mirror of
https://github.com/fawney19/Aether.git
synced 2026-10-09 10:57:03 +08:00
refactor: 使用 data_format_id 重构格式兼容性判断逻辑
- 在 ApiFormatDefinition 中新增 data_format_id 字段标识数据格式 - 新增 can_passthrough() 函数判断格式间是否可透传 - 重构 compatibility.py 使用 data_format_id 替代 get_base_format() - 使用量记录支持从 endpoint 回填格式信息(兼容历史数据) - 前端优化格式转换显示逻辑,区分跨格式转换和同族格式差异 - 首页 header 响应式布局优化
This commit is contained in:
+63
-47
@@ -730,6 +730,7 @@ class GetUsageAdapter(AuthenticatedApiAdapter):
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async def handle(self, context): # type: ignore[override]
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from sqlalchemy import or_
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from src.models.database import ProviderEndpoint
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from src.utils.database_helpers import escape_like_pattern, safe_truncate_escaped
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db = context.db
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@@ -837,8 +838,9 @@ class GetUsageAdapter(AuthenticatedApiAdapter):
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summary_by_provider = sorted(summary_by_provider, key=lambda x: x["requests"], reverse=True)
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query = (
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db.query(Usage, ApiKey)
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db.query(Usage, ApiKey, ProviderEndpoint)
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.outerjoin(ApiKey, Usage.api_key_id == ApiKey.id)
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.outerjoin(ProviderEndpoint, Usage.provider_endpoint_id == ProviderEndpoint.id)
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.filter(Usage.user_id == user.id)
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)
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if self.start_date:
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@@ -894,50 +896,14 @@ class GetUsageAdapter(AuthenticatedApiAdapter):
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"offset": self.offset,
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"has_more": self.offset + self.limit < total_records,
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},
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"records": [
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{
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"id": r.id,
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"model": r.model,
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"target_model": r.target_model, # 映射后的目标模型名
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"api_format": r.api_format,
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"endpoint_api_format": r.endpoint_api_format,
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"has_format_conversion": bool(r.has_format_conversion) if r.has_format_conversion is not None else False,
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"input_tokens": r.input_tokens,
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"output_tokens": r.output_tokens,
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"total_tokens": r.total_tokens,
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"cost": r.total_cost_usd,
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"response_time_ms": r.response_time_ms,
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"first_byte_time_ms": r.first_byte_time_ms,
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"is_stream": r.is_stream,
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"status": r.status, # 请求状态: pending, streaming, completed, failed
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"created_at": r.created_at.isoformat(),
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"cache_creation_input_tokens": r.cache_creation_input_tokens,
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"cache_read_input_tokens": r.cache_read_input_tokens,
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"status_code": r.status_code,
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"error_message": r.error_message,
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"input_price_per_1m": r.input_price_per_1m,
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"output_price_per_1m": r.output_price_per_1m,
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"cache_creation_price_per_1m": r.cache_creation_price_per_1m,
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"cache_read_price_per_1m": r.cache_read_price_per_1m,
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"api_key": (
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{
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"id": str(api_key.id),
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"name": api_key.name,
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"display": api_key.get_display_key(),
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}
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if api_key
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else None
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),
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}
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for r, api_key in usage_records
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],
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"records": self._build_usage_records(usage_records),
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}
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# 管理员可以看到真实成本
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if user.role == "admin":
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response_data["total_actual_cost"] = total_actual_cost
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# 为每条记录添加真实成本和倍率信息
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for i, (r, _) in enumerate(usage_records):
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for i, (r, _, _) in enumerate(usage_records):
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# 确保字段有值,避免前端显示 -
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actual_cost = (
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r.actual_total_cost_usd if r.actual_total_cost_usd is not None else 0.0
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@@ -946,16 +912,66 @@ class GetUsageAdapter(AuthenticatedApiAdapter):
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response_data["records"][i]["actual_cost"] = actual_cost
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response_data["records"][i]["rate_multiplier"] = rate_mult
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# 调试日志:检查前几条记录
