add: platerecognizer, printautopilot, printify

Author: GTFalcao

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

@@ -1,5 +1,4 @@
 import { getFileStream } from "@pipedream/platform";
-import { checkTmp } from "../../common/utils.mjs";
 import platerecognizer from "../../platerecognizer.app.mjs";
 
 export default {
@@ -12,8 +11,8 @@ export default {
     platerecognizer,
     imageFileOrUrl: {
       type: "string",
-      label: "Image File or URL",
-      description: "The image file or URL to be recognized. Provide either a file URL or a path to a file in the `/tmp` directory (for example, `/tmp/myImage.jpg`)",
+      label: "Image Path or URL",
+      description: "The image to be recognized. Provide either a file URL or a path to a file in the `/tmp` directory (for example, `/tmp/myImage.jpg`)",
     },
     regions: {
       type: "string[]",
@@ -41,24 +40,18 @@ export default {
     },
   },
   async run({ $ }) {
-    const fileObj = {};
 
-    if (this.imageFileOrUrl.startsWith("http")) {
-      fileObj.upload_url = this.imageFileOrUrl;
-    } else {
-      const { stream } = getFileStream(checkTmp(this.imageFileOrUrl));
-      const chunks = [];
-      for await (const chunk of stream) {
-        chunks.push(chunk);
-      }
-      const buffer = Buffer.concat(chunks);
-      fileObj.upload = buffer.toString("base64");
+    const stream = getFileStream(this.imageFileOrUrl);
+    const chunks = [];
+    for await (const chunk of stream) {
+      chunks.push(chunk);
     }
+    const buffer = Buffer.concat(chunks);
 
     const response = await this.platerecognizer.runRecognition({
       $,
       data: {
-        ...fileObj,
+        upload: buffer.toString("base64"),
         regions: this.regions,
         camera_id: this.cameraId,
         mmc: this.mmc,

components/printautopilot/actions/add-pdf-to-queue/add-pdf-to-queue.mjs

@@ -27,11 +27,7 @@ export default {
     },
   },
   async run({ $ }) {
-    const filePath = this.filePath.includes("/tmp")
-      ? this.filePath
-      : `/tmp/${this.filePath}`;
-
-    const { stream } = getFileStream(filePath);
+    const stream = getFileStream(this.filePath);
     const chunks = [];
     for await (const chunk of stream) {
       chunks.push(chunk);

components/printify/actions/create-product/create-product.mjs

@@ -1,7 +1,5 @@
 import { getFileStream } from "@pipedream/platform";
-import {
-  checkTmp, isValidHttpUrl,
-} from "../../common/utils.mjs";
+import { checkTmp } from "../../common/utils.mjs";
 import printify from "../../printify.app.mjs";
 
 export default {
@@ -119,7 +117,7 @@ export default {
         props[`imagePath_${i}`] = {
           type: "string",
           label: `Image Path or URL ${i}`,
-          description: "The file to upload. Provide either a file URL or a path to a file in the `/tmp` directory (for example, `/tmp/myImage.jpg`).",
+          description: `The file to upload for image ${i}. Provide either a file URL or a path to a file in the \`/tmp\` directory (for example, \`/tmp/myImage.jpg\`).`,
         };
         props[`imageX_${i}`] = {
           type: "string",
@@ -157,22 +155,13 @@ export default {
     }
     for (let i = 1; i <= this.imageCount; i++) {
       const imageString = this[`imagePath_${i}`];
-
-      let file = "";
-      let fieldName = "";
-
-      if (isValidHttpUrl(imageString)) {
-        file = imageString;
-        fieldName = "url";
-      } else {
-        const { stream } = getFileStream(checkTmp(imageString));
-        const chunks = [];
-        for await (const chunk of stream) {
-          chunks.push(chunk);
-        }
-        file = Buffer.concat(chunks).toString("base64");
-        fieldName = "contents";
+      const stream = getFileStream(checkTmp(imageString));
+      const chunks = [];
+      for await (const chunk of stream) {
+        chunks.push(chunk);
       }
+      const file = Buffer.concat(chunks).toString("base64");
+      const fieldName = "contents";
 
       const responseImage = await this.printify.uploadImage({
         data: {