Execute SQL Query with Snowflake API on New Phone Call from SignalWire API

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Trigger workflow on

New Phone Call from the SignalWire API

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Execute SQL Query with the Snowflake API

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Getting Started#

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

Select this integration
Configure the New Phone Call trigger
1. Connect your SignalWire account
2. Configure timer
Configure the Execute SQL Query action
1. Connect your Snowflake account
2. Configure SQL Query
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 Phone Call on SignalWire

Description:Emits an event when a new phone call has been logged

Version:0.0.1

Key:signalwire-new-phone-call

View on GitHub

SignalWire Overview#

The SignalWire API provides powerful communication capabilities, allowing developers to send and receive text messages, make voice calls, and manage telephony features programmatically. On Pipedream, you can leverage these functionalities to create serverless workflows that integrate with numerous apps and services. With Pipedream's easy-to-use interface and robust connectivity options, you can build automated processes that trigger from various events and perform actions using SignalWire without managing infrastructure.

Trigger Code#

import base from "../common/base.mjs";

export default {
  ...base,
  key: "signalwire-new-phone-call",
  name: "New Phone Call",
  description: "Emits an event when a new phone call has been logged",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  methods: {
    ...base.methods,
    getResourceFn() {
      return this.signalwire.listPhoneCallLogs;
    },
    generateMeta(call) {
      return {
        id: call.id,
        summary: `New phone call log: ${call.id}`,
        ts: Date.parse(call.created_at),
      };
    },
  },
};

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
SignalWire	`signalwire`	`app`	This component uses the SignalWire app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`

Trigger Authentication#

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

Generate and copy your Project ID and API credentials from your dashboard at the “API“ page.

About SignalWire#

Build what's next with the OGs of telecom. Video, voice, and messaging APIs from the source.

Action#

Execute SQL Query on Snowflake

Description:Execute a custom Snowflake query. See [our docs](https://pipedream.com/docs/databases/working-with-sql) to learn more about working with SQL in Pipedream.

Version:0.2.0

Key:snowflake-execute-sql-query

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.

Action Code#

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

export default {
  name: "Execute SQL Query",
  version: "0.2.0",
  key: "snowflake-execute-sql-query",
  description: "Execute a custom Snowflake query. See [our docs](https://pipedream.com/docs/databases/working-with-sql) to learn more about working with SQL in Pipedream.",
  type: "action",
  props: {
    snowflake,
    // eslint-disable-next-line pipedream/props-description
    sql: {
      type: "sql",
      auth: {
        app: "snowflake",
      },
      label: "SQL Query",
    },
  },
  async run({ $ }) {
    const args = this.snowflake.executeQueryAdapter(this.sql);

    const data = await this.snowflake.executeQuery(args);

    $.export("$summary", `Returned ${data.length} ${data.length === 1
      ? "row"
      : "rows"}`);

    return data;
  },
};

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
Snowflake	`snowflake`	`app`	This component uses the Snowflake app.
SQL Query	`sql`	`sql`