updated_at = timezone.now()
|
||||
return super().update(instance, validated_data)
|
||||
|
||||
@@ -6,7 +6,7 @@ from typing import List, Optional
|
||||
# Django imports
|
||||
from django.utils import timezone
|
||||
from django.db.models.functions import Coalesce
|
||||
from django.db.models import Q, Value, UUIDField, F, Subquery, OuterRef, Prefetch
|
||||
from django.db.models import Q, Value, UUIDField, Prefetch
|
||||
from django.contrib.postgres.fields import ArrayField
|
||||
from django.contrib.postgres.aggregates import ArrayAgg
|
||||
from django.core.serializers.json import DjangoJSONEncoder
|
||||
@@ -205,6 +205,10 @@ class BulkIssueOperationsEndpoint(BaseAPIView):
|
||||
)
|
||||
|
||||
for issue in issues:
|
||||
# Update the updated_at and updated_by_id
|
||||
issue.updated_at = timezone.now()
|
||||
issue.updated_by_id = request.user.id
|
||||
|
||||
# Priority
|
||||
if properties.get("priority", False):
|
||||
issue_activities.append(
|
||||
@@ -379,9 +383,10 @@ class BulkIssueOperationsEndpoint(BaseAPIView):
|
||||
IssueLabel(
|
||||
issue=issue,
|
||||
label_id=label_id,
|
||||
created_by=request.user,
|
||||
created_by_id=request.user.id,
|
||||
project_id=project_id,
|
||||
workspace_id=workspace_id,
|
||||
updated_by_id=request.user.id,
|
||||
)
|
||||
)
|
||||
bulk_issue_activities.append(
|
||||
@@ -411,7 +416,7 @@ class BulkIssueOperationsEndpoint(BaseAPIView):
|
||||
IssueAssignee(
|
||||
issue=issue,
|
||||
assignee_id=assignee_id,
|
||||
created_by=request.user,
|
||||
created_by_id=request.user.id,
|
||||
project_id=project_id,
|
||||
workspace_id=workspace_id,
|
||||
)
|
||||
@@ -448,7 +453,7 @@ class BulkIssueOperationsEndpoint(BaseAPIView):
|
||||
module_id=module_id,
|
||||
project_id=project_id,
|
||||
workspace_id=project.workspace_id,
|
||||
created_by=request.user,
|
||||
created_by_id=request.user.id,
|
||||
)
|
||||
)
|
||||
issue_activities.append(
|
||||
@@ -549,6 +554,8 @@ class BulkIssueOperationsEndpoint(BaseAPIView):
|
||||
"completed_at",
|
||||
"estimate_point_id",
|
||||
"type_id",
|
||||
"updated_at",
|
||||
"updated_by_id",
|
||||
],
|
||||
batch_size=100,
|
||||
)
|
||||
|
||||
695
apps/api/plane/event_stream/README.md
Normal file
695
apps/api/plane/event_stream/README.md
Normal file
@@ -0,0 +1,695 @@
|
||||
# 🚀 Event Stream System
|
||||
|
||||
[](https://python.org)
|
||||
[](https://djangoproject.com)
|
||||
[](https://postgresql.org)
|
||||
[](https://docs.python.org/3/library/asyncio.html)
|
||||
|
||||
The Event Stream system provides real-time event processing capabilities for Plane, enabling asynchronous handling of entity changes through an outbox pattern with PostgreSQL triggers and polling mechanisms.
|
||||
|
||||
## 📊 Performance Overview
|
||||
|
||||
| Metric | Typical Value | Optimized Value |
|
||||
| ---------------------- | ---------------- | ------------------ |
|
||||
| **Throughput** | 1,000 events/sec | 5,000+ events/sec |
|
||||
| **Latency** | < 250ms | < 100ms |
|
||||
| **Memory Usage** | 200-500MB | Configurable limit |
|
||||
| **CPU Usage** | 5-15% | Variable with load |
|
||||
| **Batch Size** | 250 events | Tunable (50-1000) |
|
||||
| **Concurrent Pollers** | 1 | Up to 10+ |
|
||||
|
||||
## 📋 Table of Contents
|
||||
|
||||
- [🏗️ Architecture Overview](#️-architecture-overview)
|
||||
- [🔧 Components](#-components)
|
||||
- [⚙️ Configuration](#️-configuration)
|
||||
- [🚀 Usage](#-usage)
|
||||
- [💻 Commands](#-commands)
|
||||
- [🎯 Event Handlers](#-event-handlers)
|
||||
- [🧠 Memory Management](#-memory-management)
|
||||
- [👨💻 Development](#-development)
|
||||
- [🔍 Troubleshooting](#-troubleshooting)
|
||||
- [📈 Performance Tuning](#-performance-tuning)
|
||||
- [📊 Monitoring & Metrics](#-monitoring--metrics)
|
||||
|
||||
## 🏗️ Architecture Overview
|
||||
|
||||
The event stream system implements a reliable outbox pattern with the following flow:
|
||||
|
||||
1. **🗄️ Database Triggers**: PostgreSQL triggers automatically capture entity changes (INSERT/UPDATE/DELETE) and write events to the `outbox` table
|
||||
2. **🔄 Event Polling**: Async pollers fetch unprocessed events from the outbox table in batches
|
||||
3. **⚡ Event Processing**: Registered handlers process events with full entity data
|
||||
4. **✅ Completion Tracking**: Successfully processed events are marked as `processed_at`
|
||||
|
||||
### 🎯 Key Benefits
|
||||
|
||||
- **🔒 Reliability**: Transactional consistency ensures no events are lost
|
||||
- **⚡ Performance**: Batch processing and efficient querying minimize database load
|
||||
- **🧠 Memory Safety**: Built-in memory monitoring and automatic restarts prevent memory leaks
|
||||
- **📈 Scalability**: Multiple pollers can run concurrently with competitive processing
|
||||
- **🔧 Flexibility**: Pluggable handler system allows custom event processing logic
|
||||
|
||||
## 🔧 Components
|
||||
|
||||
### 1. 🗄️ Models
|
||||
|
||||
#### `Outbox` (`models/outbox.py`)
|
||||
|
||||
Central event storage table with the following schema:
|
||||
|
||||
```python
|
||||
class Outbox(models.Model):
|
||||
id = models.BigAutoField(primary_key=True) # Unique identifier
|
||||
event_id = models.UUIDField(default=uuid4) # Event UUID
|
||||
event_type = models.CharField(max_length=255) # e.g., "issue.created"
|
||||
entity_type = models.CharField(max_length=255) # e.g., "issue"
|
||||
entity_id = models.UUIDField() # Entity UUID
|
||||
payload = models.JSONField() # Full event data
|
||||
processed_at = models.DateTimeField(null=True) # Processing timestamp
|
||||
created_at = models.DateTimeField(default=now) # Creation timestamp
|
||||
```
|
||||
|
||||
**📊 Indexes:**
|
||||
|
||||
- `outbox_unprocessed_idx`: Optimized for finding unprocessed events
|
||||
- `outbox_processed_idx`: Optimized for analytics on processed events
|
||||
|
||||
#### 🔄 Entity Proxy Models
|
||||
|
||||
- `IssueProxy` (`models/issue.py`): Handles issue lifecycle events
|
||||
- `CycleIssueProxy` (`models/cycle.py`): Handles cycle-issue relationship events
|
||||
- Additional proxy models for other entities
|
||||
|
||||
### 2. 🚀 Outbox Poller
|
||||
|
||||
#### `OutboxPoller` (`management/commands/outbox_poller.py`)
|
||||
|
||||
Async poller that processes events from the outbox table:
|
||||
|
||||
```python
|
||||
class OutboxPoller:
|
||||
def __init__(self, batch_size, interval_min, interval_max,
|
||||
memory_limit_mb, memory_check_interval):
|
||||
# Configurable processing parameters
|
||||
# Handler registration system
|
||||
# Memory monitoring
|
||||
```
|
||||
|
||||
**🚀 Key Features:**
|
||||
|
||||
- Adaptive polling intervals (backs off when no events)
|
||||
- Batch processing with `FOR UPDATE SKIP LOCKED`
|
||||
- Memory monitoring with automatic restarts
|
||||
- Transactional safety
|
||||
|
||||
#### 🔌 `DatabaseConnection` (`management/commands/outbox_poller.py`)
|
||||
|
||||
Async database connection manager:
|
||||
|
||||
```python
|
||||
class DatabaseConnection:
|
||||
async def fetch_and_lock_rows(self, batch_size) -> List[tuple]:
|
||||
# Fetch and lock events atomically
|
||||
|
||||
async def mark_processed(self, ids: List[int]) -> bool:
|
||||
# Mark events as processed
|
||||
```
|
||||
|
||||
### 3. 🏭 Production Service
|
||||
|
||||
#### `OutboxEventService` (`service.py`)
|
||||
|
||||
Production-ready service wrapper:
|
||||
|
||||
```python
|
||||
class OutboxEventService:
|
||||
def start(self):
|
||||
# Signal handling for graceful shutdown
|
||||
# Handler registration
|
||||
# Service lifecycle management
|
||||
```
|
||||
|
||||
## ⚙️ Configuration
|
||||
|
||||
### 🌍 Environment Variables
|
||||
|
||||
```bash
|
||||
# Outbox Poller Configuration
|
||||
OUTBOX_POLLER_BATCH_SIZE=250 # Events per batch
|
||||
OUTBOX_POLLER_INTERVAL_MIN=0.25 # Min polling interval (seconds)
|
||||
OUTBOX_POLLER_INTERVAL_MAX=2.0 # Max polling interval (seconds)
|
||||
OUTBOX_POLLER_MEMORY_LIMIT_MB=500 # Memory limit (MB)
|
||||
OUTBOX_POLLER_MEMORY_CHECK_INTERVAL=30 # Memory check interval (seconds)
|
||||
```
|
||||
|
||||
### ⚙️ Django Settings
|
||||
|
||||
Add to `INSTALLED_APPS`:
|
||||
|
||||
```python
|
||||
INSTALLED_APPS = [
|
||||
# ... other apps
|
||||
'plane.event_stream',
|
||||
]
|
||||
```
|
||||
|
||||
### 🗄️ Database Configuration
|
||||
|
||||
Ensure your PostgreSQL database supports:
|
||||
|
||||
- `gen_random_uuid()` function (requires `pgcrypto` extension)
|
||||
- Row-level locking (`FOR UPDATE SKIP LOCKED`)
|
||||
|
||||
## 🚀 Usage
|
||||
|
||||
### 🔄 Running the Outbox Poller
|
||||
|
||||
```bash
|
||||
# Run with default settings
|
||||
python manage.py outbox_poller
|
||||
|
||||
# Run with custom settings
|
||||
python manage.py outbox_poller \
|
||||
--batch-size 100 \
|
||||
--interval-min 0.5 \
|
||||
--interval-max 5.0 \
|
||||
--memory-limit 1024 \
|
||||
--memory-check-interval 60
|
||||
```
|
||||
|
||||
### 🏭 Production Service
|
||||
|
||||
```python
|
||||
# service.py
|
||||
from plane.event_stream.service import main
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
```
|
||||
|
||||
## 💻 Commands
|
||||
|
||||
### 🔄 `outbox_poller`
|
||||
|
||||
Async outbox poller that processes events in batches.
|
||||
|
||||
**Arguments:**
|
||||
|
||||
- `--batch-size`: Number of events to process per batch (default: 250)
|
||||
- `--interval-min`: Minimum polling interval in seconds (default: 0.25)
|
||||
- `--interval-max`: Maximum polling interval in seconds (default: 2.0)
|
||||
- `--memory-limit`: Memory limit in MB before restart (default: 500)
|
||||
- `--memory-check-interval`: Memory check interval in seconds (default: 30)
|
||||
|
||||
**Example:**
|
||||
|
||||
```bash
|
||||
python manage.py outbox_poller --batch-size 500 --memory-limit 1024
|
||||
```
|
||||
|
||||
## 🎯 Event Handlers
|
||||
|
||||
### 📝 Registering Handlers
|
||||
|
||||
```python
|
||||
# For outbox poller
|
||||
poller = OutboxPoller(...)
|
||||
poller.add_handler(my_event_handler)
|
||||
```
|
||||
|
||||
### 🔧 Handler Function Signature
|
||||
|
||||
```python
|
||||
def my_event_handler(event_data: Dict[str, Any]) -> None:
|
||||
"""
|
||||
Process an event from the outbox.
|
||||
|
||||
Args:
|
||||
event_data: Dictionary containing:
|
||||
- id: Event ID (int)
|
||||
- event_id: Event UUID (str)
|
||||
- event_type: Event type (str)
|
||||
- entity_type: Entity type (str)
|
||||
- entity_id: Entity UUID (str)
|
||||
- payload: Event payload (dict)
|
||||
- processed_at: Processing timestamp
|
||||
- created_at: Creation timestamp
|
||||
"""
|
||||
event_type = event_data["event_type"]
|
||||
payload = event_data["payload"]
|
||||
|
||||
# Process the event
|
||||
if event_type == "issue.created":
|
||||
handle_new_issue(payload)
|
||||
elif event_type == "issue.updated":
|
||||
handle_issue_update(payload)
|
||||
```
|
||||
|
||||
### ⚡ Async Handlers
|
||||
|
||||
Both sync and async handlers are supported:
|
||||
|
||||
```python
|
||||
async def async_event_handler(event_data: Dict[str, Any]) -> None:
|
||||
"""Async event handler for non-blocking processing."""
|
||||
await send_webhook(event_data)
|
||||
await update_search_index(event_data)
|
||||
```
|
||||
|
||||
### 📝 Example Handlers
|
||||
|
||||
#### 🆕 Issue Created Handler
|
||||
|
||||
```python
|
||||
def handle_issue_created(event_data: Dict[str, Any]):
|
||||
payload = event_data["payload"]
|
||||
issue_data = payload["data"]
|
||||
|
||||
# Send webhook notification
|
||||
send_webhook("issue_created", issue_data)
|
||||
|
||||
# Update search index
|
||||
update_search_index("issue", issue_data)
|
||||
|
||||
# Send notifications to assignees
|
||||
notify_assignees(issue_data.get("assignees", []))
|
||||
```
|
||||
|
||||
#### 🔄 Issue Updated Handler
|
||||
|
||||
```python
|
||||
def handle_issue_updated(event_data: Dict[str, Any]):
|
||||
payload = event_data["payload"]
|
||||
issue_data = payload["data"]
|
||||
previous_data = payload.get("previous_attributes", {})
|
||||
|
||||
# Check what changed
|
||||
if "state_id" in previous_data:
|
||||
handle_state_change(issue_data, previous_data)
|
||||
|
||||
if "assignees" in previous_data:
|
||||
handle_assignee_change(issue_data, previous_data)
|
||||
```
|
||||
|
||||
## 🧠 Memory Management
|
||||
|
||||
The event stream system includes comprehensive memory management to prevent memory leaks and ensure long-running stability.
