def test_count_id(self):
     query = Query().from_table(table='test_table',
                                fields=[CountField('id')])
     query_str = query.get_sql()
     expected_query = 'SELECT COUNT(test_table.id) AS "id_count" FROM test_table'
     self.assertEqual(query_str, expected_query,
                      get_comparison_str(query_str, expected_query))
 def test_count_distinct(self):
     query = Query().from_table(table='test_table',
                                fields=[CountField('name', distinct=True)])
     query_str = query.get_sql()
     expected_query = 'SELECT COUNT(DISTINCT test_table.name) AS "name_count" FROM test_table'
     self.assertEqual(query_str, expected_query,
                      get_comparison_str(query_str, expected_query))
    def test_cast(self):
        query = Query().from_table(
            table=Account,
            fields=[
                CountField(
                    'id',
                    alias='count',
                    cast='float'
                )
            ]
        )

        query_str = query.get_sql()
        expected_query = (
            'SELECT CAST(COUNT(querybuilder_tests_account.id) AS FLOAT) AS "count" FROM querybuilder_tests_account'
        )
        self.assertEqual(query_str, expected_query, get_comparison_str(query_str, expected_query))

        received = query.select()[0]['count']
        expected = float(len(User.objects.all()))
        self.assertEqual(
            received,
            expected,
            'Expected {0} but received {1}'.format(
                expected,
                received
            )
        )
Exemplo n.º 4
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 def test_group_by_id(self):
     query = Query().from_table(table='test_table',
                                fields=[{
                                    'num': CountField('id')
                                }]).group_by(field='id')
     query_str = query.get_sql()
     expected_query = 'SELECT COUNT(test_table.id) AS "num" FROM test_table GROUP BY id'
     self.assertEqual(query_str, expected_query,
                      get_comparison_str(query_str, expected_query))
Exemplo n.º 5
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 def contact_count(contact_type):
     return (Query().from_table(
         {
             "cc_family": CustomerContact
         },
         fields=["customer_id", {
             "contact_count": CountField("id")
         }],
     ).where(
         **{
             "is_basic": False,
             "attributes->>'contact_type'": contact_type
         }).group_by("customer_id"))
Exemplo n.º 6
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def get_list(
    page_num: int = 1,
    per_page: int = 10,
    pre_per_page: Union[int, None] = None,
    order_by: Union[Iterator, None] = None,
    filters: Union[Iterator, None] = None,
    for_csv: bool = False,
):
    if per_page is None:
        offset = None
    else:
        offset = (pre_per_page or per_page) * (page_num - 1)
    if not order_by:
        order_by = []

    fields = [
        "id",
        "internal_id",
        "business_id",
        {
            "account_designator": RawSQLField("banking->>'account_designator'")
        },
        {
            "bank_name": RawSQLField("banking->>'bank_name'")
        },
        {
            "bank_branch_name": RawSQLField("banking->>'branch_name'")
        },
        {
            "bank_account_type": RawSQLField("banking->>'account_type'")
        },
        {
            "bank_account_number": RawSQLField("banking->>'account_number'")
        },
        {
            "bank_account_name": RawSQLField("banking->>'account_name'")
        },
        "tags",
        {
            "tags_repr":
            RawSQLField("""
              (select string_agg(tags_repr, ',') tags_repr
              from (
                select concat_ws(':', key, value) as tags_repr
                from jsonb_each_text(tags) as x
                where value is not null
              ) as ss)::text
            """)
        },
    ]

    query = Query().from_table({"c": Customer}, fields=fields)

    if for_csv:

        def contact_count(contact_type):
            return (Query().from_table(
                {
                    "cc_family": CustomerContact
                },
                fields=["customer_id", {
                    "contact_count": CountField("id")
                }],
            ).where(
                **{
                    "is_basic": False,
                    "attributes->>'contact_type'": contact_type
                }).group_by("customer_id"))

        family_contact_count = contact_count(ContactType.family)

        other_contact_count = contact_count(ContactType.others)

        contact_fc = (Query().from_table(
            {
                "contact_fc": ForestCustomer
            },
            fields=["customer_id", {
                "forest_count": CountField("id")
            }],
        ).group_by("customer_id"))

