Analyze Image with Imagga API on New Records in View from Airtable API

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New Records in View from the Airtable API

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Analyze Image with the Imagga API

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Getting Started#

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

Select this integration
Configure the New Records in View trigger
1. Connect your Airtable account
2. Configure timer
3. Select a Base
4. Optional- Configure Filter by Formula
5. Select a Table
6. Select a View
7. Optional- Configure Return Fields By ID
Configure the Analyze Image action
1. Connect your Imagga account
2. Configure File Path or URL
3. Select a Image Process Type
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 Records in View on Airtable

Description:Emit new event for each new record in a view

Version:0.0.13

Key:airtable_oauth-new-records-in-view

View on GitHub

Airtable Overview#

Airtable (OAuth) API on Pipedream allows you to manipulate and leverage your Airtable data in a myriad of powerful ways. Sync data between Airtable and other apps, trigger workflows on updates, or process bulk data operations asynchronously. By using Airtable's structured databases with Pipedream's serverless platform, you can craft custom automation solutions, integrate with other services seamlessly, and streamline complex data processes.

Trigger Code#

import base from "../common/common.mjs"; import moment from "moment"; export default { ...base, name: "New Records in View", description: "Emit new event for each new record in a view", key: "airtable_oauth-new-records-in-view", version: "0.0.13", type: "source", dedupe: "unique", props: { ...base.props, tableId: { propDefinition: [ base.props.airtable, "tableId", ({ baseId }) => ({ baseId, }), ], description: "The table ID to watch for changes.", }, viewId: { propDefinition: [ base.props.airtable, "viewId", ({ baseId, tableId, }) => ({ baseId, tableId, }), ], description: "The view ID to watch for changes.", }, returnFieldsByFieldId: { propDefinition: [ base.props.airtable, "returnFieldsByFieldId", ], }, }, async run() { const { baseId, tableId, viewId, } = this; const lastTimestamp = this._getLastTimestamp(); const params = this.getListRecordsParams({ view: viewId, formula: `CREATED_TIME() > "${lastTimestamp}"`, }); const records = await this.airtable.listRecords({ baseId, tableId, params, }); if (!records.length) { console.log("No new records."); return; } const metadata = { baseId, tableId, viewId, }; let maxTimestamp; let recordCount = 0; for (const record of records) { record.metadata = metadata; this.$emit(record, { ts: moment(record.createdTime).valueOf(), summary: `New record: ${record.id}`, id: record.id, }); if (!maxTimestamp || moment(record.createdTime).valueOf() > moment(maxTimestamp).valueOf()) { maxTimestamp = record.createdTime; } recordCount++; } console.log(`Emitted ${recordCount} new records(s).`); this._setLastTimestamp(maxTimestamp); }, };

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
Airtable	`airtable`	`app`	This component uses the Airtable app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`
Base	`baseId`	`string`	Select a value from the drop down menu.
Filter by Formula	`filterByFormula`	`string`	Optionally provide a formula (see info on the documentation) used to filter records. The formula will be evaluated for each record, and if the result is not `0`, `false`, `""`, `NaN`, `[]`, or `#Error!` the record will be included in the response. For example, to only include records where `Name` isn't empty, use `NOT({Name} = '')`.
Table	`tableId`	`string`	Select a value from the drop down menu.
View	`viewId`	`string`	Select a value from the drop down menu.
Return Fields By ID	`returnFieldsByFieldId`	`boolean`	If set to `true`, the returned field objects will have the field ID as the key, instead of the field name.

Trigger Authentication#

Airtable uses OAuth authentication. When you connect your Airtable account, Pipedream will open a popup window where you can sign into Airtable and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any Airtable API.

Pipedream requests the following authorization scopes when you connect your account:

data.records:readdata.records:writedata.recordComments:readdata.recordComments:writeschema.bases:readschema.bases:writewebhook:manageuser.email:read

About Airtable#

Airtable is a low-code platform to build next-gen apps. Move beyond rigid tools, operationalize your critical data, and reimagine workflows with AI.

Action#

Analyze Image on Imagga

Description:Assign a category to a single image based on its visual content. [See the documentation](https://docs.imagga.com/?shell#categories-categorizer_id)

Version:1.0.1

Key:imagga-analyze-image

View on GitHub

Imagga Overview#

The Imagga API is a powerful image recognition tool that enables you to automate the process of analyzing and tagging images. With its AI-driven capabilities, you can extract a wealth of information from visual content. It offers features such as categorization, color extraction, and auto-tagging, making it incredibly useful for building workflows that require image analysis.

Action Code#

import { prepareAdditionalProps } from "../../common/constants.mjs"; import { prepareFile } from "../../common/utils.mjs"; import imagga from "../../imagga.app.mjs"; export default { key: "imagga-analyze-image", name: "Analyze Image", description: "Assign a category to a single image based on its visual content. [See the documentation](https://docs.imagga.com/?shell#categories-categorizer_id)", version: "1.0.1", annotations: { destructiveHint: true, openWorldHint: true, readOnlyHint: false, }, type: "action", props: { imagga, imageFile: { propDefinition: [ imagga, "imageFile", ], }, imageProcessType: { propDefinition: [ imagga, "imageProcessType", ], reloadProps: true, }, }, async additionalProps() { return prepareAdditionalProps({ props: imagga.propDefinitions, type: this.imageProcessType, }); }, async run({ $ }) { const { imagga, imageFile, language = [], saveIndex, saveId, extractOverallColors, extractObjectColors, deterministic, verbose, threshold, decreaseParents, categorizerId, overallCount, separatedCount, imageProcessType, taggerId, ...params } = this; const file = await prepareFile({ imageFile, imagga, }); if (typeof extractOverallColors === "boolean") params.extract_overall_colors = +extractOverallColors; if (typeof extractObjectColors === "boolean") params.extract_object_colors = +extractObjectColors; if (typeof deterministic === "boolean") params.deterministic = +deterministic; if (typeof verbose === "boolean") params.verbose = +verbose; if (typeof decreaseParents === "boolean") params["decrease_parents"] = +decreaseParents; if (threshold) params.threshold = parseFloat(threshold); const response = await imagga.analyzeImage({ $, taggerId, imageProcessType, categorizerId, params: { ...params, ...file, overall_count: overallCount, separated_count: separatedCount, language: language.toString(), save_index: saveIndex, save_id: saveId, }, }); $.export("$summary", "Image successfully assigned!"); 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
Imagga	`imagga`	`app`	This component uses the Imagga app.
File Path or URL	`imageFile`	`string`	The image to process. Provide either a file URL or a path to a file in the `/tmp` directory (for example, `/tmp/myFile.txt`)
Image Process Type	`imageProcessType`	`string`	Select a value from the drop down menu:`{ "label": "Tags", "value": "tags" }{ "label": "Categories", "value": "categories" }{ "label": "Colors", "value": "colors" }`

Analyze Image with Imagga API on New Records in View from Airtable API

Pipedream makes it easy to connect APIs for Imagga, Airtable and 2,800+ other apps remarkably fast.

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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