refactor: 重构异步任务系统和计费服务架构

- 重构任务系统:新增 lifecycle (TaskStatus/BillingStatus)、context、application 模块
- 将 video tasks 泛化为 async tasks,支持更通用的异步任务管理
- 新增 Gemini Files 管理模块和管理界面
- 重构 billing 服务:拆分 schema.py 和 service.py
- 新增 candidate 服务模块用于请求候选管理
- 数据库迁移:添加 billing_status、request_id、gemini_file_mappings 表和索引
- 移除废弃的 video_telemetry、task orchestrator 等模块
This commit is contained in:
fawney19
2026-02-02 03:16:52 +08:00
parent feb7484fda
commit 9e31efe26c
75 changed files with 7511 additions and 2068 deletions

View File

@@ -79,10 +79,8 @@ class VideoAdapterBase(ApiAdapter):
path_params=path_params,
)
# Cancel task
if method in {"DELETE", "POST"} and (
path.endswith("/cancel") or path_params.get("action") == "cancel"
):
# Cancel task (POST /videos/{id}/cancel or explicit action=cancel)
if (method == "POST" and path.endswith("/cancel")) or path_params.get("action") == "cancel":
if not task_id:
raise HTTPException(
status_code=400, detail="Task ID is required for cancel operation"
@@ -95,6 +93,16 @@ class VideoAdapterBase(ApiAdapter):
path_params=path_params,
)
# Delete task (DELETE /videos/{id})
if method == "DELETE" and task_id:
return await handler.handle_delete_task(
task_id=task_id,
http_request=http_request,
original_headers=context.original_headers,
query_params=context.query_params,
path_params=path_params,
)
# Remix task
if method == "POST" and path.endswith("/remix") and task_id:
return await handler.handle_remix_task(

View File

@@ -26,7 +26,7 @@ from src.services.cache.aware_scheduler import ProviderCandidate
if TYPE_CHECKING:
import httpx
from src.services.task.orchestrator import SubmitOutcome
from src.services.candidate.submit import SubmitOutcome
# 敏感信息匹配正则(预编译提升性能)
_SENSITIVE_PATTERN = re.compile(
@@ -53,21 +53,39 @@ def sanitize_error_message(message: str, max_length: int = 200) -> str:
return sanitized[:max_length]
def extract_short_id_from_operation(operation_id: str) -> str:
"""
从 operation ID 中提取短 ID
我们对外暴露的 operation name 格式是:
- models/{model}/operations/{short_id}
此函数提取最后一部分作为 short_id用于在数据库中查找任务。
Args:
operation_id: 原始 operation ID"models/veo-3.1/operations/abc123"
Returns:
short_id"abc123"
"""
# 格式: models/{model}/operations/{short_id}
# 或者直接是 short_id
if "/" in operation_id:
# 提取最后一部分
return operation_id.rsplit("/", 1)[-1]
return operation_id
def normalize_gemini_operation_id(operation_id: str) -> str:
"""
规范化 Gemini operation ID,确保以 "operations/" 开头
Gemini API 返回的任务 ID 格式可能是 "operations/xxx""xxx"
此函数统一规范化为 "operations/xxx" 格式。
规范化 Gemini operation ID(保留用于向后兼容)
Args:
operation_id: 原始 operation ID
Returns:
规范化后的 operation ID
规范化后的 operation ID(原样返回)
"""
if not operation_id.startswith("operations/"):
return f"operations/{operation_id}"
return operation_id
@@ -143,6 +161,18 @@ class VideoHandlerBase(ABC):
) -> JSONResponse:
"""取消任务"""
async def handle_delete_task(
self,
*,
task_id: str,
http_request: Request,
original_headers: dict[str, str],
query_params: dict[str, str] | None = None,
path_params: dict[str, Any] | None = None,
) -> JSONResponse:
"""删除已完成或失败的视频任务 - 可选实现"""
raise HTTPException(status_code=501, detail="Delete not supported for this provider")
async def handle_remix_task(
self,
*,
@@ -205,6 +235,7 @@ class VideoHandlerBase(ABC):
}
def _get_task(self, task_id: str) -> VideoTask:
"""通过 UUID 查找任务OpenAI Sora 风格)"""
task = (
self.db.query(VideoTask)
.filter(VideoTask.id == task_id, VideoTask.user_id == self.user.id)
@@ -229,7 +260,7 @@ class VideoHandlerBase(ABC):
except ValueError:
status = VideoStatus.PENDING
return InternalVideoTask(
id=task.id,
id=task.id, # OpenAI Sora 使用 UUID
external_id=task.external_task_id,
status=status,
progress_percent=task.progress_percent or 0,
@@ -243,6 +274,52 @@ class VideoHandlerBase(ABC):
extra={"model": task.model},
)
def _finalize_usage_on_submit_failure(
self,
candidate_keys: list[dict[str, Any]],
status_code: int | None,
) -> None:
"""
提交失败时结算 pending usage避免遗留 pending 状态)。
从 candidate_keys 中提取最后尝试的 provider 信息,更新 Usage 记录。
"""
from src.services.usage.service import UsageService
# 提取 provider 信息:优先取最后一个有 attempt 的候选
provider_name = "unknown"
provider_id = None
endpoint_id = None
key_id = None
for ck in reversed(candidate_keys):
if ck.get("attempt_status") or ck.get("selected"):
provider_name = ck.get("provider_name") or "unknown"
provider_id = ck.get("provider_id")
endpoint_id = ck.get("endpoint_id")
key_id = ck.get("key_id")
break
try:
# 更新 usage 状态并设置 provider 信息
UsageService.update_usage_status(
self.db,
request_id=self.request_id,
status="failed",
error_message=f"submit_failed (status_code={status_code or 'unknown'})",
provider=provider_name,
provider_id=provider_id,
provider_endpoint_id=endpoint_id,
provider_api_key_id=key_id,
status_code=status_code,
)
except Exception as exc:
logger.warning(
"Failed to finalize usage on submit failure: request_id=%s, error=%s",
self.request_id,
sanitize_error_message(str(exc)),
)
def _build_billing_rule_snapshot(
self, rule_lookup: BillingRuleLookupResult | None
) -> dict[str, Any]:
@@ -290,16 +367,16 @@ class VideoHandlerBase(ABC):
- 无可用候选 / 全部失败:抛 HTTPException(503)
"""
# 延迟导入,避免 handler 基类层引入过多依赖导致循环
from src.services.task.orchestrator import (
from src.services.candidate.service import CandidateService
from src.services.candidate.submit import (
AllCandidatesFailedError,
AsyncTaskOrchestrator,
SubmitOutcome,
UpstreamClientRequestError,
)
orchestrator = AsyncTaskOrchestrator(self.db)
