ai_v/venv/Lib/site-packages/aiohttp/web_log.py
24024 af7c11d7f9 feat(api): 实现图像生成及后台同步功能
- 新增图像生成接口,支持试用、积分和自定义API Key模式
- 实现生成图片结果异步上传至MinIO存储,带重试机制
- 优化积分预扣除和异常退还逻辑,保障用户积分准确
- 添加获取生成历史记录接口,支持时间范围和分页
- 提供本地字典配置接口,支持模型、比例、提示模板和尺寸
- 实现图片批量上传接口,支持S3兼容对象存储

feat(admin): 增加管理员角色管理与权限分配接口

- 实现角色列表查询、角色创建、更新及删除功能
- 增加权限列表查询接口
- 实现用户角色分配接口,便于统一管理用户权限
- 增加系统字典增删查改接口,支持分类过滤和排序
- 权限控制全面覆盖管理接口,保证安全访问

feat(auth): 完善用户登录注册及权限相关接口与页面

- 实现手机号验证码发送及校验功能,保障注册安全
- 支持手机号注册、登录及退出接口,集成日志记录
- 增加修改密码功能,验证原密码后更新
- 提供动态导航菜单接口,基于权限展示不同菜单
- 实现管理界面路由及日志、角色、字典管理页面访问权限控制
- 添加系统日志查询接口,支持关键词和等级筛选

feat(app): 初始化Flask应用并配置蓝图与数据库

- 创建应用程序工厂,加载配置,初始化数据库和Redis客户端
- 注册认证、API及管理员蓝图,整合路由
- 根路由渲染主页模板
- 应用上下文中自动创建数据库表,保证运行环境准备完毕

feat(database): 提供数据库创建与迁移支持脚本

- 新增数据库创建脚本,支持自动检测是否已存在
- 添加数据库表初始化脚本,支持创建和删除所有表
- 实现RBAC权限初始化,包含基础权限和角色创建
- 新增字段手动修复脚本,添加用户API Key和积分字段
- 强制迁移脚本支持清理连接和修复表结构,初始化默认数据及角色分配

