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. The expected format is following:
All data is contained in one object, in this object are at least two arrays labeled as following:- "current_condition"
- "weather"
Current condition¶
In this array is one object that contains information about current weather:- temprerature ("FeelsLikeC": "14")
- percentage of cloud coverage ("cloudcover": "75")
- precipitation in mm ("precipMM":"1.6")
- wind speed ("windspeedKmph": "9")
Weather¶
In this array are three objects, each one contains weather prediction for one day. Each one of those objects contains the following:
- array "astronomy"
- date ("date":"2021-05-12")
- array hourly
Astronomy¶
In this array is one object that contains the following data
- time of sunrise ("sunrise":"05:27 AM")
- time of sunset ("sunset":"08:37 PM")
Hourly¶
In this array are 8 objects, each contains the prediction for one specific time interval. Specifically for times 0:00, 3:00, 6:00, 9:00, 12:00, 15:00, 18:00, 21:00.
Each of this hourly data must contain:
- time ("time": "0000", which is translated to 00:00, first two numbers taken as the hour value)
- temperature ("tempC": "6")
- percentage of cloud coverage ("cloudcover": "95")
- wind speed ("WindGustKmph": "10")
- probability of rain ("chanceofrain": "88")
Aktualizováno uživatelem Alex Konig před téměř 4 roky(ů) · 12 revizí