"""Summary extractor example.
pre-requirements:
    1. install openai python sdk
    ```
        pip install openai
    ```
    2. set openai key and base
    ```
        export OPENAI_API_KEY={your_openai_key}
        export OPENAI_API_BASE={your_openai_base}
    ```
    or
    ```
        import os
        os.environ["OPENAI_API_KEY"] = {your_openai_key}
        os.environ["OPENAI_API_BASE"] = {your_openai_base}
    ```
Examples:
    ..code-block:: shell
        python examples/rag/summary_extractor_example.py
"""

import asyncio
import os

from dbgpt.configs.model_config import ROOT_PATH
from dbgpt.model.proxy import OpenAILLMClient
from dbgpt_ext.rag import ChunkParameters
from dbgpt_ext.rag.assembler import SummaryAssembler
from dbgpt_ext.rag.knowledge import KnowledgeFactory


async def main():
    file_path = os.path.join(ROOT_PATH, "docs/docs/awel/awel.md")
    llm_client = OpenAILLMClient()
    knowledge = KnowledgeFactory.from_file_path(file_path)
    chunk_parameters = ChunkParameters(chunk_strategy="CHUNK_BY_SIZE")
    assembler = SummaryAssembler.load_from_knowledge(
        knowledge=knowledge,
        chunk_parameters=chunk_parameters,
        llm_client=llm_client,
        model_name="gpt-3.5-turbo",
    )
    return await assembler.generate_summary()


if __name__ == "__main__":
    output = asyncio.run(main())
    print(f"output: \n\n{output}")