← npm + Qdrant integrations

Search Points with Qdrant API on New Download Counts from npm API

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New Download Counts from the npm API
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Search Points with the Qdrant API
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Getting Started

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

  1. Select this integration
  2. Configure the New Download Counts trigger
    1. Connect your npm account
    2. Configure timer
    3. Select a Period
    4. Optional- Configure Package
  3. Configure the Search Points action
    1. Connect your Qdrant account
    2. Select a Collection Name
    3. Configure Vector
    4. Optional- Configure Points Filter
    5. Optional- Configure Search Limit
    6. Optional- Configure With Payload
    7. Optional- Configure With Vector
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. 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

Description:Emit new event with the latest count of downloads for an npm package. [See the documentation](https://github.com/npm/registry/blob/main/docs/download-counts.md).
Version:0.1.0
Key:npm-download-counts

Trigger Code

import app from "../../npm.app.mjs";

export default {
  key: "npm-download-counts",
  name: "New Download Counts",
  description: "Emit new event with the latest count of downloads for an npm package. [See the documentation](https://github.com/npm/registry/blob/main/docs/download-counts.md).",
  version: "0.1.0",
  type: "source",
  props: {
    app,
    db: "$.service.db",
    timer: {
      type: "$.interface.timer",
      description: "One day interval time is recommended because NPM only update metrics once a day. [See the documentation](https://github.com/npm/registry/blob/main/docs/download-counts.md#data-source).",
      default: {
        intervalSeconds: 60 * 60 * 24,
      },
    },
    period: {
      type: "string",
      label: "Period",
      description: "Select last-day, last-week or last-month.",
      optional: false,
      default: "last-day",
      options: [
        "last-day",
        "last-week",
        "last-month",
      ],
    },
    packageName: {
      type: "string",
      label: "Package",
      description: "Enter an npm package name. Leave blank for all",
      optional: true,
    },
  },
  methods: {
    getDownloadCounts({
      period, packageName, ...args
    } = {}) {
      const basePath = `/downloads/point/${encodeURIComponent(period)}`;
      return this.app.makeRequest({
        path: packageName
          ? `${basePath}/${encodeURIComponent(packageName)}`
          : basePath,
        ...args,
      });
    },
  },
  async run({ timestamp: ts }) {
    const {
      getDownloadCounts,
      period,
      packageName,
    } = this;

    const response = await getDownloadCounts({
      period,
      packageName,
    });

    this.$emit(response, {
      id: ts,
      summary: `New Download Count ${response.downloads}`,
      ts,
    });
  },
};

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.
LabelPropTypeDescription
npmappappThis component uses the npm app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
timer$.interface.timer

One day interval time is recommended because NPM only update metrics once a day. See the documentation.

PeriodperiodstringSelect a value from the drop down menu:last-daylast-weeklast-month
PackagepackageNamestring

Enter an npm package name. Leave blank for all

Trigger Authentication

The npm API does not require authentication.

About npm

Node package manager

Action

Description:Performs a semantic search on the Qdrant collection.
Version:0.0.2
Key:qdrant-search-points

Qdrant Overview

Qdrant - https://qdrant.tech/ is a high-performance vector search-engine/database.

Action Code

import app from "../../qdrant.app.mjs";
import utils from "../../common/utils.mjs";
import { QdrantClient } from "@qdrant/js-client-rest";

export default {
  key: "qdrant-search-points",
  name: "Search Points",
  description: "Performs a semantic search on the Qdrant collection.",
  type: "action",
  version: "0.0.2",
  props: {
    app,
    collectionName: {
      propDefinition: [
        app,
        "collectionName",
      ],
    },
    vector: {
      optional: false,
      propDefinition: [
        app,
        "vector",
      ],
    },
    filter: {
      propDefinition: [
        app,
        "filter",
      ],
    },
    limit: {
      type: "integer",
      label: "Search Limit",
      description: "The maximum number of points to return.",
      optional: true,
      default: 10,
    },
    withPayload: {
      propDefinition: [
        app,
        "withPayload",
      ],
    },
    withVector: {
      propDefinition: [
        app,
        "withVector",
      ],
    },
  },
  methods: {
    searchPoints(collectionName, {
      vector, filter, limit, withPayload, withVector,
    }) {

      const client = new QdrantClient(this.app.getCredentials());

      return client.query(collectionName, {
        filter,
        limit,
        query: vector,
        with_payload: withPayload,
        with_vector: withVector,
      });

    },
  },
  async run({ $: step }) {
    const {
      collectionName, vector, filter, withPayload, withVector, limit, searchPoints,
    } = this;

    const response = await searchPoints(
      collectionName,
      {
        vector: utils.parseVector(vector),
        filter: utils.parse(filter),
        limit: parseInt(limit),
        withPayload,
        withVector,
      },
    );

    step.export("$summary", "Successfully searched the collection");

    return response.points;
  },
};

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.

LabelPropTypeDescription
QdrantappappThis component uses the Qdrant app.
Collection NamecollectionNamestringSelect a value from the drop down menu.
Vectorvectorstring[]

The vector embeddings.

Points Filterfilterobject

Filter to apply in queries. Documentation`

Search Limitlimitinteger

The maximum number of points to return.

With PayloadwithPayloadboolean

Whether to include the payload in the response.

With VectorwithVectorboolean

Whether to include the vector in the response.

Action Authentication

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

To retrieve your API Key and URL,

  • Navigate to your Qdrant account and sign in
  • Go to “Dashboard” > “Data Access Control”
  • Hit "Create"

Your API Key will be displayed alognside a curl command. Extract the URL from the curl command displayed, e.g. for

curl -X GET 'https://1234.cloud.qdrant.io:6333'  --header 'api-key: x'

the URL is https://1234.cloud.qdrant.io:6333'.

About Qdrant

Powering the next generation of AI applications with advanced, open-source vector similarity search technology.

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