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Browse files- app/services/__init__.py +0 -0
- app/services/hf_client.py +103 -0
app/services/__init__.py
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app/services/hf_client.py
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"""
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خدمة الاتصال بنموذج Hugging Face عبر huggingface_hub InferenceClient.
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تدعم استدعاء نماذج LLM/Chatbot المستضافة على:
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- Hugging Face Inference API (المجاني/المدفوع)
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- Hugging Face Inference Endpoints (استضافة مخصصة)
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- مزودين خارجيين متوافقين (مثل together, fireworks-ai...) عبر بارامتر provider
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"""
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from __future__ import annotations
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import logging
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from collections.abc import AsyncGenerator
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from huggingface_hub import AsyncInferenceClient
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from huggingface_hub.errors import HfHubHTTPError
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from app.config import Settings
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from app.schemas import ChatMessage
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logger = logging.getLogger("hf_chat_backend.hf_client")
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class HFClientError(Exception):
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"""خطأ عام أثناء الاتصال بنموذج Hugging Face."""
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class HFInferenceService:
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"""طبقة عزل (Adapter) فوق huggingface_hub لسهولة الاستبدال أو الاختبار."""
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def __init__(self, settings: Settings) -> None:
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self._settings = settings
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self._client = AsyncInferenceClient(
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model=settings.hf_model_id,
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token=settings.hf_api_token or None,
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provider=settings.hf_provider,
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timeout=settings.hf_timeout_seconds,
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)
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@staticmethod
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def _to_hf_messages(messages: list[ChatMessage]) -> list[dict]:
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return [{"role": m.role, "content": m.content} for m in messages]
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async def chat_completion(
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self,
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messages: list[ChatMessage],
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max_new_tokens: int | None = None,
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temperature: float | None = None,
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top_p: float | None = None,
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) -> tuple[str, str | None]:
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"""يرسل المحادثة كاملة للنموذج ويعيد الرد النهائي (بدون بث)."""
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try:
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completion = await self._client.chat_completion(
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messages=self._to_hf_messages(messages),
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max_tokens=max_new_tokens or self._settings.default_max_new_tokens,
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temperature=(
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temperature
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if temperature is not None
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else self._settings.default_temperature
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),
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top_p=top_p if top_p is not None else self._settings.default_top_p,
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stream=False,
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)
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choice = completion.choices[0]
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reply = choice.message.content or ""
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finish_reason = choice.finish_reason
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return reply, finish_reason
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except HfHubHTTPError as exc:
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logger.exception("HF Hub HTTP error")
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raise HFClientError(f"فشل الاتصال بنموذج Hugging Face: {exc}") from exc
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except Exception as exc: # noqa: BLE001
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logger.exception("Unexpected error calling HF model")
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raise HFClientError(f"خطأ غير متوقع أثناء استدعاء النموذج: {exc}") from exc
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async def chat_completion_stream(
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self,
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messages: list[ChatMessage],
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max_new_tokens: int | None = None,
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temperature: float | None = None,
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top_p: float | None = None,
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) -> AsyncGenerator[str, None]:
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"""يبث الرد تدريجياً (Server-Sent Events) عبر مولّد غير متزامن."""
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try:
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stream = await self._client.chat_completion(
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messages=self._to_hf_messages(messages),
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max_tokens=max_new_tokens or self._settings.default_max_new_tokens,
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temperature=(
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temperature
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if temperature is not None
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else self._settings.default_temperature
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),
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top_p=top_p if top_p is not None else self._settings.default_top_p,
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stream=True,
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)
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async for chunk in stream:
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delta = chunk.choices[0].delta.content
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if delta:
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yield delta
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except HfHubHTTPError as exc:
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logger.exception("HF Hub HTTP error during streaming")
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raise HFClientError(f"فشل الاتصال بنموذج Hugging Face: {exc}") from exc
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except Exception as exc: # noqa: BLE001
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logger.exception("Unexpected error during streaming")
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raise HFClientError(f"خطأ غير متوقع أثناء البث: {exc}") from exc
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