增加代码知识库；修复文档处理内容；增加API设置

rag-web-ui/backend/app/api/api_v1/api.py

@@ -1,5 +1,5 @@
 from fastapi import APIRouter
-from app.api.api_v1 import api_keys, auth, chat, knowledge_base, testing, tools
+from app.api.api_v1 import api_keys, auth, chat, consistency, knowledge_base, model_configs, testing, tools
 
 api_router = APIRouter()
 
@@ -7,5 +7,7 @@ api_router.include_router(auth.router, prefix="/auth", tags=["auth"])
 api_router.include_router(knowledge_base.router, prefix="/knowledge-base", tags=["knowledge-base"])
 api_router.include_router(chat.router, prefix="/chat", tags=["chat"])
 api_router.include_router(api_keys.router, prefix="/api-keys", tags=["api-keys"]) 
+api_router.include_router(model_configs.router, prefix="/model-configs", tags=["model-configs"])
 api_router.include_router(testing.router, prefix="/testing", tags=["testing"])
-api_router.include_router(tools.router, prefix="/tools", tags=["tools"])
+api_router.include_router(tools.router, prefix="/tools", tags=["tools"])
+api_router.include_router(consistency.router, prefix="/consistency", tags=["consistency"])

rag-web-ui/backend/app/api/api_v1/api_keys.py

@@ -39,7 +39,7 @@ def create_api_key(
     api_key = APIKeyService.create_api_key(
         db=db, user_id=current_user.id, name=api_key_in.name
     )
-    logger.info(f"API key created: {api_key.key} for user {current_user.id}")
+    logger.info("API key created: id=%s for user %s", api_key.id, current_user.id)
     return api_key
 
 @router.put("/{id}", response_model=schemas.APIKey)
@@ -60,7 +60,7 @@ def update_api_key(
         raise HTTPException(status_code=403, detail="Not enough permissions")
     
     api_key = APIKeyService.update_api_key(db=db, api_key=api_key, update_data=api_key_in)
-    logger.info(f"API key updated: {api_key.key} for user {current_user.id}")
+    logger.info("API key updated: id=%s for user %s", api_key.id, current_user.id)
     return api_key
 
 @router.delete("/{id}", response_model=schemas.APIKey)
@@ -80,5 +80,5 @@ def delete_api_key(
         raise HTTPException(status_code=403, detail="Not enough permissions")
     
     APIKeyService.delete_api_key(db=db, api_key=api_key)
-    logger.info(f"API key deleted: {api_key.key} for user {current_user.id}")
+    logger.info("API key deleted: id=%s for user %s", api_key.id, current_user.id)
     return api_key

rag-web-ui/backend/app/api/api_v1/chat.py

@@ -120,7 +120,8 @@ async def create_message(
             messages=messages,
             knowledge_base_ids=knowledge_base_ids,
             chat_id=chat_id,
-            db=db
+            db=db,
+            user_id=current_user.id,
         ):
             yield chunk
 
@@ -152,4 +153,4 @@ def delete_chat(
     
     db.delete(chat)
     db.commit()
-    return {"status": "success"}
+    return {"status": "success"}

