refactor: finetune through LLMClient interface + get_running_loop

- Add submit_finetune and get_finetune_status abstract methods to LLMClient base
- Implement both methods in ZhipuAIClient using asyncio.get_running_loop()
- Rewrite finetune_service to call llm.submit_finetune / llm.get_finetune_status
  instead of accessing llm._client directly, restoring interface encapsulation
- Replace asyncio.get_event_loop() with get_running_loop() in ZhipuAIClient._call
  and all four methods in RustFSClient (deprecated in Python 3.10+)
- Update test_finetune_service to mock the LLMClient interface methods as AsyncMocks
- Add two new tests in test_llm_client for submit_finetune and get_finetune_status
This commit is contained in:
wh
2026-04-10 16:43:28 +08:00
parent 603382d1fa
commit 0880e1018c
6 changed files with 130 additions and 79 deletions

View File

@@ -9,3 +9,11 @@ class LLMClient(ABC):
@abstractmethod
async def chat_vision(self, model: str, messages: list[dict]) -> str:
"""Send a multimodal (vision) chat request and return the response content string."""
@abstractmethod
async def submit_finetune(self, jsonl_url: str, base_model: str, hyperparams: dict) -> str:
"""Submit a fine-tune job and return the job_id."""
@abstractmethod
async def get_finetune_status(self, job_id: str) -> dict:
"""Return a dict with keys: job_id, status (raw SDK string), progress (int|None), error_message (str|None)."""

View File

@@ -19,8 +19,39 @@ class ZhipuAIClient(LLMClient):
async def chat_vision(self, model: str, messages: list[dict]) -> str:
return await self._call(model, messages)
async def submit_finetune(self, jsonl_url: str, base_model: str, hyperparams: dict) -> str:
loop = asyncio.get_running_loop()
try:
resp = await loop.run_in_executor(
None,
lambda: self._client.fine_tuning.jobs.create(
training_file=jsonl_url,
model=base_model,
hyperparameters=hyperparams,
),
)
return resp.id
except Exception as exc:
raise LLMCallError(f"微调任务提交失败: {exc}") from exc
async def get_finetune_status(self, job_id: str) -> dict:
loop = asyncio.get_running_loop()
try:
resp = await loop.run_in_executor(
None,
lambda: self._client.fine_tuning.jobs.retrieve(job_id),
)
return {
"job_id": resp.id,
"status": resp.status,
"progress": int(resp.progress) if getattr(resp, "progress", None) is not None else None,
"error_message": getattr(resp, "error_message", None),
}
except Exception as exc:
raise LLMCallError(f"查询微调任务失败: {exc}") from exc
async def _call(self, model: str, messages: list[dict]) -> str:
loop = asyncio.get_event_loop()
loop = asyncio.get_running_loop()
try:
response = await loop.run_in_executor(
None,