添加后台进程修复等功能

This commit is contained in:
z66
2025-08-26 09:31:11 +08:00
parent 92afcbd14f
commit c0f7bef56a
3 changed files with 1383 additions and 342 deletions
+657 -121
View File
@@ -1,106 +1,332 @@
from flask import Flask, render_template, request, jsonify from flask import Flask, render_template, request, jsonify
from flask_cors import CORS # 处理跨域
import os import os
import subprocess import subprocess
import json import json
import threading import threading
import time import time
import schedule # 定时任务库
from urllib.parse import unquote from urllib.parse import unquote
from datetime import datetime
# ====================== 基础配置 ======================
app = Flask(__name__) app = Flask(__name__)
# 允许所有跨域请求(外网访问必备)
CORS(app, resources=r"/*")
# 配置 # 目录配置(自动创建不存在的目录)
TASKS_DIR = os.path.join(os.getcwd(), 'tasks') BASE_DIR = os.getcwd()
CONFIG_FILE = 'config.json' TASKS_DIR = os.path.join(BASE_DIR, "tasks") # 脚本存储目录
LOG_LINES = 200 LOG_DIR = os.path.join(BASE_DIR, "logs") # 日志存储目录
CONFIG_FILE = os.path.join(BASE_DIR, "config.json") # 配置文件
PROCESSES_FILE = os.path.join(BASE_DIR, "processes.json") # 进程持久化文件
# 全局变量 # 常量配置
SCRIPT_CONFIGS = {} LOG_LINES = 200 # 内存中保留的日志行数(防止内存溢出)
running_processes = {} MONITOR_INTERVAL = 10 # 长期脚本监控间隔(秒)
script_outputs = {} SCHEDULER_INTERVAL = 1 # 定时任务调度间隔(秒)
os.makedirs(TASKS_DIR, exist_ok=True) # ====================== 全局变量 ======================
SCRIPT_CONFIGS = {} # 脚本配置:{脚本名: {mode, interval, unit...}}
running_processes = {} # 长期运行的进程:{脚本名: subprocess.Popen对象}
script_outputs = {} # 内存日志缓存:{脚本名: [日志行1, 日志行2...]}
scheduled_jobs = {} # 定时任务:{脚本名: schedule.Job对象}
scheduler_running = True # 定时调度器运行标志
monitor_running = True # 长期脚本监控运行标志
# ====================== 初始化函数 ======================
def init_dirs():
"""初始化必要目录(tasks/logs"""
for dir_path in [TASKS_DIR, LOG_DIR]:
if not os.path.exists(dir_path):
os.makedirs(dir_path, exist_ok=True)
app.logger.info(f"创建目录:{dir_path}")
def load_configs(): def load_configs():
"""加载脚本配置(从config.json"""
global SCRIPT_CONFIGS global SCRIPT_CONFIGS
try: try:
if os.path.exists(CONFIG_FILE): if os.path.exists(CONFIG_FILE):
with open(CONFIG_FILE, 'r', encoding='utf-8') as f: with open(CONFIG_FILE, "r", encoding="utf-8") as f:
SCRIPT_CONFIGS = json.load(f) SCRIPT_CONFIGS = json.load(f)
if not isinstance(SCRIPT_CONFIGS, dict): # 校验配置格式,确保每个脚本有基础配置
SCRIPT_CONFIGS = {} for script_name, config in SCRIPT_CONFIGS.items():
except: if "mode" not in config:
config["mode"] = "long-running" # 默认长期运行
if config["mode"] == "interval" and ("interval" not in config or "unit" not in config):
config["interval"] = 1
config["unit"] = "hours" # 默认每小时执行
else:
SCRIPT_CONFIGS = {}
app.logger.info("配置文件不存在,初始化空配置")
except Exception as e:
SCRIPT_CONFIGS = {} SCRIPT_CONFIGS = {}
app.logger.error(f"加载配置失败:{str(e)},使用空配置")
def save_configs(): def save_configs():
with open(CONFIG_FILE, 'w', encoding='utf-8') as f: """保存脚本配置到config.json"""
json.dump(SCRIPT_CONFIGS, f, indent=2, ensure_ascii=False) try:
with open(CONFIG_FILE, "w", encoding="utf-8") as f:
json.dump(SCRIPT_CONFIGS, f, indent=2, ensure_ascii=False)
app.logger.info("配置保存成功")
except Exception as e:
app.logger.error(f"保存配置失败:{str(e)}")
raise # 抛出异常让接口返回错误
def save_processes():
"""保存当前运行的长期任务进程信息到文件"""
processes_data = {}
for script_name, proc in running_processes.items():
# 仅保存长期运行模式的进程
if SCRIPT_CONFIGS.get(script_name, {}).get("mode") == "long-running":