rag-web-ui/backend/app/api/api_v1/consistency.py

@@ -0,0 +1,338 @@
+from __future__ import annotations
+
+from datetime import datetime
+from pathlib import Path
+from typing import Any, List
+
+from fastapi import APIRouter, BackgroundTasks, Depends, File, Form, HTTPException, Query, UploadFile
+from fastapi.responses import Response
+from sqlalchemy.orm import Session
+
+from app.core.security import get_current_user
+from app.db.session import get_db
+from app.models.tooling import ConsistencyResult
+from app.models.user import User
+from app.schemas.consistency import (
+    AutoConsistencyJobCreateResponse,
+    AutoConsistencyJobStatusResponse,
+    CodeKnowledgeBaseCreate,
+    CodeKnowledgeBaseResponse,
+    CodeKnowledgeBaseUploadResponse,
+    CodeQuestionRequest,
+    CodeQuestionResponse,
+    ConsistencyJobCreate,
+    ConsistencyJobCreateResponse,
+    ConsistencyJobResponse,
+    ConsistencyResultResponse,
+)
+from app.services.consistency.exporter import export_excel, export_json, export_markdown
+from app.services.consistency_job_service import (
+    AUTO_UPLOAD_ROOT,
+    CODE_UPLOAD_ROOT,
+    ask_code_kb,
+    create_code_kb,
+    create_auto_consistency_tool_job,
+    create_consistency_job,
+    create_uploaded_code_kb,
+    get_owned_auto_job,
+    get_owned_code_kb,
+    get_owned_consistency_job,
+    list_code_kbs,
+    list_consistency_jobs,
+    result_model_to_export_dict,
+    run_auto_consistency_job,
+    run_code_kb_build,
+    run_consistency_job,
+    safe_upload_name,
+    save_uploaded_bytes,
+)
+from app.services.model_config import ModelConfigService
+
+router = APIRouter()
+
+
+def datetime_path() -> str:
+    return datetime.utcnow().strftime("%Y%m%d%H%M%S%f")
+
+
+async def _save_code_uploads(files: List[UploadFile], target_dir: Path) -> str:
+    if not files:
+        raise HTTPException(status_code=400, detail="No code files uploaded.")
+    source_dir = target_dir
+    extracted_dirs: List[Path] = []
+    for file in files:
+        content = await file.read()
+        if not content:
+            continue
+        saved = save_uploaded_bytes(target_dir, safe_upload_name(file.filename), content)
+        if saved.is_dir():
+            extracted_dirs.append(saved)
+    if len(files) == 1 and extracted_dirs:
+        source_dir = extracted_dirs[0]
+    return str(source_dir.resolve())
+
+
+async def _save_requirement_upload(file: UploadFile, target_dir: Path) -> str:
+    safe_name = safe_upload_name(file.filename)
+    if Path(safe_name).suffix.lower() not in {".pdf", ".docx"}:
+        raise HTTPException(status_code=400, detail="Requirement file must be .pdf or .docx.")
+    content = await file.read()
+    if not content:
+        raise HTTPException(status_code=400, detail="Requirement file is empty.")
+    saved = save_uploaded_bytes(target_dir, safe_name, content)
+    return str(saved.resolve())
+
+
+@router.post("/code-kbs", response_model=CodeKnowledgeBaseResponse)
+async def register_code_kb(
+    payload: CodeKnowledgeBaseCreate,
+    db: Session = Depends(get_db),
+    current_user: User = Depends(get_current_user),
+) -> Any:
+    try:
+        return create_code_kb(db, current_user.id, payload)
+    except (FileNotFoundError, RuntimeError, ValueError) as exc:
+        raise HTTPException(status_code=400, detail=str(exc)) from exc
+
+
+@router.post("/code-kbs/upload", response_model=CodeKnowledgeBaseUploadResponse)
+async def upload_and_build_code_kb(
+    background_tasks: BackgroundTasks,
+    name: str = Form(...),
+    use_semantic: bool = Form(True),
+    files: List[UploadFile] = File(...),
+    db: Session = Depends(get_db),
+    current_user: User = Depends(get_current_user),
+) -> Any:
+    if use_semantic:
+        try:
+            ModelConfigService.require_active_config(db, current_user.id)
+        except ValueError as exc:
+            raise HTTPException(status_code=400, detail=str(exc)) from exc
+    target_dir = CODE_UPLOAD_ROOT / str(current_user.id) / datetime_path()
+    code_source_dir = await _save_code_uploads(files, target_dir)
+    output_dir = str((target_dir / "artifacts").resolve())
+    code_kb = create_uploaded_code_kb(
+        db=db,
