Disable Indoor Unit
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2d84e9f6d1
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167
app.py
167
app.py
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@ -7,16 +7,18 @@ import time
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import requests
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import json
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global last_indoor_data
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# global last_indoor_data
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global indoor_server_ip
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global indoor_server_password
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global outdoor_api_url
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global location
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# Load the config file "config.json"
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config = json.loads(open("config.json", "r").read())
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indoor_server_ip = config["indoor_server_ip"]
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indoor_server_password = config["indoor_server_password"]
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outdoor_api_url = config["outdoor_api_url"]
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location = config["location"]
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# Assume that the indoor unit is offline
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# The get_indoor_data() function will update this variable
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@ -24,86 +26,86 @@ last_indoor_data = {
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"offline": True
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}
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def get_indoor_data() -> list:
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global indoor_server_ip
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global indoor_server_password
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# SMB server details
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server_name = indoor_server_ip
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share_name = "airvisual"
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username = "airvisual"
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password = indoor_server_password
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# def get_indoor_data() -> list:
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# global indoor_server_ip
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# global indoor_server_password
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# # SMB server details
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# server_name = indoor_server_ip
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# share_name = "airvisual"
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# username = "airvisual"
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# password = indoor_server_password
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# File details, The file is a text file with name:
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# <year><month>_AirVisual_values.txt
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# Get the prefix of the file name
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prefix = time.strftime("%Y%m", time.localtime())
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file_path = prefix + "_AirVisual_values.txt"
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# # File details, The file is a text file with name:
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# # <year><month>_AirVisual_values.txt
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# # Get the prefix of the file name
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# prefix = time.strftime("%Y%m", time.localtime())
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# file_path = prefix + "_AirVisual_values.txt"
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# Connect to the SMB server
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conn = SMBConnection(username, password, "", "")
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conn.connect(server_name, 139)
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# # Connect to the SMB server
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# conn = SMBConnection(username, password, "", "")
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# conn.connect(server_name, 139)
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# Read the file contents
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file_obj = open(file_path, "wb")
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conn.retrieveFile(share_name, file_path, file_obj)
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conn.close()
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# # Read the file contents
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# file_obj = open(file_path, "wb")
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# conn.retrieveFile(share_name, file_path, file_obj)
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# conn.close()
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# Open the local cached file
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file_obj = open(file_path, "r")
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# # Open the local cached file
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# file_obj = open(file_path, "r")
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# The first line of the file contains the header
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# The header contains the column names separated by a semicolon (;)
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# The rest of the file contains the data separated by a semicolon (;)
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# Extract the column names and the data from the file
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file_obj.seek(0)
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header = file_obj.readline().strip().split(";")
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data = file_obj.readlines()
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# Split all the data into a list of lists
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data = [row.strip().split(";") for row in data]
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file_obj.close()
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# # The first line of the file contains the header
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# # The header contains the column names separated by a semicolon (;)
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# # The rest of the file contains the data separated by a semicolon (;)
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# # Extract the column names and the data from the file
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# file_obj.seek(0)
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# header = file_obj.readline().strip().split(";")
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# data = file_obj.readlines()
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# # Split all the data into a list of lists
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# data = [row.strip().split(";") for row in data]
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# file_obj.close()
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# Remap the header names
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headers_map = {
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"PM2_5(ug/m3)": "pm25",
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"PM10(ug/m3)": "pm10",
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"PM1(ug/m3)": "pm1",
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"CO2(ppm)": "co2",
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"AQI(US)": "aqi",
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"Temperature(C)": "temperature",
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"Humidity(%RH)": "humidity",
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"Timestamp": "time"
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}
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# # Remap the header names
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# headers_map = {
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# "PM2_5(ug/m3)": "pm25",
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# "PM10(ug/m3)": "pm10",
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# "PM1(ug/m3)": "pm1",
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# "CO2(ppm)": "co2",
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# "AQI(US)": "aqi",
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# "Temperature(C)": "temperature",
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# "Humidity(%RH)": "humidity",
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# "Timestamp": "time"
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# }
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# Remove rows with header names that are not in the header map
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# First, get the indices of the header names that are in the header map
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headers_indices = []
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for index, name in enumerate(header):
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if name in headers_map:
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headers_indices.append(index)
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# # Remove rows with header names that are not in the header map
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# # First, get the indices of the header names that are in the header map
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# headers_indices = []
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# for index, name in enumerate(header):
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# if name in headers_map:
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# headers_indices.append(index)
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# Construct the new header with the header names that are in the header map
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header = [header[index] for index in headers_indices]
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# # Construct the new header with the header names that are in the header map
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# header = [header[index] for index in headers_indices]
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# Construct the new data with only the columns indicated by the header indices
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data = [[row[index] for index in headers_indices] for row in data]
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# # Construct the new data with only the columns indicated by the header indices
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# data = [[row[index] for index in headers_indices] for row in data]
