def update_dataset_viz_status(update_definition: Dict) -> Dict:
if len(update_definition) == 0:
raise BadRequestException(
{'InvalidQueryDefinition': f"Query definition must not be empty; received {update_definition}"})
if "dataset_id" not in update_definition:
raise BadRequestException({'MissingRequiredParameter': "dataset_id"})
if "viz_config_id" not in update_definition:
raise BadRequestException({'MissingRequiredParameter': "viz_config_id"})
viz_config_id = update_definition["viz_config_id"]
dataset_id = update_definition["dataset_id"]
try:
uuid.UUID(str(dataset_id))
except Exception:
raise BadRequestException({'InvalidParameter': f"'dataset_id' must be proper uuid; received {dataset_id}"})
with session_scope() as session:
dataset = Dataset.find_by_record_id(dataset_id, session=session)
if viz_config_id not in dataset.json_metadata:
raise BadRequestException({'InvalidParameter': f"Dataset {dataset_id} does not have viz_config with id {viz_config_id}"})
# update dataset metadata
dataset.json_metadata[viz_config_id]["visualized"] = True
flag_modified(dataset, "json_metadata")
return {"success": True}
def register_provenance(provenance_definition: Dict) -> Dict:
if len(provenance_definition) == 0:
raise BadRequestException({'Missing parameter or its value is empty': "provenance"})
with session_scope() as session:
builder = ProvenanceCollectionBuilder(session)
builder.instantiate_provenance_arr([provenance_definition])
builder.validate_schema()
if len(builder.schema_validation_errors) > 0:
raise BadRequestException({"ProvenanceSchemaValidationError": builder.schema_validation_errors})
builder.build_record_associations()
provenance_arr = builder.persist()
return {"provenance": provenance_arr[0]}
def _parse_json(payload):
try:
if isinstance(payload, str):
return ujson.loads(payload)
else:
return payload
except Exception:
raise BadRequestException(f"Not a valid json object: {payload}")
def register_standard_variables(standard_variable_definitions: list) -> dict:
if len(standard_variable_definitions) == 0:
raise BadRequestException({'Missing parameter or its value is empty': "standard_variables"})
elif len(standard_variable_definitions) > 500:
raise BadRequestException({
'NumRecordsExceedsThresholdError':
f"Maximum number of records per call cannot exceed 500; received {len(standard_variable_definitions)}"
})
with session_scope() as session:
builder = StandardVariableCollectionBuilder(session)
builder.instantiate_variables(standard_variable_definitions)
builder.validate_schema()
if len(builder.schema_validation_errors) > 0:
raise BadRequestException({"StandardVariableSchemaValidationError": builder.schema_validation_errors})
builder.build_record_associations()
standard_variables = builder.persist()
return {"result": "success", "standard_variables": standard_variables}
def register_datasets(dataset_definitions: list) -> dict:
if len(dataset_definitions) == 0:
raise BadRequestException('Missing parameter or its value is empty: "datasets"')
elif len(dataset_definitions) > 500:
raise BadRequestException({
"NumRecordsExceedsThresholdError":
f"Maximum number of records per call cannot exceed 500; received {len(dataset_definitions)}"
})
with session_scope() as session:
builder = DatasetCollectionBuilder(session)
builder.instantiate_variables(dataset_definitions)
builder.validate_schema()
if len(builder.schema_validation_errors) > 0:
raise BadRequestException({"DatasetSchemaValidationError": builder.schema_validation_errors})
builder.build_record_associations()
if len(builder.data_validation_errors) > 0:
raise BadRequestException({"DatasetDataValidationError": builder.data_validation_errors})
datasets = builder.persist()
return {"result": "success", "datasets": datasets}
def search_datasets_v2(query_definition: dict) -> list:
if len(query_definition) == 0:
raise BadRequestException({
'InvalidQueryDefinition':
f"Query definition must not be empty; received {query_definition}"
})
