Utilities for logging and sending logs.
Project description
liblogging
Utilities for logging and sending logs.
pip install liblogging
🌟Feature
统一日志格式记录
统一了当前agent的日志记录格式,也可自己基于默认格式进行拓展。 当前记录的信息和对应的key如下:
{
"create_time": "时间戳,默认和mysql列datatime(3)保持一致",
"level": "like INFO, ERROR, WARNING",
# 通过上下文变量保存trace_id
"trace_id": "trace_id for 追溯不同服务的调用链路",
"line_info": "{record.filename}:{record.lineno}:{record.funcName}",
"message": message,
# 通过上下文变量区分不同源, 方便接收不同服务源信息, 比如Chat, Welcome, Planning等
"message_source": context.get("message_source", "chat_log"),
# 控制不同log类型,便于筛选日志数据, 比如tool, llm, turn等
"message_type": message_type,
# 可以根据自己需求加入其他的字段
**extra_message
}
上述日志信息均以json字符串的形式记录下来,方便存储及后续处理。
配置上下文变量,无须重复传参显示记录
通过装饰器形式, 指定需要配置的全局上下文变量, 仅需在整个程序/服务入口配置一次即可。
需要注意的是配置的全局上下文变量,根据加入装饰器下的函数入参名称匹配进行更新,推荐函数参数定义使用BaseModel。
主程序/服务: service1.py
from pydantic import BaseModel
from liblogging import log_request,logger
class Request(BaseModel):
name: str
trace_id: str
#在主程序入口配置了trace_id这一全局上下文变量,会通过函数入参对该字段进行赋值,后续在该服务下的其他程序logger.info时会读取这一变量并记录下来。
#同时也支持默认参数配置,比如message_source设置了默认值,后续使用logger会记录message_source为"demo"。
@log_request("trace_id", message_source="demo")
def your_service_entry(request: Request):
logger.info("Processing request")
该服务下的其他程序: function1.py,可直接logger.info(). trace_id, message_source均会记录下来。
from liblogging import logger
def test(name):
logger.info(f"Testing {name}")
重定向并发送到消息队列
以默认集成的kafka为例,可将上述统一日志格式记录的形式发送至kafka。
kafka 配置文件格式:
{
"{cluster_name}": {
"{env_name}": {
"bootstrap_servers": "server1, server2, server3",
"username": "username",
"password": "******",
"topic": "your topic",
"...": "..."
}
}
}
使用形式:
python -u service 2>&1 | tee {log_file_path} | liblogging_collector --config-path {your_kafka_path} --ssl-cafile {your_ssl_cafile_path} --send-kafka
tee {log_file_path} 可以将你的程序记录(输出+错误)重定向到文件中(可选)。
log_collector.py为liblogging_collector的源代码地址。
env_name不指定的话,默认读取os.environ.get("CHAT_ENV", "dev").
📋Example
增加额外记录字段信息,以及搭配libentry使用的样例见 example。
💡Tips
-
If using Kafka to send messages, please use
pip install liblogging[collector]. -
如果需要数据持久化,推荐日志消息都写在message列中,维护一列节省内存空间。需要后续进行查询的,以字典形式记录,比如logger.info({"key": "value"}), 便于后续查找。
-
当前默认的trace_id,推荐使用liblogging/util.py中的
get_trace_id函数,该函数会根据请求对象的uid,session_id,turn等字段生成trace_id,默认的liblogging/sending/log_collector.py也会根据trace_id拆解uid,session_id,turn,根据create_time拆解create_date,方便后续进行追溯以及数据存储。以下是构建trace_id的在整个服务入口的示例:
from liblogging.util import get_trace_id
class Request(BaseModel):
uid: str = Field(..., description="用户id")
session_id: str = Field(..., description="会话id")
turn: int = Field(..., description="轮次")
trace_id: str = Field(..., description="trace_id")
@log_request("trace_id", "message_source")
def set_logger_global_vars(trace_id: str, message_source: str):
print(f"setting global vars: trace_id={trace_id}, message_source={message_source}")
def run():
trace_id = get_trace_id(request)
