python——农业品种信息数据

import json
import requests
import simplejson
import csv

if __name__ == '__main__':
    # JudgementRegionIDs:[]
    # CropIDs:[]
    JudgementRegionID ="河南省" #填入相应的地区名字
    CropID="水稻" #填写农作的名字

	# 获取品种的信息
    rowList = []
    tatol = 1
    #第一遍是为了获取总页数
    for i in range(tatol):
        url = 'http://202.127.42.145/VarietyAuthorize/GetVarietyAuthorizeList?VarietyName=&CropID='+CropID+'&JudgementRegionID=' + JudgementRegionID + '&_search=false&nd=1657287045191&rows=20&page=' + str(
            i + 1) + '&sidx=&sord=asc'

        headers = {
            'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'

        }
        res = requests.get(url=url, headers=headers).json()
        tatol = res["total"]

    #  正式开始获取数据并存储   如果超时改range()
    for i in range(tatol):
        url = 'http://202.127.42.145/VarietyAuthorize/GetVarietyAuthorizeList?VarietyName=&CropID='+CropID+'&JudgementRegionID=' + JudgementRegionID + '&_search=false&nd=1657287045191&rows=20&page=' + str(
            i + 1) + '&sidx=&sord=asc'

        headers = {
            'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'

        }
        res = requests.get(url=url, headers=headers).json()
        rows = res["rows"]
        rowList.append(rows)
    #从获取的信息中获取国标号
    newList = []
    JudgementNo = []
    for rows in rowList:
        for item in rows:
            JudgementNo.append(item["JudgementNo"].strip())
    print(len(JudgementNo))
    print(JudgementNo)
    #通过国标号获取对应品种的详细信息
    dataList = []
    for item in JudgementNo:

        urls = "http://202.127.42.145/bigdataNew/BA/GetAnnouncementInfo?judgementNo=" + item
        res = requests.get(url=urls, headers=headers).text
        res = res.replace("\", "")[2:-2]
        print(item)
        #有些数据json处理失败，直接抛出错误
        try:
            res = simplejson.loads(res)
        except:continue
        dataList.append(res)
    print(len(dataList))
    print("-------")
    #从获取的品种信息中提取有需要的信息
    list = []
    for obj in dataList:
        dist = {}
        dist["JudgementNo"] = obj["JudgementNo"].strip()
        dist["CropID"] = obj["CropID"].strip()
        dist["JudgementYear"] = str(obj["JudgementYear"]).strip()
        dist["JudgementRegionID"] = obj["JudgementRegionID"].strip()
        dist["ApplyCompany"] = obj["ApplyCompany"].strip()
        dist["IsTransgenosis"] = obj["IsTransgenosis"].strip()
        dist["VarietySource"] = obj["VarietySource"].strip()
        dist["VarietyCharacter"] = obj["VarietyCharacter"].strip()
        dist["OutputExpression"] = obj["OutputExpression"].strip()
        dist["PlantRequirment"] = obj["PlantRequirment"].strip()
        dist["JudgementSuggestion"] = obj["JudgementSuggestion"].strip()

        list.append(dist)
	#将处理好的信息存储下来
    with open('./static/'+JudgementRegionID+CropID+'.csv', 'w', encoding="utf-8") as csvfile:
        writer = csv.writer(csvfile)
        writer.writerow(
            ['JudgementNo', 'CropID', "JudgementYear", "JudgementRegionID", "ApplyCompany", "IsTransgenosis",
             "VarietySource", "VarietyCharacter", "OutputExpression", "PlantRequirment", "JudgementSuggestion"])
        for i in list:
            writer.writerow(
                [i["JudgementNo"], i["CropID"], i["JudgementYear"], i["JudgementRegionID"], i["ApplyCompany"],
                 i["IsTransgenosis"], i["VarietySource"], i["VarietyCharacter"], i["OutputExpression"],
                 i["PlantRequirment"], i["JudgementSuggestion"]])