simple network logging app

app.py

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+from flask import Flask, render_template
+import sqlite3
+import pandas as pd
+from config import DB_PATH
+from datetime import datetime
+
+app = Flask(__name__)
+
+def load_data():
+    # Connect to SQLite database
+    conn = sqlite3.connect(DB_PATH)
+    query = "SELECT * FROM speed_tests"
+    df = pd.read_sql(query, conn)
+    conn.close()
+    return df
+
+@app.route('/')
+def index():
+    df = load_data()
+
+
+
+    # Convert timestamps to human-readable format
+    df['datetime'] = pd.to_datetime(df['timestamp'], unit='s')
+    # Suppose your DataFrame is called `df`
+    df["timestamp"] = df["timestamp"].apply(lambda ts: datetime.fromtimestamp(ts).strftime("%Y-%m-%d %H:%M:%S"))
+
+    # Collect the data for charts
+    chart_data = {
+        "times": df['datetime'].dt.strftime('%Y-%m-%d %H:%M:%S').tolist(),
+        "down_90th": df['down_90th'].tolist(),
+        "up_90th": df['up_90th'].tolist()
+    }
+
+    return render_template('index.html', data=df.to_dict(orient='records'), chart_data=chart_data)
+
+if __name__ == '__main__':
+    app.run(debug=True)