.

.dockerignore

@@ -0,0 +1,19 @@
+__pycache__
+*.pyc
+*.pyo
+*.pyd
+.Python
+.env
+.venv
+.git
+.gitignore
+*.sqlite3
+*.db
+analysis.py
+db.py
+pyproject.toml
+README.md
+run_speedtest.py
+uv.lock
+.dockerignore
+.python-version

Dockerfile

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+# Use a lightweight Python base image
+FROM python:3.13-slim
+
+# Set environment variables to prevent Python from writing pyc files
+# and to flush stdout/stderr immediately (useful for docker logs)
+ENV PYTHONDONTWRITEBYTECODE=1
+ENV PYTHONUNBUFFERED=1
+
+# Set the working directory
+WORKDIR /app
+
+RUN apt-get update && \
+    apt-get install -y git && \
+    rm -rf /var/lib/apt/lists/*
+
+# Install dependencies first (for better caching)
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy the rest of the application code
+COPY . .
+
+# Create a directory for the database mount (optional but good for clarity)
+RUN mkdir -p /data
+
+# Default environment variable for the database path inside the container
+ENV DB_PATH="/data/speedtest.db"
+ENV PORT=5000
+
+# Expose the port the app runs on
+EXPOSE 5000
+
+# Run using Gunicorn
+# -b 0.0.0.0:5000: Bind to all interfaces on port 5000
+# --access-logfile -: Log access to stdout
+CMD ["gunicorn", "--workers", "1", "--bind", "0.0.0.0:5000", "--access-logfile", "-", "app:app"]

analysis.py

@@ -1,67 +0,0 @@
-import sqlite3
-import os
-from datetime import datetime
-import pytz
-import time
-
-from config import DB_PATH
-
-def get_conn() -> sqlite3.Connection:
-    uri = f"file:{os.path.abspath(DB_PATH)}?cache=shared"
-    conn = sqlite3.connect(uri, uri=True, check_same_thread=False)
-    conn.row_factory = sqlite3.Row
-    conn.execute("PRAGMA journal_mode=WAL;")
-    conn.execute("PRAGMA synchronous=NORMAL;")
-    conn.execute("PRAGMA temp_store=MEMORY;")
-    conn.execute("PRAGMA cache_size=-20000;")  # ~20MB cache
-    return conn
-
-CONN = get_conn()
-
-# ---------------------- Utilities ----------------------
-
-def ts_to_iso(ts: float | int | str) -> str:
-    try:
-        t = float(ts)
-    except Exception:
-        return str(ts)
-    return datetime.fromtimestamp(t, tz=pytz.timezone("Europe/Berlin")).isoformat()
-
-# ---------------------- API Endpoints ----------------------
-
-def api_series(q_from: float, q_to: float):
-    params = []
-    where = []
-    if q_from is not None:
-        where.append("timestamp >= ?")
-        params.append(q_from)
-    if q_to is not None:
-        where.append("timestamp <= ?")
-        params.append(q_to)
-    where_sql = ("WHERE " + " AND ".join(where)) if where else ""
-
-    sql = (
-        f"SELECT timestamp, down_90th, up_90th FROM speed_tests {where_sql} "
-        "ORDER BY timestamp ASC;"
-    )
-
-    rows = []
-    for i, r in enumerate(CONN.execute(sql, params)):
-        rows.append({
-            "t": float(r["timestamp"]),
-            "t_iso": ts_to_iso(r["timestamp"]),
-            "down_90th": None if r["down_90th"] is None else float(r["down_90th"]),
-            "up_90th": None if r["up_90th"] is None else float(r["up_90th"]),
-        })
-
-    return rows
-
-rows = api_series(1756220400, time.time())
-
-does_not_work = 0
-
-for r in rows:
-    if r["down_90th"] is None or r["up_90th"] is None:
-        does_not_work += 1
-
-print(f"Working percentage: {100 - (does_not_work / len(rows))*100}% ({does_not_work}/{len(rows)})")

requirements.txt

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+# This file was autogenerated by uv via the following command:
+#    uv export --format requirements-txt -o requirements.txt --no-hashes
+blinker==1.9.0
+    # via flask
+certifi==2025.11.12
+    # via requests
+charset-normalizer==3.4.4
+    # via requests
+click==8.3.1
+    # via flask
+cloudflarepycli @ git+https://github.com/cato447/cloudflarepycli@26477fb5511839648a774f1685426925b5b44311
+    # via speed-logger
+colorama==0.4.6 ; sys_platform == 'win32'
+    # via click
+flask==3.1.2
+    # via speed-logger
+getmac==0.9.5
+    # via speed-logger
+gunicorn==23.0.0
+    # via speed-logger
+idna==3.11
+    # via requests
+itsdangerous==2.2.0
+    # via flask
+jinja2==3.1.6
+    # via flask
+markupsafe==3.0.3
+    # via
+    #   flask
+    #   jinja2
+    #   werkzeug
+numpy==2.4.0
+    # via pandas
+packaging==25.0
+    # via gunicorn
+pandas==2.3.3
+    # via speed-logger
+prometheus-client==0.23.1
+    # via speed-logger
+python-dateutil==2.9.0.post0
+    # via pandas
+pytz==2025.2
+    # via
+    #   pandas
+    #   speed-logger
+requests==2.32.5
+    # via cloudflarepycli
+six==1.17.0
+    # via python-dateutil
+tzdata==2025.3
+    # via pandas
+urllib3==2.6.2
+    # via requests
+werkzeug==3.1.4
+    # via flask