Heimgeist/backend/main.py

from fastapi import FastAPI, Depends, HTTPException
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import StreamingResponse
from sqlalchemy.orm import Session
from typing import List
import re # Import the regex module
import html # Import the html module for unescaping
from . import models, schemas
from .database import Base, engine, SessionLocal
from .ollama_client import list_models as ollama_list, chat as ollama_chat, chat_stream as ollama_chat_stream

# Create tables
Base.metadata.create_all(bind=engine)

app = FastAPI(title="LLM Desktop Backend", version="0.1.0" )

# CORS (dev-friendly; tighten later)
app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)

def get_db():
    db = SessionLocal()
    try:
        yield db
    finally:
        db.close()

@app.get("/health")
def health():
    return {"ok": True}

@app.get("/models")
async def get_models():
    try:
        data = await ollama_list()
        return {"models": [{"name": n} for n in data.get("models", [])]}
    except Exception as e:
        raise HTTPException(status_code=502, detail=f"Ollama not available: {e}")

@app.get("/sessions", response_model=schemas.SessionsResponse)
def get_sessions(db: Session = Depends(get_db)):
    sessions = db.query(models.ChatSession).order_by(models.ChatSession.created_at.desc()).all()
    return {"sessions": sessions}

@app.post("/sessions", response_model=schemas.ChatSession)
def create_session(req: schemas.CreateSessionRequest, db: Session = Depends(get_db)):
    new_session = models.ChatSession(session_id=req.session_id)
    db.add(new_session)
    db.commit()
    db.refresh(new_session)
    return new_session

@app.get("/history", response_model=schemas.HistoryResponse)
def history(session_id: str, db: Session = Depends(get_db)):
    session = db.query(models.ChatSession).filter(models.ChatSession.session_id == session_id).first()
    if not session:
        return {"messages": []}
    rows = db.query(models.ChatMessage)             .filter(models.ChatMessage.session_pk == session.id)             .order_by(models.ChatMessage.created_at.asc())             .all()
    msgs = [{"role": r.role, "content": r.content} for r in rows]
    return {"messages": msgs}

@app.post("/chat")
async def chat(req: schemas.ChatRequest, db: Session = Depends(get_db)):
    # Find or create session
    session = db.query(models.ChatSession).filter(models.ChatSession.session_id == req.session_id).first()
    if not session:
        session = models.ChatSession(session_id=req.session_id)
        db.add(session)
        db.commit()
        db.refresh(session)

    # Save user message
    user_row = models.ChatMessage(session_pk=session.id, role='user', content=req.message)
    db.add(user_row)
    db.commit()

    # Build minimal conversation context (last 20 messages)
    last_msgs = db.query(models.ChatMessage)        .filter(models.ChatMessage.session_pk == session.id)        .order_by(models.ChatMessage.created_at.asc())        .all()[-20:]

    messages = [{"role": m.role, "content": m.content} for m in last_msgs]

    if req.stream:
        async def stream_generator():
            full_reply = ""
            try:
                async for chunk in ollama_chat_stream(req.model, messages):
                    full_reply += chunk
                    yield chunk
            except Exception as e:
                # How to handle errors in a stream? Could yield an error message.
                yield f"Ollama error: {e}"

            # Save full reply after stream is complete
            as_row = models.ChatMessage(session_pk=session.id, role='assistant', content=full_reply)
            db.add(as_row)
            db.commit()
        
        return StreamingResponse(stream_generator(), media_type="text/plain")
    else:
        try:
            reply = await ollama_chat(req.model, messages)
        except Exception as e:
            raise HTTPException(status_code=502, detail=f"Ollama error: {e}")

        # Save assistant reply
        as_row = models.ChatMessage(session_pk=session.id, role='assistant', content=reply)
        db.add(as_row)
        db.commit()

        return {"reply": reply}

@app.post("/generate-title", response_model=schemas.GenerateTitleResponse)
async def generate_title(req: schemas.GenerateTitleRequest, db: Session = Depends(get_db)):
    session = db.query(models.ChatSession).filter(models.ChatSession.session_id == req.session_id).first()
    if not session:
        raise HTTPException(status_code=404, detail="Session not found")

    prompt = f"Generate a very short, concise title (5 words or less) for a chat conversation that begins with this user message: \"{req.message}\". Do not use quotation marks in the title."
    
    try:
        title = await ollama_chat(req.model, [{"role": "user", "content": prompt}])
    except Exception as e:
        raise HTTPException(status_code=502, detail=f"Ollama error: {e}")

    print(f"Original title from LLM: {title}") # Debugging line to see the raw title

    # HTML unescape the title first to handle encoded tags
    unescaped_title = html.unescape(title)
    print(f"Unescaped title: {unescaped_title}") # Debugging line to see the unescaped title

