app.py

import sys
import os
sys.path.append(os.path.dirname(os.path.abspath(__file__)))

import streamlit as st
import pandas as pd
from utils.load_data import load_logs
from utils.visualize import plot_usage
from utils.report import generate_pdf
from models.anomaly import detect_anomalies
from utils.amc import upcoming_amc_devices

st.set_page_config(page_title="LabOps Dashboard", layout="wide")
st.title("📊 Multi-Device LabOps Dashboard")

uploaded_files = st.file_uploader("Upload Device Logs (CSV)", accept_multiple_files=True)

if uploaded_files:
    df = load_logs(uploaded_files)

    st.subheader("📋 Uploaded Logs")
    st.dataframe(df.head())

    st.subheader("📈 Daily Usage Chart")
    st.pyplot(plot_usage(df))

    st.subheader("🚨 Detected Anomalies")
    try:
        anomalies = detect_anomalies(df)
        st.dataframe(anomalies)
    except Exception as e:
        st.error(f"Failed to compute anomalies: {e}")

    st.subheader("🛠 Upcoming AMC Devices")
    if "amc_expiry" in df.columns:
        try:
            amc_df = upcoming_amc_devices(df)
            st.dataframe(amc_df)
        except Exception as e:
            st.error(f"Failed to process AMC dates: {e}")
    else:
        st.info("Column `amc_expiry` not found in uploaded data.")

    if st.button("📄 Generate PDF Report"):
        try:
            generate_pdf(df)
            st.success("✅ PDF report generated and saved to /tmp/labops_report.pdf")
        except Exception as e:
            st.error(f"Failed to generate PDF: {e}")