xiaoxia-saas/packages/shared/ai_client.py

"""豆包大模型 API 客户端（共享层）.

API 和 Worker 两边共用。基于火山引擎方舟平台的 OpenAI 兼容接口。

使用方式：
    from packages.shared.ai_client import get_doubao_client

    client = get_doubao_client()
    if client.is_available:
        result = client.chat_completion(messages=[...])
"""

from __future__ import annotations

import logging
import time
from typing import Any, Optional

import httpx

from packages.shared.config import get_shared_settings

logger = logging.getLogger(__name__)


class DoubaoClient:
    """豆包大模型 API 客户端.

    封装 OpenAI 兼容的 Chat Completion 接口，支持自动重试。
    未配置 API Key 时 is_available 为 False，调用方应降级处理。
    """

    def __init__(self) -> None:
        settings = get_shared_settings()
        self.api_key: str = settings.doubao_api_key
        self.model: str = settings.doubao_model
        self.base_url: str = settings.doubao_base_url.rstrip("/")
        self.timeout: int = settings.doubao_timeout
        self.max_retries: int = settings.doubao_max_retries
        self.vision_model: str = settings.doubao_vision_model

    @property
    def embed_text(self, text: str, timeout: int | None = None) -> list[float] | None:
        """调用豆包文本 Embedding API，返回浮点向量；失败返回 None。"""
        if not self.is_available or not text or not text.strip():
            return None

        url = f"{self.base_url}/embeddings"
        headers = {
            "Authorization": f"Bearer {self.api_key}",
            "Content-Type": "application/json",
        }
        payload: dict[str, Any] = {
            "model": getattr(self, "embedding_model", None) or "doubao-embedding-large-text-240915",
            "input": text.strip(),
            "encoding_format": "float",
        }

        req_timeout = timeout or self.timeout
        last_error: Exception | None = None
        for attempt in range(self.max_retries + 1):
            try:
                resp = httpx.post(url, headers=headers, json=payload, timeout=req_timeout)
                resp.raise_for_status()
                data = resp.json()
                emb_list = data.get("data") or []
                if emb_list and isinstance(emb_list, list):
                    vec = emb_list[0].get("embedding")
                    if isinstance(vec, list) and vec:
                        return [float(x) for x in vec]
                logger.warning("embedding 返回结构异常: %s", str(data)[:200])
                return None
            except Exception as e:
                last_error = e
                if attempt < self.max_retries:
                    wait = 0.5 * (2**attempt)
                    logger.warning(
                        "豆包 Embedding 调用失败，%.1fs 后重试 (%d/%d): %s", wait, attempt + 1, self.max_retries + 1, e
                    )
                    time.sleep(wait)
        logger.error("豆包 Embedding 调用最终失败: %s", last_error)
        return None

    @property
    def is_available(self) -> bool:
        """是否可用（配置了 API Key）."""
        return bool(self.api_key)

    def chat_completion(
        self,
        messages: list[dict[str, str]],
        temperature: float = 0.7,
        max_tokens: int = 1024,
    ) -> Optional[str]:
        """调用 Chat Completion 接口.

        Args:
            messages: 对话消息列表，[{"role": "user"/"system"/"assistant", "content": "..."}]
            temperature: 采样温度，0-2，默认0.7
            max_tokens: 最大生成token数，默认1024

        Returns:
            模型返回的文本内容，失败返回 None
        """
        if not self.is_available:
            return None

        url = f"{self.base_url}/chat/completions"
        headers = {
            "Authorization": f"Bearer {self.api_key}",
            "Content-Type": "application/json",
        }
        payload: dict[str, Any] = {
            "model": self.model,
            "messages": messages,
            "temperature": temperature,
            "max_tokens": max_tokens,
        }

