import requests
import json
import xlwings as xw
from pprint import pprint
import pandas as pd

def getMap(url,params,headers,path):
    response = requests.get(url=url,headers=headers,params=params)
    results = json.loads(response.content)
    data = results['data']
    name = []
    amount = []
    upstream = []
    percent = []
    Type = []
    for item in data:
        if (item['name']==None) or (item['amount'] + item['upstream'] + item['percent'] <= 0.00001):
            continue
        name.append(item['name'])
        amount.append(item['amount']) # 当前过程的碳排放
        upstream.append(item['upstream']) # 当前过程加上上游的碳排放
        percent.append(item['percent']) # 影响百分比
        Type.append(item['type']) # 所述的过程类型
    
    df = pd.DataFrame({"name":name,"amount":amount,"upstream":upstream,"percent":percent,"type":Type})
    path = f"/home/zhangxj/WorkFile/LCA-GPT/DataAnalysis/lciaData/{path}.csv"
    df.to_csv(path,index=False)
    return df

if __name__ == '__main__':

# map数据的url
    url = 'https://lca.qibebt.ac.cn/lca/analysis/lcia/map?taskId=1280544753347198976&categoryId=44645932&t=1725347326992'
    params = {
        'taskId':'1268567356305571840',
        'categoryId': '43260647',
        't': '1722491855892'
    }
    headers = {
        'accept':'application/json, text/plain, */*',
        'accept-encoding':'gzip, deflate, br, zstd',
        'accept-language':'zh-CN',
        'authorization':'Bearer d88024bb-6434-4adf-91fb-52dff44261c3',
        'priority':'u=1, i',
        'referer':'https://lca.qibebt.ac.cn/',
        'user-agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0 Safari/537.36'
    }
    name = "风力发电机"
    getMap(url,params,headers,name)