← AWS + Zoho BugTracker integrations

Create Bug with Zoho BugTracker 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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Getting Started

This integration creates a workflow with a AWS trigger and Zoho BugTracker 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 Bug action
    1. Connect your Zoho BugTracker account
    2. Select a Portal Id
    3. Select a Project Id
    4. Configure Title
    5. Optional- Configure Description
    6. Optional- Select a Assignee
    7. Optional- Select a Flag
    8. Optional- Select a Classification Id
    9. Optional- Select a Milestone Id
    10. Optional- Configure Due Date
    11. Optional- Select a Module Id
    12. Optional- Select a Severity Id
    13. Optional- Select a Reproducible Id
    14. Optional- Select a Affected Milestone Id
    15. Optional- Select a Bug Followers
    16. Optional- Configure Upload Doc
  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:Create a new bug [See the documentation](https://www.zoho.com/projects/help/rest-api/bugtracker-bugs-api.html#alink3)
Version:0.0.1
Key:zoho_bugtracker-create-bug

Zoho BugTracker Overview

The Zoho BugTracker API allows you to interact programmatically with Zoho BugTracker, a tool designed for tracking and fixing bugs in your software projects. With this API, you can create, read, update, and delete information related to bugs, projects, users, and more. On Pipedream, you can harness this API to automate workflows, sync data across apps, and optimize bug management processes. Whether it's triggering actions based on bug updates or collating bug reports for analysis, Pipedream’s serverless platform simplifies integrating Zoho BugTracker with hundreds of other apps for seamless automation.

Action Code

import FormData from "form-data";
import fs from "fs";
import {
  clearObj, getUploadContentType,
} from "../../common/utils.mjs";
import zohoBugtracker from "../../zoho_bugtracker.app.mjs";

export default {
  key: "zoho_bugtracker-create-bug",
  name: "Create Bug",
  version: "0.0.1",
  description: "Create a new bug [See the documentation](https://www.zoho.com/projects/help/rest-api/bugtracker-bugs-api.html#alink3)",
  type: "action",
  props: {
    zohoBugtracker,
    portalId: {
      propDefinition: [
        zohoBugtracker,
        "portalId",
      ],
    },
    projectId: {
      propDefinition: [
        zohoBugtracker,
        "projectId",
        ({ portalId }) => ({
          portalId,
        }),
      ],
    },
    title: {
      propDefinition: [
        zohoBugtracker,
        "title",
      ],
    },
    description: {
      propDefinition: [
        zohoBugtracker,
        "description",
      ],
      optional: true,
    },
    assignee: {
      propDefinition: [
        zohoBugtracker,
        "assignee",
        ({
          portalId, projectId,
        }) => ({
          portalId,
          projectId,
        }),
      ],
      optional: true,
    },
    flag: {
      propDefinition: [
        zohoBugtracker,
        "flag",
      ],
      optional: true,
    },
    classificationId: {
      propDefinition: [
        zohoBugtracker,
        "classificationId",
        ({
          portalId, projectId,
        }) => ({
          portalId,
          projectId,
        }),
      ],
      optional: true,
    },
    milestoneId: {
      propDefinition: [
        zohoBugtracker,
        "milestoneId",
        ({
          portalId, projectId,
        }) => ({
          portalId,
          projectId,
        }),
      ],
      optional: true,
    },
    dueDate: {
      type: "string",
      label: "Due Date",
      description: "Due date of the bug. **Format MM-DD-YYYY**",
      optional: true,
    },
    moduleId: {
      propDefinition: [
        zohoBugtracker,
        "moduleId",
        ({
          portalId, projectId,
        }) => ({
          portalId,
          projectId,
        }),
      ],
      optional: true,
    },
    severityId: {
      propDefinition: [
        zohoBugtracker,
        "severityId",
        ({
          portalId, projectId,
        }) => ({
          portalId,
          projectId,
        }),
      ],
      optional: true,
    },
    reproducibleId: {
      propDefinition: [
        zohoBugtracker,
        "reproducibleId",
        ({
          portalId, projectId,
        }) => ({
          portalId,
          projectId,
        }),
      ],
      optional: true,
    },
    affectedMileId: {
      propDefinition: [
        zohoBugtracker,
        "milestoneId",
        ({
          portalId, projectId,
        }) => ({
          portalId,
          projectId,
        }),
      ],
      label: "Affected Milestone Id",
      optional: true,
    },
    bugFollowers: {
      propDefinition: [
        zohoBugtracker,
        "bugFollowers",
        ({
          portalId, projectId,
        }) => ({
          portalId,
          projectId,
        }),
      ],
      optional: true,
    },
    uploaddoc: {
      propDefinition: [
        zohoBugtracker,
        "uploaddoc",
      ],
      optional: true,
    },
  },
  async run({ $ }) {
    const {
      zohoBugtracker,
      portalId,
      projectId,
      milestoneId,
      dueDate,
      affectedMileId,
      bugFollowers,
      classificationId,
      moduleId,
      severityId,
      reproducibleId,
      uploaddoc,
      ...data
    } = this;

