def load_chart_data_into_cache(
job_metadata: Dict[str, Any],
form_data: Dict[str, Any],
) -> None:
# pylint: disable=import-outside-toplevel
from superset.charts.data.commands.get_data_command import ChartDataCommand
try:
ensure_user_is_set(job_metadata.get("user_id"))
set_form_data(form_data)
query_context = _create_query_context_from_form(form_data)
command = ChartDataCommand(query_context)
result = command.run(cache=True)
cache_key = result["cache_key"]
result_url = f"/api/v1/chart/data/{cache_key}"
async_query_manager.update_job(
job_metadata,
async_query_manager.STATUS_DONE,
result_url=result_url,
)
except SoftTimeLimitExceeded as ex:
logger.warning(
"A timeout occurred while loading chart data, error: %s", ex)
raise ex
except Exception as ex:
# TODO: QueryContext should support SIP-40 style errors
error = ex.message if hasattr(ex, "message") else str(ex) # type: ignore # pylint: disable=no-member
errors = [{"message": error}]
async_query_manager.update_job(job_metadata,
async_query_manager.STATUS_ERROR,
errors=errors)
raise ex
def _run_async(self, form_data: Dict[str, Any],
command: ChartDataCommand) -> Response:
"""
Execute command as an async query.
"""
# First, look for the chart query results in the cache.
try:
result = command.run(force_cached=True)
except ChartDataCacheLoadError:
result = None # type: ignore
already_cached_result = result is not None
# If the chart query has already been cached, return it immediately.
if already_cached_result:
return self._send_chart_response(result)
# Otherwise, kick off a background job to run the chart query.
# Clients will either poll or be notified of query completion,
# at which point they will call the /data/<cache_key> endpoint
# to retrieve the results.
async_command = CreateAsyncChartDataJobCommand()
try:
async_command.validate(request)
except AsyncQueryTokenException:
return self.response_401()
result = async_command.run(form_data, g.user.get_id())
return self.response(202, **result)
def data_from_cache(self, cache_key: str) -> Response:
"""
Takes a query context cache key and returns payload
data response for the given query.
---
get:
description: >-
Takes a query context cache key and returns payload data
response for the given query.
parameters:
- in: path
schema:
type: string
name: cache_key
responses:
200:
description: Query result
content:
application/json:
schema:
$ref: "#/components/schemas/ChartDataResponseSchema"
400:
$ref: '#/components/responses/400'
401:
$ref: '#/components/responses/401'
404:
$ref: '#/components/responses/404'
422:
$ref: '#/components/responses/422'
500:
$ref: '#/components/responses/500'
"""
try:
cached_data = self._load_query_context_form_from_cache(cache_key)
query_context = self._create_query_context_from_form(cached_data)
command = ChartDataCommand(query_context)
command.validate()
except ChartDataCacheLoadError:
return self.response_404()
except ValidationError as error:
return self.response_400(message=_(
"Request is incorrect: %(error)s", error=error.messages))
return self._get_data_response(command, True)
def _get_data_response(
self,
command: ChartDataCommand,
force_cached: bool = False,
form_data: Optional[Dict[str, Any]] = None,
datasource: Optional[BaseDatasource] = None,
) -> Response:
try:
result = command.run(force_cached=force_cached)
except ChartDataCacheLoadError as exc:
return self.response_422(message=exc.message)
except ChartDataQueryFailedError as exc:
return self.response_400(message=exc.message)
return self._send_chart_response(result, form_data, datasource)
def get_data(self, pk: int) -> Response:
"""
Takes a chart ID and uses the query context stored when the chart was saved
to return payload data response.
---
get:
description: >-
Takes a chart ID and uses the query context stored when the chart was saved
to return payload data response.
parameters:
- in: path
schema:
type: integer
name: pk
description: The chart ID
- in: query
name: format
description: The format in which the data should be returned
schema:
type: string
- in: query
name: type
description: The type in which the data should be returned
schema:
type: string
responses:
200:
description: Query result
content:
application/json:
schema:
$ref: "#/components/schemas/ChartDataResponseSchema"
202:
description: Async job details
content:
application/json:
schema:
$ref: "#/components/schemas/ChartDataAsyncResponseSchema"
400:
$ref: '#/components/responses/400'
401:
$ref: '#/components/responses/401'
500:
$ref: '#/components/responses/500'
"""
chart = self.datamodel.get(pk, self._base_filters)
if not chart:
return self.response_404()
try:
json_body = json.loads(chart.query_context)
except (TypeError, json.decoder.JSONDecodeError):
json_body = None
if json_body is None:
return self.response_400(message=_(
"Chart has no query context saved. Please save the chart again."
))
# override saved query context
json_body["result_format"] = request.args.get(
"format", ChartDataResultFormat.JSON)
json_body["result_type"] = request.args.get("type",
ChartDataResultType.FULL)
try:
query_context = self._create_query_context_from_form(json_body)
command = ChartDataCommand(query_context)
command.validate()
except QueryObjectValidationError as error:
return self.response_400(message=error.message)
except ValidationError as error:
return self.response_400(
message=_("Request is incorrect: %(error)s",
error=error.normalized_messages()))
# TODO: support CSV, SQL query and other non-JSON types
if (is_feature_enabled("GLOBAL_ASYNC_QUERIES")
and query_context.result_format == ChartDataResultFormat.JSON
and query_context.result_type == ChartDataResultType.FULL):
return self._run_async(json_body, command)
try:
form_data = json.loads(chart.params)
except (TypeError, json.decoder.JSONDecodeError):
form_data = {}
return self._get_data_response(command=command,
form_data=form_data,
datasource=query_context.datasource)
def data(self) -> Response:
"""
Takes a query context constructed in the client and returns payload
data response for the given query.
---
post:
description: >-
Takes a query context constructed in the client and returns payload data
response for the given query.
requestBody:
description: >-
A query context consists of a datasource from which to fetch data
and one or many query objects.
required: true
content:
application/json:
schema:
$ref: "#/components/schemas/ChartDataQueryContextSchema"
responses:
200:
description: Query result
content:
application/json:
schema:
$ref: "#/components/schemas/ChartDataResponseSchema"
202:
description: Async job details
content:
application/json:
schema:
$ref: "#/components/schemas/ChartDataAsyncResponseSchema"
400:
$ref: '#/components/responses/400'
401:
$ref: '#/components/responses/401'
500:
$ref: '#/components/responses/500'
"""
json_body = None
if request.is_json:
json_body = request.json
elif request.form.get("form_data"):
# CSV export submits regular form data
try:
json_body = json.loads(request.form["form_data"])
except (TypeError, json.JSONDecodeError):
pass
if json_body is None:
return self.response_400(message=_("Request is not JSON"))
try:
query_context = self._create_query_context_from_form(json_body)
command = ChartDataCommand(query_context)
command.validate()
except QueryObjectValidationError as error:
return self.response_400(message=error.message)
except ValidationError as error:
return self.response_400(
message=_("Request is incorrect: %(error)s",
error=error.normalized_messages()))
# TODO: support CSV, SQL query and other non-JSON types
if (is_feature_enabled("GLOBAL_ASYNC_QUERIES")
and query_context.result_format == ChartDataResultFormat.JSON
and query_context.result_type == ChartDataResultType.FULL):
return self._run_async(json_body, command)
form_data = json_body.get("form_data")
return self._get_data_response(command,
form_data=form_data,
datasource=query_context.datasource)