def autocomplete_model_properties(
organization_id: int,
model_name: str,
token_info: Claim,
dataset_id: Optional[int] = None,
) -> JsonDict:
x_bf_trace_id = AuditLogger.trace_id_header()
db = authorize_search(organization_id, x_bf_trace_id, token_info)
ds_id = None if dataset_id is None else DatasetId(dataset_id)
datasets_properties_operators = list(
db.suggest_properties(model_filter=ModelFilter(name=model_name),
dataset_id=ds_id))
datasets = {d for (d, _, _) in datasets_properties_operators}
properties_and_operators = unique_everseen(
[(p, op) for (_, p, op) in datasets_properties_operators],
key=lambda t: prop_key(t[0]),
)
# Write to the audit log:
AuditLogger.get().message().append("organization", organization_id).append(
"datasets", *[str(ds.id) for ds in datasets]).log(x_bf_trace_id)
# If a name is a duplicate, include its type in the output display name
# to disambinguate:
return [
property_to_suggestion(p, ops) for (p, ops) in properties_and_operators
]
def get_all_concept_instances(
db: PartitionedDatabase,
concept_id_or_name: str,
limit: int,
offset: int,
order_by: Optional[str] = None,
ascending: Optional[bool] = None,
) -> List[JsonDict]:
with db.transaction() as tx:
model = db.get_model_tx(tx, concept_id_or_name)
properties = db.get_properties_tx(tx, concept_id_or_name)
results = db.get_all_records_offset_tx(
tx,
model=model,
limit=limit,
offset=offset,
fill_missing=True,
order_by=None
if order_by is None and ascending is None else OrderByField(
name="created_at" if order_by is None else order_by,
ascending=True if ascending is None else ascending,
),
)
x_bf_trace_id = AuditLogger.trace_id_header()
record_ids = []
instances = []
for record in results:
record_ids.append(str(record.id))
instances.append(to_concept_instance(record, model, properties))
AuditLogger.get().message().append("records",
*record_ids).log(x_bf_trace_id)
return instances
def create_concept_instance(db: PartitionedDatabase, concept_id_or_name: str,
body: JsonDict):
with db.transaction() as tx:
model = db.get_model_tx(tx, concept_id_or_name)
properties = db.get_properties_tx(tx, concept_id_or_name)
record = to_record(properties, body["values"])
records = db.create_records_tx(tx,
concept_id_or_name, [record],
fill_missing=True)
if not records:
raise BadRequest(
f"Could not create concept instance [{concept_id_or_name}]")
record = records[0]
# Log the created concept instance:
x_bf_trace_id = AuditLogger.trace_id_header()
# Emit "CreateRecord" event:
PennsieveJobsClient.get().send_changelog_event(
organization_id=db.organization_id,
dataset_id=db.dataset_id,
user_id=db.user_id,
event=CreateRecord(id=record.id,
name=record.name,
model_id=model.id),
trace_id=TraceId(x_bf_trace_id),
)
AuditLogger.get().message().append("records",
str(record.id)).log(x_bf_trace_id)
return to_concept_instance(record, model, properties), 201
def get_all_package_proxies(
db: PartitionedDatabase, record_id: RecordId, limit: int = 100, offset: int = 0
) -> JsonDict:
total_count, proxies = db.get_package_proxies_for_record(
record_id, limit=limit, offset=offset
)
x_bf_trace_id = AuditLogger.trace_id_header()
package_proxy_ids = []
packages = []
for p in proxies:
package_proxy_ids.append(str(p.id))
packages.append(p.to_dict())
AuditLogger.get().message().append("package-proxies", *package_proxy_ids).log(
x_bf_trace_id
)
return {
"limit": limit,
"offset": offset,
"totalCount": total_count,
"packages": packages,
}
