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FTrack

ftrack, a Backlight business, is the creator of Emmy and Academy Award-winning team collaboration and media review platforms for the creative industries.

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PostgreSQL

Integrate the FTrack API with the PostgreSQL API

Setup the FTrack API trigger to run a workflow which integrates with the PostgreSQL API. Pipedream's integration platform allows you to integrate FTrack and PostgreSQL remarkably fast. Free for developers.

Popular Ways to Connect FTrack with PostgreSQL

Delete Row(s) with PostgreSQL API on New Project Added from FTrack API
FTrack + PostgreSQL
 
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Delete Row(s) with PostgreSQL API on New Task Added from FTrack API
FTrack + PostgreSQL
 
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Delete Row(s) with PostgreSQL API on Status Changed from FTrack API
FTrack + PostgreSQL
 
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Execute Custom Query with PostgreSQL API on New Project Added from FTrack API
FTrack + PostgreSQL
 
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Execute Custom Query with PostgreSQL API on New Task Added from FTrack API
FTrack + PostgreSQL
 
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Popular FTrack and PostgreSQL Triggers

New Project Added from the FTrack API

Triggered when a new task is added. See the documentation

 
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New Task Added from the FTrack API

Triggered when a new task is added. See the documentation

 
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Status Changed from the FTrack API

Triggered when the status of an item is changed. See the documentation

 
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New Column from the PostgreSQL API

Emit new event when a new column is added to a table. See the documentation

 
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New or Updated Row from the PostgreSQL API

Emit new event when a row is added or modified. See the documentation

 
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Popular FTrack and PostgreSQL Actions

Get Task Info with the FTrack API

Get information about a task. See the documentation

 
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Delete Row(s) with the PostgreSQL API

Deletes a row or rows from a table. See the documentation

 
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List Schemas with the FTrack API

List all schemas. See the documentation

 
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Execute Custom Query with the PostgreSQL API

Executes a custom query you provide. See the documentation

 
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Find Row with the PostgreSQL API

Finds a row in a table via a lookup column. See the documentation

 
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Overview of FTrack

The FTrack API is a powerhouse for creative project management, enabling users to automate and integrate a wide array of tasks related to project tracking, asset management, and team collaboration. With Pipedream, you can harness this API to create custom workflows that trigger actions within FTrack or connect it with other apps to streamline your creative operations. It's a toolset for improving efficiency by automating repetitive tasks, syncing data across applications, and orchestrating complex project management activities.

Connect FTrack

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    ftrack: {
      type: "app",
      app: "ftrack",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      method: "POST",
      url: `https://${this.ftrack.$auth.subdomain}.ftrackapp.com/api`,
      headers: {
        "Content-Type": `application/json`,
        "ftrack-user": `${this.ftrack.$auth.username}`,
        "ftrack-api-key": `${this.ftrack.$auth.api_key}`,
      },
      data: []
    })
  },
})

Overview of PostgreSQL

On Pipedream, you can leverage the PostgreSQL app to create workflows that automate database operations, synchronize data across platforms, and react to database events in real-time. Think handling new row entries, updating records from webhooks, or even compiling reports on a set schedule. Pipedream's serverless platform provides a powerful way to connect PostgreSQL with a variety of apps, enabling you to create tailored automation that fits your specific needs.

Connect PostgreSQL

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import postgresql from "@pipedream/postgresql"

export default defineComponent({
  props: {
    postgresql,
  },
  async run({ steps, $ }) {
    // Component source code:
    // https://github.com/PipedreamHQ/pipedream/tree/master/components/postgresql

    const queryObj = {
      text: "SELECT NOW()",
      values: [], // Ignored since query does not contain placeholders
    };
    const { rows } = await this.postgresql.executeQuery(queryObj);
    return rows;
  },
})
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