[CI] (362fa9c) flask/flask3-social-media

[wizard-ci-bot]

Automated wizard CI run

Source: manual
Trigger ID: 362fa9c
App: flask/flask3-social-media
App directory: apps/flask/flask3-social-media
Workbench branch: wizard-ci-362fa9c-flask-flask3-social-media
Wizard branch: main
Context Mill branch: main
PostHog (MCP) branch: master
Timestamp: 2026-02-11T17:25:28.852Z
Duration: 415.9s

[wizard-ci-bot]

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PR Evaluation Report

Summary

This PR integrates PostHog analytics into a Flask 3 social media application. The integration adds the posthog Python SDK, initializes it at app startup, and captures 14 distinct user events across authentication, content creation, social interactions, and API operations. Error tracking is implemented for 500 errors via capture_exception().

Files changed	Lines added	Lines removed
10	+194	-1

Confidence score: 4/5 👍

• No reverse proxy configured: Events sent directly to PostHog may be blocked by adblockers. Consider adding a reverse proxy route (e.g., /ingest) in the Flask app. [MEDIUM]
• Missing posthog.shutdown(): The SDK is initialized but never explicitly shut down on app teardown, which may cause events to be lost on abrupt termination. [LOW]
• Unused import in auth/routes.py: import posthog at line 6 is imported but never used directly (only the function imports are used). Minor code cleanliness issue. [LOW]

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File changes

Filename	Score	Description
apps/flask/flask3-social-media/.gitignore	5/5	Adds .env to gitignore - appropriate for protecting secrets
apps/flask/flask3-social-media/app/__init__.py	4/5	Initializes PostHog SDK in app factory with env var configuration. Clean integration, no shutdown handling.
apps/flask/flask3-social-media/app/api/tokens.py	5/5	Adds API token creation event tracking with proper context-based API usage
apps/flask/flask3-social-media/app/api/users.py	5/5	Adds API user creation tracking with user identification and properties
apps/flask/flask3-social-media/app/auth/routes.py	4/5	Comprehensive auth event tracking (login, logout, signup, password reset). Has unused import posthog.
apps/flask/flask3-social-media/app/errors/handlers.py	5/5	Proper error tracking with capture_exception() and conditional user identification
apps/flask/flask3-social-media/app/main/routes.py	5/5	Extensive event tracking for social features with meaningful properties
apps/flask/flask3-social-media/config.py	5/5	Proper env var configuration for PostHog API key and host
apps/flask/flask3-social-media/posthog-setup-report.md	5/5	Comprehensive documentation of integration
apps/flask/flask3-social-media/requirements.txt	5/5	Adds posthog dependency correctly

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App sanity check: 4/5 ✅

Criteria	Result	Description
App builds and runs	Yes	No syntax errors, imports are correct, SDK initialization is conditional on API key
Preserves existing env vars & configs	Yes	All existing config preserved, PostHog config added non-destructively
No syntax or type errors	Yes	Clean Python syntax throughout
Correct imports/exports	Yes	All PostHog imports use the correct context-based v7+ API
Minimal, focused changes	Yes	Changes are limited to PostHog integration only

Issues

• Unused import: import posthog in auth/routes.py line 6 is redundant since only function imports are used (capture, identify_context, new_context, tag). [LOW]

Other completed criteria

• Environment variables documented in config.py and setup report
• .env properly added to .gitignore
• Build configuration unchanged and valid
• Clear, readable code with consistent comment style
• Proper error handling patterns preserved

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PostHog implementation: 4/5 ✅

Criteria	Result	Description
PostHog SDKs installed	Yes	posthog added to requirements.txt
PostHog client initialized	Yes	Initialized in create_app() factory with posthog.api_key and posthog.host from env vars
capture()	Yes	14 events captured across auth, main routes, and API endpoints
identify()	Yes	identify_context() called in every event capture block with user email
Error tracking	Yes	posthog.capture_exception(error) in 500 error handler with user identification
Reverse proxy	No	No reverse proxy configured - events sent directly to us.i.posthog.com

Issues

• No reverse proxy: Events sent directly to PostHog can be blocked by adblockers. For complete event capture, configure a reverse proxy (e.g., add a Flask route at /ingest that proxies to PostHog). [MEDIUM]
• No explicit shutdown: Consider adding posthog.shutdown() in an @app.teardown_appcontext handler to ensure events flush on app shutdown. [LOW]

Other completed criteria

• API key loaded from environment variable (not hardcoded)
• Correct API host configuration (https://us.i.posthog.com)
• Debug mode tied to Flask's debug setting
• Proper use of Python SDK v7+ context-based API (new_context(), identify_context(), capture(), tag())
• No PII leakage in event properties (usernames and emails used appropriately for identification)

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PostHog insights and events: 5/5 ✅

Filename	PostHog events	Description
app/auth/routes.py	user_signed_up, user_logged_in, user_logged_out, password_reset_requested, password_reset_completed	Full auth funnel tracking with login_method and signup_method properties
app/main/routes.py	post_created, profile_updated, user_followed, user_unfollowed, search_performed, message_sent, post_export_started	Comprehensive social feature tracking with contextual properties (post_length, language, search_query, results_count, recipient/followed usernames)
app/api/users.py	api_user_created	API signup tracking with signup_method property
app/api/tokens.py	api_token_created	API authentication token tracking
app/errors/handlers.py	capturedException	500 error tracking with user context when authenticated

Issues

None. The event coverage is comprehensive and properties are meaningful for building insights.

Other completed criteria

• Events represent real user actions and product flows
• Event names follow clear naming conventions (verb_noun pattern)
• Properties enable funnel analysis (signup → login → post_created)
• Search events include results_count for zero-results analysis
• Social graph events (follow/unfollow) enable network growth analysis
• Content creation events include metadata (length, language)
• Error tracking enables reliability monitoring

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Reviewed by wizard workbench PR evaluator