add and activate point robinson hydrophone

InferenceSystem/README.md

@@ -152,6 +152,18 @@ This can be completed in two ways.
         INFERENCESYSTEM_APPINSIGHTS_CONNECTION_STRING=<string>
         ```
 
+## Adding a new hydrophone
+
+1. Create a new config file under the [config](config) folder
+
+2. Update the last line of the [Dockerfile](Dockerfile) to point to the new config file 
+
+3. Create a new deployment YAML under the [deploy](deploy) folder
+
+4. Update [src/LiveInferenceOrchestrator.py](src/LiveInferenceOrchestrator.py) and [src/globals.py](src/globals.py) to add variables for the new hydrophone location 
+
+5. Follow all other steps below until you update the kubernetes cluster with the new namespace
+
 ## Building the docker container for production
 
 From the `InferenceSystem` directory, run the following command.
@@ -164,7 +176,8 @@ docker build . -t live-inference-system -f ./Dockerfile
 
 Note: the config used in the Dockerfile is a Production config.
 
-TODO: fix. For now, you will have to manually create 3 different docker containers for the 3 hydrophone locations. Each time you will need to edit the Dockerfile and replace the config for each hydrophone location (OrcasoundLab, BushPoint, PortTownsend).
+TODO: fix. For now, you will have to manually create 5 different docker containers for the 5 hydrophone locations. Each time you will need to edit the Dockerfile and replace the config for each hydrophone location (OrcasoundLab, BushPoint, PortTownsend, Sunset Bay and Point Robinson).
+
 
 ## Running the docker container
 
@@ -300,6 +313,7 @@ kubectl logs -n bush-point inference-system-6d4845c5bc-tfsbw
 <details>
   <summary>Deployment to Azure Container Instances (deprecated)</summary>
 # Deploying an updated docker build to Azure Container Instances
+# This method has been deprecated
 
 ## Prerequisites
 

InferenceSystem/config/Production/FastAI_LiveHLS_PointRobinson.yml

@@ -0,0 +1,10 @@
+model_type: "FastAI"
+model_local_threshold: 0.5
+model_global_threshold: 3
+model_path: "./model"
+model_name: "model.pkl"
+hls_stream_type: "LiveHLS"
+hls_polling_interval: 60
+hls_hydrophone_id: "rpi_point_robinson"
+upload_to_azure: True
+delete_local_wavs: True

InferenceSystem/deploy-aci.yaml

@@ -65,6 +65,21 @@ properties:
         requests:
           cpu: 1.0
           memoryInGB: 3
+  - name: point-robinson-live
+    properties:
+      environmentVariables:
+      - name: AZURE_COSMOSDB_PRIMARY_KEY
+        secureValue: '<cosmos_primary_key>'
+      - name: AZURE_STORAGE_CONNECTION_STRING
+        secureValue: '<storage_connection_string>'
+      - name: INFERENCESYSTEM_APPINSIGHTS_CONNECTION_STRING
+        secureValue: '<appinsights_connection_string>'
+      image: orcaconservancycr.azurecr.io/live-inference-system:11-15-20.FastAI.R1-12.PointRobinson.v0
+      ports: []
+      resources:
+        requests:
+          cpu: 1.0
+          memoryInGB: 3
   imageRegistryCredentials:
   - server: orcaconservancycr.azurecr.io
     username: orcaconservancycr

InferenceSystem/deploy/point-robinson.yaml

@@ -0,0 +1,38 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: inference-system
+  namespace: point-robinson
+spec:
+  replicas: 1
+  selector:
+    matchLabels:
+      app: inference-system
+  template:
+    metadata:
+      labels:
+        app: inference-system
+    spec:
+      containers:
+      - name: inference-system
+        image: orcaconservancycr.azurecr.io/live-inference-system:11-15-20.FastAI.R1-12.PointRobinson.v0
+        resources:
+          limits:
+            cpu: 1
+            memory: 3G
+        env:
+          - name: AZURE_COSMOSDB_PRIMARY_KEY
+            valueFrom:
+              secretKeyRef:
+                name: inference-system
+                key: AZURE_COSMOSDB_PRIMARY_KEY
+          - name: AZURE_STORAGE_CONNECTION_STRING
+            valueFrom:
+              secretKeyRef:
+                name: inference-system
+                key: AZURE_STORAGE_CONNECTION_STRING
+          - name: INFERENCESYSTEM_APPINSIGHTS_CONNECTION_STRING
+            valueFrom:
+              secretKeyRef:
+                name: inference-system
+                key: INFERENCESYSTEM_APPINSIGHTS_CONNECTION_STRING

InferenceSystem/src/LiveInferenceOrchestrator.py

@@ -37,8 +37,9 @@
 PORT_TOWNSEND_LOCATION = {"id": "rpi_port_townsend", "name": "Port Townsend", "longitude":  -122.76045, "latitude": 48.13569}
 BUSH_POINT_LOCATION = {"id": "rpi_bush_point", "name": "Bush Point", "longitude":  -122.6039, "latitude": 48.03371}
 SUNSET_BAY_LOCATION = {"id": "rpi_sunset_bay", "name": "Sunset Bay", "longitude":  -122.3339, "latitude": 47.86497}
+POINT_ROBINSON_LOCATION = {"id": "rpi_point_robinson", "name": "Point Robinson", "longitude":  -122.37267, "latitude": 47.38838}
 
-source_guid_to_location = {"rpi_orcasound_lab" : ORCASOUND_LAB_LOCATION, "rpi_port_townsend" : PORT_TOWNSEND_LOCATION, "rpi_bush_point": BUSH_POINT_LOCATION, "rpi_sunset_bay": SUNSET_BAY_LOCATION }
+source_guid_to_location = {"rpi_orcasound_lab" : ORCASOUND_LAB_LOCATION, "rpi_port_townsend" : PORT_TOWNSEND_LOCATION, "rpi_bush_point": BUSH_POINT_LOCATION, "rpi_sunset_bay": SUNSET_BAY_LOCATION, "rpi_point_robinson": POINT_ROBINSON_LOCATION }
 
 def assemble_blob_uri(container_name, item_name):
 

InferenceSystem/src/globals.py

@@ -5,6 +5,7 @@
     "port_townsend": "https://s3-us-west-2.amazonaws.com/streaming-orcasound-net/rpi_port_townsend",
     "bush_point": "https://s3-us-west-2.amazonaws.com/streaming-orcasound-net/rpi_bush_point",
     "sunset_bay": "https://s3-us-west-2.amazonaws.com/streaming-orcasound-net/rpi_sunset_bay",
+    "point_robinson": "https://s3-us-west-2.amazonaws.com/streaming-orcasound-net/rpi_point_robinson",
 }
 
 # Limits time window (end - start) of negative samples to be downloaded for retraining