candidate_service = CandidateService(self.db)
try:
return await orchestrator.submit_with_failover(
return await candidate_service.submit_with_failover(
api_format=api_format,
model_name=model_name,
affinity_key=str(self.api_key.id),
@@ -314,8 +391,12 @@ class VideoHandlerBase(ABC):
max_candidates=max_candidates,
)
except UpstreamClientRequestError as exc:
# 将 pending usage 结算为 failed并记录 provider 信息
self._finalize_usage_on_submit_failure(exc.candidate_keys, exc.response.status_code)
return self._build_error_response(exc.response)
except AllCandidatesFailedError as exc:
# 将 pending usage 结算为 failed
self._finalize_usage_on_submit_failure(exc.candidate_keys, exc.last_status_code)
detail = "No available provider for video generation"
if config.billing_require_rule:
detail = "No available provider with billing rule for video generation"

View File

@@ -18,7 +18,6 @@ from src.core.api_format import ApiFamily, get_auth_handler
from src.core.api_format.enums import AuthMethod
from src.core.logger import logger
from src.models.gemini import GeminiRequest
from src.services.gemini_files_mapping import extract_file_names_from_request
from src.services.provider.transport import redact_url_for_log
@@ -63,11 +62,9 @@ class GeminiChatAdapter(ChatAdapterBase):
def detect_capability_requirements(
self,
headers: dict[str, str], # noqa: ARG002 - 预留
request_body: dict[str, Any] | None = None,
request_body: dict[str, Any] | None = None, # noqa: ARG002 - 预留
) -> dict[str, bool]:
"""检测是否需要 Gemini Files API 能力"""
if request_body and extract_file_names_from_request(request_body):
return {"gemini_files_api": True}
"""Gemini API 无特殊能力要求"""
return {}
def _merge_path_params(

View File

@@ -40,28 +40,31 @@ class GeminiChatHandler(ChatHandlerBase):
Gemini 文件与上传它的 API Key 绑定,必须使用同一 Key 访问。
此方法从缓存中查找文件→Key 映射,优先使用正确的 Key。
当同一源文件被上传到多个 Key 时,会返回所有可用的 Key ID
让系统能够选择任意可用的 Key。
注意事项:
- 如果映射缺失(缓存过期/重启),会记录警告,请求可能失败
- 如果多个文件属于不同 Key只能使用其中一个其他文件可能无法访问
- 优先返回所有支持该文件的 Key让调度器选择可用的
"""
from src.core.logger import logger
from src.services.gemini_files_mapping import (
extract_file_names_from_request,
get_file_key_mapping,
get_all_key_ids_for_file,
)
file_names = extract_file_names_from_request(request_body or {})
if not file_names:
return None
preferred_key_ids: list[str] = []
unmapped_files: list[str] = [] # 记录找不到映射的文件
all_key_ids: set[str] = set()
unmapped_files: list[str] = []
for file_name in file_names:
key_id = await get_file_key_mapping(file_name)
if key_id:
if key_id not in preferred_key_ids:
preferred_key_ids.append(key_id)
# 获取所有支持该文件的 Key包括通过 source_hash 关联的)
key_ids = await get_all_key_ids_for_file(file_name)
if key_ids:
all_key_ids.update(key_ids)
else:
unmapped_files.append(file_name)
@@ -72,14 +75,10 @@ class GeminiChatHandler(ChatHandlerBase):
"请求可能失败(文件属于其他 Key 或映射已过期)"
)
# 警告:多个文件属于不同 Key
if len(preferred_key_ids) > 1:
logger.warning(
f"[{self.request_id}] 请求使用了多个文件,但它们属于不同的 Key: "
f"{preferred_key_ids},只能使用第一个 Key其他文件可能无法访问"
)
if all_key_ids:
logger.debug(f"[{self.request_id}] 文件引用可用的 Key: {list(all_key_ids)}")
return preferred_key_ids or None
return list(all_key_ids) if all_key_ids else None
def extract_model_from_request(
self,

View File

@@ -4,6 +4,7 @@ Gemini Video Handler - Veo 视频生成实现
from __future__ import annotations
import time
from datetime import datetime, timedelta, timezone
from typing import Any, AsyncIterator
from uuid import uuid4
@@ -34,12 +35,14 @@ from src.core.api_format.conversion.internal_video import (
VideoStatus,
)
from src.core.api_format.conversion.normalizers.gemini import GeminiNormalizer
from src.core.api_format.conversion.registry import format_conversion_registry
from src.core.api_format.headers import HOP_BY_HOP_HEADERS
from src.core.crypto import crypto_service
from src.core.logger import logger
from src.models.database import ApiKey, ProviderAPIKey, ProviderEndpoint, User, VideoTask
from src.services.billing.rule_service import BillingRuleLookupResult, BillingRuleService
from src.services.cache.aware_scheduler import ProviderCandidate
from src.services.usage.service import UsageService
class GeminiVeoHandler(VideoHandlerBase):
@@ -92,20 +95,93 @@ class GeminiVeoHandler(VideoHandlerBase):
except ValueError as e:
raise HTTPException(status_code=400, detail=str(e))
# 异步任务:提前创建 pending usage便于前端看到“处理中”
try:
UsageService.create_pending_usage(
db=self.db,
request_id=self.request_id,
user=self.user,
api_key=self.api_key,
model=internal_request.model,
is_stream=False,
request_type="video",
api_format=self.FORMAT_ID,
request_headers=original_headers,
request_body=original_request_body,
)
except Exception as exc:
logger.warning(
"Failed to create pending usage for video request_id=%s: %s",
self.request_id,
sanitize_error_message(str(exc)),
)
# 用于跟踪是否发生了格式转换
format_conversion_info: dict[str, Any] = {
"converted": False,
"provider_format": None,
}
async def _submit(candidate: ProviderCandidate) -> Any:
upstream_key, endpoint, _key, auth_info = await self._resolve_upstream_key(candidate)
upstream_url = self._build_upstream_url(endpoint.base_url, internal_request.model)
headers = self._build_upstream_headers(
original_headers, upstream_key, endpoint, auth_info
# 检测目标格式
provider_format = make_signature_key(
str(getattr(endpoint, "api_family", "")).strip().lower(),
str(getattr(endpoint, "endpoint_kind", "")).strip().lower(),
)
client = await HTTPClientPool.get_default_client_async()