# parse query operators
# search_ops = body.pop('search_operators', "and").lower()
# sort_by = body.pop("sort_by", None)
# assert search_ops == "or" or search_ops == "and"
limit = int(query_definition.pop("limit", 500))
field_names = query_definition.keys()
allowed_query_words = frozenset([
"search_query", "spatial_coverage", "temporal_coverage",
"provenance_id"
])
if query_definition == {}:
raise BadRequestException(
{'InvalidQueryDefinition': f"Query definition must not be empty"})
if not all([
field_name in allowed_query_words
for field_name in list(query_definition.keys())
]):
raise BadRequestException({
'InvalidQueryDefinition':
f"Invalid search field(s); must be either of {allowed_query_words}"
})
search_query = query_definition.get("search_query")
if search_query is not None and not isinstance(search_query, list):
raise BadRequestException({
'InvalidQueryDefinition':
f"Invalid value type for 'search_query': {search_query}; must be an array"
})
provenance_id = query_definition.get("provenance_id")
if provenance_id is not None:
try:
uuid.UUID(str(provenance_id))
# assert(uuid_val.version == 4)
except ValueError:
raise BadRequestException({
'InvalidQueryDefinition':
f"'provenance_id' value must be a valid UUID v4; received {provenance_id}"
})
spatial_coverage = query_definition.get("spatial_coverage")
# if spatial_coverage is not None:
temporal_coverage = query_definition.get("temporal_coverage")
# execute the query
try:
with session_scope() as session:
# Get Dataset
datasets_query = _generate_select_datasets_query(
provenance_id=provenance_id,
search_query=search_query,
spatial_coverage=spatial_coverage,
temporal_coverage=temporal_coverage,
limit=limit)
print(datasets_query)
# query = query.limit(limit)
# results = query.all()
datasets_results = session.execute(datasets_query)
datasets_dict = {}
for row in datasets_results:
dataset_id = str(row[0])
dataset_metadata = {}
if row[3] is not None:
dataset_metadata = row[3]
dataset_record = {
"dataset_id": dataset_id,
"dataset_name": str(row[1]),
"dataset_description": str(row[2]),
"dataset_metadata": dataset_metadata,
"dataset_spatial_coverage": ujson.loads(row[4])
}
if dataset_id not in datasets_dict:
datasets_dict[dataset_id] = dataset_record
# dataset_ids = list(datasets_dict.keys())
results_json = []
for dataset_id, dataset_record in datasets_dict.items():
# dataset_record["variables"] = list(dataset_record["variables"].values())
results_json.append(dataset_record)
return results_json
except Exception as e:
traceback.print_exc(file=sys.stdout)
raise InternalServerException(e)
def update_dataset(update_definition: Dict) -> Dict:
if len(update_definition) == 0:
raise BadRequestException(
{'InvalidQueryDefinition': f"Query definition must not be empty; received {update_definition}"})
if "dataset_id" not in update_definition:
raise BadRequestException({'MissingRequiredParameter': "dataset_id"})
dataset_id = update_definition["dataset_id"]
try:
uuid.UUID(str(dataset_id))
# assert(uuid_val.version == 4)
except ValueError:
raise BadRequestException(
{'InvalidQueryDefinition': f"'dataset_id' value must be a valid UUID v4; received {dataset_id}"})
name = update_definition.get("name")
description = update_definition.get("description")
json_metadata = update_definition.get('metadata')
if json_metadata is not None and not isinstance(json_metadata, dict):
raise BadRequestException(
{'InvalidQueryDefinition': f"'metadata' value must be a JSON object; received {json_metadata}"})
changes = {}
try:
with session_scope() as session:
dataset = Dataset.find_by_record_id(dataset_id, session)
update_query_arr = ['UPDATE datasets SET']
set_query_part_arr = []
if name is not None:
# dataset.name
current_name = dataset.name
# dataset.name = name
set_query_part_arr.append(f"name = '{name}'")
changes["name"] = _get_change_record(current_name, name)
if description is not None:
current_description = dataset.description
set_query_part_arr.append(f"description = '{description}'")
changes["description"] = _get_change_record(current_description, description)