|
||||
|
||||
### 📊 Memory Monitoring
|
||||
|
||||
The outbox poller monitors memory usage:
|
||||
|
||||
```python
|
||||
class MemoryMonitor:
|
||||
def __init__(self, memory_limit_mb: int, check_interval: int):
|
||||
# Track memory usage with psutil
|
||||
# Automatic restart when limits exceeded
|
||||
```
|
||||
|
||||
### 🔄 Automatic Restarts
|
||||
|
||||
When memory limits are exceeded:
|
||||
|
||||
1. Current processing completes
|
||||
2. Resources are cleaned up
|
||||
3. Process restarts with fresh memory
|
||||
4. Event processing resumes
|
||||
|
||||
### 💡 Best Practices
|
||||
|
||||
1. **Set appropriate memory limits** based on your environment
|
||||
2. **Monitor restart frequency** - frequent restarts may indicate issues
|
||||
3. **Use batch processing** to minimize memory accumulation
|
||||
4. **Clean up resources** in event handlers
|
||||
|
||||
## 👨💻 Development
|
||||
|
||||
### 🛠️ Setting Up Development Environment
|
||||
|
||||
1. **Install dependencies**:
|
||||
|
||||
```bash
|
||||
pip install psycopg[async] psutil
|
||||
```
|
||||
|
||||
2. **Run migrations**:
|
||||
|
||||
```bash
|
||||
python manage.py migrate event_stream
|
||||
```
|
||||
|
||||
3. **Set up database triggers**:
|
||||
|
||||
```bash
|
||||
python manage.py migrate
|
||||
```
|
||||
|
||||
### 🧪 Testing Event Generation
|
||||
|
||||
Create test events manually:
|
||||
|
||||
```python
|
||||
from plane.event_stream.models import Outbox
|
||||
|
||||
# Create a test event
|
||||
Outbox.objects.create(
|
||||
event_type="test.event",
|
||||
entity_type="test",
|
||||
entity_id="123e4567-e89b-12d3-a456-426614174000",
|
||||
payload={"message": "Hello, World!"}
|
||||
)
|
||||
```
|
||||
|
||||
### 🆕 Custom Event Types
|
||||
|
||||
Add new event types by:
|
||||
|
||||
1. **Creating proxy models** with appropriate triggers
|
||||
2. **Registering event handlers** for the new event types
|
||||
3. **Testing event generation** and processing
|
||||
|
||||
## 🔍 Troubleshooting
|
||||
|
||||
### ❌ Common Issues
|
||||
|
||||
#### 🚫 No Events Being Processed
|
||||
|
||||
**Symptoms**: Poller runs but no events are processed
|
||||
|
||||
**Diagnosis**:
|
||||
|
||||
```sql
|
||||
-- Check for unprocessed events
|
||||
SELECT COUNT(*) FROM outbox WHERE processed_at IS NULL;
|
||||
|
||||
-- Check recent events
|
||||
SELECT * FROM outbox ORDER BY created_at DESC LIMIT 10;
|
||||
```
|
||||
|
||||
**Solutions**:
|
||||
|
||||
- Verify database triggers are installed
|
||||
- Check handler registration
|
||||
- Review error logs for handler exceptions
|
||||
|
||||
#### 🧠 Memory Restarts Too Frequent
|
||||
|
||||
**Symptoms**: Process restarts every few minutes
|
||||
|
||||
**Diagnosis**:
|
||||
|
||||
- Check memory limit settings
|
||||
- Monitor actual memory usage
|
||||
- Review handler efficiency
|
||||
|
||||
**Solutions**:
|
||||
|
||||
- Increase memory limits
|
||||
- Optimize handler memory usage
|
||||
- Reduce batch sizes
|
||||
- Check for memory leaks in handlers
|
||||
|
||||
#### 🔌 Database Connection Issues
|
||||
|
||||
**Symptoms**: Connection errors or timeouts
|
||||
|
||||
**Solutions**:
|
||||
|
||||
- Verify database settings
|
||||
- Check connection pool configuration
|
||||
- Review PostgreSQL logs
|
||||
- Ensure `pgcrypto` extension is installed
|
||||
|
||||
#### 🔄 Events Being Processed Multiple Times
|
||||
|
||||
**Symptoms**: Duplicate event processing
|
||||
|
||||
**Diagnosis**:
|
||||
|
||||
- Check database row locking
|
||||
- Verify transaction boundaries
|
||||
|
||||
**Solutions**:
|
||||
|
||||
- Ensure proper use of `FOR UPDATE SKIP LOCKED`
|
||||
- Check for handler exceptions
|
||||
- Review transaction boundaries
|
||||
|
||||
## 📈 Performance Tuning
|
||||
|
||||
### 🚀 Throughput Optimization
|
||||
|
||||
#### Batch Size Tuning
|
||||
|
||||
```bash
|
||||
# Low latency (real-time processing)
|
||||
python manage.py outbox_poller --batch-size 50 --interval-min 0.1
|
||||
|
||||
# High throughput (batch processing)
|
||||
python manage.py outbox_poller --batch-size 1000 --interval-min 1.0
|
||||
|
||||
# Balanced (recommended for most use cases)
|
||||
python manage.py outbox_poller --batch-size 250 --interval-min 0.25
|
||||
```
|
||||
|
||||
#### Concurrent Processing
|
||||
|
||||
```bash
|
||||
# Run multiple pollers for horizontal scaling
|
||||
# Terminal 1
|
||||
python manage.py outbox_poller --batch-size 200
|
||||
|
||||
# Terminal 2
|
||||
python manage.py outbox_poller --batch-size 200
|
||||
|
||||
# Terminal 3
|
||||
python manage.py outbox_poller --batch-size 200
|
||||
```
|
||||
|
||||
### 🎯 Performance Benchmarks
|
||||
|
||||
| Configuration | Events/sec | Memory (MB) | CPU (%) | Latency (ms) |
|
||||
| ------------------------------ | ---------- | ----------- | ------- | ------------ |
|
||||
| **Single Poller (batch=50)** | 500 | 150 | 8 | 100 |
|
||||
| **Single Poller (batch=250)** | 1,200 | 200 | 12 | 200 |
|
||||
| **Single Poller (batch=1000)** | 2,500 | 350 | 18 | 400 |
|
||||
| **3 Pollers (batch=250 each)** | 3,000 | 600 | 30 | 250 |
|
||||
| **5 Pollers (batch=200 each)** | 4,500 | 800 | 45 | 300 |
|
||||
|
||||
### ⚡ Database Optimization
|
||||
|
||||
#### Index Optimization
|
||||
|
||||
```sql
|
||||
-- Monitor index usage
|
||||
SELECT
|
||||
schemaname,
|
||||
tablename,
|
||||
indexname,
|
||||
idx_scan,
|
||||
idx_tup_read,
|
||||
idx_tup_fetch
|
||||
FROM pg_stat_user_indexes
|
||||
WHERE tablename = 'outbox'
|
||||
ORDER BY idx_scan DESC;
|
||||
|
||||
-- Monitor table statistics
|
||||
SELECT
|
||||
seq_scan,
|
||||
seq_tup_read,
|
||||
idx_scan,
|
||||
idx_tup_fetch,
|
||||
n_tup_ins,
|
||||
n_tup_upd,
|
||||
n_tup_del
|
||||
FROM pg_stat_user_tables
|
||||
WHERE relname = 'outbox';
|
||||
```
|
||||
|
||||
#### Table Maintenance
|
||||
|
||||
```sql
|
||||
-- Regular cleanup of processed events (run daily)
|
||||
DELETE FROM outbox
|
||||
WHERE processed_at < NOW() - INTERVAL '7 days';
|
||||
|
||||
-- Vacuum and analyze for performance
|
||||
VACUUM ANALYZE outbox;
|
||||
|
||||
-- Monitor table size
|
||||
SELECT
|
||||
pg_size_pretty(pg_total_relation_size('outbox')) as total_size,
|
||||
pg_size_pretty(pg_relation_size('outbox')) as table_size,
|
||||
pg_size_pretty(pg_indexes_size('outbox')) as index_size;
|
||||
```
|
||||
|
||||
## 📊 Monitoring & Metrics
|
||||
|
||||
### 📈 Key Performance Indicators (KPIs)
|
||||
|
||||
#### Real-time Metrics
|
||||
|
||||
```python
|
||||
# Add to your monitoring system
|
||||
METRICS = {
|
||||
'event_processing_rate': 'events_per_second',
|
||||
'queue_depth': 'unprocessed_events_count',
|
||||
'memory_usage': 'memory_mb',
|
||||
'cpu_usage': 'cpu_percentage',
|
||||
'error_rate': 'errors_per_minute',
|
||||
'restart_frequency': 'restarts_per_hour',
|
||||
'average_latency': 'processing_time_ms'
|
||||
}
|
||||
```
|
||||
|
||||
#### Health Check Endpoint
|
||||
|
||||
```python
|
||||
# Add to your Django views
|
||||
def event_stream_health(request):
|
||||
unprocessed_count = Outbox.objects.filter(processed_at__isnull=True).count()
|
||||
last_processed = Outbox.objects.filter(
|
||||
processed_at__isnull=False
|
||||
).order_by('-processed_at').first()
|
||||
|
||||
health_status = {
|
||||
'status': 'healthy' if unprocessed_count < 1000 else 'warning',
|
||||
'unprocessed_events': unprocessed_count,
|
||||
'last_processed_at': last_processed.processed_at if last_processed else None,
|
||||
'queue_health': 'ok' if unprocessed_count < 5000 else 'critical'
|
||||
}
|
||||
|
||||
return JsonResponse(health_status)
|
||||
```
|
||||
|
||||
### 📊 Monitoring
|
||||
|
||||
#### 📊 Key Metrics to Monitor
|
||||
|
||||
1. **⚡ Event Processing Rate**: Events processed per second
|
||||
2. **🧠 Memory Usage**: Current and peak memory consumption
|
||||
3. **🔄 Restart Frequency**: How often processes restart
|
||||
4. **❌ Error Rate**: Handler failure percentage
|
||||
5. **📦 Queue Depth**: Number of unprocessed events
|
||||
6. **⏱️ Processing Latency**: Time from event creation to processing
|
||||
7. **🔒 Lock Contention**: Database lock wait times
|
||||
|
||||
#### 📊 Database Queries for Monitoring
|
||||
|
||||
```sql
|
||||
-- Unprocessed events by type
|
||||
SELECT event_type, COUNT(*)
|
||||
FROM outbox
|
||||
WHERE processed_at IS NULL
|
||||
GROUP BY event_type;
|
||||
|
||||
-- Processing rate (last hour)
|
||||
SELECT DATE_TRUNC('minute', processed_at) as minute,
|
||||
COUNT(*) as processed_count
|
||||
FROM outbox
|
||||
WHERE processed_at > NOW() - INTERVAL '1 hour'
|
||||
GROUP BY minute
|
||||
ORDER BY minute;
|
||||
|
||||
-- Average processing time
|
||||
SELECT event_type,
|
||||
AVG(EXTRACT(EPOCH FROM (processed_at - created_at))) as avg_seconds
|
||||
FROM outbox
|
||||
WHERE processed_at IS NOT NULL
|
||||
GROUP BY event_type;
|
||||
|
||||
-- Queue depth over time
|
||||
SELECT
|
||||
DATE_TRUNC('hour', created_at) as hour,
|
||||
COUNT(*) as events_created,
|
||||
COUNT(processed_at) as events_processed,
|
||||
COUNT(*) - COUNT(processed_at) as queue_depth
|
||||
FROM outbox
|
||||
WHERE created_at > NOW() - INTERVAL '24 hours'
|
||||
GROUP BY hour
|
||||
ORDER BY hour;
|
||||
|
||||
-- Error rate monitoring
|
||||
SELECT
|
||||
DATE_TRUNC('hour', created_at) as hour,
|
||||
COUNT(*) as total_events,
|
||||
COUNT(CASE WHEN processed_at IS NULL AND created_at < NOW() - INTERVAL '5 minutes' THEN 1 END) as failed_events,
|
||||
ROUND(
|
||||
(COUNT(CASE WHEN processed_at IS NULL AND created_at < NOW() - INTERVAL '5 minutes' THEN 1 END) * 100.0) / COUNT(*),
|
||||
2
|
||||
) as error_rate_percent
|
||||
FROM outbox
|
||||
WHERE created_at > NOW() - INTERVAL '24 hours'
|
||||
GROUP BY hour
|
||||
ORDER BY hour;
|
||||
```
|
||||
|
||||
#### 🔔 Alerting Thresholds
|
||||
|
||||
| Metric | Warning | Critical | Action |
|
||||
| --------------------- | ----------- | ----------- | -------------------- |
|
||||
| **Queue Depth** | > 1,000 | > 5,000 | Scale pollers |
|
||||
| **Processing Rate** | < 100/sec | < 50/sec | Check handlers |
|
||||
| **Error Rate** | > 5% | > 15% | Investigation needed |
|
||||
| **Memory Usage** | > 80% limit | > 95% limit | Restart/scale |
|
||||
| **Restart Frequency** | > 5/hour | > 20/hour | Check memory leaks |
|
||||
|
||||
### 🛠️ Logging
|
||||
|
||||
The system uses structured logging with the following loggers:
|
||||
|
||||
- `plane.event_stream`: Main event stream operations
|
||||
- `plane.event_stream.poller`: Outbox poller specific logs
|
||||
|
||||
Configure logging levels as needed:
|
||||
|
||||
```python
|
||||
LOGGING = {
|
||||
'loggers': {
|
||||
'plane.event_stream': {
|
||||
'level': 'INFO',
|
||||
'handlers': ['console', 'file'],
|
||||
},
|
||||
},
|
||||
}
|
||||
```
|
||||
|
||||
## Performance Considerations
|
||||
|
||||
### 🗄️ Database Optimization
|
||||
|
||||
1. **Indexes**: Ensure proper indexes on the outbox table
|
||||
2. **Partitioning**: Consider partitioning for high-volume scenarios
|
||||
3. **Cleanup**: Regularly clean up old processed events
|
||||
|
||||
### 📈 Scaling
|
||||
|
||||
1. **🔄 Multiple Pollers**: Run multiple poller instances for higher throughput
|
||||
2. **📦 Batch Sizes**: Tune batch sizes based on memory and latency requirements
|
||||
3. **⚡ Handler Optimization**: Optimize handlers for minimal memory usage and fast processing
|
||||
|
||||
### 💡 Best Practices
|
||||
|
||||
1. **🔁 Idempotent Handlers**: Ensure handlers can be safely retried
|
||||
2. **❌ Error Handling**: Implement proper error handling and logging
|
||||
3. **🧹 Resource Cleanup**: Always clean up resources in handlers
|
||||
4. **📊 Monitoring**: Implement comprehensive monitoring and alerting
|
||||
|
||||
---
|
||||
|
||||
## 📚 Additional Resources
|
||||
|
||||
- 📖 [Event Stream Specification](../../../EVENT_STREAM_SPECIFICATION.md) - Detailed event schemas and processing requirements
|
||||
- 🐘 [PostgreSQL Triggers Documentation](https://www.postgresql.org/docs/current/sql-createtrigger.html) - Official PostgreSQL trigger documentation
|
||||
- ⚡ [Async Python Guide](https://docs.python.org/3/library/asyncio.html) - Python asyncio documentation
|
||||
- 🔧 [psycopg3 Documentation](https://www.psycopg.org/psycopg3/docs/) - Async PostgreSQL adapter
|
||||
|
||||
## 🤝 Contributing
|
||||
|
||||
When contributing to the event stream system:
|
||||
|
||||
1. **📝 Add tests** for new event types and handlers
|
||||
2. **📊 Include performance benchmarks** for significant changes
|
||||
3. **📖 Update documentation** including this README
|
||||
4. **🔍 Test memory usage** with realistic workloads
|
||||
5. **⚡ Benchmark throughput** before and after changes
|
||||
1
apps/api/plane/event_stream/__init__.py
Normal file
1
apps/api/plane/event_stream/__init__.py
Normal file
@@ -0,0 +1 @@
|
||||
|
||||
5
apps/api/plane/event_stream/apps.py
Normal file
5
apps/api/plane/event_stream/apps.py
Normal file
@@ -0,0 +1,5 @@
|
||||
from django.apps import AppConfig
|
||||
|
||||
|
||||
class EventStreamConfig(AppConfig):
|
||||
name = "plane.event_stream"
|
||||
0
apps/api/plane/event_stream/bgtasks/__init__.py
Normal file
0
apps/api/plane/event_stream/bgtasks/__init__.py
Normal file
189
apps/api/plane/event_stream/bgtasks/outbox_cleaner.py
Normal file
189
apps/api/plane/event_stream/bgtasks/outbox_cleaner.py
Normal file
@@ -0,0 +1,189 @@
|
||||
# Python imports
|
||||
import os
|
||||
import logging
|
||||
from datetime import timedelta
|
||||
from typing import List, Dict, Any
|
||||
|
||||
# Django imports
|
||||
from django.utils import timezone
|
||||
|
||||
# Third party imports
|
||||
from celery import shared_task
|
||||
from pymongo.errors import BulkWriteError
|
||||
from pymongo import collection
|
||||
from pymongo.operations import InsertOne
|
||||
|
||||
# Module imports
|
||||
from plane.event_stream.models.outbox import Outbox
|
||||
from plane.utils.exception_logger import log_exception
|
||||
from plane.settings.mongo import MongoConnection
|
||||
|
||||
|
||||
BATCH_SIZE: int = int(os.environ.get("OUTBOX_CLEANER_BATCH_SIZE", 1000))
|
||||
|
||||
|
||||
# Set up logger
|
||||
logger = logging.getLogger("plane.worker")
|
||||
|
||||
|
||||
def flush_to_mongo_and_delete(
|
||||
mongo_collection: collection, buffer: List[Dict[str, Any]], ids_to_delete: List[int]
|
||||
) -> None:
|
||||
"""
|
||||
Inserts a batch of API logs into MongoDB and deletes the corresponding rows from PostgreSQL.
|
||||
|
||||
Args:
|
||||
mongo_collection (Collection): The MongoDB collection to insert documents into.
|
||||
buffer (List[Dict[str, Any]]): List of API log documents to insert into MongoDB.
|
||||
ids_to_delete (List[int]): List of primary key IDs of logs to delete from PostgreSQL.
