mirror of
https://github.com/fawney19/Aether.git
synced 2026-01-07 10:12:27 +08:00
refactor(backend): update handlers, utilities and core modules after models restructure
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@@ -263,7 +263,10 @@ class ChatHandlerBase(BaseMessageHandler, ABC):
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mapping = await mapper.get_mapping(source_model, provider_id)
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if mapping and mapping.model:
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mapped_name = str(mapping.model.provider_model_name)
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# 使用 select_provider_model_name 支持别名功能
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# 传入 api_key.id 作为 affinity_key,实现相同用户稳定选择同一别名
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affinity_key = self.api_key.id if self.api_key else None
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mapped_name = mapping.model.select_provider_model_name(affinity_key)
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logger.debug(f"[Chat] 模型映射: {source_model} -> {mapped_name}")
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return mapped_name
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@@ -190,14 +190,17 @@ class CliMessageHandlerBase(BaseMessageHandler):
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"""
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获取模型映射后的实际模型名
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按优先级查找:映射 → 别名 → 直接匹配 GlobalModel
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查找逻辑:
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1. 直接通过 GlobalModel.name 匹配
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2. 查找该 Provider 的 Model 实现
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3. 使用 provider_model_name / provider_model_aliases 选择最终名称
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Args:
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source_model: 用户请求的模型名(可能是别名)
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source_model: 用户请求的模型名(必须是 GlobalModel.name)
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provider_id: Provider ID
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Returns:
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映射后的 provider_model_name,如果没有找到映射则返回 None
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映射后的 Provider 模型名,如果没有找到映射则返回 None
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"""
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from src.services.model.mapper import ModelMapperMiddleware
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@@ -207,7 +210,10 @@ class CliMessageHandlerBase(BaseMessageHandler):
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logger.debug(f"[CLI] _get_mapped_model: source={source_model}, provider={provider_id[:8]}..., mapping={mapping}")
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if mapping and mapping.model:
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mapped_name = str(mapping.model.provider_model_name)
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# 使用 select_provider_model_name 支持别名功能
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# 传入 api_key.id 作为 affinity_key,实现相同用户稳定选择同一别名
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affinity_key = self.api_key.id if self.api_key else None
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mapped_name = mapping.model.select_provider_model_name(affinity_key)
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logger.debug(f"[CLI] 模型映射: {source_model} -> {mapped_name} (provider={provider_id[:8]}...)")
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return mapped_name
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@@ -5,7 +5,7 @@
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不再经过 Protocol 抽象层。
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"""
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from typing import Any, Dict, Optional, Tuple
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from typing import Any, Dict, Optional, Tuple, Type
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from src.api.handlers.base.response_parser import (
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ParsedChunk,
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@@ -60,7 +60,7 @@ def _check_nested_error(response: Dict[str, Any]) -> Tuple[bool, Optional[Dict[s
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class OpenAIResponseParser(ResponseParser):
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"""OpenAI 格式响应解析器"""
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def __init__(self):
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def __init__(self) -> None:
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from src.api.handlers.openai.stream_parser import OpenAIStreamParser
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self._parser = OpenAIStreamParser()
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@@ -146,7 +146,7 @@ class OpenAIResponseParser(ResponseParser):
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if choices:
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message = choices[0].get("message", {})
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content = message.get("content")
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if content:
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if isinstance(content, str):
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return content
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return ""
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@@ -158,7 +158,7 @@ class OpenAIResponseParser(ResponseParser):
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class OpenAICliResponseParser(OpenAIResponseParser):
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"""OpenAI CLI 格式响应解析器"""
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def __init__(self):
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def __init__(self) -> None:
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super().__init__()
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self.name = "OPENAI_CLI"
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self.api_format = "OPENAI_CLI"
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@@ -167,7 +167,7 @@ class OpenAICliResponseParser(OpenAIResponseParser):
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class ClaudeResponseParser(ResponseParser):
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"""Claude 格式响应解析器"""
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def __init__(self):
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def __init__(self) -> None:
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from src.api.handlers.claude.stream_parser import ClaudeStreamParser
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self._parser = ClaudeStreamParser()
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@@ -291,7 +291,7 @@ class ClaudeResponseParser(ResponseParser):
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class ClaudeCliResponseParser(ClaudeResponseParser):
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"""Claude CLI 格式响应解析器"""
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def __init__(self):
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def __init__(self) -> None:
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super().__init__()
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self.name = "CLAUDE_CLI"
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self.api_format = "CLAUDE_CLI"
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@@ -300,7 +300,7 @@ class ClaudeCliResponseParser(ClaudeResponseParser):
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class GeminiResponseParser(ResponseParser):
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"""Gemini 格式响应解析器"""
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def __init__(self):
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def __init__(self) -> None:
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from src.api.handlers.gemini.stream_parser import GeminiStreamParser
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self._parser = GeminiStreamParser()