+        user_id=current_user.id,
+        name=name,
+        project_path=code_source_dir,
+        output_dir=output_dir,
+    )
+    background_tasks.add_task(run_code_kb_build, code_kb.id, use_semantic)
+    return {"id": code_kb.id, "status": code_kb.status}
+
+
+@router.get("/code-kbs", response_model=List[CodeKnowledgeBaseResponse])
+async def get_code_kbs(
+    db: Session = Depends(get_db),
+    current_user: User = Depends(get_current_user),
+) -> Any:
+    return list_code_kbs(db, current_user.id)
+
+
+@router.get("/code-kbs/{code_kb_id}", response_model=CodeKnowledgeBaseResponse)
+async def get_code_kb(
+    code_kb_id: int,
+    db: Session = Depends(get_db),
+    current_user: User = Depends(get_current_user),
+) -> Any:
+    code_kb = get_owned_code_kb(db, current_user.id, code_kb_id)
+    if not code_kb:
+        raise HTTPException(status_code=404, detail="Code knowledge base not found.")
+    return code_kb
+
+
+@router.delete("/code-kbs/{code_kb_id}")
+async def delete_code_kb(
+    code_kb_id: int,
+    db: Session = Depends(get_db),
+    current_user: User = Depends(get_current_user),
+) -> Any:
+    code_kb = get_owned_code_kb(db, current_user.id, code_kb_id)
+    if not code_kb:
+        raise HTTPException(status_code=404, detail="Code knowledge base not found.")
+    db.delete(code_kb)
+    db.commit()
+    return {"message": "deleted"}
+
+
+@router.post("/code-kbs/{code_kb_id}/ask", response_model=CodeQuestionResponse)
+async def ask_code_kb_api(
+    code_kb_id: int,
+    payload: CodeQuestionRequest,
+    db: Session = Depends(get_db),
+    current_user: User = Depends(get_current_user),
+) -> Any:
+    code_kb = get_owned_code_kb(db, current_user.id, code_kb_id)
+    if not code_kb:
+        raise HTTPException(status_code=404, detail="Code knowledge base not found.")
+    try:
+        model_profile = ModelConfigService.require_active_config(db, current_user.id)
+        ModelConfigService.touch_last_used(db, model_profile)
+        return ask_code_kb(
+            code_kb=code_kb,
+            question=payload.question,
+            top_k=payload.top_k,
+            min_similarity=payload.min_similarity,
+            use_llm=payload.use_llm,
+            model_profile=model_profile,
+        )
+    except (RuntimeError, ValueError) as exc:
+        raise HTTPException(status_code=400, detail=str(exc)) from exc
+
+
+@router.post("/jobs", response_model=ConsistencyJobCreateResponse)
+async def create_job(
+    background_tasks: BackgroundTasks,
+    payload: ConsistencyJobCreate,
+    db: Session = Depends(get_db),
+    current_user: User = Depends(get_current_user),
+) -> Any:
+    try:
+        ModelConfigService.require_active_config(db, current_user.id)
+        job = create_consistency_job(db, current_user.id, payload)
+    except ValueError as exc:
+        raise HTTPException(status_code=400, detail=str(exc)) from exc
+    background_tasks.add_task(run_consistency_job, job.id)
+    return {"job_id": job.id, "status": job.status}
+
+
+@router.post("/auto-jobs", response_model=AutoConsistencyJobCreateResponse)
+async def create_auto_job(
+    background_tasks: BackgroundTasks,
+    requirement_file: UploadFile = File(...),
+    code_files: List[UploadFile] = File(...),
+    code_kb_name: str = Form("uploaded-code-kb"),
+    top_k: int = Form(8),
+    max_call_hops: int = Form(2),
+    min_similarity: float = Form(0.55),
+    use_llm: bool = Form(True),
+    use_semantic: bool = Form(True),
+    db: Session = Depends(get_db),
+    current_user: User = Depends(get_current_user),
+) -> Any:
+    try:
+        ModelConfigService.require_active_config(db, current_user.id)
+    except ValueError as exc:
+        raise HTTPException(status_code=400, detail=str(exc)) from exc
+    timestamp = datetime_path()
+    target_dir = AUTO_UPLOAD_ROOT / str(current_user.id) / timestamp
+    requirement_path = await _save_requirement_upload(requirement_file, target_dir / "requirement")
+    code_source_dir = await _save_code_uploads(code_files, target_dir / "code")
+    tool_job = create_auto_consistency_tool_job(
+        db=db,
+        user_id=current_user.id,
+        requirement_file_path=requirement_path,
