def update_logs_html():
day = get_timestamp().split()[0]
csv_path = '/home/pi/Pi_Weather_Station/src/logs/' + day + '.csv'
columns = [
'Log Time', 'Temp (C)', 'Temp (F)', 'Humidity', 'Pressure', 'DewPoint',
'X', 'Y', 'Z', 'Weather', 'AQI'
]
df = pd.read_csv(csv_path, names=columns)
with open('/home/pi/Pi_Weather_Station/src/templates/logs.html',
'w') as html_file:
html_file.write(df.to_html())
def get_csv_data():
"""Open the daily csv log and return the content"""
csv_list = []
day = get_timestamp().split()[0]
csv_path = os.path.join(os.path.dirname(__file__) + '/logs/', day + '.csv')
# csv_path = '/home/pi/Pi_Weather_Station/src/logs/' + day + '.csv'
with open(csv_path, 'r') as csv_file:
# content = f.read()
csv_reader = csv.reader(csv_file, delimiter=',')
for row in csv_reader:
# print(row)
csv_list.append(row)
return csv_list
def logs_web():
day = get_timestamp().split()[0]
csv_path = os.path.join(os.path.dirname(__file__), day + '.csv')
with open(csv_path, 'r') as f:
content = f.read()
return render_template('logs.html', content=content)