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@@ -443,20 +443,20 @@ class GeminiResponseParser(ResponseParser):
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使用增强的错误检测逻辑,支持嵌套在 chunks 中的错误
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"""
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return self._parser.is_error_event(response)
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return bool(self._parser.is_error_event(response))
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class GeminiCliResponseParser(GeminiResponseParser):
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"""Gemini CLI 格式响应解析器"""
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def __init__(self):
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def __init__(self) -> None:
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super().__init__()
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self.name = "GEMINI_CLI"
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self.api_format = "GEMINI_CLI"
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# 解析器注册表
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_PARSERS = {
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_PARSERS: Dict[str, Type[ResponseParser]] = {
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"CLAUDE": ClaudeResponseParser,
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"CLAUDE_CLI": ClaudeCliResponseParser,
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"OPENAI": OpenAIResponseParser,
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@@ -498,6 +498,5 @@ __all__ = [
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"GeminiResponseParser",
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"GeminiCliResponseParser",
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"get_parser_for_format",
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"get_parser_from_protocol",
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"is_cli_format",
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]
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@@ -108,7 +108,10 @@ class ClaudeStreamParser:
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return None
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try:
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return json.loads(line)
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result = json.loads(line)
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if isinstance(result, dict):
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return result
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return None
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except json.JSONDecodeError:
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return None
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@@ -147,7 +150,8 @@ class ClaudeStreamParser:
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Returns:
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事件类型字符串
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"""
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return event.get("type")
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event_type = event.get("type")
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return str(event_type) if event_type is not None else None
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def extract_text_delta(self, event: Dict[str, Any]) -> Optional[str]:
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"""
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@@ -164,7 +168,8 @@ class ClaudeStreamParser:
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delta = event.get("delta", {})
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if delta.get("type") == self.DELTA_TEXT:
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return delta.get("text")
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text = delta.get("text")
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return str(text) if text is not None else None
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return None
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@@ -219,7 +224,8 @@ class ClaudeStreamParser:
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return None
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message = event.get("message", {})
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return message.get("id")
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msg_id = message.get("id")
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return str(msg_id) if msg_id is not None else None
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def extract_stop_reason(self, event: Dict[str, Any]) -> Optional[str]:
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"""
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@@ -235,7 +241,8 @@ class ClaudeStreamParser:
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return None
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delta = event.get("delta", {})
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return delta.get("stop_reason")
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reason = delta.get("stop_reason")
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return str(reason) if reason is not None else None
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__all__ = ["ClaudeStreamParser"]
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@@ -70,7 +70,7 @@ class ClaudeToGeminiConverter:
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return [{"text": content}]
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if isinstance(content, list):
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parts = []
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parts: List[Dict[str, Any]] = []
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for block in content:
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if isinstance(block, str):
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parts.append({"text": block})
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@@ -249,6 +249,8 @@ class GeminiToClaudeConverter:
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"RECITATION": "content_filtered",
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"OTHER": "stop_sequence",
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}
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if finish_reason is None:
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return "end_turn"
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return mapping.get(finish_reason, "end_turn")
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def _create_empty_response(self) -> Dict[str, Any]:
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@@ -365,7 +367,7 @@ class OpenAIToGeminiConverter:
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return [{"text": content}]
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if isinstance(content, list):
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parts = []
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parts: List[Dict[str, Any]] = []
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for item in content:
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if isinstance(item, str):
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parts.append({"text": item})
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@@ -524,7 +526,7 @@ class GeminiToOpenAIConverter:
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"total_tokens": prompt_tokens + completion_tokens,
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}
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def _convert_finish_reason(self, finish_reason: Optional[str]) -> Optional[str]:
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def _convert_finish_reason(self, finish_reason: Optional[str]) -> str:
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"""转换停止原因"""
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mapping = {
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"STOP": "stop",
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@@ -533,6 +535,8 @@ class GeminiToOpenAIConverter:
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"RECITATION": "content_filter",
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"OTHER": "stop",
