[Components] needle - new action component

Author: jcortes

components/needle/actions/search-collection/search-collection.mjs

@@ -0,0 +1,70 @@
+import app from "../../needle.app.mjs";
+
+export default {
+  key: "needle-search-collection",
+  name: "Search Collection",
+  description: "Search a collection for relevant data chunks based on a query. [See the documentation](https://docs.needle-ai.com/docs/api-reference/search-collection/).",
+  version: "0.0.1",
+  type: "action",
+  props: {
+    app,
+    collectionId: {
+      propDefinition: [
+        app,
+        "collectionId",
+      ],
+    },
+    text: {
+      type: "string",
+      label: "Search Query",
+      description: "The text to search for in the collection.",
+    },
+    maxDistance: {
+      type: "string",
+      label: "Maximum Similarity Distance",
+      description: "Maximum similarity distance for the search results, between `0` and `1`.",
+      default: "0.65",
+      optional: true,
+    },
+    topK: {
+      type: "integer",
+      label: "Maximum Number Of Results",
+      description: "The maximum number of search results to return.",
+      default: 5,
+      optional: true,
+    },
+  },
+  methods: {
+    searchCollection({
+      collectionId, ...args
+    } = {}) {
+      return this.app.post({
+        path: `/collections/${collectionId}/search`,
+        ...args,
+      });
+    },
+  },
+  async run({ $ }) {
+    const {
+      searchCollection,
+      collectionId,
+      text,
+      maxDistance,
+      topK,
+    } = this;
+
+    const response = await searchCollection({
+      $,
+      collectionId,
+      data: {
+        text,
+        max_distance: maxDistance,
+        top_k: topK,
+      },
+    });
+
+    $.export("$summary", "Successfully searched the collection.");
+
+    return response;
+  },
+};

components/needle/needle.app.mjs

@@ -1,11 +1,58 @@
+import { axios } from "@pipedream/platform";
+
 export default {
   type: "app",
   app: "needle",
-  propDefinitions: {},
+  propDefinitions: {
+    collectionId: {
+      type: "string",
+      label: "Collection ID",
+      description: "The ID of the collection to search in.",
+      async options() {
+        const { result: collections } = await this.listCollections();
+        return collections.map(({
+          id: value,
+          name: label,
+        }) => ({
+          label,
+          value,
+        }));
+      },
+    },
+  },
   methods: {
-    // this.$auth contains connected account data
-    authKeys() {
-      console.log(Object.keys(this.$auth));
+    getUrl(path) {
+      return `https://needle-ai.com/api/v1${path}`;
+    },
+    getHeaders(headers) {
+      return {
+        "Content-Type": "application/json",
+        "Accept": "application/json",
+        "x-api-key": this.$auth.api_key,
+        ...headers,
+      };
+    },
+    makeRequest({
+      $ = this, path, headers, ...args
+    } = {}) {
+      return axios($, {
+        ...args,
+        debug: true,
+        url: this.getUrl(path),
+        headers: this.getHeaders(headers),
+      });
+    },
+    post(args) {
+      return this.makeRequest({
+        method: "POST",
+        ...args,
+      });
+    },
+    listCollections(args = {}) {
+      return this.makeRequest({
+        path: "/collections",
+        ...args,
+      });
     },
   },
-};
+};

components/needle/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@pipedream/needle",
-  "version": "0.0.1",
+  "version": "0.1.0",
   "description": "Pipedream Needle Components",
   "main": "needle.app.mjs",
   "keywords": [
@@ -11,5 +11,8 @@
   "author": "Pipedream <[email protected]> (https://pipedream.com/)",
   "publishConfig": {
     "access": "public"
+  },
+  "dependencies": {
+    "@pipedream/platform": "^3.0.3"
   }
-}
+}