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script.py
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script.py
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"""
@ProjectName: DXY-2019-nCoV-Crawler
@FileName: script.py
@Author: Jiabao Lin
@Date: 2020/1/31
"""
from github3 import login
from dotenv import load_dotenv
from pymongo import MongoClient
import os
import json
import time
import logging
import datetime
import pandas as pd
# Load environment parameters
load_dotenv()
# Logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(message)s')
logger = logging.getLogger(__name__)
# Database connection
client = MongoClient(os.getenv('MONGO_URI'))
db = client['2019-nCoV']
collections = {
'DXYOverall': 'overall',
'DXYArea': 'area',
'DXYNews': 'news',
'DXYRumors': 'rumors'
}
files = (
'csv/DXYOverall.csv', 'csv/DXYArea.csv', 'csv/DXYNews.csv', 'csv/DXYRumors.csv',
'json/DXYOverall.json', 'json/DXYArea.json', 'json/DXYNews.json', 'json/DXYRumors.json'
)
time_types = ('pubDate', 'createTime', 'modifyTime', 'dataInfoTime', 'crawlTime', 'updateTime')
class DB:
def __init__(self):
self.db = db
def count(self, collection: str):
return self.db[collection].count_documents(filter={})
def dump(self, collection: str):
return self.db[collection].aggregate(
pipeline=[
{
'$sort': {
'updateTime': -1,
'crawlTime': -1
}
}
],
allowDiskUse=True
)
class Listener:
def __init__(self):
self.db = DB()
def run(self):
while True:
self.updater()
time.sleep(
(
# Update every 24 hours
datetime.timedelta(hours=24) - (datetime.datetime.now() - datetime.datetime.now().replace(hour=0, minute=0, second=0, microsecond=0))
).total_seconds()
)
@staticmethod
def github_manager():
# GitHub connection
github = login(token=os.getenv('GITHUB_TOKEN'))
github.session.default_read_timeout = 20
github.session.default_connect_timeout = 20
repository = github.repository(owner='BlankerL', repository='DXY-COVID-19-Data')
release = repository.create_release(
tag_name='{tag_name}'.format(
tag_name=datetime.datetime.today().strftime('%Y.%m.%d')
)
)
for file in files:
logger.info('Uploading: ' + file.split('/')[-1])
release.upload_asset(
content_type='application/text',
name=file.split('/')[-1],
asset=open(
file=os.path.join(
os.path.split(os.path.realpath(__file__))[0], file
),
mode='rb'
)
)
def updater(self):
for collection in collections:
cursor = self.db.dump(collection=collection)
self.csv_dumper(collection=collection, cursor=cursor)
logger.info(collection + '.csv dumped!')
cursor = self.db.dump(collection=collection)
self.db_dumper(collection=collection, cursor=cursor)
logger.info(collection + '.json dumped!')
self.github_manager()
logger.info(f'Upload session complete for {datetime.datetime.today().date()}.')
def csv_dumper(self, collection: str, cursor):
if collection == 'DXYArea':
structured_results = list()
for document in cursor:
if document.get('cities', None):
for city_counter in range(len(document['cities'])):
city_dict = document['cities'][city_counter]
structured_results.append(self.dict_parser(document=document, city_dict=city_dict))
else:
structured_results.append(self.dict_parser(document=document))
df = pd.DataFrame(structured_results)
df.to_csv(
path_or_buf=os.path.join(
os.path.split(os.path.realpath(__file__))[0], 'csv', collection + '.csv'),
index=False, encoding='utf_8_sig', float_format="%i"
)
elif collection == 'DXYOverall':
df = pd.DataFrame(data=cursor)
for time_type in time_types:
if time_type in df.columns:
df[time_type] = df[time_type].apply(lambda x: datetime.datetime.fromtimestamp(x / 1000) if not pd.isna(x) else '')
del df['_id']
del df['infectSource']
del df['passWay']
del df['virus']
df.to_csv(
path_or_buf=os.path.join(
os.path.split(os.path.realpath(__file__))[0], 'csv', collection + '.csv'),
index=False, encoding='utf_8_sig', date_format="%Y-%m-%d %H:%M:%S"
)
else:
df = pd.DataFrame(data=cursor)
for time_type in time_types:
if time_type in df.columns:
df[time_type] = df[time_type].apply(lambda x: datetime.datetime.fromtimestamp(x / 1000) if not pd.isna(x) else '')
df.to_csv(
path_or_buf=os.path.join(
os.path.split(os.path.realpath(__file__))[0], 'csv', collection + '.csv'),
index=False, encoding='utf_8_sig', date_format="%Y-%m-%d %H:%M:%S"
)
@staticmethod
def db_dumper(collection: str, cursor):
data = list()
if collection != 'DXYArea':
for document in cursor:
document.pop('_id')
if document.get('comment'):
document.pop('comment')
data.append(document)
else:
for document in cursor:
document.pop('_id')
document.pop('statisticsData', None)
document.pop('showRank', None)
document.pop('operator', None)
data.append(document)
json_file = open(
os.path.join(
os.path.split(
os.path.realpath(__file__))[0], 'json', collection + '.json'
),
'w', encoding='utf-8'
)
json.dump(data, json_file, ensure_ascii=False, indent=4)
json_file.close()
@staticmethod
def dict_parser(document: dict, city_dict: dict = None) -> dict:
result = dict()
try:
result['continentName'] = document['continentName']
result['continentEnglishName'] = document['continentEnglishName']
except KeyError:
result['continentName'] = None
result['continentEnglishName'] = None
result['countryName'] = document['countryName']
try:
result['countryEnglishName'] = document['countryEnglishName']
except KeyError:
result['countryEnglishName'] = None
result['provinceName'] = document['provinceName']
result['provinceEnglishName'] = document.get('provinceEnglishName')
result['province_zipCode'] = document.get('locationId')
result['province_confirmedCount'] = document['confirmedCount']
result['province_suspectedCount'] = document['suspectedCount']
result['province_curedCount'] = document['curedCount']
result['province_deadCount'] = document['deadCount']
if city_dict:
result['cityName'] = city_dict['cityName']
result['cityEnglishName'] = city_dict.get('cityEnglishName')
result['city_zipCode'] = city_dict.get('locationId')
result['city_confirmedCount'] = city_dict['confirmedCount']
result['city_suspectedCount'] = city_dict['suspectedCount']
result['city_curedCount'] = city_dict['curedCount']
result['city_deadCount'] = city_dict['deadCount']
result['updateTime'] = datetime.datetime.fromtimestamp(int(document['updateTime']/1000))
return result
if __name__ == '__main__':
listener = Listener()
listener.run()