feat(config): 新增系统配置参数

- 配置数据库、Redis、Session和MinIO相关参数
- 添加AI接口地址及试用Key配置
- 集成阿里云短信服务配置及开发模式相关参数

feat(extensions): 初始化数据库、Redis和MinIO客户端

- 创建全局SQLAlchemy数据库实例和Redis客户端
- 配置基于boto3的MinIO兼容S3客户端

chore(logs): 添加示例系统日志文件

- 记录用户请求、验证码发送成功与失败的日志信息
2026-01-12 00:53:31 +08:00

217 lines
7.7 KiB
Python

import datetime
import functools
import logging
import os
import re
import time as time_mod
from collections import namedtuple
from typing import Any, Callable, Dict, Iterable, List, Tuple # noqa
from .abc import AbstractAccessLogger
from .web_request import BaseRequest
from .web_response import StreamResponse
KeyMethod = namedtuple("KeyMethod", "key method")
class AccessLogger(AbstractAccessLogger):
"""Helper object to log access.
Usage:
log = logging.getLogger("spam")
log_format = "%a %{User-Agent}i"
access_logger = AccessLogger(log, log_format)
access_logger.log(request, response, time)
Format:
%% The percent sign
%a Remote IP-address (IP-address of proxy if using reverse proxy)
%t Time when the request was started to process
%P The process ID of the child that serviced the request
%r First line of request
%s Response status code
%b Size of response in bytes, including HTTP headers
%T Time taken to serve the request, in seconds
%Tf Time taken to serve the request, in seconds with floating fraction
in .06f format
%D Time taken to serve the request, in microseconds
%{FOO}i request.headers['FOO']
%{FOO}o response.headers['FOO']
%{FOO}e os.environ['FOO']
"""
LOG_FORMAT_MAP = {
"a": "remote_address",
"t": "request_start_time",
"P": "process_id",
"r": "first_request_line",
"s": "response_status",
"b": "response_size",
"T": "request_time",
"Tf": "request_time_frac",
"D": "request_time_micro",
"i": "request_header",
"o": "response_header",
}
LOG_FORMAT = '%a %t "%r" %s %b "%{Referer}i" "%{User-Agent}i"'
FORMAT_RE = re.compile(r"%(\{([A-Za-z0-9\-_]+)\}([ioe])|[atPrsbOD]|Tf?)")
CLEANUP_RE = re.compile(r"(%[^s])")
_FORMAT_CACHE: Dict[str, Tuple[str, List[KeyMethod]]] = {}
def __init__(self, logger: logging.Logger, log_format: str = LOG_FORMAT) -> None:
"""Initialise the logger.
logger is a logger object to be used for logging.
log_format is a string with apache compatible log format description.
"""
super().__init__(logger, log_format=log_format)
_compiled_format = AccessLogger._FORMAT_CACHE.get(log_format)
if not _compiled_format:
_compiled_format = self.compile_format(log_format)
AccessLogger._FORMAT_CACHE[log_format] = _compiled_format
self._log_format, self._methods = _compiled_format
def compile_format(self, log_format: str) -> Tuple[str, List[KeyMethod]]:
"""Translate log_format into form usable by modulo formatting
All known atoms will be replaced with %s
Also methods for formatting of those atoms will be added to
_methods in appropriate order
For example we have log_format = "%a %t"
This format will be translated to "%s %s"
Also contents of _methods will be
[self._format_a, self._format_t]
These method will be called and results will be passed
to translated string format.
Each _format_* method receive 'args' which is list of arguments
given to self.log
Exceptions are _format_e, _format_i and _format_o methods which
also receive key name (by functools.partial)
"""
# list of (key, method) tuples, we don't use an OrderedDict as users
# can repeat the same key more than once
methods = list()
for atom in self.FORMAT_RE.findall(log_format):
if atom[1] == "":
format_key1 = self.LOG_FORMAT_MAP[atom[0]]
m = getattr(AccessLogger, "_format_%s" % atom[0])
key_method = KeyMethod(format_key1, m)
else:
format_key2 = (self.LOG_FORMAT_MAP[atom[2]], atom[1])
m = getattr(AccessLogger, "_format_%s" % atom[2])
key_method = KeyMethod(format_key2, functools.partial(m, atom[1]))
methods.append(key_method)
log_format = self.FORMAT_RE.sub(r"%s", log_format)
log_format = self.CLEANUP_RE.sub(r"%\1", log_format)
return log_format, methods
@staticmethod
def _format_i(
key: str, request: BaseRequest, response: StreamResponse, time: float
) -> str:
if request is None:
return "(no headers)"
# suboptimal, make istr(key) once
return request.headers.get(key, "-")
@staticmethod
def _format_o(
key: str, request: BaseRequest, response: StreamResponse, time: float
) -> str:
# suboptimal, make istr(key) once
return response.headers.get(key, "-")
@staticmethod
def _format_a(request: BaseRequest, response: StreamResponse, time: float) -> str:
if request is None:
return "-"
ip = request.remote
return ip if ip is not None else "-"
@staticmethod
def _format_t(request: BaseRequest, response: StreamResponse, time: float) -> str:
tz = datetime.timezone(datetime.timedelta(seconds=-time_mod.timezone))
now = datetime.datetime.now(tz)
start_time = now - datetime.timedelta(seconds=time)
return start_time.strftime("[%d/%b/%Y:%H:%M:%S %z]")
@staticmethod
def _format_P(request: BaseRequest, response: StreamResponse, time: float) -> str:
return "<%s>" % os.getpid()
@staticmethod
def _format_r(request: BaseRequest, response: StreamResponse, time: float) -> str:
if request is None:
return "-"
return "{} {} HTTP/{}.{}".format(
request.method,
request.path_qs,
request.version.major,
request.version.minor,
)
@staticmethod
def _format_s(request: BaseRequest, response: StreamResponse, time: float) -> int:
return response.status
@staticmethod
def _format_b(request: BaseRequest, response: StreamResponse, time: float) -> int:
return response.body_length
@staticmethod
def _format_T(request: BaseRequest, response: StreamResponse, time: float) -> str:
return str(round(time))
@staticmethod
def _format_Tf(request: BaseRequest, response: StreamResponse, time: float) -> str:
return "%06f" % time
@staticmethod
def _format_D(request: BaseRequest, response: StreamResponse, time: float) -> str:
return str(round(time * 1000000))
def _format_line(
self, request: BaseRequest, response: StreamResponse, time: float
) -> Iterable[Tuple[str, Callable[[BaseRequest, StreamResponse, float], str]]]:
return [(key, method(request, response, time)) for key, method in self._methods]
@property
def enabled(self) -> bool:
"""Check if logger is enabled."""
# Avoid formatting the log line if it will not be emitted.
return self.logger.isEnabledFor(logging.INFO)
def log(self, request: BaseRequest, response: StreamResponse, time: float) -> None:
try:
fmt_info = self._format_line(request, response, time)
values = list()
extra = dict()
for key, value in fmt_info:
values.append(value)
if key.__class__ is str:
extra[key] = value
else:
k1, k2 = key # type: ignore[misc]
dct = extra.get(k1, {}) # type: ignore[var-annotated,has-type]
dct[k2] = value # type: ignore[index,has-type]
extra[k1] = dct # type: ignore[has-type,assignment]
self.logger.info(self._log_format % tuple(values), extra=extra)
except Exception:
self.logger.exception("Error in logging")