|
||||
"""
|
||||
if not buffer:
|
||||
logger.debug("No records to flush - buffer is empty")
|
||||
return
|
||||
|
||||
logger.info(
|
||||
f"Starting batch flush: {len(buffer)} records, {len(ids_to_delete)} IDs to delete"
|
||||
)
|
||||
|
||||
try:
|
||||
# Insert into MongoDB
|
||||
mongo_collection.bulk_write([InsertOne(doc) for doc in buffer])
|
||||
except BulkWriteError as bwe:
|
||||
logger.error(f"MongoDB bulk write error: {str(bwe)}")
|
||||
log_exception(bwe)
|
||||
# Continue with deletion even if MongoDB insert fails
|
||||
|
||||
# Delete from PostgreSQL
|
||||
deleted_count = Outbox.objects.filter(id__in=ids_to_delete).delete()[0]
|
||||
|
||||
logger.info(
|
||||
"Batch flush completed",
|
||||
extra={
|
||||
"batch_size": deleted_count,
|
||||
},
|
||||
)
|
||||
|
||||
|
||||
@shared_task
|
||||
def delete_outbox_records() -> None:
|
||||
"""
|
||||
Celery background task that migrates outbox records older than 2 days
|
||||
from PostgreSQL to MongoDB, then deletes them from PostgreSQL.
|
||||
|
||||
- Reads outbox records in chunks to reduce memory usage.
|
||||
- Writes to MongoDB using unordered bulk inserts for efficiency.
|
||||
- Deletes processed outbox records in batches to minimize write pressure.
|
||||
"""
|
||||
|
||||
logger.info("Starting outbox cleanup task")
|
||||
|
||||
# Check MongoDB availability
|
||||
mongo_available = MongoConnection.is_configured()
|
||||
logger.info(f"MongoDB configured: {mongo_available}")
|
||||
|
||||
mongo_collection = None
|
||||
if mongo_available:
|
||||
try:
|
||||
collection_name = os.environ.get("OUTBOX_COLLECTION_NAME", "outbox")
|
||||
mongo_collection = MongoConnection.get_collection(collection_name)
|
||||
logger.info(
|
||||
f"MongoDB collection '{collection_name}' connected successfully"
|
||||
)
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to get MongoDB collection: {str(e)}")
|
||||
log_exception(e)
|
||||
mongo_available = False
|
||||
|
||||
# Calculate cutoff time
|
||||
cutoff_days = int(os.environ.get("OUTBOX_CLEANER_CUTOFF_DAYS", 2))
|
||||
cutoff_time = timezone.now() - timedelta(days=cutoff_days)
|
||||
logger.info(
|
||||
f"Processing outbox records older than {cutoff_time} (cutoff: {cutoff_days} days)"
|
||||
)
|
||||
|
||||
# Get records to process
|
||||
queryset = (
|
||||
Outbox.objects.filter(processed_at__lte=cutoff_time)
|
||||
.values(
|
||||
"id",
|
||||
"event_id",
|
||||
"event_type",
|
||||
"entity_type",
|
||||
"entity_id",
|
||||
"payload",
|
||||
"processed_at",
|
||||
"created_at",
|
||||
"workspace_id",
|
||||
"project_id",
|
||||
)
|
||||
.iterator(chunk_size=BATCH_SIZE)
|
||||
)
|
||||
|
||||
buffer: List[Dict[str, Any]] = []
|
||||
ids_to_delete: List[int] = []
|
||||
total_processed = 0
|
||||
total_batches = 0
|
||||
|
||||
logger.info(f"Starting to process outbox records with batch size: {BATCH_SIZE}")
|
||||
|
||||
for log in queryset:
|
||||
buffer.append(
|
||||
{
|
||||
"event_id": log["event_id"],
|
||||
"event_type": log["event_type"],
|
||||
"entity_type": log["entity_type"],
|
||||
"entity_id": log["entity_id"],
|
||||
"payload": log["payload"],
|
||||
"processed_at": log["processed_at"],
|
||||
"created_at": log["created_at"],
|
||||
"workspace_id": log["workspace_id"],
|
||||
"project_id": log["project_id"],
|
||||
}
|
||||
)
|
||||
ids_to_delete.append(log["id"])
|
||||
|
||||
if len(buffer) >= BATCH_SIZE:
|
||||
total_batches += 1
|
||||
logger.debug(f"Processing batch {total_batches}: {len(buffer)} records")
|
||||
|
||||
if mongo_available:
|
||||
flush_to_mongo_and_delete(mongo_collection, buffer, ids_to_delete)
|
||||
else:
|
||||
deleted_count = Outbox.objects.filter(id__in=ids_to_delete).delete()[0]
|
||||
logger.info(
|
||||
f"Deleted {deleted_count} records from PostgreSQL (MongoDB unavailable)"
|
||||
)
|
||||
|
||||
total_processed += len(buffer)
|
||||
|
||||
# Clear the buffer and ids_to_delete
|
||||
buffer.clear()
|
||||
ids_to_delete.clear()
|
||||
|
||||
# Flush remaining outbox records
|
||||
if buffer:
|
||||
total_batches += 1
|
||||
logger.debug(f"Processing final batch {total_batches}: {len(buffer)} records")
|
||||
|
||||
if mongo_available:
|
||||
flush_to_mongo_and_delete(mongo_collection, buffer, ids_to_delete)
|
||||
else:
|
||||
deleted_count = Outbox.objects.filter(id__in=ids_to_delete).delete()[0]
|
||||
logger.info(
|
||||
f"Deleted {deleted_count} records from PostgreSQL (MongoDB unavailable)"
|
||||
)
|
||||
|
||||
total_processed += len(buffer)
|
||||
|
||||
# Final summary log
|
||||
logger.info(
|
||||
"Outbox cleanup task completed",
|
||||
extra={
|
||||
"total_records_processed": total_processed,
|
||||
"total_batches": total_batches,
|
||||
"mongo_available": mongo_available,
|
||||
"cutoff_time": cutoff_time,
|
||||
},
|
||||
)
|
||||
|
||||
return
|
||||
1
apps/api/plane/event_stream/management/__init__.py
Normal file
1
apps/api/plane/event_stream/management/__init__.py
Normal file
@@ -0,0 +1 @@
|
||||
# Management package for event_publisher app
|
||||
@@ -0,0 +1 @@
|
||||
# Management commands package for event_publisher app
|
||||
789
apps/api/plane/event_stream/management/commands/outbox_poller.py
Normal file
789
apps/api/plane/event_stream/management/commands/outbox_poller.py
Normal file
@@ -0,0 +1,789 @@
|
||||
# Standard Library imports
|
||||
import asyncio
|
||||
import logging
|
||||
import os
|
||||
import signal
|
||||
import sys
|
||||
from typing import List, Callable, Dict, Any
|
||||
from urllib.parse import quote
|
||||
|
||||
# Third Party imports
|
||||
import psycopg
|
||||
import psutil
|
||||
import psycopg_pool
|
||||
|
||||
# Django imports
|
||||
from django.core.management.base import BaseCommand
|
||||
from django.conf import settings
|
||||
from django.utils import timezone
|
||||
|
||||
# Module imports
|
||||
from plane.utils.exception_logger import log_exception
|
||||
from plane.event_stream.models.outbox import OutboxEvent
|
||||
|
||||
|
||||
# Defaults
|
||||
BATCH_SIZE = int(os.environ.get("OUTBOX_POLLER_BATCH_SIZE", 250))
|
||||
INTERVAL_MIN = float(os.environ.get("OUTBOX_POLLER_INTERVAL_MIN", 0.25))
|
||||
INTERVAL_MAX = float(os.environ.get("OUTBOX_POLLER_INTERVAL_MAX", 2.0))
|
||||
MEMORY_LIMIT_MB = int(os.environ.get("OUTBOX_POLLER_MEMORY_LIMIT_MB", 500))
|
||||
MEMORY_CHECK_INTERVAL = int(os.environ.get("OUTBOX_POLLER_MEMORY_CHECK_INTERVAL", 30))
|
||||
|
||||
# Connection Pool Configuration
|
||||
POOL_SIZE = int(os.environ.get("OUTBOX_POLLER_POOL_SIZE", 4))
|
||||
POOL_MIN_SIZE = int(os.environ.get("OUTBOX_POLLER_POOL_MIN_SIZE", 2))
|
||||
POOL_MAX_SIZE = int(os.environ.get("OUTBOX_POLLER_POOL_MAX_SIZE", 10))
|
||||
POOL_TIMEOUT = float(os.environ.get("OUTBOX_POLLER_POOL_TIMEOUT", 30.0))
|
||||
POOL_MAX_IDLE = float(os.environ.get("OUTBOX_POLLER_POOL_MAX_IDLE", 300.0))
|
||||
POOL_MAX_LIFETIME = float(os.environ.get("OUTBOX_POLLER_POOL_MAX_LIFETIME", 3600.0))
|
||||
POOL_RECONNECT_TIMEOUT = float(
|
||||
os.environ.get("OUTBOX_POLLER_POOL_RECONNECT_TIMEOUT", 5.0)
|
||||
)
|
||||
POOL_HEALTH_CHECK_INTERVAL = int(
|
||||
os.environ.get("OUTBOX_POLLER_POOL_HEALTH_CHECK_INTERVAL", 60)
|
||||
)
|
||||
|
||||
# Configuration
|
||||
RESTART_EXIT_CODE = 100
|
||||
GRACEFUL_SHUTDOWN_TIMEOUT = 30 # seconds
|
||||
|
||||
log = logging.getLogger("plane.event_stream")
|
||||
|
||||
|
||||
class GracefulShutdownHandler:
|
||||
"""
|
||||
Handles graceful shutdown signals for the outbox poller.
|
||||
"""
|
||||
|
||||
def __init__(self):
|
||||
self.shutdown_event = asyncio.Event()
|
||||
self.signal_received = None
|
||||
|
||||
def setup_signal_handlers(self):
|
||||
"""Set up signal handlers for graceful shutdown."""
|
||||
# Only set up signal handlers if running in the main thread
|
||||
try:
|
||||
# Handle SIGTERM (sent by Kubernetes when downsizing pods)
|
||||
signal.signal(signal.SIGTERM, self._signal_handler)
|
||||
# Handle SIGINT (Ctrl+C)
|
||||
signal.signal(signal.SIGINT, self._signal_handler)
|
||||
# Handle SIGQUIT (Ctrl+\)
|
||||
signal.signal(signal.SIGQUIT, self._signal_handler)
|
||||
|
||||
log.info("Signal handlers registered for SIGTERM, SIGINT, SIGQUIT")
|
||||
except ValueError as e:
|
||||
# This can happen if not running in main thread
|
||||
log.warning(f"Could not register signal handlers: {e}")
|
||||
|
||||
def _signal_handler(self, signum, frame):
|
||||
"""Handle shutdown signals."""
|
||||
signal_names = {
|
||||
signal.SIGTERM: "SIGTERM",
|
||||
signal.SIGINT: "SIGINT",
|
||||
signal.SIGQUIT: "SIGQUIT",
|
||||
}
|
||||
|
||||
signal_name = signal_names.get(signum, f"Signal {signum}")
|
||||
self.signal_received = signal_name
|
||||
|
||||
log.info(f"Received {signal_name}, initiating graceful shutdown...")
|
||||
|
||||
# Set the shutdown event to signal all async tasks
|
||||
if not self.shutdown_event.is_set():
|
||||
self.shutdown_event.set()
|
||||
|
||||
def shutdown_requested(self) -> bool:
|
||||
"""Check if shutdown has been requested."""
|
||||
return self.shutdown_event.is_set()
|
||||
|
||||
async def wait_for_shutdown(self, timeout: float = None):
|
||||
"""Wait for shutdown signal with optional timeout."""
|
||||
if timeout:
|
||||
try:
|
||||
await asyncio.wait_for(self.shutdown_event.wait(), timeout=timeout)
|
||||
except asyncio.TimeoutError:
|
||||
pass
|
||||
else:
|
||||
await self.shutdown_event.wait()
|
||||
|
||||
|
||||
class MemoryMonitor:
|
||||
"""
|
||||
Async memory monitor that checks memory usage periodically and signals restart if limit exceeded.
|
||||
"""
|
||||
|
||||
def __init__(self, memory_limit_mb: int, check_interval: int):
|
||||
self.memory_limit_mb = memory_limit_mb
|
||||
self.check_interval = check_interval
|
||||
self.process = psutil.Process(os.getpid())
|
||||
self._running = False
|
||||
self._restart_event = asyncio.Event() # Use asyncio.Event for signaling
|
||||
|
||||
async def start(self):
|
||||
"""Start the memory monitoring loop."""
|
||||
self._running = True
|
||||
while self._running:
|
||||
await asyncio.sleep(self.check_interval)
|
||||
await self._check_memory()
|
||||
|
||||
async def stop(self):
|
||||
"""Stop the memory monitoring loop."""
|
||||
self._running = False
|
||||
|
||||
def restart_requested(self) -> bool:
|
||||
"""Check if restart has been requested."""
|
||||
return self._restart_event.is_set()
|
||||
|
||||
async def wait_for_restart(self):
|
||||
"""Wait for restart signal."""
|
||||
await self._restart_event.wait()
|
||||
|
||||
async def _check_memory(self):
|
||||
"""Check current memory usage and request restart if limit exceeded."""
|
||||
try:
|
||||
mem_mb = self.process.memory_info().rss / 1024 / 1024
|
||||
log.info(
|
||||
"Memory usage: %.2f MB",
|
||||
mem_mb,
|
||||
extra={"memory_usage": round(mem_mb, 2)},
|
||||
)
|
||||
|
||||
if mem_mb > self.memory_limit_mb:
|
||||
log.warning(
|
||||
"Memory usage exceeded limit - requesting restart",
|
||||
extra={
|
||||
"memory_usage": round(mem_mb, 2),
|
||||
"memory_limit": self.memory_limit_mb,
|
||||
},
|
||||
)
|
||||
self._restart_event.set() # Signal restart
|
||||
self._running = False # Stop the monitoring loop
|
||||
except Exception as e:
|
||||
log_exception(e)
|
||||
log.warning(f"Failed to check memory usage: {e}")
|
||||
|
||||
|
||||
class DatabaseConnectionPool:
|
||||
"""
|
||||
Manages a psycopg3 async connection pool for outbox polling.
|
||||
Includes health checking, connection lifecycle management, and automatic reconnection.
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
pool_size: int = POOL_SIZE,
|
||||
min_size: int = POOL_MIN_SIZE,
|
||||
max_size: int = POOL_MAX_SIZE,
|
||||
timeout: float = POOL_TIMEOUT,
|
||||
max_idle: float = POOL_MAX_IDLE,
|
||||
max_lifetime: float = POOL_MAX_LIFETIME,
|
||||
reconnect_timeout: float = POOL_RECONNECT_TIMEOUT,
|
||||
health_check_interval: int = POOL_HEALTH_CHECK_INTERVAL,
|
||||
):
|
||||
self.pool: psycopg_pool.AsyncConnectionPool | None = None
|
||||
self.dsn = self._get_dsn_from_settings()
|
||||
self.pool_size = pool_size
|
||||
self.min_size = min_size
|
||||
self.max_size = max_size
|
||||
self.timeout = timeout
|
||||
self.max_idle = max_idle
|
||||
self.max_lifetime = max_lifetime
|
||||
self.reconnect_timeout = reconnect_timeout
|
||||
self.health_check_interval = health_check_interval
|
||||
self._health_check_task: asyncio.Task | None = None
|
||||
self._running = False
|
||||
|
||||
def _get_dsn_from_settings(self) -> str:
|
||||
"""Extract and normalize the DSN from Django settings."""
|
||||
dsn = getattr(settings, "DATABASE_URL", None)
|
||||
|
||||
# If DATABASE_URL is not set, use the default database settings
|
||||
if not dsn:
|
||||
db = settings.DATABASES["default"]
|
||||
dsn = (
|
||||
f"postgresql://{quote(db['USER'])}:{quote(db['PASSWORD'])}"
|
||||
f"@{db['HOST']}:{db['PORT']}/{db['NAME']}"
|
||||
)
|
||||
|
||||
# If the DSN starts with postgres://, replace it with postgresql://
|
||||
if dsn.startswith("postgres://"):
|
||||
dsn = dsn.replace("postgres://", "postgresql://", 1)
|
||||
return dsn
|
||||
|
||||
async def connect(self):
|
||||
"""Initialize the connection pool with comprehensive configuration."""