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}
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if finish_reason is None:
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return "stop"
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return mapping.get(finish_reason, "stop")
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@@ -10,7 +10,7 @@ Gemini API 的流式响应格式与 Claude/OpenAI 不同:
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"""
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import json
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from typing import Any, Dict, List, Optional
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from typing import Any, Dict, List, Optional, Union
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class GeminiStreamParser:
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@@ -32,18 +32,18 @@ class GeminiStreamParser:
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FINISH_REASON_RECITATION = "RECITATION"
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FINISH_REASON_OTHER = "OTHER"
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def __init__(self):
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def __init__(self) -> None:
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self._buffer = ""
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self._in_array = False
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self._brace_depth = 0
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def reset(self):
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def reset(self) -> None:
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"""重置解析器状态"""
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self._buffer = ""
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self._in_array = False
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self._brace_depth = 0
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def parse_chunk(self, chunk: bytes | str) -> List[Dict[str, Any]]:
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def parse_chunk(self, chunk: Union[bytes, str]) -> List[Dict[str, Any]]:
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"""
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解析流式数据块
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@@ -111,7 +111,10 @@ class GeminiStreamParser:
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return None
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try:
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return json.loads(line.strip().rstrip(","))
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result = json.loads(line.strip().rstrip(","))
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if isinstance(result, dict):
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return result
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return None
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except json.JSONDecodeError:
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return None
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@@ -216,7 +219,8 @@ class GeminiStreamParser:
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"""
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candidates = event.get("candidates", [])
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if candidates:
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return candidates[0].get("finishReason")
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reason = candidates[0].get("finishReason")
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return str(reason) if reason is not None else None
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return None
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def extract_text_delta(self, event: Dict[str, Any]) -> Optional[str]:
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@@ -285,7 +289,8 @@ class GeminiStreamParser:
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Returns:
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模型版本,如果没有返回 None
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"""
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return event.get("modelVersion")
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version = event.get("modelVersion")
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return str(version) if version is not None else None
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def extract_safety_ratings(self, event: Dict[str, Any]) -> Optional[List[Dict[str, Any]]]:
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"""
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@@ -301,7 +306,10 @@ class GeminiStreamParser:
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if not candidates:
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return None
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return candidates[0].get("safetyRatings")
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ratings = candidates[0].get("safetyRatings")
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if isinstance(ratings, list):
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return ratings
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return None
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__all__ = ["GeminiStreamParser"]
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@@ -78,7 +78,10 @@ class OpenAIStreamParser:
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return None
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try:
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return json.loads(line)
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result = json.loads(line)
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if isinstance(result, dict):
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return result
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return None
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except json.JSONDecodeError:
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return None
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@@ -116,7 +119,8 @@ class OpenAIStreamParser:
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"""
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choices = chunk.get("choices", [])
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if choices:
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return choices[0].get("finish_reason")
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reason = choices[0].get("finish_reason")
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return str(reason) if reason is not None else None
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return None
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def extract_text_delta(self, chunk: Dict[str, Any]) -> Optional[str]:
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@@ -156,7 +160,10 @@ class OpenAIStreamParser:
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return None
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delta = choices[0].get("delta", {})
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return delta.get("tool_calls")
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tool_calls = delta.get("tool_calls")
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if isinstance(tool_calls, list):
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return tool_calls
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return None
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def extract_role(self, chunk: Dict[str, Any]) -> Optional[str]:
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"""
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@@ -175,7 +182,8 @@ class OpenAIStreamParser:
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return None
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delta = choices[0].get("delta", {})
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return delta.get("role")
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role = delta.get("role")
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return str(role) if role is not None else None
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__all__ = ["OpenAIStreamParser"]
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