def post(self, request):
self.original_filters = request.data.get("filters")
self.json_request = self.validate_api_request(request.data)
self.filters = self.json_request.get("filters", None)
if self.filters is None:
raise InvalidParameterException(
"Missing request parameters: filters")
queryset, values = self.database_data_layer()
results = bolster_missing_time_periods(
filter_time_periods=self.filters["time_period"],
queryset=queryset,
date_range_type=values[-1],
columns={"new_award_count_in_period": "count"},
)
response = {
"group":
self.groupings[self.json_request["group"]],
"results":
results,
"messages":
get_generic_filters_message(self.original_filters.keys(),
{"time_period", "recipient_id"}),
}
return Response(response)
def post(self, request):
json_request = self.validate_request_data(request.data)
self.group = json_request["group"]
self.subawards = json_request["subawards"]
self.filters = json_request["filters"]
db_results, values = self.database_data_layer()
# time_period is optional so we're setting a default window from API_SEARCH_MIN_DATE to end of the current FY.
# Otherwise, users will see blank results for years
current_fy = generate_fiscal_year(datetime.now(timezone.utc))
if self.groupings[self.group] == "fiscal_year":
end_date = "{}-09-30".format(current_fy)
else:
end_date = "{}-{}-30".format(current_fy,
datetime.now(timezone.utc).month)
default_time_period = {
"start_date": settings.API_SEARCH_MIN_DATE,
"end_date": end_date
}
time_periods = self.filters.get("time_period", [default_time_period])
results = bolster_missing_time_periods(
filter_time_periods=time_periods,
queryset=db_results,
date_range_type=values[-1],
columns={"aggregated_amount": "aggregated_amount"},
)
return Response({
"group": self.groupings[self.group],
"results": results
})
def post(self, request):
json_request = self.validate_request_data(request.data)
self.group = json_request["group"]
self.subawards = json_request["subawards"]
self.filters = json_request["filters"]
db_results, values = self.database_data_layer()
# time_period is optional so we're setting a default window from API_SEARCH_MIN_DATE to end of the current FY.
# Otherwise, users will see blank results for years
current_fy = generate_fiscal_year(datetime.now(timezone.utc))
if self.groupings[self.group] == "fiscal_year":
end_date = "{}-09-30".format(current_fy)
else:
end_date = "{}-{}-30".format(current_fy, datetime.now(timezone.utc).month)
default_time_period = {"start_date": settings.API_SEARCH_MIN_DATE, "end_date": end_date}
time_periods = self.filters.get("time_period", [default_time_period])
results = bolster_missing_time_periods(
filter_time_periods=time_periods,
queryset=db_results,
date_range_type=values[-1],
columns={"aggregated_amount": "aggregated_amount"},
)
return Response({"group": self.groupings[self.group], "results": results})
def post(self, request: Request) -> Response:
self.original_filters = request.data.get("filters")
json_request = self.validate_request_data(request.data)
self.group = GROUPING_LOOKUP[json_request["group"]]
self.subawards = json_request["subawards"]
self.filters = json_request["filters"]
self.elasticsearch = is_experimental_elasticsearch_api(request)
if not self.elasticsearch:
mirror_request_to_elasticsearch(request)
# time_period is optional so we're setting a default window from API_SEARCH_MIN_DATE to end of the current FY.
# Otherwise, users will see blank results for years
current_fy = generate_fiscal_year(datetime.now(timezone.utc))
if self.group == "fiscal_year":
end_date = "{}-09-30".format(current_fy)
else:
current_fiscal_month = generate_fiscal_month(
datetime.now(timezone.utc))
days_in_month = monthrange(current_fy, current_fiscal_month)[1]
end_date = f"{current_fy}-{current_fiscal_month}-{days_in_month}"
default_time_period = {
"start_date": settings.API_SEARCH_MIN_DATE,
"end_date": end_date
}
time_periods = self.filters.get("time_period", [default_time_period])
if self.elasticsearch and not self.subawards:
logger.info(
"Using experimental Elasticsearch functionality for 'spending_over_time'"
)
results = self.query_elasticsearch(time_periods)
else:
db_results, values = self.database_data_layer()
results = bolster_missing_time_periods(
filter_time_periods=time_periods,
queryset=db_results,
date_range_type=values[-1],
columns={"aggregated_amount": "aggregated_amount"},
)
return Response(
OrderedDict([
("group", self.group),
("results", results),
(
"messages",
get_generic_filters_message(
self.original_filters.keys(),
[elem["name"] for elem in AWARD_FILTER]),
),
]))
def post(self, request):
self.json_request = self.validate_api_request(request.data)
self.filters = self.json_request.get('filters', None)
if self.filters is None:
raise InvalidParameterException('Missing request parameters: filters')
queryset, values = self.database_data_layer()
results = bolster_missing_time_periods(
filter_time_periods=self.filters['time_period'],
queryset=queryset,
date_range_type=values[-1],
columns={'new_award_count_in_period': 'count'})
return Response({'group': self.groupings[self.json_request['group']], 'results': results})
def post(self, request):
self.json_request = self.validate_api_request(request.data)
self.filters = self.json_request.get("filters", None)
if self.filters is None:
raise InvalidParameterException("Missing request parameters: filters")
queryset, values = self.database_data_layer()
results = bolster_missing_time_periods(
filter_time_periods=self.filters["time_period"],
queryset=queryset,
date_range_type=values[-1],
columns={"new_award_count_in_period": "count"},
)
return Response({"group": self.groupings[self.json_request["group"]], "results": results})
def post(self, request):
self.json_request = self.validate_api_request(request.data)
self.filters = self.json_request.get('filters', None)
if self.filters is None:
raise InvalidParameterException(
'Missing request parameters: filters')
queryset, values = self.database_data_layer()
results = bolster_missing_time_periods(
filter_time_periods=self.filters['time_period'],
queryset=queryset,
date_range_type=values[-1],
columns={'new_award_count_in_period': 'count'})
return Response({
'group': self.groupings[self.json_request['group']],
'results': results
})