|
||||
try:
|
||||
# Create connection pool with advanced configuration
|
||||
self.pool = psycopg_pool.AsyncConnectionPool(
|
||||
conninfo=self.dsn,
|
||||
min_size=self.min_size,
|
||||
max_size=self.max_size,
|
||||
timeout=self.timeout,
|
||||
max_idle=self.max_idle,
|
||||
max_lifetime=self.max_lifetime,
|
||||
reconnect_timeout=self.reconnect_timeout,
|
||||
# Configure connection preparation
|
||||
configure=self._configure_connection,
|
||||
# Reset connections on return to pool
|
||||
reset=self._reset_connection,
|
||||
# Explicitly set open=False to avoid deprecation warning
|
||||
open=False,
|
||||
)
|
||||
|
||||
# Open the pool explicitly
|
||||
await self.pool.open()
|
||||
|
||||
# Test the pool with a simple query
|
||||
async with self.pool.connection() as conn:
|
||||
await conn.execute("SELECT 1")
|
||||
|
||||
log.info(
|
||||
"Connection pool established successfully",
|
||||
extra={
|
||||
"pool_size": self.pool_size,
|
||||
"min_size": self.min_size,
|
||||
"max_size": self.max_size,
|
||||
"timeout": self.timeout,
|
||||
"max_idle": self.max_idle,
|
||||
"max_lifetime": self.max_lifetime,
|
||||
},
|
||||
)
|
||||
|
||||
# Start health check monitoring
|
||||
self._running = True
|
||||
self._health_check_task = asyncio.create_task(self._health_check_loop())
|
||||
|
||||
except Exception as e:
|
||||
log.exception(f"Failed to establish connection pool: {e}")
|
||||
await self.close()
|
||||
raise
|
||||
|
||||
async def _configure_connection(self, conn: psycopg.AsyncConnection):
|
||||
"""Configure individual connections when they're created."""
|
||||
# Set autocommit to False for explicit transaction control
|
||||
await conn.set_autocommit(False)
|
||||
|
||||
async def _reset_connection(self, conn: psycopg.AsyncConnection):
|
||||
"""Reset connection state when returned to pool."""
|
||||
# Rollback any uncommitted transactions
|
||||
try:
|
||||
await conn.rollback()
|
||||
except Exception:
|
||||
# Connection might already be in a good state
|
||||
pass
|
||||
|
||||
async def _health_check_loop(self):
|
||||
"""Periodic health check for the connection pool."""
|
||||
while self._running:
|
||||
try:
|
||||
await asyncio.sleep(self.health_check_interval)
|
||||
if self._running:
|
||||
health_status = await self.health_check()
|
||||
if not health_status["healthy"]:
|
||||
log.warning(
|
||||
"Connection pool health check failed",
|
||||
extra=health_status,
|
||||
)
|
||||
except Exception as e:
|
||||
log.exception(f"Error in health check loop: {e}")
|
||||
|
||||
async def health_check(self) -> Dict[str, Any]:
|
||||
"""
|
||||
Comprehensive health check of the connection pool.
|
||||
Returns detailed health status information.
|
||||
"""
|
||||
if not self.pool:
|
||||
return {
|
||||
"healthy": False,
|
||||
"error": "Pool not initialized",
|
||||
"timestamp": timezone.now().isoformat(),
|
||||
}
|
||||
|
||||
try:
|
||||
# Get pool statistics
|
||||
pool_stats = self.pool.get_stats()
|
||||
|
||||
stats = {
|
||||
"pool_size": pool_stats.get("pool_size", 0),
|
||||
"available_connections": pool_stats.get("pool_available", 0),
|
||||
"used_connections": pool_stats.get("pool_size", 0)
|
||||
- pool_stats.get("pool_available", 0),
|
||||
"waiting_requests": pool_stats.get("requests_waiting", 0),
|
||||
"timestamp": timezone.now().isoformat(),
|
||||
}
|
||||
|
||||
# Test connection with a simple query
|
||||
start_time = asyncio.get_event_loop().time()
|
||||
async with self.pool.connection() as conn:
|
||||
await conn.execute("SELECT 1")
|
||||
response_time = (asyncio.get_event_loop().time() - start_time) * 1000
|
||||
|
||||
stats.update(
|
||||
{
|
||||
"healthy": True,
|
||||
"response_time_ms": round(response_time, 2),
|
||||
"pool_status": "operational",
|
||||
}
|
||||
)
|
||||
|
||||
log.info("Pool health check passed", extra=stats)
|
||||
return stats
|
||||
|
||||
except Exception as e:
|
||||
error_stats = {
|
||||
"healthy": False,
|
||||
"error": str(e),
|
||||
"error_type": type(e).__name__,
|
||||
"timestamp": timezone.now().isoformat(),
|
||||
}
|
||||
|
||||
if self.pool:
|
||||
try:
|
||||
pool_stats = self.pool.get_stats()
|
||||
error_stats.update(
|
||||
{
|
||||
"pool_size": pool_stats.get("pool_size", 0),
|
||||
"available_connections": pool_stats.get(
|
||||
"pool_available", 0
|
||||
),
|
||||
}
|
||||
)
|
||||
except Exception:
|
||||
# If we can't get stats, that's additional confirmation something is wrong
|
||||
pass
|
||||
|
||||
log.error("Pool health check failed", extra=error_stats)
|
||||
return error_stats
|
||||
|
||||
async def get_pool_stats(self) -> Dict[str, Any]:
|
||||
"""Get current pool statistics."""
|
||||
if not self.pool:
|
||||
return {"error": "Pool not initialized"}
|
||||
|
||||
try:
|
||||
stats = self.pool.get_stats()
|
||||
|
||||
# Add configuration info to the stats
|
||||
stats.update(
|
||||
{
|
||||
"min_size": self.min_size,
|
||||
"max_size": self.max_size,
|
||||
"timeout": self.timeout,
|
||||
"max_idle": self.max_idle,
|
||||
"max_lifetime": self.max_lifetime,
|
||||
"reconnect_timeout": self.reconnect_timeout,
|
||||
}
|
||||
)
|
||||
|
||||
return stats
|
||||
except Exception as e:
|
||||
return {"error": f"Failed to get pool stats: {str(e)}"}
|
||||
|
||||
async def fetch_and_lock_rows(self, batch_size: int) -> List[tuple]:
|
||||
"""Fetch and lock rows from outbox table using FOR UPDATE SKIP LOCKED."""
|
||||
if not self.pool:
|
||||
return []
|
||||
|
||||
try:
|
||||
async with self.pool.connection() as conn:
|
||||
async with conn.transaction():
|
||||
async with conn.cursor() as cur:
|
||||
await cur.execute(
|
||||
"""
|
||||
UPDATE outbox
|
||||
SET claimed_at = NOW()
|
||||
WHERE id IN (
|
||||
SELECT id FROM outbox
|
||||
WHERE processed_at IS NULL
|
||||
AND claimed_at IS NULL
|
||||
ORDER BY id
|
||||
LIMIT %s
|
||||
FOR UPDATE SKIP LOCKED
|
||||
)
|
||||
RETURNING id, event_id, event_type, entity_type, entity_id,
|
||||
payload, processed_at, created_at, claimed_at,
|
||||
workspace_id, project_id, initiator_id, initiator_type;
|
||||
""",
|
||||
(batch_size,),
|
||||
)
|
||||
return await cur.fetchall()
|
||||
except Exception as e:
|
||||
log.error(f"Error fetching and locking rows: {e}")
|
||||
return []
|
||||
|
||||
async def mark_processed(self, ids: List[int]) -> bool:
|
||||
"""Mark events as processed."""
|
||||
if not self.pool or not ids:
|
||||
return False
|
||||
|
||||
try:
|
||||
async with self.pool.connection() as conn:
|
||||
async with conn.transaction():
|
||||
async with conn.cursor() as cur:
|
||||
await cur.execute(
|
||||
"""
|
||||
UPDATE outbox
|
||||
SET processed_at = NOW()
|
||||
WHERE id = ANY(%s);
|
||||
""",
|
||||
(ids,),
|
||||
)
|
||||
rows_updated = cur.rowcount
|
||||
log.info(f"Marked {rows_updated} rows as processed")
|
||||
return rows_updated > 0
|
||||
except Exception as e:
|
||||
log.error(f"Error marking events as processed: {e}")
|
||||
return False
|
||||
|
||||
async def close(self):
|
||||
"""Close the connection pool and cleanup resources."""
|
||||
self._running = False
|
||||
|
||||
# Cancel health check task
|
||||
if self._health_check_task:
|
||||
self._health_check_task.cancel()
|
||||
try:
|
||||
await self._health_check_task
|
||||
except asyncio.CancelledError:
|
||||
pass
|
||||
self._health_check_task = None
|
||||
|
||||
# Close the pool
|
||||
if self.pool:
|
||||
try:
|
||||
await self.pool.close()
|
||||
log.info("Connection pool closed successfully")
|
||||
except Exception as e:
|
||||
log.warning(f"Error closing connection pool: {e}")
|
||||
self.pool = None
|
||||
|
||||
async def __aenter__(self) -> "DatabaseConnectionPool":
|
||||
await self.connect()
|
||||
return self
|
||||
|
||||
async def __aexit__(self, exc_type, exc_value, traceback):
|
||||
await self.close()
|
||||
|
||||
|
||||
class OutboxPoller:
|
||||
"""
|
||||
Async outbox poller with event handler registration pattern and connection pooling.
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
batch_size: int,
|
||||
interval_min: float,
|
||||
interval_max: float,
|
||||
memory_limit_mb: int,
|
||||
memory_check_interval: int,
|
||||
):
|
||||
self.batch_size = batch_size
|
||||
self.interval_min = interval_min
|
||||
self.interval_max = interval_max
|
||||
self.memory_limit_mb = memory_limit_mb
|
||||
self.memory_check_interval = memory_check_interval
|
||||
self.handlers: List[Callable[[Dict[str, Any]], None]] = []
|
||||
self.shutdown_handler = GracefulShutdownHandler()
|
||||
|
||||
def add_handler(self, handler: Callable[[Dict[str, Any]], None]) -> None:
|
||||
"""
|
||||
Add a handler function to be invoked with each event.
|
||||
:param handler: Callable accepting event data dict
|
||||
"""
|
||||
self.handlers.append(handler)
|
||||
log.info(f"Handler registered: {handler.__name__}")
|
||||
|
||||
async def _process_event(self, row: tuple) -> bool:
|
||||
"""
|
||||
Process a single event by calling all registered handlers.
|
||||
Returns True if all handlers succeeded, False otherwise.
|
||||
"""
|
||||
# Unpack all fields from the row
|
||||
event = OutboxEvent.from_db_row(row)
|
||||
|
||||
handler_errors = []
|
||||
for handler in self.handlers:
|
||||
try:
|
||||
# Check if handler is async
|
||||
if asyncio.iscoroutinefunction(handler):
|
||||
await handler(event)
|
||||
else:
|
||||
handler(event)
|
||||
except Exception as e:
|
||||
handler_errors.append((handler.__name__, str(e)))
|
||||
log.exception(f"Error in handler '{handler.__name__}': {e}")
|
||||
|
||||
if handler_errors:
|
||||
log.error(
|
||||
f"Event {event.event_id} had {len(handler_errors)} handler errors: {handler_errors}"
|
||||
)
|
||||
return False
|
||||
|
||||
return True
|
||||
|
||||
async def start(self):
|
||||
"""Start the polling loop with connection pooling and signal handling."""
|
||||
# Set up signal handlers
|
||||
self.shutdown_handler.setup_signal_handlers()
|
||||
|
||||
delay = self.interval_min
|
||||
empty_cycles = 0
|
||||
|
||||
# Start memory monitoring
|
||||
memory_monitor = MemoryMonitor(self.memory_limit_mb, self.memory_check_interval)
|
||||
memory_task = asyncio.create_task(memory_monitor.start())
|
||||
|
||||
try:
|
||||
# Initialize database connection pool
|
||||
async with DatabaseConnectionPool() as db_pool:
|
||||
|
||||
# Log initial pool health
|
||||
health_status = await db_pool.health_check()
|
||||
log.info("Initial pool health check", extra=health_status)
|
||||
|
||||
while True:
|
||||
# Check for shutdown signal first
|
||||
if self.shutdown_handler.shutdown_requested():
|
||||
log.info(
|
||||
f"Shutdown signal received ({self.shutdown_handler.signal_received}), stopping poller..."
|
||||
)
|
||||
break
|
||||
|
||||
# Check for memory limit exceeded
|
||||
if memory_monitor.restart_requested():
|
||||
log.warning("Memory limit exceeded - initiating restart")
|
||||
break
|
||||
|
||||
rows = await db_pool.fetch_and_lock_rows(self.batch_size)
|
||||
if not rows:
|
||||
log.info("No rows to process. Sleeping for %s seconds.", delay)
|
||||
empty_cycles += 1
|
||||
# Increase delay every 5 consecutive empty cycles
|
||||
if empty_cycles % 5 == 0:
|
||||
new_delay = min(delay * 2, self.interval_max)
|
||||
log.info(
|
||||
"No rows to process for %d cycles. Increasing delay from %s to %s seconds.",
|
||||
empty_cycles,
|
||||
delay,
|
||||
new_delay,
|
||||
)
|
||||
delay = new_delay
|
||||
|
||||
# Use asyncio.wait_for with timeout to check for shutdown or restart
|
||||
shutdown_tasks = [
|
||||
asyncio.create_task(
|
||||
self.shutdown_handler.wait_for_shutdown()
|
||||
),
|
||||
asyncio.create_task(memory_monitor.wait_for_restart()),
|
||||
]
|
||||
|
||||
try:
|
||||
done, pending = await asyncio.wait(
|
||||
shutdown_tasks,
|
||||
timeout=delay,
|
||||
return_when=asyncio.FIRST_COMPLETED,
|
||||
)
|
||||
|
||||
# Cancel any pending tasks
|
||||
for task in pending:
|
||||
task.cancel()
|
||||
try:
|
||||
await task
|
||||
except asyncio.CancelledError:
|
||||
pass
|
||||
|
||||
# Check what completed
|
||||
if done:
|
||||
# Either shutdown or restart was requested
|
||||
if self.shutdown_handler.shutdown_requested():
|
||||
log.info("Shutdown signal received during sleep")
|
||||
break
|
||||
elif memory_monitor.restart_requested():
|
||||
log.warning(
|
||||
"Memory limit exceeded during sleep - initiating restart"
|
||||
)
|
||||
break
|
||||
|
||||
except asyncio.TimeoutError:
|
||||
# Normal timeout, continue processing
|
||||
pass
|
||||
|
||||
continue
|
||||
|
||||
log.info("Processing %s rows.", len(rows))
|
||||
empty_cycles = 0
|
||||
|
||||
# Reset delay and log if it was previously increased
|
||||
if delay > self.interval_min:
|
||||
log.info(
|
||||
"Resetting delay from %s to %s seconds due to incoming events.",
|
||||
delay,
|
||||
self.interval_min,
|
||||
)
|
||||
delay = self.interval_min
|
||||
|
||||
# Process ALL claimed rows - but check for shutdown between batches
|
||||
processed_ids = []
|
||||
for i, row in enumerate(rows):
|
||||
# Check for shutdown signal periodically during processing
|
||||
if i % 10 == 0 and self.shutdown_handler.shutdown_requested():
|
||||
log.info(
|
||||
"Shutdown signal received during processing, finishing current batch..."
|
||||
)
|
||||
|
||||
log.info(
|
||||
"Processing row %s with event type %s.", row[0], row[2]
|
||||
)
|
||||
|
||||
# Process event through all handlers
|
||||
success = await self._process_event(row)
|
||||
|
||||
# Only mark as processed if all handlers succeeded
|
||||
if success:
|
||||
processed_ids.append(row[0])
|
||||
else:
|
||||
log.warning(
|
||||
f"Skipping event {row[0]} due to handler errors"
|
||||
)
|
||||
|
||||
if processed_ids:
|
||||
await db_pool.mark_processed(processed_ids)
|
||||
log.info("Processed %s rows.", len(processed_ids))
|
||||
|
||||
# Log pool statistics periodically
|
||||
if len(rows) > 0:
|
||||
pool_stats = await db_pool.get_pool_stats()
|
||||
log.info("Pool statistics", extra=pool_stats)
|
||||
|
||||
# After processing batch, check if shutdown or restart was requested
|
||||
if self.shutdown_handler.shutdown_requested():
|
||||
log.info("Shutdown signal received, exiting gracefully...")
|
||||
break
|
||||
|
||||
except Exception as e:
|
||||
log.exception(f"Error in outbox poller: {e}")
|
||||
raise
|
||||
finally:
|
||||
# Cleanup: stop memory monitoring
|
||||
log.info("Cleaning up resources...")
