237 lines
9.6 KiB
Python
237 lines
9.6 KiB
Python
import requests
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import json
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from datetime import datetime
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import time
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import random # 新增：用于随机选择User-Agent
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# 全局常见PC端User-Agent列表（包含Chrome、Firefox、Edge等主流浏览器）
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USER_AGENTS = [
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# Chrome
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"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36",
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"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36",
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"Mozilla/5.0 (Windows NT 11.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36",
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# Firefox
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"Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:102.0) Gecko/20100101 Firefox/102.0",
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"Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:109.0) Gecko/20100101 Firefox/115.0",
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# Edge
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"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36 Edg/114.0.1823.67",
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"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36 Edg/112.0.1722.58",
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# Safari (Windows版)
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"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/16.1 Safari/605.1.15",
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# IE兼容模式（少量保留）
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"Mozilla/5.0 (Windows NT 10.0; WOW64; Trident/7.0; rv:11.0) like Gecko"
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]
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def save_point_times(point_id, point_times):
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"""保存工作基点的期数到JSON文件"""
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with open(f'./point_times/{point_id}.txt', 'a', encoding='utf-8') as f:
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# 去重并排序
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point_times = list(set(point_times))
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point_times.sort(reverse=True)
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# 写入文件
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f.writelines([f"{i}\n" for i in point_times])
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# 批量导入断面数据
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def batch_import_sections(data_list):
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"""批量导入断面数据到指定API"""
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url = "http://www.yuxindazhineng.com:3002/api/comprehensive_data/batch_import_sections"
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# 数据格式校验
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for index, item in enumerate(data_list):
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# 检查必填字段
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required_fields = ["account_id","section_id", "mileage", "work_site", "status"]
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for field in required_fields:
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if field not in item:
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return False, f"第{index+1}条数据缺失必填字段：{field}"
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# 校验section_id是否为整数
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if not isinstance(item["section_id"], int):
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return False, f"第{index+1}条数据的section_id必须为整数，实际为：{type(item['section_id']).__name__}"
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# 校验account_id是否为整数
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if not isinstance(item["account_id"], int):
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return False, f"第{index+1}条数据的account_id必须为整数，实际为：{type(item['account_id']).__name__}"
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# 校验字符串字段不为空
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for str_field in ["mileage", "work_site", "status"]:
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if not isinstance(item[str_field], str) or not item[str_field].strip():
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return False, f"第{index+1}条数据的{str_field}必须为非空字符串"
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# 构建请求体
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payload = json.dumps({"data": data_list})
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# 随机选择一个User-Agent
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headers = {
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'User-Agent': random.choice(USER_AGENTS), # 核心修改：随机选择
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'Content-Type': 'application/json',
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'Accept': '*/*',
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'Host': 'www.yuxindazhineng.com:3002',
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'Connection': 'keep-alive'
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}
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print(f'headers:{time.time()}')
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try:
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# 发送POST请求
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response = requests.post(url, headers=headers, data=payload, timeout=60)
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if response.status_code >= 400:
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return False, f"HTTP错误 {response.status_code}：{response.text}"
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return True, response.text
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except requests.exceptions.ConnectionError as e: # 补充异常变量e
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print(f'conn:{e}{time.time()}')
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return batch_import_sections(data_list)
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except requests.exceptions.Timeout as e: # 补充异常变量e
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print(f'timeout:{e}{time.time()}')
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return batch_import_sections(data_list)
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except Exception as e:
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print(f'error:{e}{time.time()}')
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return batch_import_sections(data_list)
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# 批量导入测点数据
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def batch_import_checkpoints(data_list):
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"""批量导入检查点数据到指定API"""
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url = "http://www.yuxindazhineng.com:3002/api/comprehensive_data/batch_import_checkpoints"
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# 构建请求体
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payload = json.dumps({"data": data_list})
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# 随机选择User-Agent
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headers = {
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'User-Agent': random.choice(USER_AGENTS), # 核心修改
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'Content-Type': 'application/json',
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'Accept': '*/*',
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'Host': 'www.yuxindazhineng.com:3002',
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'Connection': 'keep-alive'
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}
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try:
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response = requests.post(url, headers=headers, data=payload, timeout=60)
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response.raise_for_status()
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return response.json()
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except requests.exceptions.HTTPError as e:
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return batch_import_checkpoints(data_list)
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except requests.exceptions.ConnectionError:
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return batch_import_checkpoints(data_list)
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except requests.exceptions.Timeout:
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return batch_import_checkpoints(data_list)
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except json.JSONDecodeError:
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return batch_import_checkpoints(data_list)
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except Exception as e:
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return batch_import_checkpoints(data_list)
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# 导入沉降数据
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def batch_import_settlement_data(settlement_data_list):
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return
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"""批量导入沉降数据到指定API接口"""
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api_url = "http://www.yuxindazhineng.com:3002/api/comprehensive_data/batch_import_settlement_data"
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request_payload = json.dumps({"data": settlement_data_list})
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# 随机选择User-Agent
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request_headers = {
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'User-Agent': random.choice(USER_AGENTS), # 核心修改
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'Content-Type': 'application/json',
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'Accept': '*/*',
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'Host': 'www.yuxindazhineng.com:3002',
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'Connection': 'keep-alive'
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}
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try:
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response = requests.post(
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url=api_url,
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headers=request_headers,
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data=request_payload,
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timeout=60
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)
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response.raise_for_status()
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return response.json()
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except requests.exceptions.HTTPError as http_err:
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return batch_import_settlement_data(settlement_data_list)
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except requests.exceptions.ConnectionError:
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return batch_import_settlement_data(settlement_data_list)
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except requests.exceptions.Timeout:
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return batch_import_settlement_data(settlement_data_list)
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except json.JSONDecodeError:
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return batch_import_settlement_data(settlement_data_list)
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except Exception as unknown_err:
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return batch_import_settlement_data(settlement_data_list)
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# 导入水准数据
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def batch_import_level_data(data_list):
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"""批量导入层级数据到指定API"""
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url = "http://www.yuxindazhineng.com:3002/api/comprehensive_data/batch_import_level_data"
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payload = json.dumps({"data": data_list})
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# 随机选择User-Agent
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headers = {
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'User-Agent': random.choice(USER_AGENTS), # 核心修改
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'Content-Type': 'application/json',
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'Accept': '*/*',
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'Host': 'www.yuxindazhineng.com:3002',
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'Connection': 'keep-alive'
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}
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try:
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response = requests.post(url, headers=headers, data=payload, timeout=60)
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response.raise_for_status()
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return True, response.text
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except requests.exceptions.HTTPError as e:
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return batch_import_level_data(data_list)
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except requests.exceptions.ConnectionError:
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return batch_import_level_data(data_list)
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except requests.exceptions.Timeout:
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return batch_import_level_data(data_list)
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except Exception as e:
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return batch_import_level_data(data_list)
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# 插入原始数据
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def batch_import_original_data(data_list):
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"""批量导入原始数据到指定API"""
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url = "http://www.yuxindazhineng.com:3002/api/comprehensive_data/batch_import_original_data"
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# 校验数据格式
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for i, item in enumerate(data_list):
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required_fields = ["bfpcode", "mtime", "bffb", "bfpl", "bfpvalue", "NYID", "sort"]
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for field in required_fields:
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if field not in item:
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return False, f"第{i+1}条数据缺少必填字段: {field}"
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# 校验mtime格式
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mtime = item["mtime"]
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try:
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datetime.strptime(mtime, "%Y-%m-%d %H:%M:%S")
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except ValueError:
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return False, f"第{i+1}条数据的mtime格式错误，应为'YYYY-MM-DD HH:MM:SS'，实际值: {mtime}"
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# 校验sort是否为整数
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if not isinstance(item["sort"], int):
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return False, f"第{i+1}条数据的sort必须为整数，实际值: {item['sort']}"
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payload = json.dumps({"data": data_list})
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# 随机选择User-Agent
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headers = {
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'User-Agent': random.choice(USER_AGENTS), # 核心修改
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'Content-Type': 'application/json',
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'Accept': '*/*',
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# 'Host': 'www.yuxindazhineng.com:3002',
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'Host': '127.0.0.1:8000',
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'Connection': 'keep-alive'
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}
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try:
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response = requests.post(url, headers=headers, data=payload, timeout=60)
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response.raise_for_status()
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return True, response.text
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except requests.exceptions.HTTPError as e:
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print(f'http_error:{e}{time.time()}')
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return batch_import_original_data(data_list)
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except requests.exceptions.ConnectionError as e:
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print(f'conn_error:{e}{time.time()}')
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return batch_import_original_data(data_list)
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except requests.exceptions.Timeout as e:
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print(f'timeout_error:{e}{time.time()}')
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return batch_import_original_data(data_list)
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except Exception as e:
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print(f'error:{e}{time.time()}')
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return batch_import_original_data(data_list) |