[CI] (362fa9c) fastapi/fastapi3-ai-saas

[wizard-ci-bot]

Automated wizard CI run

Source: manual
Trigger ID: 362fa9c
App: fastapi/fastapi3-ai-saas
App directory: apps/fastapi/fastapi3-ai-saas
Workbench branch: wizard-ci-362fa9c-fastapi-fastapi3-ai-saas
Wizard branch: main
Context Mill branch: main
PostHog (MCP) branch: master
Timestamp: 2026-02-11T17:25:52.973Z
Duration: 439.3s

[wizard-ci-bot]

Now I have all the context I need to provide a comprehensive evaluation. Let me compile the PR evaluation report.

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PR Evaluation Report

Summary

This PR integrates PostHog analytics into a FastAPI-based AI SaaS application (Acme AI). The integration includes SDK initialization via lifespan context manager, a custom ASGI middleware for automatic user context management, and event tracking across authentication, content generation, API key management, and settings flows.

Files changed	Lines added	Lines removed
10	+271	-1

Confidence score: 4/5 👍

• Inconsistent PostHog API usage: The auth.py file mixes legacy-style posthog.identify() / posthog.capture() calls with context-based capture() calls. The middleware sets up new_context() and identify_context(), but auth routes bypass this by using explicit distinct_id parameters. This works but creates inconsistency. [MEDIUM]
• Email in failed login event is PII: The login failed event captures the attempted email address, which could be considered PII. Consider removing or hashing this property. [MEDIUM]
• No reverse proxy configured: Missing ad-blocker bypass configuration for event delivery reliability. [MEDIUM]
• No error/exception tracking: No posthog.capture_exception() calls or exception handler integration. [MEDIUM]

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File changes

Filename	Score	Description
.env.example	5/5	Properly documents PostHog environment variables with placeholder API key
app/config.py	5/5	Adds PostHog settings using Pydantic BaseSettings with appropriate defaults
app/main.py	5/5	Correct lifespan-based initialization and shutdown flush, adds middleware
app/middleware.py	4/5	Well-designed ASGI middleware using context-based API. Properly handles user extraction from session. Minor concern: creates new DB session per request for user lookup without connection pooling
app/routers/api_keys.py	5/5	Clean event tracking for API key creation and revocation with relevant properties
app/routers/auth.py	3/5	Mixes legacy posthog.identify()/capture() with context-based capture(). Email logged in failed login is PII
app/routers/generate.py	4/5	Good event tracking for content generation success and failure. Unused posthog import
app/routers/settings.py	4/5	Comprehensive settings and password change tracking with appropriate failure reasons
posthog-setup-report.md	4/5	Helpful documentation but references .env file creation that isn't in the committed changes
requirements.txt	5/5	Correctly adds posthog>=3.0.0 dependency

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App sanity check: 4/5 ✅

Criteria	Result	Description
App builds and runs	Yes	All imports are valid, dependencies properly specified
Preserves existing env vars & configs	Yes	Original .env.example entries preserved, PostHog vars added at end
No syntax or type errors	Yes	Code is syntactically correct
Correct imports/exports	Yes	All imports resolve correctly - posthog, capture, identify_context, new_context, tag
Minimal, focused changes	Yes	Changes are focused on PostHog integration without modifying core business logic

Issues

• Unused import in generate.py: import posthog is imported but not used (only capture from posthog is used). [LOW]
• DB session handling in middleware: The middleware creates a new SessionLocal() for each request to look up the user. This works but could benefit from the existing get_db dependency pattern for consistency. [LOW]

Other completed criteria

• Environment variables properly documented in .env.example
• Configuration follows existing Pydantic Settings pattern
• Middleware uses pure ASGI interface for better performance
• Proper shutdown handling with posthog.flush()
• Disabled flag allows easy toggling of PostHog

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PostHog implementation: 3/5 ⚠️

Criteria	Result	Description
PostHog SDKs installed	Yes	posthog>=3.0.0 in requirements.txt
PostHog client initialized	Yes	Initialized in lifespan context manager with api_key, host, and debug settings
capture()	Yes	Events captured across all major user flows using context-based capture()
identify()	Partial	identify_context() used in middleware, but auth.py uses legacy posthog.identify() pattern inconsistently
Error tracking	No	No exception capture or error tracking integration
Reverse proxy	No	No reverse proxy configuration for ad-blocker bypass

Issues

• Inconsistent identify patterns: The middleware correctly uses identify_context(str(user.id)) within new_context(), but auth.py uses posthog.identify(str(user.id), {...}) which is the legacy pattern. While both work, this creates inconsistency. The login/signup routes should either rely on the middleware context (for subsequent requests) or use the context-based approach consistently. [MEDIUM]
• No error/exception tracking: The application has 404 and 500 exception handlers but no PostHog exception capture. Consider adding posthog.capture_exception() for error tracking. [MEDIUM]
• No reverse proxy: Events are sent directly to us.i.posthog.com which can be blocked by ad blockers. A reverse proxy would improve event delivery reliability. [MEDIUM]
• PII in failed login: The login failed event captures email property which is PII. Consider removing or hashing. [MEDIUM]

Other completed criteria

• API key loaded from environment variable (not hardcoded)
• Proper API host configuration (us.i.posthog.com)
• Debug mode tied to app debug setting
• Proper shutdown flush to ensure events are sent
• Disable flag for easy toggling
• User properties tagged (email, credits) via middleware
• Context-based API used correctly in middleware

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PostHog insights and events: 4/5 ✅

Filename	PostHog events	Description
auth.py	user signed up, user logged in, user logged out, login failed	Core authentication funnel tracking with signup_method, login_method, initial_credits
generate.py	content generated, content generation failed	AI generation funnel with generation_type, credits_used, credits_remaining, failure reason
api_keys.py	api key created, api key revoked	API key lifecycle tracking with active_keys_count
settings.py	settings updated, password changed, password change failed	Account management with field_changed, failure reasons
middleware.py	(context setup)	Automatically identifies users and tags email/credits for all subsequent events

Issues

• No pageview/screen view tracking: This is a server-side integration, but no page_view events are captured. Consider adding pageview tracking for template-rendered pages. [LOW]
• Missing signup failure event: When signup fails (email already exists), no event is captured. [LOW]

Other completed criteria

• Events represent real user actions (signup, login, content generation)
• Events capture product flows (authentication funnel, content generation funnel)
• Events identify friction points (insufficient credits, failed password change)
• Events enriched with relevant properties (generation_type, credits_used, active_keys_count)
• Events can answer product questions: conversion rates, feature usage, drop-off points
• Failure events include reason properties for debugging

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Reviewed by wizard workbench PR evaluator