def create_proxy_instance(db: PartitionedDatabase, proxy_type: str,
body: JsonDict) -> List[JsonDict]:
response = []
with db.transaction() as tx:
x_bf_trace_id = AuditLogger.trace_id_header()
link_targets = []
package_ids = []
for target in body["targets"]:
link_target = target["linkTarget"]
relationship_type = target["relationshipType"]
link_targets.append(link_target)
concept_link_target = to_proxy_link_target(link_target)
if concept_link_target is None:
raise InvalidPackageProxyLinkTargetError(link_target=str(body))
package = PennsieveApiClient.get().get_package_ids(
db.dataset_node_id,
body["external_id"],
headers=dict(**auth_header(),
**with_trace_id_header(x_bf_trace_id)),
)
package_ids.append(str(package.id))
package_proxy = db.create_package_proxy_tx(
tx=tx,
record=concept_link_target.id,
package_id=package.id,
package_node_id=package.node_id,
legacy_relationship_type=relationship_type,
)
linkResult = {
"proxyInstance":
to_proxy_instance(PROXY_TYPE, package_proxy),
"relationshipInstance":
make_proxy_relationship_instance(concept_link_target.id,
package_proxy,
relationship_type),
}
response.append(linkResult)
AuditLogger.get().message().append("link-targets", *link_targets).append(
"packages", *package_ids).log(x_bf_trace_id)
return response, 201
def get_records_related_to_package(
db: PartitionedDatabase,
proxy_type: str,
package_id: str,
concept_id_or_name: str,
limit: Optional[int] = None,
offset: Optional[int] = None,
relationship_order_by: Optional[str] = None,
record_order_by: Optional[str] = None,
ascending: bool = False,
) -> List[JsonDict]:
with db.transaction() as tx:
x_bf_trace_id = AuditLogger.trace_id_header()
model = db.get_model_tx(tx, concept_id_or_name)
properties = db.get_properties_tx(tx, concept_id_or_name)
results = []
package_proxy_ids = []
record_ids = []
for pp, r in db.get_records_related_to_package_tx(
tx=tx,
package_id=PackageNodeId(package_id),
related_model_id_or_name=concept_id_or_name,
limit=limit,
offset=offset,
relationship_order_by=relationship_order_by,
record_order_by=record_order_by,
ascending=ascending,
):
package_proxy_ids.append(str(pp.id))
record_ids.append(str(r.id))
t = (
# All package-to-record relationships are defined with the
# internal `@IN_PACKAGE` relationship type:
# (Package)<-[`@IN_PACKAGE`]-(Record)
# For legacy consistency, we just use the generic "belongs_to"
# here:
make_proxy_relationship_instance(r.id, pp, "belongs_to"),
to_concept_instance(r, model, properties),
)
results.append(t)
AuditLogger.get().message().append("package-proxies",
*package_proxy_ids).append(
"records",
*record_ids).log(x_bf_trace_id)
return results
def update_record(
db: PartitionedDatabase, record_id: RecordId, body: JsonDict
) -> JsonDict:
x_bf_trace_id = AuditLogger.trace_id_header()
record = db.get_record(record_id, embed_linked=False, fill_missing=True)
if record is None:
raise NotFound(f"Could not get record {record_id}")
model = db.get_model_of_record(record)
if model is None:
raise NotFound(f"Cound not find model for record {record_id}")
properties = db.get_properties(model)
updated_record = db.update_record(record_id, body["values"])
# Emit "UpdateRecord" event:
PennsieveJobsClient.get().send_changelog_event(
organization_id=db.organization_id,
dataset_id=db.dataset_id,
user_id=db.user_id,
event=UpdateRecord(
id=record.id,
name=record.name,
model_id=model.id,
properties=UpdateRecord.compute_diff(
properties, record.values, updated_record.values
),
),
trace_id=TraceId(x_bf_trace_id),
