README.md

@@ -326,8 +326,7 @@ Authorization: Bearer <your_jwt_token>
       "chi_exp": "日语；日本的语言",
       "example": "日本語を勉強しています。"
     }
-  ],
+  ]
-  "hiragana": ["假名注音"]
 }
 ```
 
@@ -544,8 +543,8 @@ Authorization: Bearer <your_jwt_token>
 
 - **请求参数说明**:
     - `query`: 待翻译的文本
-    - `from_lang`: 源语言，支持值: `auto`(自动检测), `fra`(法语), `jp`(日语), `zh`(中文)，默认为 `auto`
+    - `from_lang`: 源语言，支持值: `auto`(自动检测), `fr`(法语), `jp`(日语), `zh`(中文)，默认为 `auto`
-    - `to_lang`: 目标语言，支持值: `fra`(法语), `jp`(日语), `zh`(中文)，默认为 `zh`，不能为 `auto`
+    - `to_lang`: 目标语言，支持值: `fr`(法语), `jp`(日语), `zh`(中文)，默认为 `zh`，不能为 `auto`
 
 - **响应**:
 
@@ -1234,11 +1233,12 @@ curl -X GET "http://127.0.0.1:8000/api/test/pron/start?count=5&lang=fr-FR" \
 
 ### 15. 部署说明
 
-1. 安装依赖：`uv pip install -r requirements.txt`（或使用 `pip install -r requirements.txt`）
+1. 安装依赖: `pip install -r requirements.txt`
-2. 配置环境：在项目根目录准备 `.env`，写入数据库、Redis、邮件、翻译等密钥（字段参考 `settings.Settings`）
+2. 配置数据库连接 (settings.py)
-3. 确保 MySQL 与 Redis 服务已启动并与 `.env` 中的连接信息匹配
+3. 配置百度翻译API密钥 (BAIDU_APPID, BAIDU_APPKEY)
-4. 初始化数据库（首次部署）：`aerich upgrade`
+4. 启动Redis服务
-5. 启动服务：`uvicorn main:app --host 0.0.0.0 --port 8000`（开发环境可加 `--reload`）
+5. 运行数据库迁移
+6. 启动服务: `python main.py`
 
 ---
 

app/api/search_dict/routes.py

@@ -142,7 +142,6 @@ async def search(request: Request, body: SearchRequest, user=Depends(get_current
             query=query,
             pos=pos_contents,
             contents=contents,
-            hiragana=query_kana,
         )
 
 
@@ -231,120 +230,50 @@ async def search_proverb_list(query_word: ProverbSearchRequest, user=Depends(get
 @dict_search.post("/search/proverb")
 async def search_proverb(proverb_id: int = Form(...), user=Depends(get_current_user)):
     result = await service.accurate_idiom_proverb(search_id=proverb_id, model=ProverbFr,
-                                                  only_fields=["id", "text", "chi_exp"])
+                                                  only_fields=["text", "chi_exp"])
 
     return {"result": result}
 
 
 @dict_search.post("/search/list/idiom")
-async def search_idiom_list(
+async def search_idiom_list(query_idiom: ProverbSearchRequest, user=Depends(get_current_user)):
-        query_idiom: ProverbSearchRequest,
-        user=Depends(get_current_user)
-):
-    """日语成语检索接口（带语言检测与分类逻辑）"""
-
     if query_idiom.dict_language == "fr":
         raise HTTPException(status_code=400, detail="Dict language Error")
 
-    # 语言检测
     mapping_query, lang, is_kangji = await service.detect_language(text=query_idiom.query)
     query = query_idiom.query
 
-    # 初始化任务列表（后续依任务顺序返回）
+    # ✅ 并发任务列表
-    tasks = []
+    tasks = [
-
+        service.suggest_proverb(
-    # --- 1️⃣ 日语输入 ---
+            query=query,
-    if lang == "jp":
+            lang=lang,
-        if is_kangji:
+            model=IdiomJp,
-            tasks.append(
+            search_field="search_text",
-                service.suggest_proverb(
+            target_field="text",
-                    query=query,
-                    lang="jp",
-                    model=IdiomJp,
-                    search_field="text",
-                )
-            )
-            tasks.append(
-                service.suggest_proverb(
-                    query=all_in_kana(query),
-                    lang="jp",
-                    model=IdiomJp,
-                    search_field="search_text",
-                    target_field="text",
-                )
-            )
-        else:
-            tasks.append(
-                service.suggest_proverb(
-                    query=query,
-                    lang="jp",
-                    model=IdiomJp,
-                    search_field="search_text",
-                    target_field="text",
-                )
-            )
-
-    # --- 2️⃣ 中文输入（调整优先级） ---
-    elif lang == "zh":
-        # ✅ (1) 若存在映射：mapping_query 优先匹配日语原型（text）
-        if is_kangji and mapping_query:
-            tasks.append(
-                service.suggest_proverb(
-                    query=mapping_query,
-                    lang="jp",
-                    model=IdiomJp,
-                    search_field="text",
-                )
-            )
-
-        # ✅ (2) 然后匹配中文释义（chi_exp 或 search_text）
-        tasks.append(
-            service.suggest_proverb(
-                query=query,
-                lang="zh",
-                model=IdiomJp,
-                target_field="text",
-            )
         )
+    ]
 
-        # ✅ (3) 最后用假名匹配映射（辅助补全）