return await client.post(upstream_url, headers=headers, json=original_request_body)
needs_conversion = provider_format.upper() != self.FORMAT_ID.upper()
format_conversion_info["provider_format"] = provider_format
format_conversion_info["converted"] = needs_conversion
if needs_conversion and provider_format.upper().startswith("OPENAI:"):
# Gemini -> OpenAI 格式转换
converted_body = format_conversion_registry.convert_video_request(
original_request_body,
self.FORMAT_ID,
provider_format,
)
# 确保 seconds 字段为字符串类型(上游 Go 服务要求 string
if "seconds" in converted_body and converted_body["seconds"] is not None:
converted_body["seconds"] = str(converted_body["seconds"])
# 构建 OpenAI 风格的 URL
upstream_url = self._build_openai_upstream_url(endpoint.base_url)
# 构建 OpenAI 风格的请求头
headers = self._build_openai_upstream_headers(
original_headers, upstream_key, endpoint
)
client = await HTTPClientPool.get_default_client_async()
return await client.post(upstream_url, headers=headers, json=converted_body)
else:
# 原始 Gemini 格式
upstream_url = self._build_upstream_url(endpoint.base_url, internal_request.model)
headers = self._build_upstream_headers(
original_headers, upstream_key, endpoint, auth_info
)
client = await HTTPClientPool.get_default_client_async()
return await client.post(upstream_url, headers=headers, json=original_request_body)
def _extract_task_id(payload: dict[str, Any]) -> str | None:
value = payload.get("name")
if not value:
return None
return normalize_gemini_operation_id(str(value))
# 根据响应格式提取 task ID
# Gemini: {"name": "operations/..."}
# OpenAI: {"id": "..."}
if "name" in payload:
value = payload.get("name")
logger.debug(
"[GeminiVeoHandler] Upstream response name=%s, keys=%s",
value,
list(payload.keys()) if isinstance(payload, dict) else type(payload),
)
if not value:
return None
return normalize_gemini_operation_id(str(value))
if "id" in payload:
# OpenAI 格式
return str(payload["id"])
return None
outcome_or_response = await self._submit_with_failover(
api_format=self.FORMAT_ID,
@@ -114,7 +190,7 @@ class GeminiVeoHandler(VideoHandlerBase):
submit_func=_submit,
extract_external_task_id=_extract_task_id,
supported_auth_types={"api_key", "vertex_ai"},
allow_format_conversion=False,
allow_format_conversion=True,
max_candidates=10,
)
if isinstance(outcome_or_response, JSONResponse):
@@ -135,35 +211,92 @@ class GeminiVeoHandler(VideoHandlerBase):
external_task_id = outcome.external_task_id
# 如果发生了格式转换,记录转换后的请求体
converted_request_body = original_request_body
if format_conversion_info["converted"]:
try:
converted_request_body = format_conversion_registry.convert_video_request(
original_request_body,
self.FORMAT_ID,
format_conversion_info["provider_format"],
)
except Exception as e:
logger.warning(
"[GeminiVeoHandler] Failed to record converted request: %s",
sanitize_error_message(str(e)),
)
task = self._create_task_record(
external_task_id=external_task_id,
candidate=outcome.candidate,
original_request_body=original_request_body,
converted_request_body=converted_request_body,
internal_request=internal_request,
candidate_keys=outcome.candidate_keys,
original_headers=original_headers,
billing_rule_snapshot=billing_rule_snapshot,
format_converted=format_conversion_info["converted"],
)
try:
self.db.add(task)
self.db.flush() # 先 flush 检测冲突
self.db.commit()
self.db.refresh(task)
logger.info(
f"[GeminiVeoHandler] Task created: id={task.id}, external_task_id={task.external_task_id}, user_id={task.user_id}"
logger.debug(
"[GeminiVeoHandler] Task created: id=%s, external_task_id=%s",
task.id,
task.external_task_id,
)
except IntegrityError:
self.db.rollback()
raise HTTPException(status_code=409, detail="Task already exists")
# 先构建返回给客户端的响应(使用短 ID 对外暴露)
internal_task = InternalVideoTask(
id=task.id,
id=task.short_id,
external_id=external_task_id,
status=VideoStatus.SUBMITTED,
created_at=task.created_at,
original_request=internal_request,
)
response_body = self._normalizer.video_task_from_internal(internal_task)
# 提交成功后立即结算 Usage费用暂时为 0轮询完成后更新
response_time_ms = int((time.time() - self.start_time) * 1000)
try:
# 构建发送给上游的请求头(脱敏)
upstream_request_headers = self._build_upstream_headers(
original_headers,
"", # key 不重要,只是用于记录
outcome.candidate.endpoint,
None, # auth_info
)
UsageService.finalize_submitted(
self.db,
request_id=self.request_id,
provider_name=outcome.candidate.provider.name,
provider_id=outcome.candidate.provider.id,
provider_endpoint_id=outcome.candidate.endpoint.id,
provider_api_key_id=outcome.candidate.key.id,
response_time_ms=response_time_ms,
status_code=outcome.upstream_status_code or 200,
endpoint_api_format=make_signature_key(
str(getattr(outcome.candidate.endpoint, "api_family", "")).strip().lower(),
str(getattr(outcome.candidate.endpoint, "endpoint_kind", "")).strip().lower(),
),
provider_request_headers=upstream_request_headers,
response_headers=outcome.upstream_headers,
response_body=response_body, # 使用我们转换后的响应(包含我们的 ID
)
self.db.commit()
except Exception as exc:
logger.warning(
"Failed to finalize submitted usage for video request_id=%s: %s",
self.request_id,
sanitize_error_message(str(exc)),
)
return JSONResponse(response_body)
async def handle_get_task(
@@ -234,6 +367,28 @@ class GeminiVeoHandler(VideoHandlerBase):
task.status = VideoStatus.CANCELLED.value
task.updated_at = datetime.now(timezone.utc)
# 将 Usage 作废(不收费)
# 尝试 finalize_void处理 pending和 void_settled处理已 settled
try:
voided = UsageService.finalize_void(
