Add or Update Row with Orca Scan 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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Add or Update Row with the Orca Scan API

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Getting Started#

This integration creates a workflow with a PostgreSQL trigger and Orca Scan 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 Add or Update Row action
1. Connect your Orca Scan account
2. Select a Sheet ID
3. Configure Row Data
4. Optional- Configure Barcode
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:2.0.6

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: "2.0.6",
  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",
      ],
    },
    values: {
      propDefinition: [
        common.props.postgresql,
        "values",
      ],
    },
  },
  methods: {
    ...common.methods,
    generateMeta(row, column) {
      return {
        id: row[column],
        summary: "New Row",
        ts: Date.now(),
      };
    },
  },
  async run() {
    const {
      schema,
      table,
      column,
      query,
      values = [],
    } = this;

    if (!Array.isArray(values)) {
      throw new Error("No valid values provided. The values property must be an array.");
    }

    const numberOfValues = query?.match(/\$/g)?.length || 0;
    if (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(schema, table, column);
    if (!isColumnUnique) {
      throw new Error("The column selected contains duplicate values. Column must be unique");
    }

    const rows = await this.postgresql.executeQuery({
      text: query,
      values,
    });
    for (const row of rows) {
      const meta = this.generateMeta(row, 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`	Your custom SQL Query using `$1`, `$2`... to represent values (eg. `INSERT INTO users(name, email) VALUES($1, $2)`
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.

Before you connect to your PostgreSQL database from Pipedream, please make sure your database is either:

Accessible from the public internet (You may need to add a firewall rule on 0.0.0.0/0 on port 5432), or
Accessible from a static IP that you've configured from a VPC in Pipedream, and enabled the workflow to connect through that VPC

SSL Setup

Configure SSL on your PostgreSQL database by providing the CA (Certificate Authority), and choosing between Full Verification (default), 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#

Add or Update Row on Orca Scan

Description:Adds a new row or updates an existing row in a sheet. [See the documentation](https://orcascan.com/guides/add-barcode-tracking-to-your-system-using-a-rest-api-f09a21c3)

Version:0.0.1

Key:orca_scan-add-update-row

View on GitHub

Orca Scan Overview#

The Orca Scan API is a gateway to integrate barcode scanning and inventory management capabilities into various workflows. By leveraging the API, you can automate data collection, streamline inventory tracking, and sync your barcode scanning data with other systems. When used on Pipedream, you can merge Orca Scan functionalities with countless other apps, creating custom automation rules, processing data, and managing inventory in real-time. Ideal for inventory management, asset tracking, and data collection automation, the Orca Scan API is a tool that can adapt to a myriad of business needs.

Action Code#

import orca_scan from "../../orca_scan.app.mjs";

export default {
  key: "orca_scan-add-update-row",
  name: "Add or Update Row",
  description: "Adds a new row or updates an existing row in a sheet. [See the documentation](https://orcascan.com/guides/add-barcode-tracking-to-your-system-using-a-rest-api-f09a21c3)",
  version: "0.0.1",
  type: "action",
  props: {
    orca_scan,
    sheetId: {
      propDefinition: [
        orca_scan,
        "sheetId",
      ],
    },
    rowData: {
      propDefinition: [
        orca_scan,
        "rowData",
      ],
    },
    barcode: {
      propDefinition: [
        orca_scan,
        "barcode",
      ],
    },
  },
  async run({ $ }) {
    let rowId = null;

    // Check if a row with the given barcode exists
    if (this.barcode) {
      const { data } = await this.orca_scan.listRows({
        sheetId: this.sheetId,
        params: {
          barcode: this.barcode || null,
        },
      });
      if (data.length > 0) {
        const row = data[0];
        // Assume the first row is the one to update
        rowId = row._id;
        for (const [
          key,
          value,
        ] of Object.entries(this.rowData)) {
          row[key] = value;
        }
        this.rowData = row;
      } else {
        this.rowData.barcode = this.barcode;
      }
    }

    if (!this.rowData.date) this.rowData.date = new Date();

    // Make the request to add or update the row
    const response = await this.orca_scan.addOrUpdateRow({
      sheetId: this.sheetId,
      data: this.rowData,
      rowId: rowId,
    });

    $.export("$summary", `Successfully ${rowId
      ? "updated"
      : "added"} row with ID: ${response.data?._id}`);
    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
Orca Scan	`orca_scan`	`app`	This component uses the Orca Scan app.
Sheet ID	`sheetId`	`string`	Select a value from the drop down menu.
Row Data	`rowData`	`object`	The data for the new row to be added or updated. To get the fields, use the `Find Row` action to find a row and refer to the JSON output.
Barcode	`barcode`	`string`	The barcode value to locate a specific row record. If the barcode is not found, a new row will be created. If the barcode is found, the row will be updated with the data in `Row Data`.

Add or Update Row with Orca Scan API on New Row Custom Query from PostgreSQL API

Pipedream makes it easy to connect APIs for Orca Scan, PostgreSQL and 2,000+ other apps remarkably fast.

Trusted by 800,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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