Preprocessor using Cloud Function

This Repo host The Preprocessor part to handle requests received from Sigfox network (Callbacks)

Flow

• input is a Json and Must Contain a time key

{"time": "must have", "data": "Value", "Key2": "Value2","Key3": "Value3" } 

• The output is Json with parsed elements and calculated Location if possible also it will be writen to firestore on the same Project

How To Deploy

1. Setup gcloud console and Create a Project on GCP

2. Clone this Repository

3. Define environment variables for the Command or Specify them in configuration.py like PROJECT_NAME and other Fields (you can specify Data routes ... aka collections routes)

4. Make sure there is a Firestore DB created in the same GCP Project

5. Run The command (with ENV=prod also you can Add the other environment variables)

gcloud functions deploy Preprocessor --entry-point main --runtime python37 --trigger-http  --set-env-vars ENV=prod --allow-unauthenticated

Finally you can Get Function Url by

gcloud functions describe Preprocessor

availableMemoryMb: 256
entryPoint: main
httpsTrigger:
  url: https://REGION-PROJECT_NAME.cloudfunctions.net/Preprocessor
...
...
versionId: "1"

Last step is to add The link to Sigfox Callbacks URl and specify a valid payload with POST request

Note : No need to have Firestore credentials , everything internally managed By GCP

Example

input

{
    "time": "1576077223",
    "device": "336B67",
    "data": "3f0002d50003c50001c32402"
}

output

{
    "time": "1576077223",
    "device": "336B67",
    "data": "3f0002d50003c50001c32402",
    "parsed": {
        "type": "BLE",
        "Station_1_id": 2,
        "Station_1_rssi": 213,
        "Station_2_id": 3,
        "Station_2_rssi": 197,
        "Station_3_id": 1,
        "Station_3_rssi": 195,
        "Battery": 24,
        "Magnet_status": 2
    },
    "timestamp": 1576163534.164381,
    "location": {
        "status": True,
        "x": 277.9217391304348,
        "y": 298.7586956521739,
        "ref_station_2_pos": {
            "x": 34.0,
            "y": 5.0
        },
        "ref_station_3_pos": {
            "x": 12.0,
            "y": 37.0
        },
        "ref_station_1_pos": {
            "x": 47.0,
            "y": 7.0
        }
    }
}

Note : Stations Positions (ref_station_X_pos) are needed to calculate the position (using Trilateration) and are located in firestore DB inside TheCollection Config