import os

from transformers import AutoTokenizer
import sys

sys.path.append("../..")
from configs import (
    CHUNK_SIZE,
    OVERLAP_SIZE
)

from server.knowledge_base.utils import make_text_splitter

def text(splitter_name):
    from langchain import document_loaders

    # 使用DocumentLoader读取文件
    filepath = "../../knowledge_base/samples/content/test.txt"
    loader = document_loaders.UnstructuredFileLoader(filepath, autodetect_encoding=True)
    docs = loader.load()
    text_splitter = make_text_splitter(splitter_name, CHUNK_SIZE, OVERLAP_SIZE)
    if splitter_name == "MarkdownHeaderTextSplitter":
        docs = text_splitter.split_text(docs[0].page_content)
        for doc in docs:
            if doc.metadata:
                doc.metadata["source"] = os.path.basename(filepath)
    else:
        docs = text_splitter.split_documents(docs)
    for doc in docs:
        print(doc)
    return docs




import pytest
from langchain.docstore.document import Document

@pytest.mark.parametrize("splitter_name",
                         [
                             "ChineseRecursiveTextSplitter",
                             "SpacyTextSplitter",
                             "RecursiveCharacterTextSplitter",
                             "MarkdownHeaderTextSplitter"
                         ])
def test_different_splitter(splitter_name):
    try:
        docs = text(splitter_name)
        assert isinstance(docs, list)
        if len(docs)>0:
            assert isinstance(docs[0], Document)
    except Exception as e:
        pytest.fail(f"test_different_splitter failed with {splitter_name}, error: {str(e)}")