Akiba So
f58f2f612c
Context: Cases API lacked demographic breakdowns and per-diagnosis monthly seasonality data for epidemiological analysis. Approach: - Two new GET endpoints with typed Pydantic response models - Demographics uses get_inpatient_data() (outpatient lacks gender/age) - Disease-seasonality uses get_combined_data() grouped by diagnosis+month - pandas groupby/value_counts for vectorized aggregation Changes: - Models: AgeBin, GenderSplit, GenderSplitData, AgeDiagnosisMatrixItem, DemographicsResponse - Models: DiseaseSeasonalityPoint, DiseaseSeasonalityResponse - GET /api/cases/demographics: age distribution (0-17), gender split, age-diagnosis matrix (5 age groups) - GET /api/cases/disease-seasonality: top 10 diagnoses by month (120 entries with 1月-12月 labels) Impact: Enables frontend demographic charts and disease seasonality heatmaps. All 42 existing API tests continue passing.
