def test_iterweeks(self):
# 52 weeks in 2011 + 18 weeks in 2012
res = list(iterweeks(self.start, self.end))
self.assertEquals(len(res), 70)
def __call__(self, field, start, end, interval=DAY, strict_range=False,
**terms):
if isinstance(interval, basestring):
interval = _str2interval[interval.encode()]
if isinstance(start, basestring):
start = datetime.datetime.strptime(start.encode(),
'%Y-%m-%d').toordinal()
start = datetime.date.fromordinal(start)
elif isinstance(start, datetime.datetime):
start = start.date()
if isinstance(end, basestring):
end = datetime.datetime.strptime(end.encode(),
'%Y-%m-%d').toordinal()
end = datetime.date.fromordinal(end)
elif isinstance(end, datetime.datetime):
end = end.date()
if interval == DAY:
drange = util.iterdays(start, end)
elif interval == WEEK:
drange = util.iterweeks(start, end)
elif interval == MONTH:
drange = util.itermonths(start, end)
else:
drange = util.iteryears(start, end)
# building the query
start_date_str = start.strftime('%Y-%m-%d')
end_date_str = end.strftime('%Y-%m-%d')
if isinstance(interval, int):
interval = _interval2str[interval]
# XXX we'll see later if we want to provide a
# nicer query interface
# we need a facet query
if strict_range:
greater = "gt"
lower = "lt"
else:
greater = "gte"
lower = "lte"
query = {
"query": {
"match_all": {},
},
"size": 0, # we aren't interested in the hits
"facets": {
"histo1": {
"date_histogram": {
"value_field": field,
"interval": interval,
"key_field": "date",
},
"facet_filter": {
"range": {
"date": {
greater: start_date_str,
lower: end_date_str,
}
}
}
}
}
}
if terms:
range_ = query['facets']['histo1']['facet_filter']['range']
query['facets']['histo1']['facet_filter'] = {
'and': ([{'term': {k: v}} for k, v in terms.items()] +
[{'range': range_}])}
res = self.raw(query)
counts = {}
for entry in res['facets']['histo1']['entries']:
time_ = entry['time'] / 1000.0
date_ = datetime.datetime.utcfromtimestamp(time_).date()
if 'total' in entry:
count = entry['total']
else:
count = entry['count']
counts[date_] = count
for date_ in drange:
if strict_range and date_ in (start, end):
continue
if date_ in counts:
yield {'count': counts[date_], 'date': date_}
elif self.zero_fill:
yield {'count': None, 'date': date_}
def test_iterweeks(self):
# 52 weeks in 2011 + 18 weeks in 2012
res = list(iterweeks(self.start, self.end))
self.assertEquals(len(res), 70)
def __call__(self, field, start, end, interval=DAY, strict_range=False,
**terms):
if isinstance(interval, basestring):
interval = _str2interval[interval.encode()]
if isinstance(start, basestring):
start = datetime.datetime.strptime(start.encode(),
'%Y-%m-%d').toordinal()
start = datetime.date.fromordinal(start)
end = datetime.datetime.strptime(end.encode(),
'%Y-%m-%d').toordinal()
end = datetime.date.fromordinal(end)
if interval == DAY:
drange = util.iterdays(start, end)
elif interval == WEEK:
drange = util.iterweeks(start, end)
elif interval == MONTH:
drange = util.itermonths(start, end)
else:
drange = util.iteryears(start, end)
# building the query
start_date_str = start.strftime('%Y-%m-%d')
end_date_str = end.strftime('%Y-%m-%d')
if isinstance(interval, int):
interval = _interval2str[interval]
# XXX we'll see later if we want to provide a
# nicer query interface
# we need a facet query
if strict_range:
greater = "gt"
lower = "lt"
else:
greater = "gte"
lower = "lte"
query = {
"query": {
"match_all": {},
},
"size": 0, # we aren't interested in the hits
"facets": {
"histo1": {
"date_histogram": {
"value_field": field,
"interval": interval,
"key_field": "date",
},
"facet_filter": {
"range": {
"date": {
greater: start_date_str,
lower: end_date_str,
}
}
}
}
}
}
if len(terms) > 0:
term = {}
for key, value in terms.items():
term[key] = value
range_ = query['facets']['histo1']['facet_filter']['range']
filter_ = {'and': [{'term': term},
{'range': range_}]}
query['facets']['histo1']['facet_filter'] = filter_
with self.statsd.timer('elasticsearch-query'):
res = self.session.post(self.es, data=json.dumps(query))
if res.status_code != 200:
raise ValueError(res.content)
# getting the JSON content
res = res.json
if callable(res):
res = res()
# statsd calls
self.statsd.incr('elasticsearch-call')
if not isinstance(res, dict):
raise ValueError(res)
if 'errors' in res:
raise ValueError(res['errors'][0]['description'])
dates = set()
for entry in res['facets']['histo1']['entries']:
time_ = entry['time'] / 1000.0
date_ = datetime.datetime.utcfromtimestamp(time_).date()
if 'total' in entry:
count = entry['total']
else:
count = entry['count']
if date_ not in dates:
dates.add(date_)
yield {'count': count, 'date': date_}
if self.zero_fill:
# yielding zeros
for date_ in drange:
if strict_range and date_ in (start, end):
continue
if date_ not in dates:
yield {'count': 0, 'date': date_}