"""
  Search API routes.
  """
  

  from fastapi import APIRouter, HTTPException, Query, Request

  from typing import Optional

  import uuid

  import hashlib
  import json
  import logging

  
  from ..models import (
      SearchRequest,
      ImageSearchRequest,
      SearchResponse,

      SearchSuggestResponse,

      DocumentResponse,
      ErrorResponse
  )

  from context.request_context import create_request_context, set_current_request_context, clear_current_request_context

  
  router = APIRouter(prefix="/search", tags=["search"])

  backend_verbose_logger = logging.getLogger("backend.verbose")
  
  
  def _log_backend_verbose(payload: dict) -> None:
      if not backend_verbose_logger.handlers:
          return
      backend_verbose_logger.info(
          json.dumps(payload, ensure_ascii=False, separators=(",", ":"))
      )

  def extract_request_info(request: Request) -> tuple[str, str]:
      """Extract request ID and user ID from HTTP request"""
      # Try to get request ID from headers
      reqid = request.headers.get('X-Request-ID') or str(uuid.uuid4())[:8]
  

      # Try to get user ID from headers; if not found, use "-1" for correlation
      uid = request.headers.get('X-User-ID') or request.headers.get('User-ID') or "-1"

  
      return reqid, uid
  
  

  @router.post("/", response_model=SearchResponse)

  async def search(request: SearchRequest, http_request: Request):

      """

      Execute text search query (外部友好格式).

  
      Supports:
      - Multi-language query processing

      - Unified text retrieval strategy (no boolean AST parsing)

      - Semantic search with embeddings
      - Custom ranking functions

      - Exact match filters and range filters
      - Faceted search

      
      Requires tenant_id in header (X-Tenant-ID) or query parameter (tenant_id).

      """

      reqid, uid = extract_request_info(http_request)
  

      # Extract tenant_id (required)
      tenant_id = http_request.headers.get('X-Tenant-ID')
      if not tenant_id:
          # Try to get from query string
          from urllib.parse import parse_qs
          query_string = http_request.url.query
          if query_string:
              params = parse_qs(query_string)
              tenant_id = params.get('tenant_id', [None])[0]
      
      if not tenant_id:
          raise HTTPException(
              status_code=400,
              detail="tenant_id is required. Provide it via header 'X-Tenant-ID' or query parameter 'tenant_id'"
          )
  

      # Create request context
      context = create_request_context(reqid=reqid, uid=uid)
  
      # Set context in thread-local storage
      set_current_request_context(context)

  
      try:

          # Log request start (English logs, with key search parameters)
          client_ip = http_request.client.host if http_request.client else "unknown"
          user_agent = http_request.headers.get("User-Agent", "unknown")[:200]

          context.logger.info(

              "Received search request | "
              f"Tenant: {tenant_id} | "
              f"Query: {request.query} | "
              f"IP: {client_ip} | "
              f"User agent: {user_agent} | "
              f"size: {request.size} | from: {request.from_} | "
              f"sort_by: {request.sort_by} | sort_order: {request.sort_order} | "
              f"min_score: {request.min_score} | "
              f"language: {request.language} | "
              f"debug: {request.debug} | "

              f"enable_rerank: {request.enable_rerank} | "
              f"rerank_query_template: {request.rerank_query_template} | "
              f"rerank_doc_template: {request.rerank_doc_template} | "

              f"sku_filter_dimension: {request.sku_filter_dimension} | "
              f"filters: {request.filters} | "
              f"range_filters: {request.range_filters} | "
              f"facets: {request.facets}",

              extra={'reqid': context.reqid, 'uid': context.uid}
          )
  

          # Get searcher from app state

          from api.app import get_searcher

          searcher = get_searcher()
  

          # Execute search with context (using backend defaults from config)

          result = searcher.search(
              query=request.query,

              tenant_id=tenant_id,

              size=request.size,
              from_=request.from_,
              filters=request.filters,

              range_filters=request.range_filters,
              facets=request.facets,

              min_score=request.min_score,

              context=context,

              sort_by=request.sort_by,

              sort_order=request.sort_order,

              debug=request.debug,
              language=request.language,

              sku_filter_dimension=request.sku_filter_dimension,

              enable_rerank=request.enable_rerank,
              rerank_query_template=request.rerank_query_template,
              rerank_doc_template=request.rerank_doc_template,

          )
  