+        requirement_file_name=safe_upload_name(requirement_file.filename),
+        code_source_dir=code_source_dir,
+        code_kb_name=code_kb_name,
+        top_k=top_k,
+        max_call_hops=max_call_hops,
+        min_similarity=min_similarity,
+        use_llm=use_llm,
+        use_semantic=use_semantic,
+    )
+    background_tasks.add_task(run_auto_consistency_job, tool_job.id)
+    return {"job_id": tool_job.id, "status": tool_job.status}
+
+
+@router.get("/auto-jobs/{job_id}", response_model=AutoConsistencyJobStatusResponse)
+async def get_auto_job(
+    job_id: int,
+    db: Session = Depends(get_db),
+    current_user: User = Depends(get_current_user),
+) -> Any:
+    job = get_owned_auto_job(db, current_user.id, job_id)
+    if not job:
+        raise HTTPException(status_code=404, detail="Auto consistency job not found.")
+    summary = job.output_summary or {}
+    return {
+        "job_id": job.id,
+        "status": job.status,
+        "error_message": job.error_message,
+        "current_step": summary.get("current_step"),
+        "srs_extraction_id": summary.get("srs_extraction_id"),
+        "code_kb_id": summary.get("code_kb_id"),
+        "consistency_job_id": summary.get("consistency_job_id"),
+        "created_at": job.created_at,
+        "updated_at": job.updated_at,
+    }
+
+
+@router.get("/jobs", response_model=List[ConsistencyJobResponse])
+async def get_jobs(
+    db: Session = Depends(get_db),
+    current_user: User = Depends(get_current_user),
+) -> Any:
+    return list_consistency_jobs(db, current_user.id)
+
+
+@router.get("/jobs/{job_id}", response_model=ConsistencyJobResponse)
+async def get_job(
+    job_id: int,
+    db: Session = Depends(get_db),
+    current_user: User = Depends(get_current_user),
+) -> Any:
+    job = get_owned_consistency_job(db, current_user.id, job_id)
+    if not job:
+        raise HTTPException(status_code=404, detail="Consistency job not found.")
+    return job
+
+
+@router.get("/jobs/{job_id}/results", response_model=List[ConsistencyResultResponse])
+async def get_job_results(
+    job_id: int,
+    db: Session = Depends(get_db),
+    current_user: User = Depends(get_current_user),
+) -> Any:
+    job = get_owned_consistency_job(db, current_user.id, job_id)
+    if not job:
+        raise HTTPException(status_code=404, detail="Consistency job not found.")
+    return (
+        db.query(ConsistencyResult)
+        .filter(ConsistencyResult.job_id == job.id)
+        .order_by(ConsistencyResult.id)
+        .all()
+    )
+
+
+@router.get("/jobs/{job_id}/export")
+async def export_job_results(
+    job_id: int,
+    format: str = Query(default="json", pattern="^(json|markdown|md|excel|xlsx)$"),
+    db: Session = Depends(get_db),
+    current_user: User = Depends(get_current_user),
+) -> Response:
+    job = get_owned_consistency_job(db, current_user.id, job_id)
+    if not job:
+        raise HTTPException(status_code=404, detail="Consistency job not found.")
+    rows = (
+        db.query(ConsistencyResult)
+        .filter(ConsistencyResult.job_id == job.id)
+        .order_by(ConsistencyResult.id)
+        .all()
+    )
+    payload = [result_model_to_export_dict(row) for row in rows]
+    if format in {"markdown", "md"}:
+        content = export_markdown(payload).encode("utf-8")
+        return Response(
+            content,
+            media_type="text/markdown; charset=utf-8",
+            headers={"Content-Disposition": f'attachment; filename="consistency-job-{job.id}.md"'},
+        )
+    if format in {"excel", "xlsx"}:
+        try:
+            content = export_excel(payload)
+        except RuntimeError as exc:
+            raise HTTPException(status_code=500, detail=str(exc)) from exc
+        return Response(
+            content,
+            media_type="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
+            headers={"Content-Disposition": f'attachment; filename="consistency-job-{job.id}.xlsx"'},
+        )
+    return Response(
+        export_json(payload),
+        media_type="application/json; charset=utf-8",
+        headers={"Content-Disposition": f'attachment; filename="consistency-job-{job.id}.json"'},
+    )

