Predictor external API

frontend/.env_sample

@@ -1,4 +1,5 @@
 REACT_APP_CONNECT_ID=
 REACT_APP_TM_API=https://tasking-manager-tm4-production-api.hotosm.org/api/v2/projects/PROJECT_ID/tasks/
 REACT_APP_ENV=Dev
-REACT_APP_API_BASE=http://127.0.0.1:8000/api/v1
+REACT_APP_API_BASE=http://127.0.0.1:8000/api/v1
+REACT_APP_PREDICTOR_API_BASE=http://127.0.0.1:8001

frontend/src/axios-predictor.js

@@ -0,0 +1,35 @@
+import axios from "axios";
+
+console.log(
+  "process.env.REACT_APP_PREDICTOR_API_BASE",
+  process.env.REACT_APP_PREDICTOR_API_BASE
+);
+
+const instance = axios.create({
+  baseURL: process.env.REACT_APP_PREDICTOR_API_BASE,
+});
+
+instance.interceptors.response.use(
+  (response) => {
+    return response;
+  },
+  (error) => {
+    if (!error.response) {
+      console.log("set network error");
+    } else {
+    }
+
+    if (error.response.status === 401) console.log("set network error 401");
+
+    return Promise.resolve({ error });
+  }
+);
+
+instance.defaults.headers.common = {
+  ...instance.defaults.headers.common,
+
+  "Content-Type": "application/json",
+};
+instance.defaults.preflightContinue = true;
+
+export default instance;

frontend/src/axios.js

@@ -1,45 +1,32 @@
-import axios from 'axios';
+import axios from "axios";
 
-console.log('process.env.REACT_APP_API_BASE',process.env.REACT_APP_API_BASE)
+console.log("process.env.REACT_APP_API_BASE", process.env.REACT_APP_API_BASE);
 
-const instance = axios.create(
-    {
-        baseURL: process.env.REACT_APP_API_BASE,
-
+const instance = axios.create({
+  baseURL: process.env.REACT_APP_API_BASE,
+});
 
-    }
-);
-
-
-instance.interceptors.response.use((response) => {
-
+instance.interceptors.response.use(
+  (response) => {
     return response;
-  }, (error) => {
-
-
-   if (!error.response)
-   {
-     console.log('set network error')
-
-    }
-    else
-    {
-
+  },
+  (error) => {
+    if (!error.response) {
+      console.log("set network error");
+    } else {
     }
 
-   if (error.response.status === 401)
-   console.log('set network error 401')
-
+    if (error.response.status === 401) console.log("set network error 401");
+
     return Promise.resolve({ error });
-  });
+  }
+);
 
 instance.defaults.headers.common = {
-    ...instance.defaults.headers.common,
-
-    "Content-Type": 'application/json',
-
- };
+  ...instance.defaults.headers.common,
+
+  "Content-Type": "application/json",
+};
 instance.defaults.preflightContinue = true;
-
-
-export default instance;
+
+export default instance;

frontend/src/components/Layout/Start/Prediction/Prediction.js

@@ -30,6 +30,7 @@ import {
 import { useMutation, useQuery } from "react-query";
 import { useNavigate, useParams } from "react-router-dom";
 import axios from "../../../../axios";
+import axiosPrediction from "../../../../axios-predictor";
 import AuthContext from "../../../../Context/AuthContext";
 import Snackbar from "@mui/material/Snackbar";
 
@@ -44,7 +45,9 @@ const Prediction = () => {
   const [predictions, setPredictions] = useState(null);
   const [feedbackSubmittedCount, setFeedbackSubmittedCount] = useState(0);
   const [addedTiles, setAddedTiles] = useState(new Set());
-
+  const [PredictionAPI, setPredictionAPI] = useState(
+    process.env.REACT_APP_PREDICTOR_API_BASE
+  );
   const handleCloseSnackbar = () => {
     setSnackbarOpen(false);
   };
@@ -250,7 +253,8 @@ const Prediction = () => {
         bounds._northEast.lng,
         bounds._northEast.lat,
       ],
-      model_id: id,
+      model_id: id, // this will be used when PredictionAPI is empty and calling same base API
+      checkpoint: `/mnt/efsmount/data/trainings/dataset_${dataset.id}/output/training_${modelInfo.trainingId}/checkpoint.tflite`, // this will be used when there is PredictionAPI different from the base API
       zoom_level: zoom,
       source: dataset.source_imagery,
       confidence: confidence,
@@ -261,7 +265,11 @@ const Prediction = () => {
       area_threshold: areaThreshold,
     };
     const startTime = new Date().getTime(); // measure start time
-    const res = await axios.post(`/prediction/`, body, { headers });
+    const res = await (PredictionAPI ? axiosPrediction : axios).post(
+      `/${PredictionAPI ? "predict" : "prediction"}/`,
+      body,
+      { headers }
+    );
     const endTime = new Date().getTime(); // measure end time
     setResponseTime(((endTime - startTime) / 1000).toFixed(0)); // calculate and store response time in seconds
     setApiCallInProgress(false);
@@ -359,14 +367,23 @@ const Prediction = () => {
         const osmUrl = new URL("http://127.0.0.1:8111/load_data");
         osmUrl.searchParams.set("new_layer", "true");
         osmUrl.searchParams.set("data", response.data);
-
         const josmResponse = await fetch(osmUrl);
+
         const Imgurl = new URL("http://127.0.0.1:8111/imagery");
         Imgurl.searchParams.set("type", "tms");
         Imgurl.searchParams.set("title", imagery.name);
         Imgurl.searchParams.set("url", dataset.source_imagery);
-
         const imgResponse = await fetch(Imgurl);
+        // bounds._southWest.lng,
+        // bounds._southWest.lat,
+        // bounds._northEast.lng,
+        // bounds._northEast.lat,
+        const loadurl = new URL("http://127.0.0.1:8111/load_and_zoom");
+        loadurl.searchParams.set("bottom", bounds._southWest.lat);
+        loadurl.searchParams.set("top", bounds._northEast.lat);
+        loadurl.searchParams.set("left", bounds._southWest.lng);
+        loadurl.searchParams.set("right", bounds._northEast.lng);
+        const loadResponse = await fetch(loadurl);
 
         if (!josmResponse.ok) {
           throw new Error(