)
return updated_record.to_dict()
def update_properties(db: PartitionedDatabase, model_id_or_name: str,
body: List[JsonDict]):
x_bf_trace_id = AuditLogger.trace_id_header()
payload: List[ModelProperty] = ModelProperty.schema().load(body, many=True)
with db.transaction() as tx:
model = db.get_model_tx(tx, model_id_or_name)
properties = db.update_properties_tx(tx, model, *payload)
PennsieveJobsClient.get().send_changelog_events(
organization_id=db.organization_id,
dataset_id=db.dataset_id,
user_id=db.user_id,
events=[
CreateModelProperty(property_name=p.name,
model_id=UUID(model.id),
model_name=model.name)
if created else UpdateModelProperty(property_name=p.name,
model_id=UUID(model.id),
model_name=model.name)
for p, created in properties
],
trace_id=TraceId(x_bf_trace_id),
)
return [p.to_dict() for p, _ in properties]
def update_properties(
db: PartitionedDatabase, concept_id_or_name: str, body: List[JsonDict]
) -> List[JsonDict]:
x_bf_trace_id = AuditLogger.trace_id_header()
with db.transaction() as tx:
model = db.get_model_tx(tx, concept_id_or_name)
properties = db.update_properties_tx(
tx, model, *[to_model_property(p) for p in body]
)
# Emit "UpdateModel" event:
PennsieveJobsClient.get().send_changelog_events(
organization_id=db.organization_id,
dataset_id=db.dataset_id,
user_id=db.user_id,
events=[
CreateModelProperty(
property_name=p.name, model_id=UUID(model.id), model_name=model.name
)
if created
else UpdateModelProperty(
property_name=p.name, model_id=UUID(model.id), model_name=model.name
)
for p, created in properties
],
trace_id=TraceId(x_bf_trace_id),
)
return [to_property_dict(p) for p, _ in properties]
def autocomplete_model_property_values(
organization_id: int,
model_name: str,
property_name: str,
token_info: Claim,
dataset_id: Optional[int] = None,
prefix: Optional[str] = None,
unit: Optional[str] = None,
limit: Optional[int] = 10,
) -> List[SuggestedValues]:
x_bf_trace_id = AuditLogger.trace_id_header()
db = authorize_search(organization_id, x_bf_trace_id, token_info)
ds_id = None if dataset_id is None else DatasetId(dataset_id)
suggested_values: List[Tuple[Dataset,
SuggestedValues]] = db.suggest_values(
model_name=model_name,
model_property_name=property_name,
dataset_id=ds_id,
matching_prefix=prefix,
unit=unit,
limit=limit,
)
datasets: List[Dataset] = [d for d, _ in suggested_values]
# Write to the audit log:
AuditLogger.get().message().append("organization", organization_id).append(
"datasets", *[str(ds.id) for ds in datasets]).log(x_bf_trace_id)
# Group properties by data type
grouped_suggestions = defaultdict(list)
for _, suggestion in suggested_values:
grouped_suggestions[suggestion.property_.data_type.to_json()].append(
suggestion)
return [{
"property":
property_to_suggestion(suggestions[0].property_,
suggestions[0].operators),
"values":
list(chain.from_iterable(sv.values for sv in suggestions)),
} for suggestions in grouped_suggestions.values()]
def get_files_paged(
db: PartitionedDatabase,
concept_id: str,
id_: str,
limit: int = 100,
offset: int = 0,
order_by: str = "createdAt",
ascending: bool = True,
) -> JsonDict:
x_bf_trace_id = AuditLogger.trace_id_header()
total_count, package_proxies = db.get_package_proxies_for_record(
id_, limit=limit, offset=offset)
package_proxies = list(package_proxies)
# If any packages cannot be found they will be ignored in this response
# TODO: https://app.clickup.com/t/3gaec4
packages = PennsieveApiClient.get().get_packages(
