New Components - platerecognizer

components/platerecognizer/actions/run-recognition/run-recognition.mjs

@@ -0,0 +1,67 @@
+import fs from "fs";
+import { checkTmp } from "../../common/utils.mjs";
+import platerecognizer from "../../platerecognizer.app.mjs";
+
+export default {
+  key: "platerecognizer-run-recognition",
+  name: "Run Recognition",
+  description: "Triggers a recognition process using the Plate Recognizer SDK.",
+  version: "0.0.1",
+  type: "action",
+  props: {
+    platerecognizer,
+    imageFileOrUrl: {
+      type: "string",
+      label: "Image File or URL",
+      description: "The image file or URL to be recognized.",
+    },
+    regions: {
+      type: "string[]",
+      label: "Regions",
+      description: "Regions to select specific license plate patterns. [See further details here](https://guides.platerecognizer.com/docs/other/country-codes/#country-codes)",
+      optional: true,
+    },
+    cameraId: {
+      type: "string",
+      label: "Camera ID",
+      description: "The ID of the camera that took the image.",
+      optional: true,
+    },
+    mmc: {
+      type: "boolean",
+      label: "MMC",
+      description: "Whether to detect vehicle make, model, and color.",
+      optional: true,
+    },
+    config: {
+      type: "object",
+      label: "Config",
+      description: "Additional configuration. [See further details here](https://guides.platerecognizer.com/docs/snapshot/api-reference/#engine-configuration)",
+      optional: true,
+    },
+  },
+  async run({ $ }) {
+    const fileObj = {};
+
+    if (this.imageFileOrUrl.startsWith("http")) {
+      fileObj.upload_url = this.imageFileOrUrl;
+    } else {
+      const file = fs.readFileSync(checkTmp(this.imageFileOrUrl));
+      fileObj.upload = Buffer(file).toString("base64");
+    }
+
+    const response = await this.platerecognizer.runRecognition({
+      $,
+      data: {
+        ...fileObj,
+        regions: this.regions,
+        camera_id: this.cameraId,
+        mmc: this.mmc,
+        config: this.config,
+      },
+    });
+
+    $.export("$summary", "Recognition process triggered successfully");
+    return response;
+  },
+};

components/platerecognizer/common/utils.mjs

@@ -0,0 +1,6 @@
+export const checkTmp = (filename) => {
+  if (!filename.startsWith("/tmp")) {
+    return `/tmp/${filename}`;
+  }
+  return filename;
+};

components/platerecognizer/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@pipedream/platerecognizer",
-  "version": "0.0.1",
+  "version": "0.1.0",
   "description": "Pipedream Plate Recognizer Components",
   "main": "platerecognizer.app.mjs",
   "keywords": [
@@ -11,5 +11,9 @@
   "author": "Pipedream <[email protected]> (https://pipedream.com/)",
   "publishConfig": {
     "access": "public"
+  },
+  "dependencies": {
+    "@pipedream/platform": "^1.6.5"
   }
-}
+}
+

components/platerecognizer/platerecognizer.app.mjs

@@ -1,11 +1,33 @@
+import { axios } from "@pipedream/platform";
+
 export default {
   type: "app",
   app: "platerecognizer",
-  propDefinitions: {},
   methods: {
-    // this.$auth contains connected account data
-    authKeys() {
-      console.log(Object.keys(this.$auth));
+    _baseUrl() {
+      return "https://api.platerecognizer.com/v1";
+    },
+    _headers(headers) {
+      return {
+        "Authorization": `Token ${this.$auth.api_token}`,
+        ...headers,
+      };
+    },
+    _makeRequest({
+      $ = this, path, headers = {}, ...opts
+    }) {
+      return axios($, {
+        url: `${this._baseUrl()}${path}`,
+        headers: this._headers(headers),
+        ...opts,
+      });
+    },
+    runRecognition(opts = {}) {
+      return this._makeRequest({
+        method: "POST",
+        path: "/plate-reader/",
+        ...opts,
+      });
     },
   },
-};
+};