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# -*- coding: utf-8 -*- | ||
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#### IMPORTS 1.0 | ||
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import os | ||
import re | ||
import scraperwiki | ||
import urllib2 | ||
from datetime import datetime | ||
from bs4 import BeautifulSoup | ||
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# Set up variables | ||
entity_id = "E5046_RLBC_gov" | ||
url = "http://data.redbridge.gov.uk/Download/finance/payments-over-500" | ||
# Set up functions | ||
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#### FUNCTIONS 1.0 | ||
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def validateFilename(filename): | ||
filenameregex = '^[a-zA-Z0-9]+_[a-zA-Z0-9]+_[a-zA-Z0-9]+_[0-9][0-9][0-9][0-9]_[0-9QY][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) | ||
now = datetime.now() | ||
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 | ||
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def validateURL(url): | ||
try: | ||
r = urllib2.urlopen(url) | ||
count = 1 | ||
while r.getcode() == 500 and count < 4: | ||
print ("Attempt {0} - Status code: {1}. Retrying.".format(count, r.status_code)) | ||
count += 1 | ||
r = urllib2.urlopen(url) | ||
sourceFilename = r.headers.get('Content-Disposition') | ||
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if sourceFilename: | ||
ext = os.path.splitext(sourceFilename)[1].replace('"', '').replace(';', '').replace(' ', '') | ||
else: | ||
ext = os.path.splitext(url)[1] | ||
validURL = r.getcode() == 200 | ||
validFiletype = ext.lower() in ['.csv', '.xls', '.xlsx'] | ||
return validURL, validFiletype | ||
except: | ||
print ("Error validating URL.") | ||
return False, False | ||
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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 | ||
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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 | ||
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# pull down the content from the webpage | ||
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' } | ||
for k, v in month_numbers.items(): | ||
mth_string = mth_string.replace(k, v) | ||
return mth_string | ||
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#### VARIABLES 1.0 | ||
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entity_id = "E5046_RLBC_gov" | ||
url = "http://data.redbridge.gov.uk/Download/finance/payments-over-500?page={}" | ||
errors = 0 | ||
data = [] | ||
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#### READ HTML 1.0 | ||
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html = urllib2.urlopen(url) | ||
soup = BeautifulSoup(html) | ||
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# find all entries with the required class | ||
table = soup.find('tbody') | ||
rows = table.findAll('tr') | ||
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for row in rows: | ||
url = 'http://data.redbridge.gov.uk' + row.a['href'] | ||
if 'CSV' in url: | ||
title = row.find('td',{'class':'left titlecol Title'}).text | ||
# create the right strings for the new filename | ||
csvYr = title.split(' ')[1] | ||
csvMth = title.split(' ')[0][:3] | ||
csvMth = csvMth.upper() | ||
csvMth = convert_mth_strings(csvMth); | ||
filename = entity_id + "_" + csvYr + "_" + csvMth + ".csv" | ||
todays_date = str(datetime.now()) | ||
scraperwiki.sqlite.save(unique_keys=['l'], data={"l": url, "f": filename, "d": todays_date }) | ||
print filename | ||
soup = BeautifulSoup(html, 'lxml') | ||
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#### SCRAPE DATA | ||
import itertools | ||
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for pages in itertools.count(1): | ||
n=str(pages) | ||
html = urllib2.urlopen(url.format(n)) | ||
soup = BeautifulSoup(html, 'lxml') | ||
pageLinks = soup.findAll('a', href=True) | ||
more = soup.find('tfoot').find_all('a')[-1].text | ||
for pageLink in pageLinks: | ||
href = pageLink['href'] | ||
if 'CSV' in href: | ||
fileurl = 'http://data.redbridge.gov.uk' + href | ||
title = ' '.join(href.split('/CSV')[0].split('/')[-1].split('-')) | ||
csvYr = title.split(' ')[1] | ||
csvMth = title.split(' ')[0][:3] | ||
if 'over' in csvYr: | ||
csvYr = href.split('/CSV')[0].split('/')[-1].split('-')[-1] | ||
csvMth = href.split('/CSV')[0].split('/')[-1].split('-')[-2][:3] | ||
csvMth = convert_mth_strings(csvMth.upper()) | ||
todays_date = str(datetime.now()) | ||
data.append([csvYr, csvMth, fileurl]) | ||
if '>' not in more: | ||
break | ||
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#### STORE DATA 1.0 | ||
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for row in data: | ||
csvYr, csvMth, url = row | ||
filename = entity_id + "_" + csvYr + "_" + csvMth | ||
todays_date = str(datetime.now()) | ||
file_url = url.strip() | ||
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valid = validate(filename, file_url) | ||
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if valid == True: | ||
scraperwiki.sqlite.save(unique_keys=['l'], data={"l": file_url, "f": filename, "d": todays_date }) | ||
print filename | ||
else: | ||
errors += 1 | ||
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if errors > 0: | ||
raise Exception("%d errors occurred during scrape." % errors) | ||
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#### EOF | ||
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