Upload Document for Parsing with Affinda API on New Query Results from Snowflake API

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New Query Results from the Snowflake API

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Upload Document for Parsing with the Affinda API

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Getting Started#

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

Select this integration
Configure the New Query Results trigger
1. Connect your Snowflake account
2. Configure timer
3. Configure SQL Query
4. Optional- Configure Primary key
5. Optional- Configure Emit individual events
Configure the Upload Document for Parsing action
1. Connect your Affinda account
2. Select a Organization
3. Select a Workspace
4. Select a Collection
5. Configure URL
6. Optional- Configure Wait
7. Optional- Configure Identifier
8. Optional- Configure File Name
9. Optional- Configure Expiry Time
10. Optional- Configure Language
11. Optional- Configure Reject Duplicates
12. Optional- Configure Region Bias
13. Optional- Configure Low Priority
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 Query Results on Snowflake

Description:Run a SQL query on a schedule, triggering a workflow for each row of results

Version:0.2.2

Key:snowflake-query-results

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.mjs";
import { v4 as uuidv4 } from "uuid";

export default {
  ...common,
  type: "source",
  key: "snowflake-query-results",
  name: "New Query Results",
  // eslint-disable-next-line
  description: "Run a SQL query on a schedule, triggering a workflow for each row of results",
  version: "0.2.2",
  props: {
    ...common.props,
    sqlQuery: {
      type: "string",
      label: "SQL Query",
      description: "Run this query on a schedule, triggering the workflow for each row of results",
    },
    // Ordering props correctly
    timer: common.props.timer,
    dedupeKey: {
      type: "string",
      label: "Primary key",
      description: "The column in your query to use for de-duplication. Duplicate rows won't trigger your workflow",
      optional: true,
    },
    emitIndividualEvents: {
      propDefinition: [
        common.props.snowflake,
        "emitIndividualEvents",
      ],
    },
  },
  methods: {
    ...common.methods,
    generateMeta(data) {
      const {
        row: { [this.dedupeKey]: id = uuidv4() },
        timestamp: ts,
      } = data;
      const summary = `New event (ID: ${id})`;
      return {
        id,
        summary,
        ts,
      };
    },
    generateMetaForCollection(data) {
      const { timestamp: ts } = data;
      const id = uuidv4();
      const summary = `New event (ID: ${id})`;
      return {
        id,
        summary,
        ts,
      };
    },
    getStatement() {
      return {
        sqlText: this.sqlQuery,
      };
    },
  },
};

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
SQL Query	`sqlQuery`	`string`	Run this query on a schedule, triggering the workflow for each row of results
Primary key	`dedupeKey`	`string`	The column in your query to use for de-duplication. Duplicate rows won't trigger your workflow
Emit individual events	`emitIndividualEvents`	`boolean`	Defaults to `true`, triggering workflows on each record in the result set. Set to `false` to emit records in batch (advanced)

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#

Upload Document for Parsing on Affinda

Description:Uploads a document for parsing. [See docs here](https://docs.affinda.com/reference/createdocument)

Version:0.0.1

Key:affinda-upload-document-from-url

View on GitHub

Affinda Overview#

The Affinda API offers a suite of powerful tools for document analysis and extraction, enabling you to automate the processing of resumes, invoices, bank statements, and other documents. By parsing detailed information from documents, Affinda can transform unstructured data into structured, actionable insights. With Pipedream, you can integrate Affinda's capabilities into serverless workflows, connecting to hundreds of apps to automate tasks like candidate screening, financial data aggregation, or content management.

