scripts/load_documents.py

from pathlib import Path
from langchain_community.document_loaders import (
    PyPDFLoader,
    TextLoader,
    PythonLoader,
    NotebookLoader,
)
import pickle

DATA_DIR = Path("E:/courses/LangChain Project/main root/data/")
OUTPUT_DIR = Path("E:/courses/LangChain Project/main root/output/")
OUTPUT_PATH = OUTPUT_DIR / "all_docs.pkl"

# ✅ Create output folder if it doesn't exist
OUTPUT_DIR.mkdir(parents=True, exist_ok=True)

loaders = {
    ".pdf": PyPDFLoader,
    ".txt": lambda path: TextLoader(path, encoding="utf-8"),
    ".py": PythonLoader,
    ".ipynb": NotebookLoader,
}

documents = []
for file in DATA_DIR.rglob("*"):
    loader_class = loaders.get(file.suffix.lower())
    if loader_class:
        try:
            docs = loader_class(str(file)).load()
            documents.extend(docs)
            print(f"[✓] Loaded: {file.name}")
        except Exception as e:
            print(f"[!] Failed to load {file.name}: {e}")

with open(OUTPUT_PATH, "wb") as f:
    pickle.dump(documents, f)
print(f"📦 Saved {len(documents)} documents to {OUTPUT_PATH}")