Fetch Vectors with Pinecone API on New Pub/Sub Messages from Google Cloud API

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New Pub/Sub Messages from the Google Cloud API

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Fetch Vectors with the Pinecone API

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Getting Started#

This integration creates a workflow with a Google Cloud trigger and Pinecone action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Pub/Sub Messages trigger
1. Connect your Google Cloud account
2. Select a Type
Configure the Fetch Vectors action
1. Connect your Pinecone account
2. Select a Index Name
3. Optional- Configure Namespace
4. Configure Vector IDs
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Details#

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger#

New Pub/Sub Messages on Google Cloud

Description:Emit new Pub/Sub topic in your GCP account. Messages published to this topic are emitted from the Pipedream source.

Version:0.1.6

Key:google_cloud-new-pubsub-messages

View on GitHub

Google Cloud Overview#

The Google Cloud API opens a world of possibilities for enhancing cloud operations and automating tasks. It empowers you to manage, scale, and fine-tune various services within the Google Cloud Platform (GCP) programmatically. With Pipedream, you can harness this power to create intricate workflows, trigger cloud functions based on events from other apps, manage resources, and analyze data, all in a serverless environment. The ability to interconnect GCP services with numerous other apps enriches automation, making it easier to synchronize data, streamline development workflows, and deploy applications efficiently.

Trigger Code#

import { PubSub } from "@google-cloud/pubsub";
import googleCloud from "../../google_cloud.app.mjs";

export default {
  key: "google_cloud-new-pubsub-messages",
  name: "New Pub/Sub Messages",
  description: "Emit new Pub/Sub topic in your GCP account. Messages published to this topic are emitted from the Pipedream source.",
  version: "0.1.6",
  type: "source",
  dedupe: "unique", // Dedupe on Pub/Sub message ID
  props: {
    googleCloud,
    http: "$.interface.http",
    db: "$.service.db",
    topicType: {
      type: "string",
      label: "Type",
      description: "Do you have an existing Pub/Sub topic, or would you like to create a new one?",
      options: [
        "existing",
        "new",
      ],
      reloadProps: true,
    },
  },
  async additionalProps() {
    const topic = {
      type: "string",
      label: "Pub/Sub Topic Name",
      description: "Select a Pub/Sub topic from your GCP account to watch",
      options: async () => {
        return this.getTopics();
      },
    };
    if (this.topicType === "new") {
      topic.description = "**Pipedream will create a Pub/Sub topic with this name in your account**, converting it to a [valid Pub/Sub topic name](https://cloud.google.com/pubsub/docs/admin#resource_names).";
      delete topic.options;
    }
    return {
      topic,
    };
  },
  methods: {
    _getTopicName() {
      return this.db.get("topicName");
    },
    _setTopicName(topicName) {
      this.db.set("topicName", topicName);
    },
    _getSubscriptionName() {
      return this.db.get("subscriptionName");
    },
    _setSubscriptionName(subscriptionName) {
      this.db.set("subscriptionName", subscriptionName);
    },
    async getTopics() {
      const sdkParams = this.googleCloud.sdkParams();
      const pubSubClient = new PubSub(sdkParams);
      const topics = (await pubSubClient.getTopics())[0];
      if (topics.length > 0) {
        return topics.map((topic) => topic.name);
      }
      return [];
    },
    convertNameToValidPubSubTopicName(name) {
      // For valid names, see https://cloud.google.com/pubsub/docs/admin#resource_names
      return name
        // Must not start with `goog`. We add a `pd-` at the beginning if that's the case.
        .replace(/(^goog.*)/g, "pd-$1")
        // Must start with a letter, otherwise we add `pd-` at the beginning.
        .replace(/^(?![a-zA-Z]+)/, "pd-")
        // Only certain characters are allowed, the rest will be replaced with a `-`.
        .replace(/[^a-zA-Z0-9_\-.~+%]+/g, "-");
    },
  },
  hooks: {
    async activate() {
      const sdkParams = this.googleCloud.sdkParams();
      const pubSubClient = new PubSub(sdkParams);

      const currentTopic = {
        name: this.topic,
      };
      if (this.topicType === "new") {
        const topicName = this.convertNameToValidPubSubTopicName(this.topic);
        console.log(`Creating Pub/Sub topic ${topicName}`);
        const [
          topic,
        ] = await pubSubClient.createTopic(topicName);
        currentTopic.name = topic.name;
      }
      this._setTopicName(currentTopic.name);