self.db,
request_id=task.request_id,
reason="cancelled_by_user",
)
if not voided:
# pending 状态未找到,尝试处理已 settled 的记录
UsageService.void_settled(
self.db,
request_id=task.request_id,
reason="cancelled_by_user",
)
except Exception as exc:
logger.warning(
"Failed to void usage for cancelled task=%s: %s",
task.id,
sanitize_error_message(str(exc)),
)
self.db.commit()
return JSONResponse({})
@@ -275,12 +430,38 @@ class GeminiVeoHandler(VideoHandlerBase):
if task.video_expires_at < now:
raise HTTPException(status_code=410, detail="Video URL has expired")
# 获取 provider 的认证信息Gemini 下载视频需要带 API Key
endpoint, key = self._get_endpoint_and_key(task)
download_headers: dict[str, str] = {}
if key.api_key:
try:
upstream_key = crypto_service.decrypt(key.api_key)
# Gemini API 使用 x-goog-api-key 头进行认证
download_headers["x-goog-api-key"] = upstream_key
# 如果是 Vertex AI需要使用 OAuth Bearer token
auth_info = await get_provider_auth(endpoint, key)
if auth_info:
download_headers.pop("x-goog-api-key", None)
download_headers[auth_info.auth_header] = auth_info.auth_value
except Exception as exc:
logger.warning(
"[VideoDownload] Failed to get auth for download task=%s: %s",
task.id,
sanitize_error_message(str(exc)),
)
# 继续尝试无认证下载(某些 URL 可能是预签名的)
# 代理下载而非直接重定向,避免暴露上游存储 URL
client = await HTTPClientPool.get_default_client_async()
# 使用 httpx 支持重定向Gemini 视频 URL 会重定向到实际存储位置)
import httpx
try:
request = client.build_request("GET", task.video_url)
# 视频下载可能较大,设置 5 分钟超时
response = await client.send(request, stream=True, timeout=300.0)
# 使用 follow_redirects=True 跟随重定向
async with httpx.AsyncClient(
follow_redirects=True, timeout=httpx.Timeout(300.0)
) as client:
response = await client.get(task.video_url, headers=download_headers)
except Exception as exc:
logger.error(
"[VideoDownload] Upstream fetch failed user=%s task=%s: %s",
@@ -291,21 +472,14 @@ class GeminiVeoHandler(VideoHandlerBase):
raise HTTPException(status_code=502, detail="Failed to fetch video")
if response.status_code >= 400:
await response.aclose()
raise HTTPException(status_code=response.status_code, detail="Upstream error")
async def _iter_bytes() -> AsyncIterator[bytes]:
try:
async for chunk in response.aiter_bytes():
yield chunk
finally:
await response.aclose()
# 返回完整的视频内容(非 streaming因为需要跟随重定向
safe_headers = {
k: v for k, v in response.headers.items() if k.lower() not in HOP_BY_HOP_HEADERS
}
return StreamingResponse(
_iter_bytes(),
return Response(
content=response.content,
status_code=response.status_code,
headers=safe_headers,
media_type=response.headers.get("content-type", "video/mp4"),
@@ -375,6 +549,36 @@ class GeminiVeoHandler(VideoHandlerBase):
"status": error.get("status", "BAD_GATEWAY"),
}
# ------------------------------------------------------------------
# OpenAI format conversion helpers
# ------------------------------------------------------------------
def _build_openai_upstream_url(self, base_url: str | None) -> str:
"""构建 OpenAI Sora API 的上游 URL"""
base = (base_url or "https://api.openai.com").rstrip("/")
if base.endswith("/v1"):
return f"{base}/videos"
return f"{base}/v1/videos"
def _build_openai_upstream_headers(
self,
original_headers: dict[str, str],
upstream_key: str,
endpoint: ProviderEndpoint,
) -> dict[str, str]:
"""构建 OpenAI 格式的请求头"""
extra_headers = get_extra_headers_from_endpoint(endpoint)
endpoint_sig = make_signature_key(
str(getattr(endpoint, "api_family", "")).strip().lower(),
str(getattr(endpoint, "endpoint_kind", "")).strip().lower(),
)
return build_upstream_headers_for_endpoint(
original_headers,
endpoint_sig,
upstream_key,
endpoint_headers=extra_headers,
)
def _create_task_record(
self,
*,
@@ -385,6 +589,8 @@ class GeminiVeoHandler(VideoHandlerBase):
candidate_keys: list[dict[str, Any]] | None = None,
original_headers: dict[str, str] | None = None,
billing_rule_snapshot: dict[str, Any] | None = None,
converted_request_body: dict[str, Any] | None = None,
format_converted: bool = False,
) -> VideoTask:
now = datetime.now(timezone.utc)
@@ -407,8 +613,14 @@ class GeminiVeoHandler(VideoHandlerBase):
}
request_metadata["request_headers"] = safe_headers
provider_api_format = make_signature_key(
str(getattr(candidate.endpoint, "api_family", "")).strip().lower(),
str(getattr(candidate.endpoint, "endpoint_kind", "")).strip().lower(),
)
return VideoTask(
id=str(uuid4()),
request_id=self.request_id,
external_task_id=external_task_id,
user_id=self.user.id,
api_key_id=self.api_key.id,
@@ -416,15 +628,12 @@ class GeminiVeoHandler(VideoHandlerBase):
endpoint_id=candidate.endpoint.id,
key_id=candidate.key.id,
client_api_format=self.FORMAT_ID,
provider_api_format=make_signature_key(
str(getattr(candidate.endpoint, "api_family", "")).strip().lower(),
str(getattr(candidate.endpoint, "endpoint_kind", "")).strip().lower(),
),
format_converted=False,
provider_api_format=provider_api_format,
format_converted=format_converted,
model=internal_request.model,
prompt=internal_request.prompt,
original_request_body=original_request_body,
converted_request_body=original_request_body,
converted_request_body=converted_request_body or original_request_body,
duration_seconds=internal_request.duration_seconds,
resolution=internal_request.resolution,
aspect_ratio=internal_request.aspect_ratio,
@@ -438,30 +647,45 @@ class GeminiVeoHandler(VideoHandlerBase):
request_metadata=request_metadata,
)
def _get_task_by_external_id(self, external_id: str) -> VideoTask:
