Files
meida_backend/apps/worker/tasks.py
T
xsl f46ecc5eb0 fix(llm): price by call time and stop paying for thinking tokens
Two defects that only surface against the real DeepSeek API, both of which
break the cost model rather than the code:

deepseek-v4-flash enables thinking mode by default. The same single-turn
question took 13.5s with it on and 1.8s with it off, and the thinking tokens
are billed at the output rate. That misses NFR-PERF-02b (15s per turn) and
inflates every conversational call. SceneConfig now carries an explicit
`thinking` flag, all four V1 scenes set it to false, and the provider always
sends the parameter rather than relying on the upstream default. Reasoning
tokens are recorded separately in Usage.tokens_reasoning so the cost of ever
turning it back on is visible.

DeepSeek moves to peak/off-peak pricing on 2026-08-17, with peak (Beijing
09:00-12:00 and 14:00-18:00) at twice the off-peak rate. Reports are generated
mostly during peak hours, so a single blended rate would leave ob_ai_call --
the only input to V2 pricing -- off by nearly a factor of two.
PeakAwareRateTable resolves the rate at call time; cost is computed and stored
then, never recomputed later at whatever the current rate happens to be.

Also here:
- Replace the live API key in the redaction test with a synthetic one. The
  test that proves we redact secrets was itself a secret leak waiting for its
  first commit.
- Correct LLM_COST_RATES_JSON, which held placeholder rates.
- Make ids.SnowflakeGenerator take an injectable clock so rollover and
  clock-rollback are testable without patching a slots class.
- Rename exceptions to the -Error suffix (N818) and clear the remaining ruff,
  mypy and import-linter findings, including two dead lines: a duplicate
  pytestmark assignment and a no-op assert on a None return.

Gates: ruff, mypy (96 files incl. tests), 4/4 import contracts,
detect-secrets, 166 unit + 3 integration tests, migration up/down round-trip.
2026-08-14 00:54:40 +08:00

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"""Celery task definitions.
Only the scaffold's ``ping`` task lives here. It proves the whole async path:
API creates ``tk_task`` → queue → worker transitions running → succeeded →
task centre reflects it. Real long-running tasks (report / tryon / matting /
render) follow exactly this shape and additionally call
``billing.commit()``/``refund()`` and ``compliance.publish_asset()``.
"""
from __future__ import annotations
import asyncio
from typing import Any
from apps.worker.celery_app import celery_app
from packages.domain.task.state import TaskStatus
from packages.shared.context import bind_context
from packages.shared.db import get_session_factory
from packages.shared.logging import get_logger
from packages.task.service import TaskService
logger = get_logger(__name__)
async def _run_ping(task_id: int, echo: str | None = None) -> dict[str, Any]:
factory = get_session_factory()
async with factory() as session:
service = TaskService(session)
task = await service.transition(
task_id=task_id, target=TaskStatus.RUNNING, stage_text="执行中"
)
payload = task.payload or {}
message = echo or str(payload.get("echo", "pong"))
await session.commit()
finished = await service.transition(
task_id=task_id,
target=TaskStatus.SUCCEEDED,
stage_text="已完成",
result={"echo": message},
)
await session.commit()
return {"task_id": str(finished.task_id), "echo": message}
async def _fail_ping(task_id: int, error: str) -> None:
factory = get_session_factory()
async with factory() as session:
service = TaskService(session)
await service.transition(
task_id=task_id,
target=TaskStatus.FAILED,
stage_text="执行失败",
error_message=error,
)
await session.commit()
# Celery 的 task 装饰器没有类型标注,会把被装饰函数擦成 untyped
@celery_app.task(name="meida.task.ping", bind=True, max_retries=2) # type: ignore[untyped-decorator]
def ping_task(self: Any, task_id: int, echo: str | None = None) -> dict[str, Any]:
bind_context(task_id=task_id)
try:
return asyncio.run(_run_ping(task_id, echo))
except Exception as exc:
logger.exception("ping_task_failed", task_id=task_id)
# Real tasks additionally refund the quota reservation here (FR-BILL-05).
asyncio.run(_fail_ping(task_id, f"{type(exc).__name__}: {exc}"))
raise