db.dataset_node_id,
package_ids=[proxy.package_id for proxy in package_proxies],
headers=dict(**auth_header(), **with_trace_id_header(x_bf_trace_id)),
)
package_proxy_ids = [str(p.id) for p in package_proxies]
package_ids = packages.keys()
AuditLogger.get().message().append(
"package-proxies",
*package_proxy_ids).append("packages",
*package_ids).log(TraceId(x_bf_trace_id))
return {
"limit":
limit,
"offset":
offset,
"totalCount":
total_count,
"results": [[{
"id": proxy.id
}, to_legacy_package_dto(packages[proxy.package_id])]
for proxy in package_proxies
if proxy.package_id in packages],
}
def filtered_datasets_by_model(
organization_id: int,
token_info: Claim,
model_name: str,
) -> JsonDict:
x_bf_trace_id = AuditLogger.trace_id_header()
db = authorize_search(organization_id, x_bf_trace_id, token_info)
datasets = db.get_dataset_id_by_model_name(model_name)
AuditLogger.get().message().append("organization", organization_id).append(
"datasets", *[str(ds.id) for ds in datasets]).log(x_bf_trace_id)
return {
"datasets": [dataset.to_dict() for dataset in datasets],
"count": len(datasets),
}
def get_all_records(
db: PartitionedDatabase,
model_id_or_name: str,
limit: int,
linked: bool,
next_page: Optional[NextPageCursor] = None,
) -> List[JsonDict]:
x_bf_trace_id = AuditLogger.trace_id_header()
paged_result = db.get_all_records(model_id_or_name,
limit=limit,
embed_linked=linked,
next_page=next_page)
record_ids = []
for record in paged_result:
record_ids.append(str(record.id))
AuditLogger.get().message().append("records",
*record_ids).log(TraceId(x_bf_trace_id))
return PagedResult(results=paged_result.results,
next_page=paged_result.next_page).to_dict()
def delete_model(db: PartitionedDatabase, model_id_or_name: str) -> None:
model = db.delete_model(model_id_or_name)
x_bf_trace_id = AuditLogger.trace_id_header()
# Emit "DeleteModel" event:
PennsieveJobsClient.get().send_changelog_event(
organization_id=db.organization_id,
dataset_id=db.dataset_id,
user_id=db.user_id,
event=DeleteModel(id=model.id, name=model.name),
trace_id=TraceId(x_bf_trace_id),
)
return None
def create_concept(db: PartitionedDatabase, body: JsonDict) -> Tuple[JsonDict, int]:
x_bf_trace_id = AuditLogger.trace_id_header()
model = db.create_model(**filter_model_dict(body))
# Emit "CreateModel" event:
PennsieveJobsClient.get().send_changelog_event(
organization_id=db.organization_id,
dataset_id=db.dataset_id,
user_id=db.user_id,
event=CreateModel(id=UUID(model.id), name=model.name),
trace_id=TraceId(x_bf_trace_id),
)
return to_concept_dict(model, property_count=0), 201
def get_files(
db: PartitionedDatabase,
concept_id: str,
id_: str,
limit: int = 100,
offset: int = 0,
order_by: str = "createdAt",
ascending: bool = True,
) -> JsonDict:
x_bf_trace_id = AuditLogger.trace_id_header()
_, package_proxies = db.get_package_proxies_for_record(
id_, limit=limit, offset=offset
)
package_proxies = list(package_proxies)
# If any packages cannot be found they will be ignored in this response
# TODO: https://app.clickup.com/t/3gaec4
packages = PennsieveApiClient.get().get_packages(
db.dataset_node_id,
package_ids=[proxy.package_id for proxy in package_proxies],
headers=dict(**auth_header(), **with_trace_id_header(x_bf_trace_id)),
)
package_proxy_ids = [str(p.id) for p in package_proxies]
package_ids = packages.keys()
AuditLogger.get().message().append("package-proxies", *package_proxy_ids).append(
"packages", *package_ids
).log(TraceId(x_bf_trace_id))
