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blablupcom committed Dec 9, 2015
1 parent c247efb commit d8acf88
Showing 1 changed file with 84 additions and 47 deletions.
131 changes: 84 additions & 47 deletions scraper.py
@@ -1,97 +1,134 @@
# -*- coding: utf-8 -*-

#### IMPORTS 1.0

import os
import re
import requests
import scraperwiki
import urllib2
from datetime import datetime
from bs4 import BeautifulSoup
from dateutil.parser import parse

# Set up variables
entity_id = "E1301_DBC_gov"
url = "http://www.darlington.gov.uk/your-council/council-information/financial-information/spending-data/"
errors = 0
# Set up functions
#### FUNCTIONS 1.0

def validateFilename(filename):
filenameregex = '^[a-zA-Z0-9]+_[a-zA-Z0-9]+_[a-zA-Z0-9]+_[0-9][0-9][0-9][0-9]_[0-9][0-9]$'
dateregex = '[0-9][0-9][0-9][0-9]_[0-9][0-9]'
filenameregex = '^[a-zA-Z0-9]+_[a-zA-Z0-9]+_[a-zA-Z0-9]+_[0-9][0-9][0-9][0-9]_[0-9QY][0-9]$'
dateregex = '[0-9][0-9][0-9][0-9]_[0-9QY][0-9]'
validName = (re.search(filenameregex, filename) != None)
found = re.search(dateregex, filename)
if not found:
return False
date = found.group(0)
year, month = int(date[:4]), int(date[5:7])
now = datetime.now()
validYear = (2000 <= year <= now.year)
validMonth = (1 <= month <= 12)
year, month = date[:4], date[5:7]
validYear = (2000 <= int(year) <= now.year)
if 'Q' in date:
validMonth = (month in ['Q0', 'Q1', 'Q2', 'Q3', 'Q4'])
elif 'Y' in date:
validMonth = (month in ['Y1'])
else:
try:
validMonth = datetime.strptime(date, "%Y_%m") < now
except:
return False
if all([validName, validYear, validMonth]):
return True


def validateURL(url):
try:
r = requests.get(url, allow_redirects=True, timeout=20)
r = urllib2.urlopen(url)
count = 1
while r.status_code == 500 and count < 4:
while r.getcode() == 500 and count < 4:
print ("Attempt {0} - Status code: {1}. Retrying.".format(count, r.status_code))
count += 1
r = requests.get(url, allow_redirects=True, timeout=20)
r = urllib2.urlopen(url)
sourceFilename = r.headers.get('Content-Disposition')

if sourceFilename:
ext = os.path.splitext(sourceFilename)[1].replace('"', '').replace(';', '').replace(' ', '')
else:
ext = os.path.splitext(url)[1]
validURL = r.status_code == 200
validFiletype = ext in ['.csv', '.xls', '.xlsx']
validURL = r.getcode() == 200
validFiletype = ext.lower() in ['.csv', '.xls', '.xlsx']
return validURL, validFiletype
except:
raise
def convert_mth_strings ( mth_string ):
print ("Error validating URL.")
return False, False


def validate(filename, file_url):
validFilename = validateFilename(filename)
validURL, validFiletype = validateURL(file_url)
if not validFilename:
print filename, "*Error: Invalid filename*"
print file_url
return False
if not validURL:
print filename, "*Error: Invalid URL*"
print file_url
return False
if not validFiletype:
print filename, "*Error: Invalid filetype*"
print file_url
return False
return True


def convert_mth_strings ( mth_string ):
month_numbers = {'JAN': '01', 'FEB': '02', 'MAR':'03', 'APR':'04', 'MAY':'05', 'JUN':'06', 'JUL':'07', 'AUG':'08', 'SEP':'09','OCT':'10','NOV':'11','DEC':'12' }
#loop through the months in our dictionary
for k, v in month_numbers.items():
#then replace the word with the number

mth_string = mth_string.replace(k, v)
return mth_string
# pull down the content from the webpage

#### VARIABLES 1.0

entity_id = "E1301_DBC_gov"
url = "http://www.darlington.gov.uk/your-council/council-information/financial-information/spending-data/"
errors = 0
data = []

#### READ HTML 1.0

html = urllib2.urlopen(url)
soup = BeautifulSoup(html, 'lxml')
# find all entries with the required class


#### SCRAPE DATA

block = soup.find('section', attrs = {'id':'mainContent'})
links = block.findAll('a', href=True)
for link in links:
csvFile = link.text.strip()
if 'CSV' in csvFile:
if '.csv' in link['href']:
Mth = csvFile.split(' ')[0].strip()[:3]
csvYr = csvFile.split(' ')
if len(csvYr) == 4:
csvYr = csvYr[-1].strip()[:5].strip()
else:
csvYr = csvYr[1].strip()[:5].strip()
url = 'http://www.darlington.gov.uk' + link['href']
csvMth = convert_mth_strings(Mth.upper())
filename = entity_id + "_" + csvYr + "_" + csvMth
todays_date = str(datetime.now())
file_url = 'http://www.darlington.gov.uk' + link['href']
validFilename = validateFilename(filename)
validURL, validFiletype = validateURL(file_url)
if not validFilename:
print filename, "*Error: Invalid filename*"
print file_url
errors += 1
continue
if not validURL:
print filename, "*Error: Invalid URL*"
print file_url
errors += 1
continue
if not validFiletype:
print filename, "*Error: Invalid filetype*"
print file_url
errors += 1
continue
data.append([csvYr, csvMth, url])

#### STORE DATA 1.0

for row in data:
csvYr, csvMth, url = row
filename = entity_id + "_" + csvYr + "_" + csvMth
todays_date = str(datetime.now())
file_url = url.strip()

valid = validate(filename, file_url)

if valid == True:
scraperwiki.sqlite.save(unique_keys=['l'], data={"l": file_url, "f": filename, "d": todays_date })
print filename
if errors > 0:
raise Exception("%d errors occurred during scrape." % errors)
else:
errors += 1

if errors > 0:
raise Exception("%d errors occurred during scrape." % errors)


#### EOF

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