291 lines
11 KiB
Python
291 lines
11 KiB
Python
import os
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import json
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import time
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import requests
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import pandas as pd
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from lxml import etree
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from datetime import datetime
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# --- 基础配置 ---
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DATA_ROOT = "data"
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FRPS_DIR = os.path.join(DATA_ROOT, "frps_106")
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WEATHER_DIR = os.path.join(DATA_ROOT, "weather_82")
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EXCEL_PATH = os.path.join(DATA_ROOT, "error_report.xlsx")
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for d in [FRPS_DIR, WEATHER_DIR]:
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os.makedirs(d, exist_ok=True)
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CONFIG = {
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"106": {
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"base_url": "http://106.75.72.40:7500/api/proxy/tcp",
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"primary_auth": "Basic YWRtaW46bGljYWhr",
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"login_payload": {"username": "admin", "password": "licahk", "recaptcha": ""}
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},
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"82": {
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"base_url": "http://82.156.1.111/weather/php",
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"login": {'username': 'renlixin', 'password': 'licahk', 'login': '123'}
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}
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}
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error_logs = []
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# --- 通用工具函数 ---
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def add_error(source, name, reason, latest_time="N/A"):
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"""记录错误并计算日期差"""
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days_diff = "N/A"
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if latest_time and latest_time != "N/A":
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try:
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clean_date_str = str(latest_time).split()[0].replace('_', '-')
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target_date = datetime.strptime(clean_date_str, "%Y-%m-%d").date()
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today_date = datetime.now().date()
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diff = (today_date - target_date).days
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days_diff = f"滞后 {diff} 天" if diff > 0 else "当天已同步"
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except:
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days_diff = "解析失败"
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error_logs.append({
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"数据来源": source,
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"站点/代理名称": name,
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"错误原因": reason,
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"日期偏移量": days_diff,
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"最新数据时间": latest_time,
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"检查时间": datetime.now().strftime("%Y-%m-%d %H:%M:%S")
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})
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def find_closest_item(items, is_date_level=True):
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"""寻找日期最接近今天的那一项"""
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if not items or not isinstance(items, list): return None
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today = datetime.now()
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scored_items = []
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for item in items:
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if not isinstance(item, dict): continue
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name_val = item.get('name', '')
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path_val = item.get('path', '')
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target_str = name_val if name_val else path_val.split('/')[-1]
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try:
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if is_date_level:
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current_date = datetime.strptime(target_str, "%Y_%m_%d")
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else:
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mod_str = item.get('modified', '')
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if mod_str:
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current_date = datetime.fromisoformat(mod_str.replace('Z', '+00:00'))
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else:
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continue
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diff = abs((today - current_date.replace(tzinfo=None)).total_seconds())
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scored_items.append((diff, item, target_str))
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except:
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continue
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if not scored_items: return None
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scored_items.sort(key=lambda x: x[0])
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return scored_items[0]
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def process_text_content(raw_content):
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if not raw_content: return ""
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lines = str(raw_content).split('\n')
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result, current = [], ""
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for line in lines:
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if " " in line:
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current += line.strip()
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else:
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if current: result.append(current)
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current = line.strip()
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if current: result.append(current)
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return "\n".join(result)
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def save_json(folder, name, data):
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path = os.path.join(folder, f"{name}.json")
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with open(path, 'w', encoding='utf-8') as f:
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json.dump(data, f, indent=4, ensure_ascii=False)
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# --- 106 网站逻辑 ---
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def get_106_dynamic_token(port):
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"""为106特定端口站点执行登录获取 Token"""
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url = f"http://106.75.72.40:{port}/api/login"
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try:
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resp = requests.post(url, json=CONFIG["106"]["login_payload"], timeout=10)
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if resp.status_code == 200:
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return resp.text.strip().replace('"', '')
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except:
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pass
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return None
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def run_106_logic():
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print("\n>>> 开始处理 106 网站 (FRPS - 修正逻辑)...")