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if i < 3:
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from src.core.logger import logger
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logger.debug(
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f"Usage record {i}: id={r.id}, actual_total_cost_usd={r.actual_total_cost_usd}, "
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f"rate_multiplier={r.rate_multiplier}, returned: actual_cost={actual_cost}, rate_mult={rate_mult}"
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)
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return response_data
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def _build_usage_records(self, usage_records: list) -> list:
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"""构建使用记录列表,包含格式转换信息的回填逻辑"""
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from src.core.api_format.metadata import can_passthrough
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records = []
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for r, api_key, endpoint in usage_records:
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# 格式转换追踪(兼容历史数据:尽量回填可展示信息)
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api_format = r.api_format
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endpoint_api_format = r.endpoint_api_format or (
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endpoint.api_format if endpoint else None
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)
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has_format_conversion = r.has_format_conversion
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if has_format_conversion is None:
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# 使用 can_passthrough 判断是否需要转换,与实际转换逻辑保持一致
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client_fmt = str(api_format or "").upper()
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endpoint_fmt = str(endpoint_api_format or "").upper()
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if client_fmt and endpoint_fmt:
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has_format_conversion = not can_passthrough(client_fmt, endpoint_fmt)
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else:
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has_format_conversion = False
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records.append({
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"id": r.id,
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"model": r.model,
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"target_model": r.target_model, # 映射后的目标模型名
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"api_format": api_format,
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"endpoint_api_format": endpoint_api_format,
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"has_format_conversion": bool(has_format_conversion),
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"input_tokens": r.input_tokens,
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"output_tokens": r.output_tokens,
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"total_tokens": r.total_tokens,
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"cost": r.total_cost_usd,
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"response_time_ms": r.response_time_ms,
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"first_byte_time_ms": r.first_byte_time_ms,
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"is_stream": r.is_stream,
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"status": r.status, # 请求状态: pending, streaming, completed, failed
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"created_at": r.created_at.isoformat(),
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"cache_creation_input_tokens": r.cache_creation_input_tokens,
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"cache_read_input_tokens": r.cache_read_input_tokens,
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"status_code": r.status_code,
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"error_message": r.error_message,
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"input_price_per_1m": r.input_price_per_1m,
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"output_price_per_1m": r.output_price_per_1m,
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"cache_creation_price_per_1m": r.cache_creation_price_per_1m,
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"cache_read_price_per_1m": r.cache_read_price_per_1m,
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"api_key": (
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{
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"id": str(api_key.id),
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"name": api_key.name,
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"display": api_key.get_display_key(),
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}
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if api_key
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else None
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),
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})
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return records
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@dataclass
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class GetActiveRequestsAdapter(AuthenticatedApiAdapter):
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@@ -5,8 +5,8 @@
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转换逻辑:
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1. 格式完全匹配 -> 透传(无需转换)
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2. 同族格式透传(CLAUDE/CLAUDE_CLI、GEMINI/GEMINI_CLI 格式相同,只是认证不同)
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3. 需要转换的情况 -> 检查全局开关 + 端点配置 + 转换器能力
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2. data_format_id 相同 -> 透传(如 CLAUDE/CLAUDE_CLI 数据格式相同)
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3. data_format_id 不同 -> 需要转换,检查全局开关 + 端点配置 + 转换器能力
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"""
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from __future__ import annotations
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@@ -17,7 +17,7 @@ from typing import TYPE_CHECKING, Optional, Tuple
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if TYPE_CHECKING:
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from src.core.api_format.conversion.registry import FormatConversionRegistry
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from src.core.api_format.utils import get_base_format
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from src.core.api_format.metadata import can_passthrough
