chatgpt2api / services /log_service.py
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from __future__ import annotations
import hashlib
import json
import itertools
import time
from dataclasses import dataclass, field
from datetime import datetime
from pathlib import Path
from typing import Any
from uuid import uuid4
from fastapi import HTTPException
from fastapi.concurrency import run_in_threadpool
from fastapi.responses import JSONResponse, StreamingResponse
from services.config import DATA_DIR
from utils.helper import anthropic_sse_stream, sse_json_stream
LOG_TYPE_CALL = "call"
LOG_TYPE_ACCOUNT = "account"
class LogService:
def __init__(self, path: Path):
self.path = path
self.path.parent.mkdir(parents=True, exist_ok=True)
@staticmethod
def _legacy_id(raw_line: str, line_number: int) -> str:
payload = f"{line_number}:{raw_line}".encode("utf-8", errors="ignore")
return hashlib.sha1(payload).hexdigest()[:24]
def _parse_line(self, raw_line: str, line_number: int) -> dict[str, Any] | None:
try:
item = json.loads(raw_line)
except Exception:
return None
if not isinstance(item, dict):
return None
parsed = dict(item)
parsed["id"] = str(parsed.get("id") or self._legacy_id(raw_line, line_number))
return parsed
@staticmethod
def _serialize_item(item: dict[str, Any]) -> str:
return json.dumps(item, ensure_ascii=False, separators=(",", ":"))
@staticmethod
def _matches_filters(item: dict[str, Any], *, type: str = "", start_date: str = "", end_date: str = "") -> bool:
t = str(item.get("time") or "")
day = t[:10]
if type and item.get("type") != type:
return False
if start_date and day < start_date:
return False
if end_date and day > end_date:
return False
return True
def add(self, type: str, summary: str = "", detail: dict[str, Any] | None = None, **data: Any) -> None:
item = {
"id": uuid4().hex,
"time": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
"type": type,
"summary": summary,
"detail": detail or data,
}
with self.path.open("a", encoding="utf-8") as file:
file.write(self._serialize_item(item) + "\n")
def list(self, type: str = "", start_date: str = "", end_date: str = "", limit: int = 200) -> list[dict[str, Any]]:
if not self.path.exists():
return []
items: list[dict[str, Any]] = []
lines = self.path.read_text(encoding="utf-8").splitlines()
for line_number in range(len(lines) - 1, -1, -1):
item = self._parse_line(lines[line_number], line_number)
if item is None:
continue
if not self._matches_filters(item, type=type, start_date=start_date, end_date=end_date):
continue
items.append(item)
if len(items) >= limit:
break
return items
def delete(self, ids: list[str]) -> dict[str, int]:
target_ids = {str(item or "").strip() for item in ids if str(item or "").strip()}
if not self.path.exists() or not target_ids:
return {"removed": 0}
lines = self.path.read_text(encoding="utf-8").splitlines()
kept_lines: list[str] = []
removed = 0
for line_number, raw_line in enumerate(lines):
item = self._parse_line(raw_line, line_number)
if item is None:
kept_lines.append(raw_line)
continue
if str(item.get("id") or "") in target_ids:
removed += 1
continue
kept_lines.append(self._serialize_item(item))
content = "\n".join(kept_lines)
if content:
content += "\n"
self.path.write_text(content, encoding="utf-8")
return {"removed": removed}
log_service = LogService(DATA_DIR / "logs.jsonl")
def _collect_urls(value: object) -> list[str]:
urls: list[str] = []
if isinstance(value, dict):
for key, item in value.items():
if key == "url" and isinstance(item, str):
urls.append(item)
elif key == "urls" and isinstance(item, list):
urls.extend(str(url) for url in item if isinstance(url, str))
else:
urls.extend(_collect_urls(item))
elif isinstance(value, list):
for item in value:
urls.extend(_collect_urls(item))
return urls
def _request_excerpt(text: object, limit: int = 1000) -> str:
value = str(text or "").strip()
if not value:
return ""
normalized = " ".join(value.split())
if len(normalized) <= limit:
return normalized
return normalized[: limit - 1].rstrip() + "…"
def _image_error_response(exc: Exception) -> JSONResponse:
message = str(exc)
if "no available image quota" in message.lower():
return JSONResponse(
status_code=429,
content={
"error": {
"message": "no available image quota",
"type": "insufficient_quota",
"param": None,
"code": "insufficient_quota",
}
},
)
if hasattr(exc, "to_openai_error") and hasattr(exc, "status_code"):
return JSONResponse(status_code=int(exc.status_code), content=exc.to_openai_error())
return JSONResponse(
status_code=502,
content={
"error": {
"message": message,
"type": "server_error",
"param": None,
"code": "upstream_error",
}
},
)
def _next_item(items):
try:
return True, next(items)
except StopIteration:
return False, None
@dataclass
class LoggedCall:
identity: dict[str, object]
endpoint: str
model: str
summary: str
started: float = field(default_factory=time.time)
request_text: str = ""
async def run(self, handler, *args, sse: str = "openai"):
from services.protocol.conversation import ImageGenerationError
try:
result = await run_in_threadpool(handler, *args)
except ImageGenerationError as exc:
self.log("调用失败", status="failed", error=str(exc))
return _image_error_response(exc)
except HTTPException as exc:
self.log("调用失败", status="failed", error=str(exc.detail))
raise
except Exception as exc:
self.log("调用失败", status="failed", error=str(exc))
raise HTTPException(status_code=502, detail={"error": str(exc)}) from exc
if isinstance(result, dict):
self.log("调用完成", result)
return result
sender = anthropic_sse_stream if sse == "anthropic" else sse_json_stream
try:
has_first, first = await run_in_threadpool(_next_item, result)
except ImageGenerationError as exc:
self.log("调用失败", status="failed", error=str(exc))
return _image_error_response(exc)
except HTTPException as exc:
self.log("调用失败", status="failed", error=str(exc.detail))
raise
except Exception as exc:
self.log("调用失败", status="failed", error=str(exc))
raise HTTPException(status_code=502, detail={"error": str(exc)}) from exc
if not has_first:
self.log("流式调用结束")
return StreamingResponse(sender(()), media_type="text/event-stream")
return StreamingResponse(sender(self.stream(itertools.chain([first], result))), media_type="text/event-stream")
def stream(self, items):
urls: list[str] = []
failed = False
try:
for item in items:
urls.extend(_collect_urls(item))
yield item
except Exception as exc:
failed = True
self.log("流式调用失败", status="failed", error=str(exc), urls=urls)
raise
finally:
if not failed:
self.log("流式调用结束", urls=urls)
def log(self, suffix: str, result: object = None, status: str = "success", error: str = "",
urls: list[str] | None = None) -> None:
detail = {
"key_id": self.identity.get("id"),
"key_name": self.identity.get("name"),
"role": self.identity.get("role"),
"endpoint": self.endpoint,
"model": self.model,
"started_at": datetime.fromtimestamp(self.started).strftime("%Y-%m-%d %H:%M:%S"),
"ended_at": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
"duration_ms": int((time.time() - self.started) * 1000),
"status": status,
}
request_excerpt = _request_excerpt(self.request_text)
if request_excerpt:
detail["request_text"] = request_excerpt
if error:
detail["error"] = error
collected_urls = [*(urls or []), *_collect_urls(result)]
if collected_urls:
detail["urls"] = list(dict.fromkeys(collected_urls))
log_service.add(LOG_TYPE_CALL, f"{self.summary}{suffix}", detail)