Automatically exported from code.google.com/p/planningalerts
Nevar pievienot vairāk kā 25 tēmas Tēmai ir jāsākas ar burtu vai ciparu, tā var saturēt domu zīmes ('-') un var būt līdz 35 simboliem gara.
 
 
 
 
 
 

89 rindas
2.8 KiB

  1. import urllib2
  2. import urllib
  3. import urlparse
  4. import datetime, time
  5. import cgi
  6. from BeautifulSoup import BeautifulSoup
  7. from PlanningUtils import PlanningApplication, \
  8. PlanningAuthorityResults, \
  9. getPostcodeFromText
  10. class FifeParser:
  11. def __init__(self, *args):
  12. self.authority_name = "Fife Council"
  13. self.authority_short_name = "Fife"
  14. self.base_url = "http://www.fifedirect.org.uk/topics/index.cfm"
  15. self.comment_url = "http://www.ukplanning.com/ukp/showCaseFile.do?councilName=Fife+Council&appNumber=%s"
  16. self._results = PlanningAuthorityResults(self.authority_name, self.authority_short_name)
  17. def getResultsByDayMonthYear(self, day, month, year):
  18. search_date = datetime.date(year, month, day)
  19. search_data = urllib.urlencode(
  20. [("fuseaction", "planapps.list"),
  21. ("SUBJECTID", "104CC166-3ED1-4D22-B9F1E2FB8438478A"),
  22. ("src_fromdayRec", day),
  23. ("src_frommonthRec", month),
  24. ("src_fromyearRec", year),
  25. ("src_todayRec", day),
  26. ("src_tomonthRec", month),
  27. ("src_toyearRec", year),
  28. ("findroadworks", "GO"),
  29. ]
  30. )
  31. search_url = self.base_url + "?" + search_data
  32. response = urllib2.urlopen(search_url)
  33. soup = BeautifulSoup(response.read())
  34. results_table = soup.find("table", id="results")
  35. # Apart from the first tr, which contains headers, the trs come in pairs for each application
  36. trs = results_table.findAll("tr")[1:]
  37. tr_count = 0
  38. while tr_count < len(trs):
  39. tr = trs[tr_count]
  40. if tr_count % 2 == 0:
  41. application = PlanningApplication()
  42. application.date_received = search_date
  43. tds = tr.findAll("td")
  44. application.council_reference = tds[0].a.string.strip()
  45. application.comment_url = self.comment_url %(application.council_reference)
  46. application.info_url = urlparse.urljoin(self.base_url, tds[0].a['href'])
  47. application.address = ', '.join([x.strip() for x in tds[1].findAll(text=True)])
  48. application.postcode = getPostcodeFromText(application.address)
  49. else:
  50. # Get rid of the "Details: " at the beginning.
  51. application.description = tr.td.string.strip()[9:]
  52. self._results.addApplication(application)
  53. tr_count += 1
  54. return self._results
  55. def getResults(self, day, month, year):
  56. return self.getResultsByDayMonthYear(int(day), int(month), int(year)).displayXML()
  57. if __name__ == '__main__':
  58. parser = FifeParser()
  59. print parser.getResults(21,5,2008)
  60. # TODO
  61. # Paginates at 50. Unlikely on a single day, so we'll worry about it later.