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logger = logging.getLogger(__name__)
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@@ -64,17 +64,25 @@ def is_format_compatible(
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if provider_format == client_format_upper:
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return True, False, None
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# 2. 同族格式检查
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provider_base = get_base_format(provider_format)
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client_base = get_base_format(client_format_upper)
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is_same_family = provider_base == client_base
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if is_same_family and provider_base != "OPENAI":
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# CLAUDE/CLAUDE_CLI、GEMINI/GEMINI_CLI 等:格式相同,只是认证不同,可透传
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# 注意:这些格式之间没有定义转换器,因为数据格式完全相同
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# 2. 检查是否可以透传(data_format_id 相同)
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# 例如:CLAUDE/CLAUDE_CLI 的 data_format_id 都是 "claude",数据格式相同可透传
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# OPENAI 是 "openai_chat",OPENAI_CLI 是 "openai_responses",需要转换
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if can_passthrough(client_format_upper, provider_format):
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# 可透传,但仍需检查端点的格式限制配置(如果有)
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if endpoint_format_acceptance_config and isinstance(endpoint_format_acceptance_config, dict):
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config = endpoint_format_acceptance_config
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# 检查 reject_formats(即使可透传也应遵守拒绝列表)
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reject_formats = config.get("reject_formats", [])
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if client_format_upper in [f.upper() for f in reject_formats]:
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return False, False, f"端点拒绝 {client_format} 格式"
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# 检查 accept_formats(如果配置了白名单,也需在白名单中)
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accept_formats = config.get("accept_formats", [])
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if accept_formats and client_format_upper not in [f.upper() for f in accept_formats]:
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return False, False, f"端点不接受 {client_format} 格式"
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# 通过检查后,可透传(无需转换)
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return True, False, None
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# 3. 需要转换的情况(OPENAI/OPENAI_CLI 同族转换 或 跨格式转换)
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# 3. 需要转换的情况(data_format_id 不同)
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# 检查全局开关(来自环境变量,默认开启)
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if not global_conversion_enabled:
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return False, False, "全局格式转换未启用(环境变量 FORMAT_CONVERSION_ENABLED=false)"
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@@ -38,6 +38,9 @@ class ApiFormatDefinition:
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- protected_keys: 不应被 extra_headers 覆盖的头部(小写)
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- model_in_body: 是否需要在请求体中包含 model 字段(Gemini 等格式通过 URL 传递模型名)
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- stream_in_body: 是否需要在请求体中包含 stream 字段(Gemini 等格式通过 URL 端点区分流式)
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- data_format_id: 数据格式标识,相同 ID 的格式数据结构相同可以透传,不同则需要转换
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例如:CLAUDE/CLAUDE_CLI 都是 "claude",可以透传
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OPENAI 是 "openai_chat",OPENAI_CLI 是 "openai_responses",需要转换
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"""
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api_format: APIFormat
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@@ -50,6 +53,7 @@ class ApiFormatDefinition:
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protected_keys: frozenset[str] = field(default_factory=frozenset) # 受保护的头部 key(小写)
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model_in_body: bool = True # 是否需要在请求体中包含 model 字段
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stream_in_body: bool = True # 是否需要在请求体中包含 stream 字段
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data_format_id: str = "" # 数据格式标识,相同 ID 可透传,不同需转换
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def iter_aliases(self) -> Iterable[str]:
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"""返回大小写统一后的别名集合,包含枚举名本身。"""
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@@ -70,6 +74,7 @@ _DEFINITIONS: Dict[APIFormat, ApiFormatDefinition] = {
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auth_type="header",
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extra_headers={"anthropic-version": "2023-06-01"},
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protected_keys=frozenset({"x-api-key", "content-type", "anthropic-version"}),
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data_format_id="claude", # CLAUDE/CLAUDE_CLI 数据格式相同
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),
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APIFormat.CLAUDE_CLI: ApiFormatDefinition(
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api_format=APIFormat.CLAUDE_CLI,
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@@ -79,6 +84,7 @@ _DEFINITIONS: Dict[APIFormat, ApiFormatDefinition] = {
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auth_header="Authorization",
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auth_type="bearer",
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protected_keys=frozenset({"authorization", "content-type"}),
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data_format_id="claude", # CLAUDE/CLAUDE_CLI 数据格式相同
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),
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APIFormat.OPENAI: ApiFormatDefinition(
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api_format=APIFormat.OPENAI,
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@@ -98,6 +104,7 @@ _DEFINITIONS: Dict[APIFormat, ApiFormatDefinition] = {
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auth_header="Authorization",
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auth_type="bearer",
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protected_keys=frozenset({"authorization", "content-type"}),
