"""Qwen-MT translation orchestrator with cache and async helpers."""

  from __future__ import annotations

  import hashlib
  import logging

  import os

  import re

  import time

  from typing import Dict, List, Optional, Sequence, Union

  import redis

  from openai import OpenAI
  

  from config.env_config import DASHSCOPE_API_KEY, REDIS_CONFIG
  from config.services_config import get_translation_cache_config

  from config.tenant_config_loader import SOURCE_LANG_CODE_MAP, TARGET_LANG_CODE_MAP

  logger = logging.getLogger(__name__)

  class Translator:
      QWEN_DEFAULT_BASE_URL = "https://dashscope-us.aliyuncs.com/compatible-mode/v1"
      QWEN_MODEL = "qwen-mt-flash"

  
      def __init__(
          self,
          model: str = "qwen",
          api_key: Optional[str] = None,
          use_cache: bool = True,
          timeout: int = 10,
          glossary_id: Optional[str] = None,

          translation_context: Optional[str] = None,

      ):

          self.model = self._normalize_model(model)
          self.timeout = int(timeout)
          self.use_cache = bool(use_cache)

          self.glossary_id = glossary_id
          self.translation_context = translation_context or "e-commerce product search"

          cache_cfg = get_translation_cache_config()
          self.cache_prefix = str(cache_cfg.get("key_prefix", "trans:v2"))
          self.expire_seconds = int(cache_cfg.get("ttl_seconds", 360 * 24 * 3600))
          self.cache_sliding_expiration = bool(cache_cfg.get("sliding_expiration", True))
          self.cache_include_context = bool(cache_cfg.get("key_include_context", True))
          self.cache_include_prompt = bool(cache_cfg.get("key_include_prompt", True))
          self.cache_include_source_lang = bool(cache_cfg.get("key_include_source_lang", True))
  
          self.qwen_model_name = self._resolve_qwen_model_name(model)
          self._api_key = api_key or self._default_api_key(self.model)
          self._qwen_client: Optional[OpenAI] = None
          base_url = os.getenv("DASHSCOPE_BASE_URL") or self.QWEN_DEFAULT_BASE_URL
          if self._api_key:

              try:

                  self._qwen_client = OpenAI(api_key=self._api_key, base_url=base_url)
              except Exception as exc:
                  logger.warning("Failed to initialize qwen-mt client: %s", exc, exc_info=True)

          else:

              logger.warning("DASHSCOPE_API_KEY not set; qwen-mt translation unavailable")
  
          self.redis_client = None
          if self.use_cache and bool(cache_cfg.get("enabled", True)):
              self.redis_client = self._init_redis_client()
  

      @property
      def supports_batch(self) -> bool:
          """
          标记该 provider 已支持列表输入。
  
          当前实现为循环单条调用（带缓存），不是真正的并行批量请求，
          但对上层来说可以直接传 list，返回 list。
          """
          return True
  

      @staticmethod
      def _normalize_model(model: str) -> str:
          m = (model or "qwen").strip().lower()
          if m.startswith("qwen"):
              return "qwen-mt"
          raise ValueError(f"Unsupported model: {model}. Supported models: 'qwen', 'qwen-mt', 'qwen-mt-flash'")
  
      @staticmethod
      def _resolve_qwen_model_name(model: str) -> str:
          m = (model or "qwen").strip().lower()
          if m in {"qwen", "qwen-mt"}:
              return "qwen-mt-flash"
          return m
  
      @staticmethod
      def _default_api_key(model: str) -> Optional[str]:
          del model
          return DASHSCOPE_API_KEY or os.getenv("DASHSCOPE_API_KEY")
  
      def _init_redis_client(self):
          try:
              client = redis.Redis(
                  host=REDIS_CONFIG.get("host", "localhost"),
                  port=REDIS_CONFIG.get("port", 6479),
                  password=REDIS_CONFIG.get("password"),
                  decode_responses=True,
                  socket_timeout=REDIS_CONFIG.get("socket_timeout", 1),
                  socket_connect_timeout=REDIS_CONFIG.get("socket_connect_timeout", 1),
                  retry_on_timeout=REDIS_CONFIG.get("retry_on_timeout", False),
                  health_check_interval=10,
              )
              client.ping()
              return client
          except Exception as exc:
              logger.warning("Failed to initialize translation redis cache: %s", exc)
              return None
  
      def _build_cache_key(
          self,
          text: str,
          target_lang: str,
          source_lang: Optional[str],
          context: Optional[str],
          prompt: Optional[str],
      ) -> str:
          src = (source_lang or "auto").strip().lower() if self.cache_include_source_lang else "-"
          tgt = (target_lang or "").strip().lower()
          ctx = (context or "").strip() if self.cache_include_context else ""
          prm = (prompt or "").strip() if self.cache_include_prompt else ""
          payload = f"model={self.model}\nsrc={src}\ntgt={tgt}\nctx={ctx}\nprm={prm}\ntext={text}"
          digest = hashlib.sha256(payload.encode("utf-8")).hexdigest()
          return f"{self.cache_prefix}:{self.model}:{src}:{tgt}:{digest}"

  
      def translate(
          self,

          text: Union[str, Sequence[str]],

          target_lang: str,
          source_lang: Optional[str] = None,
          context: Optional[str] = None,