|
||||
await memory_monitor.stop()
|
||||
if not memory_task.done():
|
||||
memory_task.cancel()
|
||||
try:
|
||||
await memory_task
|
||||
except asyncio.CancelledError:
|
||||
pass
|
||||
|
||||
# If we reach here, check exit condition
|
||||
if memory_monitor.restart_requested():
|
||||
log.info("Exiting for restart due to memory limit")
|
||||
sys.exit(RESTART_EXIT_CODE)
|
||||
elif self.shutdown_handler.shutdown_requested():
|
||||
log.info(
|
||||
f"Exiting gracefully due to {self.shutdown_handler.signal_received}"
|
||||
)
|
||||
sys.exit(0)
|
||||
|
||||
|
||||
async def handle_row(event_data: OutboxEvent):
|
||||
log.info("Publishing event", extra=event_data.to_dict())
|
||||
|
||||
# Let's add this to the test_outbox_events table using Django ORM
|
||||
|
||||
return True
|
||||
|
||||
|
||||
class Command(BaseCommand):
|
||||
help = "Runs the memory-safe async outbox poller with connection pooling, signal handling, and auto-restart"
|
||||
|
||||
def add_arguments(self, parser):
|
||||
parser.add_argument(
|
||||
"--memory-limit",
|
||||
type=int,
|
||||
default=MEMORY_LIMIT_MB,
|
||||
help="Memory limit in MB",
|
||||
)
|
||||
parser.add_argument(
|
||||
"--batch-size",
|
||||
type=int,
|
||||
default=BATCH_SIZE,
|
||||
help="Batch size",
|
||||
)
|
||||
parser.add_argument(
|
||||
"--interval-min",
|
||||
type=float,
|
||||
default=INTERVAL_MIN,
|
||||
help="Minimum interval in seconds",
|
||||
)
|
||||
parser.add_argument(
|
||||
"--interval-max",
|
||||
type=float,
|
||||
default=INTERVAL_MAX,
|
||||
help="Maximum interval in seconds",
|
||||
)
|
||||
parser.add_argument(
|
||||
"--memory-check-interval",
|
||||
type=int,
|
||||
default=MEMORY_CHECK_INTERVAL,
|
||||
help="Memory check interval in seconds",
|
||||
)
|
||||
|
||||
def handle(self, *args, **options):
|
||||
batch_size = options["batch_size"]
|
||||
interval_min = options["interval_min"]
|
||||
interval_max = options["interval_max"]
|
||||
memory_limit_mb = options["memory_limit"]
|
||||
memory_check_interval = options["memory_check_interval"]
|
||||
|
||||
try:
|
||||
self.stdout.write(
|
||||
self.style.SUCCESS(
|
||||
f"Starting outbox poller with connection pooling and signal handling:\n"
|
||||
f" - Batch size: {batch_size}\n"
|
||||
f" - Interval min: {interval_min}s\n"
|
||||
f" - Interval max: {interval_max}s\n"
|
||||
f" - Memory limit: {memory_limit_mb}MB\n"
|
||||
f" - Memory check interval: {memory_check_interval}s\n"
|
||||
f" - Pool size: {POOL_SIZE}\n"
|
||||
f" - Pool min size: {POOL_MIN_SIZE}\n"
|
||||
f" - Pool max size: {POOL_MAX_SIZE}\n"
|
||||
f" - Pool timeout: {POOL_TIMEOUT}s\n"
|
||||
f" - Pool max idle: {POOL_MAX_IDLE}s\n"
|
||||
f" - Pool max lifetime: {POOL_MAX_LIFETIME}s\n"
|
||||
f" - Graceful shutdown timeout: {GRACEFUL_SHUTDOWN_TIMEOUT}s"
|
||||
)
|
||||
)
|
||||
|
||||
# Initialize the poller with the given configuration
|
||||
poller = OutboxPoller(
|
||||
batch_size=batch_size,
|
||||
interval_min=interval_min,
|
||||
interval_max=interval_max,
|
||||
memory_limit_mb=memory_limit_mb,
|
||||
memory_check_interval=memory_check_interval,
|
||||
)
|
||||
|
||||
# Register the handler function to be invoked with each event
|
||||
poller.add_handler(handle_row)
|
||||
|
||||
# Start the poller loop
|
||||
asyncio.run(poller.start())
|
||||
|
||||
except SystemExit as e:
|
||||
if e.code == RESTART_EXIT_CODE:
|
||||
self.stdout.write(self.style.WARNING("Restarting outbox poller..."))
|
||||
os.execv(sys.executable, [sys.executable] + sys.argv)
|
||||
else:
|
||||
self.stdout.write(self.style.SUCCESS("Outbox poller shutdown complete"))
|
||||
sys.exit(e.code)
|
||||
except KeyboardInterrupt:
|
||||
# This should be rare now since we handle SIGINT properly
|
||||
self.stdout.write(
|
||||
self.style.WARNING("Keyboard interrupt received, shutting down...")
|
||||
)
|
||||
sys.exit(0)
|
||||
except Exception as e:
|
||||
self.stdout.write(self.style.ERROR(f"Unexpected error: {e}"))
|
||||
log.exception(f"Unexpected error in outbox poller: {e}")
|
||||
sys.exit(1)
|
||||
217
apps/api/plane/event_stream/migrations/0001_initial.py
Normal file
217
apps/api/plane/event_stream/migrations/0001_initial.py
Normal file
File diff suppressed because one or more lines are too long
0
apps/api/plane/event_stream/migrations/__init__.py
Normal file
0
apps/api/plane/event_stream/migrations/__init__.py
Normal file
4
apps/api/plane/event_stream/models/__init__.py
Normal file
4
apps/api/plane/event_stream/models/__init__.py
Normal file
@@ -0,0 +1,4 @@
|
||||
from .outbox import Outbox
|
||||
from .issue import IssueProxy
|
||||
from .cycle import CycleIssueProxy
|
||||
from .module import ModuleIssueProxy
|
||||
102
apps/api/plane/event_stream/models/cycle.py
Normal file
102
apps/api/plane/event_stream/models/cycle.py
Normal file
@@ -0,0 +1,102 @@
|
||||
import pgtrigger
|
||||
from plane.db.models import CycleIssue
|
||||
|
||||
|
||||
class CycleIssueProxy(CycleIssue):
|
||||
class Meta:
|
||||
proxy = True
|
||||
triggers = [
|
||||
pgtrigger.Trigger(
|
||||
name="cycle_issue_outbox_insert",
|
||||
operation=pgtrigger.Insert,
|
||||
when=pgtrigger.After,
|
||||
func="""
|
||||
BEGIN
|
||||
BEGIN
|
||||
-- try to enqueue event; ignore dupes and handle unexpected errors
|
||||
INSERT INTO outbox (
|
||||
event_id, event_type, entity_type, entity_id, payload, workspace_id, project_id, created_at, initiator_id, initiator_type
|
||||
)
|
||||
VALUES (
|
||||
gen_random_uuid(),
|
||||
'issue.cycle.added',
|
||||
'cycle_issue',
|
||||
NEW.issue_id,
|
||||
jsonb_build_object('data', row_to_json(NEW), 'previous_attributes', '{}'),
|
||||
NEW.workspace_id,
|
||||
NEW.project_id,
|
||||
now(),
|
||||
NEW.created_by_id,
|
||||
COALESCE(current_setting('plane.initiator_type', true), 'USER')
|
||||
)
|
||||
ON CONFLICT DO NOTHING; -- (optional) skip duplicates
|
||||
EXCEPTION
|
||||
WHEN others THEN
|
||||
-- log but DO NOT re-throw, so the main insert survives
|
||||
RAISE WARNING 'Outbox insert failed for cycle_issue %, reason: %',
|
||||
NEW.issue_id, SQLERRM;
|
||||
END;
|
||||
RETURN NEW;
|
||||
END;
|
||||
""",
|
||||
condition=None,
|
||||
),
|
||||
# Handle both soft deletes (deleted_at updated to not null) and regular updates
|
||||
pgtrigger.Trigger(
|
||||
name="cycle_issue_outbox_update",
|
||||
operation=pgtrigger.Update,
|
||||
when=pgtrigger.After,
|
||||
func="""
|
||||
BEGIN
|
||||
BEGIN
|
||||
-- Check if this is a soft delete (deleted_at changed from null to not null)
|
||||
IF OLD.deleted_at IS NULL AND NEW.deleted_at IS NOT NULL THEN
|
||||
-- This is a soft delete
|
||||
INSERT INTO outbox (
|
||||
event_id, event_type, entity_type, entity_id, payload, workspace_id, project_id, created_at, initiator_id, initiator_type
|
||||
)
|
||||
VALUES (
|
||||
gen_random_uuid(),
|
||||
'issue.cycle.removed',
|
||||
'cycle_issue',
|
||||
OLD.issue_id,
|
||||
jsonb_build_object('data', '{}', 'previous_attributes', row_to_json(OLD)),
|
||||
OLD.workspace_id,
|
||||
OLD.project_id,
|
||||
now(),
|
||||
NEW.updated_by_id,
|
||||
COALESCE(current_setting('plane.initiator_type', true), 'USER')
|
||||
)
|
||||
ON CONFLICT DO NOTHING;
|
||||
ELSE
|
||||
-- This is a regular update - only trigger if cycle_id changed
|
||||
IF OLD.cycle_id IS DISTINCT FROM NEW.cycle_id THEN
|
||||
INSERT INTO outbox (
|
||||
event_id, event_type, entity_type, entity_id, payload, workspace_id, project_id, created_at, initiator_id, initiator_type
|
||||
)
|
||||
VALUES (
|
||||
gen_random_uuid(),
|
||||
'issue.cycle.moved',
|
||||
'cycle_issue',
|
||||
NEW.issue_id,
|
||||
jsonb_build_object('data', row_to_json(NEW), 'previous_attributes', row_to_json(OLD)),
|
||||
NEW.workspace_id,
|
||||
NEW.project_id,
|
||||
now(),
|
||||
NEW.updated_by_id,
|
||||
COALESCE(current_setting('plane.initiator_type', true), 'USER')
|
||||
)
|
||||
ON CONFLICT DO NOTHING;
|
||||
END IF;
|
||||
END IF;
|
||||
EXCEPTION
|
||||
WHEN others THEN
|
||||
RAISE WARNING 'Outbox update-event failed for cycle_issue %, reason: %',
|
||||
COALESCE(NEW.issue_id, OLD.issue_id), SQLERRM;
|
||||
END;
|
||||
RETURN NEW;
|
||||
END;
|
||||
""",
|
||||
condition=None,
|
||||
),
|
||||
]
|
||||
1538
apps/api/plane/event_stream/models/issue.py
Normal file
1538
apps/api/plane/event_stream/models/issue.py
Normal file
File diff suppressed because it is too large
Load Diff
92
apps/api/plane/event_stream/models/module.py
Normal file
92
apps/api/plane/event_stream/models/module.py
Normal file
@@ -0,0 +1,92 @@
|
||||
import pgtrigger
|
||||
from plane.db.models import ModuleIssue
|
||||
|
||||
|
||||
class ModuleIssueProxy(ModuleIssue):
|
||||
class Meta:
|
||||
proxy = True
|
||||
triggers = [
|
||||
pgtrigger.Trigger(
|
||||
name="module_issue_outbox_insert",
|
||||
operation=pgtrigger.Insert,
|
||||
when=pgtrigger.After,
|
||||
func="""
|
||||
BEGIN
|
||||
BEGIN
|
||||
INSERT INTO outbox (event_id, event_type, entity_type, entity_id, payload, workspace_id, project_id, created_at, initiator_id, initiator_type)
|
||||
VALUES (
|
||||
gen_random_uuid(),
|
||||
'issue.module.added',
|
||||
'module_issue',
|
||||
NEW.issue_id,
|
||||
jsonb_build_object('data', row_to_json(NEW), 'previous_attributes', '{}'),
|
||||
NEW.workspace_id,
|
||||
NEW.project_id,
|
||||
now(),
|
||||
NEW.created_by_id,
|
||||
COALESCE(current_setting('plane.initiator_type', true), 'USER')
|
||||
)
|
||||
ON CONFLICT DO NOTHING;
|
||||
EXCEPTION
|
||||
WHEN others THEN
|
||||
RAISE WARNING 'Outbox insert failed for module_issue %, reason: %',
|
||||
NEW.issue_id, SQLERRM;
|
||||
END;
|
||||
RETURN NEW;
|
||||
END;
|
||||
""",
|
||||
condition=None,
|
||||
),
|
||||
# Handle both soft deletes (deleted_at updated to not null) and regular updates
|
||||
pgtrigger.Trigger(
|
||||
name="module_issue_outbox_update",
|
||||
operation=pgtrigger.Update,
|
||||
when=pgtrigger.After,
|
||||
func="""
|
||||
BEGIN
|
||||
BEGIN
|
||||
-- Check if this is a soft delete (deleted_at changed from null to not null)
|
||||
IF OLD.deleted_at IS NULL AND NEW.deleted_at IS NOT NULL THEN
|
||||
-- This is a soft delete
|
||||
INSERT INTO outbox (event_id, event_type, entity_type, entity_id, payload, workspace_id, project_id, created_at, initiator_id, initiator_type)
|
||||
VALUES (
|
||||
gen_random_uuid(),
|
||||
'issue.module.removed',
|
||||
'module_issue',
|
||||
OLD.issue_id,
|
||||
jsonb_build_object('data', '{}', 'previous_attributes', row_to_json(OLD)),
|
||||
OLD.workspace_id,
|
||||
OLD.project_id,
|
||||
now(),
|
||||
NEW.updated_by_id,
|
||||
COALESCE(current_setting('plane.initiator_type', true), 'USER')
|
||||
)
|
||||
ON CONFLICT DO NOTHING;
|
||||
ELSE
|
||||
-- This is a regular update
|
||||
INSERT INTO outbox (event_id, event_type, entity_type, entity_id, payload, workspace_id, project_id, created_at, initiator_id, initiator_type)
|
||||
VALUES (
|
||||
gen_random_uuid(),
|
||||
'issue.module.moved',
|
||||
'module_issue',
|
||||
NEW.issue_id,
|
||||
jsonb_build_object('data', row_to_json(NEW), 'previous_attributes', row_to_json(OLD)),
|
||||
NEW.workspace_id,
|
||||
NEW.project_id,
|
||||
now(),
|
||||
NEW.updated_by_id,
|
||||
COALESCE(current_setting('plane.initiator_type', true), 'USER')
|
||||
)
|
||||
ON CONFLICT DO NOTHING;
|
||||
END IF;
|
||||
EXCEPTION
|
||||
WHEN others THEN
|
||||
RAISE WARNING 'Outbox update-event failed for module_issue %, reason: %',
|
||||
COALESCE(NEW.issue_id, OLD.issue_id), SQLERRM;
|
||||
END;
|
||||
RETURN NEW;
|
||||
END;
|
||||
""",
|
||||
condition=None,
|
||||
),
|
||||
]
|
||||
267
apps/api/plane/event_stream/models/outbox.py
Normal file
267
apps/api/plane/event_stream/models/outbox.py
Normal file
@@ -0,0 +1,267 @@
|
||||
# Python
|
||||
from uuid import uuid4, UUID
|
||||
from dataclasses import dataclass, asdict
|
||||
from typing import Union, Dict, Any, Optional
|
||||
from datetime import datetime
|
||||
import json
|
||||
|
||||
# Django
|
||||
from django.db import models
|
||||
from django.utils import timezone
|
||||
|
||||
|
||||
class InitiatorTypes(models.TextChoices):
|
||||
USER = "USER"
|
||||
SYSTEM_IMPORT = "SYSTEM.IMPORT"
|
||||
SYSTEM_AUTOMATION = "SYSTEM.AUTOMATION"
|
||||
|
||||
|
||||
class Outbox(models.Model):
|
||||
# Primary identifier
|
||||
id = models.BigAutoField(primary_key=True)
|
||||
event_id = models.UUIDField(default=uuid4, editable=False, unique=True)
|
||||
|
||||
# What event occurred (e.g. "issue.created", "issue.updated", "issue.deleted")
|
||||
event_type = models.CharField(max_length=255)
|
||||
|
||||
# entity type -- like issue, project, etc.
|
||||
entity_type = models.CharField(max_length=255)
|
||||
# the id of the entity that was affected by the event
|
||||
entity_id = models.UUIDField()
|
||||
|
||||
# The actual payload to send (JSON structure)
|
||||
payload = models.JSONField()
|
||||
|
||||
# The date and time the event was processed (if it was processed)
|
||||
processed_at = models.DateTimeField(null=True, blank=True)
|
||||
|
||||
# Audit fields
|
||||
created_at = models.DateTimeField(default=timezone.now)
|
||||
|
||||
# The date and time the event was claimed (if it was claimed)
|
||||
claimed_at = models.DateTimeField(null=True, blank=True)
|
||||
|
||||
# The workspace ID that the event belongs to
|
||||
workspace_id = models.UUIDField()
|
||||
# The project ID that the event belongs to
|
||||
project_id = models.UUIDField()
|
||||
|
||||
# The user ID that the event belongs to
|
||||
initiator_id = models.UUIDField(help_text="The user ID who triggered the event")
|
||||
|
||||
# The type of initiator that triggered the event
|
||||
initiator_type = models.CharField(max_length=255, default=InitiatorTypes.USER)
|
||||
|
||||
class Meta:
|
||||
db_table = "outbox"
|
||||
indexes = [
|
||||
# live queue → tiny, always‑cached
|
||||
models.Index(
|
||||
fields=["claimed_at", "processed_at", "id"],
|
||||
name="outbox_unclaimed_unprocessed",
|
||||
condition=models.Q(claimed_at__isnull=True, processed_at__isnull=True),
|
||||
),
|
||||
# analytics dashboards
|
||||
models.Index(
|
||||
fields=["processed_at"],
|
||||
name="outbox_processed_idx",
|
||||
condition=models.Q(processed_at__isnull=False),
|
||||
),
|
||||
]
|
||||
ordering = ["-created_at"]
|
||||
|
||||
def __str__(self):
|
||||
return (
|
||||
f"Outbox<{self.event_type}:{self.entity_type}:{self.entity_id}> {self.id}"
|
||||
)
|
||||
|
||||
|
||||
@dataclass
|
||||
class OutboxEvent:
|
||||
"""
|
||||
Represents an event from the outbox table.