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data_format_id="openai_chat", # Chat Completions API 格式
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),
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APIFormat.OPENAI_CLI: ApiFormatDefinition(
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api_format=APIFormat.OPENAI_CLI,
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@@ -107,6 +114,7 @@ _DEFINITIONS: Dict[APIFormat, ApiFormatDefinition] = {
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auth_header="Authorization",
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auth_type="bearer",
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protected_keys=frozenset({"authorization", "content-type"}),
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data_format_id="openai_responses", # Responses API 格式,与 OPENAI 不同需转换
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),
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APIFormat.GEMINI: ApiFormatDefinition(
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api_format=APIFormat.GEMINI,
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@@ -118,6 +126,7 @@ _DEFINITIONS: Dict[APIFormat, ApiFormatDefinition] = {
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protected_keys=frozenset({"x-goog-api-key", "content-type"}),
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model_in_body=False, # Gemini 通过 URL 路径传递模型名
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stream_in_body=False, # Gemini 通过 URL 端点区分流式(streamGenerateContent vs generateContent)
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data_format_id="gemini", # GEMINI/GEMINI_CLI 数据格式相同
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),
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APIFormat.GEMINI_CLI: ApiFormatDefinition(
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api_format=APIFormat.GEMINI_CLI,
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@@ -129,6 +138,7 @@ _DEFINITIONS: Dict[APIFormat, ApiFormatDefinition] = {
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protected_keys=frozenset({"x-goog-api-key", "content-type"}),
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model_in_body=False, # Gemini 通过 URL 路径传递模型名
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stream_in_body=False, # Gemini 通过 URL 端点区分流式
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data_format_id="gemini", # GEMINI/GEMINI_CLI 数据格式相同
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),
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}
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@@ -227,6 +237,62 @@ def get_protected_keys(api_format: APIFormat) -> frozenset[str]:
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return frozenset({"authorization", "content-type"})
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def get_data_format_id(api_format: Union[str, APIFormat]) -> str:
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"""
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获取格式的数据格式标识。
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相同 data_format_id 的格式数据结构相同,可以透传;不同则需要转换。
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Args:
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api_format: API 格式(字符串或枚举)
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Returns:
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数据格式标识,未找到时返回格式名称本身(小写)
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"""
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# 统一转换为 APIFormat 枚举
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if isinstance(api_format, str):
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resolved = resolve_api_format(api_format)
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if resolved is None:
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# 未知格式:返回小写,与已定义格式的 data_format_id 风格一致
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return api_format.lower()
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api_format = resolved
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definition = API_FORMAT_DEFINITIONS.get(api_format)
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if definition and definition.data_format_id:
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return definition.data_format_id
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# 兜底:返回格式名称本身(小写)
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return api_format.value.lower()
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def can_passthrough(client_format: Union[str, APIFormat], endpoint_format: Union[str, APIFormat]) -> bool:
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"""
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判断两个格式之间是否可以透传(不需要数据转换)。
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透传条件:
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1. 格式完全相同
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2. data_format_id 相同(如 CLAUDE 和 CLAUDE_CLI 都是 "claude")
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Args:
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client_format: 客户端请求格式
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endpoint_format: 端点 API 格式
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Returns:
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True 表示可以透传,False 表示需要转换
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"""
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# 统一转换为字符串比较
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client_str = client_format.value if isinstance(client_format, APIFormat) else str(client_format).upper()
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endpoint_str = endpoint_format.value if isinstance(endpoint_format, APIFormat) else str(endpoint_format).upper()
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# 完全相同
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if client_str == endpoint_str:
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return True
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# 检查 data_format_id
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client_data_id = get_data_format_id(client_format)
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endpoint_data_id = get_data_format_id(endpoint_format)
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return client_data_id == endpoint_data_id
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@lru_cache(maxsize=1)
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def _alias_lookup_cache() -> Dict[str, APIFormat]:
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"""缓存 alias -> APIFormat 查找表,减少重复构建。"""
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