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