Get Table Data with Nasdaq Data Link (Time Series and Table data) API on Card Due Date Reminder from Pipedream API

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Card Due Date Reminder from the Pipedream API

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Get Table Data with the Nasdaq Data Link (Time Series and Table data) API

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Getting Started#

This integration creates a workflow with a Pipedream trigger and Nasdaq Data Link (Time Series and Table data) action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the Card Due Date Reminder trigger
1. Connect your Pipedream account
2. Connect your Pipedream account
3. Select a Board
4. Select a Time Before
Configure the Get Table Data action
1. Connect your Nasdaq Data Link (Time Series and Table data) account
2. Configure Publisher Code
3. Configure Table Code
4. Optional- Select one or more Columns
5. Optional- Configure Row Filters
6. Optional- Configure Filter Operators
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#

Card Due Date Reminder on Pipedream

Description:Emit new event at a specified time before a card is due.

Version:0.1.3

Key:trello-card-due-date-reminder

View on GitHub

Pipedream Overview#

Pipedream is an API that allows you to build applications that can connect to
various data sources and processes them in real-time. You can use Pipedream to
create applications that can perform ETL (Extract, Transform, and Load) tasks,
as well as to create data-driven workflows.

Some examples of applications you can build using the Pipedream API include:

An application that can extract data from a database, transform it, and then
load it into another database.
An application that can monitor a data source for changes, and then trigger a
workflow in response to those changes.
An application that can poll an API for new data, and then process that data
in real-time.

Trigger Code#

import ms from "ms";
import taskScheduler from "../../../pipedream/sources/new-scheduled-tasks/new-scheduled-tasks.mjs";
import constants from "../../common/constants.mjs";
import trello from "../../trello.app.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  key: "trello-card-due-date-reminder",
  name: "Card Due Date Reminder", /* eslint-disable-line pipedream/source-name */
  description: "Emit new event at a specified time before a card is due.",
  version: "0.1.3",
  type: "source",
  dedupe: "unique",
  props: {
    pipedream: taskScheduler.props.pipedream,
    trello,
    db: "$.service.db",
    http: "$.interface.http",
    board: {
      propDefinition: [
        trello,
        "board",
      ],
    },
    timeBefore: {
      type: "string",
      label: "Time Before",
      description: "How far before the due time the event should trigger. For example, `5 minutes`, `10 minutes`, `1 hour`.",
      default: "5 minutes",
      options: constants.NOTIFICATION_TIMES,
      reloadProps: true,
    },
  },
  async additionalProps() {
    const props = {};
    if (this.timeBefore) {
      props.timer = {
        type: "$.interface.timer",
        description: "Poll the API to schedule alerts for any newly created events",
        default: {
          intervalSeconds: ms(this.timeBefore) / 1000,
        },
      };
    }
    return props;
  },
  hooks: {
    async deactivate() {
      const ids = this._getScheduledEventIds();
      if (!ids?.length) {
        return;
      }
      for (const id of ids) {
        if (await this.deleteEvent({
          body: {
            id,
          },
        })) {
          console.log("Cancelled scheduled event");
        }
      }
      this._setScheduledEventIds();
    },
  },
  methods: {
    ...taskScheduler.methods,
    generateMeta({
      id, name: summary,
    }, now) {
      return {
        id,
        summary,
        ts: now,
      };
    },
    _getScheduledEventIds() {
      return this.db.get("scheduledEventIds");
    },
    _setScheduledEventIds(ids) {
      this.db.set("scheduledEventIds", ids);
    },
    _getScheduledCardIds() {
      return this.db.get("scheduledCardIds");
    },
    _setScheduledCardIds(ids) {
      this.db.set("scheduledCardIds", ids);
    },
    _hasDeployed() {
      const result = this.db.get("hasDeployed");
      this.db.set("hasDeployed", true);
      return result;
    },
    emitEvent(card, now) {
      const meta = this.generateMeta(card, now);
      this.$emit(card, meta);
    },
  },
  async run(event) {
    const now = event.timestamp * 1000;

    // self subscribe only on the first time
    if (!this._hasDeployed()) {
      await this.selfSubscribe();
    }

    let scheduledEventIds = this._getScheduledEventIds() || [];

    // incoming scheduled event
    if (event.$channel === this.selfChannel()) {
      const remainingScheduledEventIds = scheduledEventIds.filter((id) => id !== event["$id"]);
      this._setScheduledEventIds(remainingScheduledEventIds);
      this.emitEvent(event, now);
      return;
    }

    // schedule new events
    const scheduledCardIds = this._getScheduledCardIds() || {};
    const cards = await this.trello.getCards({
      boardId: this.board,
    });

    for (const card of cards) {
      const dueDate = card.due
        ? new Date(card.due)
        : null;
      if (!dueDate || dueDate.getTime() < Date.now()) {
        delete scheduledCardIds[card.id];
        continue;
      }

      const later = new Date(dueDate.getTime() - ms(this.timeBefore));

      if (scheduledCardIds[card.id]) {
        // reschedule if card's due date has changed
        if (card.due !== scheduledCardIds[card.id].dueDate) {
          await this.deleteEvent({
            body: {
              id: scheduledCardIds[card.id].eventId,
            },
          });
          scheduledEventIds = scheduledEventIds
            .filter((id) => id !== scheduledCardIds[card.id].eventId);
        } else {
          continue;
        }
      }

      const scheduledEventId = this.emitScheduleEvent(card, later);
      scheduledEventIds.push(scheduledEventId);
      scheduledCardIds[card.id] = {
        eventId: scheduledEventId,
        dueDate: card.due,
      };
    }
    this._setScheduledEventIds(scheduledEventIds);
    this._setScheduledCardIds(scheduledCardIds);
  },
  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
Pipedream	`pipedream`	`app`	This component uses the Pipedream app.
Pipedream	`trello`	`app`	This component uses the Pipedream app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
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.
Board	`board`	`string`	Select a value from the drop down menu.
Time Before	`timeBefore`	`string`	Select a value from the drop down menu:`5 minutes10 minutes15 minutes30 minutes1 hour2 hours3 hours6 hours12 hours1 day2 days3 days1 week`

