完善附件管理与生成任务跟踪

backend/services/generation_runtime.py

@@ -12,6 +12,7 @@ from models.generation_log import GenerationLog
 from models.paragraph import Paragraph
 from models.template import Template
 from services.ai_service import call_ai
+from services.file_summary import summarize_minio_files
 
 generation_progress: dict[int, dict] = {}
 generation_cancel_flags: dict[int, bool] = {}
@@ -90,6 +91,13 @@ async def run_generation(document_id: int, template_id: int):
         )
         paragraphs = result.scalars().all()
         total = len(paragraphs)
+        request_payload = {}
+        if document.request_payload_json:
+            try:
+                request_payload = json.loads(document.request_payload_json)
+            except Exception:
+                request_payload = {}
+        file_map = request_payload.get("file_map", {}) if isinstance(request_payload, dict) else {}
         update_progress(document_id, status="generating", total=total, done=0, percent=0, message="开始生成...")
 
         done_count = 0
@@ -114,11 +122,25 @@ async def run_generation(document_id: int, template_id: int):
                     model = await get_effective_model(paragraph)
                     model_id = model.id if model is not None else paragraph.model_id
                     try:
+                        selected_file_paths = file_map.get(str(paragraph.id), [])
+                        file_summaries = []
+                        if selected_file_paths:
+                            file_name_mapping = {}
+                            for paragraph_item in request_payload.get("paragraphs", []):
+                                for selected_file in paragraph_item.get("selected_files", []):
+                                    file_path = selected_file.get("file_path")
+                                    if file_path in selected_file_paths:
+                                        file_name_mapping[file_path] = selected_file.get("file_name")
+                            file_summaries = await asyncio.to_thread(
+                                summarize_minio_files,
+                                selected_file_paths,
+                                file_name_mapping,
+                            )
                         if model is None:
                             content = build_mock_content(paragraph)
                         else:
                             setattr(paragraph, "enable_reasoning", bool(model.enable_reasoning))
-                            result_data = await call_ai(paragraph, model)
+                            result_data = await call_ai(paragraph, model, file_summaries)
                             content = result_data.content
                         status = "success"
                         error_message = ""