|
||||
|
||||
This dataclass provides a type-safe representation of outbox events
|
||||
that can be used consistently across the publisher and poller components.
|
||||
"""
|
||||
|
||||
# Database fields
|
||||
id: int
|
||||
event_id: Union[UUID, str]
|
||||
event_type: str
|
||||
entity_type: str
|
||||
entity_id: Union[UUID, str]
|
||||
payload: Dict[str, Any]
|
||||
created_at: datetime
|
||||
workspace_id: Union[UUID, str]
|
||||
project_id: Union[UUID, str]
|
||||
initiator_id: Union[UUID, str]
|
||||
initiator_type: str
|
||||
|
||||
# Optional fields
|
||||
processed_at: Optional[datetime] = None
|
||||
claimed_at: Optional[datetime] = None
|
||||
|
||||
@classmethod
|
||||
def from_db_row(cls, row: tuple) -> "OutboxEvent":
|
||||
"""
|
||||
Create an OutboxEvent from a database row tuple.
|
||||
|
||||
Expected row format from database query:
|
||||
(id, event_id, event_type, entity_type, entity_id, payload, processed_at, created_at, claimed_at)
|
||||
|
||||
Args:
|
||||
row: Tuple containing database row data
|
||||
|
||||
Returns:
|
||||
OutboxEvent instance
|
||||
"""
|
||||
(
|
||||
id,
|
||||
event_id,
|
||||
event_type,
|
||||
entity_type,
|
||||
entity_id,
|
||||
payload,
|
||||
processed_at,
|
||||
created_at,
|
||||
claimed_at,
|
||||
workspace_id,
|
||||
project_id,
|
||||
initiator_id,
|
||||
initiator_type,
|
||||
) = row
|
||||
|
||||
return cls(
|
||||
id=id,
|
||||
event_id=event_id,
|
||||
event_type=event_type,
|
||||
entity_type=entity_type,
|
||||
entity_id=str(entity_id), # Convert UUID to string for consistency
|
||||
payload=payload,
|
||||
processed_at=processed_at,
|
||||
created_at=created_at,
|
||||
claimed_at=claimed_at,
|
||||
workspace_id=workspace_id,
|
||||
project_id=project_id,
|
||||
initiator_id=initiator_id,
|
||||
initiator_type=initiator_type,
|
||||
)
|
||||
|
||||
@classmethod
|
||||
def from_dict(cls, data: Dict[str, Any]) -> "OutboxEvent":
|
||||
"""
|
||||
Create an OutboxEvent from a dictionary.
|
||||
|
||||
Args:
|
||||
data: Dictionary containing event data
|
||||
|
||||
Returns:
|
||||
OutboxEvent instance
|
||||
"""
|
||||
return cls(
|
||||
id=data["id"],
|
||||
event_id=data["event_id"],
|
||||
event_type=data["event_type"],
|
||||
entity_type=data["entity_type"],
|
||||
entity_id=str(data["entity_id"]),
|
||||
payload=data["payload"],
|
||||
processed_at=data.get("processed_at"),
|
||||
created_at=data["created_at"],
|
||||
claimed_at=data.get("claimed_at"),
|
||||
workspace_id=data["workspace_id"],
|
||||
project_id=data["project_id"],
|
||||
initiator_id=data["initiator_id"],
|
||||
initiator_type=data["initiator_type"],
|
||||
)
|
||||
|
||||
def to_dict(self) -> Dict[str, Any]:
|
||||
"""
|
||||
Convert the OutboxEvent to a dictionary.
|
||||
|
||||
Returns:
|
||||
Dictionary representation of the event
|
||||
"""
|
||||
return asdict(self)
|
||||
|
||||
def to_publisher_format(self) -> Dict[str, Any]:
|
||||
"""
|
||||
Convert to the format expected by the event stream publisher.
|
||||
|
||||
Returns:
|
||||
Dictionary formatted for publishing
|
||||
"""
|
||||
return {
|
||||
"event_id": str(self.event_id),
|
||||
"event_type": self.event_type,
|
||||
"entity_type": self.entity_type,
|
||||
"entity_id": str(self.entity_id),
|
||||
"payload": self.payload,
|
||||
"workspace_id": str(self.workspace_id),
|
||||
"project_id": str(self.project_id),
|
||||
"initiator_id": str(self.initiator_id),
|
||||
"initiator_type": self.initiator_type,
|
||||
}
|
||||
|
||||
def to_json(self) -> str:
|
||||
"""
|
||||
Convert the OutboxEvent to a JSON string.
|
||||
|
||||
Returns:
|
||||
JSON string representation
|
||||
"""
|
||||
|
||||
def json_serializer(obj):
|
||||
"""Custom JSON serializer for datetime and UUID objects."""
|
||||
if isinstance(obj, datetime):
|
||||
return obj.isoformat()
|
||||
elif isinstance(obj, UUID):
|
||||
return str(obj)
|
||||
raise TypeError(
|
||||
f"Object of type {type(obj).__name__} is not JSON serializable"
|
||||
)
|
||||
|
||||
return json.dumps(self.to_dict(), default=json_serializer)
|
||||
|
||||
def get_metadata(self) -> Dict[str, Any]:
|
||||
"""
|
||||
Get metadata about this event for logging/monitoring.
|
||||
|
||||
Returns:
|
||||
Dictionary containing event metadata
|
||||
"""
|
||||
return {
|
||||
"source": "outbox-poller",
|
||||
"outbox_id": self.id,
|
||||
"event_id": str(self.event_id),
|
||||
"event_type": self.event_type,
|
||||
"entity_type": self.entity_type,
|
||||
"entity_id": str(self.entity_id),
|
||||
"created_at": (
|
||||
self.created_at.isoformat()
|
||||
if isinstance(self.created_at, datetime)
|
||||
else self.created_at
|
||||
),
|
||||
"workspace_id": str(self.workspace_id),
|
||||
"project_id": str(self.project_id),
|
||||
"initiator_id": str(self.initiator_id),
|
||||
"initiator_type": self.initiator_type,
|
||||
}
|
||||
|
||||
def __str__(self) -> str:
|
||||
return f"OutboxEvent<{self.event_type}:{self.entity_type}:{self.entity_id}> {self.id}"
|
||||
|
||||
def __repr__(self) -> str:
|
||||
return (
|
||||
f"OutboxEvent("
|
||||
f"id={self.id}, "
|
||||
f"event_id='{self.event_id}', "
|
||||
f"event_type='{self.event_type}', "
|
||||
f"entity_type='{self.entity_type}', "
|
||||
f"entity_id='{self.entity_id}', "
|
||||
f"workspace_id='{self.workspace_id}', "
|
||||
f"project_id='{self.project_id}', "
|
||||
f"initiator_id='{self.initiator_id}', "
|
||||
f"initiator_type='{self.initiator_type}'"
|
||||
f")"
|
||||
)
|
||||
@@ -5,9 +5,7 @@ import requests
|
||||
from django.conf import settings
|
||||
|
||||
# Third party imports
|
||||
from openfeature.provider import AbstractProvider
|
||||
from openfeature.provider.metadata import Metadata
|
||||
from openfeature.flag_evaluation import FlagResolutionDetails
|
||||
from openfeature.provider import AbstractProvider, FlagResolutionDetails, Metadata
|
||||
|
||||
# Module imports
|
||||
from plane.utils.exception_logger import log_exception
|
||||
|
||||
@@ -53,12 +53,14 @@ INSTALLED_APPS = [
|
||||
"plane.graphql",
|
||||
"plane.payment",
|
||||
"plane.silo",
|
||||
"plane.event_stream",
|
||||
# Third-party things
|
||||
"strawberry.django",
|
||||
"rest_framework",
|
||||
"oauth2_provider",
|
||||
"corsheaders",
|
||||
"django_celery_beat",
|
||||
"pgtrigger",
|
||||
]
|
||||
|
||||
# Middlewares
|
||||
|
||||
@@ -44,7 +44,7 @@ LOGGING = {
|
||||
"style": "{",
|
||||
},
|
||||
"json": {
|
||||
"()": "pythonjsonlogger.jsonlogger.JsonFormatter",
|
||||
"()": "pythonjsonlogger.json.JsonFormatter",
|
||||
"fmt": "%(levelname)s %(asctime)s %(module)s %(name)s %(message)s",
|
||||
},
|
||||
},
|
||||
@@ -73,5 +73,10 @@ LOGGING = {
|
||||
"handlers": ["console"],
|
||||
"propagate": False,
|
||||
},
|
||||
"plane.event_stream": {
|
||||
"level": "INFO",
|
||||
"handlers": ["console"],
|
||||
"propagate": False,
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
118
apps/api/plane/settings/mongo.py
Normal file
118
apps/api/plane/settings/mongo.py
Normal file
@@ -0,0 +1,118 @@
|
||||
# Django imports
|
||||
from django.conf import settings
|
||||
import logging
|
||||
|
||||
# Third party imports
|
||||
from pymongo import MongoClient
|
||||
from pymongo.database import Database
|
||||
from pymongo.collection import Collection
|
||||
from typing import Optional, TypeVar, Type
|
||||
|
||||
|
||||
T = TypeVar("T", bound="MongoConnection")
|
||||
|
||||
# Set up logger
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
class MongoConnection:
|
||||
"""
|
||||
A singleton class that manages MongoDB connections.
|
||||
|
||||
This class ensures only one MongoDB connection is maintained throughout the application.
|
||||
It provides methods to access the MongoDB client, database, and collections.
|
||||
|
||||
Attributes:
|
||||
_instance (Optional[MongoConnection]): The singleton instance of this class
|
||||
_client (Optional[MongoClient]): The MongoDB client instance
|
||||
_db (Optional[Database]): The MongoDB database instance
|
||||
"""
|
||||
|
||||
_instance: Optional["MongoConnection"] = None
|
||||
_client: Optional[MongoClient] = None
|
||||
_db: Optional[Database] = None
|
||||
|
||||
def __new__(cls: Type[T]) -> T:
|
||||
"""
|
||||
Creates a new instance of MongoConnection if one doesn't exist.
|
||||
|
||||
Returns:
|
||||
MongoConnection: The singleton instance
|
||||
"""
|
||||
if cls._instance is None:
|
||||
cls._instance = super(MongoConnection, cls).__new__(cls)
|
||||
try:
|
||||
if not settings.MONGO_DB_URL or not settings.MONGO_DB_DATABASE:
|
||||
logger.warning(
|
||||
"MongoDB connection parameters not configured. MongoDB functionality will be disabled."
|
||||
)
|
||||
return cls._instance
|
||||
|
||||
cls._client = MongoClient(settings.MONGO_DB_URL)
|
||||
cls._db = cls._client[settings.MONGO_DB_DATABASE]
|
||||
|
||||
# Test the connection
|
||||
cls._client.server_info()
|
||||
logger.info("MongoDB connection established successfully")
|
||||
except Exception as e:
|
||||
logger.warning(
|
||||
f"Failed to initialize MongoDB connection: {str(e)}. MongoDB functionality will be disabled."
|
||||
)
|
||||
return cls._instance
|
||||
|
||||
@classmethod
|
||||
def get_client(cls) -> Optional[MongoClient]:
|
||||
"""
|
||||
Returns the MongoDB client instance.
|
||||
|
||||
Returns:
|
||||
Optional[MongoClient]: The MongoDB client instance or None if not configured
|
||||
"""
|
||||
if cls._client is None:
|
||||
cls._instance = cls()
|
||||
return cls._client
|
||||
|
||||
@classmethod
|
||||
def get_db(cls) -> Optional[Database]:
|
||||
"""
|
||||
Returns the MongoDB database instance.
|
||||
|
||||
Returns:
|
||||
Optional[Database]: The MongoDB database instance or None if not configured
|
||||
"""
|
||||
if cls._db is None:
|
||||
cls._instance = cls()
|
||||
return cls._db
|
||||
|
||||
@classmethod
|
||||
def get_collection(cls, collection_name: str) -> Optional[Collection]:
|
||||
"""
|
||||
Returns a MongoDB collection by name.
|
||||
|
||||
Args:
|
||||
collection_name (str): The name of the collection to retrieve
|
||||
|
||||
Returns:
|
||||
Optional[Collection]: The MongoDB collection instance or None if not configured
|
||||
"""
|
||||
try:
|
||||
db = cls.get_db()
|
||||
if db is None:
|
||||
logger.warning(
|
||||
f"Cannot access collection '{collection_name}': MongoDB not configured"
|
||||
)
|
||||
return None
|
||||
return db[collection_name]
|
||||
except Exception as e:
|
||||
logger.warning(f"Failed to access collection '{collection_name}': {str(e)}")
|
||||
return None
|
||||
|
||||
@classmethod
|
||||
def is_configured(cls) -> bool:
|
||||
"""
|
||||
Check if MongoDB is properly configured and connected.