Trigger Authentication#

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

About Pipedream#

Integration platform for developers

Action#

Get Table Data on Nasdaq Data Link (Time Series and Table data)

Description:Retrieves data from a specific Nasdaq Data Link table with automatic pagination. Supports filtering by columns and rows. [See the documentation](https://docs.data.nasdaq.com/docs/tables-1)

Version:0.0.1

Key:nasdaq_data_link_time_series_and_table_data_-get-table-data

View on GitHub

Nasdaq Data Link (Time Series and Table data) Overview#

The Nasdaq Data Link API provides access to financial, economic, and alternative data that powers investment decisions, research, and more. Within Pipedream, you can use this API to automate workflows involving time series and table data. This might include fetching stock prices, economic indicators, or data for quantitative analysis. By creating workflows that trigger on schedules or events, you can efficiently process and act upon this data. Combine it with other apps to gain insights, notify stakeholders, or integrate with your databases.

Action Code#

import app from "../../nasdaq_data_link_time_series_and_table_data_.app.mjs";
import utils from "../../common/utils.mjs";

export default {
  key: "nasdaq_data_link_time_series_and_table_data_-get-table-data",
  name: "Get Table Data",
  description: "Retrieves data from a specific Nasdaq Data Link table with automatic pagination. Supports filtering by columns and rows. [See the documentation](https://docs.data.nasdaq.com/docs/tables-1)",
  version: "0.0.1",
  type: "action",
  props: {
    app,
    publisher: {
      propDefinition: [
        app,
        "publisher",
      ],
    },
    table: {
      propDefinition: [
        app,
        "table",
      ],
    },
    columns: {
      propDefinition: [
        app,
        "columns",
        ({
          publisher, table,
        }) => ({
          publisher,
          table,
        }),
      ],
    },
    filters: {
      type: "object",
      label: "Row Filters",
      description: "Filter rows based on column values. Use column names as keys and values to filter by. For example: `{ \"ticker\": \"SPY\", \"date\": \"2024-01-01\" }`. Only filterable columns can be used (check table metadata).",
      optional: true,
    },
    filterOperators: {
      type: "object",
      label: "Filter Operators",
      description: "Apply operators to filters. Format: `{ \"column.operator\": \"value\" }`. Available operators: `.gt` (greater than), `.lt` (less than), `.gte` (greater than or equal), `.lte` (less than or equal). Example: `{ \"date.gte\": \"2024-01-01\", \"date.lte\": \"2024-12-31\" }`",
      optional: true,
    },
  },
  async run({ $ }) {
    const {
      app,
      publisher,
      table,
      columns,
      filters,
      filterOperators,
    } = this;

    const response = await app.paginate({
      fn: app.tableData,
      args: {
        $,
        publisher,
        table,
        params: {
          ...utils.parseJson(filters),
          ...utils.parseJson(filterOperators),
          ...(Array.isArray(columns) && columns?.length
            ? {
              "qopts.columns": columns.join(","),
            }
            : undefined
          ),
        },
      },
    });

    $.export("$summary", `Successfully retrieved ${response.length} records`);
    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
Nasdaq Data Link (Time Series and Table data)	`app`	`app`	This component uses the Nasdaq Data Link (Time Series and Table data) app.
Publisher Code	`publisher`	`string`	The publisher code (e.g., `MER`, `ETFG`, `AR`, `NDAQ`). This is the first part of the datatable code. If the code is `MER/F1`, then `MER` is the publisher code and `F1` is the table code.
Table Code	`table`	`string`	The table code (e.g., `F1`, `FUND`, `MWCS`, `RTAT10`). This is the second part of the datatable code. If the code is `MER/F1`, then `F1` is the table code.
Columns	`columns`	`string[]`	Select a value from the drop down menu.
Row Filters	`filters`	`object`	Filter rows based on column values. Use column names as keys and values to filter by. For example: `{ "ticker": "SPY", "date": "2024-01-01" }`. Only filterable columns can be used (check table metadata).
Filter Operators	`filterOperators`	`object`	Apply operators to filters. Format: `{ "column.operator": "value" }`. Available operators: `.gt` (greater than), `.lt` (less than), `.gte` (greater than or equal), `.lte` (less than or equal). Example: `{ "date.gte": "2024-01-01", "date.lte": "2024-12-31" }`

Action Authentication#

Nasdaq Data Link (Time Series and Table data) uses API keys for authentication. When you connect your Nasdaq Data Link (Time Series and Table data) account, Pipedream securely stores the keys so you can easily authenticate to Nasdaq Data Link (Time Series and Table data) APIs in both code and no-code steps.

To retrieve your API Key,

Navigate to your Nasdaq Data Link account and sign in
Click the dropdown on the top right
Go to “Account Settings”

About Nasdaq Data Link (Time Series and Table data)#

Nasdaq Data Link is a powerful, centralized, cloud-based technology platform providing access to more than 250 trusted data sets, available via API. Search, discover and build.