← Hacker News + Sapling.ai integrations

Accept Completion with Sapling.ai API on New Stories by Keyword from Hacker News API

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New Stories by Keyword from the Hacker News API
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Accept Completion with the Sapling.ai API
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Getting Started

This integration creates a workflow with a Hacker News trigger and Sapling.ai 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 Stories by Keyword trigger
    1. Connect your Hacker News account
    2. Configure timer
    3. Optional- Configure Keyword
  3. Configure the Accept Completion action
    1. Connect your Sapling.ai account
    2. Configure Completion ID
    3. Optional- Configure Session ID
    4. Configure Query
    5. Configure Completion
  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 stories that mention a specific keyword
Version:0.0.4
Key:hacker_news-new-stories-by-keyword

Hacker News Overview

The Hacker News API on Pipedream allows you to tap into the vibrant pool of stories, comments, and user data from one of tech's favorite forums. By leveraging this API, you can automate the process of extracting data for analysis, tracking mentions of specific topics, or even monitoring the performance of your own submissions. The real power lies in integrating this wealth of information with other services to create custom, automated workflows that save time and keep you informed.

Trigger Code

const Parser = require("rss-parser");
const hacker_news = require("../../hacker_news.app.js");
const { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } = require("@pipedream/platform");

const parser = new Parser();

module.exports = {
  key: "hacker_news-new-stories-by-keyword",
  name: "New Stories by Keyword",
  description: "Emit new stories that mention a specific keyword",
  version: "0.0.4",
  type: "source",
  props: {
    hacker_news,
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
    db: "$.service.db",
    // If you want a single search feed but multiple keywords, separate the keywords with " OR ":
    keyword: {
      type: "string",
      label: "Keyword",
      description: "Keyword to watch. Matches story titles. Leave blank to get all stories.",
      optional: true,
      default: "",
    },
  },
  methods: {
    // in theory if alternate setting title and description or aren't unique this won't work
    itemKey(item) {
      return item.guid || item.id || item.title || item.description;
    },
  },
  async run() {
    const seenKeys = this.db.get("seenKeys") || [];
    const seenKeysMap = seenKeys.reduce((acc, v) => {
      acc[v] = true;
      return acc;
    }, {});
    // All elements of an item are optional,
    // however at least one of title or description must be present.
    // should be listed from most recent to least recent
    const feed = await parser.parseURL(`https://hnrss.org/newest?q=${encodeURIComponent(this.keyword)}`);
    for (let idx = feed.items.length - 1; idx >= 0; idx--) {
      const item = feed.items[idx];
      const key = this.itemKey(item);
      // XXX throw if !key?
      if (seenKeysMap[key]) continue;
      seenKeys.unshift(key);
      seenKeysMap[key] = true; // just in case of dupes
      this.$emit(item, {
        id: this.itemKey(item),
        summary: item.title,
        ts: item.pubdate && +new Date(item.pubdate),
      });
    }
    if (seenKeys.length) {
      // XXX restrict by byte size instead of el size
      this.db.set("seenKeys", seenKeys.slice(0, 1000));
    }
  },
};

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
Hacker Newshacker_newsappThis component uses the Hacker News app.
timer$.interface.timer
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
Keywordkeywordstring

Keyword to watch. Matches story titles. Leave blank to get all stories.

Trigger Authentication

The Hacker News API does not require authentication.

About Hacker News

Social news website

Action

Description:Have Sapling adapt its system over time. Each suggested completion has a completion UUID. You can pass this information back to Sapling to indicate the completion suggestion was helpful. [See the documentation here](https://sapling.ai/docs/api/autocomplete#accept-completion-post).
Version:0.0.1
Key:sapling_ai-accept-completion

Sapling.ai Overview

Sapling.ai offers an AI-driven writing assistant that can help you write better and faster by providing grammar and style suggestions. With its API, you can automate text analysis and correction processes within Pipedream workflows. By integrating Sapling.ai's API in Pipedream, you can create powerful automations that enhance writing quality across various applications, from customer support messages to content creation.

Action Code

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

export default {
  key: "sapling_ai-accept-completion",
  name: "Accept Completion",
  description: "Have Sapling adapt its system over time. Each suggested completion has a completion UUID. You can pass this information back to Sapling to indicate the completion suggestion was helpful. [See the documentation here](https://sapling.ai/docs/api/autocomplete#accept-completion-post).",
  type: "action",
  version: "0.0.1",
  props: {
    app,
    completionId: {
      propDefinition: [
        app,
        "completionId",
      ],
    },
    sessionId: {
      optional: true,
      propDefinition: [
        app,
        "sessionId",
      ],
    },
    query: {
      propDefinition: [
        app,
        "query",
      ],
    },
    completion: {
      type: "string",
      label: "Completion",
      description: "The completion text to accept.",
    },
  },
  methods: {
    acceptCompletion({
      completionId, ...args
    } = {}) {
      return this.app.post({
        path: `/complete/${completionId}/accept`,
        ...args,
      });
    },
  },
  async run({ $: step }) {
    const {
      completionId,
      sessionId: id,
      query,
      completion,
    } = this;

    const sessionId =  utils.generateSessionId(id);

    const response = await this.acceptCompletion({
      step,
      completionId,
      data: {
        session_id: sessionId,
        context: {
          query,
          completion,
        },
      },
    });

    step.export("$summary", `Successfully accepted completion with ID ${completionId}.`);

    return {
      ...response,
      sessionId,
    };
  },
};

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
Sapling.ai appappThis component uses the Sapling.ai app.
Completion IDcompletionIdstring

ID of completion or hash returned from a Request Completion.

Session IDsessionIdstring

Unique name or UUID of document or portion of text that is being checked.

Queryquerystring

Text that should be autocompleted.

Completioncompletionstring

The completion text to accept.

Action Authentication

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

To retrieve your API Key,

  • Navigate to your Sapling.AI account and sign in
  • Go to “User” > “Settings”> “API”

About Sapling.ai

Language models for enterprise applications.

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