        customers_forests = (Query(
        ).from_table({
            "fc": ForestCustomer
        }, fields=["customer_id"]).join(
            {
                "forest": Forest
            },
            condition="fc.forest_id = forest.id",
            fields=[{
                "forests_json":
                RawSQLField("json_agg(json_build_object("
                            "'id', forest.id, "
                            "'cadastral', forest.cadastral, "
                            "'land_attributes', forest.land_attributes))")
            }],
        ).join(
            {
                "fcc": ForestCustomerContact
            },
            condition="fc.id = fcc.forestcustomer_id",
            join_type="LEFT JOIN",
        ).join(
            {
                "cc": CustomerContact
            },
            condition="cc.id = fcc.customercontact_id and cc.is_basic = false",
            join_type="LEFT JOIN",
        ).join(
            {
                "contact_customer": CustomerContact
            },
            condition="cc.contact_id = contact_customer.contact_id "
            "and contact_customer.is_basic = true",
            join_type="LEFT JOIN",
        ).join(
            "contact_fc",
            condition="contact_customer.customer_id = contact_fc.customer_id",
            join_type="LEFT JOIN",
        ).join(
            {
                "contact": Contact
            },
            condition="cc.contact_id = contact.id",
            join_type="LEFT JOIN",
            fields=[{
                "contacts_json":
                RawSQLField("json_agg(json_build_object("
                            "'id', contact.id, "
                            "'name_kanji', contact.name_kanji, "
                            "'mobilephone', contact.mobilephone, "
                            "'telephone', contact.telephone, "
                            "'email', contact.email, "
                            "'forest_count', contact_fc.forest_count))"),
            }],
        ).group_by("fc.customer_id"))
        query = (query.join(
            "customers_forests",
            condition="customers_forests.customer_id = c.id",
            join_type="LEFT JOIN",
            fields=["forests_json", "contacts_json"],
        ).join(
            "family_contact_count",
            condition="family_contact_count.customer_id = c.id",
            join_type="LEFT JOIN",
            fields=[{
                "family_contact_count": "contact_count"
            }],
        ).join(
            "other_contact_count",
            condition="other_contact_count.customer_id = c.id",
            join_type="LEFT JOIN",
            fields=[{
                "other_contact_count": "contact_count"
            }],
        ))

    query = query.join(
        {
            "self_contact_rel": CustomerContact
        },
        condition="c.id=self_contact_rel.customer_id "
        "and self_contact_rel.is_basic is true",
    ).join(
        {"self_contact": Contact},
        condition="self_contact_rel.contact_id=self_contact.id",
        fields=[
            {
                "fullname_kana":
                RawSQLField(
                    "concat(self_contact.name_kana->>'last_name', '\u3000', "
                    "self_contact.name_kana->>'first_name')")
            },
            {
                "fullname_kanji":
                RawSQLField(
                    "concat(self_contact.name_kanji->>'last_name', '\u3000', "
                    "self_contact.name_kanji->>'first_name')")
            },
            "mobilephone",
            "telephone",
            "email",
            "postal_code",
            {
                "sector": "address->>'sector'"
            },
            {
                "prefecture": "address->>'prefecture'"
            },
            {
                "municipality": "address->>'municipality'"
            },
        ],
    )
    if for_csv:
        query = (Query().with_query(query, alias="T0").with_query(
            customers_forests, alias="customers_forests").with_query(
                contact_fc, alias="contact_fc").with_query(
                    family_contact_count,
                    alias="family_contact_count").with_query(
                        other_contact_count,
                        alias="other_contact_count").from_table("T0"))
    else:
        forest_tags_nested = (Query().from_table(
            {
                "fc": ForestCustomer
            }, fields=["customer_id"]).join(
                {"forest": Forest},
                condition="fc.forest_id = forest.id",
                fields=[{
                    "forest_tags":
                    RawSQLField("(select array_agg(fulltag) tags_arr "
                                "from ( "
                                "select concat_ws(':', key, value) as fulltag "
                                "from jsonb_each_text(forest.tags) as x "
                                "where value is not null "
                                ") as ss)")
                }],
            ))
        forest_tags_unnest = (Query().from_table(
            {
                "A0": forest_tags_nested
            },
            fields=[
                "customer_id",
                {
                    "forest_tags": RawSQLField("unnest(A0.forest_tags)")
                },
            ],
        ).distinct())
        forest_tags = (Query().from_table(
            {
                "A1": forest_tags_unnest
            },
            fields=[
                "customer_id",
                {
                    "forest_tags": RawSQLField("array_agg(A1.forest_tags)")
                },
            ],
        ).group_by("customer_id"))
        query = query.join(
            "forest_tags",
            condition="forest_tags.customer_id = c.id",
            join_type="LEFT JOIN",
            fields=[{
                "forest_tags_repr":
                RawSQLField("array_to_string(forest_tags, ',')")
            }],
        )
        query = (Query().with_query(query, alias="T0").with_query(
            forest_tags, alias="forest_tags").with_query(
                forest_tags_unnest,
                alias="A1").with_query(forest_tags_nested,
                                       alias="A0").from_table("T0"))
    if filters:
        query.where(filters)
    total = query.copy().count()