processes_data[script_name] = {
"pid": proc.pid,
"script_name": script_name,
"start_time": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
"cmd": proc.args # 记录启动命令(用于校验身份)
}
try:
with open(PROCESSES_FILE, "w", encoding="utf-8") as f:
json.dump(processes_data, f, indent=2, ensure_ascii=False)
app.logger.info("进程信息已持久化")
except Exception as e:
app.logger.error(f"保存进程信息失败:{str(e)}")
def is_process_alive(pid, expected_cmd):
"""验证进程是否存活且命令行匹配"""
try:
# Windows系统通过tasklist获取进程信息
if os.name == "nt":
# 执行tasklist命令获取进程详情
result = subprocess.run(
["tasklist", "/fi", f"PID eq {pid}", "/fo", "csv", "/v"],
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT,
text=True,
encoding="utf-8"
)
output = result.stdout
# 检查PID是否存在
if f"{pid}" not in output:
return False
# 检查命令行是否包含目标脚本路径
script_path = get_script_path(expected_cmd[-1]) # 提取脚本路径
return script_path in output
else:
# Linux/macOS系统
result = subprocess.run(
["ps", "-p", str(pid), "-o", "cmd="],
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT,
text=True
)
return result.returncode == 0 and expected_cmd[-1] in result.stdout
except Exception as e:
app.logger.error(f"验证进程失败:{str(e)}")
return False
def load_processes():
"""程序启动时加载并验证持久化的进程信息"""
global running_processes
if not os.path.exists(PROCESSES_FILE):
return
try:
with open(PROCESSES_FILE, "r", encoding="utf-8") as f:
processes_data = json.load(f)
for script_name, data in processes_data.items():
pid = data["pid"]
cmd = data["cmd"]
# 验证进程是否存活且匹配脚本
if is_process_alive(pid, cmd):
# 构造伪Popen对象(仅保留必要属性用于管理)
proc = subprocess.Popen()
proc.pid = pid
proc.args = cmd
running_processes[script_name] = proc
app.logger.info(f"成功接管进程:{script_name}PID: {pid}")
else:
app.logger.warning(f"进程已结束或不匹配:{script_name}PID: {pid}")
except Exception as e:
app.logger.error(f"加载进程信息失败:{str(e)}")
# ====================== 日志处理函数 ======================
def get_log_path(script_name):
"""获取脚本对应的日志文件路径"""
return os.path.join(LOG_DIR, f"{os.path.splitext(script_name)[0]}.log")
def load_script_log(script_name):
"""加载脚本的历史日志(从日志文件)"""
log_path = get_log_path(script_name)
logs = []
if os.path.exists(log_path):
try:
with open(log_path, "r", encoding="utf-8", errors="ignore") as f:
# 读取最后LOG_LINES行,避免大文件加载缓慢
lines = f.readlines()[-LOG_LINES:]
logs = [line.strip() for line in lines if line.strip()]
except Exception as e:
app.logger.error(f"加载{script_name}日志失败:{str(e)}")
logs = [f"⚠️ 加载历史日志失败:{str(e)}"]
return logs
def write_script_log(script_name, content):
"""写入日志到文件和内存缓存"""
# 格式化日志(带时间戳)
timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
log_line = f"[{timestamp}] {content}"
# 1. 写入内存缓存(保留最后LOG_LINES行)
if script_name not in script_outputs:
script_outputs[script_name] = []
script_outputs[script_name].append(log_line)
script_outputs[script_name] = script_outputs[script_name][-LOG_LINES:]
# 2. 写入日志文件
log_path = get_log_path(script_name)
try:
with open(log_path, "a", encoding="utf-8", errors="ignore") as f:
f.write(log_line + "\n")
except Exception as e:
app.logger.error(f"写入{script_name}日志失败:{str(e)}")
# 同时记录日志写入错误到内存
error_line = f"[{timestamp}] ⚠️ 日志写入失败:{str(e)}"
script_outputs[script_name].append(error_line)
script_outputs[script_name] = script_outputs[script_name][-LOG_LINES:]
# ====================== 定时任务处理 ======================
def add_scheduled_task(script_name):
"""添加定时任务(基于配置的interval和unit"""
global scheduled_jobs
try:
# 获取脚本配置
config = SCRIPT_CONFIGS.get(script_name)
if not config or config["mode"] != "interval":
app.logger.error(f"{script_name}配置无效,无法添加定时任务")
return False
interval = int(config.get("interval", 1))
unit = config.get("unit", "hours")
# 定义定时任务执行函数
def run_scheduled_script():
script_path = get_script_path(script_name)
if not os.path.exists(script_path):
write_script_log(script_name, f"❌ 脚本不存在:{script_path}")
return
# 构建执行命令
if script_name.endswith(".bat"):
cmd = ["cmd", "/c", script_path]
elif script_name.endswith(".py"):
cmd = ["python", script_path]
else:
write_script_log(script_name, "❌ 不支持的脚本类型")
return
# 执行脚本(单次)
try:
write_script_log(script_name, "✅ 定时任务开始执行")
result = subprocess.run(
cmd,
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT,
text=True,
encoding="utf-8",
cwd=TASKS_DIR,
timeout=3600 # 超时1小时(可根据需求调整)
)
# 记录执行结果
if result.returncode == 0:
write_script_log(script_name, "✅ 定时任务执行成功")
if result.stdout:
write_script_log(script_name, f"📝 输出:{result.stdout.strip()}")
else:
write_script_log(script_name, f"❌ 定时任务执行失败(返回码:{result.returncode}")
if result.stdout:
write_script_log(script_name, f"📝 错误输出:{result.stdout.strip()}")
except Exception as e:
write_script_log(script_name, f"❌ 定时任务执行异常:{str(e)}")
# 根据unit设置定时频率
job = None
if unit == "minutes":
job = schedule.every(interval).minutes.do(run_scheduled_script)
elif unit == "hours":
job = schedule.every(interval).hours.do(run_scheduled_script)
elif unit == "days":
job = schedule.every(interval).days.do(run_scheduled_script)
else:
write_script_log(script_name, f"❌ 不支持的时间单位:{unit}")
return False
# 保存定时任务
scheduled_jobs[script_name] = job
write_script_log(script_name, f"⏰ 定时任务已添加(每{interval}{unit}执行一次)")
app.logger.info(f"{script_name}定时任务添加成功(每{interval}{unit}")
return True
except Exception as e:
write_script_log(script_name, f"❌ 添加定时任务失败:{str(e)}")
app.logger.error(f"{script_name}添加定时任务失败:{str(e)}")
return False
def remove_scheduled_task(script_name):
"""移除定时任务"""
global scheduled_jobs
if script_name in scheduled_jobs:
schedule.cancel_job(scheduled_jobs[script_name])
del scheduled_jobs[script_name]
write_script_log(script_name, "⏹️ 定时任务已移除")
app.logger.info(f"{script_name}定时任务移除成功")
return True
return False
def run_scheduler():
"""定时任务调度线程(循环检查任务)"""
global scheduler_running
app.logger.info("定时任务调度线程已启动")
while scheduler_running:
schedule.run_pending()
time.sleep(SCHEDULER_INTERVAL)
app.logger.info("定时任务调度线程已停止")
# ====================== 长期运行脚本处理 ======================
def get_script_path(script_name): def get_script_path(script_name):
"""获取脚本的完整路径"""
return os.path.join(TASKS_DIR, script_name) return os.path.join(TASKS_DIR, script_name)
@app.route('/') def start_long_running_script(script_name):
def index(): """启动长期运行的脚本(带输出捕获)"""
return render_template('index.html')
@app.route('/api/scripts')
def api_scripts():
if not os.path.exists(TASKS_DIR):
return jsonify([])
files = []
for f in os.listdir(TASKS_DIR):
path = os.path.join(TASKS_DIR, f)
if os.path.isfile(path) and f.endswith(('.bat', '.py')):
files.append(f)
return jsonify(sorted(files))
@app.route('/api/config')
def api_get_config():
return jsonify(SCRIPT_CONFIGS)
@app.route('/api/config', methods=['POST'])
def api_save_config():
try:
data = request.get_json()
if not isinstance(data, dict):
return jsonify({"error": "Invalid data format"}), 400
for script_name, config in data.items():
SCRIPT_CONFIGS[script_name] = config
save_configs()
