🤖 自动格式化代码 [skip ci]

This commit is contained in:
github-actions[bot]
2025-05-11 09:13:56 +00:00
parent c86b043f28
commit f71242d571
2 changed files with 103 additions and 49 deletions

View File

@@ -3,6 +3,7 @@ import psutil
import sys
import os
def get_system_info():
"""获取操作系统信息"""
return {
@@ -13,23 +14,27 @@ def get_system_info():
"processor": platform.processor(),
}
def get_python_version():
"""获取 Python 版本信息"""
return sys.version
def get_cpu_usage():
"""获取系统总CPU使用率"""
return psutil.cpu_percent(interval=1)
def get_process_cpu_usage():
"""获取当前进程CPU使用率"""
process = psutil.Process(os.getpid())
return process.cpu_percent(interval=1)
def get_memory_usage():
"""获取系统内存使用情况 (单位 MB)"""
mem = psutil.virtual_memory()
bytes_to_mb = lambda x: round(x / (1024 * 1024), 2) #noqa
bytes_to_mb = lambda x: round(x / (1024 * 1024), 2) # noqa
return {
"total_mb": bytes_to_mb(mem.total),
"available_mb": bytes_to_mb(mem.available),
@@ -38,21 +43,23 @@ def get_memory_usage():
"free_mb": bytes_to_mb(mem.free),
}
def get_process_memory_usage():
"""获取当前进程内存使用情况 (单位 MB)"""
process = psutil.Process(os.getpid())
mem_info = process.memory_info()
bytes_to_mb = lambda x: round(x / (1024 * 1024), 2) #noqa
bytes_to_mb = lambda x: round(x / (1024 * 1024), 2) # noqa
return {
"rss_mb": bytes_to_mb(mem_info.rss), # Resident Set Size: 实际使用物理内存
"vms_mb": bytes_to_mb(mem_info.vms), # Virtual Memory Size: 虚拟内存大小
"percent": process.memory_percent() # 进程内存使用百分比
"percent": process.memory_percent(), # 进程内存使用百分比
}
def get_disk_usage(path="/"):
"""获取指定路径磁盘使用情况 (单位 GB)"""
disk = psutil.disk_usage(path)
bytes_to_gb = lambda x: round(x / (1024 * 1024 * 1024), 2) #noqa
bytes_to_gb = lambda x: round(x / (1024 * 1024 * 1024), 2) # noqa
return {
"total_gb": bytes_to_gb(disk.total),
"used_gb": bytes_to_gb(disk.used),
@@ -60,6 +67,7 @@ def get_disk_usage(path="/"):
"percent": disk.percent,
}
def get_all_basic_info():
"""获取所有基本信息并封装返回"""
# 对于进程CPU使用率需要先初始化
@@ -77,6 +85,7 @@ def get_all_basic_info():
"disk_usage_root": get_disk_usage("/"),
}
def get_all_basic_info_string() -> str:
"""获取所有基本信息并以带解释的字符串形式返回"""
info = get_all_basic_info()
@@ -87,43 +96,44 @@ def get_all_basic_info_string() -> str:
disk_usage = info["disk_usage_root"]
# 对进程内存使用百分比进行格式化,保留两位小数
proc_mem_percent = round(proc_mem_usage['percent'], 2)
proc_mem_percent = round(proc_mem_usage["percent"], 2)
output_string = f"""[系统信息]
- 操作系统: {sys_info['system']} (例如: Windows, Linux)
- 发行版本: {sys_info['release']} (例如: 11, Ubuntu 20.04)
- 详细版本: {sys_info['version']}
- 硬件架构: {sys_info['machine']} (例如: AMD64)
- 处理器信息: {sys_info['processor']}
- 操作系统: {sys_info["system"]} (例如: Windows, Linux)
- 发行版本: {sys_info["release"]} (例如: 11, Ubuntu 20.04)
- 详细版本: {sys_info["version"]}
- 硬件架构: {sys_info["machine"]} (例如: AMD64)
- 处理器信息: {sys_info["processor"]}
[Python 环境]
- Python 版本: {info['python_version']}
- Python 版本: {info["python_version"]}
[CPU 状态]
- 系统总 CPU 使用率: {info['cpu_usage_percent']}%
- 当前进程 CPU 使用率: {info['process_cpu_usage_percent']}%
- 系统总 CPU 使用率: {info["cpu_usage_percent"]}%
- 当前进程 CPU 使用率: {info["process_cpu_usage_percent"]}%
[系统内存使用情况]
- 总物理内存: {mem_usage['total_mb']} MB
- 可用物理内存: {mem_usage['available_mb']} MB
- 物理内存使用率: {mem_usage['percent']}%
- 已用物理内存: {mem_usage['used_mb']} MB
- 空闲物理内存: {mem_usage['free_mb']} MB
- 总物理内存: {mem_usage["total_mb"]} MB
- 可用物理内存: {mem_usage["available_mb"]} MB
- 物理内存使用率: {mem_usage["percent"]}%
- 已用物理内存: {mem_usage["used_mb"]} MB
- 空闲物理内存: {mem_usage["free_mb"]} MB
[当前进程内存使用情况]
- 实际使用物理内存 (RSS): {proc_mem_usage['rss_mb']} MB
- 占用虚拟内存 (VMS): {proc_mem_usage['vms_mb']} MB
- 实际使用物理内存 (RSS): {proc_mem_usage["rss_mb"]} MB
- 占用虚拟内存 (VMS): {proc_mem_usage["vms_mb"]} MB
- 进程内存使用率: {proc_mem_percent}%
[磁盘使用情况 (根目录)]
- 总空间: {disk_usage['total_gb']} GB
- 已用空间: {disk_usage['used_gb']} GB
- 可用空间: {disk_usage['free_gb']} GB
- 磁盘使用率: {disk_usage['percent']}%
- 总空间: {disk_usage["total_gb"]} GB
- 已用空间: {disk_usage["used_gb"]} GB
- 可用空间: {disk_usage["free_gb"]} GB
- 磁盘使用率: {disk_usage["percent"]}%
"""
return output_string
if __name__ == '__main__':
if __name__ == "__main__":
print(f"System Info: {get_system_info()}")
print(f"Python Version: {get_python_version()}")
print(f"CPU Usage: {get_cpu_usage()}%")
@@ -134,17 +144,24 @@ if __name__ == '__main__':
print(f"Process CPU Usage: {current_process.cpu_percent(interval=1)}%") # 实际获取
memory_usage_info = get_memory_usage()
print(f"Memory Usage: Total={memory_usage_info['total_mb']}MB, Used={memory_usage_info['used_mb']}MB, Percent={memory_usage_info['percent']}%")
print(
f"Memory Usage: Total={memory_usage_info['total_mb']}MB, Used={memory_usage_info['used_mb']}MB, Percent={memory_usage_info['percent']}%"
)
process_memory_info = get_process_memory_usage()
print(f"Process Memory Usage: RSS={process_memory_info['rss_mb']}MB, VMS={process_memory_info['vms_mb']}MB, Percent={process_memory_info['percent']}%")
print(
f"Process Memory Usage: RSS={process_memory_info['rss_mb']}MB, VMS={process_memory_info['vms_mb']}MB, Percent={process_memory_info['percent']}%"
)
disk_usage_info = get_disk_usage('/')
print(f"Disk Usage (Root): Total={disk_usage_info['total_gb']}GB, Used={disk_usage_info['used_gb']}GB, Percent={disk_usage_info['percent']}%")
disk_usage_info = get_disk_usage("/")
print(
f"Disk Usage (Root): Total={disk_usage_info['total_gb']}GB, Used={disk_usage_info['used_gb']}GB, Percent={disk_usage_info['percent']}%"
)
print("\n--- All Basic Info (JSON) ---")
all_info = get_all_basic_info()
import json
print(json.dumps(all_info, indent=4, ensure_ascii=False))
print("\n--- All Basic Info (String with Explanations) ---")