          # Include performance summary in response
          performance_summary = context.get_summary() if context else None
  

          # Convert to response model

          response = SearchResponse(

              results=result.results,

              total=result.total,
              max_score=result.max_score,
              took_ms=result.took_ms,

              facets=result.facets,

              query_info=result.query_info,

              suggestions=result.suggestions,
              related_searches=result.related_searches,

              performance_info=performance_summary,
              debug_info=result.debug_info

          )
  

          response_payload = response.model_dump(mode="json")
          response_json = json.dumps(response_payload, ensure_ascii=False, separators=(",", ":"))
          response_digest = hashlib.sha256(response_json.encode("utf-8")).hexdigest()[:16]
          max_score = float(response.max_score or 0.0)
  

          context.logger.info(

              "Search response | Total results: %s | Max score: %.4f | Time: %sms | payload_size: %s chars | digest: %s",
              response.total,
              max_score,
              response.took_ms,
              len(response_json),
              response_digest,

              extra={'reqid': context.reqid, 'uid': context.uid}
          )

          _log_backend_verbose({
              "event": "search_response",
              "reqid": context.reqid,
              "uid": context.uid,
              "tenant_id": tenant_id,
              "total_results": response.total,
              "max_score": max_score,
              "took_ms": response.took_ms,
              "payload_size_chars": len(response_json),
              "sha256_16": response_digest,
              "response": response_payload,
          })

  
          return response
  

      except Exception as e:

          # Log error in context
          if context:
              context.set_error(e)
              context.logger.error(

                  f"Search request failed | error: {str(e)}",

                  extra={'reqid': context.reqid, 'uid': context.uid}
              )

          raise HTTPException(status_code=500, detail=str(e))

      finally:
          # Clear thread-local context
          clear_current_request_context()

  
  
  @router.post("/image", response_model=SearchResponse)

  async def search_by_image(request: ImageSearchRequest, http_request: Request):

      """

      Search by image similarity (外部友好格式).

  
      Uses image embeddings to find visually similar products.

      Supports exact match filters and range filters.

      
      Requires tenant_id in header (X-Tenant-ID) or query parameter (tenant_id).

      """

      reqid, uid = extract_request_info(http_request)
  

      # Extract tenant_id (required)
      tenant_id = http_request.headers.get('X-Tenant-ID')
      if not tenant_id:
          from urllib.parse import parse_qs
          query_string = http_request.url.query
          if query_string:
              params = parse_qs(query_string)
              tenant_id = params.get('tenant_id', [None])[0]
      
      if not tenant_id:
          raise HTTPException(
              status_code=400,
              detail="tenant_id is required. Provide it via header 'X-Tenant-ID' or query parameter 'tenant_id'"
          )
  

      # Create request context
      context = create_request_context(reqid=reqid, uid=uid)
  
      # Set context in thread-local storage
      set_current_request_context(context)
  

      try:

          # Log request start for image search (English)
          client_ip = http_request.client.host if http_request.client else "unknown"

          context.logger.info(

              "Received image search request | "
              f"Tenant: {tenant_id} | "
              f"Image URL: {request.image_url} | "
              f"IP: {client_ip}",

              extra={'reqid': context.reqid, 'uid': context.uid}
          )
  

          from api.app import get_searcher

          searcher = get_searcher()
  
          # Execute image search
          result = searcher.search_by_image(
              image_url=request.image_url,

              tenant_id=tenant_id,

              size=request.size,

              filters=request.filters,
              range_filters=request.range_filters

          )
  

          # Include performance summary in response
          performance_summary = context.get_summary() if context else None
  

          response = SearchResponse(

              results=result.results,

              total=result.total,
              max_score=result.max_score,
              took_ms=result.took_ms,

              facets=result.facets,

              query_info=result.query_info,

              suggestions=result.suggestions,
              related_searches=result.related_searches,

              performance_info=performance_summary

          )
  

          response_payload = response.model_dump(mode="json")
          response_json = json.dumps(response_payload, ensure_ascii=False, separators=(",", ":"))
          response_digest = hashlib.sha256(response_json.encode("utf-8")).hexdigest()[:16]
          max_score = float(response.max_score or 0.0)
  

          context.logger.info(

              "Image search response | Total results: %s | Max score: %.4f | Time: %sms | payload_size: %s chars | digest: %s",
              response.total,
              max_score,
              response.took_ms,
              len(response_json),
              response_digest,

              extra={'reqid': context.reqid, 'uid': context.uid}
          )