return jsonify({"msg": "配置已保存"})
except Exception as e:
return jsonify({"error": str(e)}), 500
@app.route('/api/start/<script_name>')
def api_start_script(script_name):
script_name = unquote(script_name)
if script_name not in SCRIPT_CONFIGS:
return jsonify({"error": "未找到配置"}), 404
if script_name in running_processes:
return jsonify({"error": "已在运行"}), 400
script_path = get_script_path(script_name) script_path = get_script_path(script_name)
if not os.path.exists(script_path): if not os.path.exists(script_path):
return jsonify({"error": f"脚本不存在: {script_path}"}), 404 write_script_log(script_name, f"脚本不存在{script_path}")
return False
if script_name.endswith('.bat'): # 构建执行命令
cmd = ['cmd', '/c', script_path] if script_name.endswith(".bat"):
elif script_name.endswith('.py'): cmd = ["cmd", "/c", script_path]
cmd = ['python', script_path] elif script_name.endswith(".py"):
cmd = ["python", script_path]
else: else:
return jsonify({"error": "不支持的类型"}), 400 write_script_log(script_name, "不支持的脚本类型")
return False
# 定义子线程执行函数
def target(): def target():
try: try:
proc = subprocess.Popen( proc = subprocess.Popen(
@@ -109,73 +335,383 @@ def api_start_script(script_name):
stderr=subprocess.STDOUT, stderr=subprocess.STDOUT,
stdin=subprocess.PIPE, stdin=subprocess.PIPE,
text=True, text=True,
encoding='utf-8', encoding="utf-8",
errors="ignore",
cwd=TASKS_DIR cwd=TASKS_DIR
) )
# 记录运行中的进程
running_processes[script_name] = proc running_processes[script_name] = proc
script_outputs[script_name] = [] write_script_log(script_name, "✅ 长期运行脚本已启动")
# 保存进程信息
save_processes()
while True: # 实时捕获输出
while proc.poll() is None:
line = proc.stdout.readline() line = proc.stdout.readline()
if line: if line:
line = f"[{time.strftime('%H:%M:%S')}] {line.strip()}" write_script_log(script_name, line.strip())
script_outputs[script_name].append(line) time.sleep(0.1) # 减少CPU占用
script_outputs[script_name] = script_outputs[script_name][-LOG_LINES:]
if proc.poll() is not None:
break
except Exception as e:
script_outputs.setdefault(script_name, []).append(f"❌ 执行错误: {e}")
finally:
running_processes.pop(script_name, None)
# 进程退出处理
exit_code = proc.returncode
if exit_code == 0:
write_script_log(script_name, f"️ 脚本正常退出(返回码:{exit_code}")
else:
write_script_log(script_name, f"❌ 脚本异常退出(返回码:{exit_code}")
except Exception as e:
write_script_log(script_name, f"❌ 脚本执行异常:{str(e)}")
finally:
# 移除进程记录(监控线程会重启)
running_processes.pop(script_name, None)
save_processes() # 更新进程信息
app.logger.info(f"{script_name}长期运行进程已退出")
# 启动子线程
thread = threading.Thread(target=target, daemon=True) thread = threading.Thread(target=target, daemon=True)
thread.start() thread.start()
return jsonify({"msg": f"✅ 开始执行: {script_name}"}) return True
@app.route('/api/stop/<script_name>') def monitor_long_running_scripts():
def api_stop_script(script_name): """监控长期运行的脚本(仅重启长期模式脚本,排除单次/定时)"""
script_name = unquote(script_name) global monitor_running
if script_name not in running_processes: app.logger.info("长期脚本监控线程已启动")
return jsonify({"msg": "未在运行"}) while monitor_running:
# 遍历所有配置,仅处理「长期运行」模式的脚本
for script_name, config in SCRIPT_CONFIGS.items():
if config.get("mode") == "long-running": # 仅长期模式需要监控重启
# 检查脚本是否在运行(进程存在且未退出)
is_running = script_name in running_processes and running_processes[script_name].poll() is None
if not is_running:
app.logger.info(f"{script_name}长期脚本未运行,尝试重启")
write_script_log(script_name, "⚠️ 脚本未运行,尝试重启...")
