Extracted DB PATH

Author: Ilia Shcheglov

.env.dist

@@ -0,0 +1 @@
+DB_PATH=PATH

.gitignore

@@ -2,3 +2,4 @@ sensor_data.db
 co2_readings.csv
 __pycache__
 .DS_Store
+.env

README.md

@@ -62,6 +62,7 @@ graph TD
 ```bash
    git clone https://github.com/isheglov/co2-sensor-script.git
    cd co2-sensor-script
+   cp .env.dist .env
    ```
 
 2. **Set up your Python environment**:
@@ -74,7 +75,7 @@ source hid_env/bin/activate
 
 3. **Install the required packages**:
 ```bash
-pip install hidapi Flask pandas plotly
+pip install -r requirements.txt
 ```
 
 4. **Create the SQLite Database**: 
@@ -151,8 +152,8 @@ sudo systemctl restart myapp.service
 
 ### Web Pages:
 
-- index.html: Main dashboard for real-time data visualization.
-- current.html: Shows the latest sensor readings.
+- **/**: Main dashboard for real-time data visualization.
+- **/current**: Shows the latest sensor readings.
 
 ## License
 

automation/monitor.py

@@ -13,11 +13,16 @@
 # pylint: disable=import-error
 
 import time
+import os  # Standard import should be before third-party
 import sqlite3
 from RPi import GPIO
+from dotenv import load_dotenv
+
+load_dotenv()  # Load environment variables from .env file
+
 
 # Configuration
-DB_PATH = '../sensor_data.db'  # Path to your SQLite database
+DB_PATH = os.getenv('DB_PATH')  # Path to your SQLite database
 RELAY_PIN = 17  # GPIO pin connected to the relay (use the BCM numbering)
 CO2_THRESHOLD_ON = 800  # CO2 ppm level to turn relay on
 FAN_DURATION = 300  # Duration to keep the fan on (in seconds)

co2_sensor.py

@@ -10,7 +10,7 @@
 DEVICE_PATH = b'/dev/hidraw0'
 
 # Path to the SQLite database
-DB_PATH = 'sensor_data.db'
+DB_PATH = '../sensor_data.db'
 
 
 class CO2Sensor:
@@ -54,7 +54,6 @@ def save_to_db(self):
                 INSERT INTO last_day_sensor_data (date, co2, temperature, humidity)
                 VALUES (?, ?, ?, ?)
             """, (current_time, self.current_co2, self.current_temperature, self.current_humidity))
-            
             cursor.execute("""
                 DELETE FROM last_day_sensor_data WHERE date < datetime('now', '-24 hours')
             """)
@@ -140,7 +139,7 @@ def run(self):
                     self.parse_data(data)
                 else:
                     print("No data received from the device.")
-                time.sleep(10) 
+                time.sleep(10)
 
             self.h.close()
         except IOError as ex:

create_db.py

@@ -2,8 +2,12 @@
 # pylint: disable=import-error
 
 import sqlite3
+import os # Standard import should be before third-party
+from dotenv import load_dotenv
 
-DB_PATH = '../sensor_data.db'
+load_dotenv()  # Load environment variables from .env file
+
+DB_PATH = os.getenv('DB_PATH')
 
 conn = sqlite3.connect(DB_PATH)
 cursor = conn.cursor()

requirements.txt

@@ -2,3 +2,5 @@ hidapi
 Flask
 pandas
 plotly
+werkzeug
+python-dotenv

web_service/REAMME.md renamed to web_service/README.md

@@ -8,19 +8,28 @@
 import plotly.graph_objs as go
 from plotly.subplots import make_subplots
 from werkzeug.middleware.profiler import ProfilerMiddleware
+from dotenv import load_dotenv
+
+load_dotenv()  # Load environment variables from .env file
 
 app = Flask(__name__)
 
 # Determine the absolute path to the database file
 BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
 DB_NAME = os.path.join(BASE_DIR, 'sensor_data.db')
+DB_PATH = os.getenv('DB_PATH')
 
 def get_latest_data():
+    """Fetches the latest sensor data from the database."""
     try:
-        conn = sqlite3.connect(DB_NAME)
+        conn = sqlite3.connect(DB_PATH)
         cursor = conn.cursor()
         cursor.execute(
-            "SELECT date, co2, temperature, humidity FROM last_day_sensor_data ORDER BY id DESC LIMIT 1"
+            """
+            SELECT date, co2, temperature, humidity 
+            FROM last_day_sensor_data 
+            ORDER BY id DESC LIMIT 1
+            """
         )
         row = cursor.fetchone()
         if row:
@@ -38,8 +47,9 @@ def get_latest_data():
         conn.close()
 
 def fetch_last_day():
+    """Fetches the last day's sensor data from the database."""
     try:
-        conn = sqlite3.connect(DB_NAME)
+        conn = sqlite3.connect(DB_PATH)
         query = "SELECT date, co2, temperature, humidity FROM last_day_sensor_data;"
         df = pd.read_sql_query(query, conn)
         df['date'] = pd.to_datetime(df['date'])
@@ -70,28 +80,41 @@ def resample_data(df, rule='1T'):
 
 @app.route('/')
 def index():
+    """Renders the index page with sensor data plots."""
     df_orig = fetch_last_day()
     if df_orig.empty:
         return render_template('index.html', graph_html="No data available.")
-    
     # Resample data to one-minute intervals to reduce the number of points
     df = resample_data(df_orig, rule='1T')
 
     fig = make_subplots(
         rows=3,
         cols=1,
         shared_xaxes=True,
-        subplot_titles=("CO₂ Levels Over Time", "Temperature Over Time", "Humidity Over Time")
+        subplot_titles=(
+            "CO₂ Levels Over Time",
+            "Temperature Over Time",
+            "Humidity Over Time",
+        ),
     )
-    fig.add_trace(go.Scatter(x=df['date'], y=df['co2'], mode='lines', name='CO₂ over time'), row=1, col=1)
-    fig.add_trace(go.Scatter(x=df['date'], y=df['temperature'], mode='lines', name='Temperature (°C)'), row=2, col=1)
-    fig.add_trace(go.Scatter(x=df['date'], y=df['humidity'], mode='lines', name='Humidity (%)'), row=3, col=1)
+    fig.add_trace(
+        go.Scatter(x=df['date'], y=df['co2'], mode='lines', name='CO₂ over time'), row=1, col=1
+        )
+    fig.add_trace(
+        go.Scatter(x=df['date'], y=df['temperature'], mode='lines', name='Temperature (°C)'),
+        row=2,
+        col=1
+        )
+    fig.add_trace(
+        go.Scatter(x=df['date'], y=df['humidity'], mode='lines', name='Humidity (%)'), row=3, col=1
+        )
     fig.update_layout(title='Sensor Data Over Time', xaxis_title='Time', height=800)
     graph_html = fig.to_html(full_html=False)
     return render_template('index.html', graph_html=graph_html)
 
 @app.route('/current')
 def current():
+    """Renders the current data page."""
     current_data = get_latest_data()
     return render_template('current.html', current_data=current_data)