Append to record with Data Stores API on New Model Created from BigML API

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Trigger workflow on

New Model Created from the BigML API

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Append to record with the Data Stores API

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Getting Started#

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

Select this integration
Configure the New Model Created trigger
1. Connect your BigML account
2. Configure timer
Configure the Append to record action
1. Connect your Data Stores account
2. Configure Data Store
3. Select a Key
4. Configure Value
5. Optional- Configure Time to Live (TTL)
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 Model Created on BigML

Description:Emit new event for every created model. [See docs here.](https://bigml.com/api/models?id=listing-models)

Version:0.0.1

Key:bigml-new-model-created

View on GitHub

BigML Overview#

The BigML API offers a suite of machine learning tools that enable the creation and management of datasets, models, predictions, and more. It's a powerful resource for developers looking to incorporate machine learning into their applications. Within Pipedream, you can leverage the BigML API to automate workflows, process data, and apply predictive analytics. By connecting BigML to other apps in Pipedream, you can orchestrate sophisticated data pipelines that react to events, perform analyses, and take action based on machine learning insights.

Trigger Code#

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

export default {
  ...base,
  key: "bigml-new-model-created",
  name: "New Model Created",
  description: "Emit new event for every created model. [See docs here.](https://bigml.com/api/models?id=listing-models)",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  methods: {
    ...base.methods,
    listingFunction() {
      return this.bigml.listModels;
    },
    emitEvent(model) {
      this.$emit(model, {
        id: model.resource,
        summary: `New model created: ${model.name}`,
        ts: model.created,
      });
    },
  },
};

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

Trigger Authentication#

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

To retrieve your API key,

Navigate to your BigML account and sign in
Click on the Account menu on the top right
Go to “API key”

About BigML#

Machine Learning made beautifully simple. A company-wide platform that runs in any cloud or on-premises to operationalize Machine Learning in your organization.

Action#

Append to record on Data Stores

Description:Append to a record in your data store [Pipedream Data Store](https://pipedream.com/data-stores/). If the record does not exist, a new record will be created in an array format.

Version:0.0.4

Key:data_stores-append-to-record

View on GitHub

Data Stores Overview#

Data Stores are a key-value store that allow you to persist state and share data across workflows. You can perform CRUD operations, enabling dynamic data management within your serverless architecture. Use it to save results from API calls, user inputs, or interim data; then read, update, or enrich this data in subsequent steps or workflows. Data Stores simplify stateful logic and cross-workflow communication, making them ideal for tracking process statuses, aggregating metrics, or serving as a simple configuration store.

Action Code#

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

export default {
  key: "data_stores-append-to-record",
  name: "Append to record",
  description: "Append to a record in your data store [Pipedream Data Store](https://pipedream.com/data-stores/). If the record does not exist, a new record will be created in an array format.",
  version: "0.0.4",
  annotations: {
    destructiveHint: false,
    openWorldHint: true,
    readOnlyHint: false,
  },
  type: "action",
  props: {
    app,
    dataStore: {
      propDefinition: [
        app,
        "dataStore",
      ],
    },
    key: {
      propDefinition: [
        app,
        "key",
        ({ dataStore }) => ({
          dataStore,
        }),
      ],
      description: "Enter a key for the record set you'd like to append to. Refer to your existing keys [here](https://pipedream.com/data-stores/).",
    },
    value: {
      propDefinition: [
        app,
        "value",
      ],
    },
    ttl: {
      propDefinition: [
        app,
        "ttl",
      ],
    },
  },
  async run({ $ }) {
    const {
      key,
      value,
      ttl,
    } = this;
    const currentValue = await this.dataStore.get(key);
    if (currentValue && !Array.isArray(currentValue)) {
      throw new ConfigurationError("The value for the specified key is not an array. You can only append records to an array.");
    }
    const recordSet = currentValue ?? [];
    const parsedValue = this.app.parseValue(value);
    recordSet.push(parsedValue);

    if (ttl) {
      await this.dataStore.set(key, recordSet, {
        ttl,
      });
      // eslint-disable-next-line multiline-ternary
      $.export("$summary", `Successfully ${currentValue ? "appended to the record for" : "created new record with the"} key: \`${key}\` (expires in ${this.app.formatTtl(ttl)}).`);
    } else {
      await this.dataStore.set(key, recordSet);
      // eslint-disable-next-line multiline-ternary
      $.export("$summary", `Successfully ${currentValue ? "appended to the record for" : "created new record with the"} key: \`${key}\`.`);
    }

    return {
      key,
      value: parsedValue,
      ttl: ttl || null,
    };
  },
};

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
Data Stores	`app`	`app`	This component uses the Data Stores app.
Data Store	`dataStore`	`data_store`	Select an existing Data Store or create a new one.
Key	`key`	`string`	Select a value from the drop down menu.
Value	`value`	`any`	Enter a string, object, or array.
Time to Live (TTL)	`ttl`	`integer`	The number of seconds until this record expires and is automatically deleted. Examples: 3600 (1 hour), 86400 (1 day), 604800 (1 week). Leave blank for records that should not expire.