gopidesupavan commented on code in PR #62793: URL: https://github.com/apache/airflow/pull/62793#discussion_r2880693241
########## providers/common/ai/src/airflow/providers/common/ai/operators/llm_schema_compare.py: ########## @@ -0,0 +1,296 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. +"""Operator for cross-system schema drift detection powered by LLM reasoning.""" + +from __future__ import annotations + +import json +from collections.abc import Sequence +from functools import cached_property +from typing import TYPE_CHECKING, Any + +from pydantic import BaseModel, Field + +try: + from airflow.providers.common.sql.datafusion.engine import DataFusionEngine +except ImportError as e: + from airflow.providers.common.compat.sdk import AirflowOptionalProviderFeatureException + + raise AirflowOptionalProviderFeatureException(e) + + +from airflow.providers.common.ai.operators.llm import LLMOperator +from airflow.providers.common.compat.sdk import BaseHook + +if TYPE_CHECKING: + from airflow.providers.common.sql.config import DataSourceConfig + from airflow.providers.common.sql.hooks.sql import DbApiHook + from airflow.sdk import Context + + +class SchemaMismatch(BaseModel): + """A single schema mismatch between data sources.""" + + source: str = Field(description="Source table") + target: str = Field(description="Target table") + column: str = Field(description="Column name where the mismatch was detected") + source_type: str = Field(description="Data type in the source system") + target_type: str = Field(description="Data type in the target system") + severity: str = Field(description="One of: critical, warning, info") + description: str = Field(description="Human-readable description of the mismatch") + suggested_action: str = Field(description="Recommended action to resolve the mismatch") + migration_query: str = Field(description="Provide migration query to resolve the mismatch") + + +class SchemaCompareResult(BaseModel): + """Structured output from schema comparison.""" + + compatible: bool = Field(description="Whether the schemas are compatible for data loading") + mismatches: list[SchemaMismatch] = Field(default_factory=list) + summary: str = Field(description="High-level summary of the comparison") + + +class LLMSchemaCompareOperator(LLMOperator): Review Comment: 1. An eg: files are in s3, and data is loading to the postgres table, so in this case DataFusion uses s3 object store to read schema and DBApiHook to read schema from postgres. Ideally this combination of CloudStorage and DB. 2. Removed not required :) -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
