def test_collect(start_expr: str, end_expr: str, start_cnt: int,
end_cnt: int) -> None:
collected = Collector.collect(
user="******",
date_range=DateRange(
start=date.fromisoformat(start_expr),
end=date.fromisoformat(end_expr),
),
)
# Use mangled variable for test only
assert collected._Extractor__user == "lntuition"
assert collected._Extractor__df.iloc[0]["date"] == pd.Timestamp(start_expr)
assert collected._Extractor__df.iloc[-1]["date"] == pd.Timestamp(end_expr)
assert collected._Extractor__df.iloc[0]["count"] == pd.to_numeric(
start_cnt)
assert collected._Extractor__df.iloc[-1]["count"] == pd.to_numeric(end_cnt)
from src.collector import Collector
if __name__ == "__main__":
collector = Collector()
#Для удобства я использую сортировку страниц сайта, поэтому такая ссылка
starturl = "http://tenders.polyusgold.com/purchases/?NAME=&CODE=&BU=&PT=&ORDER=DATE_ACTIVE_TO%3AASC"
archiveurl = "http://tenders.polyusgold.com/archive/?NAME=&BU=&PT=&ORDER=DATE_ACTIVE_TO%3ADESC"
#Запускаем активные и архив по очереди,передавая статус и время
p = collector.collect(starturl, "2", None)
print("checking archive ...")
collector.collect(archiveurl, "3", p)
from src.collector import Collector
from src.config.req import config
from time import sleep
if __name__ == '__main__':
clc = Collector()
while True:
clc.collect()
print('Sleeping...')
sleep(config.sleep_time)
from time import sleep
from src.collector import Collector
from settings import sleep_time
if __name__ == "__main__":
collector = Collector(quantity=None,
publish_date=None,
base_url='https://etpgpb.ru')
while True:
collector.collect()
#break
sleep(sleep_time)
phpsessid = 't4cjka7f4nedrmmq7dubipji16'
# 日记内容保存路径
content_file_path = 'data/content.txt'
# 日记时间保存路径
time_file_path = 'data/time.txt'
# 词云图片保存路径
content_png_path = 'data/content.png'
# 统计时间柱状图保存路径
time_png_path = 'data/time.png'
# 爬取数据
# url: 某个人的饭否主页
# phpsessid: 登录饭否后浏览器 Cookie 中的值
# content_file_path: 日记内容保存路径
# time_file_path: 日记时间保存路径
Collector.collect(url, phpsessid, content_file_path, time_file_path)
# 分词，制作词云
# content_file_path: 日记内容保存路径
# content_png_path: 词云图片保存路径
Analyzer.segment_and_visualize(content_file_path, content_png_path)
# 统计发日记时间
# time_file_path: 日记时间保存路径
# time_png_path: 时间柱状图保存路径
Analyzer.count_times(time_file_path, time_png_path)
import os
from datetime import date
from src.collector import Collector
from src.date import DateRange
from src.extractor import Extractor
from src.skeleton import SkeletonFactory
from src.writer import Writer
if __name__ == "__main__":
factory = SkeletonFactory(
language=os.environ["INPUT_LANGUAGE"],
)
Writer(
extractor=Collector.collect(
user=os.environ["INPUT_USER"],
date_range=DateRange(
start=date.fromisoformat(os.environ["INPUT_START_DATE"]),
end=date.fromisoformat(os.environ["INPUT_END_DATE"]),
),
),
skeleton_string_map=factory.get_string_map(),
skeleton_list_map=factory.get_list_map(),
).write(
file_name=os.environ["INPUT_FILE_NAME"],
)