    const formData = new FormData();
    const preData = clearObj({
      ...data,
      classification_id: classificationId,
      milestone_id: milestoneId,
      due_date: dueDate,
      module_id: moduleId,
      severity_id: severityId,
      reproducible_id: reproducibleId,
      affectedMile_id: affectedMileId,
      bug_followers: bugFollowers,
    });

    for (const [
      key,
      value,
    ] of Object.entries(preData)) {
      formData.append(key, value);
    }

    if (uploaddoc) {

      const file = fs.createReadStream(uploaddoc);
      const filename = uploaddoc.split("/").pop();

      formData.append("uploaddoc", file, {
        header: [
          `Content-Disposition: form-data; name="uploaddoc"; filename="${filename}"`,
          `Content-Type: ${getUploadContentType(filename)}`,
        ],
      });
    }

    const response = await zohoBugtracker.createBug({
      $,
      portalId,
      projectId,
      data: formData,
      headers: {
        "Content-Type": `multipart/form-data; boundary=${formData._boundary}`,
      },
    });

    $.export("$summary", `A new bug with Id: ${response.bugs[0].id} was successfully created!`);
    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.

LabelPropTypeDescription
Zoho BugTrackerzohoBugtrackerappThis component uses the Zoho BugTracker app.
Portal IdportalIdstringSelect a value from the drop down menu.
Project IdprojectIdstringSelect a value from the drop down menu.
Titletitlestring

Name of the bug

Descriptiondescriptionstring

Description of the bug.

AssigneeassigneestringSelect a value from the drop down menu.
FlagflagstringSelect a value from the drop down menu:InternalExternal
Classification IdclassificationIdstringSelect a value from the drop down menu.
Milestone IdmilestoneIdstringSelect a value from the drop down menu.
Due DatedueDatestring

Due date of the bug. Format MM-DD-YYYY

Module IdmoduleIdstringSelect a value from the drop down menu.
Severity IdseverityIdstringSelect a value from the drop down menu.
Reproducible IdreproducibleIdstringSelect a value from the drop down menu.
Affected Milestone IdaffectedMileIdstringSelect a value from the drop down menu.
Bug FollowersbugFollowersstringSelect a value from the drop down menu.
Upload Docuploaddocstring

Please configure Zoho Drive integration to enable attachment for your Zoho BugTracker. The maximum size to upload a file is 128 MB. The path to the image file saved to the /tmp directory (e.g. /tmp/image.png). see docs here.

Action Authentication

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

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

ZohoBugTracker.bugs.READZohoBugTracker.bugs.CREATEZohoBugTracker.bugs.UPDATEZohoBugTracker.projects.READZohoBugTracker.users.READZohoBugTracker.portals.READZohoProjects.portals.READZohoBugTracker.milestones.READ

About Zoho BugTracker

Zoho BugTracker is an online bug tracker and issue tracking software that helps you to track and fix bugs quickly.

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