feat: unify scoring and chat evidence pages

backend/wisegrade/scoring.py

@@ -6,6 +6,7 @@ from sqlalchemy import select, update
 
 from .config import get_settings
 from .db import SessionLocal
+from .knowledge_pages import page_image_path
 from .llm import ConsistencyResult, FactResult, ModelError, ScoreResult, validate_score
 from .models import (CriterionScore, KnowledgeDocument, Project, ScoreEvidence, ScoringBatch,
                      SubmissionFile, now)
@@ -126,8 +127,13 @@ def _score_criterion(db, batch, project, criterion, client, *, retriever):
         return score
     if client is None:
         raise ModelError("未配置或无法连接评分模型")
-    page_paths = {page["page_number"]: page.get("rendered_image_path") for page in ready[0].parsed["pages"]}
-    images = [page_paths[page] for page in dict.fromkeys(chunk["page"] for chunk in chunks[:2]) if page_paths.get(page)]
+    image_sources = dict.fromkeys((chunk["document_id"], chunk["page"]) for chunk in chunks[:2])
+    images = []
+    for document_id, page in image_sources:
+        doc = db.get(KnowledgeDocument, document_id)
+        path = page_image_path(db, doc, page) if doc else None
+        if path:
+            images.append(str(path))
     public_context = retriever(db, course_version_id=batch.course_version_id, project_id=project.id,
                                category=None, query=query, limit=6, public_only=True)
     payload = {"criterion": criterion, "project_facts": project.facts, "course_context": public_context,
@@ -153,8 +159,9 @@ def _score_criterion(db, batch, project, criterion, client, *, retriever):
     for evidence in result.evidence:
         chunk = by_id[evidence.chunk_id]
         doc = db.get(KnowledgeDocument, chunk["document_id"])
+        path = page_image_path(db, doc, evidence.page)
         db.add(ScoreEvidence(score_id=score.id, document_id=doc.id, submission_file_id=doc.submission_file_id,
-                             page=evidence.page, quote=evidence.quote, image_path=page_paths.get(evidence.page)))
+                             page=evidence.page, quote=evidence.quote, image_path=str(path) if path else None))
     db.commit()
     return score