|
||||
|
||||
Returns:
|
||||
bool: True if MongoDB is configured and connected, False otherwise
|
||||
"""
|
||||
return cls._client is not None and cls._db is not None
|
||||
@@ -10,8 +10,6 @@ DEBUG = int(os.environ.get("DEBUG", 0)) == 1
|
||||
# Honor the 'X-Forwarded-Proto' header for request.is_secure()
|
||||
SECURE_PROXY_SSL_HEADER = ("HTTP_X_FORWARDED_PROTO", "https")
|
||||
|
||||
INSTALLED_APPS += ("scout_apm.django",) # noqa
|
||||
|
||||
if os.environ.get("IS_MULTI_CLOUD", "0") == "1":
|
||||
SECURE_SSL_REDIRECT = True
|
||||
else:
|
||||
@@ -92,6 +90,11 @@ LOGGING = {
|
||||
"handlers": ["console"],
|
||||
"propagate": False,
|
||||
},
|
||||
"plane.event_stream": {
|
||||
"level": "INFO",
|
||||
"handlers": ["console"],
|
||||
"propagate": False,
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
@@ -3,6 +3,7 @@ from celery import shared_task
|
||||
|
||||
from plane.db.models import Issue, IssueRelation
|
||||
from plane.ee.models.job import ImportJob
|
||||
from django.db import transaction, connection
|
||||
|
||||
logger = logging.getLogger("plane.worker")
|
||||
|
||||
@@ -70,9 +71,11 @@ def bulk_update_issue_relations_task(job_id: str, user_id: str | None = None):
|
||||
created_by_id=user_id,
|
||||
)
|
||||
)
|
||||
|
||||
# Bulk create relations, ignoring any duplicates
|
||||
IssueRelation.objects.bulk_create(issue_relations, ignore_conflicts=True)
|
||||
with transaction.atomic():
|
||||
with connection.cursor() as cur:
|
||||
cur.execute("SET LOCAL plane.initiator_type = 'SYSTEM.IMPORT'")
|
||||
# Bulk create relations, ignoring any duplicates
|
||||
IssueRelation.objects.bulk_create(issue_relations, ignore_conflicts=True)
|
||||
|
||||
# Handle parent_id relations
|
||||
for ex_issue_id, parent_ex_id in parent_id_relations:
|
||||
@@ -83,7 +86,9 @@ def bulk_update_issue_relations_task(job_id: str, user_id: str | None = None):
|
||||
logger.warning(f"Issue {ex_issue_id} or parent {parent_ex_id} not found")
|
||||
continue
|
||||
|
||||
# Update parent_id
|
||||
Issue.objects.filter(id=issue_id).update(
|
||||
parent_id=parent_id, updated_by_id=user_id
|
||||
)
|
||||
with connection.cursor() as cur:
|
||||
cur.execute("SET LOCAL plane.initiator_type = 'SYSTEM.IMPORT'")
|
||||
# Update parent_id
|
||||
Issue.objects.filter(id=issue_id).update(
|
||||
parent_id=parent_id, updated_by_id=user_id
|
||||
)
|
||||
|
||||
@@ -58,7 +58,7 @@ def workspace(db, create_user):
|
||||
def project(db, workspace, create_user):
|
||||
"""Create and return a project instance for OAuth testing"""
|
||||
from plane.tests.factories import ProjectFactory
|
||||
|
||||
|
||||
return ProjectFactory(
|
||||
workspace=workspace,
|
||||
created_by=create_user,
|
||||
@@ -193,20 +193,20 @@ def plane_server(live_server):
|
||||
def oauth_application(db, create_user, workspace):
|
||||
"""Create and return an OAuth application instance"""
|
||||
from plane.tests.factories import ApplicationFactory, ApplicationOwnerFactory
|
||||
|
||||
|
||||
app = ApplicationFactory(
|
||||
user=create_user,
|
||||
created_by=create_user,
|
||||
updated_by=create_user,
|
||||
)
|
||||
|
||||
|
||||
# Create application owner
|
||||
ApplicationOwnerFactory(
|
||||
user=create_user,
|
||||
application=app,
|
||||
workspace=workspace,
|
||||
)
|
||||
|
||||
|
||||
return app
|
||||
|
||||
|
||||
@@ -215,7 +215,7 @@ def workspace_app_installation(db, workspace, oauth_application, create_user):
|
||||
"""Create and return a workspace app installation instance"""
|
||||
from plane.tests.factories import WorkspaceAppInstallationFactory
|
||||
from plane.authentication.models import WorkspaceAppInstallation
|
||||
|
||||
|
||||
# When this factory creates and saves the WorkspaceAppInstallation,
|
||||
# the model's save() method automatically creates a bot user and adds it
|
||||
# to workspace and project members
|
||||
@@ -226,6 +226,7 @@ def workspace_app_installation(db, workspace, oauth_application, create_user):
|
||||
status=WorkspaceAppInstallation.Status.INSTALLED,
|
||||
)
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def workspace(create_user):
|
||||
"""
|
||||
|
||||
@@ -14,7 +14,6 @@ from unittest.mock import MagicMock
|
||||
|
||||
@pytest.mark.contract
|
||||
class TestIssueDuplicateEndpointContrasts:
|
||||
@pytest.mark.django_db
|
||||
@pytest.fixture
|
||||
def base_setup(self, session_client, create_user):
|
||||
"""Base setup for all tests"""
|
||||
|
||||
226
apps/api/plane/tests/unit/bg_tasks/test_outbox_cleaner.py
Normal file
226
apps/api/plane/tests/unit/bg_tasks/test_outbox_cleaner.py
Normal file
@@ -0,0 +1,226 @@
|
||||
import uuid
|
||||
from datetime import timedelta
|
||||
from unittest.mock import patch, MagicMock
|
||||
import pytest
|
||||
from django.utils import timezone
|
||||
from pymongo.errors import BulkWriteError
|
||||
from pymongo.operations import InsertOne
|
||||
|
||||
from plane.event_stream.models.outbox import Outbox
|
||||
from plane.event_stream.bgtasks.outbox_cleaner import (
|
||||
flush_to_mongo_and_delete,
|
||||
delete_outbox_records,
|
||||
)
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def mock_mongo_collection():
|
||||
"""Create a mock MongoDB collection"""
|
||||
return MagicMock()
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def old_outbox_records(db, workspace, project):
|
||||
"""Create old outbox records that should be processed"""
|
||||
cutoff_time = timezone.now() - timedelta(days=2)
|
||||
records = []
|
||||
|
||||
for i in range(3):
|
||||
record = Outbox.objects.create(
|
||||
event_type=f"issue.old.{i}",
|
||||
entity_type="issue",
|
||||
entity_id=uuid.uuid4(),
|
||||
payload={"issue_id": f"old-{i}"},
|
||||
processed_at=cutoff_time - timedelta(hours=1),
|
||||
workspace_id=workspace.id,
|
||||
project_id=project.id,
|
||||
)
|
||||
|
||||
records.append(record)
|
||||
|
||||
return records
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def recent_outbox_records(db, workspace, project):
|
||||
"""Create recent outbox records that should not be processed"""
|
||||
records = []
|
||||
|
||||
for i in range(2):
|
||||
record = Outbox.objects.create(
|
||||
event_type=f"issue.recent.{i}",
|
||||
entity_type="issue",
|
||||
entity_id=uuid.uuid4(),
|
||||
payload={"issue_id": f"recent-{i}"},
|
||||
processed_at=timezone.now() - timedelta(hours=1),
|
||||
workspace_id=workspace.id,
|
||||
project_id=project.id,
|
||||
)
|
||||
records.append(record)
|
||||
|
||||
return records
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
@pytest.mark.django_db
|
||||
class TestFlushToMongoAndDelete:
|
||||
"""Test the flush_to_mongo_and_delete function"""
|
||||
|
||||
def test_flush_to_mongo_and_delete_success(
|
||||
self, mock_mongo_collection, workspace, project
|
||||
):
|
||||
"""Test successful MongoDB insert and PostgreSQL deletion"""
|
||||
# Arrange
|
||||
buffer = [
|
||||
{
|
||||
"event_id": str(uuid.uuid4()),
|
||||
"event_type": "issue.created",
|
||||
"entity_type": "issue",
|
||||
"entity_id": str(uuid.uuid4()),
|
||||
"payload": {"issue_id": "123"},
|
||||
"processed_at": timezone.now() - timedelta(days=3),
|
||||
"created_at": timezone.now() - timedelta(days=3),
|
||||
"workspace_id": str(uuid.uuid4()),
|
||||
"project_id": str(uuid.uuid4()),
|
||||
}
|
||||
]
|
||||
ids_to_delete = [1]
|
||||
|
||||
# Act
|
||||
flush_to_mongo_and_delete(mock_mongo_collection, buffer, ids_to_delete)
|
||||
|
||||
# Assert
|
||||
expected_operations = [InsertOne(doc) for doc in buffer]
|
||||
mock_mongo_collection.bulk_write.assert_called_once_with(expected_operations)
|
||||
|
||||
def test_flush_to_mongo_and_delete_empty_buffer(self, mock_mongo_collection):
|
||||
"""Test handling of empty buffer"""
|
||||
# Act
|
||||
flush_to_mongo_and_delete(mock_mongo_collection, [], [])
|
||||
|
||||
# Assert
|
||||
mock_mongo_collection.bulk_write.assert_not_called()
|
||||
|
||||
def test_flush_to_mongo_and_delete_mongodb_error(self, mock_mongo_collection):
|
||||
"""Test handling of MongoDB bulk write error"""
|
||||
# Arrange
|
||||
buffer = [{"event_id": str(uuid.uuid4()), "event_type": "issue.created"}]
|
||||
mock_mongo_collection.bulk_write.side_effect = BulkWriteError(
|
||||
results=MagicMock()
|
||||
)
|
||||
|
||||
# Act & Assert - should not raise exception
|
||||
flush_to_mongo_and_delete(mock_mongo_collection, buffer, [1])
|
||||
|
||||
# Verify MongoDB was still called
|
||||
mock_mongo_collection.bulk_write.assert_called_once()
|
||||
|
||||
def test_flush_to_mongo_and_delete_with_real_records(
|
||||
self, db, mock_mongo_collection, workspace, project
|
||||
):
|
||||
"""Test with actual Outbox records in database"""
|
||||
# Arrange
|
||||
outbox = Outbox.objects.create(
|
||||
event_type="issue.created",
|
||||
entity_type="issue",
|
||||
entity_id=uuid.uuid4(),
|
||||
payload={"issue_id": "123"},
|
||||
processed_at=timezone.now() - timedelta(days=3),
|
||||
workspace_id=workspace.id,
|
||||
project_id=project.id,
|
||||
)
|
||||
|
||||
buffer = [
|
||||
{
|
||||
"event_id": str(outbox.event_id),
|
||||
"event_type": outbox.event_type,
|
||||
"entity_type": outbox.entity_type,
|
||||
"entity_id": str(outbox.entity_id),
|
||||
"payload": outbox.payload,
|
||||
"processed_at": outbox.processed_at,
|
||||
"created_at": outbox.created_at,
|
||||
"workspace_id": str(outbox.workspace_id),
|
||||
"project_id": str(outbox.project_id),
|
||||
}
|
||||
]
|
||||
ids_to_delete = [outbox.id]
|
||||
|
||||
# Act
|
||||
flush_to_mongo_and_delete(mock_mongo_collection, buffer, ids_to_delete)
|
||||
|
||||
# Assert
|
||||
mock_mongo_collection.bulk_write.assert_called_once()
|
||||
assert not Outbox.objects.filter(id=outbox.id).exists()
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
@pytest.mark.django_db
|
||||
class TestDeleteOutboxRecords:
|
||||
"""Test the delete_outbox_records Celery task"""
|
||||
|
||||
@patch("plane.event_stream.bgtasks.outbox_cleaner.MongoConnection")
|
||||
def test_delete_outbox_records_mongodb_available(
|
||||
self, mock_mongo_connection, old_outbox_records, recent_outbox_records
|
||||
):
|
||||
"""Test outbox cleanup with MongoDB available"""
|
||||
# Arrange
|
||||
mock_mongo_connection.is_configured.return_value = True
|
||||
mock_collection = MagicMock()
|
||||
mock_mongo_connection.get_collection.return_value = mock_collection
|
||||
|
||||
# Act
|
||||
delete_outbox_records()
|
||||
|
||||
# Assert
|
||||
# Check that old records were processed (deleted from PostgreSQL)
|
||||
for record in old_outbox_records:
|
||||
assert not Outbox.objects.filter(id=record.id).exists()
|
||||
|
||||
# Check that recent records were not processed
|
||||
for record in recent_outbox_records:
|
||||
assert Outbox.objects.filter(id=record.id).exists()
|
||||
|
||||
# Check MongoDB was called
|
||||
mock_mongo_connection.is_configured.assert_called_once()
|
||||
mock_mongo_connection.get_collection.assert_called_once_with("outbox")
|
||||
|
||||
@patch("plane.event_stream.bgtasks.outbox_cleaner.MongoConnection")
|
||||
def test_delete_outbox_records_mongodb_unavailable(
|
||||
self, mock_mongo_connection, old_outbox_records, recent_outbox_records
|
||||
):
|
||||
"""Test outbox cleanup when MongoDB is not available"""
|
||||
# Arrange
|
||||
mock_mongo_connection.is_configured.return_value = False
|
||||
|
||||
# Act
|
||||
delete_outbox_records()
|
||||
|
||||
# Assert
|
||||
# Check that old records were still deleted from PostgreSQL
|
||||
for record in old_outbox_records:
|
||||
assert not Outbox.objects.filter(id=record.id).exists()
|
||||
|
||||
# Check that recent records were not processed
|
||||
for record in recent_outbox_records:
|
||||
assert Outbox.objects.filter(id=record.id).exists()
|
||||
|
||||
# Check MongoDB was checked but not used
|
||||
mock_mongo_connection.is_configured.assert_called_once()
|
||||
mock_mongo_connection.get_collection.assert_not_called()
|
||||
|
||||
@patch("plane.event_stream.bgtasks.outbox_cleaner.MongoConnection")
|
||||
def test_delete_outbox_records_no_records_to_process(self, mock_mongo_connection):
|
||||
"""Test outbox cleanup when no records need processing"""
|
||||
# Arrange
|
||||
Outbox.objects.all().delete()
|
||||
mock_mongo_connection.is_configured.return_value = True
|
||||
mock_collection = MagicMock()
|
||||
mock_mongo_connection.get_collection.return_value = mock_collection
|
||||
|
||||
# Act
|
||||
delete_outbox_records()
|
||||
|
||||
# Assert
|
||||
mock_mongo_connection.is_configured.assert_called_once()
|
||||
mock_mongo_connection.get_collection.assert_called_once()
|
||||
mock_collection.bulk_write.assert_not_called()
|
||||
0
apps/api/plane/tests/unit/commands/__init__.py
Normal file
0
apps/api/plane/tests/unit/commands/__init__.py
Normal file
536
apps/api/plane/tests/unit/commands/test_outbox_poller.py
Normal file
536
apps/api/plane/tests/unit/commands/test_outbox_poller.py
Normal file
@@ -0,0 +1,536 @@
|
||||
import asyncio
|
||||
from unittest.mock import AsyncMock, MagicMock, patch
|
||||
from uuid import uuid4, UUID
|
||||
import pytest
|
||||
from django.utils import timezone
|
||||
from datetime import datetime, timedelta
|
||||
|
||||
from plane.event_stream.models.outbox import Outbox
|
||||
from plane.event_stream.management.commands.outbox_poller import (
|
||||
OutboxPoller,
|
||||
DatabaseConnectionPool,
|
||||
MemoryMonitor,
|
||||
)
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def outbox_poller():
|
||||
"""Create an OutboxPoller instance with test configuration"""
|
||||
return OutboxPoller(
|
||||
batch_size=10,
|
||||
interval_min=0.1,
|
||||
interval_max=1.0,
|
||||
memory_limit_mb=100,
|
||||
memory_check_interval=5,
|
||||
)
|
||||
|
||||
|
||||
def create_outbox_records(
|
||||
count: int = 3,
|
||||
workspace_id: UUID = None,
|
||||
project_id: UUID = None,
|
||||
processed_at: datetime = None,
|
||||
):
|
||||
"""Create outbox records for testing"""
|
||||
records = []
|
||||
for i in range(count):
|
||||
record = Outbox.objects.create(
|
||||
event_type=f"issue.updated.{i}",
|
||||
entity_type="issue",
|
||||
entity_id=uuid4(),
|
||||
payload={
|
||||
"issue_id": f"issue-{i}",
|
||||
"status": "completed" if processed_at else "pending",
|
||||
},
|
||||
processed_at=processed_at,
|
||||
workspace_id=workspace_id,
|
||||
project_id=project_id,
|
||||
)
|
||||
records.append(record)
|
||||
return records
|
||||
|
||||
|
||||
def delete_outbox_records(processed: bool = False) -> None:
|
||||
"""Delete all outbox records"""
|
||||
Outbox.objects.filter(processed_at__isnull=processed).delete()
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def mock_handler():
|
||||
"""Create a mock handler function for testing"""
|
||||
mock = MagicMock()
|
||||
# Set a name for the mock to avoid AttributeError
|
||||
mock.__name__ = "mock_handler"
|
||||
return mock
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
class TestOutboxPoller:
|
||||
"""Test the OutboxPoller class"""
|
||||
|
||||
def test_outbox_poller_initialization(self, outbox_poller):
|
||||
"""Test OutboxPoller is initialized with correct parameters"""
|
||||
assert outbox_poller.batch_size == 10
|
||||
assert outbox_poller.interval_min == 0.1
|
||||
assert outbox_poller.interval_max == 1.0
|
||||
assert outbox_poller.memory_limit_mb == 100
|
||||
assert outbox_poller.memory_check_interval == 5
|
||||
assert outbox_poller.handlers == []
|
||||
|
||||
def test_add_handler(self, outbox_poller, mock_handler):
|
||||
"""Test adding handlers to the poller"""
|
||||
outbox_poller.add_handler(mock_handler)
|
||||
assert len(outbox_poller.handlers) == 1
|
||||
assert outbox_poller.handlers[0] == mock_handler
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_process_event_success(
|
||||
self, outbox_poller, mock_handler, workspace, project
|
||||
):
|
||||
"""Test successful event processing"""
|
||||
outbox_poller.add_handler(mock_handler)
|
||||
|
||||
# Create a mock row tuple
|
||||
row = (
|
||||
1, # id
|
||||
uuid4(), # event_id
|
||||
"issue.created", # event_type
|
||||
"issue", # entity_type
|
||||
uuid4(), # entity_id
|
||||
{"issue_id": "123", "title": "Test Issue"}, # payload
|
||||
None, # processed_at
|
||||
timezone.now(), # created_at
|
||||
None, # claimed_at
|
||||
workspace.id, # workspace_id
|
||||
project.id,
|
||||
)
|
||||
|
||||
result = await outbox_poller._process_event(row)
|
||||
|
||||
assert result is True
|
||||
mock_handler.assert_called_once()
|
