Пример #1
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def get_ledger_section_entry_combinations(domain):
    """Get all section / entry combinations in a domain.
    :returns: a generator of namedtuples with fields ``section_id``, ``entry_id``, ``doc_count``
    """
    terms = [
        AggregationTerm('section_id', 'section_id'),
        AggregationTerm('entry_id', 'entry_id'),
    ]
    query = LedgerES().domain(domain)
    return NestedTermAggregationsHelper(base_query=query, terms=terms).get_data()
Пример #2
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def get_app_submission_breakdown_es(domain_name, monthspan):
    terms = [
        AggregationTerm('app_id', 'app_id'),
        AggregationTerm('device_id', 'form.meta.deviceID'),
        AggregationTerm('user_id', 'form.meta.userID'),
        AggregationTerm('username', 'form.meta.username'),
    ]
    query = FormES().domain(domain_name).submitted(
        gte=monthspan.startdate,
        lt=monthspan.computed_enddate,
    )
    return NestedTermAggregationsHelper(base_query=query,
                                        terms=terms).get_data()
Пример #3
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def get_app_submission_breakdown_es(domain_name, monthspan, user_ids=None):
    # takes > 1 m to load at 50k worker scale
    terms = [
        AggregationTerm('app_id', 'app_id'),
        AggregationTerm('device_id', 'form.meta.deviceID'),
        AggregationTerm('user_id', 'form.meta.userID'),
        AggregationTerm('username', 'form.meta.username'),
    ]
    query = FormES(es_instance_alias=ES_EXPORT_INSTANCE).domain(domain_name).submitted(
        gte=monthspan.startdate,
        lt=monthspan.computed_enddate,
    )
    if user_ids is not None:
        query = query.user_id(user_ids)
    return NestedTermAggregationsHelper(base_query=query, terms=terms).get_data()
Пример #4
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 def test_nested_terms_helper(self):
     json_output = {
         "query": {
             "filtered": {
                 "filter": {
                     "and": [{
                         "match_all": {}
                     }]
                 },
                 "query": {
                     "match_all": {}
                 }
             }
         },
         "aggs": {
             "app_id": {
                 "terms": {
                     "field": "app_id",
                     "size": SIZE_LIMIT,
                 },
                 "aggs": {
                     "user_id": {
                         "terms": {
                             "field": "user_id",
                             "size": SIZE_LIMIT,
                         },
                         "aggs": {
                             "balance": {
                                 "sum": {
                                     "field": "balance"
                                 }
                             }
                         }
                     }
                 }
             }
         },
         "size": SIZE_LIMIT
     }
     base_query = HQESQuery('cases')
     query = NestedTermAggregationsHelper(
         base_query=base_query,
         terms=[
             AggregationTerm('app_id', 'app_id'),
             AggregationTerm('user_id', 'user_id')
         ],
         inner_most_aggregation=SumAggregation('balance', 'balance')).query
     self.checkQuery(query, json_output)
Пример #5
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def initialize_ledger_combinations(apps, schema_editor):
    terms = [
        AggregationTerm('domain', 'domain'),
        AggregationTerm('section_id', 'section_id'),
        AggregationTerm('entry_id', 'entry_id'),
    ]
    combos = [
        a for a in NestedTermAggregationsHelper(base_query=LedgerES(),
                                                terms=terms).get_data()
    ]
    for combo in combos:
        LedgerSectionEntry.objects.get_or_create(
            domain=combo.domain,
            section_id=combo.section_id,
            entry_id=combo.entry_id,
        )
Пример #6
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def get_aggregated_ledger_values(domain, case_ids, section_id, entry_ids=None):
    # todo: figure out why this causes circular import
    query = LedgerES().domain(domain).section(section_id).case(case_ids)
    if entry_ids:
        query = query.entry(entry_ids)

    terms = [
        AggregationTerm('entry_id', 'entry_id'),
    ]
    return NestedTermAggregationsHelper(
        base_query=query,
        terms=terms,
        inner_most_aggregation=SumAggregation('balance', 'balance'),
    ).get_data()