def build_query(self, query_type, args):
"""
Build query based on given query type and arguments.
:param string query_type: a type of query
:param dict args: the dict of args to be sent
:return: the resulting query
:rtype: Query
"""
query_dict = {'queryType': query_type}
for key, val in six.iteritems(args):
if key == 'aggregations':
query_dict[key] = build_aggregators(val)
elif key == 'post_aggregations':
query_dict['postAggregations'] = Postaggregator.build_post_aggregators(val)
elif key == 'datasource':
query_dict['dataSource'] = val
elif key == 'paging_spec':
query_dict['pagingSpec'] = val
elif key == 'limit_spec':
query_dict['limitSpec'] = val
elif key == "filter":
query_dict[key] = Filter.build_filter(val)
elif key == "having":
query_dict[key] = Having.build_having(val)
elif key == 'dimension':
query_dict[key] = build_dimension(val)
elif key == 'dimensions':
query_dict[key] = [build_dimension(v) for v in val]
else:
query_dict[key] = val
self.last_query = Query(query_dict, query_type)
return self.last_query
def build_query(self, query_type, args):
"""
Build query based on given query type and arguments.
:param string query_type: a type of query
:param dict args: the dict of args to be sent
:return: the resulting query
:rtype: Query
"""
query_dict = {'queryType': query_type}
for key, val in six.iteritems(args):
if key == 'aggregations':
query_dict[key] = build_aggregators(val)
elif key == 'post_aggregations':
query_dict['postAggregations'] = Postaggregator.build_post_aggregators(val)
elif key == 'datasource':
query_dict['dataSource'] = val
elif key == 'paging_spec':
query_dict['pagingSpec'] = val
elif key == 'limit_spec':
query_dict['limitSpec'] = val
elif key == "filter":
query_dict[key] = Filter.build_filter(val)
elif key == "having":
query_dict[key] = Having.build_having(val)
elif key == 'dimension':
query_dict[key] = build_dimension(val)
elif key == 'dimensions':
query_dict[key] = [build_dimension(v) for v in val]
else:
query_dict[key] = val
self.last_query = Query(query_dict, query_type)
return self.last_query
def build_query(self, query_type, args):
"""
Build query based on given query type and arguments.
:param string query_type: a type of query
:param dict args: the dict of args to be sent
:return: the resulting query
:rtype: Query
"""
query_dict = {"queryType": query_type}
for key, val in six.iteritems(args):
if key == "aggregations":
query_dict[key] = build_aggregators(val)
elif key == "post_aggregations":
query_dict[
"postAggregations"] = Postaggregator.build_post_aggregators(
val)
elif key == "context":
query_dict["context"] = val
elif key == "datasource":
query_dict["dataSource"] = self.parse_datasource(
val, query_type)
elif key == "paging_spec":
query_dict["pagingSpec"] = val
elif key == "limit_spec":
query_dict["limitSpec"] = val
elif key == "filter" and val is not None:
query_dict[key] = Filter.build_filter(val)
elif key == "having" and val is not None:
query_dict[key] = Having.build_having(val)
elif key == "dimension" and val is not None:
query_dict[key] = build_dimension(val)
elif key == "dimensions":
query_dict[key] = [build_dimension(v) for v in val]
else:
query_dict[key] = val
self.last_query = Query(query_dict, query_type)
return self.last_query
def build_query_dict(self, query_type, args):
query_dict = {"queryType": query_type}
for key, val in six.iteritems(args):
if key == "aggregations":
query_dict[key] = build_aggregators(val)
elif key == "post_aggregations":
query_dict[
"postAggregations"] = Postaggregator.build_post_aggregators(
val)
elif key == "context":
query_dict["context"] = val
elif key == "datasource":
query_dict["dataSource"] = self.parse_datasource(
val, query_type)
elif key == "paging_spec":
query_dict["pagingSpec"] = val
elif key == "limit_spec":
query_dict["limitSpec"] = val
elif key == "filter" and val is not None:
query_dict[key] = Filter.build_filter(val)
elif key == "having" and val is not None:
query_dict[key] = Having.build_having(val)
elif key == "dimension" and val is not None:
query_dict[key] = build_dimension(val)
elif key == "dimensions":
query_dict[key] = [build_dimension(v) for v in val]
elif key == 'virtualColumns':
query_dict[key] = [
VirtualColumn.build_virtual_column(v) for v in val
]
elif key == 'sub_query' and val is not None:
query_dict['dataSource'] = {
'type': 'query',
'query': self.build_query_dict(query_type, val)
}
elif val is not None:
query_dict[key] = val
return query_dict
def test_build_dimension(self):
assert build_dimension("raw_dim") == "raw_dim"
dim_spec = DimensionSpec("dim", "out")
assert build_dimension(dim_spec) == dim_spec.build()
def test_build_dimension(self):
assert build_dimension('raw_dim') == 'raw_dim'
dim_spec = DimensionSpec('dim', 'out')
assert build_dimension(dim_spec) == dim_spec.build()
def test_build_dimension(self):
assert build_dimension('raw_dim') == 'raw_dim'
dim_spec = DimensionSpec('dim', 'out')
assert build_dimension(dim_spec) == dim_spec.build()
def test_build_dimension(self):
assert build_dimension("raw_dim") == "raw_dim"
dim_spec = DimensionSpec("dim", "out")
assert build_dimension(dim_spec) == dim_spec.build()
