app.py

import streamlit as st
import chromadb
import pandas as pd
import os

# Fetch environment variables (defaults to your provided HF Space)
CHROMA_HOST = os.getenv("CHROMA_HOST", "vish85521-chromadb.hf.space")
CHROMA_PORT = os.getenv("CHROMA_PORT", "443")
CHROMA_SSL = os.getenv("CHROMA_SSL", "True").lower() in ("true", "1", "t")

st.set_page_config(page_title="ChromaDB Monitor", page_icon="📊", layout="wide")
st.title("📊 ChromaDB Monitor")

@st.cache_resource
def get_chroma_client():
    return chromadb.HttpClient(
        host=CHROMA_HOST,
        port=CHROMA_PORT,
        ssl=CHROMA_SSL
    )

try:
    with st.spinner(f"Connecting to {CHROMA_HOST}..."):
        client = get_chroma_client()
        
        # Check heartbeats to ensure connection is alive
        tenant_heartbeat = client.heartbeat()
        st.success(f"Connected successfully! (Heartbeat: {tenant_heartbeat})")

    collections = client.list_collections()

    if not collections:
        st.warning("No collections found in this ChromaDB instance.")
    else:
        # Extract collection names for the dropdown
        collection_names = [c.name for c in collections]
        selected_collection = st.selectbox("Select a Collection to Monitor", collection_names)

        if selected_collection:
            col = client.get_collection(selected_collection)
            count = col.count()
            st.metric(label="Total Documents in Collection", value=count)

            if count > 0:
                st.subheader("Sample Data (Top 10 Rows)")
                # Peek grabs a small sample of the data without doing a similarity search
                results = col.peek(limit=10)

                # Flatten the ChromaDB output into a readable Pandas DataFrame
                if results and results.get("ids"):
                    df = pd.DataFrame({
                        "ID": results["ids"],
                        "Metadata": [str(m) for m in results["metadatas"]],
                        "Document": results["documents"]
                    })
                    st.dataframe(df, use_container_width=True)
                else:
                    st.info("Collection data cannot be peeked or is empty.")

except Exception as e:
    st.error(f"Failed to connect to ChromaDB.")
    st.error(f"Error Details: {e}")
    st.code(f"Host: {CHROMA_HOST}\nPort: {CHROMA_PORT}\nSSL: {CHROMA_SSL}")