Integrate the FogBugz API with the Python API

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

Popular Ways to Connect FogBugz with Python#

Run Python Code with Python API on New Case Event from FogBugz API

FogBugz + Python

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Run Python Code with Python API on New Case in Filter from FogBugz API

FogBugz + Python

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Run Python Code with Python API on New Person Created from FogBugz API

FogBugz + Python

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Popular FogBugz and Python Triggers#

New Case Event from the FogBugz API

Emit new event instantaneously when something significant happens to a case.

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New Case in Filter from the FogBugz API

Emit new new event when there's a new case under a specified filter. Note this may not effectively work for filters that generate results too long, or filters with more than 50,000 cases, especially if your FogBugz site is running Ocelot.

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New Person Created from the FogBugz API

Emit new event when a new person or a user is created in FogBugz. It effectively tracks the addition of new users in the system.

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Popular FogBugz and Python Actions#

Create Case with the FogBugz API

Creates a new case on FogBugz. See the documentation

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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List Projects with the FogBugz API

Gets a list of projects in FogBugz. This can be used to quickly view all projects and their details. See the documentation

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Update Person with the FogBugz API

Edits an existing person in FogBugz. See the documentation

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Overview of FogBugz#

The FogBugz API allows you to interact with your FogBugz software development tracking system programmatically. With this API, you can create, read, update, and delete cases; manage projects, areas, and categories; and perform searches to gather data-driven insights. Integrating FogBugz with Pipedream opens up possibilities for automating workflows, syncing data across platforms, and reacting to events within FogBugz in real-time.

Connect FogBugz#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    fogbugz: {
      type: "app",
      app: "fogbugz",
    }
  },
  async run({steps, $}) {
    const data = {
      "cmd": `listPeople`,
      "token": `${this.fogbugz.$auth.api_token}`,
    }
    return await axios($, {
      method: "post",
      url: `https://${this.fogbugz.$auth.your_site}.fogbugz.com/f/api/0/jsonapi`,
      headers: {
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

Overview of Python#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python#

def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}