def discover(self, request, context):
logger.info("discovering.")
pprint(request)
descriptor_set = FileDescriptorSet()
for entity in self.event_sourced_entities + self.action_protocol_entities:
logger.info(f"entity: {entity.name()}")
for descriptor in entity.file_descriptors:
logger.info(f"discovering {descriptor.name}")
logger.info(f"SD: {entity.service_descriptor.full_name}")
from_string = FileDescriptorProto.FromString(
descriptor.serialized_pb)
descriptor_set.file.append(from_string)
descriptor_set.file.append(
FileDescriptorProto.FromString(Default().FindFileByName(
"google/protobuf/empty.proto").serialized_pb))
descriptor_set.file.append(
FileDescriptorProto.FromString(Default().FindFileByName(
"cloudstate/entity_key.proto").serialized_pb))
descriptor_set.file.append(
FileDescriptorProto.FromString(Default().FindFileByName(
"cloudstate/eventing.proto").serialized_pb))
descriptor_set.file.append(
FileDescriptorProto.FromString(Default().FindFileByName(
"google/protobuf/descriptor.proto").serialized_pb))
descriptor_set.file.append(
FileDescriptorProto.FromString(Default().FindFileByName(
"google/api/annotations.proto").serialized_pb))
descriptor_set.file.append(
FileDescriptorProto.FromString(Default().FindFileByName(
"google/api/http.proto").serialized_pb))
descriptor_set.file.append(
FileDescriptorProto.FromString(Default().FindFileByName(
"google/api/httpbody.proto").serialized_pb))
descriptor_set.file.append(
FileDescriptorProto.FromString(Default().FindFileByName(
"google/protobuf/any.proto").serialized_pb))
spec = entity_pb2.EntitySpec(
service_info=entity_pb2.ServiceInfo(
service_name="",
service_version="0.1.0",
service_runtime="Python " + platform.python_version() + " [" +
platform.python_implementation() + " " +
platform.python_compiler() + "]",
support_library_name="cloudstate-python-support",
support_library_version="0.1.0",
),
entities=[
entity_pb2.Entity(
entity_type=entity.entity_type(),
service_name=entity.service_descriptor.full_name,
persistence_id=entity.persistence_id,
) for entity in self.event_sourced_entities +
self.action_protocol_entities
],
proto=descriptor_set.SerializeToString(),
)
return spec
def discover(self, request, context):
pprint(request)
descriptor_set = FileDescriptorSet()
for entity in self.event_sourced_entities:
for descriptor in entity.file_descriptors:
descriptor_set.file.append(FileDescriptorProto.FromString(descriptor.serialized_pb))
descriptor_set.file.append(
FileDescriptorProto.FromString(Default().FindFileByName('google/protobuf/empty.proto').serialized_pb)
)
descriptor_set.file.append(
FileDescriptorProto.FromString(Default().FindFileByName('cloudstate/entity_key.proto').serialized_pb)
)
descriptor_set.file.append(
FileDescriptorProto.FromString(Default().FindFileByName('google/protobuf/descriptor.proto').serialized_pb)
)
descriptor_set.file.append(
FileDescriptorProto.FromString(Default().FindFileByName('google/api/annotations.proto').serialized_pb)
)
descriptor_set.file.append(
FileDescriptorProto.FromString(Default().FindFileByName('google/api/http.proto').serialized_pb)
)
spec = entity_pb2.EntitySpec(
service_info=entity_pb2.ServiceInfo(
service_version='0.1.0',
service_runtime='Python ' + platform.python_version() + ' [' + platform.python_implementation() + ' ' +
platform.python_compiler() + ']',
support_library_name='cloudstate-python-support',
support_library_version='0.1.0'
),
entities=[
entity_pb2.Entity(
entity_type=entity.entity_type(),
service_name=entity.service_descriptor.full_name,
persistence_id=entity.persistence_id,
)
for entity in self.event_sourced_entities],
proto=descriptor_set.SerializeToString()
)
return spec
def _createDescriptorFile(self):
set_proto = FileDescriptorSet()
file_proto = set_proto.file.add(name='types.proto',
package='tensorflow',
syntax='proto3')
enum_proto = file_proto.enum_type.add(name='DataType')
enum_proto.value.add(name='DT_DOUBLE', number=0)
enum_proto.value.add(name='DT_BOOL', number=1)
file_proto = set_proto.file.add(name='test_example.proto',
package='tensorflow.contrib.proto',
dependency=['types.proto'])
message_proto = file_proto.message_type.add(name='TestCase')
message_proto.field.add(
name='values',
number=1,
type=FieldDescriptorProto.TYPE_MESSAGE,
type_name='.tensorflow.contrib.proto.TestValue',
label=FieldDescriptorProto.LABEL_REPEATED)
message_proto.field.add(name='shapes',
number=2,
type=FieldDescriptorProto.TYPE_INT32,
label=FieldDescriptorProto.LABEL_REPEATED)
message_proto.field.add(name='sizes',
number=3,
type=FieldDescriptorProto.TYPE_INT32,
label=FieldDescriptorProto.LABEL_REPEATED)
message_proto.field.add(
name='fields',
number=4,
type=FieldDescriptorProto.TYPE_MESSAGE,
type_name='.tensorflow.contrib.proto.FieldSpec',
label=FieldDescriptorProto.LABEL_REPEATED)
message_proto = file_proto.message_type.add(name='TestValue')
message_proto.field.add(name='double_value',
number=1,
type=FieldDescriptorProto.TYPE_DOUBLE,
label=FieldDescriptorProto.LABEL_REPEATED)
message_proto.field.add(name='bool_value',
number=2,
type=FieldDescriptorProto.TYPE_BOOL,
label=FieldDescriptorProto.LABEL_REPEATED)
message_proto = file_proto.message_type.add(name='FieldSpec')
message_proto.field.add(name='name',
number=1,
type=FieldDescriptorProto.TYPE_STRING,
label=FieldDescriptorProto.LABEL_OPTIONAL)
message_proto.field.add(name='dtype',
number=2,
type=FieldDescriptorProto.TYPE_ENUM,
type_name='.tensorflow.DataType',
label=FieldDescriptorProto.LABEL_OPTIONAL)
message_proto.field.add(
name='value',
number=3,
type=FieldDescriptorProto.TYPE_MESSAGE,
type_name='.tensorflow.contrib.proto.TestValue',
label=FieldDescriptorProto.LABEL_OPTIONAL)
fn = os.path.join(self.get_temp_dir(), 'descriptor.pb')
with open(fn, 'wb') as f:
f.write(set_proto.SerializeToString())
return fn