        last_error: Optional[Exception] = None
        for attempt in range(self.max_retries + 1):
            try:
                response = httpx.post(
                    url,
                    headers=headers,
                    json=payload,
                    timeout=self.timeout,
                )
                response.raise_for_status()
                data = response.json()
                content = data["choices"][0]["message"]["content"]
                return content.strip()
            except Exception as e:
                last_error = e
                if attempt < self.max_retries:
                    wait = 0.5 * (2**attempt)
                    logger.warning(
                        "豆包API调用失败，%.1fs后重试 (第%d/%d次): %s",
                        wait,
                        attempt + 1,
                        self.max_retries + 1,
                        e,
                    )
                    time.sleep(wait)

        logger.error("豆包API调用最终失败: %s", last_error)
        return None

    def vision_completion(
        self,
        messages: list[dict],
        images: list[str] | None = None,
        max_tokens: int = 2048,
        temperature: float = 0.3,
        timeout: int | None = None,
    ) -> Optional[str]:
        """调用豆包视觉理解 API（OpenAI 兼容多模态格式）.

        将 images 附加到最后一条 user message 的 content 中，
        使用 vision_model（默认 doubao-1-5-vision-pro-250915）。

        Args:
            messages: 对话消息列表。最后一条 user message 会被注入图片内容。
            images: 图片列表，支持 base64 data URI 或 HTTP(S) URL。
            max_tokens: 最大生成 token 数，默认 2048。
            temperature: 采样温度，默认 0.3（视觉任务偏低更稳定）。
            timeout: 单次请求超时秒数，不传则使用默认 self.timeout。

        Returns:
            模型返回的文本内容，失败返回 None。
        """
        if not self.is_available:
            return None

        # 构造多模态 content：先追加文本，再追加图片
        vision_messages = []
        for msg in messages:
            vision_messages.append(dict(msg))

        # 将图片注入最后一条 user message
        if images and vision_messages:
            # 找到最后一条 user message
            for i in range(len(vision_messages) - 1, -1, -1):
                if vision_messages[i].get("role") == "user":
                    text_content = vision_messages[i].get("content", "")
                    multi_content: list[dict[str, Any]] = []
                    if text_content:
                        multi_content.append({"type": "text", "text": text_content})
                    for img in images:
                        if img.startswith("data:") or img.startswith("http://") or img.startswith("https://"):
                            multi_content.append({"type": "image_url", "image_url": {"url": img}})
                        else:
                            # 当作 base64 编码
                            multi_content.append(
                                {"type": "image_url", "image_url": {"url": f"data:image/jpeg;base64,{img}"}}
                            )
                    vision_messages[i]["content"] = multi_content
                    break

        url = f"{self.base_url}/chat/completions"
        headers = {
            "Authorization": f"Bearer {self.api_key}",
            "Content-Type": "application/json",
        }
        payload: dict[str, Any] = {
            "model": self.vision_model,
            "messages": vision_messages,
            "temperature": temperature,
            "max_tokens": max_tokens,
        }

        req_timeout = timeout or self.timeout
        last_error: Optional[Exception] = None
        for attempt in range(self.max_retries + 1):
            try:
                response = httpx.post(
                    url,
                    headers=headers,
                    json=payload,
                    timeout=req_timeout,
                )
                response.raise_for_status()
                data = response.json()
                content = data["choices"][0]["message"]["content"]
                return content.strip()
            except Exception as e:
                last_error = e
                if attempt < self.max_retries:
                    wait = 0.5 * (2**attempt)
                    logger.warning(
                        "豆包视觉API调用失败，%.1fs后重试 (第%d/%d次): %s",
                        wait,
                        attempt + 1,
                        self.max_retries + 1,
                        e,
                    )
                    time.sleep(wait)

        logger.error("豆包视觉API调用最终失败: %s", last_error)
        return None


# ── 单例 ─────────────────────────────────────────────────────────────────────


_client: Optional[DoubaoClient] = None


def get_doubao_client() -> DoubaoClient:
    """获取豆包客户端单例."""
    global _client
    if _client is None:
        _client = DoubaoClient()
    return _client