import sys, os
import time
import pandas as pd
project_root = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
if project_root not in sys.path:
    sys.path.insert(0, project_root)

from web.Requests_Except import MR

base_url = 'tstczpw.dtangshan.com'
protocol = 'https'


default_headers = {
    'accept': 'application/json, text/plain, */*',
    'accept-language': 'zh-CN,zh;q=0.9,en;q=0.8,en-GB;q=0.7,en-US;q=0.6',
    'authorization': 'Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpZCI6MTE5NDA2LCJ1c2VybmFtZSI6IuS5iOW9pua4hSIsInB3ZCI6IjI5YmE3OTA3ZDUxNTE4MGNlNGU5ZmY0Mzk4ZmI5OGNiIiwiaWF0IjoxNzQ4NDgxNDQxLCJleHAiOjE3ODAwMTc0NDF9.EaF6zHc8TE-OsmUW_no3S9g-Ch7Af5xxoB1FtN0cY2U',
    'cache-control': 'no-cache',
    'pragma': 'no-cache',
    'priority': 'u=1, i',
    'referer': 'https://tstczpw.dtangshan.com/uc/enterprise/resume-library?tab=resume',
    'sec-ch-ua': '"Chromium";v="136", "Microsoft Edge";v="136", "Not.A/Brand";v="99"',
    'sec-ch-ua-mobile': '?0',
    'sec-ch-ua-platform': '"Windows"',
    'sec-fetch-dest': 'empty',
    'sec-fetch-mode': 'cors',
    'sec-fetch-site': 'same-origin',
    'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/136.0.0.0 Safari/537.36 Edg/136.0.0.0',
    'x-platform': '1',
    'x-site-id': 'undefined'
}

default_cookies = {
    'x-trace-id': 'b1ed266a69b84acfb41a789948b17cf2',
    'logged': '1',
    '__csrf': 'd89b15be-c143-47e1-b6b2-f367e03e54f1',
    'Hm_lvt_f4456766547e6691e07b5e2eced1f70d': '1748435541,1748481435',
    'Hm_lpvt_f4456766547e6691e07b5e2eced1f70d': '1748481435',
    'HMACCOUNT': '212FF4B3AD499E5B',
    'token': 'eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpZCI6MTE5NDA2LCJ1c2VybmFtZSI6IuS5iOW9pua4hSIsInB3ZCI6IjI5YmE3OTA3ZDUxNTE4MGNlNGU5ZmY0Mzk4ZmI5OGNiIiwiaWF0IjoxNzQ4NDgxNDQxLCJleHAiOjE3ODAwMTc0NDF9.EaF6zHc8TE-OsmUW_no3S9g-Ch7Af5xxoB1FtN0cY2U',
}

Requests = MR(base_url, protocol)
Requests.set_default_headers(default_headers)
Requests.set_default_cookies(default_cookies)

pd_data = {
    'resume_id': [],
    '姓名': [],  # user_name
    '求职区域': [],  # area_show
    '学历': [],  # education_level_msg
    '婚姻': [],  # marry_status_show
    '年龄': [],  # user_age
    '求职状态': [],  # work_status_show
    '工作1经历': [],
    '工作2经历': [],
    '工作年限':[],
    '薪资':[],
}

def page_list(page: int = 1) -> str:
    url = '/api/v1/resumes'
    params = {
        '_': str(int(time.time() * 1000)),
        'tab': 'resume',
        'keyword': '财务',
        't':str(int(time.time() * 1000)-200),
        'pageSize': '100',
        'pageIndex': str(page),
        'showStatus': 'true',
    }
    response = Requests.get(url, params=params)
    return response.to_Dict()

def info(data):
    infos = data.data.items
    for info in infos:
        pd_data['resume_id'].append(info.id)
        pd_data['姓名'].append(info.name_value)
        pd_data['求职状态'].append(info.job_instant_value)
        pd_data['工作年限'].append(info.work_exp_value)
        pd_data['婚姻'].append(info.marriage_value)
        pd_data['年龄'].append(info.age)
        if (info.job_salary_from == 0 and info.job_salary_to == 0) or (info.job_salary_from is None and info.job_salary_to is None):
            xinzi = "面议"
        else:
            xinzi = f"{info.job_salary_from}~{info.job_salary_to}"
        pd_data['薪资'].append(xinzi)
        pd_data['学历'].append(info.edu_value)
        pd_data['求职区域'].append(info.job_region_value)
        cateforyArr = info.infoCateforyArrObj
        if len(cateforyArr) == 0:
            pd_data['工作1经历'].append('')
            pd_data['工作2经历'].append('')
        elif len(cateforyArr) == 1:
            pd_data['工作1经历'].append(cateforyArr[0].name)
            pd_data['工作2经历'].append('')
        elif len(cateforyArr) >= 2:
            pd_data['工作1经历'].append(cateforyArr[0].name)
            pd_data['工作2经历'].append(cateforyArr[1].name)

info(page_list(1))

df = pd.DataFrame(pd_data)
df.to_excel(f'{base_url}_财务.xlsx', index=False)