def load_explore_json_into_cache( # pylint: disable=too-many-locals
job_metadata: Dict[str, Any],
form_data: Dict[str, Any],
response_type: Optional[str] = None,
force: bool = False,
) -> None:
cache_key_prefix = "ejr-" # ejr: explore_json request
try:
ensure_user_is_set(job_metadata.get("user_id"))
datasource_id, datasource_type = get_datasource_info(
None, None, form_data)
# Perform a deep copy here so that below we can cache the original
# value of the form_data object. This is necessary since the viz
# objects modify the form_data object. If the modified version were
# to be cached here, it will lead to a cache miss when clients
# attempt to retrieve the value of the completed async query.
original_form_data = copy.deepcopy(form_data)
viz_obj = get_viz(
datasource_type=cast(str, datasource_type),
datasource_id=datasource_id,
form_data=form_data,
force=force,
)
# run query & cache results
payload = viz_obj.get_payload()
if viz_obj.has_error(payload):
raise SupersetVizException(errors=payload["errors"])
# Cache the original form_data value for async retrieval
cache_value = {
"form_data": original_form_data,
"response_type": response_type,
}
cache_key = generate_cache_key(cache_value, cache_key_prefix)
set_and_log_cache(cache_manager.cache, cache_key, cache_value)
result_url = f"/superset/explore_json/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 explore json, error: %s", ex)
raise ex
except Exception as exc:
if isinstance(exc, SupersetVizException):
errors = exc.errors # pylint: disable=no-member
else:
error = (
exc.message if hasattr(exc, "message") else str(exc) # type: ignore # pylint: disable=no-member
)
errors = [error]
async_query_manager.update_job(job_metadata,
async_query_manager.STATUS_ERROR,
errors=errors)
raise exc
def load_explore_json_into_cache(
job_metadata: Dict[str, Any],
form_data: Dict[str, Any],
response_type: Optional[str] = None,
force: bool = False,
) -> None:
with app.app_context(): # type: ignore
cache_key_prefix = "ejr-" # ejr: explore_json request
try:
ensure_user_is_set(job_metadata.get("user_id"))
datasource_id, datasource_type = get_datasource_info(
None, None, form_data)
viz_obj = get_viz(
datasource_type=cast(str, datasource_type),
datasource_id=datasource_id,
form_data=form_data,
force=force,
)
# run query & cache results
payload = viz_obj.get_payload()
if viz_obj.has_error(payload):
raise SupersetVizException(errors=payload["errors"])
# cache form_data for async retrieval
cache_value = {
"form_data": form_data,
"response_type": response_type
}
cache_key = generate_cache_key(cache_value, cache_key_prefix)
set_and_log_cache(cache_manager.cache, cache_key, cache_value)
result_url = f"/superset/explore_json/data/{cache_key}"
async_query_manager.update_job(
job_metadata,
async_query_manager.STATUS_DONE,
result_url=result_url,
)
except Exception as exc:
if isinstance(exc, SupersetVizException):
errors = exc.errors # pylint: disable=no-member
else:
error = (
exc.message if hasattr(exc, "message") else str(exc) # type: ignore # pylint: disable=no-member
)
errors = [error]
async_query_manager.update_job(job_metadata,
async_query_manager.STATUS_ERROR,
errors=errors)
raise exc
return None
def get_viz_annotation_data(annotation_layer: Dict[str, Any],
force: bool) -> Dict[str, Any]:
chart = ChartDAO.find_by_id(annotation_layer["value"])
form_data = chart.form_data.copy()
if not chart:
raise QueryObjectValidationError(_("The chart does not exist"))
try:
viz_obj = get_viz(
datasource_type=chart.datasource.type,
datasource_id=chart.datasource.id,
form_data=form_data,
force=force,
)
payload = viz_obj.get_payload()
return payload["data"]
except SupersetException as ex:
raise QueryObjectValidationError(error_msg_from_exception(ex))
