semvec/pypi-packages huggingface dataset:
tf-cloud-cli 0.0.2
A CLI to the Terraform Cloud API

# TF Cloud CLI

A simple CLI for interacting with the Terraform Cloud API.

Currently only supports listing organizations, workspaces and updating the run mode for workspaces

## Install

```
pip install tf-cloud-cli
```

### Token Setup

Get an API token from the Terraform cloud app.

Token can either be set in an environment variable called `TF_TOKEN` or in a file named `.credentials.conf`


## Usage

```
tf_cloud_cli --help                                                                                                                                                                                         <aws:sensurance>
Usage: tf_cloud_cli [OPTIONS] COMMAND [ARGS]...

Options:
  --help  Show this message and exit.

Commands:
  list-organizations
  organization
```

### List Organizations

```
tf_cloud_cli list-organizations
```

### List Workspaces

```
tf_cloud_cli organization -o MyOrganization list-workspaces
```

### Show workspace details

```
tf_cloud_cli organization -o MyOrganization workspace -w my-workspace show
```

### Set local execution for workspace

```
tf_cloud_cli organization -o MyOrganization workspace -w my-workspace set-local-execution
```
devops-microsoft-client-real-time 3.0.2
Responsible for sending commands to Seon DevOps microsoft Real Time job

# Goal
It is reponsible for sending command to Devops Microsoft Real Time Job

## Installation
To install devops_microsoft_client_real_time, run this command in your terminal:
```
pip install devops_microsoft_client_real_time
```

## Usage
To use devops_microsoft_client_real_time in a Python project:

```python
from pprint import pprint
from devops_microsoft_client_real_time.factory.factory import Factory
from devops_microsoft_client_real_time.factory.service_enum import Service

project_service = Factory.create(Service.ScrumProject)
team_project_service = Factory.create(Service.ProjectTeam)
team_member_service = Factory.create(Service.TeamMember)
sprint_service = Factory.create(Service.Sprint)
user_story_service = Factory.create(Service.UserStory)
task_service = Factory.create(Service.ScrumDevelopmentTask)
product_backlog_sprint_backlog_service = Factory.create(Service.Product_backlog)


organization = "Organization UUID SEON"
tfs_key = ""
tfs_url = ""
application = "Application UUID SEON"

pprint ("enviando os dados - Project")

content_task = {
    'createdDate': '2019-11-29T21:11:46.8222058Z',
    'eventType': 'workitem.created',
    'id': '69',
    'resource': {'fields':{'System.WorkItemType': 'Task'}}, 
    'resourceContainers': 
        {
            'account': {'baseUrl': 'https://dev.azure.com/paulossjunior/','id': '16ad67c1-3286-44bb-a0bb-d8ef245f21d2'},
            'collection': {'baseUrl': 'https://dev.azure.com/paulossjunior/','id': '31d31367-7618-485a-a500-f2dcb12e14ec'},
            'project': {'baseUrl': 'https://dev.azure.com/paulossjunior/','id': '0cfe9a70-c6ce-45b0-a898-d3594fc6a08a'}
        }

    }

data = {'organization_id': organization, 
                "tfs_key": tfs_key, 
                "tfs_url": tfs_url,
                "application": application, 
                "content": content_task
        }  

pprint ("enviando as task")
task_service.integrate(organization,data)
```