def showBookRankGraph(request):
params = request.GET
startDateISO = params.get('startDate', None)
endDateISO = params.get('endDate', None)
synthesizedParams = {}
if startDateISO is None or endDateISO is None:
today = datetime.datetime.today() + datetime.timedelta(1)
endDate = datetime.datetime.strptime(toYYMMDD(today), _isoFmt)
startDate = endDate - datetime.timedelta(7)
startDateISO = toYYMMDD(startDate)
endDateISO = toYYMMDD(endDate)
numIntervals = (endDate - startDate).days
else:
startDate = awsRequest.parseISODate(startDateISO)
endDate = awsRequest.parseISODate(endDateISO) + datetime.timedelta(1)
numIntervals = (endDate - startDate).days
if numIntervals < 0:
msg = "The start-date needs to come before the end-date."
elif numIntervals < 2:
msg = "The start and end dates must be between 2 and 14 days apart."
elif numIntervals > 14:
msg = "The start and end dates must be between 2 and 14 days apart."
else:
msg = None
if msg:
return showBookRankGraphError(msg, params)
msg = awsRequest.checkRange(startDate, endDate)
if msg:
return showBookRankGraphError(msg, params)
return showBookRangeGraphHelper(params, synthesizedParams, startDate, endDate, startDateISO, endDateISO, numIntervals)
def showBookRangeGraphHelper(params, synthesizedParams, startDate, endDate, startDateISO, endDateISO, numIntervals):
info = awsRequest.Cmds().interval_by_day(False, startDate, endDate, numIntervals)
class DataTable(object):
pass
class ColumnDescriptor(object):
def __init__(self, columnType, value):
self.columnType = columnType
self.value = value
def __str__(self):
return self.value
__unicode__ = __str__
asin_interval_scores = info['asin_interval_scores']
date_intervals = info['date_intervals']
interval_asin_scores = info['interval_asin_scores']
book_titles_by_asin = info['book_titles_by_asin']
interval_asin_tweets = info['interval_asin_tweets']
interval_asin_tweet_percentages = info['interval_asin_tweet_percentages']
ranked_asins = sortedAsinsByRank(asin_interval_scores)
dateFormatter = awsRequest.DateFormatterSelector(date_intervals)
num_asins = len(ranked_asins)
dataTable = DataTable()
dataTable.addColumns = ([ColumnDescriptor('string', 'month')]
+ [ColumnDescriptor('number', book_titles_by_asin[asin])
for asin in ranked_asins
])
rows = []
for i in range(len(date_intervals)):
this_interval = date_intervals[i]
row = (["'%s'" % dateFormatter.format(this_interval)]
+ ["%.3g" % (calcAvg(interval_asin_scores[i].get(this_asin, []))
+ (10.0 * interval_asin_tweet_percentages[i].get(this_asin, 0)))
for this_asin in ranked_asins])
rows.append(row)
dataTable.addRows = rows
asinPosTweetCounts = dict([(this_asin, []) for this_asin in ranked_asins])
for i in range(len(date_intervals)):
for this_asin in ranked_asins:
tweets = interval_asin_tweets[i].get(this_asin, [])
asinPosTweetCounts[this_asin].append(len(tweets))
asinPosCollapsedTweetCounts = []
for this_asin in ranked_asins:
asinPosCollapsedTweetCounts.append(",".join([str(a) for a in asinPosTweetCounts[this_asin]]))
dataTable.asinPosCollapsedTweetCounts = asinPosCollapsedTweetCounts
import pprint
print "Hey, dataTable.rows...."
pprint.pprint(dataTable.addRows)
books = Book.objects.all()
book_dict = dict([(bookObject.asin, bookObject) for bookObject in books])
import sys
sys.stderr.write("medium urls: %s\n" %
", ".join([book_dict[asin].mediumProductImageURL for asin in ranked_asins]))
prevWeekStartDate = startDate - datetime.timedelta(numIntervals)
prevWeekEndDate = startDate;
prevWeekLinkOK = not awsRequest.checkRange(prevWeekStartDate, prevWeekEndDate)
nextWeekStartDate = endDate
nextWeekEndDate = endDate + datetime.timedelta(numIntervals)
nextWeekLinkOK = not awsRequest.checkRange(nextWeekStartDate, nextWeekEndDate)
return render_to_response("amazon/showBookRankGraph.django.html",
{ 'book_asins': ranked_asins,
'book_titles': [book_titles_by_asin[asin] for asin in ranked_asins],
'product_small_urls': [book_dict[asin].smallProductImageURL for asin in ranked_asins],
'product_medium_urls': [book_dict[asin].mediumProductImageURL for asin in ranked_asins],
'startDate': startDate,
'endDate': endDate,
'isoDates': [toYYMMDD(dt) for dt in date_intervals],
'startDateISO': startDateISO,
'endDateISO': endDateISO,
'endDateSub1ISO': toYYMMDD(endDate - datetime.timedelta(1)),
'dataTable': dataTable,
'prevWeekStartDate': toYYMMDD(prevWeekStartDate),
'prevWeekEndDate': toYYMMDD(prevWeekEndDate),
'prevWeekLinkOK': prevWeekLinkOK,
'nextWeekStartDate': toYYMMDD(nextWeekStartDate),
'nextWeekEndDate': toYYMMDD(nextWeekEndDate),
'nextWeekLinkOK': nextWeekLinkOK,
})