"""按 external_task_id 查找任务Gemini 使用 operations/{id} 格式)"""
normalized_id = normalize_gemini_operation_id(external_id)
logger.info(
f"[GeminiVeoHandler] Looking for task: normalized_id={normalized_id}, user_id={self.user.id}"
def _task_to_internal(self, task: VideoTask) -> InternalVideoTask:
"""覆盖父类方法Gemini 使用 short_id 作为对外暴露的 ID"""
try:
status = VideoStatus(task.status)
except ValueError:
status = VideoStatus.PENDING
return InternalVideoTask(
id=task.short_id, # Gemini 使用短 ID
external_id=task.external_task_id,
status=status,
progress_percent=task.progress_percent or 0,
progress_message=task.progress_message,
video_url=task.video_url,
video_urls=task.video_urls or [],
created_at=task.created_at,
completed_at=task.completed_at,
error_code=task.error_code,
error_message=task.error_message,
extra={"model": task.model},
)
def _get_task_by_external_id(self, external_id: str) -> VideoTask:
"""按 short_id 查找任务(我们对外暴露的 operation 格式是 models/{model}/operations/{short_id}"""
from src.api.handlers.base.video_handler_base import extract_short_id_from_operation
short_id = extract_short_id_from_operation(external_id)
# 通过 short_id 查找任务
task = (
self.db.query(VideoTask)
.filter(
VideoTask.external_task_id == normalized_id,
VideoTask.short_id == short_id,
VideoTask.user_id == self.user.id,
)
.first()
)
if not task:
logger.warning(
f"[GeminiVeoHandler] Task not found: normalized_id={normalized_id}, user_id={self.user.id}"
)
logger.debug("[GeminiVeoHandler] Task not found: short_id=%s", short_id)
raise HTTPException(status_code=404, detail="Video task not found")
logger.info(
f"[GeminiVeoHandler] Task found: id={task.id}, external_task_id={task.external_task_id}"
)
return task

View File

@@ -5,6 +5,7 @@ OpenAI Video Handler - Sora 视频生成实现
from __future__ import annotations
import json
import time
from datetime import datetime, timedelta, timezone
from typing import Any, AsyncIterator
from uuid import uuid4
@@ -14,6 +15,7 @@ from fastapi.responses import JSONResponse, Response, StreamingResponse
from sqlalchemy.exc import IntegrityError
from sqlalchemy.orm import Session
from src.api.handlers.base.request_builder import get_provider_auth
from src.api.handlers.base.video_handler_base import VideoHandlerBase, sanitize_error_message
from src.clients.http_client import HTTPClientPool
from src.config.settings import config
@@ -30,6 +32,7 @@ from src.core.api_format.conversion.internal_video import (
VideoStatus,
)
from src.core.api_format.conversion.normalizers.openai import OpenAINormalizer
from src.core.api_format.conversion.registry import format_conversion_registry
from src.core.api_format.headers import HOP_BY_HOP_HEADERS
from src.core.crypto import crypto_service
from src.core.logger import logger
@@ -91,16 +94,91 @@ class OpenAIVideoHandler(VideoHandlerBase):
)
raise HTTPException(status_code=400, detail=str(e))
# 异步任务:提前创建 pending usage便于前端看到“处理中”
try:
UsageService.create_pending_usage(
db=self.db,
request_id=self.request_id,
user=self.user,
api_key=self.api_key,
model=internal_request.model,
is_stream=False,
request_type="video",
api_format=self.FORMAT_ID,
request_headers=original_headers,
request_body=original_request_body,
)
except Exception as exc:
logger.warning(
"Failed to create pending usage for video request_id=%s: %s",
self.request_id,
sanitize_error_message(str(exc)),
)
# 用于跟踪是否发生了格式转换
format_conversion_info: dict[str, Any] = {
"converted": False,
"provider_format": None,
}
async def _submit(candidate: ProviderCandidate) -> Any:
upstream_key, endpoint, _provider_key = await self._resolve_upstream_key(candidate)
upstream_url = self._build_upstream_url(endpoint.base_url)
headers = self._build_upstream_headers(original_headers, upstream_key, endpoint)
client = await HTTPClientPool.get_default_client_async()
return await client.post(upstream_url, headers=headers, json=original_request_body)
# 检测目标格式
provider_format = make_signature_key(
str(getattr(endpoint, "api_family", "")).strip().lower(),
str(getattr(endpoint, "endpoint_kind", "")).strip().lower(),
)
needs_conversion = provider_format.upper() != self.FORMAT_ID.upper()
format_conversion_info["provider_format"] = provider_format
format_conversion_info["converted"] = needs_conversion
# 确保 seconds 字段为字符串类型(上游 Go 服务要求 string
request_body = original_request_body.copy()
if "seconds" in request_body and request_body["seconds"] is not None:
request_body["seconds"] = str(request_body["seconds"])
if needs_conversion and provider_format.upper().startswith("GEMINI:"):
# OpenAI -> Gemini 格式转换
converted_body = format_conversion_registry.convert_video_request(
request_body,
self.FORMAT_ID,
provider_format,
)
# 如果 model 不在请求体中,从路径或内部请求中获取
if "model" not in converted_body:
converted_body["model"] = internal_request.model
# 构建 Gemini 风格的 URL
upstream_url = self._build_gemini_upstream_url(
endpoint.base_url, internal_request.model
)
# 构建 Gemini 风格的请求头
auth_info = await get_provider_auth(endpoint, _provider_key)
headers = self._build_gemini_upstream_headers(
original_headers, upstream_key, endpoint, auth_info
)
client = await HTTPClientPool.get_default_client_async()
return await client.post(upstream_url, headers=headers, json=converted_body)
else:
# 原始 OpenAI 格式
upstream_url = self._build_upstream_url(endpoint.base_url)
headers = self._build_upstream_headers(original_headers, upstream_key, endpoint)
client = await HTTPClientPool.get_default_client_async()