      const pushEndpoint = this.http.endpoint;
      const subscriptionName = this.convertNameToValidPubSubTopicName(pushEndpoint);
      const subscriptionOptions = {
        pushConfig: {
          pushEndpoint,
        },
      };
      console.log(
        `Subscribing this source's URL to the Pub/Sub topic: ${pushEndpoint}
        (under name ${subscriptionName}).`,
      );
      const [
        subscriptionResult,
      ] = await pubSubClient
        .topic(currentTopic.name)
        .createSubscription(subscriptionName, subscriptionOptions);
      this._setSubscriptionName(subscriptionResult.name);
    },
    async deactivate() {
      const sdkParams = this.googleCloud.sdkParams();
      const pubSubClient = new PubSub(sdkParams);

      const subscriptionName = this._getSubscriptionName();
      if (subscriptionName) {
        await pubSubClient.subscription(subscriptionName).delete();
      }

      if (this.topicType === "new") {
        const topicName = this._getTopicName();
        if (topicName) {
          await pubSubClient.topic(topicName).delete();
        }
      }
    },
  },
  async run(event) {
    const {
      data,
      messageId,
      publishTime,
    } = event.body.message;

    if (!data) {
      console.warn("No message present, exiting");
      return;
    }
    const dataString = Buffer.from(data, "base64").toString("utf-8");
    const metadata = {
      id: messageId,
      summary: dataString,
      ts: +new Date(publishTime),
    };

    let dataObj;
    try {
      dataObj = JSON.parse(dataString);
    } catch (err) {
      console.error(
        `Couldn't parse message as JSON. Emitting raw message. Error: ${err}`,
      );
      dataObj = {
        rawMessage: dataString,
      };
    }
    this.$emit(dataObj, metadata);
  },
};

Trigger Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.

Label	Prop	Type	Description
Google Cloud	`googleCloud`	`app`	This component uses the Google Cloud app.
N/A	`http`	`$.interface.http`	This component uses `$.interface.http` to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the `run()` method of the component.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Type	`topicType`	`string`	Select a value from the drop down menu:`existingnew`

Trigger Authentication#

Google Cloud uses API keys for authentication. When you connect your Google Cloud account, Pipedream securely stores the keys so you can easily authenticate to Google Cloud APIs in both code and no-code steps.

Create a service account in GCP and set the permissions you need for Pipedream workflows.
Generate a service account key
Download the key details in JSON format
Upload the key below.

About Google Cloud#

The Google Cloud Platform, including BigQuery

Action#

Fetch Vectors on Pinecone

Description:Looks up and returns vectors by ID, from a single namespace.. [See the documentation](https://docs.pinecone.io/reference/api/data-plane/fetch).

Version:0.0.2

Key:pinecone-fetch-vectors

View on GitHub

Pinecone Overview#

The Pinecone API enables you to work with vector databases, which are essential for building and scaling applications with AI features like recommendation systems, image recognition, and natural language processing. On Pipedream, you can create serverless workflows integrating Pinecone with other apps, automate data ingestion, query vector databases in response to events, and orchestrate complex data processing pipelines that leverage Pinecone's similarity search.

Action Code#

import utils from "../../common/utils.mjs";
import app from "../../pinecone.app.mjs";

export default {
  key: "pinecone-fetch-vectors",
  name: "Fetch Vectors",
  description: "Looks up and returns vectors by ID, from a single namespace.. [See the documentation](https://docs.pinecone.io/reference/api/data-plane/fetch).",
  type: "action",
  version: "0.0.2",
  props: {
    app,
    indexName: {
      propDefinition: [
        app,
        "indexName",
      ],
    },
    namespace: {
      propDefinition: [
        app,
        "namespace",
      ],
    },
    ids: {
      type: "string[]",
      label: "Vector IDs",
      description: "The IDs of the vectors. E.g. `[\"vec1\", \"vec2\"]`",
      propDefinition: [
        app,
        "vectorId",
      ],
    },
  },
  methods: {
    fetchVectors(args = {}) {
      return this.app.makeRequest({
        path: "/vectors/fetch",
        ...args,
      });
    },
  },
  async run({ $: step }) {
    const {
      fetchVectors,
      indexName,
      ids,
      namespace,
    } = this;

    const response = await fetchVectors({
      step,
      indexName,
      params: {
        ids: utils.parseArray(ids),
        namespace,
      },
    });

    step.export("$summary", `Successfully fetched \`${Object.keys(response.vectors).length}\` vector(s).`);

    return response;
  },
};

Action Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

Label	Prop	Type	Description
Pinecone	`app`	`app`	This component uses the Pinecone app.
Index Name	`indexName`	`string`	Select a value from the drop down menu.
Namespace	`namespace`	`string`	The namespace to use.
Vector IDs	`ids`	`string[]`	The IDs of the vectors. E.g. `["vec1", "vec2"]`

Action Authentication#

Pinecone uses API keys for authentication. When you connect your Pinecone account, Pipedream securely stores the keys so you can easily authenticate to Pinecone APIs in both code and no-code steps.

To connect your Pinecone account to Pipedream,