rag-web-ui/backend/app/api/api_v1/knowledge_base.py

@@ -28,6 +28,7 @@ from app.core.minio import get_minio_client
 from minio.error import MinioException
 from app.services.vector_store import VectorStoreFactory
 from app.services.embedding.embedding_factory import EmbeddingsFactory
+from app.services.model_config import ModelConfigService
 
 router = APIRouter()
 
@@ -163,19 +164,23 @@ async def delete_knowledge_base(
         # Get all document file paths before deletion
         document_paths = [doc.file_path for doc in kb.documents]
         
+        cleanup_errors = []
+
         # Initialize services
         minio_client = get_minio_client()
-        embeddings = EmbeddingsFactory.create()
-
-        vector_store = VectorStoreFactory.create(
-            store_type=settings.VECTOR_STORE_TYPE,
-            collection_name=f"kb_{kb_id}",
-            embedding_function=embeddings,
-        )
+        vector_store = None
+        try:
+            model_profile = ModelConfigService.get_active_config(db, current_user.id)
+            embeddings = EmbeddingsFactory.create(model_profile=model_profile)
+            vector_store = VectorStoreFactory.create(
+                store_type=settings.VECTOR_STORE_TYPE,
+                collection_name=f"kb_{kb_id}",
+                embedding_function=embeddings,
+            )
+        except Exception as e:
+            cleanup_errors.append(f"Failed to initialize vector store cleanup: {str(e)}")
         
         # Clean up external resources first
-        cleanup_errors = []
-        
         # 1. Clean up MinIO files
         try:
             # Delete all objects with prefix kb_{kb_id}/
@@ -188,12 +193,13 @@ async def delete_knowledge_base(
             logger.error(f"MinIO cleanup error for kb {kb_id}: {str(e)}")
         
         # 2. Clean up vector store
-        try:
-            vector_store._store.delete_collection(f"kb_{kb_id}")
-            logger.info(f"Cleaned up vector store for knowledge base {kb_id}")
-        except Exception as e:
-            cleanup_errors.append(f"Failed to clean up vector store: {str(e)}")
-            logger.error(f"Vector store cleanup error for kb {kb_id}: {str(e)}")
+        if vector_store is not None:
+            try:
+                vector_store._store.delete_collection(f"kb_{kb_id}")
+                logger.info(f"Cleaned up vector store for knowledge base {kb_id}")
+            except Exception as e:
+                cleanup_errors.append(f"Failed to clean up vector store: {str(e)}")
+                logger.error(f"Vector store cleanup error for kb {kb_id}: {str(e)}")
         
         # Finally, delete database records in a single transaction
         db.delete(kb)
@@ -366,6 +372,11 @@ async def process_kb_documents(
     
     if not upload_ids:
         return {"tasks": []}
+
+    try:
+        ModelConfigService.require_active_config(db, current_user.id)
+    except ValueError as exc:
+        raise HTTPException(status_code=400, detail=str(exc)) from exc
     
     uploads = db.query(DocumentUpload).filter(DocumentUpload.id.in_(upload_ids)).all()
     uploads_dict = {upload.id: upload for upload in uploads}
@@ -411,12 +422,13 @@ async def process_kb_documents(
     background_tasks.add_task(
         add_processing_tasks_to_queue,
         task_data,
-        kb_id
+        kb_id,
+        current_user.id,
     )
     
     return {"tasks": task_info}
 
-async def add_processing_tasks_to_queue(task_data, kb_id):
+async def add_processing_tasks_to_queue(task_data, kb_id, user_id):
     """Helper function to add document processing tasks to the queue without blocking the main response."""
     for data in task_data:
         asyncio.create_task(
@@ -425,7 +437,8 @@ async def add_processing_tasks_to_queue(task_data, kb_id):
                 data["file_name"],
                 kb_id,
                 data["task_id"],
-                None
+                None,
+                user_id=user_id,
             )
         )
     logger.info(f"Added {len(task_data)} document processing tasks to queue")
@@ -551,7 +564,11 @@ async def test_retrieval(
                 detail=f"Knowledge base {request.kb_id} not found",
             )
         
-        embeddings = EmbeddingsFactory.create()
+        try:
+            model_profile = ModelConfigService.require_active_config(db, current_user.id)
+        except ValueError as exc:
+            raise HTTPException(status_code=400, detail=str(exc)) from exc
+        embeddings = EmbeddingsFactory.create(model_profile=model_profile)
         
         vector_store = VectorStoreFactory.create(
             store_type=settings.VECTOR_STORE_TYPE,
@@ -571,5 +588,7 @@ async def test_retrieval(
             
         return {"results": response}
         
+    except HTTPException:
+        raise
     except Exception as e:
         raise HTTPException(status_code=500, detail=str(e))