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# Remap the header names
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headers = [headers_map[name] for name in header]
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# # Remap the header names
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# headers = [headers_map[name] for name in header]
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# Convert unix timestamp to human readable time
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for row in data:
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row[headers.index("time")] = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(int(row[headers.index("time")])))
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# # Convert unix timestamp to human readable time
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# for row in data:
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# row[headers.index("time")] = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(int(row[headers.index("time")])))
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# Create a list of dictionaries representing the data
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# Each dictionary represents a row of data
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data_list = []
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for row in data:
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data_dict = {}
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for header in headers:
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data_dict[header] = row[headers.index(header)]
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data_list.append(data_dict)
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return data_list
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# # Create a list of dictionaries representing the data
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# # Each dictionary represents a row of data
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# data_list = []
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# for row in data:
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# data_dict = {}
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# for header in headers:
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# data_dict[header] = row[headers.index(header)]
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# data_list.append(data_dict)
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# return data_list
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def get_outdoor_data_current() -> dict:
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# Fetch the data from the AirVisual API
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@ -163,6 +165,7 @@ def get_outdoor_data_current() -> dict:
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data["last_updated"] = int(time.time())
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open("outdoor_data_cache.txt", "w").write(json.dumps(data))
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# Remove the last_updated key
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# TODO store the data in a database
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return data
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except:
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# Oops, we got rate limited
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@ -193,11 +196,17 @@ app = Flask(__name__)
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# Refresh the indoor data every 30 seconds
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def refresh_data():
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while True:
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print("Fetching indoor data!")
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indoor_data = get_indoor_data()
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global last_indoor_data
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# last_indoor_data the last dictionary in the list
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last_indoor_data = indoor_data[-1]
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# print("Fetching indoor data!")
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# indoor_data = get_indoor_data()
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# global last_indoor_data
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# # last_indoor_data the last dictionary in the list
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# last_indoor_data = indoor_data[-1]
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# Fetch the outdoor data
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print("Fetching outdoor data!")
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outdoor_data = get_outdoor_data_current()
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sleep(30)
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# Start the thread to refresh the data
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@ -206,10 +215,14 @@ Thread(target=refresh_data).start()
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# Return All Data in the current month
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@app.route("/get_data", methods=["GET"])
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def get_data_route():
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global last_indoor_data
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indoor_data = last_indoor_data
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global location
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# global last_indoor_data
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# indoor_data = last_indoor_data
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# Indoor data fetch is disabled
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indoor_data = {}
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outdoor_data = get_outdoor_data_current()
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merged_data = merge_data(indoor_data, outdoor_data)
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merged_data["location"] = location
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return jsonify(merged_data)
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app.run("0.0.0.0", 5000)
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@ -0,0 +1 @@
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curl -X PUT --data-binary @nginx.json --unix-socket /var/run/control.unit.sock http://localhost/config
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@ -0,0 +1,277 @@
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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=1.0">
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<title>Air Quality Dashboard</title>
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<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/normalize/8.0.1/normalize.min.css">
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<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.3/css/all.min.css">
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<script src="https://kit.fontawesome.com/34a5e0cdf4.js" crossorigin="anonymous"></script>
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<link rel="preconnect" href="https://fonts.googleapis.com">
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<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
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<link href="https://fonts.googleapis.com/css2?family=Roboto&display=swap" rel="stylesheet">
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<script src="//code.iconify.design/1/1.0.6/iconify.min.js"></script>
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<style>
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body {
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display: flex;
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justify-content: center;
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align-items: center;
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height: 100vh;
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margin: 0;
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font-family: "Roboto", sans-serif;
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}
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.card_frame {
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display: grid;
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width: 750px;
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height: 260px;
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border-radius: 30px;
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box-shadow: 0px 0px 10px 0px rgba(0, 0, 0, 0.1);
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}
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.title_frame {
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width: 750px;
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height: 50px;
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background-color: #ffffff;
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border-top-right-radius: 30px;
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border-top-left-radius: 30px;
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}
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.title_text {
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font-size: 20px;
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padding-top: 5px;
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padding-bottom: 5px;
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text-align: center;
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color: rgb(57, 57, 57);
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font-family: "Roboto", sans-serif;
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align-self: center;
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margin: 0;
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}
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.top_element {
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display: grid;
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grid-template-columns: 1fr 2fr 2fr;
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background-color: #97FF55;
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height: 190px;
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}
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.bottom_element {
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display: grid;
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grid-template-columns: 1fr 1fr;
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background-color: #ffffff;
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border-bottom-right-radius: 30px;
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border-bottom-left-radius: 30px;
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height: 40px;
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}
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.buttom_left_frame {
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display: flex;
