Predict with Faraday API on New, Updated, or Deleted Warehouse from Snowflake API

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Trigger workflow on

New, Updated, or Deleted Warehouse from the Snowflake API

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Predict with the Faraday API

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Getting Started#

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

Select this integration
Configure the New, Updated, or Deleted Warehouse trigger
1. Connect your Snowflake account
2. Configure timer
3. Optional- Select one or more Query Types
4. Optional- Select one or more Warehouse Name
Configure the Predict action
1. Connect your Faraday account
2. Configure alert
3. Select a Target ID
4. Optional- Configure Email
5. Optional- Configure Phone
6. Optional- Configure First Name
7. Optional- Configure Last Name
8. Optional- Configure Street Address
9. Optional- Configure City
10. Optional- Configure State
11. Optional- Configure Postcode
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, Updated, or Deleted Warehouse on Snowflake

Description:Emit new events when a warehouse is created, altered, or dropped

Version:0.1.2

Key:snowflake-change-to-warehouse

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-watch-for-resource-changes.mjs";

export default {
  ...common,
  props: {
    ...common.props,
    warehouses: {
      propDefinition: [
        common.props.snowflake,
        "warehouses",
      ],
      optional: true,
    },
  },
  type: "source",
  key: "snowflake-change-to-warehouse",
  // eslint-disable-next-line
  name: "New, Updated, or Deleted Warehouse",
  description: "Emit new events when a warehouse is created, altered, or dropped",
  version: "0.1.2",
  async run() {
    await this.watchObjectsAndEmitChanges("WAREHOUSE", this.warehouses, this.queryTypes);
  },
};

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. Snowflake query history has roughly a 45 minute delay
Query Types	`queryTypes`	`string[]`	Select a value from the drop down menu:`CREATEALTERDROP`
Warehouse Name	`warehouses`	`string[]`	Select a value from the drop down menu.

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#

Predict on Faraday

Description:Returns a prediction about a single person. [See the documentation](https://faraday.ai/developers/reference/lookupontarget)

Version:0.0.1

Key:faraday-predict

View on GitHub

Faraday Overview#

The Faraday API empowers users to harness rich consumer data and predictive analytics for personalized marketing and strategic insights. On Pipedream, you can tap into this potential by creating workflows that trigger based on various events or schedules, process data with Faraday's capabilities, and then take actions – all without managing server infrastructure. Streamline customer interactions, forecast trends, and enrich contact lists by integrating other services for a seamless data-driven ecosystem.

Action Code#

import faraday from "../../faraday.app.mjs";
import { ConfigurationError } from "@pipedream/platform";

export default {
  key: "faraday-predict",
  name: "Predict",
  description: "Returns a prediction about a single person. [See the documentation](https://faraday.ai/developers/reference/lookupontarget)",
  version: "0.0.1",
  type: "action",
  props: {
    faraday,
    alert: {
      type: "alert",
      alertType: "info",
      content: `You must provide at least one of the following combinations to retrieve a match:
        - address + city + state
        - email
        - phone + lastName
      `,
    },
    targetId: {
      propDefinition: [
        faraday,
        "targetId",
      ],
    },
    email: {
      type: "string",
      label: "Email",
      description: "The person's email address",
      optional: true,
    },
    phone: {
      type: "string",
      label: "Phone",
      description: "The person's phone number",
      optional: true,
    },
    firstName: {
      type: "string",
      label: "First Name",
      description: "The person's first name",
      optional: true,
    },
    lastName: {
      type: "string",
      label: "Last Name",
      description: "The person's last name",
      optional: true,
    },
    address: {
      type: "string",
      label: "Street Address",
      description: "The person's street address",
      optional: true,
    },
    city: {
      type: "string",
      label: "City",
      description: "The person's city",
      optional: true,
    },
    state: {
      type: "string",
      label: "State",
      description: "The person's state",
      optional: true,
    },
    postcode: {
      type: "string",
      label: "Postcode",
      description: "The person's postcode",
      optional: true,
    },
  },
  async run({ $ }) {
    if (
      !this.email
      && !(this.address && this.city && this.state)
      && !(this.phone && this.lastName)
    ) {
      throw new ConfigurationError("You must provide at least one of the following combinations to retrieve a match: (address + city + state), (email), or (phone + lastName)");
    }

    const response = await this.faraday.generatePrediction({
      $,
      targetId: this.targetId,
      data: {
        email: this.email,
        phone: this.phone,
        person_first_name: this.firstName,
        person_last_name: this.lastName,
        house_number_and_street: this.address,
        city: this.city,
        state: this.state,
        postcode: this.postcode,
      },
    });
    $.export("$summary", "Prediction generated successfully");
    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
Faraday	`faraday`	`app`	This component uses the Faraday app.
Target ID	`targetId`	`string`	Select a value from the drop down menu.
Email	`email`	`string`	The person's email address
Phone	`phone`	`string`	The person's phone number
First Name	`firstName`	`string`	The person's first name
Last Name	`lastName`	`string`	The person's last name
Street Address	`address`	`string`	The person's street address
City	`city`	`string`	The person's city
State	`state`	`string`	The person's state
Postcode	`postcode`	`string`	The person's postcode