return await client.post(upstream_url, headers=headers, json=request_body)
def _extract_task_id(payload: dict[str, Any]) -> str | None:
value = payload.get("id")
return str(value) if value else None
# 根据响应格式提取 task ID
# OpenAI: {"id": "..."}
# Gemini: {"name": "operations/..."}
if "id" in payload:
return str(payload["id"])
if "name" in payload:
# Gemini 格式
return str(payload["name"])
return None
# 捕获提交阶段的所有错误,记录失败任务
try:
@@ -110,8 +188,8 @@ class OpenAIVideoHandler(VideoHandlerBase):
task_type="video",
submit_func=_submit,
extract_external_task_id=_extract_task_id,
supported_auth_types={"api_key"},
allow_format_conversion=False,
supported_auth_types={"api_key", "vertex_ai"},
allow_format_conversion=True,
max_candidates=10,
)
except HTTPException as exc:
@@ -156,14 +234,31 @@ class OpenAIVideoHandler(VideoHandlerBase):
external_task_id = outcome.external_task_id
# 如果发生了格式转换,记录转换后的请求体
converted_request_body = original_request_body
if format_conversion_info["converted"]:
try:
converted_request_body = format_conversion_registry.convert_video_request(
original_request_body,
self.FORMAT_ID,
format_conversion_info["provider_format"],
)
except Exception as e:
logger.warning(
"[OpenAIVideoHandler] Failed to record converted request: %s",
sanitize_error_message(str(e)),
)
task = self._create_task_record(
external_task_id=external_task_id,
candidate=outcome.candidate,
original_request_body=original_request_body,
converted_request_body=converted_request_body,
internal_request=internal_request,
candidate_keys=outcome.candidate_keys,
original_headers=original_headers,
billing_rule_snapshot=billing_rule_snapshot,
format_converted=format_conversion_info["converted"],
)
try:
self.db.add(task)
@@ -174,6 +269,7 @@ class OpenAIVideoHandler(VideoHandlerBase):
self.db.rollback()
raise HTTPException(status_code=409, detail="Task already exists")
# 先构建返回给客户端的响应OpenAI Sora 使用 UUID
internal_task = InternalVideoTask(
id=task.id,
external_id=external_task_id,
@@ -182,6 +278,42 @@ class OpenAIVideoHandler(VideoHandlerBase):
original_request=internal_request,
)
response_body = self._normalizer.video_task_from_internal(internal_task)
# 提交成功后立即结算 Usage费用暂时为 0轮询完成后更新
response_time_ms = int((time.time() - self.start_time) * 1000)
try:
# 构建发送给上游的请求头(脱敏)
upstream_request_headers = self._build_upstream_headers(
original_headers,
"", # key 不重要,只是用于记录
outcome.candidate.endpoint,
)
UsageService.finalize_submitted(
self.db,
request_id=self.request_id,
provider_name=outcome.candidate.provider.name,
provider_id=outcome.candidate.provider.id,
provider_endpoint_id=outcome.candidate.endpoint.id,
provider_api_key_id=outcome.candidate.key.id,
response_time_ms=response_time_ms,
status_code=outcome.upstream_status_code or 200,
endpoint_api_format=make_signature_key(
str(getattr(outcome.candidate.endpoint, "api_family", "")).strip().lower(),
str(getattr(outcome.candidate.endpoint, "endpoint_kind", "")).strip().lower(),
),
provider_request_headers=upstream_request_headers,
response_headers=outcome.upstream_headers,
response_body=response_body, # 使用我们转换后的响应(包含我们的 ID
)
self.db.commit()
except Exception as exc:
logger.warning(
"Failed to finalize submitted usage for video request_id=%s: %s",
self.request_id,
sanitize_error_message(str(exc)),
)
return JSONResponse(response_body)
async def handle_get_task(
@@ -206,17 +338,59 @@ class OpenAIVideoHandler(VideoHandlerBase):
query_params: dict[str, str] | None = None,
path_params: dict[str, Any] | None = None,
) -> JSONResponse:
tasks = (
self.db.query(VideoTask)
.filter(VideoTask.user_id == self.user.id)
.order_by(VideoTask.created_at.desc())
.limit(100)
.all()
)
params = query_params or {}
# 解析分页参数
after = params.get("after")
try:
limit = min(int(params.get("limit") or 20), 100) # 默认 20最大 100
except (ValueError, TypeError):
limit = 20
order = params.get("order", "desc").lower()
if order not in ("asc", "desc"):
order = "desc"
# 构建查询
query = self.db.query(VideoTask).filter(VideoTask.user_id == self.user.id)
# 处理游标分页after 参数使用 UUID
if after:
after_task = (
self.db.query(VideoTask)
.filter(VideoTask.id == after, VideoTask.user_id == self.user.id)
.first()
)
if after_task and after_task.created_at:
if order == "desc":
query = query.filter(VideoTask.created_at < after_task.created_at)
else:
query = query.filter(VideoTask.created_at > after_task.created_at)
# 排序
if order == "asc":
query = query.order_by(VideoTask.created_at.asc())
else:
query = query.order_by(VideoTask.created_at.desc())
# 获取 limit + 1 条记录以判断是否有更多数据
tasks = query.limit(limit + 1).all()
has_more = len(tasks) > limit
tasks = tasks[:limit]
items = [
self._normalizer.video_task_from_internal(self._task_to_internal(t)) for t in tasks
]
return JSONResponse({"object": "list", "data": items})
response_data: dict[str, Any] = {
"object": "list",
"data": items,
"has_more": has_more,
}
# 如果有更多数据,返回最后一条的 ID 作为下一页游标
if has_more and tasks:
response_data["last_id"] = tasks[-1].id
return JSONResponse(response_data)
async def handle_cancel_task(
self,
@@ -245,9 +419,80 @@ class OpenAIVideoHandler(VideoHandlerBase):
task.status = VideoStatus.CANCELLED.value
task.updated_at = datetime.now(timezone.utc)
# 将 Usage 作废(不收费)
# 尝试 finalize_void处理 pending和 void_settled处理已 settled
try:
voided = UsageService.finalize_void(
self.db,
request_id=task.request_id,
reason="cancelled_by_user",
)
if not voided:
# pending 状态未找到,尝试处理已 settled 的记录
UsageService.void_settled(
self.db,
request_id=task.request_id,