          _log_backend_verbose({
              "event": "image_search_response",
              "reqid": context.reqid,
              "uid": context.uid,
              "tenant_id": tenant_id,
              "total_results": response.total,
              "max_score": max_score,
              "took_ms": response.took_ms,
              "payload_size_chars": len(response_json),
              "sha256_16": response_digest,
              "response": response_payload,
          })

  
          return response
  

      except ValueError as e:

          if context:
              context.set_error(e)
              context.logger.error(

                  f"Image search request parameter error | error: {str(e)}",

                  extra={'reqid': context.reqid, 'uid': context.uid}
              )

          raise HTTPException(status_code=400, detail=str(e))
      except Exception as e:

          if context:
              context.set_error(e)
              context.logger.error(

                  f"Image search request failed | error: {str(e)}",

                  extra={'reqid': context.reqid, 'uid': context.uid}
              )

          raise HTTPException(status_code=500, detail=str(e))

      finally:
          # Clear thread-local context
          clear_current_request_context()

  @router.get("/suggestions", response_model=SearchSuggestResponse)
  async def search_suggestions(
      q: str = Query(..., min_length=1, description="搜索查询"),

      size: int = Query(10, ge=1, le=50, description="建议数量（1-50）"),

      language: str = Query("en", description="请求语言，如 zh/en/ar/ru"),

      debug: bool = Query(False, description="是否返回调试信息"),
      http_request: Request = None,

  ):
      """
      获取搜索建议（自动补全）。
      

      获取搜索建议（自动补全，支持多语言）。

      """

      # Extract tenant_id (required)
      tenant_id = http_request.headers.get("X-Tenant-ID") if http_request else None
      if not tenant_id and http_request:
          from urllib.parse import parse_qs
          query_string = http_request.url.query
          if query_string:
              params = parse_qs(query_string)
              tenant_id = params.get("tenant_id", [None])[0]
  
      if not tenant_id:
          raise HTTPException(
              status_code=400,
              detail="tenant_id is required. Provide it via header 'X-Tenant-ID' or query parameter 'tenant_id'",
          )
  
      try:
          from api.app import get_suggestion_service
  
          service = get_suggestion_service()
          result = service.search(
              tenant_id=tenant_id,
              query=q,
              language=language,
              size=size,

          )
          response = SearchSuggestResponse(
              query=result["query"],
              language=result.get("language"),
              resolved_language=result.get("resolved_language"),
              suggestions=result["suggestions"],
              took_ms=result["took_ms"],
          )
          if debug:
              # keep response_model stable; debug info stays inside suggestions payload for now
              return response
          return response
      except Exception as e:
          raise HTTPException(status_code=500, detail=str(e))

  
  
  @router.get("/instant", response_model=SearchResponse)
  async def instant_search(
      q: str = Query(..., min_length=2, description="搜索查询"),

      size: int = Query(5, ge=1, le=20, description="结果数量"),

  ):
      """
      即时搜索（Instant Search）。
      
      功能说明：
      - 边输入边搜索，无需点击搜索按钮
      - 返回简化的搜索结果
      

      注意：此功能暂未开放，当前明确返回 501。

      """

      # 明确暴露当前接口尚未完成实现，避免调用不完整逻辑导致隐式运行时错误。
      raise HTTPException(
          status_code=501,
          detail=(
              "/search/instant is not implemented yet. "
              "Use POST /search/ for production traffic."
          ),

      )
  
  

  @router.get("/{doc_id}", response_model=DocumentResponse)

  async def get_document(doc_id: str, http_request: Request):

      """
      Get a single document by ID.

      
      Requires tenant_id in header (X-Tenant-ID) or query parameter (tenant_id).

      """
      try:

          # Extract tenant_id (required)
          tenant_id = http_request.headers.get('X-Tenant-ID')
          if not tenant_id:
              # Try to get from query string
              from urllib.parse import parse_qs
              query_string = http_request.url.query
              if query_string:
                  params = parse_qs(query_string)
                  tenant_id = params.get('tenant_id', [None])[0]
          
          if not tenant_id:
              raise HTTPException(
                  status_code=400,
                  detail="tenant_id is required. Provide it via header 'X-Tenant-ID' or query parameter 'tenant_id'"
              )
          

          from api.app import get_searcher

          searcher = get_searcher()
  

          doc = searcher.get_document(tenant_id=tenant_id, doc_id=doc_id)

  
          if doc is None:

              raise HTTPException(status_code=404, detail=f"Document {doc_id} not found for tenant {tenant_id}")

  
          return DocumentResponse(id=doc_id, source=doc)
  
      except HTTPException:
          raise
      except Exception as e:
          raise HTTPException(status_code=500, detail=str(e))