if json_metadata is not None and isinstance(json_metadata, dict):
metadata = dataset.json_metadata
if metadata is None:
metadata = {}
current_metadata = {k: v for k, v in metadata.items()}
metadata.update(json_metadata)
keys_to_delete = []
for k, v in metadata.items():
if v is None:
keys_to_delete.append(k)
for k in keys_to_delete:
del metadata[k]
set_query_part_arr.append(f"json_metadata = $${json.dumps(metadata)}$$::json")
changes["metadata"] = _get_change_record(current_metadata, metadata)
if len(set_query_part_arr) > 0:
set_query_part = ', '.join(set_query_part_arr)
update_query_arr.append(set_query_part)
update_query_arr.append(f"WHERE datasets.id = '{dataset_id}'")
update_query = " ".join(update_query_arr)
print(update_query)
session.execute(update_query)
return {"success": True, "dataset_id": dataset_id, "changes": changes}
except Exception as e:
traceback.print_exc(file=sys.stdout)
raise InternalServerException(e)
def update_standard_variable(update_definition: Dict) -> Dict:
if len(update_definition) == 0:
raise BadRequestException(
{'InvalidQueryDefinition': f"Query definition must not be empty; received {update_definition}"})
if "standard_variable_id" not in update_definition:
raise BadRequestException({'MissingRequiredParameter': "standard_variable_id"})
standard_variable_id = update_definition["standard_variable_id"]
try:
uuid.UUID(str(standard_variable_id))
# assert(uuid_val.version == 4)
except ValueError:
raise BadRequestException(
{'InvalidQueryDefinition': f"'dataset_id' value must be a valid UUID v4; received {standard_variable_id}"})
name = update_definition.get("name")
ontology = update_definition.get("ontology")
uri = update_definition.get("uri")
description = update_definition.get("description")
changes = {}
try:
with session_scope() as session:
standard_variable = StandardVariable.find_by_record_id(standard_variable_id, session)
update_query_arr = ['UPDATE standard_variables SET']
set_query_part_arr = []
if name is not None:
current_name = standard_variable.name
set_query_part_arr.append(f"name = '{name}'")
changes["name"] = _get_change_record(current_name, name)
if ontology is not None:
current_ontology = standard_variable.ontology
set_query_part_arr.append(f"ontology = '{ontology}'")
changes["ontology"] = _get_change_record(current_ontology, ontology)
if uri is not None:
current_uri = standard_variable.uri
set_query_part_arr.append(f"uri = '{uri}'")
changes["uri"] = _get_change_record(current_uri, uri)
if description is not None:
current_description = standard_variable.description
set_query_part_arr.append(f"description = '{description}'")
changes["description"] = _get_change_record(current_description, ontology)
if len(set_query_part_arr) > 0:
set_query_part = ', '.join(set_query_part_arr)
update_query_arr.append(set_query_part)
update_query_arr.append(f"WHERE standard_variables.id = '{standard_variable_id}'")
update_query = " ".join(update_query_arr)
print(update_query)
session.execute(update_query)
return {"success": True, "standard_variable_id": standard_variable_id, "changes": changes}
except Exception as e:
traceback.print_exc(file=sys.stdout)
raise InternalServerException(e)
def delete_dataset(delete_definition: Dict) -> Dict:
if len(delete_definition) == 0:
raise BadRequestException({
'InvalidQueryDefinition':
f"Query definition must not be empty; received {delete_definition}"
})
if "provenance_id" not in delete_definition:
raise BadRequestException(
{'MissingRequiredParameter': "provenance_id"})
if "dataset_id" not in delete_definition:
raise BadRequestException({'MissingRequiredParameter': "dataset_id"})
provenance_id = delete_definition["provenance_id"]
dataset_id = delete_definition["dataset_id"]
try:
uuid.UUID(str(provenance_id))
except Exception:
raise BadRequestException({
'InvalidParameter':
f"'provenance_id' must be proper uuid; received {provenance_id}"
})
try:
uuid.UUID(str(dataset_id))
except Exception:
raise BadRequestException({
'InvalidParameter':
