Files
get_wechat/chatlog_fastAPI/services/media_resolver.py
yuanzhipeng 646efa132e ```
feat(api): 添加万川平台模型配置获取和同步功能

- 新增 getWanchuanModelConfig 函数,按模型编码获取平台模型配置
- 新增 syncWanchuanModelToSettings 函数,从万川平台拉取模型配置并写入后端 AI 设置
- 支持按用途分多个模型编码(generic/vision/voice)分别同步配置
- 配置失败时跳过对应字段,不影响其他模型同步

feat(settings): 重构AI模型配置界面支持多模块分组

- 将AI配置按话题分析、报告生成、视觉、语音四个模块分组展示
- 每个模块独立配置接口地址、密钥和模型名称
- 添加从万川平台获取配置的按钮和同步功能
- 优化配置状态指示和错误提示信息

refactor(config): 扩展AI配置支持独立的语音视觉报告网关

- 新增 voice_base_url/voice_api_key 配置项
- 新增 vision_base_url/vision_api_key 配置项
- 新增 summary_base_url/summary_api_key 配置项
- 留空时回退到 ai_base_url/ai_api_key 兼容单网关场景

refactor(http): 统一使用共享HTTP客户端减少连接开销

- 替换各处 httpx.AsyncClient 为 shared_client
- 在 lifespan 中正确关闭共享客户端资源
- 优化 get_current_wxid 和 health 检查中的HTTP请求

refactor(ai): 按用途缓存AI客户端支持不同网关配置

- 重构 get_openai_client 支持按(base_url, api_key)缓存
- 新增 get_client_for 函数按用途获取对应客户端
- 支持语音、视觉、报告等不同用途使用独立网关和密钥
```
2026-06-24 20:34:10 +08:00

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from __future__ import annotations
import logging
import sqlite3
from dataclasses import dataclass
from pathlib import Path
import httpx
from fastapi import HTTPException
from config import settings
from services.chatlog_context import get_chatlog_context
from services.http_client import shared_client
log = logging.getLogger(__name__)
@dataclass
class ResolvedMedia:
bytes: bytes
content_type: str
url: str
def _media_url(kind: str, key: str, thumb: bool = False) -> str:
url = f"{settings.chatlog_base_url}/{kind}/{key}"
if thumb:
url += "?thumb=1"
return url
def _read_voice_resource_status(key: str) -> dict:
ctx = get_chatlog_context()
work_dir = ctx.get("work_dir") or ""
if not work_dir:
return {"checked": False, "reason": "missing_work_dir"}
db_path = Path(work_dir) / "db_storage" / "message" / "message_resource.db"
if not db_path.exists():
return {"checked": False, "reason": "message_resource_db_missing", "path": str(db_path)}
try:
conn = sqlite3.connect(f"file:{db_path.as_posix()}?mode=ro", uri=True)
conn.row_factory = sqlite3.Row
try:
info = conn.execute(
"SELECT * FROM MessageResourceInfo WHERE message_svr_id=?",
(int(key),),
).fetchone()
if not info:
return {
"checked": True,
"found": False,
"path": str(db_path),
"message": "当前已解密资源库里没有这条语音的媒体资源记录",
}
details = conn.execute(
"SELECT type,size,status,data_index FROM MessageResourceDetail WHERE message_id=?",
(info["message_id"],),
).fetchall()
return {
"checked": True,
"found": True,
"path": str(db_path),
"message_id": info["message_id"],
"resources": [dict(row) for row in details],
}
finally:
conn.close()
except Exception as exc:
return {"checked": False, "reason": "resource_db_read_failed", "error": str(exc), "path": str(db_path)}
def _download_failure_message(kind: str, key: str, status_code: int | None, body: str = "") -> str:
if kind == "voice":
base = "底层语音文件未读取成功"
if status_code:
base += f"chatlog /voice 返回 HTTP {status_code}"
return (
f"{base}。请先确认已安装新版程序并重新识别当前微信账号;"
"如果仍失败,说明当前 chatlog 版本还不能解析该 WeChat 4.x 语音资源。"
)
if status_code:
return f"从 chatlog 下载媒体失败: HTTP {status_code}"
return f"从 chatlog 下载媒体失败: {body or 'unknown error'}"
async def diagnose_media(kind: str, key: str) -> dict:
if kind not in {"voice", "image", "video"}:
raise HTTPException(400, "不支持的媒体类型")
if not key:
raise HTTPException(400, "媒体 key 不能为空")
url = _media_url(kind, key, thumb=kind in {"image", "video"})
result = {
"ok": False,
"kind": kind,
"key": key,
"url": url,
"chatlog_base_url": settings.chatlog_base_url,
"chatlog_context": get_chatlog_context(),
}
client = shared_client()
try:
resp = await client.get(url, timeout=20)
content_type = resp.headers.get("content-type", "")
result.update(
{
"status_code": resp.status_code,
"content_type": content_type,
"content_length": len(resp.content or b""),
"ok": resp.status_code < 400 and bool(resp.content),
}
)
if resp.status_code >= 400:
result["error"] = _download_failure_message(kind, key, resp.status_code, resp.text[:500])
result["response_preview"] = resp.text[:500]
elif not resp.content:
result["error"] = "chatlog 返回了空媒体文件"
except Exception as exc:
result.update({"error": f"无法连接 chatlog 媒体接口: {exc}", "exception": str(exc)})
if kind == "voice":
result["resource_db"] = _read_voice_resource_status(key)
return result
async def resolve_media(kind: str, key: str) -> ResolvedMedia:
if kind not in {"voice", "image", "video"}:
raise HTTPException(400, "不支持的媒体类型")
if not key:
raise HTTPException(400, "媒体 key 不能为空")
url = _media_url(kind, key, thumb=kind in {"image", "video"})
client = shared_client()
try:
resp = await client.get(url, timeout=60)
resp.raise_for_status()
except httpx.HTTPStatusError as exc:
diagnostics = await diagnose_media(kind, key)
log.warning("[media_resolver] media download failed: %s", diagnostics)
raise HTTPException(
502,
{
"message": _download_failure_message(kind, key, exc.response.status_code, exc.response.text[:500]),
"diagnostics": diagnostics,
},
)
except Exception as exc:
diagnostics = await diagnose_media(kind, key)
log.warning("[media_resolver] media download exception: %s", diagnostics)
raise HTTPException(
502,
{
"message": _download_failure_message(kind, key, None, str(exc)),
"diagnostics": diagnostics,
},
)
if not resp.content:
diagnostics = await diagnose_media(kind, key)
raise HTTPException(
502,
{
"message": "chatlog 返回了空媒体文件",
"diagnostics": diagnostics,
},
)
return ResolvedMedia(
bytes=resp.content,
content_type=resp.headers.get("content-type", "application/octet-stream"),
url=url,
)