Search Rows with TimeTonic API on New Row from Snowflake API

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Trigger workflow on

New Row from the Snowflake API

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Search Rows with the TimeTonic API

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Getting Started#

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

Select this integration
Configure the New Row trigger
1. Connect your Snowflake account
2. Configure timer
3. Select a Database
4. Select a Schema
5. Select a Table Name
6. Select a Unique Key
7. Optional- Configure Emit individual events
Configure the Search Rows action
1. Connect your TimeTonic account
2. Select a Book Code
3. Select a Table ID
4. Select a Field ID
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 Row on Snowflake

Description:Emit new event when a row is added to a table

Version:0.2.2

Key:snowflake-new-row

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-table-scan.mjs";

export default {
  ...common,
  type: "source",
  key: "snowflake-new-row",
  name: "New Row",
  description: "Emit new event when a row is added to a table",
  version: "0.2.2",
  methods: {
    ...common.methods,
    async getStatement(lastResultId) {
      const sqlText = `
        SELECT *
        FROM IDENTIFIER(:1)
        WHERE ${this.uniqueKey} > :2
        ORDER BY ${this.uniqueKey} ASC
      `;
      const binds = [
        this.tableName,
        lastResultId,
      ];
      return {
        sqlText,
        binds,
      };
    },
  },
};

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
Database	`database`	`string`	Select a value from the drop down menu.
Schema	`schema`	`string`	Select a value from the drop down menu.
Table Name	`tableName`	`string`	Select a value from the drop down menu.
Unique Key	`uniqueKey`	`string`	Select a value from the drop down menu.
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#

Search Rows on TimeTonic

Description:Perform a search across table rows based on given criteria. [See the documentation](https://timetonic.com/live/apidoc/#api-Smart_table_operations-listTableRowsById)

Version:0.0.1

Key:timetonic-search-rows

View on GitHub

TimeTonic Overview#

TimeTonic API on Pipedream allows you to automate workflows involving project management and data organization. With TimeTonic, you can create, update, retrieve, and manage databases and tables dynamically, ideal for businesses looking to streamline operations like task tracking, inventory management, and team collaboration. Leveraging Pipedream's capabilities, you can integrate TimeTonic with numerous other apps to automate data flow across platforms, trigger actions based on specific conditions, and maintain real-time synchronization of business operations.

Action Code#

import timetonic from "../../timetonic.app.mjs";
import constants from "../../common/constants.mjs";

export default {
  key: "timetonic-search-rows",
  name: "Search Rows",
  description: "Perform a search across table rows based on given criteria. [See the documentation](https://timetonic.com/live/apidoc/#api-Smart_table_operations-listTableRowsById)",
  version: "0.0.1",
  type: "action",
  props: {
    timetonic,
    bookCode: {
      propDefinition: [
        timetonic,
        "bookCode",
      ],
    },
    tableId: {
      propDefinition: [
        timetonic,
        "tableId",
        (c) => ({
          bookCode: c.bookCode,
        }),
      ],
    },
    searchField: {
      propDefinition: [
        timetonic,
        "fieldId",
        (c) => ({
          bookCode: c.bookCode,
          tableId: c.tableId,
        }),
      ],
      reloadProps: true,
    },
  },
  async additionalProps() {
    const props = {};
    if (!this.searchField || !this.bookCode || !this.tableId) {
      return props;
    }
    const { tableValues: { fields } } = await this.timetonic.getTableValues({
      params: {
        catId: this.tableId,
        b_c: this.bookCode,
      },
    });
    const field = fields.find(({ id }) => id === this.searchField);
    props.searchValue = {
      type: constants.FIELD_TYPES[field.type] || "string",
      label: "Search Value",
      description: "The value to search for",
    };
    if (field.type === "link") {
      props.searchValue.description = `Please enter the Row ID from ${field.link.category.name} to link to`;
    }
    return props;
  },
  methods: {
    findMatches(fields) {
      const field = fields.find(({ id }) => id === this.searchField);
      let matches;
      if (field.type === "link") {
        matches = field.values.filter(({ value }) =>
          value?.length && value.find((link) => link.row_id == this.searchValue));
      } else {
        matches = field.values.filter(({ value }) => value == this.searchValue);
      }
      return matches.map(({ id }) => id);
    },
    buildRow(fields, matches) {
      const rows = [];
      matches.forEach((match) => {
        const row = {};
        fields.forEach((field) => {
          row[field.name] = field.values.find(({ id }) => id === match).value;
        });
        rows.push(row);
      });
      return rows;
    },
  },
  async run({ $ }) {
    const { tableValues: { fields } } = await this.timetonic.getTableValues({
      $,
      params: {
        catId: this.tableId,
        b_c: this.bookCode,
      },
    });
    const matches = this.findMatches(fields);
    const rows = this.buildRow(fields, matches);
    $.export("$summary", `Found ${rows.length} matching row${rows.length === 1
      ? ""
      : "s"}`);
    return rows;
  },
};

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
TimeTonic	`timetonic`	`app`	This component uses the TimeTonic app.
Book Code	`bookCode`	`string`	Select a value from the drop down menu.
Table ID	`tableId`	`string`	Select a value from the drop down menu.
Field ID	`searchField`	`integer`	Select a value from the drop down menu.

Action Authentication#

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

About TimeTonic#

Unlock the full potential of your business with TimeTonic's powerful NoCode platform. Centralize information, custom create collaborative business apps and automate workflows to seamlessly connect your data, teams and processes for improved efficiency and productivity.

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