pages/OllamaHistory.py

import sys, os

BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
UTILS_DIR = os.path.join(BASE_DIR, "utils")

if UTILS_DIR not in sys.path:
    sys.path.insert(0, UTILS_DIR)

import streamlit as st
import sys, os, json, glob, hashlib

# ─── Ensure utils/ is importable ──────────────────────────────
UTILS_PATH = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
if UTILS_PATH not in sys.path:
    sys.path.append(UTILS_PATH)

from utils.summarizer import summarize_text

st.title("🧠 Ollama Conversation History")
st.write("Ingest and digest local Ollama conversation blobs for analysis.")

# Init session state
if "ollama_history" not in st.session_state:
    st.session_state.ollama_history = []

# Default location (adjust if needed)
OLLAMA_HISTORY_DIR = os.path.expanduser("~/.ollama/history")

def load_conversations():
    conversations = []
    if not os.path.exists(OLLAMA_HISTORY_DIR):
        st.warning(f"No Ollama history found at {OLLAMA_HISTORY_DIR}")
        return []

    files = glob.glob(os.path.join(OLLAMA_HISTORY_DIR, "*.json"))
    for f in files:
        try:
            with open(f, "r", errors="ignore") as fh:
                data = json.load(fh)

            # Extract conversation summary
            convo_text = ""
            for msg in data.get("messages", []):
                role = msg.get("role", "unknown")
                content = msg.get("content", "")
                convo_text += f"{role.upper()}: {content}\n"

            sha1 = hashlib.sha1(convo_text.encode()).hexdigest()
            summary = summarize_text(convo_text)

            conversations.append({
                "file": os.path.basename(f),
                "sha1": sha1,
                "preview": convo_text[:500],
                "summary": summary,
            })
        except Exception as e:
            st.error(f"⚠️ Error reading {f}: {e}")

    return conversations

# UI
if st.button("📥 Load Ollama Conversations"):
    st.session_state.ollama_history = load_conversations()
    st.success(f"✅ Loaded {len(st.session_state.ollama_history)} conversations.")

if st.session_state.ollama_history:
    for c in st.session_state.ollama_history:
        st.subheader(f"💬 {c['file']} ({c['sha1'][:8]})")
        st.text_area("Preview", c["preview"], height=150)
        st.write("🧠 Summary:", c["summary"])