update

html/admin.html

@@ -289,7 +289,7 @@ window.onload = function() {
         checkbox_nmp5channels.checked = response.npm_5channel;
         checkbox_bme.checked = response["BME280"];
         checkbox_SFA30.checked = response["SFA30"];
-        checkbox_CO2.checked = response["MH-Z19"];
+        checkbox_CO2.checked = response["MHZ19"];
 
         //si sonde envea is true
         if (response["envea"]) {

loop/SARA_send_data_v2.py

@@ -49,6 +49,7 @@ CSV PAYLOAD (AirCarto Servers)
     17  -> PM 5.0μm to 10μm quantity (Nb/L)
     18  -> NPM temp inside
     19  -> NPM hum inside
+    20  -> CO2
  
 JSON PAYLOAD (Micro-Spot Servers)
     Same as moduleair wifi
@@ -274,7 +275,7 @@ npm_5channel = config.get('npm_5channel', False)                #5 canaux du NPM
 selected_networkID = int(config.get('SARA_R4_neworkID', 0))
 send_uSpot = config.get('send_uSpot', False)                        #envoi sur MicroSpot ()
 bme_280_config = config.get('BME280', False)  
-co2_mhz19= config.get('MH-Z19', False)
+co2_mhz19= config.get('MHZ19', False)
 sensirion_sfa30= config.get('SFA30', False)
 
 reset_uSpot_url = False
@@ -499,7 +500,7 @@ def reset_server_hostname(profile_id):
 
     if profile_id == 0:
         print('<span style="color: orange;font-weight: bold;">🔧 Resetting AirCarto HTTP Profile</span>')
-        command = f'AT+UHTTP={profile_id},1,"data.nebuleair.fr"\r'
+        command = f'AT+UHTTP={profile_id},1,"data.moduleair.fr"\r'
         ser_sara.write((command + '\r').encode('utf-8'))
         response_SARA_5 = read_complete_response(ser_sara,  wait_for_lines=["OK"])
         print(response_SARA_5)
@@ -635,6 +636,30 @@ try:
         else:
             print("No data available in the database.")
 
+    #HM-Z19
+    if co2_mhz19:
+        # CO2 sensor - average of last 6 measures
+        print("➡️Getting CO2 values (last 6 measures)")
+        cursor.execute("SELECT rowid, * FROM data_CO2 ORDER BY rowid DESC LIMIT 6")
+
+        rows = cursor.fetchall()
+        if rows:
+            # Extract just the CO2 values (assuming CO2 is in column 2 after rowid and timestamp)
+            co2_values = [row[2] for row in rows]  # Adjust index based on your table structure
+            
+            # Calculate average
+            co2_average = round(sum(co2_values) / len(co2_values), 1)
+            
+            # Add data to payload CSV
+            payload_csv[20] = co2_average  # Choose appropriate index
+            
+            # Add data to payload JSON
+            payload_json["sensordatavalues"].append({"value_type": "CO2", "value": str(co2_average)})
+            
+            print(f"CO2 average from {len(co2_values)} measurements: {co2_average}")
+        else:
+            print("No CO2 data available in the database.")
+
 
     #print("Verify SARA R4 connection")
     

sqlite/read.py

@@ -14,6 +14,7 @@ data_NPM_5channels
 data_BME280
 data_envea
 timestamp_table
+data_CO2
 
 '''