ai-robot-core/ai-service/app/api/admin/kb.py

"""
Knowledge Base management endpoints.
[AC-ASA-01, AC-ASA-02, AC-ASA-08] Document upload, list, and index job status.
"""

import logging
import os
import uuid
from typing import Annotated, Optional

from fastapi import APIRouter, BackgroundTasks, Depends, Query, UploadFile, File, Form
from fastapi.responses import JSONResponse
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession

from app.core.database import get_session
from app.core.exceptions import MissingTenantIdException
from app.core.tenant import get_tenant_id
from app.models import ErrorResponse
from app.models.entities import DocumentStatus, IndexJob, IndexJobStatus
from app.services.kb import KBService

logger = logging.getLogger(__name__)

router = APIRouter(prefix="/admin/kb", tags=["KB Management"])


def get_current_tenant_id() -> str:
    """Dependency to get current tenant ID or raise exception."""
    tenant_id = get_tenant_id()
    if not tenant_id:
        raise MissingTenantIdException()
    return tenant_id


@router.get(
    "/knowledge-bases",
    operation_id="listKnowledgeBases",
    summary="Query knowledge base list",
    description="Get list of knowledge bases for the current tenant.",
    responses={
        200: {"description": "Knowledge base list"},
        401: {"description": "Unauthorized", "model": ErrorResponse},
        403: {"description": "Forbidden", "model": ErrorResponse},
    },
)
async def list_knowledge_bases(
    tenant_id: Annotated[str, Depends(get_current_tenant_id)],
    session: Annotated[AsyncSession, Depends(get_session)],
) -> JSONResponse:
    """
    List all knowledge bases for the current tenant.
    """
    logger.info(f"Listing knowledge bases: tenant={tenant_id}")

    kb_service = KBService(session)
    knowledge_bases = await kb_service.list_knowledge_bases(tenant_id)

    kb_ids = [str(kb.id) for kb in knowledge_bases]

    doc_counts = {}
    if kb_ids:
        from sqlalchemy import func
        from app.models.entities import Document
        count_stmt = (
            select(Document.kb_id, func.count(Document.id).label("count"))
            .where(Document.tenant_id == tenant_id, Document.kb_id.in_(kb_ids))
            .group_by(Document.kb_id)
        )
        count_result = await session.execute(count_stmt)
        for row in count_result:
            doc_counts[row.kb_id] = row.count

    data = []
    for kb in knowledge_bases:
        kb_id_str = str(kb.id)
        data.append({
            "id": kb_id_str,
            "name": kb.name,
            "documentCount": doc_counts.get(kb_id_str, 0),
            "createdAt": kb.created_at.isoformat() + "Z",
        })

    return JSONResponse(content={"data": data})


@router.get(
    "/documents",
    operation_id="listDocuments",
    summary="Query document list",
    description="[AC-ASA-08] Get list of documents with pagination and filtering.",
    responses={
        200: {"description": "Document list with pagination"},
        401: {"description": "Unauthorized", "model": ErrorResponse},
        403: {"description": "Forbidden", "model": ErrorResponse},
    },
)
async def list_documents(
    tenant_id: Annotated[str, Depends(get_current_tenant_id)],
    session: Annotated[AsyncSession, Depends(get_session)],
    kb_id: Annotated[Optional[str], Query()] = None,
    status: Annotated[Optional[str], Query()] = None,
    page: int = Query(1, ge=1),
    page_size: int = Query(20, ge=1, le=100),
) -> JSONResponse:
    """
    [AC-ASA-08] List documents with filtering and pagination.
    """
    logger.info(
        f"[AC-ASA-08] Listing documents: tenant={tenant_id}, kb_id={kb_id}, "
        f"status={status}, page={page}, page_size={page_size}"
    )

    kb_service = KBService(session)
    documents, total = await kb_service.list_documents(
        tenant_id=tenant_id,
        kb_id=kb_id,
        status=status,
        page=page,
        page_size=page_size,
    )

    total_pages = (total + page_size - 1) // page_size if total > 0 else 0

    data = []
    for doc in documents:
        job_stmt = select(IndexJob).where(
            IndexJob.tenant_id == tenant_id,
            IndexJob.doc_id == doc.id,
        ).order_by(IndexJob.created_at.desc())
        job_result = await session.execute(job_stmt)
        latest_job = job_result.scalar_one_or_none()
        
        data.append({
            "docId": str(doc.id),
            "kbId": doc.kb_id,
            "fileName": doc.file_name,
            "status": doc.status,
            "jobId": str(latest_job.id) if latest_job else None,
            "createdAt": doc.created_at.isoformat() + "Z",
            "updatedAt": doc.updated_at.isoformat() + "Z",
        })

    return JSONResponse(
        content={
            "data": data,
            "pagination": {
                "page": page,
                "pageSize": page_size,
                "total": total,
                "totalPages": total_pages,
            },
        }
    )