start_long_running_script(script_name)
time.sleep(MONITOR_INTERVAL) # 每10秒检查一次
app.logger.info("长期脚本监控线程已停止")
proc = running_processes[script_name]
proc.terminate() # ====================== 单次运行脚本处理 ======================
def start_single_run_script(script_name):
"""启动单次运行的脚本(执行一次后停止)"""
script_path = get_script_path(script_name)
if not os.path.exists(script_path):
write_script_log(script_name, f"❌ 脚本不存在:{script_path}")
return False
# 构建执行命令
if script_name.endswith(".bat"):
cmd = ["cmd", "/c", script_path]
elif script_name.endswith(".py"):
cmd = ["python", script_path]
else:
write_script_log(script_name, "❌ 不支持的脚本类型")
return False
# 定义子线程执行函数
def target():
try:
write_script_log(script_name, "✅ 单次运行脚本已启动")
# 执行脚本(带超时控制)
proc = subprocess.Popen(
cmd,
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT,
text=True,
encoding="utf-8",
errors="ignore",
cwd=TASKS_DIR
)
# 记录进程(用于停止功能)
running_processes[script_name] = proc
# 实时捕获输出
while proc.poll() is None:
line = proc.stdout.readline()
if line:
write_script_log(script_name, line.strip())
time.sleep(0.1)
# 记录执行结果
exit_code = proc.returncode
if exit_code == 0:
write_script_log(script_name, f"✅ 单次运行脚本执行成功(返回码:{exit_code}")
else:
write_script_log(script_name, f"❌ 单次运行脚本执行失败(返回码:{exit_code}")
except Exception as e:
write_script_log(script_name, f"❌ 单次运行脚本异常:{str(e)}")
finally:
# 移除进程记录(执行完成/异常终止)
running_processes.pop(script_name, None)
app.logger.info(f"{script_name}单次运行脚本已结束")
# 启动子线程
thread = threading.Thread(target=target, daemon=True)
thread.start()
return True
# ====================== Flask接口 ======================
@app.route("/")
def index():
"""前端页面入口"""
return render_template("index.html")
@app.route("/api/scripts")
def api_scripts():
"""获取脚本列表(含修改时间,支持前端排序)"""
try: try:
proc.wait(timeout=5) scripts = []
except: if os.path.exists(TASKS_DIR):
proc.kill() for f in os.listdir(TASKS_DIR):
running_processes.pop(script_name, None) f_path = os.path.join(TASKS_DIR, f)
script_outputs.setdefault(script_name, []).append("⏹️ 已停止") # 仅保留.bat/.py文件
return jsonify({"msg": f"⏹️ 已停止: {script_name}"}) if os.path.isfile(f_path) and f.endswith((".bat", ".py")):
# 获取文件修改时间(时间戳,单位:秒)
modify_time = os.path.getmtime(f_path)
@app.route('/api/status/<script_name>') # 格式化时间为可读格式(备用,前端也可自行格式化)
def api_status(script_name): modify_time_str = datetime.fromtimestamp(modify_time).strftime("%Y-%m-%d %H:%M:%S")
script_name = unquote(script_name) scripts.append({
output = script_outputs.get(script_name, []) "name": f,
is_running = script_name in running_processes "modify_time": modify_time, # 时间戳(用于排序)
return jsonify({ "modify_time_str": modify_time_str # 格式化时间(用于显示)
"running": is_running, })
"output": output # 默认按修改时间降序排序(后端先排序,减少前端计算)
}) scripts_sorted = sorted(scripts, key=lambda x: x["modify_time"], reverse=True)
return jsonify(scripts_sorted), 200
@app.route('/api/send-input/<script_name>', methods=['POST'])
def api_send_input(script_name):
script_name = unquote(script_name)
if script_name not in running_processes:
return jsonify({"error": "脚本未运行"}), 400
proc = running_processes[script_name]
try:
proc.stdin.write(request.data + "\n")
proc.stdin.flush()
return jsonify({"msg": "输入已发送"})
except Exception as e: except Exception as e:
app.logger.error(f"获取脚本列表失败:{str(e)}")
return jsonify({"error": str(e)}), 500 return jsonify({"error": str(e)}), 500
if __name__ == '__main__': @app.route("/api/scripts/search")
def api_script_search():