Action Code#

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

export default {
  key: "affinda-upload-document-from-url",
  name: "Upload Document for Parsing",
  description: "Uploads a document for parsing. [See docs here](https://docs.affinda.com/reference/createdocument)",
  version: "0.0.1",
  type: "action",
  props: {
    affinda,
    organization: {
      propDefinition: [
        affinda,
        "organization",
      ],
    },
    workspace: {
      propDefinition: [
        affinda,
        "workspace",
        (c) => ({
          organization: c.organization,
        }),
      ],
    },
    collection: {
      propDefinition: [
        affinda,
        "collection",
        (c) => ({
          workspace: c.workspace,
        }),
      ],
    },
    url: {
      type: "string",
      label: "URL",
      description: "URL to download the document.",
    },
    wait: {
      type: "boolean",
      label: "Wait",
      description: "If `true`, will return a response only after processing has completed. If `false`, will return an empty data object which can be polled at the GET endpoint until processing is complete. Defaults to `true`.",
      optional: true,
    },
    identifier: {
      type: "string",
      label: "Identifier",
      description: "Specify a custom identifier for the document.",
      optional: true,
    },
    fileName: {
      type: "string",
      label: "File Name",
      description: "Optional filename of the file",
      optional: true,
    },
    expiryTime: {
      type: "string",
      label: "Expiry Time",
      description: "The date/time in ISO-8601 format when the document will be automatically deleted. Defaults to no expiry.",
      optional: true,
    },
    language: {
      type: "string",
      label: "Language",
      description: "Language code in ISO 639-1 format. Must specify zh-cn or zh-tw for Chinese.",
      optional: true,
    },
    rejectDuplicates: {
      type: "boolean",
      label: "Reject Duplicates",
      description: "If `true`, parsing will fail when the uploaded document is duplicate of an existing document, no credits will be consumed. If `false`, will parse the document normally whether its a duplicate or not. If not provided, will fallback to the workspace settings.",
      optional: true,
    },
    regionBias: {
      type: "object",
      label: "Region Bias",
      description: "A JSON representation of the RegionBias object. Example: `{\"country\": \"vn\"}`",
      optional: true,
    },
    lowPriority: {
      type: "boolean",
      label: "Low Priority",
      description: "Explicitly mark this document as low priority.",
      optional: true,
    },
  },
  async run({ $ }) {
    if (typeof this.regionBias === "string") {
      this.regionBias = JSON.parse(this.regionBias);
    }

    const response = await this.affinda.uploadDocument({
      $,
      data: {
        url: this.url,
        collection: this.collection,
        workspace: this.workspace,
        wait: this.wait,
        identifier: this.identifier,
        fileName: this.fileName,
        expiryTime: this.expiryTime,
        language: this.language,
        rejectDuplicates: this.rejectDuplicates,
        regionBias: this.regionBias,
        lowPriority: this.lowPriority,
      },
    });
    $.export("$summary", "Document uploaded 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
Affinda	`affinda`	`app`	This component uses the Affinda app.
Organization	`organization`	`string`	Select a value from the drop down menu.
Workspace	`workspace`	`string`	Select a value from the drop down menu.
Collection	`collection`	`string`	Select a value from the drop down menu.
URL	`url`	`string`	URL to download the document.
Wait	`wait`	`boolean`	If `true`, will return a response only after processing has completed. If `false`, will return an empty data object which can be polled at the GET endpoint until processing is complete. Defaults to `true`.
Identifier	`identifier`	`string`	Specify a custom identifier for the document.
File Name	`fileName`	`string`	Optional filename of the file
Expiry Time	`expiryTime`	`string`	The date/time in ISO-8601 format when the document will be automatically deleted. Defaults to no expiry.
Language	`language`	`string`	Language code in ISO 639-1 format. Must specify zh-cn or zh-tw for Chinese.
Reject Duplicates	`rejectDuplicates`	`boolean`	If `true`, parsing will fail when the uploaded document is duplicate of an existing document, no credits will be consumed. If `false`, will parse the document normally whether its a duplicate or not. If not provided, will fallback to the workspace settings.
Region Bias	`regionBias`	`object`	A JSON representation of the RegionBias object. Example: `{"country": "vn"}`
Low Priority	`lowPriority`	`boolean`	Explicitly mark this document as low priority.