Data file structure¶

Application works with input data files in .csv format. In the following paragraphs is described what can be expected in one line of file.

Weather data¶

Sample line from data file

"03.06.2019 09:15:48";23.5;.4;0;76.1

• index 0 - date time
• index 1 - temperature in °C
• index 2 - wind in m/s
• index 3 - rain (values 0 or 1)
• index 4 - luminance in k lux

Jis data¶

Sample line from data file

"Zavora-FEL";"01.06.2019 00:02:45";1

• index 0 - place tag
• index 1 - date time
• index 2 - recorded amount of interactions

WebAuth data¶

Sample line from data file

"01.12.2019 00:00:00";4;2;"08:25";"09:10";"UL";"Laboratoř";"UL-109";"ul109p01-kks"

• index 0 - date (time is always 00:00:00)
• index 1 - recorded amount of logins
• index 2 - lesson
• index 3 - lesson start time
• index 4 - lesson end time
• index 5 - building tag
• index 6 - room type
• index 7 - room
• index 8 - computer

Weather prediction data¶

Weather prediction data is a json file format. It contains the following informations:

Under the hearder "current_condition" is the information about current weather. It needs to contain the following information:

• temprerature ("FeelsLikeC": "14")
• percentage of cloud coverage ("cloudcover": "75")
• wind speed ("windspeedKmph": "9")
• rain ("precipMM": "0.0")

Furhter in the file under the header "weather" needs to awlays be a date ("date": "2021-05-01") after which follows the value "hourly", in which is stored an array with weather predictions.

Each day there are 8 predictions, each for different starting time, specifically for times 0:00, 3:00, 6:00, 9:00, 12:00, 15:00, 18:00, 21:00.

There are 3 days weather predictions written out like this: today, tommorrow and the day after tommorrow.

Each of this hourly data must contain:

• temperatur ("FeelsLikeC": "6")
• percentage of cloud coverage ("cloudcover": "95")
• wind speed ("WindGustKmph": "10")
• probability of rain ("chanceofrain": "88")