Create app.py

app.py

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+# Let's add an anomaly detection model stub and AMC reminder logic to the project structure
+
+import os
+import zipfile
+
+# Define updated file contents with anomaly detection + AMC logic
+updated_files = {
+    "LabOps_HuggingFace_Space/models/anomaly.py": """
+import pandas as pd
+import numpy as np
+
+def detect_anomalies(df, threshold=2.0):
+    df['timestamp'] = pd.to_datetime(df['timestamp'])
+    usage = df.groupby(df['timestamp'].dt.date).size()
+    mean = usage.mean()
+    std = usage.std()
+
+    anomalies = usage[abs(usage - mean) > threshold * std]
+    return anomalies.reset_index().rename(columns={0: 'log_count'})
+""",
+    "LabOps_HuggingFace_Space/utils/amc.py": """
+import pandas as pd
+from datetime import datetime, timedelta
+
+def upcoming_amc_devices(df, days_ahead=14):
+    df['amc_expiry'] = pd.to_datetime(df['amc_expiry'])
+    target_date = datetime.today() + timedelta(days=days_ahead)
+    upcoming = df[df['amc_expiry'] <= target_date]
+    return upcoming[['device_id', 'amc_expiry']]
+""",
+    "LabOps_HuggingFace_Space/app.py": """
+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")
+    anomalies = detect_anomalies(df)
+    st.dataframe(anomalies)
+
+    st.subheader("🛠 Upcoming AMC Devices")
+    if "amc_expiry" in df.columns:
+        amc_df = upcoming_amc_devices(df)
+        st.dataframe(amc_df)
+
+    if st.button("📄 Generate PDF Report"):
+        generate_pdf(df)
+        st.success("PDF report generated successfully.")
+"""
+}
+
+# Update the files
+for path, content in updated_files.items():
+    full_path = f"/mnt/data/{path}"
+    os.makedirs(os.path.dirname(full_path), exist_ok=True)
+    with open(full_path, "w") as f:
+        f.write(content.strip())
+
+# Rezip the full updated project
+zip_path_updated = "/mnt/data/LabOps_HuggingFace_Space_Updated.zip"
+with zipfile.ZipFile(zip_path_updated, 'w') as zipf:
+    for folder, _, filenames in os.walk("/mnt/data/LabOps_HuggingFace_Space"):
+        for filename in filenames:
+            full_path = os.path.join(folder, filename)
+            arcname = os.path.relpath(full_path, "/mnt/data/LabOps_HuggingFace_Space")
+            zipf.write(full_path, arcname)
+
+zip_path_updated