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c = CONFIG["106"]
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today_str = datetime.now().strftime("%Y_%m_%d")
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try:
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main_headers = {"Authorization": c["primary_auth"], "User-Agent": "Mozilla/5.0"}
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resp = requests.get(c["base_url"], headers=main_headers, timeout=15)
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if resp.status_code != 200:
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add_error("106网站", "主入口API", f"访问失败: HTTP {resp.status_code}")
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return
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proxies = resp.json().get('proxies', [])
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for item in proxies:
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if not isinstance(item, dict): continue
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name = item.get('name', 'Unknown')
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if not name.lower().endswith('_data'): continue
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# 1. 状态预检 - 离线拦截逻辑
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status_raw = item.get('status', '')
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status = str(status_raw).lower().strip() if status_raw else "unknown"
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# 如果离线，直接保存并记录错误，不再进行后续 API 访问
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if status != 'online':
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add_error("106网站", name, f"设备离线 (当前状态: {status})")
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save_json(FRPS_DIR, name, item)
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continue
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# 2. 识别站点类型并进行在线处理
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name_up = name.upper()
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is_tower_underscore = "TOWER_" in name_up
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is_tower_i = "TOWER" in name_up and not is_tower_underscore
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if not (is_tower_underscore or is_tower_i): continue
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try:
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conf = item.get('conf') or {}
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port = conf.get('remote_port')
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if not port:
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add_error("106网站", name, "配置错误: 缺少 remote_port")
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continue
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# 只有 Online 才获取子站点 Token
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token = get_106_dynamic_token(port)
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if not token:
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add_error("106网站", name, "Token获取失败(登录异常)")
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continue
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headers = {"Authorization": c["primary_auth"], "x-auth": token, "User-Agent": "Mozilla/5.0"}
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# 查找 Data 根目录 (根据类型区分大小写)
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api_root = "/api/resources/Data/" if is_tower_underscore else "/api/resources/data/"
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res2 = requests.get(f"http://106.75.72.40:{port}{api_root}", headers=headers, timeout=10)
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if res2.status_code != 200:
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add_error("106网站", name, f"无法打开Data目录 (HTTP {res2.status_code})")
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continue
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it2 = res2.json().get('items', [])
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best_date = find_closest_item(it2, is_date_level=True)
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if not best_date or best_date[2] != today_str:
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add_error("106网站", name, "未找到今日文件夹", best_date[2] if best_date else "N/A")
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if not best_date: continue
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date_path = f"{api_root}{best_date[2]}/"
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# 查找文件夹内最新文件
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res3 = requests.get(f"http://106.75.72.40:{port}{date_path}", headers=headers, timeout=10)
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it3 = res3.json().get('items', [])
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best_file = find_closest_item(it3, is_date_level=False)
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if not best_file:
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add_error("106网站", name, "文件夹内无文件", best_date[2])
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continue
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file_item = best_file[1]
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full_path = file_item.get('path') or f"{date_path}{file_item.get('name')}"
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# 3. 根据类型下载内容
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if is_tower_i:
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# TowerI 模式：使用 raw 接口获取二进制
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raw_url = f"http://106.75.72.40:{port}/api/raw{full_path}"
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res4 = requests.get(raw_url, headers=headers, timeout=20)
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if res4.status_code == 200:
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save_path = os.path.join(FRPS_DIR, f"{name}_{today_str}.bin")
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with open(save_path, 'wb') as f:
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f.write(res4.content)
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print(f" ✅ {name} 二进制数据保存成功")
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else:
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# Tower_ 模式：使用 resources 接口获取 JSON
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file_api_url = f"http://106.75.72.40:{port}/api/resources{full_path}"
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res4 = requests.get(file_api_url, headers=headers, timeout=20)
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file_json = res4.json()
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raw_content = file_json.get('content', '') if file_json else None
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if raw_content:
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save_path = os.path.join(FRPS_DIR, f"{name}_{today_str}.json")
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with open(save_path, 'w', encoding='utf-8') as f:
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f.write(process_text_content(raw_content))
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print(f" ✅ {name} JSON数据保存成功")
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else:
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add_error("106网站", name, "文件内容为空", best_date[2])
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except Exception as e:
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add_error("106网站", name, f"站点处理崩溃: {str(e)}")
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except Exception as e:
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add_error("106网站", "全局逻辑", f"主进程崩溃: {str(e)}")
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# --- 82 网站逻辑 (保持原样) ---
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def run_82_logic():
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print("\n>>> 开始处理 82 网站 (Weather)...")
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c = CONFIG["82"]
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session = requests.Session()
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today_fmt = datetime.now().strftime("%Y-%m-%d")
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try:
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session.post(f"{c['base_url']}/login.php", data=c["login"], timeout=10)
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resp = session.post(f"{c['base_url']}/GetStationList.php", timeout=10)
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if resp.status_code != 200:
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add_error("82网站", "登录模块", f"无法获取列表: HTTP {resp.status_code}")
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return
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stations = etree.HTML(resp.content).xpath('//option/@value')
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stations = [s for s in stations if s and str(s).strip()]
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for sid in stations:
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try:
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r = session.post(f"{c['base_url']}/getLastWeatherData.php", data=str(sid),
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headers={'Content-Type': 'text/plain'}, timeout=10)
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if r.status_code != 200:
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add_error("82网站", sid, f"请求失败: HTTP {r.status_code}")
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continue
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data = r.json()
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if data is None:
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add_error("82网站", sid, "返回 Null 数据")
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continue
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d_list = data.get('date', [])
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if not d_list:
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add_error("82网站", sid, "返回结果中无日期列表")
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else:
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latest = str(d_list[-1])
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if latest.split()[0] != today_fmt:
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add_error("82网站", sid, "数据非当天更新", latest)
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save_json(WEATHER_DIR, sid, data)
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time.sleep(0.1)
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except Exception as e:
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add_error("82网站", sid, f"数据解析异常: {str(e)}")
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except Exception as e:
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add_error("82网站", "初始化模块", str(e))
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# --- 汇总导出 ---
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def export_to_excel():
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if not error_logs:
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print("\n[✔] 未发现错误记录。")
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return
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df = pd.DataFrame(error_logs)
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cols = ["数据来源", "站点/代理名称", "错误原因", "日期偏移量", "最新数据时间", "检查时间"]
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df = df[[c for c in cols if c in df.columns]]
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df.to_excel(EXCEL_PATH, index=False)
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print(f"\n[!] 错误报表已生成至: {EXCEL_PATH} (共 {len(error_logs)} 条)")
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if __name__ == "__main__":
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run_106_logic()
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run_82_logic()
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export_to_excel()
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print("\n任务全部完成。") |