"""搜索脚本(支持模糊匹配名称)"""
try:
# 获取前端传入的搜索关键词
keyword = request.args.get("keyword", "").strip().lower()
scripts = []
if os.path.exists(TASKS_DIR):
for f in os.listdir(TASKS_DIR):
f_path = os.path.join(TASKS_DIR, f)
if os.path.isfile(f_path) and f.endswith((".bat", ".py")):
# 模糊匹配(不区分大小写)
if keyword in f.lower():
modify_time = os.path.getmtime(f_path)
modify_time_str = datetime.fromtimestamp(modify_time).strftime("%Y-%m-%d %H:%M:%S")
scripts.append({
"name": f,
"modify_time": modify_time,
"modify_time_str": modify_time_str
})
# 按修改时间降序排序
scripts_sorted = sorted(scripts, key=lambda x: x["modify_time"], reverse=True)
return jsonify(scripts_sorted), 200
except Exception as e:
app.logger.error(f"搜索脚本失败:{str(e)}")
return jsonify({"error": str(e)}), 500
@app.route("/api/config")
def api_get_config():
"""获取所有脚本配置"""
return jsonify(SCRIPT_CONFIGS), 200
@app.route("/api/config", methods=["POST"])
def api_save_config():
"""保存脚本配置(支持三种模式)"""
try:
data = request.get_json()
if not isinstance(data, dict):
return jsonify({"error": "无效的配置格式(需为JSON对象)"}), 400
# 更新配置并保存
for script_name, config in data.items():
# 校验配置必填项
if "mode" not in config:
return jsonify({"error": f"{script_name}缺少'mode'配置(支持:long-running/interval/single-run"}), 400
# 仅定时模式需要校验interval和unit,单次/长期模式无需
if config["mode"] == "interval" and ("interval" not in config or "unit" not in config):
return jsonify({"error": f"{script_name}定时模式需配置'interval''unit'"}), 400
# 保存配置
SCRIPT_CONFIGS[script_name] = config
save_configs()
return jsonify({"msg": "配置已保存"}), 200
except Exception as e:
app.logger.error(f"保存配置失败:{str(e)}")
return jsonify({"error": str(e)}), 500
@app.route("/api/start/<script_name>")
def api_start_script(script_name):
"""启动脚本(支持三种模式:长期/定时/单次)"""
script_name = unquote(script_name) # 解码URL编码的脚本名
# 1. 校验前置条件
if script_name not in SCRIPT_CONFIGS:
return jsonify({"error": f"未找到{script_name}的配置,请先保存配置"}), 404
config = SCRIPT_CONFIGS[script_name]
mode = config.get("mode", "long-running") # 默认长期运行
# 2. 根据模式处理
if mode == "long-running":
# 检查是否已在运行
if script_name in running_processes and running_processes[script_name].poll() is None:
return jsonify({"error": f"{script_name}已在运行"}), 400
# 启动长期脚本
success = start_long_running_script(script_name)
if success:
return jsonify({"msg": f"{script_name}(长期运行模式)已启动"}), 200
else:
return jsonify({"error": f"{script_name}启动失败,请查看日志"}), 500
elif mode == "interval":
# 检查是否已添加定时任务
if script_name in scheduled_jobs:
return jsonify({"error": f"{script_name}定时任务已存在"}), 400
# 添加定时任务
success = add_scheduled_task(script_name)
if success:
return jsonify({"msg": f"{script_name}(定时模式)已调度"}), 200
else:
return jsonify({"error": f"{script_name}定时任务添加失败"}), 500
elif mode == "single-run":
# 检查是否已在运行
if script_name in running_processes and running_processes[script_name].poll() is None:
return jsonify({"error": f"{script_name}已在运行"}), 400
# 启动单次脚本
success = start_single_run_script(script_name)
if success:
return jsonify({"msg": f"{script_name}(单次模式)已启动"}), 200
else:
return jsonify({"error": f"{script_name}启动失败,请查看日志"}), 500
else:
return jsonify({"error": f"不支持的运行模式:{mode}"}), 400
@app.route("/api/stop/<script_name>")
def api_stop_script(script_name):
"""停止脚本(根据模式停止对应进程或任务)"""
script_name = unquote(script_name)
config = SCRIPT_CONFIGS.get(script_name)
if not config:
return jsonify({"error": f"未找到{script_name}的配置"}), 404
mode = config.get("mode", "long-running")
stopped = False
