Formatting - [Text] Extract by Regular Expressions List (Regex) with Pipedream Utils API on New Row Custom Query from PostgreSQL API

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New Row Custom Query from the PostgreSQL API

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Formatting - [Text] Extract by Regular Expressions List (Regex) with the Pipedream Utils API

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Getting Started#

This integration creates a workflow with a PostgreSQL trigger and Pipedream Utils 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 Custom Query trigger
1. Connect your PostgreSQL account
2. Configure Polling Interval
3. Select a Schema
4. Select a Table
5. Select a Column
6. Configure SQL Query
7. Optional- Configure Values
Configure the Formatting - [Text] Extract by Regular Expressions List (Regex) action
1. Connect your Pipedream Utils account
2. Configure alert
3. Configure Key
4. Configure Input
5. Configure Regular Expression
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 Custom Query on PostgreSQL

Description:Emit new event when new rows are returned from a custom query that you provide. [See the documentation](https://node-postgres.com/features/queries)

Version:2.0.8

Key:postgresql-new-row-custom-query

View on GitHub

PostgreSQL Overview#

On Pipedream, you can leverage the PostgreSQL app to create workflows that automate database operations, synchronize data across platforms, and react to database events in real-time. Think handling new row entries, updating records from webhooks, or even compiling reports on a set schedule. Pipedream's serverless platform provides a powerful way to connect PostgreSQL with a variety of apps, enabling you to create tailored automation that fits your specific needs.

Trigger Code#

import common from "../common.mjs"; export default { ...common, name: "New Row Custom Query", key: "postgresql-new-row-custom-query", description: "Emit new event when new rows are returned from a custom query that you provide. [See the documentation](https://node-postgres.com/features/queries)", version: "2.0.8", type: "source", dedupe: "unique", props: { ...common.props, schema: { propDefinition: [ common.props.postgresql, "schema", ], }, table: { propDefinition: [ common.props.postgresql, "table", (c) => ({ schema: c.schema, }), ], }, column: { propDefinition: [ common.props.postgresql, "column", (c) => ({ table: c.table, schema: c.schema, }), ], }, query: { propDefinition: [ common.props.postgresql, "query", ], description: "Specify the query to select new or updated rows since the last poll. For example, `SELECT * FROM users WHERE country = 'US'`", }, values: { propDefinition: [ common.props.postgresql, "values", ], }, }, hooks: { async deploy() { if (this.values && !Array.isArray(this.values)) { throw new Error("No valid values provided. The values property must be an array."); } const numberOfValues = this.query?.match(/\$/g)?.length || 0; if (this.values && this.values.length !== numberOfValues) { throw new Error("The number of values provided does not match the number of values in the query."); } const isColumnUnique = await this.isColumnUnique(this.schema, this.table, this.column); if (!isColumnUnique) { throw new Error("The column selected contains duplicate values. Column must be unique"); } }, }, methods: { ...common.methods, generateMeta(row, column) { return { id: row[column], summary: "New Row", ts: Date.now(), }; }, }, async run() { const rows = await this.postgresql.executeQuery({ text: this.query, values: this.values, }); for (const row of rows) { const meta = this.generateMeta(row, this.column); this.$emit(row, meta); } }, };

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
PostgreSQL	`postgresql`	`app`	This component uses the PostgreSQL app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Polling Interval	`timer`	`$.interface.timer`	Pipedream will poll the API on this schedule
Schema	`schema`	`string`	Select a value from the drop down menu.
Table	`table`	`string`	Select a value from the drop down menu.
Column	`column`	`string`	Select a value from the drop down menu.
SQL Query	`query`	`string`	Specify the query to select new or updated rows since the last poll. For example, `SELECT * FROM users WHERE country = 'US'`
Values	`values`	`string[]`	List of values represented in your SQL Query above

Trigger Authentication#

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

Connecting to Restricted Databases

Either enable the shared static IP for this account below, or configure a VPC to deploy any workflow in your workspace to a private network with a dedicated static IP. Learn more in our docs

SSL Setup

Configure SSL on your PostgreSQL database by providing the CA (Certificate Authority), and choosing between Full Verification, Verify Certificate Authority (CA), or Skip Verification. Skipping verification is not recommended as this has serious security implications

About PostgreSQL#

PostgreSQL is a free and open-source relational database management system emphasizing extensibility and SQL compliance.

