Run Python Code with Python API on New Row Imported from CSVbox API

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New Row Imported from the CSVbox API

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Getting Started#

This integration creates a workflow with a CSVbox trigger and Python 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 Imported trigger
1. Connect your CSVbox account
2. Select a Sheet
Configure the Run Python Code action
1. Connect your Python account
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 Imported on CSVbox

Description:Emit new events when a new row is added to a CSVBox sheet

Version:0.0.1

Key:csvbox-new-row-instant

View on GitHub

Trigger Code#

import app from "../../csvbox.app.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  key: "csvbox-new-row-instant",
  name: "New Row Imported",
  description: "Emit new events when a new row is added to a CSVBox sheet",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  props: {
    db: "$.service.db",
    app,
    sheetId: {
      propDefinition: [
        app,
        "sheetId",
      ],
      description: "Select the sheet to receive data from",
    },
    http: "$.interface.http",
  },
  hooks: {
    async activate() {
      if (!this.sheetId) {
        throw new Error("Sheet selection is required before activation.");
      }

      try {
        const { data } = await this.app.createHook({
          data: {
            sheet_slug: this.sheetId,
            webhook_url: this.http.endpoint,
          },
        });

        const {
          webhookId, sample_response,
        } = data;
        this._setHookID(webhookId);

        if (!Array.isArray(sample_response) || sample_response.length === 0) {
          throw new Error("Unable to fetch sample data from selected sheet.");
        }

        const first = sample_response[0];
        const sampleId = `sample_${Date.now()}_${Math.random()
          .toString(36)
          .slice(2, 9)}`;
        this.$emit(
          {
            import_id: sampleId,
            sheet_id: this.sheetId,
            sheet_name: first.sheet_name || "Sample Data",
            row_number: first.row_number || 1,
            row_data: first.row_data || first,
            total_rows: first.total_rows || 10,
            env_name: first.env_name || "default",
            custom_fields: first.custom_fields || {
              user_id: "default123",
            },
            import_description:
              first.import_description || "This is a sample test import",
            original_filename: first.original_filename || "product_details.csv",
          },
          {
            id: sampleId,
            summary: `Sample data loaded from sheet - ${first.sheet_name}`,
            ts: Date.now(),
          },
        );
      } catch (err) {
        console.error("Error during source activation:", err);
        const error = new Error(
          `Failed to register webhook or fetch sample data: ${err?.message}`,
        );
        error.cause = err;
        throw error;
      }
    },
    async deactivate() {
      try {
        const hookId = this._getHookID();
        if (hookId) {
          await this.app.deleteHook({
            data: {
              webhook_id: hookId,
              sheet_slug: this.sheetId,
            },
          });
          this._setHookID(null);
        }
      } catch (err) {
        console.error("Error during deactivate webhook:", err);
        const error = new Error(
          `Failed to deactivate webhook during deactivation: ${err?.message}`,
        );
        error.cause = err;
        throw error;
      }
    },
  },
  methods: {
    /**
     * Retrieves the stored webhook ID from persistent storage
     * @returns {string|null} The webhook ID or null if not set
     */
    _getHookID() {
      return this.db.get("hookId");
    },
    /**
     * Stores the webhook ID in persistent storage
     * @param {string|null} hookID - The webhook ID to store
     */
    _setHookID(hookID) {
      this.db.set("hookId", hookID);
    },
  },
  async run(event) {
    const { body } = event;

    if (!Array.isArray(body) || body.length === 0) {
      console.error("Received webhook payload without row data");
      return;
    }

    for (const row of body) {
      this.$emit(row, {
        id: `${row.sheet_id}_${row.row_number}_${Date.now()}`,
        summary: `New Row Imported from sheet ${row.sheet_name}`,
        ts: Date.now(),
      });
    }
  },
  sampleEmit,
};

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
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
CSVbox	`app`	`app`	This component uses the CSVbox app.
Sheet	`sheetId`	`string`	Select a value from the drop down menu.
N/A	`http`	`$.interface.http`	This component uses `$.interface.http` to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the `run()` method of the component.

Trigger Authentication#

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

About CSVbox#

CSVBox is a platform for importing CSV/XLS data into your applications with ease.

Action#

Run Python Code on Python

Description:Write Python and use any of the 350k+ PyPi packages available. Refer to the [Pipedream Python docs](https://pipedream.com/docs/code/python) to learn more.

Version:0.0.3

Key:python-run-python-code

View on GitHub

Python Overview#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Action Code#

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

export default {
  name: "Run Python Code",
  version: "0.0.3",
  annotations: {
    destructiveHint: false,
    openWorldHint: true,
    readOnlyHint: false,
  },
  key: "python-run-python-code",
  description: "Write Python and use any of the 350k+ PyPi packages available. Refer to the [Pipedream Python docs](https://pipedream.com/docs/code/python) to learn more.",
  props: {
    python,
  },
  type: "action",
  methods: {},
  async run({
    steps, $,
  }) {
    // Placeholder action for Python code app
  },
};

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
Python	`python`	`app`	This component uses the Python app.

Action Authentication#

The Python API does not require authentication.

About Python#

Anything you can do in Python can be done in a Pipedream Workflow. This includes using any of the 350,000+ PyPi packages available in your Python powered workflows.