@router.post(
    "/documents",
    operation_id="uploadDocument",
    summary="Upload/import document",
    description="[AC-ASA-01] Upload document and trigger indexing job.",
    responses={
        202: {"description": "Accepted - async indexing job started"},
        400: {"description": "Bad Request - unsupported format"},
        401: {"description": "Unauthorized", "model": ErrorResponse},
        403: {"description": "Forbidden", "model": ErrorResponse},
    },
)
async def upload_document(
    tenant_id: Annotated[str, Depends(get_current_tenant_id)],
    session: Annotated[AsyncSession, Depends(get_session)],
    background_tasks: BackgroundTasks,
    file: UploadFile = File(...),
    kb_id: str = Form(...),
) -> JSONResponse:
    """
    [AC-ASA-01] Upload document and create indexing job.
    [AC-AISVC-33, AC-AISVC-34, AC-AISVC-35, AC-AISVC-37] Support multiple document formats.
    """
    from app.services.document import get_supported_document_formats, UnsupportedFormatError
    from pathlib import Path
    
    logger.info(
        f"[AC-ASA-01] Uploading document: tenant={tenant_id}, "
        f"kb_id={kb_id}, filename={file.filename}"
    )

    file_ext = Path(file.filename or "").suffix.lower()
    supported_formats = get_supported_document_formats()
    
    if file_ext and file_ext not in supported_formats:
        return JSONResponse(
            status_code=400,
            content={
                "code": "UNSUPPORTED_FORMAT",
                "message": f"Unsupported file format: {file_ext}",
                "details": {
                    "supported_formats": supported_formats,
                },
            },
        )

    kb_service = KBService(session)

    kb = await kb_service.get_or_create_kb(tenant_id, kb_id)

    file_content = await file.read()
    document, job = await kb_service.upload_document(
        tenant_id=tenant_id,
        kb_id=str(kb.id),
        file_name=file.filename or "unknown",
        file_content=file_content,
        file_type=file.content_type,
    )
    
    await session.commit()

    background_tasks.add_task(
        _index_document, tenant_id, str(job.id), str(document.id), file_content, file.filename
    )

    return JSONResponse(
        status_code=202,
        content={
            "jobId": str(job.id),
            "docId": str(document.id),
            "status": job.status,
        },
    )


async def _index_document(tenant_id: str, job_id: str, doc_id: str, content: bytes, filename: str | None = None):
    """
    Background indexing task.
    [AC-AISVC-33, AC-AISVC-34, AC-AISVC-35] Uses document parsing and pluggable embedding.
    """
    from app.core.database import async_session_maker
    from app.services.kb import KBService
    from app.core.qdrant_client import get_qdrant_client
    from app.services.embedding import get_embedding_provider
    from app.services.document import parse_document, UnsupportedFormatError, DocumentParseException
    from qdrant_client.models import PointStruct
    import asyncio
    import tempfile
    from pathlib import Path

    await asyncio.sleep(1)

    async with async_session_maker() as session:
        kb_service = KBService(session)
        try:
            await kb_service.update_job_status(
                tenant_id, job_id, IndexJobStatus.PROCESSING.value, progress=10
            )
            await session.commit()

            text = None
            file_ext = Path(filename or "").suffix.lower()
            
            text_extensions = {".txt", ".md", ".markdown", ".rst", ".log", ".json", ".xml", ".yaml", ".yml"}
            
            if file_ext in text_extensions or not file_ext:
                text = content.decode("utf-8", errors="ignore")
            else:
                await kb_service.update_job_status(
                    tenant_id, job_id, IndexJobStatus.PROCESSING.value, progress=15
                )
                await session.commit()
                
                with tempfile.NamedTemporaryFile(delete=False, suffix=file_ext) as tmp_file:
                    tmp_file.write(content)
                    tmp_path = tmp_file.name
                
                try:
                    parse_result = parse_document(tmp_path)
                    text = parse_result.text
                    logger.info(
                        f"[AC-AISVC-33] Parsed document: {filename}, "
                        f"chars={len(text)}, format={parse_result.metadata.get('format')}"
                    )
                except (UnsupportedFormatError, DocumentParseException) as e:
                    logger.warning(f"Failed to parse document {filename}: {e}, falling back to text decode")
                    text = content.decode("utf-8", errors="ignore")
                finally:
                    Path(tmp_path).unlink(missing_ok=True)
            
