feat: Phase 1 잔여 기능 구현 완료

- 품질시험 API: schemas/quality.py + api/quality.py (CRUD, 합격률 요약, 자동 합불 판정) - PDF 생성: WeasyPrint + Jinja2 (작업일보/검측요청서/보고서 템플릿 + /pdf 다운로드 엔드포인트) - RAG 시드 스크립트: scripts/seed_rag.py (PDF/TXT 청킹, 배치 임베딩, CLI) - APScheduler: 날씨 3시간 주기 자동 수집 + 경보 평가 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-24 21:39:05 +09:00
parent 2a4950d8a0
commit 0156d8ca4f
13 changed files with 990 additions and 3 deletions
@@ -0,0 +1,57 @@
+import uuid
+from datetime import date
+from pydantic import BaseModel, model_validator
+from app.models.quality import QualityResult
+
+
+class QualityTestCreate(BaseModel):
+    wbs_item_id: uuid.UUID | None = None
+    test_type: str  # compression_strength, slump, compaction, etc.
+    test_date: date
+    location_detail: str | None = None
+    design_value: float | None = None
+    measured_value: float
+    unit: str
+    result: QualityResult | None = None  # auto-calculated if design_value provided
+    lab_name: str | None = None
+    report_number: str | None = None
+    notes: str | None = None
+
+    @model_validator(mode="after")
+    def auto_result(self) -> "QualityTestCreate":
+        if self.result is None:
+            if self.design_value is not None:
+                self.result = QualityResult.PASS if self.measured_value >= self.design_value else QualityResult.FAIL
+            else:
+                self.result = QualityResult.PASS
+        return self
+
+
+class QualityTestUpdate(BaseModel):
+    test_date: date | None = None
+    location_detail: str | None = None
+    design_value: float | None = None
+    measured_value: float | None = None
+    unit: str | None = None
+    result: QualityResult | None = None
+    lab_name: str | None = None
+    report_number: str | None = None
+    notes: str | None = None
+
+
+class QualityTestResponse(BaseModel):
+    id: uuid.UUID
+    project_id: uuid.UUID
+    wbs_item_id: uuid.UUID | None
+    test_type: str
+    test_date: date
+    location_detail: str | None
+    design_value: float | None
+    measured_value: float
+    unit: str
+    result: QualityResult
+    lab_name: str | None
+    report_number: str | None
+    notes: str | None
+
+    model_config = {"from_attributes": True}