# Yes, this response is crazy: an array of two-tuples (arrays), containing a
# single object with the proxy id, and the package DTO.
return [
[{"id": proxy.id}, to_legacy_package_dto(packages[proxy.package_id])]
for proxy in package_proxies
if proxy.package_id in packages
]
def get_all_proxy_instances(db: PartitionedDatabase,
proxy_type: str) -> List[JsonDict]:
with db.transaction() as tx:
proxy_instances = []
package_proxy_ids = []
record_ids = []
x_bf_trace_id = AuditLogger.trace_id_header()
for package_proxy, record in db.get_all_package_proxies_tx(tx):
proxy_instances.append(to_proxy_instance(PROXY_TYPE,
package_proxy))
package_proxy_ids.append(str(package_proxy.id))
record_ids.append(str(record.id))
AuditLogger.get().message().append("package-proxies",
*package_proxy_ids).append(
"records",
*record_ids).log(x_bf_trace_id)
return proxy_instances
def update_model(db: PartitionedDatabase, model_id_or_name: str,
body: JsonDict) -> JsonDict:
model = db.update_model(model_id_or_name, **body)
x_bf_trace_id = AuditLogger.trace_id_header()
# Emit "UpdateModel" event:
PennsieveJobsClient.get().send_changelog_event(
organization_id=db.organization_id,
dataset_id=db.dataset_id,
user_id=db.user_id,
event=UpdateModel(id=model.id, name=model.name),
trace_id=TraceId(x_bf_trace_id),
)
return model.to_dict()
def create_model(db: PartitionedDatabase,
body: JsonDict) -> Tuple[JsonDict, int]:
model = db.create_model(**body)
x_bf_trace_id = AuditLogger.trace_id_header()
# Emit "CreateModel" event:
PennsieveJobsClient.get().send_changelog_event(
organization_id=db.organization_id,
dataset_id=db.dataset_id,
user_id=db.user_id,
event=CreateModel(id=model.id, name=model.name),
trace_id=TraceId(x_bf_trace_id),
)
return model.to_dict(), 201
def create_concept_instance_batch(db: PartitionedDatabase,
concept_id_or_name: str, body: JsonDict):
with db.transaction() as tx:
model = db.get_model_tx(tx, concept_id_or_name)
properties = db.get_properties_tx(tx, concept_id_or_name)
requests = [to_record(properties, req["values"]) for req in body]
records = db.create_records_tx(tx,
concept_id_or_name,
requests,
fill_missing=True)
instances = [
to_concept_instance(r, model, properties) for r in records
]
if not instances:
raise BadRequest(
f"Could not create concept instances for [{concept_id_or_name}]"
)
# Log the created concept instance:
x_bf_trace_id = AuditLogger.trace_id_header()
# Emit "CreateRecord" events:
PennsieveJobsClient.get().send_changelog_events(
organization_id=db.organization_id,
dataset_id=db.dataset_id,
user_id=db.user_id,
events=[
CreateRecord(id=r.id, name=r.name, model_id=model.id)
for r in records
],
trace_id=TraceId(x_bf_trace_id),
)
AuditLogger.get().message().append("records",
*[str(r.id) for r in records
]).log(x_bf_trace_id)
return instances
def delete_property(
db: PartitionedDatabase,
model_id: str,
property_name: str,
modify_records: bool = False,
) -> None:
x_bf_trace_id = AuditLogger.trace_id_header()
max_record_count = current_app.config[
"config"].max_record_count_for_property_deletion
with db.transaction() as tx:
model = db.get_model_tx(tx, model_id)
if modify_records:
record_count = db.model_property_record_count_tx(
tx, model_id, property_name)
if record_count > 0:
if record_count > max_record_count:
raise BadRequest(
f"Cannot delete properties that are used on > {max_record_count} records. This property is used on {record_count}"
)
model_properties = [
p for p in db.get_properties_tx(tx, model_id)
if p.name == property_name
]
if not model_properties:
raise NotFound(f"no such property {property_name} exists")
updated_records = db.delete_property_from_all_records_tx(
