|
| 1 | +import os |
| 2 | + |
| 3 | +import aiohttp |
| 4 | + |
| 5 | +from astrbot import logger |
| 6 | + |
| 7 | +from ..entities import ProviderType, RerankResult |
| 8 | +from ..provider import RerankProvider |
| 9 | +from ..register import register_provider_adapter |
| 10 | + |
| 11 | + |
| 12 | +class BailianRerankError(Exception): |
| 13 | + """百炼重排序服务异常基类""" |
| 14 | + |
| 15 | + pass |
| 16 | + |
| 17 | + |
| 18 | +class BailianAPIError(BailianRerankError): |
| 19 | + """百炼API返回错误""" |
| 20 | + |
| 21 | + pass |
| 22 | + |
| 23 | + |
| 24 | +class BailianNetworkError(BailianRerankError): |
| 25 | + """百炼网络请求错误""" |
| 26 | + |
| 27 | + pass |
| 28 | + |
| 29 | + |
| 30 | +@register_provider_adapter( |
| 31 | + "bailian_rerank", "阿里云百炼文本排序适配器", provider_type=ProviderType.RERANK |
| 32 | +) |
| 33 | +class BailianRerankProvider(RerankProvider): |
| 34 | + """阿里云百炼文本重排序适配器.""" |
| 35 | + |
| 36 | + def __init__(self, provider_config: dict, provider_settings: dict) -> None: |
| 37 | + super().__init__(provider_config, provider_settings) |
| 38 | + self.provider_config = provider_config |
| 39 | + self.provider_settings = provider_settings |
| 40 | + |
| 41 | + # API配置 |
| 42 | + self.api_key = provider_config.get("rerank_api_key") or os.getenv( |
| 43 | + "DASHSCOPE_API_KEY", "" |
| 44 | + ) |
| 45 | + if not self.api_key: |
| 46 | + raise ValueError("阿里云百炼 API Key 不能为空。") |
| 47 | + |
| 48 | + self.model = provider_config.get("rerank_model", "qwen3-rerank") |
| 49 | + self.timeout = provider_config.get("timeout", 30) |
| 50 | + self.return_documents = provider_config.get("return_documents", False) |
| 51 | + self.instruct = provider_config.get("instruct", "") |
| 52 | + |
| 53 | + self.base_url = provider_config.get( |
| 54 | + "rerank_api_base", |
| 55 | + "https://dashscope.aliyuncs.com/api/v1/services/rerank/text-rerank/text-rerank", |
| 56 | + ) |
| 57 | + |
| 58 | + # 设置HTTP客户端 |
| 59 | + headers = { |
| 60 | + "Authorization": f"Bearer {self.api_key}", |
| 61 | + "Content-Type": "application/json", |
| 62 | + } |
| 63 | + |
| 64 | + self.client = aiohttp.ClientSession( |
| 65 | + headers=headers, timeout=aiohttp.ClientTimeout(total=self.timeout) |
| 66 | + ) |
| 67 | + |
| 68 | + # 设置模型名称 |
| 69 | + self.set_model(self.model) |
| 70 | + |
| 71 | + logger.info(f"AstrBot 百炼 Rerank 初始化完成。模型: {self.model}") |
| 72 | + |
| 73 | + def _build_payload( |
| 74 | + self, query: str, documents: list[str], top_n: int | None |
| 75 | + ) -> dict: |
| 76 | + """构建请求载荷 |
| 77 | +
|
| 78 | + Args: |
| 79 | + query: 查询文本 |
| 80 | + documents: 文档列表 |
| 81 | + top_n: 返回前N个结果，如果为None则返回所有结果 |
| 82 | +
|
| 83 | + Returns: |
| 84 | + 请求载荷字典 |
| 85 | + """ |
| 86 | + base = {"model": self.model, "input": {"query": query, "documents": documents}} |
| 87 | + |
| 88 | + params = { |
| 89 | + k: v |
| 90 | + for k, v in [ |
| 91 | + ("top_n", top_n if top_n is not None and top_n > 0 else None), |
| 92 | + ("return_documents", True if self.return_documents else None), |
| 93 | + ( |
| 94 | + "instruct", |
| 95 | + self.instruct |
| 96 | + if self.instruct and self.model == "qwen3-rerank" |
| 97 | + else None, |
| 98 | + ), |
| 99 | + ] |
| 100 | + if v is not None |
| 101 | + } |
| 102 | + |
| 103 | + if params: |
| 104 | + base["parameters"] = params |
| 105 | + |
| 106 | + return base |
| 107 | + |
| 108 | + def _parse_results(self, data: dict) -> list[RerankResult]: |
| 109 | + """解析API响应结果 |
| 110 | +
|
| 111 | + Args: |
| 112 | + data: API响应数据 |
| 113 | +
|
| 114 | + Returns: |
| 115 | + 重排序结果列表 |
| 116 | +
|
| 117 | + Raises: |
| 118 | + BailianAPIError: API返回错误 |
| 119 | + KeyError: 结果缺少必要字段 |
| 120 | + """ |
| 121 | + # 检查响应状态 |
| 122 | + if data.get("code", "200") != "200": |
| 123 | + raise BailianAPIError( |
