import google.protobuf from packaging.version import Version if Version(google.protobuf.__version__).major >= 5: # -*- coding: utf-8 -*- # Generated by the protocol buffer compiler. DO NOT EDIT! # source: assessments.proto # Protobuf Python Version: 5.26.0 """Generated protocol buffer code.""" from google.protobuf import descriptor as _descriptor from google.protobuf import descriptor_pool as _descriptor_pool from google.protobuf import symbol_database as _symbol_database from google.protobuf.internal import builder as _builder # @@protoc_insertion_point(imports) _sym_db = _symbol_database.Default() from . import databricks_pb2 as databricks__pb2 from google.protobuf import struct_pb2 as google_dot_protobuf_dot_struct__pb2 from google.protobuf import timestamp_pb2 as google_dot_protobuf_dot_timestamp__pb2 DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x11\x61ssessments.proto\x12\x12mlflow.assessments\x1a\x10\x64\x61tabricks.proto\x1a\x1cgoogle/protobuf/struct.proto\x1a\x1fgoogle/protobuf/timestamp.proto\"\xc6\x01\n\x10\x41ssessmentSource\x12J\n\x0bsource_type\x18\x01 \x01(\x0e\x32/.mlflow.assessments.AssessmentSource.SourceTypeB\x04\xf8\x86\x19\x01\x12\x17\n\tsource_id\x18\x02 \x01(\tB\x04\xf8\x86\x19\x01\"M\n\nSourceType\x12\x1b\n\x17SOURCE_TYPE_UNSPECIFIED\x10\x00\x12\t\n\x05HUMAN\x10\x01\x12\r\n\tLLM_JUDGE\x10\x02\x12\x08\n\x04\x43ODE\x10\x03\"<\n\x0f\x41ssessmentError\x12\x12\n\nerror_code\x18\x01 \x01(\t\x12\x15\n\rerror_message\x18\x02 \x01(\t\"4\n\x0b\x45xpectation\x12%\n\x05value\x18\x02 \x01(\x0b\x32\x16.google.protobuf.Value\"e\n\x08\x46\x65\x65\x64\x62\x61\x63k\x12%\n\x05value\x18\x02 \x01(\x0b\x32\x16.google.protobuf.Value\x12\x32\n\x05\x65rror\x18\x03 \x01(\x0b\x32#.mlflow.assessments.AssessmentError\"\xb1\x04\n\nAssessment\x12\x15\n\rassessment_id\x18\x01 \x01(\t\x12\x1d\n\x0f\x61ssessment_name\x18\x02 \x01(\tB\x04\xf8\x86\x19\x01\x12\x10\n\x08trace_id\x18\x03 \x01(\t\x12\x0f\n\x07span_id\x18\x04 \x01(\t\x12\x34\n\x06source\x18\x05 \x01(\x0b\x32$.mlflow.assessments.AssessmentSource\x12/\n\x0b\x63reate_time\x18\x06 \x01(\x0b\x32\x1a.google.protobuf.Timestamp\x12\x34\n\x10last_update_time\x18\x07 \x01(\x0b\x32\x1a.google.protobuf.Timestamp\x12\x30\n\x08\x66\x65\x65\x64\x62\x61\x63k\x18\t \x01(\x0b\x32\x1c.mlflow.assessments.FeedbackH\x00\x12\x36\n\x0b\x65xpectation\x18\n \x01(\x0b\x32\x1f.mlflow.assessments.ExpectationH\x00\x12\x11\n\trationale\x18\x0b \x01(\t\x12\x36\n\x05\x65rror\x18\x0c \x01(\x0b\x32#.mlflow.assessments.AssessmentErrorB\x02\x18\x01\x12>\n\x08metadata\x18\r \x03(\x0b\x32,.mlflow.assessments.Assessment.MetadataEntry\x1a/\n\rMetadataEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\t:\x02\x38\x01\x42\x07\n\x05valueB\x19\n\x14org.mlflow.api.proto\x90\x01\x01') _globals = globals() _builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals) _builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, 'assessments_pb2', _globals) if not _descriptor._USE_C_DESCRIPTORS: _globals['DESCRIPTOR']._loaded_options = None _globals['DESCRIPTOR']._serialized_options = b'\n\024org.mlflow.api.proto\220\001\001' _globals['_ASSESSMENTSOURCE'].fields_by_name['source_type']._loaded_options = None _globals['_ASSESSMENTSOURCE'].fields_by_name['source_type']._serialized_options = b'\370\206\031\001' _globals['_ASSESSMENTSOURCE'].fields_by_name['source_id']._loaded_options = None _globals['_ASSESSMENTSOURCE'].fields_by_name['source_id']._serialized_options = b'\370\206\031\001' _globals['_ASSESSMENT_METADATAENTRY']._loaded_options = None _globals['_ASSESSMENT_METADATAENTRY']._serialized_options = b'8\001' _globals['_ASSESSMENT'].fields_by_name['assessment_name']._loaded_options = None _globals['_ASSESSMENT'].fields_by_name['assessment_name']._serialized_options = b'\370\206\031\001' _globals['_ASSESSMENT'].fields_by_name['error']._loaded_options = None _globals['_ASSESSMENT'].fields_by_name['error']._serialized_options = b'\030\001' _globals['_ASSESSMENTSOURCE']._serialized_start=123 _globals['_ASSESSMENTSOURCE']._serialized_end=321 _globals['_ASSESSMENTSOURCE_SOURCETYPE']._serialized_start=244 _globals['_ASSESSMENTSOURCE_SOURCETYPE']._serialized_end=321 _globals['_ASSESSMENTERROR']._serialized_start=323 _globals['_ASSESSMENTERROR']._serialized_end=383 _globals['_EXPECTATION']._serialized_start=385 _globals['_EXPECTATION']._serialized_end=437 _globals['_FEEDBACK']._serialized_start=439 _globals['_FEEDBACK']._serialized_end=540 _globals['_ASSESSMENT']._serialized_start=543 _globals['_ASSESSMENT']._serialized_end=1104 _globals['_ASSESSMENT_METADATAENTRY']._serialized_start=1048 _globals['_ASSESSMENT_METADATAENTRY']._serialized_end=1095 # @@protoc_insertion_point(module_scope) else: # -*- coding: utf-8 -*- # Generated by the protocol buffer compiler. DO NOT EDIT! # source: assessments.proto """Generated protocol buffer code.""" from google.protobuf import descriptor as _descriptor from google.protobuf import descriptor_pool as _descriptor_pool from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf import symbol_database as _symbol_database # @@protoc_insertion_point(imports) _sym_db = _symbol_database.Default() from . import databricks_pb2 as databricks__pb2 from google.protobuf import struct_pb2 as google_dot_protobuf_dot_struct__pb2 from google.protobuf import timestamp_pb2 as google_dot_protobuf_dot_timestamp__pb2 DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x11\x61ssessments.proto\x12\x12mlflow.assessments\x1a\x10\x64\x61tabricks.proto\x1a\x1cgoogle/protobuf/struct.proto\x1a\x1fgoogle/protobuf/timestamp.proto\"\xc6\x01\n\x10\x41ssessmentSource\x12J\n\x0bsource_type\x18\x01 \x01(\x0e\x32/.mlflow.assessments.AssessmentSource.SourceTypeB\x04\xf8\x86\x19\x01\x12\x17\n\tsource_id\x18\x02 \x01(\tB\x04\xf8\x86\x19\x01\"M\n\nSourceType\x12\x1b\n\x17SOURCE_TYPE_UNSPECIFIED\x10\x00\x12\t\n\x05HUMAN\x10\x01\x12\r\n\tLLM_JUDGE\x10\x02\x12\x08\n\x04\x43ODE\x10\x03\"<\n\x0f\x41ssessmentError\x12\x12\n\nerror_code\x18\x01 \x01(\t\x12\x15\n\rerror_message\x18\x02 \x01(\t\"4\n\x0b\x45xpectation\x12%\n\x05value\x18\x02 \x01(\x0b\x32\x16.google.protobuf.Value\"e\n\x08\x46\x65\x65\x64\x62\x61\x63k\x12%\n\x05value\x18\x02 \x01(\x0b\x32\x16.google.protobuf.Value\x12\x32\n\x05\x65rror\x18\x03 \x01(\x0b\x32#.mlflow.assessments.AssessmentError\"\xb1\x04\n\nAssessment\x12\x15\n\rassessment_id\x18\x01 \x01(\t\x12\x1d\n\x0f\x61ssessment_name\x18\x02 \x01(\tB\x04\xf8\x86\x19\x01\x12\x10\n\x08trace_id\x18\x03 \x01(\t\x12\x0f\n\x07span_id\x18\x04 \x01(\t\x12\x34\n\x06source\x18\x05 \x01(\x0b\x32$.mlflow.assessments.AssessmentSource\x12/\n\x0b\x63reate_time\x18\x06 \x01(\x0b\x32\x1a.google.protobuf.Timestamp\x12\x34\n\x10last_update_time\x18\x07 \x01(\x0b\x32\x1a.google.protobuf.Timestamp\x12\x30\n\x08\x66\x65\x65\x64\x62\x61\x63k\x18\t \x01(\x0b\x32\x1c.mlflow.assessments.FeedbackH\x00\x12\x36\n\x0b\x65xpectation\x18\n \x01(\x0b\x32\x1f.mlflow.assessments.ExpectationH\x00\x12\x11\n\trationale\x18\x0b \x01(\t\x12\x36\n\x05\x65rror\x18\x0c \x01(\x0b\x32#.mlflow.assessments.AssessmentErrorB\x02\x18\x01\x12>\n\x08metadata\x18\r \x03(\x0b\x32,.mlflow.assessments.Assessment.MetadataEntry\x1a/\n\rMetadataEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\t:\x02\x38\x01\x42\x07\n\x05valueB\x19\n\x14org.mlflow.api.proto\x90\x01\x01') _ASSESSMENTSOURCE = DESCRIPTOR.message_types_by_name['AssessmentSource'] _ASSESSMENTERROR = DESCRIPTOR.message_types_by_name['AssessmentError'] _EXPECTATION = DESCRIPTOR.message_types_by_name['Expectation'] _FEEDBACK = DESCRIPTOR.message_types_by_name['Feedback'] _ASSESSMENT = DESCRIPTOR.message_types_by_name['Assessment'] _ASSESSMENT_METADATAENTRY = _ASSESSMENT.nested_types_by_name['MetadataEntry'] _ASSESSMENTSOURCE_SOURCETYPE = _ASSESSMENTSOURCE.enum_types_by_name['SourceType'] AssessmentSource = _reflection.GeneratedProtocolMessageType('AssessmentSource', (_message.Message,), { 'DESCRIPTOR' : _ASSESSMENTSOURCE, '__module__' : 'assessments_pb2' # @@protoc_insertion_point(class_scope:mlflow.assessments.AssessmentSource) }) _sym_db.RegisterMessage(AssessmentSource) AssessmentError = _reflection.GeneratedProtocolMessageType('AssessmentError', (_message.Message,), { 'DESCRIPTOR' : _ASSESSMENTERROR, '__module__' : 'assessments_pb2' # @@protoc_insertion_point(class_scope:mlflow.assessments.AssessmentError) }) _sym_db.RegisterMessage(AssessmentError) Expectation = _reflection.GeneratedProtocolMessageType('Expectation', (_message.Message,), { 'DESCRIPTOR' : _EXPECTATION, '__module__' : 'assessments_pb2' # @@protoc_insertion_point(class_scope:mlflow.assessments.Expectation) }) _sym_db.RegisterMessage(Expectation) Feedback = _reflection.GeneratedProtocolMessageType('Feedback', (_message.Message,), { 'DESCRIPTOR' : _FEEDBACK, '__module__' : 'assessments_pb2' # @@protoc_insertion_point(class_scope:mlflow.assessments.Feedback) }) _sym_db.RegisterMessage(Feedback) Assessment = _reflection.GeneratedProtocolMessageType('Assessment', (_message.Message,), { 'MetadataEntry' : _reflection.GeneratedProtocolMessageType('MetadataEntry', (_message.Message,), { 'DESCRIPTOR' : _ASSESSMENT_METADATAENTRY, '__module__' : 'assessments_pb2' # @@protoc_insertion_point(class_scope:mlflow.assessments.Assessment.MetadataEntry) }) , 'DESCRIPTOR' : _ASSESSMENT, '__module__' : 'assessments_pb2' # @@protoc_insertion_point(class_scope:mlflow.assessments.Assessment) }) _sym_db.RegisterMessage(Assessment) _sym_db.RegisterMessage(Assessment.MetadataEntry) if _descriptor._USE_C_DESCRIPTORS == False: DESCRIPTOR._options = None DESCRIPTOR._serialized_options = b'\n\024org.mlflow.api.proto\220\001\001' _ASSESSMENTSOURCE.fields_by_name['source_type']._options = None _ASSESSMENTSOURCE.fields_by_name['source_type']._serialized_options = b'\370\206\031\001' _ASSESSMENTSOURCE.fields_by_name['source_id']._options = None _ASSESSMENTSOURCE.fields_by_name['source_id']._serialized_options = b'\370\206\031\001' _ASSESSMENT_METADATAENTRY._options = None _ASSESSMENT_METADATAENTRY._serialized_options = b'8\001' _ASSESSMENT.fields_by_name['assessment_name']._options = None _ASSESSMENT.fields_by_name['assessment_name']._serialized_options = b'\370\206\031\001' _ASSESSMENT.fields_by_name['error']._options = None _ASSESSMENT.fields_by_name['error']._serialized_options = b'\030\001' _ASSESSMENTSOURCE._serialized_start=123 _ASSESSMENTSOURCE._serialized_end=321 _ASSESSMENTSOURCE_SOURCETYPE._serialized_start=244 _ASSESSMENTSOURCE_SOURCETYPE._serialized_end=321 _ASSESSMENTERROR._serialized_start=323 _ASSESSMENTERROR._serialized_end=383 _EXPECTATION._serialized_start=385 _EXPECTATION._serialized_end=437 _FEEDBACK._serialized_start=439 _FEEDBACK._serialized_end=540 _ASSESSMENT._serialized_start=543 _ASSESSMENT._serialized_end=1104 _ASSESSMENT_METADATAENTRY._serialized_start=1048 _ASSESSMENT_METADATAENTRY._serialized_end=1095 # @@protoc_insertion_point(module_scope)