rag-web-ui/backend/app/api/api_v1/model_configs.py

@@ -0,0 +1,78 @@
+from typing import Any, List
+
+from fastapi import APIRouter, Depends, HTTPException
+from sqlalchemy.orm import Session
+
+from app.core.security import get_current_user
+from app.db.session import get_db
+from app.models.user import User
+from app.schemas.model_config import (
+    ModelConfigCreate,
+    ModelConfigResponse,
+    ModelConfigUpdate,
+    ModelProviderOptionsResponse,
+)
+from app.services.model_config import ModelConfigService, provider_options_response
+
+router = APIRouter()
+
+
+@router.get("/providers", response_model=ModelProviderOptionsResponse)
+def read_model_provider_options(
+    current_user: User = Depends(get_current_user),
+) -> Any:
+    _ = current_user
+    return provider_options_response()
+
+
+@router.get("", response_model=List[ModelConfigResponse])
+def read_model_configs(
+    db: Session = Depends(get_db),
+    current_user: User = Depends(get_current_user),
+) -> Any:
+    return ModelConfigService.list_configs(db, current_user.id)
+
+
+@router.post("", response_model=ModelConfigResponse)
+def create_model_config(
+    *,
+    db: Session = Depends(get_db),
+    payload: ModelConfigCreate,
+    current_user: User = Depends(get_current_user),
+) -> Any:
+    try:
+        return ModelConfigService.create_config(db, current_user.id, payload)
+    except ValueError as exc:
+        raise HTTPException(status_code=400, detail=str(exc)) from exc
+
+
+@router.put("/{config_id}", response_model=ModelConfigResponse)
+def update_model_config(
+    *,
+    db: Session = Depends(get_db),
+    config_id: int,
+    payload: ModelConfigUpdate,
+    current_user: User = Depends(get_current_user),
+) -> Any:
+    item = ModelConfigService.get_config(db, current_user.id, config_id)
+    if not item:
+        raise HTTPException(status_code=404, detail="Model config not found.")
+    try:
+        return ModelConfigService.update_config(db, item, payload)
+    except ValueError as exc:
+        raise HTTPException(status_code=400, detail=str(exc)) from exc
+
+
+@router.delete("/{config_id}", response_model=ModelConfigResponse)
+def delete_model_config(
+    *,
+    db: Session = Depends(get_db),
+    config_id: int,
+    current_user: User = Depends(get_current_user),
+) -> Any:
+    item = ModelConfigService.get_config(db, current_user.id, config_id)
+    if not item:
+        raise HTTPException(status_code=404, detail="Model config not found.")
+    response = ModelConfigResponse.model_validate(item)
+    ModelConfigService.delete_config(db, item)
+    return response

rag-web-ui/backend/app/api/api_v1/testing.py

@@ -12,6 +12,8 @@ from app.models.knowledge import Document, KnowledgeBase
 from app.models.user import User
 from app.schemas.testing import TestingPipelineRequest, TestingPipelineResponse
 from app.services.embedding.embedding_factory import EmbeddingsFactory
+from app.services.llm.llm_factory import LLMFactory
+from app.services.model_config import ModelConfigService
 from app.services.retrieval.multi_kb_retriever import MultiKBRetriever, format_retrieval_context
 from app.services.testing_pipeline import run_testing_pipeline
 from app.services.vector_store import VectorStoreFactory
@@ -21,8 +23,12 @@ logger = logging.getLogger(__name__)
 MODEL_PIPELINE_TIMEOUT_SECONDS = 300
 
 
-async def _build_kb_vector_stores(db: Session, knowledge_bases: List[KnowledgeBase]) -> List[Dict[str, Any]]:
-    embeddings = EmbeddingsFactory.create()
+async def _build_kb_vector_stores(
+    db: Session,
+    knowledge_bases: List[KnowledgeBase],
+    model_profile: Any,
+) -> List[Dict[str, Any]]:
+    embeddings = EmbeddingsFactory.create(model_profile=model_profile)
     kb_vector_stores: List[Dict[str, Any]] = []
 
     for kb in knowledge_bases:
@@ -47,10 +53,9 @@ async def generate_testing_content(
     current_user: User = Depends(get_current_user),
     db: Session = Depends(get_db),
 ) -> Any:
-    _ = current_user
-
+    model_profile = ModelConfigService.get_active_config(db, current_user.id)
     knowledge_context = (payload.knowledge_context or "").strip()
-    if payload.knowledge_base_ids:
+    if payload.knowledge_base_ids and model_profile is not None:
         try:
             knowledge_bases = (
                 db.query(KnowledgeBase)
@@ -61,7 +66,7 @@ async def generate_testing_content(
                 .all()
             )
 