f"'dataset_id' must be proper uuid; received {dataset_id}"
})
with session_scope() as session:
dataset = Dataset.find_by_record_id(dataset_id, session)
if dataset is None:
raise BadRequestException({
'InvalidParameter':
f"'Dataset does not exist: '{str(dataset_id)}'"
})
elif str(dataset.provenance_id) != str(provenance_id):
raise BadRequestException({
'InvalidParameter':
f"provenance_id '{str(provenance_id)}' does not match"
})
else:
# create temp table to hold variable_ids that need to be deleted for variables, resources_variables, and
# variables_standard_variables tables
session.execute("DROP TABLE IF EXISTS delete_variables")
session.execute(
f"CREATE TEMPORARY TABLE delete_variables AS SELECT variables.id AS variable_id FROM variables WHERE dataset_id = '{dataset_id}'"
)
session.execute(
"CREATE index idx_variable_id ON delete_variables (variable_id)"
)
# create temp table to hold resource_ids that need to be deleted for resources, spatial_coverage_index,
# and temporal_coverage_index tables
session.execute("DROP TABLE IF EXISTS delete_resources")
session.execute(
f"CREATE TEMPORARY TABLE delete_resources AS SELECT resources.id AS resource_id FROM resources WHERE dataset_id = '{dataset_id}'"
)
session.execute(
"CREATE index idx_resource_id ON delete_resources (resource_id)"
)
# Delete variables_standard_variables
session.execute(
"DELETE FROM variables_standard_variables USING delete_variables WHERE variables_standard_variables.variable_id = delete_variables.variable_id"
)
# Delete resources_variables
session.execute(
"DELETE FROM resources_variables USING delete_variables WHERE resources_variables.variable_id = delete_variables.variable_id"
)
# Delete variables
session.execute(
f"DELETE FROM variables WHERE dataset_id = '{str(dataset_id)}'"
)
# Delete temporal_coverage_index
session.execute(
"DELETE FROM temporal_coverage_index USING delete_resources WHERE temporal_coverage_index.indexed_id = delete_resources.resource_id"
)
# Delete spatial_coverage_index
session.execute(
"DELETE FROM spatial_coverage_index USING delete_resources WHERE spatial_coverage_index.indexed_id = delete_resources.resource_id"
)
# Delete resources
session.execute(
f"DELETE FROM resources WHERE dataset_id = '{str(dataset_id)}'"
)
# Delete dataset
session.execute(
f"DELETE FROM datasets WHERE id = '{str(dataset_id)}'")
return {"result": "success"}
def delete_resource(delete_definition: Dict) -> Dict:
if len(delete_definition) == 0:
raise BadRequestException({
'InvalidQueryDefinition':
f"Query definition must not be empty; received {delete_definition}"
})
if "provenance_id" not in delete_definition:
raise BadRequestException(
{'MissingRequiredParameter': "provenance_id"})
if "resource_id" not in delete_definition:
raise BadRequestException({'MissingRequiredParameter': "resource_id"})
provenance_id = delete_definition["provenance_id"]
resource_id = delete_definition["resource_id"]
try:
uuid.UUID(str(provenance_id))
except Exception:
raise BadRequestException({
'InvalidParameter':
f"'provenance_id' must be proper uuid; received {provenance_id}"
})
try:
uuid.UUID(str(resource_id))
except Exception:
raise BadRequestException({
'InvalidParameter':
f"'resource_id' must be proper uuid; received {resource_id}"
})
with session_scope() as session:
resource = Resource.find_by_record_id(resource_id, session)
if resource is None:
raise BadRequestException({
'InvalidParameter':
f"'Resource does not exist: '{str(resource_id)}'"
})
elif str(resource.provenance_id) != str(provenance_id):
raise BadRequestException({
'InvalidParameter':
f"provenance_id '{str(provenance_id)}' does not match"
})
else:
session.execute(
f"DELETE FROM spatial_coverage_index WHERE indexed_id = '{str(resource_id)}'"
)
session.execute(
f"DELETE FROM temporal_coverage_index WHERE indexed_id = '{str(resource_id)}'"
)
session.execute(
f"DELETE FROM resources_variables WHERE resource_id = '{str(resource_id)}'"
)
session.execute(
f"DELETE FROM resources WHERE id = '{str(resource_id)}'")
return {"result": "success"}