| 124 | + f"百炼 API 错误: {data.get('code')} – {data.get('message', '')}" |
| 125 | + ) |
| 126 | + |
| 127 | + results = data.get("output", {}).get("results", []) |
| 128 | + if not results: |
| 129 | + logger.warning(f"百炼 Rerank 返回空结果: {data}") |
| 130 | + return [] |
| 131 | + |
| 132 | + # 转换为RerankResult对象，使用.get()避免KeyError |
| 133 | + rerank_results = [] |
| 134 | + for idx, result in enumerate(results): |
| 135 | + try: |
| 136 | + index = result.get("index", idx) |
| 137 | + relevance_score = result.get("relevance_score", 0.0) |
| 138 | + |
| 139 | + if relevance_score is None: |
| 140 | + logger.warning(f"结果 {idx} 缺少 relevance_score，使用默认值 0.0") |
| 141 | + relevance_score = 0.0 |
| 142 | + |
| 143 | + rerank_result = RerankResult( |
| 144 | + index=index, relevance_score=relevance_score |
| 145 | + ) |
| 146 | + rerank_results.append(rerank_result) |
| 147 | + except Exception as e: |
| 148 | + logger.warning(f"解析结果 {idx} 时出错: {e}, result={result}") |
| 149 | + continue |
| 150 | + |
| 151 | + return rerank_results |
| 152 | + |
| 153 | + def _log_usage(self, data: dict) -> None: |
| 154 | + """记录使用量信息 |
| 155 | +
|
| 156 | + Args: |
| 157 | + data: API响应数据 |
| 158 | + """ |
| 159 | + tokens = data.get("usage", {}).get("total_tokens", 0) |
| 160 | + if tokens > 0: |
| 161 | + logger.debug(f"百炼 Rerank 消耗 Token: {tokens}") |
| 162 | + |
| 163 | + async def rerank( |
| 164 | + self, |
| 165 | + query: str, |
| 166 | + documents: list[str], |
| 167 | + top_n: int | None = None, |
| 168 | + ) -> list[RerankResult]: |
| 169 | + """ |
| 170 | + 对文档进行重排序 |
| 171 | +
|
| 172 | + Args: |
| 173 | + query: 查询文本 |
| 174 | + documents: 待排序的文档列表 |
| 175 | + top_n: 返回前N个结果，如果为None则使用配置中的默认值 |
| 176 | +
|
| 177 | + Returns: |
| 178 | + 重排序结果列表 |
| 179 | + """ |
| 180 | + if not documents: |
| 181 | + logger.warning("文档列表为空，返回空结果") |
| 182 | + return [] |
| 183 | + |
| 184 | + if not query.strip(): |
| 185 | + logger.warning("查询文本为空，返回空结果") |
| 186 | + return [] |
| 187 | + |
| 188 | + # 检查限制 |
| 189 | + if len(documents) > 500: |
| 190 | + logger.warning( |
| 191 | + f"文档数量({len(documents)})超过限制(500)，将截断前500个文档" |
| 192 | + ) |
| 193 | + documents = documents[:500] |
| 194 | + |
| 195 | + try: |
| 196 | + # 构建请求载荷，如果top_n为None则返回所有重排序结果 |
| 197 | + payload = self._build_payload(query, documents, top_n) |
| 198 | + |
| 199 | + logger.debug( |
| 200 | + f"百炼 Rerank 请求: query='{query[:50]}...', 文档数量={len(documents)}" |
| 201 | + ) |
| 202 | + |
| 203 | + # 发送请求 |
| 204 | + async with self.client.post(self.base_url, json=payload) as response: |
| 205 | + response.raise_for_status() |
| 206 | + response_data = await response.json() |
| 207 | + |
| 208 | + # 解析结果并记录使用量 |
| 209 | + results = self._parse_results(response_data) |
| 210 | + self._log_usage(response_data) |
| 211 | + |
| 212 | + logger.debug(f"百炼 Rerank 成功返回 {len(results)} 个结果") |
| 213 | + |
| 214 | + return results |
| 215 | + |
| 216 | + except aiohttp.ClientError as e: |
| 217 | + error_msg = f"网络请求失败: {e}" |
| 218 | + logger.error(f"百炼 Rerank 网络请求失败: {e}") |
| 219 | + raise BailianNetworkError(error_msg) from e |
| 220 | + except BailianRerankError: |
| 221 | + raise |
| 222 | + except Exception as e: |
| 223 | + error_msg = f"重排序失败: {e}" |
| 224 | + logger.error(f"百炼 Rerank 处理失败: {e}") |
| 225 | + raise BailianRerankError(error_msg) from e |
| 226 | + |
| 227 | + async def terminate(self) -> None: |
| 228 | + """关闭HTTP客户端会话.""" |
| 229 | + if self.client: |
| 230 | + logger.info("关闭 百炼 Rerank 客户端会话") |
| 231 | + try: |
| 232 | + await self.client.close() |
| 233 | + except Exception as e: |
| 234 | + logger.error(f"关闭 百炼 Rerank 客户端时出错: {e}") |
| 235 | + finally: |
| 236 | + self.client = None |
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