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grid-template-columns: 1fr 1fr;
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justify-content: center;
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justify-items: center;
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align-items: center;
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background-color: #ffffff;
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border-bottom-left-radius: 30px;
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height: 40px;
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border-right: 1px solid #828282;
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}
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.buttom_right_frame {
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display: flex;
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grid-template-columns: 1fr 1fr;
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justify-content: center;
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justify-items: center;
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align-items: center;
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background-color: #ffffff;
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border-bottom-right-radius: 30px;
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height: 40px;
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border-left: 1px solid #828282;
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}
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.buttom_text {
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font-size: 20px;
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font-weight: 500;
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color: #000000;
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margin-left: 10px;
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font-family: "Roboto", sans-serif;
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}
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.health_icon_frame {
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padding-top: 10px;
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display: flex;
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flex-direction: column;
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justify-content: center;
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justify-items: center;
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align-items: center;
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background-color: #7bdb3f;
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font-size: 100px;
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color: #fff;
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}
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.health_text {
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font-size: 20px;
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font-weight: 500;
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color: #ffffff;
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margin-left: 10px;
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}
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.top_frame_element_frame {
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display: flex;
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;
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flex-direction: column;
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justify-content: center;
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justify-items: center;
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align-items: center;
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background-color: #ffffff;
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border-radius: 30px;
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font-size: 100px;
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margin-bottom: 7px;
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margin-left: 7px;
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width: 270px;
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color: #939393;
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align-self: flex-end;
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}
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.top_frame_value_text {
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font-weight: 400;
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color: #7a7a7a;
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margin-left: 0px;
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text-align: center;
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font-size: 110px;
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margin-top: 7px;
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margin-bottom: 7px;
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}
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.top_frame_label_text {
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font-size: 20px;
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font-weight: 400;
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color: #000000;
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margin-left: 10px;
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margin-top: 7px;
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margin-bottom: 7px;
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}
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</style>
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</head>
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<div class="card_frame">
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<div class="title_frame">
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<p class="title_text" id="title">Loading . . .</p>
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<div class="top_element" id="top_element">
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<div class="health_icon_frame" id="health_icon_frame">
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<span class="iconify" data-icon="mdi-heart" id="health_icon"></span>
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<p class="health_text" , id="health_text">Healthy</p>
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</div>
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<div class="top_frame_label_block">
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<p class="top_frame_value_text" , id="outdoor-aqi">N/A</p>
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<div class="top_frame_element_frame">
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<p class="top_frame_label_text">Air Quality Index (US)</p>
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</div>
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</div>
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<div class="top_frame_label_block">
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<p class="top_frame_value_text" , id="outdoor-pm25">N/A</p>
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<div class="top_frame_element_frame">
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<p class="top_frame_label_text">PM2.5 (μg/m3)</p>
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</div>
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</div>
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</div>
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<div class="bottom_element">
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<div class="buttom_left_frame">
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<i class="fa fa-thermometer-half" aria-hidden="true"></i>
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<p class="buttom_text" id="outdoor-temp">Temperature: N/A</p>
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</div>
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<div class="buttom_right_frame">
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<i class="fa fa-tint" aria-hidden="true"></i>
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<p class="buttom_text" id="outdoor-humid">Humidity: N/A</p>
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</div>
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</div>
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</div>
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<script src="https://code.jquery.com/jquery-3.6.0.min.js"></script>
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<script>
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$(document).ready(function () {
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// Fetch data from API
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function fetchData() {
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var current_path = window.location.pathname;
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// If current path end with index.html, remove it
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// The API endpoint will have parameters like this:
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// /card.html?location="satitm/satite"
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// We will use that location parameter to fetch data from the correct API endpoint
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api_prefix = "";
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// Get the location parameter from the URL
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var urlParams = new URLSearchParams(window.location.search);
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var location = urlParams.get('location');
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if (location != null) {
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api_prefix = location + "/";
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// Get the root domain of the current URL
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var root_domain = window.location.protocol + "//" + window.location.host + "/";
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// append the API prefix to the root domain
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var api_url = root_domain + api_prefix + "get_data";
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$.get(api_url, function (data) {
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console.log(data);
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// Set Title Location String
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$("#title").text(data.location);
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// Update outdoor AQI and PM2.5 values
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$("#outdoor-aqi").text(data.aqi_outdoor);
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$("#outdoor-pm25").text(data.pm25_outdoor);
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// Update outdoor temperature and humidity values
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$("#outdoor-temp").text("Temperature: " + data.temperature_outdoor + "°C");
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$("#outdoor-humid").text("Humidity: " + data.humidity_outdoor + "%");
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// Is outdoor AQI healthy?
