Exemplo n.º 1
0
 def test_iterweeks(self):
     # 52 weeks in 2011 + 18 weeks in 2012
     res = list(iterweeks(self.start, self.end))
     self.assertEquals(len(res), 70)
Exemplo n.º 2
0
    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)
Exemplo n.º 4
0
    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_}