+    if lang == "zh" and is_kangji:
-        if is_kangji and mapping_query:
+        # jp_query = all_in_kana(text=query_idiom.query)
-            tasks.append(
-                service.suggest_proverb(
-                    query=all_in_kana(mapping_query),
-                    lang="jp",
-                    model=IdiomJp,
-                    search_field="search_text",
-                )
-            )
-
-    # --- 3️⃣ 其他语言（默认回退） ---
-    else:
         tasks.append(
             service.suggest_proverb(
-                query=query,
+                query=mapping_query,
                 lang="jp",
                 model=IdiomJp,
-                search_field="search_text",
+                search_field="text",
-                target_field="text",
             )
         )
 
-    # ✅ 并发执行任务（结果顺序与任务定义顺序一致）
+    # ✅ 并发执行（返回结果顺序与任务顺序一致）
     results = await asyncio.gather(*tasks)
 
-    # ✅ 顺序合并 + 稳定去重
+    # ✅ 合并结果
-    seen = set()
+    result = results[0]
-    ordered_unique = []
+    if len(results) > 1:
-    for res in results:
+        result[:0] = results[1]  # 将中文映射查询结果插到最前面
-        for item in res:
-            key = item.get("proverb") or item.get("text")
-            if key and key not in seen:
-                seen.add(key)
-                ordered_unique.append(item)
-
-    return {"list": ordered_unique}
 
+    return {"list": result}
 
 
 @dict_search.post("/search/idiom")

app/api/search_dict/search_schemas.py

@@ -32,7 +32,6 @@ class WordSearchResponse(BaseModel):
     query: str
     pos: list
     contents: Union[List[SearchItemFr], List[SearchItemJp]]
-    hiragana : str
 
 
 class ProverbSearchResponse(BaseModel):

app/api/search_dict/service.py

@@ -92,8 +92,9 @@ async def suggest_proverb(
 
     # ✅ 搜索条件：中文时双字段联合匹配
     if lang == "zh":
-        start_condition = Q(**{f"{chi_exp_field}__istartswith": keyword})
+        start_condition = Q(**{f"{chi_exp_field}__istartswith": keyword}) | Q(
-        contain_condition = Q(**{f"{chi_exp_field}__icontains": keyword})
+            **{f"{search_field}__istartswith": keyword})
+        contain_condition = Q(**{f"{chi_exp_field}__icontains": keyword}) | Q(**{f"{search_field}__icontains": keyword})
     else:
         start_condition = Q(**{f"{search_field}__istartswith": keyword})
         contain_condition = Q(**{f"{search_field}__icontains": keyword})

app/api/translator.py

@@ -1,3 +1,4 @@
+import json
 import random
 from typing import Tuple, Dict
 
@@ -14,6 +15,8 @@ from settings import settings
 translator_router = APIRouter()
 
 # For list of language codes, please refer to `https://api.fanyi.baidu.com/doc/21`
+from_lang = 'en'
+to_lang = 'zh'
 
 
 # endpoint = 'https://api.fanyi.baidu.com'
@@ -78,7 +81,7 @@ async def baidu_translation(query: str, from_lang: str, to_lang: str):
         raise HTTPException(status_code=500, detail=response.json())
 
     data = response.json()
-    # print(json.dumps(data, indent=2, ensure_ascii=False))
+    print(json.dumps(data, indent=2, ensure_ascii=False))
 
     if "trans_result" not in data:
         raise HTTPException(status_code=500, detail={"error_code": data.get("error_code"), "error_msg": data.get("error_msg")})

app/api/util_api/routes.py

@@ -14,16 +14,7 @@ async def get_search_time(request: Request):
     if not count:
         await redis.set(key, value=0)
         count = 0
+    print(count, type(count))
     return {
         "count": int(count),
     }
-
-@ulit_router.get("/search/reset", tags=["search times reset"])
-async def reset_search_time(request: Request):
-    redis = request.app.state.redis
-    key = f"search_time"
-
-    count = await redis.set(key, 0)
-    return {
-        "message": "search times reset successfully",
-    }

app/schemas/trans_schemas.py

@@ -5,13 +5,13 @@ from pydantic import BaseModel, field_validator, model_validator
 
 class TransRequest(BaseModel):
     query: str
-    from_lang: Literal['auto', 'fra', 'jp', 'zh', 'en'] = 'auto'
+    from_lang: Literal['auto', 'fr', 'jp', 'zh', 'en'] = 'auto'
-    to_lang: Literal['fra', 'jp', 'zh', 'en'] = 'zh'
+    to_lang: Literal['fr', 'jp', 'zh', 'en'] = 'zh'
 
     @field_validator('from_lang', 'to_lang')
     @classmethod
     def validate_lang(cls, v):
-        allowed_langs = {'auto', 'fra', 'jp', 'zh', 'en'}
+        allowed_langs = {'auto', 'fr', 'jp', 'zh', 'en'}
         if v not in allowed_langs:
             raise ValueError(f'Unsupported language: {v}')
         return v