import fitz
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain.docstore.document import Document

def get_processed_documents(pdf_path: str):
    source_docs = load_pdf_as_documents(pdf_path)

    text_splitter = RecursiveCharacterTextSplitter(
        chunk_size=500,
        chunk_overlap=50,
        add_start_index=True,
        strip_whitespace=True,
        separators=["\n\n", "\n", ".", " ", ""],
    )

    docs_processed = text_splitter.split_documents(source_docs)

    return docs_processed

def load_pdf_as_documents(pdf_path: str):
    doc = fitz.open(pdf_path)
    documents = []
    for i, page in enumerate(doc):
        text = page.get_text().strip()
        if text:
            documents.append(
                Document(
                    page_content=text,
                    metadata={"source": f"page_{i+1}"}
                )
            )
    return documents