digitreck-python
digitreck-python library enables Python applications to connect to digiTreck servers in a fast and convenient way. It enables using digiTreck APIs as methods alongwith header and checksum management.
1. Adding Dependency
Easiest way to integrate digitreck library to your app is through pip
pip install digitrecklib
2. Initialize the Library
To initialize the library, get Project API Key and Private key from the dashboard.
config = {
Config.SERVER_KEY: REPLACE_WITH_API_KEY_FROM_PROJECT,
Config.PRIVATE_KEY: REPLACE_WITH_SECRET_SALT_FROM_PROJECT
}
requester = Digitreck(config).getInstance()
3. Next Steps
Congratulations! You have successfully performed the basic integration. Now lets move to performing functions like location management and session management.
1. Device Location
device_id = DEVICE_ID
result = helper.getLocation(device_id)
2. Device Path
device_id = NAUTILUS_DEVICE_ID_1
start_date = "2017-02-20T19:34:01.326Z"
end_date = "2017-02-20T19:34:01.326Z"
result = helper.getPath(device_id, start_date, end_date)
3. Nearby Device
count = RESULT_COUNT
access_key = ACCESS_KEY
lat = LATITUDE
lng = LONGITUDE
range = RADIUS
result = helper.getNearbyDevice(count, access_key, lat, lng, range)
1. Creating a Tracking session
device_list = [
DEVICE_ID_1,
DEVICE_ID_2
]
result = requester.createSessions(device_list)
2. Releasing a Tracking session
tracking_id = TRACKING_SESSION_ID
result = helper.releaseSession(tracking_id)