            await kb_service.update_job_status(
                tenant_id, job_id, IndexJobStatus.PROCESSING.value, progress=20
            )
            await session.commit()

            embedding_provider = await get_embedding_provider()
            
            chunks = [text[i:i+500] for i in range(0, len(text), 500)]

            qdrant = await get_qdrant_client()
            await qdrant.ensure_collection_exists(tenant_id)

            points = []
            total_chunks = len(chunks)
            for i, chunk in enumerate(chunks):
                embedding = await embedding_provider.embed(chunk)
                
                points.append(
                    PointStruct(
                        id=str(uuid.uuid4()),
                        vector=embedding,
                        payload={
                            "text": chunk,
                            "source": doc_id,
                            "chunk_index": i,
                        },
                    )
                )
                
                progress = 20 + int((i + 1) / total_chunks * 70)
                if i % 10 == 0 or i == total_chunks - 1:
                    await kb_service.update_job_status(
                        tenant_id, job_id, IndexJobStatus.PROCESSING.value, progress=progress
                    )
                    await session.commit()

            if points:
                await qdrant.upsert_vectors(tenant_id, points)

            await kb_service.update_job_status(
                tenant_id, job_id, IndexJobStatus.COMPLETED.value, progress=100
            )
            await session.commit()

            logger.info(
                f"[AC-ASA-01] Indexing completed: tenant={tenant_id}, "
                f"job_id={job_id}, chunks={len(chunks)}"
            )

        except Exception as e:
            logger.error(f"[AC-ASA-01] Indexing failed: {e}")
            await session.rollback()
            async with async_session_maker() as error_session:
                kb_service = KBService(error_session)
                await kb_service.update_job_status(
                    tenant_id, job_id, IndexJobStatus.FAILED.value,
                    progress=0, error_msg=str(e)
                )
                await error_session.commit()


@router.get(
    "/index/jobs/{job_id}",
    operation_id="getIndexJob",
    summary="Query index job status",
    description="[AC-ASA-02] Get indexing job status and progress.",
    responses={
        200: {"description": "Job status details"},
        401: {"description": "Unauthorized", "model": ErrorResponse},
        403: {"description": "Forbidden", "model": ErrorResponse},
    },
)
async def get_index_job(
    tenant_id: Annotated[str, Depends(get_current_tenant_id)],
    session: Annotated[AsyncSession, Depends(get_session)],
    job_id: str,
) -> JSONResponse:
    """
    [AC-ASA-02] Get indexing job status with progress.
    """
    logger.info(
        f"[AC-ASA-02] Getting job status: tenant={tenant_id}, job_id={job_id}"
    )

    kb_service = KBService(session)
    job = await kb_service.get_index_job(tenant_id, job_id)

    if not job:
        return JSONResponse(
            status_code=404,
            content={
                "code": "JOB_NOT_FOUND",
                "message": f"Job {job_id} not found",
            },
        )

    return JSONResponse(
        content={
            "jobId": str(job.id),
            "docId": str(job.doc_id),
            "status": job.status,
            "progress": job.progress,
            "errorMsg": job.error_msg,
        }
    )


@router.delete(
    "/documents/{doc_id}",
    operation_id="deleteDocument",
    summary="Delete document",
    description="[AC-ASA-08] Delete a document and its associated files.",
    responses={
        200: {"description": "Document deleted"},
        404: {"description": "Document not found"},
        401: {"description": "Unauthorized", "model": ErrorResponse},
        403: {"description": "Forbidden", "model": ErrorResponse},
    },
)
async def delete_document(
    tenant_id: Annotated[str, Depends(get_current_tenant_id)],
    session: Annotated[AsyncSession, Depends(get_session)],
    doc_id: str,
) -> JSONResponse:
    """
    [AC-ASA-08] Delete a document.
    """
    logger.info(
        f"[AC-ASA-08] Deleting document: tenant={tenant_id}, doc_id={doc_id}"
    )

    kb_service = KBService(session)
    deleted = await kb_service.delete_document(tenant_id, doc_id)

    if not deleted:
        return JSONResponse(
            status_code=404,
            content={
                "code": "DOCUMENT_NOT_FOUND",
                "message": f"Document {doc_id} not found",
            },
        )

    return JSONResponse(
        content={
            "success": True,
            "message": "Document deleted",
        }
    )