← AWS + Airtable (OAuth) integrations

Create Single Record with Airtable (OAuth) API on New Records Returned by CloudWatch Logs Insights Query from AWS API

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New Records Returned by CloudWatch Logs Insights Query from the AWS API
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Create Single Record with the Airtable (OAuth) API
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Getting Started

This integration creates a workflow with a AWS trigger and Airtable (OAuth) 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 Records Returned by CloudWatch Logs Insights Query trigger
    1. Connect your AWS account
    2. Select a AWS Region
    3. Select one or more CloudWatch Log Groups
    4. Configure Logs Insights Query
    5. Optional- Configure Emit query results as a single event
    6. Configure Polling schedule
  3. Configure the Create Single Record action
    1. Connect your Airtable (OAuth) account
    2. Select a Base
    3. Select a Table
    4. Optional- Configure Typecast
    5. Optional- Configure Return Fields By Field ID
  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:Executes a CloudWatch Logs Insights query on a schedule, and emits the records as invidual events (default) or in batch
Version:0.2.2
Key:aws-new-records-returned-by-cloudwatch-logs-insights-query

AWS Overview

The AWS API unlocks endless possibilities for automation with Pipedream. With this powerful combo, you can manage your AWS services and resources, automate deployment workflows, process data, and react to events across your AWS infrastructure. Pipedream offers a serverless platform for creating workflows triggered by various events that can execute AWS SDK functions, making it an efficient tool to integrate, automate, and orchestrate tasks across AWS services and other apps.

Trigger Code

import common from "../../common/common-cloudwatch-logs.mjs";
import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";

export default {
  ...common,
  key: "aws-new-records-returned-by-cloudwatch-logs-insights-query",
  name: "New Records Returned by CloudWatch Logs Insights Query",
  // eslint-disable-next-line pipedream/source-description
  description: "Executes a CloudWatch Logs Insights query on a schedule, and emits the records as invidual events (default) or in batch",
  version: "0.2.2",
  type: "source",
  props: {
    aws: common.props.aws,
    region: common.props.region,
    db: "$.service.db",
    // eslint-disable-next-line pipedream/props-label
    logGroupNames: {
      ...common.props.logGroupName,
      type: "string[]",
      description: "The log groups you'd like to query",
    },
    queryString: {
      label: "Logs Insights Query",
      description: "The query you'd like to run. See [this AWS doc](https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/CWL_QuerySyntax.html) for help with query syntax",
      type: "string",
    },
    emitResultsInBatch: {
      type: "boolean",
      label: "Emit query results as a single event",
      description: "If `true`, all events are emitted as an array, within a single Pipedream event. If `false`, each row of results is emitted as its own event. Defaults to `true`",
      optional: true,
      default: true,
    },
    timer: {
      label: "Polling schedule",
      description: "How often you want to query CloudWatch Logs Insights for results",
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
  },
  async run() {
    const now = +new Date();
    const startTime = this.db.get("startTime") || now - 1000 * 60 * 60;

    // First, start the query
    const params = {
      queryString: this.queryString,
      startTime,
      endTime: now,
      logGroupNames: this.logGroupNames,
    };

    const { queryId } = await this.startQuery(params);

    // Then poll for its status, emitting each record as its own event when completed
    async function sleep(ms) {
      return new Promise((r) => setTimeout(r, ms));
    }

    let result, res;
    do {
      await sleep(1000);
      res = await this.getQueryResults({
        queryId,
      });
      result = res.status;
    } while (result === "Running" || result === "Scheduled");

    if (result !== "Complete") {
      throw new Error(`Query ${queryId} failed with status ${result}`);
    }

    console.log(JSON.stringify(res, null, 2));
    const { results } = res;

    if (!results || !results.length) {
      console.log("No results, exiting");
      this.db.set("startTime", now);
      return;
    }

    if (this.emitResultsInBatch === true) {
      this.$emit(results, {
        summary: JSON.stringify(results),
      });
    } else {
      for (const item of results) {
        this.$emit(item, {
          summary: JSON.stringify(item),
        });
      }
    }

    // The next time this source runs, query for data starting now
    this.db.set("startTime", now);
  },
};

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
AWSawsappThis component uses the AWS app.
AWS RegionregionstringSelect a value from the drop down menu.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
CloudWatch Log GroupslogGroupNamesstring[]Select a value from the drop down menu.
Logs Insights QueryqueryStringstring

The query you'd like to run. See this AWS doc for help with query syntax

Emit query results as a single eventemitResultsInBatchboolean

If true, all events are emitted as an array, within a single Pipedream event. If false, each row of results is emitted as its own event. Defaults to true

Polling scheduletimer$.interface.timer

How often you want to query CloudWatch Logs Insights for results

Trigger Authentication

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

Follow the AWS Instructions for creating an IAM user with an associated access and secret key.

As a best practice, attach the minimum set of IAM permissions necessary to perform the specific task in Pipedream. If your workflow only needs to perform a single API call, you should create a user and associate an IAM group / policy with permission to do only that task. You can create as many linked AWS accounts in Pipedream as you'd like.

Enter your access and secret key below.

About AWS

Amazon Web Services (AWS) offers reliable, scalable, and inexpensive cloud computing services.

Action

Description:Adds a record to a table.
Version:0.0.7
Key:airtable_oauth-create-single-record

Airtable (OAuth) 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.

Action Code

import commonActions from "../../common/actions.mjs";
import airtable from "../../airtable_oauth.app.mjs";
import common from "../common/common.mjs";

export default {
  key: "airtable_oauth-create-single-record",
  name: "Create Single Record",
  description: "Adds a record to a table.",
  version: "0.0.7",
  type: "action",
  props: {
    ...common.props,
    // eslint-disable-next-line pipedream/props-label,pipedream/props-description
    tableId: {
      ...common.props.tableId,
      reloadProps: true,
    },
    typecast: {
      propDefinition: [
        airtable,
        "typecast",
      ],
    },
    returnFieldsByFieldId: {
      propDefinition: [
        airtable,
        "returnFieldsByFieldId",
      ],
    },
  },
  async additionalProps() {
    return commonActions.additionalProps(this);
  },
  async run({ $ }) {
    return commonActions.createRecord(this, $);
  },
};

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
Airtable (OAuth)airtableappThis component uses the Airtable (OAuth) app.
BasebaseIdstringSelect a value from the drop down menu.
TabletableIdstringSelect a value from the drop down menu.
Typecasttypecastboolean

The Airtable API will perform best-effort automatic data conversion from string values if the typecast parameter is True. Automatic conversion is disabled by default to ensure data integrity, but it may be helpful for integrating with 3rd party data sources.

Return Fields By Field IDreturnFieldsByFieldIdboolean

An optional boolean value that lets you return field objects where the key is the field id. This defaults to false, which returns field objects where the key is the field name.

Action Authentication

Airtable (OAuth) uses OAuth authentication. When you connect your Airtable (OAuth) account, Pipedream will open a popup window where you can sign into Airtable (OAuth) 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 (OAuth) 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 (OAuth)

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

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