Find Row with Coda API on New Uploaded File (Instant) from Uploadcare API

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New Uploaded File (Instant) from the Uploadcare API

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Find Row with the Coda API

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Getting Started#

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

Select this integration
Configure the New Uploaded File (Instant) trigger
1. Connect your Uploadcare account
Configure the Find Row action
1. Connect your Coda account
2. Select a Doc ID
3. Select a Table ID
4. Optional- Select a Column ID
5. Optional- Configure Search Query
6. Optional- Select a Sort By
7. Optional- Configure Visible Only
8. Optional- Configure Use Column Names
9. Optional- Select a Value Format
10. Optional- Configure Max Items
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 Uploaded File (Instant) on Uploadcare

Description:Emit new event on each created task.

Version:0.0.1

Key:uploadcare-new-task

View on GitHub

Uploadcare Overview#

Uploadcare is a file uploading, processing, and delivery platform that provides developers with tools to handle the entire file lifecycle with ease. With its robust API, you can upload files from any device, transform images and documents on-the-fly, and manage digital content with a comprehensive set of features. Integrating Uploadcare with Pipedream allows you to craft workflows that automate file operations and connect them seamlessly with other services, such as CRMs, marketing platforms, and data analysis tools.

Trigger Code#

import common from "../common/common.mjs";

export default {
  ...common,
  name: "New Uploaded File (Instant)",
  version: "0.0.1",
  key: "uploadcare-new-task",
  description: "Emit new event on each created task.",
  type: "source",
  dedupe: "unique",
  methods: {
    ...common.methods,
    getWebhookEventType() {
      return "file.uploaded";
    },
    async deploy() {
      const response = await this.uploadcare.getFiles({
        params: {
          limit: 10,
        },
      });

      response.results.reverse().forEach(this.emitEvent);
    },
    emitEvent(event) {
      const data = event?.data ?? event;

      this.$emit(data, {
        id: data.uuid,
        summary: `New file uploaded with id ${data.uuid}`,
        ts: new Date(),
      });
    },
  },
};

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
Uploadcare	`uploadcare`	`app`	This component uses the Uploadcare app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
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.

Trigger Authentication#

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

To retrieve your Uploadcare API key and secret,
* Navigate to your Uploadcare account and sign in
* Go to “API Keys” inside the navigation bar on the left.

About Uploadcare#

Uploadcare handles file uploads, storage, processing and delivery for the modern web. Build more, code less. Sign up at uploadcare.com to get your free API key.

Action#

Find Row on Coda

Description:Searches for a row in the selected table using a column match search. [See docs](https://coda.io/developers/apis/v1#operation/listRows)

Version:0.0.3

Key:coda-find-row

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.

Action Code#

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

export default {
  key: "coda-find-row",
  name: "Find Row",
  description: "Searches for a row in the selected table using a column match search. [See docs](https://coda.io/developers/apis/v1#operation/listRows)",
  version: "0.0.3",
  type: "action",
  props: {
    coda,
    docId: {
      propDefinition: [
        coda,
        "docId",
      ],
    },
    tableId: {
      propDefinition: [
        coda,
        "tableId",
        (c) => ({
          docId: c.docId,
        }),
      ],
    },
    columnId: {
      propDefinition: [
        coda,
        "columnId",
        (c) => ({
          docId: c.docId,
          tableId: c.tableId,
        }),
      ],
      description: "ID of the column. This field is required if querying",
      optional: true,
    },
    query: {
      propDefinition: [
        coda,
        "query",
      ],
      description: "Query used to filter returned rows",
      optional: true,
    },
    sortBy: {
      propDefinition: [
        coda,
        "sortBy",
      ],
      description: "Specifies the sort order of the rows returned. If left unspecified, rows are returned by creation time ascending",
      options: [
        "createdAt",
        "natural",
        "updatedAt",
      ],
    },
    visibleOnly: {
      propDefinition: [
        coda,
        "visibleOnly",
      ],
    },
    useColumnNames: {
      type: "boolean",
      label: "Use Column Names",
      description: "Use column names instead of column IDs in the returned output",
      optional: true,
    },
    valueFormat: {
      type: "string",
      label: "Value Format",
      description: "The format that individual cell values are returned as",
      optional: true,
      options: [
        "simple",
        "simpleWithArrays",
        "rich",
      ],
    },
    max: {
      propDefinition: [
        coda,
        "max",
      ],
    },
  },
  async run({ $ }) {
    let params = {
      sortBy: this.sortBy,
      visibleOnly: this.visibleOnly,
      useColumnNames: this.useColumnNames,
      valueFormat: this.valueFormat,
    };

    if (this.columnId && this.query) {
      params.query = `${this.columnId}:"${this.query}"`;
    }

    let items = [];
    let response;
    do {
      response = await this.coda.findRow(
        $,
        this.docId,
        this.tableId,
        params,
      );
      items.push(...response.items);
      params.pageToken = response.nextPageToken;
    } while (params.pageToken && items.length < this.max);

    if (items.length > this.max) items.length = this.max;

    if (items.length > 0) {
      $.export("$summary", `Found ${items.length} rows`);
    } else {
      $.export("$summary", `No rows found with the search query: ${this.query}`);
    }
    return {
      items,
    };
  },
};

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
Coda	`coda`	`app`	This component uses the Coda app.
Doc ID	`docId`	`string`	Select a value from the drop down menu.
Table ID	`tableId`	`string`	Select a value from the drop down menu.
Column ID	`columnId`	`string`	Select a value from the drop down menu.
Search Query	`query`	`string`	Query used to filter returned rows
Sort By	`sortBy`	`string`	Select a value from the drop down menu:`createdAtnaturalupdatedAt`
Visible Only	`visibleOnly`	`boolean`	If true, returns only visible rows and columns for the table
Use Column Names	`useColumnNames`	`boolean`	Use column names instead of column IDs in the returned output
Value Format	`valueFormat`	`string`	Select a value from the drop down menu:`simplesimpleWithArraysrich`
Max Items	`max`	`integer`	Maximum number of results to return in this query