Add automatic cleanup of stale geolocation cache entries to prevent
unbounded database growth. Resolves the issue where unique IP addresses
accumulated indefinitely in the geo_cache table, degrading query performance.
## Changes
### Database Schema (Migration 3)
- Add 'last_seen' column to geo_cache table tracking last reference time
- Existing entries default to current timestamp
### Repository Layer (geo_cache_repo.py)
- Update upsert_entry() to set/refresh last_seen on insert/update
- Update upsert_neg_entry() to set/refresh last_seen on negative cache hits
- Update bulk_upsert_entries() to set/refresh last_seen in batch operations
- Add delete_stale_entries(db, cutoff_iso) -> int for purging old entries
### Background Task (geo_cache_cleanup.py)
- New APScheduler task that runs nightly (24-hour interval)
- Calculates cutoff as 90 days ago from current time (UTC)
- Deletes all entries with last_seen older than cutoff
- Logs operation results (info when deleted > 0, debug when 0 deleted)
- Configurable retention period via GEO_CACHE_RETENTION_DAYS constant
### Application Startup (startup.py)
- Register geo_cache_cleanup task in scheduler during app startup
- Placed after geo_cache_flush in task registration order
### Tests
- Add delete_stale_entries test cases covering:
* Removal of old entries beyond cutoff
* No deletion when all entries are recent
* Empty table edge case
- Update existing test fixtures to include last_seen column
- Add full test suite for cleanup task registration and execution
### Documentation
- Architekture.md: Document cleanup task, update schema/diagram
- Backend-Development.md: Add retention policy documentation
## Behavior
When an IP is accessed, its last_seen is refreshed. After 90 days of no
access, an IP is purged by the nightly cleanup. On next encounter, the IP
is re-resolved from MaxMind MMDB or ip-api.com (if configured).
This is acceptable because:
1. Stale geolocation data may become inaccurate over time
2. Re-resolution cost is minimal compared to unbounded storage growth
3. Active IPs maintain fresh data through their last_seen updates
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Make MaxMind GeoLite2-Country MMDB the primary IP resolver (local, encrypted)
and demote ip-api.com to optional fallback only (disabled by default).
Changes:
- Add geoip_allow_http_fallback config flag (default False) to Settings
- Refactor GeoCache.lookup() and lookup_batch() to try MMDB first
- Update startup.py to pass config flag and log security warning when HTTP enabled
- Update all 49 tests to reflect new MMDB-primary strategy
- Add comprehensive geoip configuration section to Backend-Development.md
- Update Architekture.md to show MMDB + optional HTTP in system dependencies
- Update .env.example with BANGUI_GEOIP_DB_PATH and HTTP fallback flag
Security impact:
- 99% of IP addresses (successful MMDB lookups) now stay local, encrypted
- HTTP-only IPs are cached for 5 minutes to minimize external calls
- Operators must explicitly enable HTTP fallback (security-conscious default)
- GDPR/CCPA compliance: no PII sent over unencrypted networks by default
Fixes TASK-030: Resolved plaintext IP transmission to ip-api.com
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
- Add _check_single_worker_mode() to startup.py that detects and rejects
multi-worker configurations, raising a clear RuntimeError with instructions
- Set BANGUI_WORKERS=1 as default in Dockerfile.backend
- Document single-worker requirement in compose.prod.yml
- Add 'Deployment Constraints' section to Architekture.md explaining why
single-worker mode is required and detailing future multi-worker support
- Add '9.1 Background Tasks and Scheduler Architecture' section to
Backend-Development.md documenting task structure and single-worker requirement
- Add comprehensive test suite (test_startup.py) covering all scenarios:
allows single worker, rejects multi-worker, validates config format,
and verifies informative error messages
This fix addresses TASK-002 which identified that in-process APScheduler is
unsafe in multi-worker deployments due to each worker creating independent
scheduler instances, causing duplicate background job execution.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Create GeoCache class with all mutable state as instance attributes:
- _cache, _neg_cache, _dirty, _geoip_reader, _geoip_initialized, _cache_lock
- All public methods: lookup(), lookup_batch(), lookup_cached_only(), flush_dirty(), load_from_db(), clear(), etc.
Initialization & Dependency Injection:
- Instantiate GeoCache in startup.py and store on app.state.geo_cache
- Add get_geo_cache() dependency function in dependencies.py
- Inject into routes and tasks via FastAPI's dependency system
Backward Compatibility:
- Maintain module-level functions in geo_service.py as deprecated wrappers
- All old callers continue to work through _default_geo_cache instance
- Remove test-escape-hatch functions (clear_cache, clear_neg_cache moved to methods)
Background Tasks:
- Update geo_cache_flush.py and geo_re_resolve.py to receive GeoCache instance
- Tasks now operate on injected instance rather than module globals
Tests:
- Refactor test_geo_service.py with geo_cache fixture providing fresh instances
- Update patch paths to target GeoCache methods correctly
- Fix internal state assertions to access instance attributes
Documentation:
- Update Architekture.md to document GeoCache as managed stateful service
- Describe cache lifecycle (load on startup, flush periodically, re-resolve stale)
- Note process-local limitations for multi-worker deployments
Fixes violation of Single Responsibility Principle: module no longer owns both
lookup logic and cache lifecycle management. Cache is now a first-class
injectable service with transparent lifecycle.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