tx, model_id, model_properties[0])
if updated_records != record_count:
raise ServerError(
"the property was not removed from all records")
deleted = db.delete_property_tx(tx, model_id, property_name)
if deleted is None:
raise NotFound(
f"Could not delete property [{model_id}.{property_name}]")
PennsieveJobsClient.get().send_changelog_event(
organization_id=db.organization_id,
dataset_id=db.dataset_id,
user_id=db.user_id,
event=DeleteModelProperty(
property_name=deleted.name,
model_id=UUID(model.id),
model_name=model.name,
),
trace_id=TraceId(x_bf_trace_id),
)
def autocomplete_models(
organization_id: int,
token_info: Claim,
dataset_id: Optional[int] = None,
related_to: Optional[str] = None,
) -> JsonDict:
x_bf_trace_id = AuditLogger.trace_id_header()
db = authorize_search(organization_id, x_bf_trace_id, token_info)
ds_id = None if dataset_id is None else DatasetId(dataset_id)
datasets_and_models = list(
db.suggest_models(dataset_id=ds_id, related_to=related_to))
datasets = {d for (d, _) in datasets_and_models}
models = unique_everseen((m for (_, m) in datasets_and_models),
key=lambda m: m.name)
# Write to the audit log:
AuditLogger.get().message().append("organization", organization_id).append(
"datasets", *[str(ds.id) for ds in datasets]).log(x_bf_trace_id)
return {"models": [model.to_dict() for model in models]}
def update_concept(
db: PartitionedDatabase, concept_id_or_name: str, body: JsonDict
) -> JsonDict:
x_bf_trace_id = AuditLogger.trace_id_header()
with db.transaction() as tx:
model = db.update_model_tx(tx, concept_id_or_name, **filter_model_dict(body))
property_count = db.get_property_counts_tx(tx, [model.id])[model.id]
# Emit "UpdateModel" event:
PennsieveJobsClient.get().send_changelog_event(
organization_id=db.organization_id,
dataset_id=db.dataset_id,
user_id=db.user_id,
event=UpdateModel(id=UUID(model.id), name=model.name),
trace_id=TraceId(x_bf_trace_id),
)
return to_concept_dict(model, property_count)
def create_package_proxy(
db: PartitionedDatabase, record_id: RecordId, package_id: PackageId, body: JsonDict
) -> Tuple[JsonDict, int]:
x_bf_trace_id = AuditLogger.trace_id_header()
package = PennsieveApiClient.get().get_package_ids(
db.dataset_node_id,
package_id,
headers=dict(**auth_header(), **with_trace_id_header(x_bf_trace_id)),
)
return (
db.create_package_proxy(
record_id, package_id=package.id, package_node_id=package.node_id
).to_dict(),
201,
)
def update_concept_instance(
db: PartitionedDatabase,
concept_id_or_name: str,
concept_instance_id: str,
body: JsonDict,
) -> JsonDict:
with db.transaction() as tx:
model = db.get_model_tx(tx, concept_id_or_name)
properties = db.get_properties_tx(tx, concept_id_or_name)
record = db.get_record_tx(
tx,
concept_instance_id,
embed_linked=False,
fill_missing=True,
)
if record is None:
raise NotFound(f"Could not get record {concept_instance_id}")
updated_record = db.update_record_tx(
tx,
concept_instance_id,
to_record(properties, body["values"]),
fill_missing=True,
)
x_bf_trace_id = AuditLogger.trace_id_header()
# Emit a "UpdateRecord" event:
PennsieveJobsClient.get().send_changelog_event(
organization_id=db.organization_id,
dataset_id=db.dataset_id,
user_id=db.user_id,
event=UpdateRecord(
id=record.id,
name=record.name,
model_id=model.id,
properties=UpdateRecord.compute_diff(properties, record.values,
updated_record.values),
),
trace_id=TraceId(x_bf_trace_id),
)
return to_concept_instance(updated_record, model, properties)
def create_record(db: PartitionedDatabase, model_id_or_name: str,
body: JsonDict) -> Tuple[JsonDict, int]:
record_values = [body["values"]]
x_bf_trace_id = AuditLogger.trace_id_header()