# 处理长期运行模式
if mode == "long-running":
if script_name in running_processes:
proc = running_processes[script_name]
try:
# 终止进程
proc.terminate()
# 等待进程退出
time.sleep(1)
if proc.poll() is None:
proc.kill() # 强制终止
stopped = True
running_processes.pop(script_name, None)
save_processes() # 更新进程信息
write_script_log(script_name, "⏹️ 长期运行脚本已停止")
except Exception as e:
app.logger.error(f"停止{script_name}失败:{str(e)}")
return jsonify({"error": f"停止失败:{str(e)}"}), 500
# 处理定时模式
elif mode == "interval":
stopped = remove_scheduled_task(script_name)
# 处理单次运行模式
elif mode == "single-run":
if script_name in running_processes:
proc = running_processes[script_name]
try:
proc.terminate()
time.sleep(1)
if proc.poll() is None:
proc.kill()
stopped = True
running_processes.pop(script_name, None)
write_script_log(script_name, "⏹️ 单次运行脚本已停止")
except Exception as e:
app.logger.error(f"停止{script_name}失败:{str(e)}")
return jsonify({"error": f"停止失败:{str(e)}"}), 500
if stopped:
return jsonify({"msg": f"{script_name}已停止"}), 200
else:
return jsonify({"error": f"{script_name}未在运行或无法停止"}), 400
@app.route("/api/status/<script_name>")
def api_get_status(script_name):
"""获取脚本运行状态和输出日志"""
script_name = unquote(script_name)
config = SCRIPT_CONFIGS.get(script_name, {})
mode = config.get("mode", "long-running")
# 1. 检查运行状态
status = "stopped"
running = False
scheduled = False
if mode == "long-running":
running = script_name in running_processes and running_processes[script_name].poll() is None
status = "running" if running else "stopped"
elif mode == "interval":
scheduled = script_name in scheduled_jobs
status = "scheduled" if scheduled else "stopped"
elif mode == "single-run":
running = script_name in running_processes and running_processes[script_name].poll() is None
status = "running" if running else "stopped"
# 2. 获取调度信息(仅定时模式)
schedule_info = ""
if mode == "interval" and scheduled:
interval = config.get("interval", 1)
unit = config.get("unit", "hours")
schedule_info = f"{interval}{unit}执行一次"
# 3. 获取输出日志(内存缓存 + 历史日志)
logs = load_script_log(script_name) # 加载文件日志
# 合并内存缓存(内存日志更新更快)
if script_name in script_outputs:
logs = logs + script_outputs[script_name][len(logs):]
return jsonify({
"status": status,
"running": running,
"scheduled": scheduled,
"mode": mode,
"schedule_info": schedule_info,
"output": logs
}), 200
# ====================== 程序入口 ======================
def init_app():
"""应用初始化总函数"""
init_dirs()
load_configs() load_configs()
app.run(host='0.0.0.0', port=5000, debug=False) load_processes() # 加载并接管进程
# 启动监控线程和调度线程
threading.Thread(target=monitor_long_running_scripts, daemon=True).start()
threading.Thread(target=run_scheduler, daemon=True).start()
import atexit
# 注册退出钩子,确保进程信息最终被保存
atexit.register(save_processes)
if __name__ == "__main__":
init_app()
# 启动Flask服务(debug模式便于开发,生产环境需关闭)
app.run(host="0.0.0.0", port=5000, debug=True)
+8 -6
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@@ -1,16 +1,18 @@
{ {
"3.bat": { "3.bat": {
"script": "3.bat",
"mode": "interval", "mode": "interval",
"interval": "1", "interval": 1,
"unit": "hours" "unit": "minutes"
}, },
"2.bat": { "2.bat": {
"script": "2.bat",
"mode": "long-running" "mode": "long-running"
}, },
"1.bat": { "1.bat": {
"script": "1.bat", "mode": "single-run"
"mode": "long-running" },
"[object Object]": {
"mode": "interval",
"interval": 1,
"unit": "minutes"
} }
} }
+718 -215
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