# 设置全局上下文变量, 这里注意需要以trace_id=xxx, message_source=xxx形式显式传入
set_logger_global_vars(trace_id=trace_id, message_source="demo")
request.trace_id = trace_id
# 可以直接给其他服务传入request对象,后续的logger.info会自动记录trace_id,其他服务需要在服务入口使用@log_request装饰器配置trace_id, message_source等全局上下文变量。可见example/service.py
your_service_entry(request)
if __name__ == "__main__":
run()
-
liblogging提供了一些常用的,比如logger.tool_start, logger.tool_end, logger.track_start, logger.track_end等。
(1) 默认message列就是当使用
logger.info(<message>)时,message的值。(2) 从本质上可以理解为当info的内容是字典时,字典的key就是表中的列名,value就是列的值,而使用liblogging默认这一套
trace_id, ``create_time,create_date`, `uid`, `session_id`, `turn`等字段会自动添加.(3) 如果需要统计相应的字段推荐这种方式,方便后续进行查询。
logger.info({
"message": {"key1": "value1", "key2": "value2"}, # message列的内容,liblogging将json序列化后存储
"message_type": "<your message_type>" # message_type列方便后续进行查询
})
由log_collector.py默认的数据表结构如下(如果有额外的字段,创建表时和log时的key保持一致即可):
CREATE TABLE `agent_log`.`your_table_name(需要和message_source一致)` (
`id` bigint unsigned NOT NULL AUTO_INCREMENT,
`uid` varchar(64) NOT NULL DEFAULT '',
`session_id` varchar(128) NOT NULL DEFAULT '',
`turn` smallint NOT NULL DEFAULT '0',
`trace_id` varchar(255) NOT NULL DEFAULT '',
`create_date` date NOT NULL,
`create_time` datetime(3) NOT NULL,
`insert_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '插入时间',
`line_info` varchar(255) NOT NULL DEFAULT '' COMMENT '对应代码行信息',
`message_source` varchar(64) NOT NULL DEFAULT '' COMMENT '消息来源:plan, memory, intent, guess question等,对应表名',
`message_type` varchar(32) NOT NULL DEFAULT '' COMMENT '消息类型, 可以筛选该key获取相关指标信息',
`message` text,
`level` varchar(32) NOT NULL DEFAULT '' COMMENT 'info, warning, error等',
PRIMARY KEY (`id`,`create_date`),
KEY `session_id_index` (`session_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci
PARTITION BY RANGE (TO_DAYS(create_date)) (
PARTITION p202507 VALUES LESS THAN (TO_DAYS('2025-08-01')),
PARTITION p202508 VALUES LESS THAN (TO_DAYS('2025-09-01')),
PARTITION p202509 VALUES LESS THAN (TO_DAYS('2025-10-01')),
PARTITION p202510 VALUES LESS THAN (TO_DAYS('2025-11-01')),
PARTITION p202511 VALUES LESS THAN (TO_DAYS('2025-12-01')),
PARTITION p202512 VALUES LESS THAN (TO_DAYS('2026-01-01')),
PARTITION p202601 VALUES LESS THAN (TO_DAYS('2026-02-01')),
PARTITION p202602 VALUES LESS THAN (TO_DAYS('2026-03-01')),
PARTITION p202603 VALUES LESS THAN (TO_DAYS('2026-04-01')),
PARTITION p202604 VALUES LESS THAN (TO_DAYS('2026-05-01')),
PARTITION p202605 VALUES LESS THAN (TO_DAYS('2026-06-01')),
PARTITION p202606 VALUES LESS THAN (TO_DAYS('2026-07-01')),
PARTITION p202607 VALUES LESS THAN (TO_DAYS('2026-08-01')),
PARTITION p202608 VALUES LESS THAN (TO_DAYS('2026-09-01')),
PARTITION p202609 VALUES LESS THAN (TO_DAYS('2026-10-01')),
PARTITION p202610 VALUES LESS THAN (TO_DAYS('2026-11-01')),
PARTITION p202611 VALUES LESS THAN (TO_DAYS('2026-12-01')),
PARTITION p202612 VALUES LESS THAN (TO_DAYS('2027-01-01')),
PARTITION pMaxRange VALUES LESS THAN MAXVALUE
);
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