from bs4 import BeautifulSoup
import requests
import csv
def ask_url(url):
    head = {
        "User-Agent":
"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36 Edg/122.0.0.0"
    }
    try:
        r = requests.get(url, headers=head, timeout=30)
        r.raise_for_status()
        r.encoding = 'utf-8'
        return r.text
    except:
        return ""

def get_data(base_url):
    data_list = []

    for i in range(0, 10):
        url = base_url + str(i + 1)
        html = ask_url(url)
        if html == "":
            continue
        soup = BeautifulSoup(html, 'lxml')
        for item in soup.find_all('div', class_="result_item"):
            data = {}

            if item.div.p.span.string == "疾病":
                data['diseaseName'] = item.div.p.a.string

                symptoms = []
                p = item.find('p', class_='result_item_content_label')
                for symptom in p.find_all('a'):
                    symptoms.append(symptom.string)

                sub_url = item.div.p.a.attrs["href"]
                sub_html = ask_url(sub_url)
                if sub_html == "":
                    continue
                sub_soup = BeautifulSoup(sub_html, 'html.parser')

                information_ul = sub_soup.find('ul', class_="information_ul")
                for detail in information_ul.find_all('li'):
                    if detail.i.string == '别名：':
                        data['diseaseAlias'] = detail.span.string
                    elif detail.i.string == '发病部位：':
                        data['siteOfOnset'] = []
                        for site in detail.span.find_all('a'):
                            data['siteOfOnset'].append(site.string)
                    elif detail.i.string == '传染性：':
                        data['infectivity'] = detail.span.string
                    elif detail.i.string == '多发人群：':
                        data['multiplePopulation'] = detail.span.string
                    elif detail.i.string == '并发症：':
                        data['complication'] = []
                        for complication in detail.span.find_all('a'):
                            data['complication'].append(complication.string)
                    elif detail.i.string == '挂号科室：':
                        data['registrationDepartment'] = []
                        for department in detail.span.find_all('a'):
                            data['registrationDepartment'].append(department.string)
                    elif detail.i.string == '临床检查：':
                        data['clinicalExamination'] = []
                        for examination in detail.span.find_all('a'):
                            data['clinicalExamination'].append(examination.string)
                    elif detail.i.string == '典型症状：':
                        for symptom in detail.span.find_all('a'):
                            symptoms.append(symptom.string)
                        data['commonDrugs'] = symptoms

                information_ul1 = sub_soup.find('ul', class_="information_ul information_ul_bottom")
                for detail in information_ul1.find_all('li'):
                    if detail.i.string == '常用药品：':
                        data['commonDrugs'] = []
                        for drug in detail.span.find_all('a'):
                            data['commonDrugs'].append(drug.string)

            data_list.append(data)

    return data_list

def save_data(data_list, save_path):
    with open(save_path, 'w', newline='', encoding='utf-8') as csvfile:
        fieldnames = ["diseaseName", "diseaseAlias", "siteOfOnset", "infectivity", "multiplePopulation", "complication", "registrationDepartment", "clinicalExamination", "commonDrugs"]
        writer = csv.DictWriter(csvfile, fieldnames=fieldnames)

        writer.writeheader()
        for data in data_list:
            writer.writerow(data)
    return ""

if __name__ == "__main__":
    base_url = "https://jbk.39.net/bw/jizhenke_p"
    save_path = "D:\数据采集\PycharmProjects\pythonProject\数据采集\文件\疾病.csv"

    data_list = get_data(base_url)
    save_data(data_list, save_path)