reason="cancelled_by_user",
)
except Exception as exc:
logger.warning(
"Failed to void usage for cancelled task=%s: %s",
task.id,
sanitize_error_message(str(exc)),
)
self.db.commit()
return JSONResponse({})
async def handle_delete_task(
self,
*,
task_id: str,
http_request: Request,
original_headers: dict[str, str],
query_params: dict[str, str] | None = None,
path_params: dict[str, Any] | None = None,
) -> JSONResponse:
"""删除已完成或失败的视频及其存储资源"""
task = self._get_task(task_id)
# 只能删除已完成或失败的视频
if task.status not in (VideoStatus.COMPLETED.value, VideoStatus.FAILED.value):
raise HTTPException(
status_code=400,
detail=f"Can only delete completed or failed videos (current status: {task.status})",
)
# 如果有 external_task_id向上游发送删除请求
if task.external_task_id:
try:
endpoint, key = self._get_endpoint_and_key(task)
if key.api_key:
upstream_key = crypto_service.decrypt(key.api_key)
upstream_url = self._build_upstream_url(
endpoint.base_url, task.external_task_id
)
headers = self._build_upstream_headers(original_headers, upstream_key, endpoint)
client = await HTTPClientPool.get_default_client_async()
response = await client.delete(upstream_url, headers=headers)
if response.status_code >= 400 and response.status_code != 404:
# 404 表示上游已删除,不算错误
return self._build_error_response(response)
except Exception as exc:
logger.warning(
"Failed to delete video from upstream task=%s: %s",
task.id,
sanitize_error_message(str(exc)),
)
# 继续删除本地记录
# 删除本地任务记录
self.db.delete(task)
self.db.commit()
return JSONResponse({"id": task_id, "object": "video", "deleted": True})
async def handle_remix_task(
self,
*,
@@ -280,8 +525,13 @@ class OpenAIVideoHandler(VideoHandlerBase):
)
headers = self._build_upstream_headers(original_headers, upstream_key, endpoint)
# 确保 seconds 字段为字符串类型(上游 Go 服务要求 string
request_body = original_request_body.copy()
if "seconds" in request_body and request_body["seconds"] is not None:
request_body["seconds"] = str(request_body["seconds"])
client = await HTTPClientPool.get_default_client_async()
response = await client.post(upstream_url, headers=headers, json=original_request_body)
response = await client.post(upstream_url, headers=headers, json=request_body)
if response.status_code >= 400:
return self._build_error_response(response)
@@ -350,7 +600,7 @@ class OpenAIVideoHandler(VideoHandlerBase):
raise HTTPException(status_code=409, detail="Task already exists")
internal_task = InternalVideoTask(
id=task.id,
id=task.id, # OpenAI Sora 使用 UUID
external_id=external_task_id,
status=VideoStatus.SUBMITTED,
created_at=task.created_at,
@@ -389,15 +639,25 @@ class OpenAIVideoHandler(VideoHandlerBase):
if task.status == VideoStatus.CANCELLED.value:
raise HTTPException(status_code=404, detail="Video task was cancelled")
# 支持 variant 查询参数: video (默认), thumbnail, spritesheet
variant = (query_params or {}).get("variant", "video")
# 如果 video_url 是完整的 HTTP URL直接代理该 URL适用于不支持 /content 端点的上游如 API易
# 保持流式代理而非重定向,确保客户端行为与官方 OpenAI 一致
if variant == "video" and task.video_url and task.video_url.startswith("http"):
logger.debug(
"[VideoDownload] Proxying direct URL task=%s url=%s",
task_id,
task.video_url,
)
return await self._proxy_direct_url(task.video_url, task_id)
if not task.external_task_id:
raise HTTPException(status_code=500, detail="Task missing external_task_id")
endpoint, key = self._get_endpoint_and_key(task)
if not key.api_key:
raise HTTPException(status_code=500, detail="Provider key not configured")
upstream_key = crypto_service.decrypt(key.api_key)
# 支持 variant 查询参数: video (默认), thumbnail, spritesheet
variant = (query_params or {}).get("variant", "video")
if variant not in {"video", "thumbnail", "spritesheet"}:
raise HTTPException(
status_code=400,
@@ -412,6 +672,12 @@ class OpenAIVideoHandler(VideoHandlerBase):
headers = self._build_upstream_headers(original_headers, upstream_key, endpoint)
client = await HTTPClientPool.get_default_client_async()
logger.debug(
"[VideoDownload] Requesting upstream url=%s task=%s external_task_id=%s",
upstream_url,
task_id,
task.external_task_id,
)
try:
# 使用 httpx 的 stream 方法并正确管理上下文
# 视频下载可能较大,设置 5 分钟超时
@@ -419,8 +685,9 @@ class OpenAIVideoHandler(VideoHandlerBase):
response = await client.send(request, stream=True, timeout=300.0)
except Exception as exc:
logger.warning(
"[VideoDownload] Upstream connection failed task=%s: %s",
"[VideoDownload] Upstream connection failed task=%s url=%s: %s",
task_id,
upstream_url,
sanitize_error_message(str(exc)),
)
raise HTTPException(status_code=502, detail="Upstream connection failed") from exc
@@ -483,6 +750,46 @@ class OpenAIVideoHandler(VideoHandlerBase):
raise HTTPException(status_code=500, detail="Failed to decrypt provider key")
return upstream_key, candidate.endpoint, candidate.key
async def _proxy_direct_url(self, url: str, task_id: str) -> Response | StreamingResponse:
"""代理直接的视频 URL如 CDN URL保持与官方 API 一致的流式返回行为"""
client = await HTTPClientPool.get_default_client_async()
try:
request = client.build_request("GET", url)
response = await client.send(request, stream=True, timeout=300.0)
except Exception as exc:
logger.warning(
"[VideoDownload] Direct URL connection failed task=%s url=%s: %s",
task_id,
url,
sanitize_error_message(str(exc)),
)
raise HTTPException(status_code=502, detail="Video download failed") from exc
if response.status_code >= 400:
await response.aread() # consume body before closing
await response.aclose()
