Create Bug with Zoho BugTracker API on New Query Results from Snowflake API

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Trigger workflow on

New Query Results from the Snowflake API

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Create Bug with the Zoho BugTracker API

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Getting Started#

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

Select this integration
Configure the New Query Results trigger
1. Connect your Snowflake account
2. Configure timer
3. Configure SQL Query
4. Optional- Configure Primary key
5. Optional- Configure Emit individual events
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
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 Query Results on Snowflake

Description:Run a SQL query on a schedule, triggering a workflow for each row of results

Version:0.2.2

Key:snowflake-query-results

View on GitHub

Snowflake Overview#

Snowflake offers a cloud database and related tools to help developers create robust, secure, and scalable data warehouses. See Snowflake's Key Concepts & Architecture.

Getting Started

1. Create a user, role and warehouse in Snowflake

Snowflake recommends you create a new user, role, and warehouse when you integrate a third-party tool like Pipedream. This way, you can control permissions via the user / role, and separate Pipedream compute and costs with the warehouse. You can do this directly in the Snowflake UI.

We recommend you create a read-only account if you only need to query Snowflake. If you need to insert data into Snowflake, add permissions on the appropriate objects after you create your user.

2. Enter those details in Pipedream

Visit https://pipedream.com/accounts. Click the button to Connect an App. Enter the required Snowflake account data.

You'll only need to connect your account once in Pipedream. You can connect this account to multiple workflows to run queries against Snowflake, insert data, and more.

3. Build your first workflow

Visit https://pipedream.com/new to build your first workflow. Pipedream workflows let you connect Snowflake with 1,000+ other apps. You can trigger workflows on Snowflake queries, sending results to Slack, Google Sheets, or any app that exposes an API. Or you can accept data from another app, transform it with Python, Node.js, Go or Bash code, and insert it into Snowflake.

Learn more at Pipedream University.

Trigger Code#

import common from "../common.mjs";
import { v4 as uuidv4 } from "uuid";

export default {
  ...common,
  type: "source",
  key: "snowflake-query-results",
  name: "New Query Results",
  // eslint-disable-next-line
  description: "Run a SQL query on a schedule, triggering a workflow for each row of results",
  version: "0.2.2",
  props: {
    ...common.props,
    sqlQuery: {
      type: "string",
      label: "SQL Query",
      description: "Run this query on a schedule, triggering the workflow for each row of results",
    },
    // Ordering props correctly
    timer: common.props.timer,
    dedupeKey: {
      type: "string",
      label: "Primary key",
      description: "The column in your query to use for de-duplication. Duplicate rows won't trigger your workflow",
      optional: true,
    },
    emitIndividualEvents: {
      propDefinition: [
        common.props.snowflake,
        "emitIndividualEvents",
      ],
    },
  },
  methods: {
    ...common.methods,
    generateMeta(data) {
      const {
        row: { [this.dedupeKey]: id = uuidv4() },
        timestamp: ts,
      } = data;
      const summary = `New event (ID: ${id})`;
      return {
        id,
        summary,
        ts,
      };
    },
    generateMetaForCollection(data) {
      const { timestamp: ts } = data;
      const id = uuidv4();
      const summary = `New event (ID: ${id})`;
      return {
        id,
        summary,
        ts,
      };
    },
    getStatement() {
      return {
        sqlText: this.sqlQuery,
      };
    },
  },
};

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
Snowflake	`snowflake`	`app`	This component uses the Snowflake app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`	Watch for changes on this schedule
SQL Query	`sqlQuery`	`string`	Run this query on a schedule, triggering the workflow for each row of results
Primary key	`dedupeKey`	`string`	The column in your query to use for de-duplication. Duplicate rows won't trigger your workflow
Emit individual events	`emitIndividualEvents`	`boolean`	Defaults to `true`, triggering workflows on each record in the result set. Set to `false` to emit records in batch (advanced)

Trigger Authentication#

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

We recommend you create a read-only account if you only need to query Snowflake. If you need to insert data into Snowflake, add permissions on the appropriate objects after you create your user.

About Snowflake#

A data warehouse built for the cloud

Action#

Create Bug on Zoho BugTracker

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

View on GitHub

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.

Label	Prop	Type	Description
Zoho BugTracker	`zohoBugtracker`	`app`	This component uses the Zoho BugTracker app.
Portal Id	`portalId`	`string`	Select a value from the drop down menu.
Project Id	`projectId`	`string`	Select a value from the drop down menu.
Title	`title`	`string`	Name of the bug
Description	`description`	`string`	Description of the bug.
Assignee	`assignee`	`string`	Select a value from the drop down menu.
Flag	`flag`	`string`	Select a value from the drop down menu:`InternalExternal`
Classification Id	`classificationId`	`string`	Select a value from the drop down menu.
Milestone Id	`milestoneId`	`string`	Select a value from the drop down menu.
Due Date	`dueDate`	`string`	Due date of the bug. Format MM-DD-YYYY
Module Id	`moduleId`	`string`	Select a value from the drop down menu.
Severity Id	`severityId`	`string`	Select a value from the drop down menu.
Reproducible Id	`reproducibleId`	`string`	Select a value from the drop down menu.
Affected Milestone Id	`affectedMileId`	`string`	Select a value from the drop down menu.
Bug Followers	`bugFollowers`	`string`	Select a value from the drop down menu.
Upload Doc	`uploaddoc`	`string`	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