    for order_field in order_by:
        query.order_by(order_field)

    query.limit(per_page, offset)
    return query.select(), total
Exemplo n.º 7
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    def query_data(cls, widget):
        # get the columns needed
        column = widget.column
        group_by = widget.group_by if widget.group_by else None

        if isinstance(widget.content_object, XForm):
            xform = widget.content_object
        elif isinstance(widget.content_object, DataView):
            xform = widget.content_object.xform

        field = get_field_from_field_xpath(column, xform)

        if isinstance(field, basestring) and field == SUBMISSION_TIME:
            field_label = 'Submission Time'
            field_xpath = '_submission_time'
            field_type = 'datetime'
            data_type = DATA_TYPE_MAP.get(field_type, 'categorized')
        else:
            field_type = field.type
            data_type = DATA_TYPE_MAP.get(field.type, 'categorized')
            field_xpath = field.get_abbreviated_xpath()
            field_label = get_field_label(field)

        columns = [
            SimpleField(field="json->>'%s'" % unicode(column),
                        alias='"{}"'.format(column)),
            CountField(field="json->>'%s'" % unicode(column), alias='"count"')
        ]
        if group_by:
            if field_type in NUMERIC_LIST:
                column_field = SimpleField(field="json->>'%s'" %
                                           unicode(column),
                                           cast="float",
                                           alias=column)
            else:
                column_field = SimpleField(field="json->>'%s'" %
                                           unicode(column),
                                           alias=column)

            # build inner query
            inner_query_columns = \
                [column_field,
                 SimpleField(field="json->>'%s'" % unicode(group_by),
                             alias=group_by),
                 SimpleField(field="xform_id"),
                 SimpleField(field="deleted_at")]
            inner_query = Query().from_table(Instance, inner_query_columns)

            # build group-by query
            if field_type in NUMERIC_LIST:
                columns = [
                    SimpleField(field=group_by, alias='"%s"' % group_by),
                    SumField(field=column, alias="sum"),
                    AvgField(field=column, alias="mean")
                ]
            elif field_type == SELECT_ONE:
                columns = [
                    SimpleField(field=column, alias='"%s"' % column),
                    SimpleField(field=group_by, alias='"%s"' % group_by),
                    CountField(field="*", alias='"count"')
                ]

            query = Query().from_table({'inner_query': inner_query}, columns).\
                where(xform_id=xform.pk, deleted_at=None)

            if field_type == SELECT_ONE:
                query.group_by(column).group_by(group_by)
            else:
                query.group_by(group_by)

        else:
            query = Query().from_table(Instance, columns).\
                where(xform_id=xform.pk, deleted_at=None)
            query.group_by("json->>'%s'" % unicode(column))

        # run query
        records = query.select()

        # flatten multiple dict if select one with group by
        if field_type == SELECT_ONE and group_by:
            records = _flatten_multiple_dict_into_one(column, group_by,
                                                      records)
        # use labels if group by
        if group_by:
            group_by_field = get_field_from_field_xpath(group_by, xform)
            choices = get_field_choices(group_by, xform)
            records = _use_labels_from_group_by_name(group_by,
                                                     group_by_field,
                                                     data_type,
                                                     records,
                                                     choices=choices)
        return {
            "field_type": field_type,
            "data_type": data_type,
            "field_xpath": field_xpath,
            "field_label": field_label,
            "grouped_by": group_by,
            "data": records
        }