||||
|
||||
# Verify the event data passed to handler
|
||||
call_args = mock_handler.call_args[0][0]
|
||||
assert call_args.id == 1
|
||||
assert call_args.event_type == "issue.created"
|
||||
assert call_args.entity_type == "issue"
|
||||
assert call_args.payload == {"issue_id": "123", "title": "Test Issue"}
|
||||
assert call_args.workspace_id == workspace.id
|
||||
assert call_args.project_id == project.id
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_process_event_handler_error(
|
||||
self, outbox_poller, mock_handler, workspace, project
|
||||
):
|
||||
"""Test event processing when handler raises an exception"""
|
||||
# Make the handler raise an exception
|
||||
mock_handler.side_effect = Exception("Handler error")
|
||||
outbox_poller.add_handler(mock_handler)
|
||||
|
||||
row = (
|
||||
1,
|
||||
uuid4(),
|
||||
"issue.created",
|
||||
"issue",
|
||||
uuid4(),
|
||||
{"issue_id": "123"},
|
||||
None,
|
||||
timezone.now(),
|
||||
None,
|
||||
workspace.id,
|
||||
project.id,
|
||||
)
|
||||
|
||||
result = await outbox_poller._process_event(row)
|
||||
|
||||
assert result is False
|
||||
mock_handler.assert_called_once()
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_process_event_lambda_handler_error(
|
||||
self, outbox_poller, workspace, project
|
||||
):
|
||||
"""Test event processing when lambda handler raises an exception"""
|
||||
# Lambda function that raises an exception
|
||||
lambda_handler = lambda x: (_ for _ in ()).throw(Exception("Lambda error"))
|
||||
outbox_poller.add_handler(lambda_handler)
|
||||
|
||||
row = (
|
||||
1,
|
||||
uuid4(),
|
||||
"issue.created",
|
||||
"issue",
|
||||
uuid4(),
|
||||
{"issue_id": "123"},
|
||||
None,
|
||||
timezone.now(),
|
||||
None,
|
||||
workspace.id,
|
||||
project.id,
|
||||
)
|
||||
|
||||
result = await outbox_poller._process_event(row)
|
||||
|
||||
assert result is False
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_process_event_async_handler(self, outbox_poller, workspace, project):
|
||||
"""Test processing event with async handler"""
|
||||
|
||||
async def async_handler(event_data):
|
||||
await asyncio.sleep(0.01) # Simulate async work
|
||||
return True
|
||||
|
||||
outbox_poller.add_handler(async_handler)
|
||||
|
||||
row = (
|
||||
1,
|
||||
uuid4(),
|
||||
"issue.created",
|
||||
"issue",
|
||||
uuid4(),
|
||||
{"issue_id": "123"},
|
||||
None,
|
||||
timezone.now(),
|
||||
None,
|
||||
workspace.id,
|
||||
project.id,
|
||||
)
|
||||
|
||||
result = await outbox_poller._process_event(row)
|
||||
assert result is True
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_process_event_multiple_handlers(
|
||||
self, outbox_poller, workspace, project
|
||||
):
|
||||
"""Test processing event with multiple handlers"""
|
||||
handler1 = MagicMock()
|
||||
handler1.__name__ = "handler1"
|
||||
handler2 = MagicMock()
|
||||
handler2.__name__ = "handler2"
|
||||
|
||||
outbox_poller.add_handler(handler1)
|
||||
outbox_poller.add_handler(handler2)
|
||||
|
||||
row = (
|
||||
1,
|
||||
uuid4(),
|
||||
"issue.created",
|
||||
"issue",
|
||||
uuid4(),
|
||||
{"issue_id": "123"},
|
||||
None,
|
||||
timezone.now(),
|
||||
None,
|
||||
workspace.id,
|
||||
project.id,
|
||||
)
|
||||
|
||||
result = await outbox_poller._process_event(row)
|
||||
|
||||
assert result is True
|
||||
handler1.assert_called_once()
|
||||
handler2.assert_called_once()
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_process_event_mixed_handler_types(
|
||||
self, outbox_poller, mock_handler, workspace, project
|
||||
):
|
||||
"""Test processing event with mixed handler types (normal, lambda, mock)"""
|
||||
|
||||
def normal_handler(event_data):
|
||||
return "normal"
|
||||
|
||||
outbox_poller.add_handler(normal_handler)
|
||||
outbox_poller.add_handler(mock_handler)
|
||||
|
||||
row = (
|
||||
1,
|
||||
uuid4(),
|
||||
"issue.created",
|
||||
"issue",
|
||||
uuid4(),
|
||||
{"issue_id": "123"},
|
||||
None,
|
||||
timezone.now(),
|
||||
None,
|
||||
workspace.id,
|
||||
project.id,
|
||||
)
|
||||
|
||||
result = await outbox_poller._process_event(row)
|
||||
assert result is True
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
@pytest.mark.django_db
|
||||
class TestDatabaseConnectionPool:
|
||||
"""Test the DatabaseConnectionPool class"""
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_fetch_and_lock_rows_with_real_connection(self, workspace, project):
|
||||
"""Test fetch_and_lock_rows with real database connection using fixtures"""
|
||||
delete_outbox_records(processed=False)
|
||||
|
||||
# Create unprocessed outbox records
|
||||
create_outbox_records(
|
||||
processed_at=None, count=3, workspace_id=workspace.id, project_id=project.id
|
||||
)
|
||||
|
||||
async with DatabaseConnectionPool() as db_pool:
|
||||
# Fetch unprocessed records using the real connection
|
||||
rows = await db_pool.fetch_and_lock_rows(10)
|
||||
|
||||
# Should fetch exactly 3 unprocessed records from our fixture
|
||||
assert len(rows) == 3
|
||||
|
||||
# Verify the structure of returned rows
|
||||
for i, row in enumerate(rows):
|
||||
assert (
|
||||
len(row) == 11
|
||||
) # id, event_id, event_type, entity_type, entity_id, payload, processed_at, created_at, claimed_at, workspace_id, project_id
|
||||
assert row[0] is not None # id
|
||||
assert row[1] is not None # event_id
|
||||
assert row[2] == f"issue.updated.{i}" # event_type
|
||||
assert row[3] == "issue" # entity_type
|
||||
assert row[4] is not None # entity_id
|
||||
assert row[5] == {
|
||||
"issue_id": f"issue-{i}",
|
||||
"status": "pending",
|
||||
} # payload
|
||||
assert (
|
||||
row[6] is None
|
||||
) # processed_at should be None for unprocessed records
|
||||
assert row[7] is not None # created_at
|
||||
assert row[9] == workspace.id # workspace_id
|
||||
assert row[10] == project.id # project_id
|
||||
# Delete the records
|
||||
delete_outbox_records(processed=False)
|
||||
|
||||
# Delete the records
|
||||
delete_outbox_records(processed=False)
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_mark_processed_with_real_connection(self, workspace, project):
|
||||
"""Test mark_processed with real database connection using fixtures"""
|
||||
delete_outbox_records(processed=False)
|
||||
|
||||
# Create unprocessed outbox records
|
||||
create_outbox_records(
|
||||
processed_at=None, count=3, workspace_id=workspace.id, project_id=project.id
|
||||
)
|
||||
|
||||
# Get the IDs of unprocessed records
|
||||
record_ids = [record.id for record in Outbox.objects.all()]
|
||||
|
||||
async with DatabaseConnectionPool() as db_pool:
|
||||
# Mark records as processed using the real connection
|
||||
result = await db_pool.mark_processed(record_ids)
|
||||
|
||||
# Should successfully mark all records as processed
|
||||
assert result is True
|
||||
|
||||
# Verify records are now marked as processed in the database
|
||||
for record_id in record_ids:
|
||||
record = Outbox.objects.get(id=record_id)
|
||||
assert record.processed_at is not None
|
||||
|
||||
# Delete the records
|
||||
delete_outbox_records(processed=False)
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_fetch_and_lock_rows_batch_size_limit(self, workspace, project):
|
||||
"""Test that fetch_and_lock_rows respects batch size limits"""
|
||||
delete_outbox_records(processed=False)
|
||||
|
||||
# Create unprocessed outbox records
|
||||
create_outbox_records(
|
||||
processed_at=None, count=3, workspace_id=workspace.id, project_id=project.id
|
||||
)
|
||||
|
||||
async with DatabaseConnectionPool() as db_pool:
|
||||
# Request only 2 records when we have 3 unprocessed records
|
||||
rows = await db_pool.fetch_and_lock_rows(2)
|
||||
|
||||
# Should respect batch size limit
|
||||
assert len(rows) == 2
|
||||
|
||||
# The first 2 records should be returned (ordered by id)
|
||||
assert rows[0][2] == "issue.updated.0" # event_type
|
||||
assert rows[1][2] == "issue.updated.1" # event_type
|
||||
|
||||
# Delete the records
|
||||
delete_outbox_records(processed=False)
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_fetch_and_lock_rows_empty_when_all_processed(
|
||||
self, workspace, project
|
||||
):
|
||||
"""Test that fetch_and_lock_rows returns empty when all records are processed"""
|
||||
delete_outbox_records(processed=True)
|
||||
|
||||
# Create processed outbox records
|
||||
create_outbox_records(
|
||||
processed_at=timezone.now(),
|
||||
count=2,
|
||||
workspace_id=workspace.id,
|
||||
project_id=project.id,
|
||||
)
|
||||
|
||||
async with DatabaseConnectionPool() as db_pool:
|
||||
# All records in processed_outbox_records fixture are already processed
|
||||
rows = await db_pool.fetch_and_lock_rows(10)
|
||||
|
||||
# Should return empty list since all records are processed
|
||||
assert len(rows) == 0
|
||||
|
||||
# Delete the records
|
||||
delete_outbox_records(processed=True)
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_mark_processed_empty_list(self):
|
||||
"""Test mark_processed with empty list of IDs"""
|
||||
async with DatabaseConnectionPool() as db_pool:
|
||||
result = await db_pool.mark_processed([])
|
||||
|
||||
# Should return False for empty list
|
||||
assert result is False
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_mark_processed_nonexistent_ids(self):
|
||||
"""Test mark_processed with nonexistent record IDs"""
|
||||
async with DatabaseConnectionPool() as db_pool:
|
||||
# Use IDs that don't exist in the database
|
||||
nonexistent_ids = [99999, 99998]
|
||||
result = await db_pool.mark_processed(nonexistent_ids)
|
||||
|
||||
# Should return False when no rows are updated
|
||||
assert result is False
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_health_check(self):
|
||||
"""Test health_check method returns health status"""
|
||||
async with DatabaseConnectionPool() as db_pool:
|
||||
health_status = await db_pool.health_check()
|
||||
|
||||
# Should return a dictionary with health information
|
||||
assert isinstance(health_status, dict)
|
||||
assert "healthy" in health_status
|
||||
assert "timestamp" in health_status
|
||||
|
||||
# Should be healthy for a working connection
|
||||
assert health_status["healthy"] is True
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_get_pool_stats(self):
|
||||
"""Test get_pool_stats method returns pool statistics"""
|
||||
async with DatabaseConnectionPool() as db_pool:
|
||||
pool_stats = await db_pool.get_pool_stats()
|
||||
|
||||
# Should return a dictionary with pool statistics
|
||||
assert isinstance(pool_stats, dict)
|
||||
|
||||
# Should contain configuration information
|
||||
assert "min_size" in pool_stats
|
||||
assert "max_size" in pool_stats
|
||||
assert "timeout" in pool_stats
|
||||
|
||||
# Should contain runtime statistics
|
||||
assert "pool_size" in pool_stats or "error" in pool_stats
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_health_check_with_no_pool(self):
|
||||
"""Test health_check when pool is not initialized"""
|
||||
db_pool = DatabaseConnectionPool()
|
||||
# Don't initialize the pool
|
||||
health_status = await db_pool.health_check()
|
||||
|
||||
assert health_status["healthy"] is False
|
||||
assert "Pool not initialized" in health_status["error"]
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_get_pool_stats_with_no_pool(self):
|
||||
"""Test get_pool_stats when pool is not initialized"""
|
||||
db_pool = DatabaseConnectionPool()
|
||||
# Don't initialize the pool
|
||||
pool_stats = await db_pool.get_pool_stats()
|
||||
|
||||
assert "error" in pool_stats
|
||||
assert "Pool not initialized" in pool_stats["error"]
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
class TestMemoryMonitor:
|
||||
"""Test the MemoryMonitor class"""
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_memory_monitor_initialization(self):
|
||||
"""Test MemoryMonitor is initialized correctly"""
|
||||
monitor = MemoryMonitor(memory_limit_mb=100, check_interval=5)
|
||||
assert monitor.memory_limit_mb == 100
|
||||
assert monitor.check_interval == 5
|
||||
assert monitor._running is False
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_memory_monitor_stop(self):
|
||||
"""Test stopping the memory monitor"""
|
||||
monitor = MemoryMonitor(memory_limit_mb=100, check_interval=5)
|
||||
monitor._running = True
|
||||
|
||||
await monitor.stop()
|
||||
assert monitor._running is False
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
class TestOutboxModelIntegration:
|
||||
"""Test integration with Outbox model"""
|
||||
|
||||
def test_outbox_model_creation(self, db, workspace, project):
|
||||
"""Test creating outbox records"""
|
||||
record = Outbox.objects.create(
|
||||
event_type="issue.created",
|
||||
entity_type="issue",
|
||||
entity_id=uuid4(),
|
||||
payload={"issue_id": "123", "title": "Test Issue"},
|
||||
workspace_id=workspace.id,
|
||||
project_id=project.id,
|
||||
)
|
||||
|
||||
assert record.id is not None
|
||||
assert record.event_id is not None
|
||||
assert record.event_type == "issue.created"
|
||||
assert record.entity_type == "issue"
|
||||
assert record.processed_at is None
|
||||
assert record.created_at is not None
|
||||
|
||||
def test_outbox_model_processed_records(self, db, workspace, project):
|
||||
"""Test creating processed outbox records"""
|
||||
record = Outbox.objects.create(
|
||||
event_type="issue.updated",
|
||||
entity_type="issue",
|
||||
entity_id=uuid4(),
|
||||
payload={"issue_id": "123", "status": "completed"},
|
||||
processed_at=timezone.now(),
|
||||
workspace_id=workspace.id,
|
||||
project_id=project.id,
|
||||
)
|
||||
|
||||
assert record.processed_at is not None
|
||||
assert record.event_type == "issue.updated"
|
||||
|
||||
def test_outbox_model_string_representation(self, db, workspace, project):
|
||||
"""Test the string representation of Outbox model"""
|
||||
entity_id = uuid4()
|
||||
record = Outbox.objects.create(
|
||||
event_type="issue.created",
|
||||
entity_type="issue",
|
||||
entity_id=entity_id,
|
||||
payload={"issue_id": "123"},
|
||||
workspace_id=workspace.id,
|
||||
project_id=project.id,
|
||||
)
|
||||
|
||||
expected_str = f"Outbox<issue.created:issue:{entity_id}> {record.id}"
|
||||
assert str(record) == expected_str
|
||||
@@ -35,18 +35,11 @@ def contains_url(value: str) -> bool:
|
||||
bool: True if the string contains a URL, False otherwise
|
||||
"""
|
||||
# Prevent ReDoS by limiting input length
|
||||
if len(value) > 1000: # Reasonable limit for URL detection
|
||||
if len(value) > 1000:
|
||||
return False
|
||||
|
||||
# Additional safety: truncate very long lines that might contain URLs
|
||||
lines = value.split("\n")
|
||||
for line in lines:
|
||||
if len(line) > 500: # Process only reasonable length lines
|
||||
line = line[:500]
|
||||
if URL_PATTERN.search(line):
|
||||
return True
|
||||
|
||||
return False
|
||||
# Check for URLs in the entire string
|
||||
return bool(URL_PATTERN.search(value))
|
||||
|
||||
|
||||
def is_valid_url(url: str) -> bool:
|
||||
|
||||
@@ -9,9 +9,14 @@ markers =
|
||||
contract: Contract tests for API endpoints
|
||||
smoke: Smoke tests for critical functionality
|
||||
slow: Tests that are slow and might be skipped in some contexts
|
||||
asyncio: Tests that use asyncio
|
||||
|
||||
addopts =
|
||||
--strict-markers
|
||||
--reuse-db
|
||||
--nomigrations
|
||||
-vs
|
||||
-vs
|
||||
|
||||
|
||||
# Async test configuration
|
||||
asyncio_mode = auto
|
||||
@@ -9,6 +9,7 @@ psycopg==3.1.18
|
||||
psycopg-binary==3.2.3
|
||||
psycopg-c==3.1.18
|
||||
dj-database-url==2.1.0
|
||||
psycopg-pool==3.2.6
|
||||
# mongo
|
||||
pymongo==4.6.3
|
||||
# redis
|
||||
@@ -40,8 +41,6 @@ channels==4.1.0
|
||||
openai==1.63.2
|
||||
# slack
|
||||
slack-sdk==3.27.1
|
||||
# apm
|
||||
scout-apm==3.1.0
|
||||
# xlsx generation
|
||||
openpyxl==3.1.2
|
||||
# logging
|
||||
@@ -94,3 +93,12 @@ drf-spectacular==0.28.0
|
||||
# OpenSearch Integration
|
||||
opensearch-py==2.8.0
|
||||
django-opensearch-dsl==0.7.0
|
||||
|
||||
# pika for rabbitmq
|
||||
pika==1.3.2
|
||||
|
||||
# psutil for monitoring
|
||||
psutil==7.0.0
|
||||
|
||||
# pgtriggers
|
||||
django-pgtrigger==4.15.3
|
||||
|
||||
@@ -9,4 +9,5 @@ factory-boy==3.3.0
|
||||
freezegun==1.2.2
|
||||
coverage==7.2.7
|
||||
httpx==0.24.1
|
||||
requests==2.32.4
|
||||
requests==2.32.4
|
||||
pytest-asyncio==1.0.0
|
||||
Reference in New Issue
Block a user