Fibery

Connected workspace for teams

Integrate the Fibery API with the PostgreSQL API

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

Create Entity with Fibery API on New Column from PostgreSQL API
PostgreSQL + Fibery
 
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Create Entity with Fibery API on New or Updated Row from PostgreSQL API
PostgreSQL + Fibery
 
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Create Entity with Fibery API on New Row Custom Query from PostgreSQL API
PostgreSQL + Fibery
 
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Create Entity with Fibery API on New Row from PostgreSQL API
PostgreSQL + Fibery
 
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Create Entity with Fibery API on New Table from PostgreSQL API
PostgreSQL + Fibery
 
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Entity Updated from the Fibery API

Emit new event for every updated entity of a certain type. See the docs here

 
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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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New Row from the PostgreSQL API

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

 
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New Entity Created from the Fibery API

Emit new event for every created entity of a certain type. See the docs here

 
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Create Entity with the Fibery API

Creates a new entity. See the docs here

 
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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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Create Multiple Entities with the Fibery API

Creates entities in batch. See the docs here

 
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Execute Custom Query with the PostgreSQL API

Executes a custom query you provide. See the documentation

 
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Create or Update Entity with the Fibery API

Creates a new entity or updates if it exists. See the docs here

 
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Overview of Fibery

Fibery is a versatile work management platform, and its API amplifies this versatility within Pipedream's environment. Leveraging the Fibery API on Pipedream, you can automate complex workflows that span across project management, product development, and collaborative functions. This includes actions like syncing issues across platforms, aggregating feedback into product roadmaps, or updating project timelines based on external triggers. With Pipedream, you can listen for webhooks, schedule tasks, and seamlessly connect Fibery with other apps to create a dynamic, interconnected workspace.

Connect Fibery

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module.exports = defineComponent({
  props: {
    fibery: {
      type: "app",
      app: "fibery",
    }
  },
  async run({steps, $}) {
    return (await require("@pipedream/platform").axios($, {
      method: "post",
      url: `https://${this.fibery.$auth.account_name}.fibery.io/api/commands`,
      headers: {
        "Authorization": `Token ${this.fibery.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
      data: [
        {
          "command": "fibery.entity/query",
          "args": {
            "query": {
              "q/from": "fibery/user",
              "q/select": ["fibery/id", "user/name"],
              "q/limit": 1
            }
          }
        }
      ],
    }))[0]
  },
})

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;
  },
})