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Description
Overview
Implement the Stats resource for v0.2.0 using the actual working IFPA API endpoints. The Stats resource was removed from v0.1.0 because all 10 originally implemented endpoints returned HTTP 404.
Background
During v0.1.0 development, we discovered that all Stats endpoints implemented in the SDK don't exist in the live IFPA API. Integration testing revealed 10 different working Stats endpoints that should be implemented instead.
Real API Endpoints to Implement
The following 10 Stats endpoints exist in the live IFPA API (all tested and working):
GET /stats/overall- Global statistics overviewGET /stats/country_players- Player counts by countryGET /stats/state_players- Player counts by state/provinceGET /stats/state_tournaments- Tournament counts by state/provinceGET /stats/events_by_year- Tournament counts by yearGET /stats/players_by_year- Player registration counts by yearGET /stats/largest_tournaments- Largest tournaments by player countGET /stats/lucrative_tournaments- Tournaments with highest WPPR pointsGET /stats/points_given_period- WPPR points awarded in time periodGET /stats/events_attended_period- Event attendance in time period
Implementation Checklist
- Create Pydantic models for each endpoint in
src/ifpa_sdk/models/stats.py - Implement
StatsClientinsrc/ifpa_sdk/resources/stats.py - Add
statsproperty to mainIfpaClient - Write unit tests in
tests/unit/test_stats.py - Use existing integration tests in
tests/integration/test_stats_integration.py(update for new endpoints) - Add Stats documentation in
docs/usage/stats.md - Update
README.mdto reflect 46 total endpoints - Update
CLAUDE.mdto reflect Stats implementation
Reference Documentation
Detailed implementation guidance available in project memory:
llm_memory/stats_validation_report.md- Comprehensive 970+ line validation reportllm_memory/stats_endpoint_comparison.md- Quick reference with sample responsesllm_memory/remediation_summary.md- Context on why Stats was removed from v0.1.0
Sample API Responses
Sample responses from real API are documented in llm_memory/stats_endpoint_comparison.md for reference during implementation.
Success Criteria
- All 10 Stats endpoints implemented and working
- 100% unit test coverage
- Integration tests pass against live API
- Type checking passes (mypy strict mode)
- Documentation complete with examples
- Follows existing SDK patterns (consistent with other resources)
Timeline
Estimated effort: 12-14 hours
Target: v0.2.0 release
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