return JSONResponse(
status_code=response.status_code,
content={"error": {"type": "upstream_error", "message": "Video not available"}},
)
async def _iter_bytes() -> AsyncIterator[bytes]:
try:
async for chunk in response.aiter_bytes():
yield chunk
finally:
await response.aclose()
safe_headers = {
k: v for k, v in response.headers.items() if k.lower() not in HOP_BY_HOP_HEADERS
}
return StreamingResponse(
_iter_bytes(),
status_code=response.status_code,
headers=safe_headers,
media_type=response.headers.get("content-type", "video/mp4"),
)
def _build_upstream_url(self, base_url: str | None, suffix: str | None = None) -> str:
base = (base_url or self.DEFAULT_BASE_URL).rstrip("/")
if base.endswith("/v1"):
@@ -508,6 +815,42 @@ class OpenAIVideoHandler(VideoHandlerBase):
endpoint_headers=extra_headers,
)
# ------------------------------------------------------------------
# Gemini format conversion helpers
# ------------------------------------------------------------------
def _build_gemini_upstream_url(self, base_url: str | None, model: str) -> str:
"""构建 Gemini Veo API 的上游 URL"""
base = (base_url or "https://generativelanguage.googleapis.com").rstrip("/")
if base.endswith("/v1beta"):
base = base[: -len("/v1beta")]
return f"{base}/v1beta/models/{model}:predictLongRunning"
def _build_gemini_upstream_headers(
self,
original_headers: dict[str, str],
upstream_key: str,
endpoint: ProviderEndpoint,
auth_info: Any | None,
) -> dict[str, str]:
"""构建 Gemini 格式的请求头"""
extra_headers = get_extra_headers_from_endpoint(endpoint)
endpoint_sig = make_signature_key(
str(getattr(endpoint, "api_family", "")).strip().lower(),
str(getattr(endpoint, "endpoint_kind", "")).strip().lower(),
)
headers = build_upstream_headers_for_endpoint(
original_headers,
endpoint_sig,
upstream_key,
endpoint_headers=extra_headers,
)
if auth_info:
# 覆盖为 OAuth2 BearerVertex AI
headers.pop("x-goog-api-key", None)
headers[auth_info.auth_header] = auth_info.auth_value
return headers
# _build_error_response 继承自基类 VideoHandlerBase
def _create_task_record(
@@ -520,6 +863,8 @@ class OpenAIVideoHandler(VideoHandlerBase):
candidate_keys: list[dict[str, Any]] | None = None,
original_headers: dict[str, str] | None = None,
billing_rule_snapshot: dict[str, Any] | None = None,
converted_request_body: dict[str, Any] | None = None,
format_converted: bool = False,
) -> VideoTask:
now = datetime.now(timezone.utc)
size = internal_request.extra.get("original_size")
@@ -543,8 +888,14 @@ class OpenAIVideoHandler(VideoHandlerBase):
}
request_metadata["request_headers"] = safe_headers
provider_api_format = make_signature_key(
str(getattr(candidate.endpoint, "api_family", "")).strip().lower(),
str(getattr(candidate.endpoint, "endpoint_kind", "")).strip().lower(),
)
return VideoTask(
id=str(uuid4()),
request_id=self.request_id,
external_task_id=external_task_id,
user_id=self.user.id,
api_key_id=self.api_key.id,
@@ -552,15 +903,12 @@ class OpenAIVideoHandler(VideoHandlerBase):
endpoint_id=candidate.endpoint.id,
key_id=candidate.key.id,
client_api_format=self.FORMAT_ID,
provider_api_format=make_signature_key(
str(getattr(candidate.endpoint, "api_family", "")).strip().lower(),
str(getattr(candidate.endpoint, "endpoint_kind", "")).strip().lower(),
),
format_converted=False,
provider_api_format=provider_api_format,
format_converted=format_converted,
model=internal_request.model,
prompt=internal_request.prompt,
original_request_body=original_request_body,
converted_request_body=original_request_body,
converted_request_body=converted_request_body or original_request_body,
duration_seconds=internal_request.duration_seconds,
resolution=internal_request.resolution,
aspect_ratio=internal_request.aspect_ratio,
@@ -580,8 +928,23 @@ class OpenAIVideoHandler(VideoHandlerBase):
status = VideoStatus(task.status)
except ValueError:
status = VideoStatus.PENDING
# 构建 extra 字段
extra: dict[str, Any] = {
"model": task.model,
"size": task.size,
"seconds": str(task.duration_seconds) if task.duration_seconds else None,
"prompt": task.prompt,
}
# 检查是否是 remix 视频
if task.original_request_body and isinstance(task.original_request_body, dict):
remixed_from = task.original_request_body.get("remix_video_id")
if remixed_from:
extra["remixed_from_video_id"] = remixed_from
return InternalVideoTask(
id=task.id,
id=task.id, # OpenAI Sora 使用 UUID
external_id=task.external_task_id,
status=status,
progress_percent=task.progress_percent or 0,
@@ -596,7 +959,7 @@ class OpenAIVideoHandler(VideoHandlerBase):
expires_at=task.video_expires_at,
error_code=task.error_code,
error_message=task.error_message,
extra={"model": task.model, "size": task.size, "seconds": task.duration_seconds},
extra=extra,
)
async def _record_failed_usage(
@@ -609,8 +972,6 @@ class OpenAIVideoHandler(VideoHandlerBase):
original_headers: dict[str, str],
) -> None:
"""记录失败请求的使用记录(无任务记录)"""
import time
response_time_ms = int((time.time() - self.start_time) * 1000)
safe_headers = {
k: v
@@ -669,8 +1030,6 @@ class OpenAIVideoHandler(VideoHandlerBase):
candidate_keys: list[dict[str, Any]] | None = None,
) -> None:
"""创建失败的任务记录和使用记录"""
import time
now = datetime.now(timezone.utc)
response_time_ms = int((time.time() - self.start_time) * 1000)
@@ -696,6 +1055,7 @@ class OpenAIVideoHandler(VideoHandlerBase):
# 创建失败的任务记录
task = VideoTask(
id=str(uuid4()),
request_id=self.request_id,
external_task_id=None,
user_id=self.user.id,
api_key_id=self.api_key.id,