Generate Component Code with Pipedream API on New Row Created from Coda API

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New Row Created from the Coda API

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Generate Component Code with the Pipedream API

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Getting Started#

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

Select this integration
Configure the New Row Created trigger
1. Connect your Coda account
2. Configure timer
3. Select a Doc ID
4. Select a Table ID
5. Optional- Configure Include Updated Rows
Configure the Generate Component Code action
1. Connect your Pipedream account
2. Configure Prompt
3. Optional- Configure App
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 Row Created on Coda

Description:Emit new event for every created / updated row in a table. [See the documentation.](https://coda.io/developers/apis/v1#tag/Rows/operation/listRows)

Version:0.0.4

Key:coda-row-created

View on GitHub

Coda Overview#

The Coda API enables you to interact with your Coda docs for both data retrieval and manipulation. By leveraging this API on Pipedream, you can automate document updates, synchronize data across different platforms, orchestrate complex workflows, and react to changes in real-time. Coda’s tables can act as dynamic databases that interconnect with various services, allowing you to streamline operations that depend on the timely and accurate exchange of information.

Trigger Code#

import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";
import coda from "../../coda.app.mjs";

export default {
  key: "coda-row-created",
  name: "New Row Created",
  description: "Emit new event for every created / updated row in a table. [See the documentation.](https://coda.io/developers/apis/v1#tag/Rows/operation/listRows)",
  type: "source",
  version: "0.0.4",
  dedupe: "unique",
  props: {
    coda,
    db: "$.service.db",
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
    docId: {
      propDefinition: [
        coda,
        "docId",
      ],
    },
    tableId: {
      propDefinition: [
        coda,
        "tableId",
        (c) => ({
          docId: c.docId,
        }),
      ],
    },
    includeUpdates: {
      type: "boolean",
      label: "Include Updated Rows",
      description: "Emit events for updates on existing rows?",
      optional: true,
    },
  },
  hooks: {
    async deploy() {
      const rows = await this.fetchRows(25);
      this.emitEvents(rows.reverse());
    },
  },
  methods: {
    _getLastTs() {
      return this.db.get("lastTs") || 0;
    },
    _setLastTs(lastTs) {
      this.db.set("lastTs", lastTs);
    },
    getTsKey() {
      return this.includeUpdates
        ? "updatedAt"
        : "createdAt";
    },
    async fetchRows(maxResults) {
      const rows = [];
      const tsKey = this.getTsKey();
      const lastTs = this._getLastTs();
      let maxTs = lastTs;
      let done = false;

      const params = {
        sortBy: tsKey,
      };

      while (true) {
        const {
          items = [],
          nextPageToken,
        } = await this.coda.findRow(
          null,
          this.docId,
          this.tableId,
          params,
        );
        for (const item of items) {
          const ts = Date.parse(item[tsKey]);
          if (ts > lastTs) {
            rows.push(item);
            if (ts > maxTs) {
              maxTs = ts;
            }
            if (rows.length >= maxResults) {
              done = true;
              break;
            }
          }
          else {
            done = true;
          }
        }
        params.pageToken = nextPageToken;

        if (!nextPageToken || done) {
          this._setLastTs(maxTs);
          return rows;
        }
      }
    },
    rowSummary(row) {
      const name = row.name && ` - ${row.name}` || "";
      return `Row index: ${row.index}` + name;
    },
    emitEvents(events) {
      for (const row of events) {
        const id = this.includeUpdates
          ? `${row.id}-${row.updatedAt}`
          : row.id;

        this.$emit(row, {
          id,
          summary: this.rowSummary(row),
          ts: row.updatedAt,
        });
      }
    },
  },
  async run() {
    const rows = await this.fetchRows();
    this.emitEvents(rows.reverse());
  },
};

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
Coda	`coda`	`app`	This component uses the Coda app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`
Doc ID	`docId`	`string`	Select a value from the drop down menu.
Table ID	`tableId`	`string`	Select a value from the drop down menu.
Include Updated Rows	`includeUpdates`	`boolean`	Emit events for updates on existing rows?

Trigger Authentication#

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

About Coda#

Coda is familiar like a doc and engaging like an app, so your team can jump in quickly, collaborate effectively, and make decisions that stick.

Action#

Generate Component Code on Pipedream

Description:Generate component code using AI.

Version:0.0.1

Key:pipedream-generate-component-code

View on GitHub

Pipedream Overview#

Pipedream is an API that allows you to build applications that can connect to
various data sources and processes them in real-time. You can use Pipedream to
create applications that can perform ETL (Extract, Transform, and Load) tasks,
as well as to create data-driven workflows.

Some examples of applications you can build using the Pipedream API include:

An application that can extract data from a database, transform it, and then
load it into another database.
An application that can monitor a data source for changes, and then trigger a
workflow in response to those changes.
An application that can poll an API for new data, and then process that data
in real-time.

Action Code#

import pipedream from "../../pipedream.app.mjs";
import { axios } from "@pipedream/platform";

export default {
  key: "pipedream-generate-component-code",
  name: "Generate Component Code",
  description: "Generate component code using AI.",
  version: "0.0.1",
  type: "action",
  props: {
    pipedream,
    prompt: {
      type: "string",
      label: "Prompt",
      description: "The prompt that will be sent to the AI. Try to be very specific with your prompt. For example, `Send a message to Slack`.",
    },
    app: {
      type: "string",
      label: "App",
      description: "The name of the app integration that the AI model will use as context. For example, `slack`.",
      optional: true,
    },
  },
  async run({ $ }) {
    return axios($, {
      url: "https://ai.m.pipedream.net",
      method: "post",
      data: {
        prompt: this.prompt,
        app: this.app,
      },
    });
  },
};

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
Pipedream	`pipedream`	`app`	This component uses the Pipedream app.
Prompt	`prompt`	`string`	The prompt that will be sent to the AI. Try to be very specific with your prompt. For example, `Send a message to Slack`.
App	`app`	`string`	The name of the app integration that the AI model will use as context. For example, `slack`.

Action Authentication#

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

About Pipedream#

Integration platform for developers

More Ways to Connect Pipedream + Coda#

Other Popular Integrations#

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Pipedream makes it easy to connect APIs for Pipedream, Coda and 2,000+ other apps remarkably fast.

Trusted by 800,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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