View File

@@ -1,5 +1,6 @@
from typing import List, Optional, Dict, Any
import strawberry
# from packaging.version import Version
import os
@@ -158,10 +159,25 @@ class APIBotConfig:
"""
# 检查主层级
required_sections = [
"inner", "bot", "groups", "personality", "identity", "schedule",
"platforms", "chat", "normal_chat", "focus_chat", "emoji", "memory",
"mood", "keywords_reaction", "chinese_typo", "response_splitter",
"remote", "experimental", "model"
"inner",
"bot",
"groups",
"personality",
"identity",
"schedule",
"platforms",
"chat",
"normal_chat",
"focus_chat",
"emoji",
"memory",
"mood",
"keywords_reaction",
"chinese_typo",
"response_splitter",
"remote",
"experimental",
"model",
]
for section in required_sections:
if section not in config:
@@ -193,9 +209,15 @@ class APIBotConfig:
# 检查模型配置
model_keys = [
"llm_reasoning", "llm_normal", "llm_topic_judge", "llm_summary",
"vlm", "llm_heartflow", "llm_observation", "llm_sub_heartflow",
"embedding"
"llm_reasoning",
"llm_normal",
"llm_topic_judge",
"llm_summary",
"vlm",
"llm_heartflow",
"llm_observation",
"llm_sub_heartflow",
"embedding",
]
if "model" not in config:
raise KeyError("缺少 [model] 配置段")
@@ -246,8 +268,15 @@ class APIEnvConfig:
:raises: KeyError, TypeError
"""
required_fields = [
"HOST", "PORT", "PLUGINS", "MONGODB_HOST", "MONGODB_PORT", "DATABASE_NAME",
"CHAT_ANY_WHERE_BASE_URL", "SILICONFLOW_BASE_URL", "DEEP_SEEK_BASE_URL"
"HOST",
"PORT",
"PLUGINS",
"MONGODB_HOST",
"MONGODB_PORT",
"DATABASE_NAME",
"CHAT_ANY_WHERE_BASE_URL",
"SILICONFLOW_BASE_URL",
"DEEP_SEEK_BASE_URL",
]
for field in required_fields:
if field not in config:
@@ -274,15 +303,23 @@ class APIEnvConfig:
# 可选字段类型检查
optional_str_fields = [
"DEEP_SEEK_KEY", "CHAT_ANY_WHERE_KEY", "SILICONFLOW_KEY",
"CONSOLE_LOG_LEVEL", "FILE_LOG_LEVEL",
"DEFAULT_CONSOLE_LOG_LEVEL", "DEFAULT_FILE_LOG_LEVEL"
"DEEP_SEEK_KEY",
"CHAT_ANY_WHERE_KEY",
"SILICONFLOW_KEY",
"CONSOLE_LOG_LEVEL",
"FILE_LOG_LEVEL",
"DEFAULT_CONSOLE_LOG_LEVEL",
"DEFAULT_FILE_LOG_LEVEL",
]
for field in optional_str_fields:
if field in config and config[field] is not None and not isinstance(config[field], str):
raise TypeError(f"{field} 必须为字符串或None")
if "SIMPLE_OUTPUT" in config and config["SIMPLE_OUTPUT"] is not None and not isinstance(config["SIMPLE_OUTPUT"], bool):
if (
"SIMPLE_OUTPUT" in config
and config["SIMPLE_OUTPUT"] is not None
and not isinstance(config["SIMPLE_OUTPUT"], bool)
):
raise TypeError("SIMPLE_OUTPUT 必须为布尔值或None")
# 检查通过