          prompt: Optional[str] = None,

      ) -> Union[Optional[str], List[Optional[str]]]:
          if isinstance(text, (list, tuple)):
              results: List[Optional[str]] = []
              for item in text:
                  if item is None or not str(item).strip():
                      results.append(item)  # type: ignore[arg-type]
                      continue
                  # 对于 batch，这里沿用单条的缓存与规则，逐条调用
                  out = self.translate(
                      text=str(item),
                      target_lang=target_lang,
                      source_lang=source_lang,
                      context=context,
                      prompt=prompt,
                  )
                  results.append(out)
              return results
  
          if not text or not str(text).strip():
              return text  # type: ignore[return-value]

          tgt = (target_lang or "").strip().lower()
          src = (source_lang or "").strip().lower() or None
          if tgt == "en" and self._is_english_text(text):

              return text

          if tgt == "zh" and (self._contains_chinese(text) or self._is_pure_number(text)):

              return text
  

          translation_context = context or self.translation_context

          cached = self._get_cached_translation_redis(text, tgt, src, translation_context, prompt)
          if cached is not None:
              return cached

          result = self._translate_qwen(text, tgt, src)

          if result is not None:
              self._set_cached_translation_redis(text, tgt, result, src, translation_context, prompt)

          return result
  
      def _translate_qwen(
          self,
          text: str,
          target_lang: str,
          source_lang: Optional[str],

      ) -> Optional[str]:

          if not self._qwen_client:

              return None

          tgt_norm = (target_lang or "").strip().lower()
          src_norm = (source_lang or "").strip().lower()
          tgt_qwen = self.SOURCE_LANG_CODE_MAP.get(tgt_norm, tgt_norm.capitalize())
          src_qwen = "auto" if not src_norm or src_norm == "auto" else self.SOURCE_LANG_CODE_MAP.get(src_norm, src_norm.capitalize())
          start = time.time()

          try:

              completion = self._qwen_client.chat.completions.create(
                  model=self.qwen_model_name,
                  messages=[{"role": "user", "content": text}],

                  extra_body={

                      "translation_options": {
                          "source_lang": src_qwen,
                          "target_lang": tgt_qwen,
                      }
                  },
                  timeout=self.timeout,

              )

              content = (completion.choices[0].message.content or "").strip()
              if not content:

                  return None

              logger.info("[qwen-mt] Success | src=%s tgt=%s latency=%.1fms", src_qwen, tgt_qwen, (time.time() - start) * 1000)
              return content
          except Exception as exc:

              logger.warning(

                  "[qwen-mt] Failed | src=%s tgt=%s latency=%.1fms error=%s",
                  src_qwen,
                  tgt_qwen,
                  (time.time() - start) * 1000,
                  exc,
                  exc_info=True,

              )
              return None
  

      def _get_cached_translation_redis(
          self,
          text: str,
          target_lang: str,
          source_lang: Optional[str] = None,
          context: Optional[str] = None,

          prompt: Optional[str] = None,

      ) -> Optional[str]:

          if not self.redis_client:
              return None

          key = self._build_cache_key(text, target_lang, source_lang, context, prompt)

          try:

              value = self.redis_client.get(key)
              if value and self.cache_sliding_expiration:
                  self.redis_client.expire(key, self.expire_seconds)
              return value
          except Exception as exc:
              logger.warning("Redis get translation cache failed: %s", exc)

              return None

      def _set_cached_translation_redis(
          self,
          text: str,
          target_lang: str,
          translation: str,
          source_lang: Optional[str] = None,
          context: Optional[str] = None,

          prompt: Optional[str] = None,

      ) -> None:

          if not self.redis_client:
              return

          key = self._build_cache_key(text, target_lang, source_lang, context, prompt)

          try:

              self.redis_client.setex(key, self.expire_seconds, translation)
          except Exception as exc:
              logger.warning("Redis set translation cache failed: %s", exc)

  
      def _shop_lang_matches(self, shop_lang_lower: str, lang_code: str) -> bool:

          if not shop_lang_lower or not lang_code:
              return False
          if shop_lang_lower == lang_code:
              return True
          if lang_code == "zh" and "zh" in shop_lang_lower:
              return True
          if lang_code == "en" and "en" in shop_lang_lower:
              return True
          return False
  

      def get_translation_needs(self, detected_lang: str, supported_langs: List[str]) -> List[str]:

          if detected_lang in supported_langs:

              return [lang for lang in supported_langs if lang != detected_lang]

          return supported_langs

      def _is_english_text(self, text: str) -> bool:

          if not text or not text.strip():
              return True

          text_clean = re.sub(r"[\s\.,!?;:\-\'\"\(\)\[\]{}]", "", text)

          if not text_clean:
              return True

          ascii_count = sum(1 for c in text_clean if ord(c) < 128)

          return (ascii_count / len(text_clean)) > 0.8
  

      def _contains_chinese(self, text: str) -> bool:

          if not text:
              return False

          return bool(re.search(r"[\u4e00-\u9fff]", text))
  

      def _is_pure_number(self, text: str) -> bool:

          if not text or not text.strip():
              return False

          text_clean = re.sub(r"[\s\.,]", "", text.strip())
          return bool(text_clean) and text_clean.isdigit()