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import os
from pathlib import Path
from huggingface_hub import hf_hub_download
from langchain_community.vectorstores import FAISS
from langchain_google_genai import ChatGoogleGenerativeAI, GoogleGenerativeAIEmbeddings
from dotenv import load_dotenv
# Load API key
load_dotenv()
# Set up Hugging Face repo and files
REPO_ID = "Yas1n/CADomatic_vectorstore"
FILENAME_FAISS = "index.faiss"
FILENAME_PKL = "index.pkl"
# Download once (uses HF cache internally)
faiss_path = hf_hub_download(repo_id=REPO_ID, filename=FILENAME_FAISS)
pkl_path = hf_hub_download(repo_id=REPO_ID, filename=FILENAME_PKL)
# Use same folder for both files
download_dir = Path(faiss_path).parent
# Load vectorstore
embedding = GoogleGenerativeAIEmbeddings(model="models/embedding-001")
vectorstore = FAISS.load_local(str(download_dir), embeddings=embedding, allow_dangerous_deserialization=True)
retriever = vectorstore.as_retriever(search_kwargs={"k": 40})
# Gemini 2.5 Flash
llm = ChatGoogleGenerativeAI(model="gemini-2.5-flash", temperature=1.2)
def prompt_llm(user_prompt: str) -> str:
docs = retriever.invoke(user_prompt)
context = "\n\n".join(doc.page_content for doc in docs)
final_prompt = f"""
You are a helpful assistant that writes FreeCAD Python scripts from CAD instructions.
Use the following FreeCAD wiki documentation as context:
{context}
Instruction:
{user_prompt}
Respond with valid FreeCAD Python code only, no extra commentary.
"""
try:
response = llm.invoke(final_prompt)
return response.content
except Exception as e:
print("❌ Error generating FreeCAD code:", e)
return ""
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