Phase 4 구현 완료: Neo4j 벡터 검색 + 그래프 저장소

ontology_platform/ont_platform/api/routes/__init__.py

@@ -0,0 +1,5 @@
+"""API routes."""
+
+from .extraction import router as extraction_router
+
+__all__ = ["extraction_router"]

ontology_platform/ont_platform/api/routes/extraction.py

@@ -0,0 +1,71 @@
+"""
+Phase 0 Extraction routes: Fast JSON Extraction MVP.
+
+No database storage - just extract and return JSON candidates.
+Goal: 10-30 seconds per URL.
+"""
+
+from fastapi import APIRouter, HTTPException
+import time
+
+from ont_platform.core.extractors.web_extractor import extract_web_content
+from ont_platform.core.extraction.lightweight_extractor import LightweightExtractor
+
+router = APIRouter(prefix="/api/v1", tags=["extraction"])
+
+
+@router.post("/extract/url")
+async def extract_url(url: str):
+    """
+    Extract candidates from URL (Phase 0 MVP).
+
+    Returns:
+    {
+        "url": "...",
+        "title": "...",
+        "entities": [...],
+        "relations": [...],
+        "extraction_time_sec": 0.5,
+        "warnings": [...]
+    }
+    """
+    if not url:
+        raise HTTPException(status_code=400, detail="url is required")
+
+    start_time = time.time()
+
+    try:
+        # Step 1: Extract web content with Trafilatura
+        extracted = extract_web_content(url=url)
+
+        # Step 2: Extract JSON candidates with lightweight extractor
+        lightweight = LightweightExtractor(use_llm=False)
+        candidates = lightweight.extract(
+            text=extracted.text,
+            project_id="default",  # Phase 0: no projects yet
+            document_id="temp",
+        )
+
+        extraction_time = time.time() - start_time
+
+        # Return just the JSON (entities/relations are already dicts)
+        return {
+            "url": url,
+            "title": extracted.title,
+            "author": extracted.author,
+            "published_date": extracted.publish_date,
+            "language": extracted.language,
+            "text_length": len(extracted.text),
+            "entities": candidates.entities,
+            "relations": candidates.relations,
+            "extraction_time_sec": round(extraction_time, 2),
+            "entity_count": len(candidates.entities),
+            "relation_count": len(candidates.relations),
+            "warnings": candidates.warnings,
+        }
+
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=f"Extraction failed: {str(e)}")
+
+
+__all__ = ["router"]