record = db.create_records(model_id_or_name, record_values)[0]
model = db.get_model(model_id_or_name)
if model is None:
raise NotFound(f"Model {model_id_or_name}")
# Emit "CreateRecord" event:
PennsieveJobsClient.get().send_changelog_event(
organization_id=db.organization_id,
dataset_id=db.dataset_id,
user_id=db.user_id,
event=CreateRecord(id=record.id, name=record.name, model_id=model.id),
trace_id=TraceId(x_bf_trace_id),
)
return record.to_dict(), 201
def delete_concept_instances(db: PartitionedDatabase,
concept_id_or_name: str) -> JsonDict:
# HACK: request bodies on DELETE requests do not have defined
# semantics and are not directly support by OpenAPI/Connexion. See
# - https://swagger.io/docs/specification/describing-request-body
# - https://github.com/zalando/connexion/issues/896
body = connexion.request.json
success = []
errors = []
events = []
with db.transaction() as tx:
model = db.get_model_tx(tx, concept_id_or_name)
properties = db.get_properties_tx(tx, model)
for instance_id in body:
try:
deleted = db.delete_record_tx(tx, instance_id, properties)
events.append(
DeleteRecord(
id=deleted.id,
name=deleted.name,
model_id=model.id,
))
except Exception as e: # noqa: F841
errors.append([instance_id, f"Could not delete {instance_id}"])
else:
success.append(instance_id)
x_bf_trace_id = AuditLogger.trace_id_header()
# Emit a "DeleteRecord" event:
PennsieveJobsClient.get().send_changelog_events(
organization_id=db.organization_id,
dataset_id=db.dataset_id,
user_id=db.user_id,
events=events,
trace_id=TraceId(x_bf_trace_id),
)
return {"success": success, "errors": errors}
def delete_record(db: PartitionedDatabase, record_id: RecordId) -> None:
x_bf_trace_id = AuditLogger.trace_id_header()
model = db.get_model_of_record(record_id)
if model is None:
raise NotFound(f"Cound not find model for record {record_id}")
properties = db.get_properties(model)
deleted = db.delete_record(record_id, properties)
# Emit "DeleteRecord" event:
PennsieveJobsClient.get().send_changelog_event(
organization_id=db.organization_id,
dataset_id=db.dataset_id,
user_id=db.user_id,
event=DeleteRecord(id=deleted.id, name=deleted.name, model_id=model.id),
trace_id=TraceId(x_bf_trace_id),
)
return None
def create_records(
db: PartitionedDatabase, model_id_or_name: str, body: List[Dict]
) -> Tuple[List[JsonDict], int]:
x_bf_trace_id = AuditLogger.trace_id_header()
record_values = [r["values"] for r in body]
records = db.create_records(model_id_or_name, records=record_values)
model = db.get_model(model_id_or_name)
if model is None:
raise NotFound(f"Model {model_id_or_name}")
# Emit "CreateRecord" event:
events = [CreateRecord(id=r.id, name=r.name, model_id=model.id) for r in records]
PennsieveJobsClient.get().send_changelog_events(
organization_id=db.organization_id,
dataset_id=db.dataset_id,
user_id=db.user_id,
events=events,
trace_id=TraceId(x_bf_trace_id),
)
return [record.to_dict() for record in records], 201
def delete_concept_instance(db: PartitionedDatabase, concept_id_or_name: str,
concept_instance_id: str) -> None:
with db.transaction() as tx:
model = db.get_model_tx(tx, concept_id_or_name)
properties = db.get_properties_tx(tx, concept_id_or_name)
record = db.delete_record_tx(tx, concept_instance_id, properties)
x_bf_trace_id = AuditLogger.trace_id_header()
# Emit a "DeleteRecord" event:
PennsieveJobsClient.get().send_changelog_event(
organization_id=db.organization_id,
dataset_id=db.dataset_id,
user_id=db.user_id,
event=DeleteRecord(id=record.id,
name=record.name,
model_id=model.id),
trace_id=TraceId(x_bf_trace_id),
)
return to_concept_instance(record, model, properties)
