def craw_info(self):
'''
爬取官员数据
:return:
'''
global temp, counter
while True:
if len(self.may_officer_info) == 0:
break
officer_data = self.may_officer_info.pop(0)
raw_data = get_html_by_url(officer_data[2])
if raw_data == None:
continue
soup = BeautifulSoup(raw_data, 'html.parser')
is_officer, filter_info = self.officer_filter(soup, officer_data)
if not is_officer:
print('Not Officer: ', filter_info, officer_data)
# self.other_csv_writer.writerow(officer_data)
continue
self.add_officer_info(soup, officer_data)
threadLock_init.acquire()
counter -= 1
if counter == 0:
self.out.close()
self.out_other()
threadLock_init.release()
def fetch_person_index(key, part_url, index_list):
if part_url is None:
return
pro_url = 'http://ldzl.people.com.cn/dfzlk/front/' + part_url
try:
raw_data = get_html_by_url(pro_url)
except:
print('province url is error: ', pro_url)
soup = BeautifulSoup(raw_data, 'html.parser')
div_tag = soup.find('div', class_='fr p2j_reports_right title_2j sjzlk')
city_h2_tags = div_tag.find_all('h2')
city_div_tags = div_tag.find_all('div', class_='zlk_list')
name_set = set()
for i in range(len(city_h2_tags)):
city_name = re.sub(r'\n', '', city_h2_tags[i].get_text())
li_tags = city_div_tags[i].find_all('li')
if len(li_tags) == 0:
continue
for li_tag in li_tags:
district = del_content_blank(li_tag.find('span').get_text())
person_name = li_tag.find('em').get_text()
if person_name not in name_set:
name_set.add(person_name)
person_index = (person_name, key, city_name, district)
print(person_index)
index_list.append(person_index)
return
def get_lemmid_and_pic_url(baike_url):
try:
raw_data = get_html_by_url(baike_url)
except:
print('baike url is error: ', baike_url)
soup = BeautifulSoup(raw_data, 'html.parser')
lemmid = soup.find(
'div', class_='lemmaWgt-promotion-rightPreciseAd').get('data-lemmaid')
pic_div = soup.find('div', class_='summary-pic')
pic_url = ''
if pic_div is not None:
pic_url = pic_div.find('img').get('src')
return lemmid, pic_url
def add_may_officer_info(self, lemmaId):
'''
添加官员的相关人物信息
:param lemmaId: 要添加相关人物的官员id
:return: 相关人物链接
'''
global total_count, success_count
total_count += 1
json_url = 'https://baike.baidu.com/wikiui/api/zhixinmap?lemmaId=' + lemmaId
raw_data = get_html_by_url(json_url)
if raw_data == None:
print("获取相关链接：" + str(success_count) + '/' + str(total_count))
print('may officer info is None')
return []
json_data = json.loads(str(raw_data, encoding='utf-8'))
if not isinstance(json_data, list):
print("获取相关链接：" + str(success_count) + '/' + str(total_count))
print('json is false')
return []
relative_links = []
for item1 in json_data:
if item1['tipTitle'].find('人物') < 0 and item1['tipTitle'].find(
'学者') < 0:
continue
data = item1['data']
for item in data:
name = item['title']
url = item['url']
pic = item['pic']
lemmaid = item['lemmaId']
relative_links.append(url)
threadLock_id_set_and_may_officer.acquire()
if int(lemmaid) not in self.may_id_set:
self.may_id_set.add(int(lemmaid))
off_info = [lemmaid, name, url, pic]
self.may_officer_info.append(off_info)
threadLock_id_set_and_may_officer.release()
print('add may officer info Success!')
success_count += 1
print("获取相关链接：" + str(success_count) + '/' + str(total_count))
return relative_links
def get_index_list():
url = 'http://ldzl.people.com.cn/dfzlk/front/xian35.htm'
raw_data = get_html_by_url(url)
soup = BeautifulSoup(raw_data, 'html.parser')
li_tags = soup.find('div', class_='fl p2j_reports_left').find_all('li')
province_dict = {}
for li_tag in li_tags:
a_tag = li_tag.find('a')
href = a_tag.get('href')
if href == '#':
continue
province_dict[a_tag.get_text()] = href
index_list = []
for key in province_dict.keys():
fetch_person_index(key, province_dict[key], index_list)
return index_list
def get_person_baike_url(row):
name, province, city, district = row
url_list = list()
name_url = "https://baike.baidu.com/search/word?word={0}".format(
urllib.request.quote(name))
html = get_html_by_url(name_url)
soup = BeautifulSoup(html, 'html.parser')
items = soup.select(
'body > div.body-wrapper > div.before-content > div > ul > li')
for item in items:
text = item.getText()[1:]
if province in text or city in text or district in text:
try:
new_name_url = "https://baike.baidu.com" + item.a['href']
url_list.append(new_name_url)
except AttributeError:
url_list.append(name_url)
except TypeError:
url_list.append(name_url)
return url_list
def update_head_image():
"""
该函数主要是更新数据库officer_message表中的数据,主要是对头像图片(head_image)字段的更新,
根据 数据库已存的头像链接字段(head_image_url),爬取图片并将已二进制写入数据库,更新字段
头像图片(head_image)
:return: 无返回内容
"""
Connection = getCon(database='cof', user='******', password='******', host='192.168.10.6')
select_sql = "SELECT id_index, head_image_url FROM crawler.officer_message WHERE officer_message.head_image ='';"
update_sql = "UPDATE crawler.officer_message SET head_image = {0} WHERE id_index = '{1}';"
cur = Connection.cursor()
cur.execute(select_sql)
for line in cur.fetchall():
id_index, head_image_url = line
head_image = get_html_by_url(head_image_url)
finish_update_sql = update_sql.format(psycopg2.Binary(head_image), id_index)
print(finish_update_sql)
cur.execute(finish_update_sql)
Connection.commit()
print(id_index, "的头像已存入")
cur.close()
Connection.close()
if __name__ == '__main__':
f_in = open('../data/官员信息.csv', newline='', encoding='utf-8')
csv_reader = csv.reader(f_in)
f_out = open('../data/官员信息new.csv', 'w', newline='', encoding='utf-8')
csv_writer = csv.writer(f_out, dialect='excel')
i = 0
for row in csv_reader:
sleep(1)
i += 1
print(i)
lemmaId = row[0]
json_url = 'https://baike.baidu.com/wikiui/api/zhixinmap?lemmaId=' + lemmaId
raw_data = get_html_by_url(json_url)
if raw_data == None:
print('may officer info is None')
csv_writer.writerow(row)
continue
json_data = json.loads(str(raw_data, encoding='utf-8'))
if not isinstance(json_data, list):
print('json is false: ', json_data)
csv_writer.writerow(row)
continue
print('find relative links Success!')
off_infos = []
for item1 in json_data: