updates people updates
This commit is contained in:
@@ -17,3 +17,5 @@ run_speedtest.py
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uv.lock
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.dockerignore
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.python-version
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speedtest.db
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Dockerfile
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292
app.py
292
app.py
@@ -1,166 +1,148 @@
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#!/usr/bin/env python3
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"""
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Flask app to visualize a large SQLite database of speed tests.
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- Plots time series for down_90th and up_90th
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- Serves a lazily loaded table (server-side pagination)
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- Designed for ~1GB DB: efficient SQLite pragmas + timestamp cursor pagination
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Run:
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export DB_PATH="/path/to/your/speedtests.sqlite3"
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python3 app.py
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Then open http://127.0.0.1:5000
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Optional: create an index (speeds up range scans by timestamp):
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sqlite3 "$DB_PATH" "CREATE INDEX IF NOT EXISTS idx_speed_tests_ts ON speed_tests(timestamp);"
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"""
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from __future__ import annotations
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import os
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import math
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import sqlite3
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import time
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from datetime import datetime
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import pytz
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from flask import Flask, render_template, request, jsonify
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from flask_sqlalchemy import SQLAlchemy
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from sqlalchemy import text
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from flask import Flask, jsonify, request, render_template
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from config import SERIES_MAX_POINTS_DEFAULT, DB_PATH, SERIES_MAX_POINTS_HARD, PAGE_SIZE_MAX, PAGE_SIZE_DEFAULT
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app = Flask(__name__)
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app = Flask(__name__, template_folder="templates")
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# connect to your existing database file
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# ensure the path is correct relative to where you run this script
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db_path = os.path.join(os.getcwd(), 'speedtest.db')
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app.config['SQLALCHEMY_DATABASE_URI'] = f'sqlite:///{db_path}'
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app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
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# ---------------------- SQLite Helpers ----------------------
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db = SQLAlchemy(app)
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def get_conn() -> sqlite3.Connection:
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uri = f"file:{os.path.abspath(DB_PATH)}?cache=shared"
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conn = sqlite3.connect(uri, uri=True, check_same_thread=False)
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conn.row_factory = sqlite3.Row
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conn.execute("PRAGMA journal_mode=WAL;")
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conn.execute("PRAGMA synchronous=NORMAL;")
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conn.execute("PRAGMA temp_store=MEMORY;")
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conn.execute("PRAGMA cache_size=-20000;") # ~20MB cache
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return conn
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# Reflect the existing table explicitly to match your schema
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class SpeedTest(db.Model):
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__tablename__ = 'speed_tests'
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id = db.Column(db.Integer, primary_key=True)
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timestamp = db.Column(db.Float, nullable=False)
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failed = db.Column(db.Boolean, nullable=False)
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isp = db.Column(db.String)
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ip = db.Column(db.String)
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location_code = db.Column(db.String)
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location_city = db.Column(db.String)
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location_region = db.Column(db.String)
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latency = db.Column(db.Float)
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jitter = db.Column(db.Float)
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down_100kB = db.Column(db.Float)
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down_1MB = db.Column(db.Float)
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down_10MB = db.Column(db.Float)
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down_25MB = db.Column(db.Float)
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down_90th = db.Column(db.Float) # We will graph this
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up_100kB = db.Column(db.Float)
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up_1MB = db.Column(db.Float)
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up_10MB = db.Column(db.Float)
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up_90th = db.Column(db.Float) # We will graph this
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CONN = get_conn()
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# ---------------------- Utilities ----------------------
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def ts_to_iso(ts: float | int | str) -> str:
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try:
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t = float(ts)
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except Exception:
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return str(ts)
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return datetime.fromtimestamp(t, tz=pytz.timezone("Europe/Berlin")).isoformat()
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# ---------------------- API Endpoints ----------------------
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@app.get("/api/series")
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def api_series():
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q_from = request.args.get("from", type=float)
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q_to = request.args.get("to", type=float)
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max_points = request.args.get("max_points", type=int) or SERIES_MAX_POINTS_DEFAULT
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max_points = max(1, min(max_points, SERIES_MAX_POINTS_HARD))
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params = []
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where = []
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if q_from is not None:
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where.append("timestamp >= ?")
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params.append(q_from)
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if q_to is not None:
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where.append("timestamp <= ?")
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params.append(q_to)
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where_sql = ("WHERE " + " AND ".join(where)) if where else ""
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cnt_sql = f"SELECT COUNT(*) AS n FROM speed_tests {where_sql};"
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n_rows = CONN.execute(cnt_sql, params).fetchone()[0]
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stride = 1 if n_rows <= max_points else math.ceil(n_rows / max_points)
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sql = (
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f"SELECT timestamp, down_90th, up_90th FROM speed_tests {where_sql} "
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"ORDER BY timestamp ASC;"
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)
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rows = []
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kept = 0
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for i, r in enumerate(CONN.execute(sql, params)):
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if (i % stride) == 0:
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rows.append({
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"t": float(r["timestamp"]),
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"t_iso": ts_to_iso(r["timestamp"]),
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"down_90th": None if r["down_90th"] is None else float(r["down_90th"]),
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"up_90th": None if r["up_90th"] is None else float(r["up_90th"]),
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})
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kept += 1
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if kept >= max_points:
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break
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return jsonify({
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"count_total": n_rows,
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"stride": stride,
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"returned": len(rows),
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"points": rows,
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})
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@app.get("/api/table")
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def api_table():
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limit = request.args.get("limit", type=int) or PAGE_SIZE_DEFAULT
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limit = max(1, min(limit, PAGE_SIZE_MAX))
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order = request.args.get("order", default="desc")
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order = "ASC" if str(order).lower().startswith("asc") else "DESC"
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cursor = request.args.get("cursor", type=float)
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params = []
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where = []
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if cursor is not None:
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if order == "ASC":
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where.append("timestamp > ?")
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else:
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where.append("timestamp < ?")
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params.append(cursor)
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where_sql = ("WHERE " + " AND ".join(where)) if where else ""
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sql = (
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"SELECT id, timestamp, failed, isp, ip, location_code, location_city, location_region, "
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"latency, jitter, down_100kB, down_1MB, down_10MB, down_25MB, down_90th, "
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"up_100kB, up_1MB, up_10MB, up_90th "
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f"FROM speed_tests {where_sql} ORDER BY timestamp {order} LIMIT ?;"
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)
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params2 = params + [limit]
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rows = [dict(r) for r in CONN.execute(sql, params2).fetchall()]
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next_cursor = None
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if rows:
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last_ts = rows[-1]["timestamp"]
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try:
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next_cursor = float(last_ts)
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except Exception:
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next_cursor = last_ts
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for r in rows:
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r["timestamp_iso"] = ts_to_iso(r["timestamp"])
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return jsonify({
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"limit": limit,
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"order": order.lower(),
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"count": len(rows),
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"next_cursor": next_cursor,
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"rows": rows,
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})
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@app.get("/")
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@app.route('/')
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def index():
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return render_template(
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"index.html",
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db_name=os.path.basename(DB_PATH),
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SERIES_MAX_POINTS_DEFAULT=SERIES_MAX_POINTS_DEFAULT,
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SERIES_MAX_POINTS_HARD=SERIES_MAX_POINTS_HARD,
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PAGE_SIZE_DEFAULT=PAGE_SIZE_DEFAULT,
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PAGE_SIZE_MAX=PAGE_SIZE_MAX,
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)
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return render_template('index.html')
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@app.route('/api/hourly_stats')
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def get_hourly_stats():
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# We use raw SQL for efficiency and to easily extract the hour from the timestamp
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# strftime('%H') works on the unix timestamp if we convert it first
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# SQLite: strftime('%H', datetime(timestamp, 'unixepoch'))
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if __name__ == "__main__":
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port = int(os.environ.get("PORT", 5000))
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app.run(host="0.0.0.0", port=port)
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sql = text("""
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SELECT
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strftime('%H', datetime(timestamp, 'unixepoch', 'localtime')) as hour,
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AVG(down_90th) as avg_down,
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AVG(up_90th) as avg_up,
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COUNT(*) as count
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FROM speed_tests
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WHERE failed = 0
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GROUP BY hour
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ORDER BY hour ASC
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""")
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result = db.session.execute(sql)
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data = []
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for row in result:
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data.append({
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'hour': row[0], # 00, 01, ... 23
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'down': row[1],
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'up': row[2],
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'count': row[3]
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})
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return jsonify(data)
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@app.route('/api/data')
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def get_data():
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# Get start/end dates from query params (defaults to last 24h if missing)
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start_str = request.args.get('start')
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end_str = request.args.get('end')
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# Default to last 7 days if no filter provided
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now = time.time()
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if start_str and end_str:
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# Convert string 'YYYY-MM-DD' to unix timestamp
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start_ts = datetime.strptime(start_str, '%Y-%m-%d').timestamp()
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end_ts = datetime.strptime(end_str, '%Y-%m-%d').timestamp() + 86400 # Include the full end day
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else:
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start_ts = now - (7 * 24 * 60 * 60)
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end_ts = now
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# Query the database
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query = SpeedTest.query.filter(
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SpeedTest.timestamp >= start_ts,
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SpeedTest.timestamp <= end_ts
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).order_by(SpeedTest.timestamp.asc())
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results = query.all()
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# Process data for JSON response
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data = []
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total_tests = 0
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failed_tests = 0
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total_down = 0
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total_up = 0
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count_valid_speed = 0
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for r in results:
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total_tests += 1
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if r.failed:
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failed_tests += 1
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# Format timestamp for JS (milliseconds)
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ts_ms = r.timestamp * 1000
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# Only include successful speeds in averages
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if not r.failed and r.down_90th is not None and r.up_90th is not None:
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total_down += r.down_90th
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total_up += r.up_90th
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count_valid_speed += 1
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data.append({
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'timestamp': ts_ms,
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'readable_date': datetime.fromtimestamp(r.timestamp).strftime('%Y-%m-%d %H:%M'),
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'down': r.down_90th,
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'up': r.up_90th,
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'failed': r.failed,
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'latency': r.latency,
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'isp': r.isp
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})
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# Calculate Averages and Uptime
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uptime_pct = ((total_tests - failed_tests) / total_tests * 100) if total_tests > 0 else 0
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avg_down = (total_down / count_valid_speed) if count_valid_speed > 0 else 0
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avg_up = (total_up / count_valid_speed) if count_valid_speed > 0 else 0
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return jsonify({
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'rows': data,
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'stats': {
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'uptime': round(uptime_pct, 2),
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'avg_down': round(avg_down, 2),
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'avg_up': round(avg_up, 2),
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'total_tests': total_tests
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}
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})
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if __name__ == '__main__':
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app.run(debug=True)
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@@ -7,6 +7,7 @@ requires-python = ">=3.13"
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dependencies = [
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"cloudflarepycli",
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"flask>=3.1.0",
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"flask-sqlalchemy>=3.1.1",
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"getmac>=0.9.5",
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"gunicorn>=23.0.0",
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"pandas>=2.2.3",
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@@ -1,171 +1,232 @@
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<!doctype html>
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="utf-8" />
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<meta name="viewport" content="width=device-width, initial-scale=1" />
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<title>Speed Tests</title>
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<style>
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body { font-family: system-ui, -apple-system, Segoe UI, Roboto, Ubuntu, Cantarell, 'Helvetica Neue', Arial, 'Noto Sans', 'Liberation Sans', sans-serif; margin: 0; background: #0b0b10; color: #e8e8f0; }
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header { padding: 1rem 1.25rem; position: sticky; top: 0; background: #0b0b10; border-bottom: 1px solid #23232b; z-index: 2; }
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.wrap { max-width: 1200px; margin: 0 auto; padding: 1rem; }
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.card { background: #12121a; border: 1px solid #23232b; border-radius: 16px; padding: 1rem; box-shadow: 0 4px 16px rgba(0,0,0,.25); }
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h1 { font-size: 1.25rem; margin: 0; }
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#chart { height: 420px; }
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table { width: 100%; border-collapse: collapse; font-size: 0.95rem; }
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th, td { padding: 8px 10px; border-bottom: 1px solid #23232b; white-space: nowrap; }
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thead th { position: sticky; top: 0; background: #12121a; z-index: 1; }
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tr:hover td { background: #171723; }
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.muted { color: #a0a0b8; font-size: 0.9rem; }
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.controls { display: flex; gap: .5rem; align-items: center; flex-wrap: wrap; margin-bottom: .5rem; }
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input, select, button { background: #0b0b10; color: #e8e8f0; border: 1px solid #23232b; border-radius: 10px; padding: .4rem .6rem; }
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button { cursor: pointer; }
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#sentinel { height: 24px; }
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.badge { display:inline-block; padding:.15rem .5rem; border-radius: 999px; background:#1e293b; color:#d1e7ff; font-size: .75rem; margin-left: .5rem; }
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</style>
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<script src="https://cdn.plot.ly/plotly-2.35.2.min.js" defer></script>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Speed Test Dashboard</title>
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<script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
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<script src="https://cdn.jsdelivr.net/npm/chartjs-adapter-date-fns"></script>
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<style>
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body { font-family: sans-serif; padding: 20px; background: #f4f4f9; }
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.controls { background: white; padding: 15px; border-radius: 8px; margin-bottom: 20px; display: flex; gap: 10px; align-items: center;}
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.cards { display: grid; grid-template-columns: repeat(3, 1fr); gap: 20px; margin-bottom: 20px; }
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.card { background: white; padding: 20px; border-radius: 8px; text-align: center; box-shadow: 0 2px 4px rgba(0,0,0,0.1); }
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.card h3 { margin: 0 0 10px 0; color: #666; font-size: 0.9em; text-transform: uppercase; }
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.card .value { font-size: 1.8em; font-weight: bold; color: #333; }
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.chart-container { background: white; padding: 20px; border-radius: 8px; margin-bottom: 20px; height: 400px; }
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table { width: 100%; border-collapse: collapse; background: white; border-radius: 8px; overflow: hidden; }
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th, td { padding: 12px; text-align: left; border-bottom: 1px solid #eee; }
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th { background: #007bff; color: white; }
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.failed-row { background-color: #ffe6e6; color: #b30000; }
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</style>
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</head>
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<body>
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<header>
|
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<div class="wrap">
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<h1>Speed Tests <span class="badge">DB: {{ db_name }}</span></h1>
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<div class="muted">down_90th vs up_90th · lazy table below</div>
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<div class="controls">
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<label>From: <input type="date" id="startDate"></label>
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<label>To: <input type="date" id="endDate"></label>
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<button onclick="fetchData()">Update Dashboard</button>
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</div>
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</header>
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<main class="wrap" style="display:grid; gap: 1rem;">
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<section class="card">
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||||
<div class="controls">
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<label>Max points <input id="maxPoints" type="number" value="{{ SERIES_MAX_POINTS_DEFAULT }}" min="0" max="{{ SERIES_MAX_POINTS_HARD }}" step="200"></label>
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<button id="reloadSeries">Reload series</button>
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<span class="muted" id="seriesMeta"></span>
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</div>
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<div id="chart"></div>
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</section>
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<div class="cards">
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<div class="card">
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<h3>Uptime</h3>
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<div class="value" id="uptimeVal">--%</div>
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</div>
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<div class="card">
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<h3>Avg Download</h3>
|
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<div class="value" id="avgDownVal">-- Mbps</div>
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</div>
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||||
<div class="card">
|
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<h3>Avg Upload</h3>
|
||||
<div class="value" id="avgUpVal">-- Mbps</div>
|
||||
</div>
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||||
</div>
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||||
|
||||
<section class="card">
|
||||
<div class="controls">
|
||||
<strong>Table</strong>
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||||
<label>Page size <input id="pageSize" type="number" value="{{ PAGE_SIZE_DEFAULT }}" min="10" max="{{ PAGE_SIZE_MAX }}" step="50"></label>
|
||||
<select id="orderSel">
|
||||
<option value="desc" selected>Newest first</option>
|
||||
<option value="asc">Oldest first</option>
|
||||
</select>
|
||||
<button id="resetTable">Reset</button>
|
||||
<span class="muted" id="tableMeta"></span>
|
||||
</div>
|
||||
<div style="overflow:auto; max-height: 420px; border:1px solid #23232b; border-radius: 12px;">
|
||||
<table id="tbl">
|
||||
<thead><tr>
|
||||
<th>timestamp</th>
|
||||
<th>down_90th</th>
|
||||
<th>up_90th</th>
|
||||
<th>latency</th>
|
||||
<th>jitter</th>
|
||||
<th>failed</th>
|
||||
<th>isp</th>
|
||||
<th>ip</th>
|
||||
<th>location</th>
|
||||
</tr></thead>
|
||||
<tbody></tbody>
|
||||
</table>
|
||||
</div>
|
||||
<div id="sentinel"></div>
|
||||
</section>
|
||||
</main>
|
||||
<div class="chart-container">
|
||||
<canvas id="speedChart"></canvas>
|
||||
</div>
|
||||
|
||||
<script>
|
||||
async function loadSeries() {
|
||||
const maxPoints = Math.max(1, Math.min({{ SERIES_MAX_POINTS_HARD }}, Number(document.getElementById('maxPoints').value||{{ SERIES_MAX_POINTS_DEFAULT }})));
|
||||
const url = new URL('/api/series', window.location.origin);
|
||||
url.searchParams.set('max_points', maxPoints);
|
||||
const res = await fetch(url);
|
||||
const js = await res.json();
|
||||
<div class="chart-container" style="margin-top: 20px;">
|
||||
<h3>Average Speed by Hour of Day (0-24h)</h3>
|
||||
<canvas id="hourlyChart"></canvas>
|
||||
</div>
|
||||
|
||||
const t = js.points.map(p => new Date(p.t * 1000));
|
||||
const down = js.points.map(p => p.down_90th);
|
||||
const up = js.points.map(p => p.up_90th);
|
||||
<h3>Detailed Logs</h3>
|
||||
<table>
|
||||
<thead>
|
||||
<tr>
|
||||
<th>Time</th>
|
||||
<th>ISP</th>
|
||||
<th>Download (90th)</th>
|
||||
<th>Upload (90th)</th>
|
||||
<th>Latency</th>
|
||||
<th>Status</th>
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody id="tableBody">
|
||||
</tbody>
|
||||
</table>
|
||||
|
||||
const layout = {
|
||||
margin: {l: 50, r: 20, t: 10, b: 40},
|
||||
paper_bgcolor: '#12121a',
|
||||
plot_bgcolor: '#12121a',
|
||||
xaxis: {title: 'Time', gridcolor: '#23232b'},
|
||||
yaxis: {title: 'Mbit/s (approx)', gridcolor: '#23232b'},
|
||||
showlegend: true,
|
||||
legend: {orientation: 'h'}
|
||||
};
|
||||
<script>
|
||||
let chartInstance = null;
|
||||
|
||||
const traces = [
|
||||
{x: t, y: down, name: 'down_90th', mode: 'lines', type: 'scatter'},
|
||||
{x: t, y: up, name: 'up_90th', mode: 'lines', type: 'scatter'}
|
||||
];
|
||||
async function fetchData() {
|
||||
const start = document.getElementById('startDate').value;
|
||||
const end = document.getElementById('endDate').value;
|
||||
|
||||
Plotly.react('chart', traces, layout, {displayModeBar: true, responsive: true});
|
||||
document.getElementById('seriesMeta').textContent = `returned ${js.returned} / total ${js.count_total} (stride ${js.stride})`;
|
||||
}
|
||||
let url = '/api/data';
|
||||
if(start && end) {
|
||||
url += `?start=${start}&end=${end}`;
|
||||
}
|
||||
|
||||
document.getElementById('reloadSeries').addEventListener('click', loadSeries);
|
||||
window.addEventListener('load', loadSeries);
|
||||
const response = await fetch(url);
|
||||
const data = await response.json();
|
||||
|
||||
let nextCursor = null;
|
||||
let loading = false;
|
||||
updateStats(data.stats);
|
||||
updateChart(data.rows);
|
||||
updateTable(data.rows);
|
||||
}
|
||||
|
||||
function formatRow(r) {
|
||||
const loc = `${r.location_code||''} · ${r.location_city||''} · ${r.location_region||''}`;
|
||||
return `<tr>
|
||||
<td title="${r.timestamp}">${r.timestamp_iso}</td>
|
||||
<td>${r.down_90th ?? ''}</td>
|
||||
<td>${r.up_90th ?? ''}</td>
|
||||
<td>${r.latency ?? ''}</td>
|
||||
<td>${r.jitter ?? ''}</td>
|
||||
<td>${r.failed}</td>
|
||||
<td>${r.isp ?? ''}</td>
|
||||
<td style="max-width:220px; overflow:hidden; text-overflow:ellipsis;">${r.ip ?? ''}</td>
|
||||
<td>${loc}</td>
|
||||
</tr>`;
|
||||
}
|
||||
function updateStats(stats) {
|
||||
document.getElementById('uptimeVal').innerText = stats.uptime + '%';
|
||||
document.getElementById('avgDownVal').innerText = stats.avg_down + ' Mbps';
|
||||
document.getElementById('avgUpVal').innerText = stats.avg_up + ' Mbps';
|
||||
}
|
||||
|
||||
async function loadMore() {
|
||||
if (loading) return;
|
||||
loading = true;
|
||||
function updateTable(rows) {
|
||||
const tbody = document.getElementById('tableBody');
|
||||
tbody.innerHTML = '';
|
||||
|
||||
const limit = Math.max(10, Math.min({{ PAGE_SIZE_MAX }}, Number(document.getElementById('pageSize').value||{{ PAGE_SIZE_DEFAULT }})));
|
||||
const order = document.getElementById('orderSel').value;
|
||||
// Show last 50 rows for performance (reverse order)
|
||||
const recentRows = rows.slice().reverse().slice(0, 100);
|
||||
|
||||
const url = new URL('/api/table', window.location.origin);
|
||||
url.searchParams.set('limit', limit);
|
||||
url.searchParams.set('order', order);
|
||||
if (nextCursor !== null) url.searchParams.set('cursor', nextCursor);
|
||||
recentRows.forEach(row => {
|
||||
const tr = document.createElement('tr');
|
||||
if(row.failed) tr.classList.add('failed-row');
|
||||
|
||||
const res = await fetch(url);
|
||||
const js = await res.json();
|
||||
tr.innerHTML = `
|
||||
<td>${row.readable_date}</td>
|
||||
<td>${row.isp || 'N/A'}</td>
|
||||
<td>${row.down ? row.down.toFixed(2) : '-'}</td>
|
||||
<td>${row.up ? row.up.toFixed(2) : '-'}</td>
|
||||
<td>${row.latency ? row.latency.toFixed(2) + 'ms' : '-'}</td>
|
||||
<td>${row.failed ? 'FAILED' : 'OK'}</td>
|
||||
`;
|
||||
tbody.appendChild(tr);
|
||||
});
|
||||
}
|
||||
|
||||
const tbody = document.querySelector('#tbl tbody');
|
||||
tbody.insertAdjacentHTML('beforeend', js.rows.map(formatRow).join(''));
|
||||
function updateChart(rows) {
|
||||
const ctx = document.getElementById('speedChart').getContext('2d');
|
||||
|
||||
nextCursor = js.next_cursor;
|
||||
document.getElementById('tableMeta').textContent = `loaded ${js.count} rows · next cursor: ${nextCursor ?? '—'}`;
|
||||
// Prepare data for Chart.js
|
||||
const downData = rows.filter(r => !r.failed).map(r => ({x: r.timestamp, y: r.down}));
|
||||
const upData = rows.filter(r => !r.failed).map(r => ({x: r.timestamp, y: r.up}));
|
||||
|
||||
loading = false;
|
||||
}
|
||||
if (chartInstance) {
|
||||
chartInstance.destroy();
|
||||
}
|
||||
|
||||
function resetTable() {
|
||||
document.querySelector('#tbl tbody').innerHTML = '';
|
||||
nextCursor = null;
|
||||
loadMore();
|
||||
}
|
||||
chartInstance = new Chart(ctx, {
|
||||
type: 'line',
|
||||
data: {
|
||||
datasets: [
|
||||
{
|
||||
label: 'Download (90th)',
|
||||
data: downData,
|
||||
borderColor: '#007bff',
|
||||
tension: 0.1
|
||||
},
|
||||
{
|
||||
label: 'Upload (90th)',
|
||||
data: upData,
|
||||
borderColor: '#28a745',
|
||||
tension: 0.1
|
||||
}
|
||||
]
|
||||
},
|
||||
options: {
|
||||
responsive: true,
|
||||
maintainAspectRatio: false,
|
||||
scales: {
|
||||
x: {
|
||||
type: 'time',
|
||||
time: { unit: 'day' },
|
||||
title: { display: true, text: 'Date' }
|
||||
},
|
||||
y: {
|
||||
title: { display: true, text: 'Speed (Mbps)' },
|
||||
beginAtZero: true
|
||||
}
|
||||
}
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
document.getElementById('resetTable').addEventListener('click', resetTable);
|
||||
window.addEventListener('load', resetTable);
|
||||
// Set default dates (past 7 days) and load
|
||||
window.onload = function() {
|
||||
const today = new Date();
|
||||
const lastWeek = new Date();
|
||||
lastWeek.setDate(today.getDate() - 7);
|
||||
|
||||
const sentinel = document.getElementById('sentinel');
|
||||
const io = new IntersectionObserver((entries) => {
|
||||
entries.forEach(e => {
|
||||
if (e.isIntersecting) loadMore();
|
||||
});
|
||||
}, {root: null, rootMargin: '200px', threshold: 0});
|
||||
io.observe(sentinel);
|
||||
</script>
|
||||
document.getElementById('endDate').valueAsDate = today;
|
||||
document.getElementById('startDate').valueAsDate = lastWeek;
|
||||
|
||||
fetchData();
|
||||
fetchHourlyData();
|
||||
};
|
||||
|
||||
async function fetchHourlyData() {
|
||||
const response = await fetch('/api/hourly_stats');
|
||||
const data = await response.json();
|
||||
|
||||
const ctx = document.getElementById('hourlyChart').getContext('2d');
|
||||
|
||||
new Chart(ctx, {
|
||||
type: 'bar', // Bar chart is better for comparing buckets
|
||||
data: {
|
||||
labels: data.map(d => d.hour + ":00"),
|
||||
datasets: [
|
||||
{
|
||||
label: 'Avg Download (Mbps)',
|
||||
data: data.map(d => d.down),
|
||||
backgroundColor: 'rgba(0, 123, 255, 0.7)',
|
||||
},
|
||||
{
|
||||
label: 'Avg Upload (Mbps)',
|
||||
data: data.map(d => d.up),
|
||||
backgroundColor: 'rgba(40, 167, 69, 0.7)',
|
||||
}
|
||||
]
|
||||
},
|
||||
options: {
|
||||
responsive: true,
|
||||
maintainAspectRatio: false,
|
||||
scales: {
|
||||
y: { beginAtZero: true, title: { display: true, text: 'Mbps' } }
|
||||
},
|
||||
plugins: {
|
||||
annotation: {
|
||||
annotations: {
|
||||
box1: {
|
||||
// Highlight the 1pm - 11pm danger zone
|
||||
type: 'box',
|
||||
xMin: 13,
|
||||
xMax: 23,
|
||||
backgroundColor: 'rgba(255, 99, 132, 0.1)',
|
||||
borderWidth: 0,
|
||||
label: { content: 'Problem Area', enabled: true }
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
// Call this function in window.onload along with your existing fetchData()
|
||||
// window.onload = function() { ... fetchHourlyData(); ... }
|
||||
</script>
|
||||
</body>
|
||||
</html>
|
||||
|
||||
|
||||
93
uv.lock
generated
93
uv.lock
generated
@@ -107,6 +107,19 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/ec/f9/7f9263c5695f4bd0023734af91bedb2ff8209e8de6ead162f35d8dc762fd/flask-3.1.2-py3-none-any.whl", hash = "sha256:ca1d8112ec8a6158cc29ea4858963350011b5c846a414cdb7a954aa9e967d03c", size = 103308, upload-time = "2025-08-19T21:03:19.499Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "flask-sqlalchemy"
|
||||
version = "3.1.1"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "flask" },
|
||||
{ name = "sqlalchemy" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/91/53/b0a9fcc1b1297f51e68b69ed3b7c3c40d8c45be1391d77ae198712914392/flask_sqlalchemy-3.1.1.tar.gz", hash = "sha256:e4b68bb881802dda1a7d878b2fc84c06d1ee57fb40b874d3dc97dabfa36b8312", size = 81899, upload-time = "2023-09-11T21:42:36.147Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/1d/6a/89963a5c6ecf166e8be29e0d1bf6806051ee8fe6c82e232842e3aeac9204/flask_sqlalchemy-3.1.1-py3-none-any.whl", hash = "sha256:4ba4be7f419dc72f4efd8802d69974803c37259dd42f3913b0dcf75c9447e0a0", size = 25125, upload-time = "2023-09-11T21:42:34.514Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "getmac"
|
||||
version = "0.9.5"
|
||||
@@ -116,6 +129,40 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/18/85/4cdbc925381422397bd2b3280680e130091173f2c8dfafb9216eaaa91b00/getmac-0.9.5-py2.py3-none-any.whl", hash = "sha256:22b8a3e15bc0c6bfa94651a3f7f6cd91b59432e1d8199411d4fe12804423e0aa", size = 35781, upload-time = "2024-07-16T01:47:03.75Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "greenlet"
|
||||
version = "3.3.1"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/8a/99/1cd3411c56a410994669062bd73dd58270c00cc074cac15f385a1fd91f8a/greenlet-3.3.1.tar.gz", hash = "sha256:41848f3230b58c08bb43dee542e74a2a2e34d3c59dc3076cec9151aeeedcae98", size = 184690, upload-time = "2026-01-23T15:31:02.076Z" }
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||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/ec/ab/d26750f2b7242c2b90ea2ad71de70cfcd73a948a49513188a0fc0d6fc15a/greenlet-3.3.1-cp313-cp313-macosx_11_0_universal2.whl", hash = "sha256:7ab327905cabb0622adca5971e488064e35115430cec2c35a50fd36e72a315b3", size = 275205, upload-time = "2026-01-23T15:30:24.556Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/10/d3/be7d19e8fad7c5a78eeefb2d896a08cd4643e1e90c605c4be3b46264998f/greenlet-3.3.1-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:65be2f026ca6a176f88fb935ee23c18333ccea97048076aef4db1ef5bc0713ac", size = 599284, upload-time = "2026-01-23T16:00:58.584Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/ae/21/fe703aaa056fdb0f17e5afd4b5c80195bbdab701208918938bd15b00d39b/greenlet-3.3.1-cp313-cp313-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:7a3ae05b3d225b4155bda56b072ceb09d05e974bc74be6c3fc15463cf69f33fd", size = 610274, upload-time = "2026-01-23T16:05:29.312Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/06/00/95df0b6a935103c0452dad2203f5be8377e551b8466a29650c4c5a5af6cc/greenlet-3.3.1-cp313-cp313-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:12184c61e5d64268a160226fb4818af4df02cfead8379d7f8b99a56c3a54ff3e", size = 624375, upload-time = "2026-01-23T16:15:55.915Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/cb/86/5c6ab23bb3c28c21ed6bebad006515cfe08b04613eb105ca0041fecca852/greenlet-3.3.1-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:6423481193bbbe871313de5fd06a082f2649e7ce6e08015d2a76c1e9186ca5b3", size = 612904, upload-time = "2026-01-23T15:32:52.317Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/c2/f3/7949994264e22639e40718c2daf6f6df5169bf48fb038c008a489ec53a50/greenlet-3.3.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:33a956fe78bbbda82bfc95e128d61129b32d66bcf0a20a1f0c08aa4839ffa951", size = 1567316, upload-time = "2026-01-23T16:04:23.316Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/8d/6e/d73c94d13b6465e9f7cd6231c68abde838bb22408596c05d9059830b7872/greenlet-3.3.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:4b065d3284be43728dd280f6f9a13990b56470b81be20375a207cdc814a983f2", size = 1636549, upload-time = "2026-01-23T15:33:48.643Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/5e/b3/c9c23a6478b3bcc91f979ce4ca50879e4d0b2bd7b9a53d8ecded719b92e2/greenlet-3.3.1-cp313-cp313-win_amd64.whl", hash = "sha256:27289986f4e5b0edec7b5a91063c109f0276abb09a7e9bdab08437525977c946", size = 227042, upload-time = "2026-01-23T15:33:58.216Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/90/e7/824beda656097edee36ab15809fd063447b200cc03a7f6a24c34d520bc88/greenlet-3.3.1-cp313-cp313-win_arm64.whl", hash = "sha256:2f080e028001c5273e0b42690eaf359aeef9cb1389da0f171ea51a5dc3c7608d", size = 226294, upload-time = "2026-01-23T15:30:52.73Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/ae/fb/011c7c717213182caf78084a9bea51c8590b0afda98001f69d9f853a495b/greenlet-3.3.1-cp314-cp314-macosx_11_0_universal2.whl", hash = "sha256:bd59acd8529b372775cd0fcbc5f420ae20681c5b045ce25bd453ed8455ab99b5", size = 275737, upload-time = "2026-01-23T15:32:16.889Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/41/2e/a3a417d620363fdbb08a48b1dd582956a46a61bf8fd27ee8164f9dfe87c2/greenlet-3.3.1-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b31c05dd84ef6871dd47120386aed35323c944d86c3d91a17c4b8d23df62f15b", size = 646422, upload-time = "2026-01-23T16:01:00.354Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/b4/09/c6c4a0db47defafd2d6bab8ddfe47ad19963b4e30f5bed84d75328059f8c/greenlet-3.3.1-cp314-cp314-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:02925a0bfffc41e542c70aa14c7eda3593e4d7e274bfcccca1827e6c0875902e", size = 658219, upload-time = "2026-01-23T16:05:30.956Z" },
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Reference in New Issue
Block a user