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// If AQI is less than 50, it is healthy
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// If AQI is between 50 and 100, it is unhealthy
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// If AQI is more than 100, it is very unhealthy
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var oldIcon = document.getElementById("health_icon");
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||||
oldIcon.parentNode.removeChild(oldIcon);
|
||||
var newIcon = document.createElement("span");
|
||||
newIcon.setAttribute("class", "iconify");
|
||||
|
||||
newIcon.setAttribute("data-inline", "false");
|
||||
newIcon.id = "health_icon";
|
||||
if (data.aqi_outdoor < 50) {
|
||||
newIcon.setAttribute("data-icon", "mdi-heart");
|
||||
Iconify.scanDOM();
|
||||
$("#health_text").text("Healthy");
|
||||
$("#top_element").css("background-color", "#97FF55");
|
||||
$("#health_icon_frame").css("background-color", "#7bdb3f");
|
||||
} else if (data.aqi_outdoor >= 50 && data.aqi_outdoor < 100) {
|
||||
newIcon.setAttribute("data-icon", "mdi-smog");
|
||||
Iconify.scanDOM();
|
||||
$("#health_text").text("Moderate");
|
||||
$("#top_element").css("background-color", "#FFD300");
|
||||
$("#health_icon_frame").css("background-color", "#f9c300");
|
||||
} else {
|
||||
newIcon.setAttribute("data-icon", "mdi-skull-crossbones");
|
||||
Iconify.scanDOM();
|
||||
$("#health_text").text("Unhealthy");
|
||||
$("#top_element").css("background-color", "#FF6969");
|
||||
$("#health_icon_frame").css("background-color", "#A54444");
|
||||
}
|
||||
|
||||
document.getElementById("health_icon_frame").appendChild(newIcon);
|
||||
Iconify.scanDOM();
|
||||
});
|
||||
}
|
||||
else {
|
||||
$("#title").text("Please specify location in URL (?location=...)");
|
||||
}
|
||||
|
||||
|
||||
}
|
||||
|
||||
fetchData(); // Fetch data immediately when the page loads
|
||||
setInterval(fetchData, 10000); // Fetch data every 10 seconds
|
||||
});
|
||||
</script>
|
||||
</body>
|
||||
|
||||
</html>
|
||||
|
|
@ -53,8 +53,8 @@
|
|||
<h1>Air Quality Monitoring System</h1>
|
||||
<h2>Chulalongkorn University Demonstation School</h2>
|
||||
<p>Where are you?</p>
|
||||
<a class="button" href="/satite/index.html">Primary School</a>
|
||||
<a class="button" href="/satitm/index.html">Secondary School</a>
|
||||
<a class="button" href="/card.html?location=satite">Primary School</a>
|
||||
<a class="button" href="/card.html?location=satitm">Secondary School</a>
|
||||
</div>
|
||||
</body>
|
||||
|
||||
|
|
|
|||
|
|
@ -19,12 +19,9 @@
|
|||
align-items: center;
|
||||
height: 100vh;
|
||||
margin: 0;
|
||||
background-color: #828282;
|
||||
font-family: "Roboto", sans-serif;
|
||||
}
|
||||
.card_frame {
|
||||
margin-top: 10px;
|
||||
margin-left: 10px;
|
||||
display: grid;
|
||||
width: 750px;
|
||||
height: 230px;
|
||||
|
|
@ -1 +0,0 @@
|
|||
/app/iqair-apiserver/static/index_global.html
|
||||
|
|
@ -1 +0,0 @@
|
|||
/app/iqair-apiserver/static/index_global.html
|
||||
Loading…
Reference in New Issue