Action#

Formatting - [Text] Extract by Regular Expressions List (Regex) on Pipedream Utils

Description:Find matches for regular expressions. Returns all matched groups with start and end position.

Version:0.1.2

Key:pipedream_utils-extract-by-regular-expressions-list

View on GitHub

Pipedream Utils Overview#

The Pipedream Utils app is a set of pre-built functions that streamline common tasks in your workflows. It acts like a Swiss Army knife for developers, providing essential tools such as format conversion, date manipulation, and text processing. By leveraging these functions, you can reduce the boilerplate code needed for routine operations, speeding up the development of intricate automations. The Helper Functions API can be a game changer when it comes to tasks like parsing dates in user-friendly formats, encoding and decoding data, or generating UUIDs, making them more efficient and less error-prone.

Action Code#

import buildRegExp from "../../common/text/buildRegExp.mjs"; import pipedream_utils from "../../pipedream_utils.app.mjs"; export default { name: "Formatting - [Text] Extract by Regular Expressions List (Regex)", description: "Find matches for regular expressions. Returns all matched groups with start and end position.", key: "pipedream_utils-extract-by-regular-expressions-list", version: "0.1.2", annotations: { destructiveHint: false, openWorldHint: true, readOnlyHint: true, }, type: "action", props: { pipedream_utils, alert: { type: "alert", alertType: "info", content: "Capture groups let you extract just the parts you need from regex matches.\nLearn more here: https://regexone.com/lesson/capturing_groups", }, key_0: { type: "string", label: "Key", description: "The key where the extraction result for a regex will be stored", reloadProps: true, }, input_0: { type: "string", label: "Input", description: "The text you would like to find a pattern from", }, regex_0: { type: "string", label: "Regular Expression", description: "[Regular expression](https://www.w3schools.com/js/js_regexp.asp)", }, }, additionalProps() { const props = {}; let count = 1; while (this[`key_${count}`]) { props[`key_${count}`] = { type: "string", label: "Another Key", description: "The key where the extraction result for a regex will be stored", }; props[`input_${count}`] = { type: "string", label: "Input", description: "The text you would like to find a pattern from", }; props[`regex_${count}`] = { type: "string", label: "Regular Expression", description: "[Regular expression](https://www.w3schools.com/js/js_regexp.asp)", }; count++; } props[`key_${count}`] = { type: "string", label: "Another Key", description: "The key where the extraction result for a regex will be stored", optional: true, reloadProps: true, }; return props; }, methods: { getRegExp(regExpStr) { return regExpStr.startsWith("/") ? buildRegExp(regExpStr, [ "g", ]) : regExpStr; }, getResults(input, regExpStr) { return [ ...input.matchAll(this.getRegExp(regExpStr)), ].map((match) => ({ match: match[0], startPosition: match.index, endPosition: match.index + match[0].length, })); }, }, async run() { let count = 0; const resultMap = {}; while (this[`key_${count}`]) { const input = this[`input_${count}`]; const regExpStr = this[`regex_${count}`]; const result = this.getResults(input, regExpStr); resultMap[this[`key_${count}`]] = result; count++; } return resultMap; }, };

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
Pipedream Utils	`pipedream_utils`	`app`	This component uses the Pipedream Utils app.
Key	`key_0`	`string`	The key where the extraction result for a regex will be stored
Input	`input_0`	`string`	The text you would like to find a pattern from
Regular Expression	`regex_0`	`string`	Regular expression

Action Authentication#

The Pipedream Utils API does not require authentication.

About Pipedream Utils#

Utility functions to use within your Pipedream workflows

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