def run_search(self, startDate, track, endDate, writeDir):
'''
Main searching method. This will set off a scrape that will end with
the report being written.
'''
#List for the race objects
meetingResults = []
#Set up a racedate datetime object for comparing dates
startDateObj = self.build_date_obj(startDate)
if endDate == "1":
endDateObj = startDateObj
endDateObj += datetime.timedelta(days=1)
else:
endDateObj = self.build_date_obj(endDate)
dates = self.get_dates(startDateObj, endDateObj)
#Get urls to query
queryUrls = self.get_query_urls(dates, track)
#print queryUrls
for t, urls in queryUrls.iteritems():
for u in urls:
content = self.get_page_content(u)
if content is None:
continue
trackNameEls, goingAllowances, forecasts, tricasts = \
self.get_track_info_elements(content, t)
#We can assume that our track name matches.
#Scrape the race and date
for name, allowance, fcast, tcast in zip(
trackNameEls, goingAllowances, forecasts, tricasts):
raceDate, race, grade, distance, goingAllowance, \
forecast,tricast, dogs = self.get_race_info(name,
allowance, fcast, tcast)
raceResult = Race(t, raceDate, race, grade, distance,
goingAllowance, forecast, tricast, dogs)
meetingResults.append(raceResult)
generator = ReportGenerator(os.getcwd(), writeDir)
generator.generate_report(meetingResults)
meetingResults = []
if len(urls) > 1:
#Don't get too greedy
print("Going to sleep for 5 seconds")
sleep(5)
