hugegraph-llm/src/hugegraph_llm/flows/build_example_index.py

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#  this work for additional information regarding copyright ownership.
#  The ASF licenses this file to You under the Apache License, Version 2.0
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#
#      http://www.apache.org/licenses/LICENSE-2.0
#
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import json
from typing import List, Dict, Optional

from PyCGraph import GPipeline

from hugegraph_llm.flows.common import BaseFlow
from hugegraph_llm.state.ai_state import WkFlowInput, WkFlowState
from hugegraph_llm.nodes.index_node.build_gremlin_example_index import (
    BuildGremlinExampleIndexNode,
)
from hugegraph_llm.utils.log import log


# pylint: disable=arguments-differ,keyword-arg-before-vararg
class BuildExampleIndexFlow(BaseFlow):
    def __init__(self):
        pass

    def prepare(
        self,
        prepared_input: WkFlowInput,
        examples: Optional[List[Dict[str, str]]],
        **kwargs,
    ):
        prepared_input.examples = examples

    def build_flow(self, examples=None, **kwargs):
        pipeline = GPipeline()
        prepared_input = WkFlowInput()
        self.prepare(prepared_input, examples=examples)

        pipeline.createGParam(prepared_input, "wkflow_input")
        pipeline.createGParam(WkFlowState(), "wkflow_state")

        build_node = BuildGremlinExampleIndexNode()
        pipeline.registerGElement(build_node, set(), "build_examples_index")

        return pipeline

    def post_deal(self, pipeline=None, **kwargs):
        state_json = pipeline.getGParamWithNoEmpty("wkflow_state").to_json()
        try:
            formatted_schema = json.dumps(state_json, ensure_ascii=False, indent=2)
            return formatted_schema
        except (TypeError, ValueError) as e:
            log.error("Failed to format schema: %s", e)
            return str(state_json)