-            kb_vector_stores = await _build_kb_vector_stores(db, knowledge_bases)
+            kb_vector_stores = await _build_kb_vector_stores(db, knowledge_bases, model_profile)
             if kb_vector_stores:
                 retriever = MultiKBRetriever(
                     reranker_weight=settings.RERANKER_WEIGHT,
@@ -81,13 +86,39 @@ async def generate_testing_content(
                 payload.knowledge_base_ids,
                 exc,
             )
+    elif payload.knowledge_base_ids:
+        logger.warning(
+            "Testing generation skipped knowledge retrieval because no active model config exists: user=%s knowledge_base_ids=%s",
+            current_user.id,
+            payload.knowledge_base_ids,
+        )
+
+    use_model_generation = bool(payload.use_model_generation and model_profile is not None)
+    llm_model = None
+    if use_model_generation:
+        try:
+            llm_model = LLMFactory.create(streaming=False, model_profile=model_profile)
+            ModelConfigService.touch_last_used(db, model_profile)
+        except Exception as exc:
+            logger.exception(
+                "Testing generation LLM initialization failed for user=%s, falling back to rule-based output: %s",
+                current_user.id,
+                exc,
+            )
+            use_model_generation = False
+    elif payload.use_model_generation:
+        logger.warning(
+            "Testing generation falling back to rule-based output because no active model config exists: user=%s",
+            current_user.id,
+        )
 
     pipeline_kwargs = {
         "user_requirement_text": payload.requirement_text,
         "requirement_type_input": payload.requirement_type,
         "debug": payload.debug,
         "knowledge_context": knowledge_context,
-        "use_model_generation": payload.use_model_generation,
+        "use_model_generation": use_model_generation,
+        "llm_model": llm_model,
         "max_items_per_group": payload.max_items_per_group,
         "cases_per_item": payload.cases_per_item,
         "max_focus_points": payload.max_focus_points,

rag-web-ui/backend/app/api/api_v1/tools.py

@@ -34,6 +34,7 @@ from app.services.srs_job_service import (
     replace_requirements,
     run_srs_job,
 )
+from app.services.model_config import ModelConfigService
 from app.services.testing_generation_service import (
     build_testing_generation_response,
     create_testing_generation,
@@ -72,6 +73,11 @@ async def create_srs_job(
     if ext not in ALLOWED_EXTENSIONS:
         raise HTTPException(status_code=400, detail="仅支持 .pdf/.docx 文件")
 
+    try:
+        ModelConfigService.require_active_config(db, current_user.id)
+    except ValueError as exc:
+        raise HTTPException(status_code=400, detail=str(exc)) from exc
+
     job = ToolJob(
         user_id=current_user.id,
         tool_name="srs.requirement_extractor",

rag-web-ui/backend/app/api/openapi/knowledge.py

@@ -9,6 +9,7 @@ from app.db.session import get_db
 from app.core.security import get_api_key_user
 from app.core.config import settings
 from app.services.embedding.embedding_factory import EmbeddingsFactory
+from app.services.model_config import ModelConfigService
 
 router = APIRouter()
 
@@ -36,7 +37,11 @@ def query_knowledge_base(
                 detail=f"Knowledge base {knowledge_base_id} not found",
             )
         
-        embeddings = EmbeddingsFactory.create()
+        try:
+            model_profile = ModelConfigService.require_active_config(db, current_user.id)
+        except ValueError as exc:
+            raise HTTPException(status_code=400, detail=str(exc)) from exc
+        embeddings = EmbeddingsFactory.create(model_profile=model_profile)
         
         vector_store = VectorStoreFactory.create(
             store_type=settings.VECTOR_STORE_TYPE,
@@ -56,5 +61,7 @@ def query_knowledge_base(
             
         return {"results": response}
         
+    except HTTPException:
+        raise
     except Exception as e:
-        raise HTTPException(status_code=500, detail=str(e))
+        raise HTTPException(status_code=500, detail=str(e))