    # Remove <think> blocks from the unescaped title
    # Use re.IGNORECASE to handle potential variations in casing (e.g., <Think>)
    cleaned_title = re.sub(r'<think>.*?</think>', '', unescaped_title, flags=re.DOTALL | re.IGNORECASE)
    
    print(f"Cleaned title before saving: {cleaned_title.strip()}") # Debugging line to see the cleaned title

    session.name = cleaned_title.strip() # Use .strip() to remove any leading/trailing whitespace after removal
    db.commit()

    return {"title": cleaned_title.strip()}

@app.delete("/sessions/{session_id}")
def delete_session(session_id: str, db: Session = Depends(get_db)):
    session = db.query(models.ChatSession).filter(models.ChatSession.session_id == session_id).first()
    if not session:
        raise HTTPException(status_code=404, detail="Session not found")

    # Delete associated messages
    db.query(models.ChatMessage).filter(models.ChatMessage.session_pk == session.id).delete()
    
    db.delete(session)
    db.commit()
    return {"ok": True}

@app.put("/sessions/{session_id}/rename")
def rename_session(session_id: str, req: schemas.GenerateTitleResponse, db: Session = Depends(get_db)):
    session = db.query(models.ChatSession).filter(models.ChatSession.session_id == session_id).first()
    if not session:
        raise HTTPException(status_code=404, detail="Session not found")

    session.name = req.title
    db.commit()
    return {"ok": True}

@app.put("/sessions/{session_id}/messages/{index}")
def update_user_message(session_id: str, index: int, req: schemas.EditMessageRequest, db: Session = Depends(get_db)):
    session = db.query(models.ChatSession).filter(models.ChatSession.session_id == session_id).first()
    if not session:
        raise HTTPException(status_code=404, detail="Session not found")

    msgs = (
        db.query(models.ChatMessage)
        .filter(models.ChatMessage.session_pk == session.id)
        .order_by(models.ChatMessage.created_at.asc())
        .all()
    )

    if index < 0 or index >= len(msgs):
        raise HTTPException(status_code=404, detail="Message index out of range")

    # Only user messages can be edited per spec
    if msgs[index].role != "user":
        raise HTTPException(status_code=400, detail="Only user messages can be edited")

    # Update the content
    msgs[index].content = req.message

    # Drop everything after the edited message
    for m in msgs[index + 1:]:
        db.delete(m)

    db.commit()
    return {"ok": True}

# ADD or REPLACE this whole function
@app.post("/sessions/{session_id}/regenerate")
async def regenerate(session_id: str, req: schemas.RegenerateRequest, db: Session = Depends(get_db)):
    """
    Regenerate an assistant response for the conversation state at/before req.index.
    If req.index points at an assistant message, we regenerate from the preceding user message.
    """
    idx = req.index
    model = req.model
    stream = bool(req.stream)

    session = db.query(models.ChatSession).filter(models.ChatSession.session_id == session_id).first()
    if not session:
        raise HTTPException(status_code=404, detail="Session not found")

    msgs = (
        db.query(models.ChatMessage)
        .filter(models.ChatMessage.session_pk == session.id)
        .order_by(models.ChatMessage.created_at.asc())
        .all()
    )

    if idx < 0 or idx >= len(msgs):
        raise HTTPException(status_code=400, detail="Invalid message index")

    # Find the last user message at/before idx
    last_user_idx = idx
    for i in range(idx, -1, -1):
        if msgs[i].role == "user":
            last_user_idx = i
            break

    # Prune everything after last_user_idx
    if last_user_idx < len(msgs) - 1:
        for m in msgs[last_user_idx + 1:]:
            db.delete(m)
        db.commit()

    # Build the conversation up to & incl. the last user message
    conversation = [{"role": m.role, "content": m.content} for m in msgs[: last_user_idx + 1]]

    # Avoid DetachedInstanceError during streaming
    session_pk = session.id

    if stream:
        async def stream_generator():
            full_reply = ""
            try:
                # ollama_chat_stream must already exist in your codebase (used by /chat)
                async for chunk in ollama_chat_stream(model, conversation):
                    full_reply += chunk
                    yield chunk
            except Exception as e:
                yield f"Ollama error: {e}"
            # Persist with a fresh DB session (streaming context)
            try:
                db_sess = SessionLocal()
                db_sess.add(models.ChatMessage(session_pk=session_pk, role="assistant", content=full_reply))
                db_sess.commit()
            finally:
                try:
                    db_sess.close()
                except Exception:
                    pass

        return StreamingResponse(stream_generator(), media_type="text/plain")

    # Non-streaming
    try:
        # ollama_chat must already exist in your codebase (used by /chat)
        reply = await ollama_chat(model, conversation)
    except Exception as e:
        raise HTTPException(status_code=502, detail=f"Ollama error: {e}")

    db.add(models.ChatMessage(session_pk=session_pk, role="assistant", content=reply))
    db.commit()
    return {"reply": reply}


# To run standalone: python -m uvicorn backend.main:app --host 127.0.0.1 --port 8000