Python bitbucket

Python bitbucket DEFAULT

Python with Bitbucket Pipelines

This guide shows you how to use Bitbucket Pipelines for building and testing a Python software project in a Docker container.

Note: Bitbucket Pipelines includes fifty free minutes per account, at the time of writing. From your workspace, you can check your account's usage minutes for the month by clicking your Settings > Plan details.

If you'd like to set it up by hand, most of the configuration happens in the bitbucket-pipelines.yml file that Pipelines uses to define the build.

Specify your Python version with Docker

Bitbucket Pipelines runs all your builds in Docker containers using an image that you specify at the beginning of your configuration file. You can easily use Python with Bitbucket Pipelines by using one of the official Python Docker images on Docker Hub.  If you use the default Python image it will come with pip installed by default to help you manage your dependencies.

For instance, you can use Python 3.7.2 by specifying it at the beginning of your bitbucket-pipelines.yml file.

If you wanted to use a different version of Python you simply need to change the tag of the Python Docker image. The example below would start a container with Python 3.5.1

You can find a list of all supported Python versions and corresponding image tags, refer to

Note that the Django Docker images have been deprecated in favor of the standard Python images mentioned above.

You can check your bitbucket-pipelines.yml file with our online validator.

Install dependencies

If you are using a requirements.txt file, you can simply run pip at the beginning of your script to install all the dependencies.

You can also install dependencies with the pip install command.


Bitbucket Pipelines allows you to launch extra services during the execution of your pipeline by defining the service, and instantiating it on the appropriate step.

We've compiled a list of of bitbucket-pipeline.yml examples to help get started with your favourite database.


You simply need to add to your bitbucket-pipelines.yml file the same commands that you would run locally to test your application. Following are some examples for specific Python tools.


Running PyUnit tests is quite straight forward.


To test your Django projects, you can run it the same as you run Django tests locally. Just remember to make sure that Django is installed in your Pipelines environment too.

Remember, you can check your bitbucket-pipelines.yml file with our online validator.


Project description

bitbucket-python is an API wrapper for Bitbucket written in Python

## Installing
pip install bitbucket-python

## Usage
from bitbucket.client import Client

client = Client('EMAIL', 'PASSWORD')

# Or to specify owner URL to find repo own by other user
client = Client('EMAIL', 'PASSWORD', 'Owner')


Get user information
response = client.get_user()

Get account privileges for repositories
response = client.get_privileges()

Get repositories
response = client.get_repositories()

Get repository
response = client.get_repository('REPOSITORY_SLUG')

Get branches for repository
response = client.get_repository_branches('REPOSITORY_SLUG')

Get tags for repository
response = client.get_repository_tags('REPOSITORY_SLUG')

Get components for repository
response = client.get_repository_components('REPOSITORY_SLUG')

Get milestones for repository
response = client.get_repository_milestones('REPOSITORY_SLUG')

Get versions for repository
response = client.get_repository_versions('REPOSITORY_SLUG')

Create issue
data = {..DATA..}
response = client.create_issue('REPOSITORY_SLUG', data)

Get all issues
response = client.get_issues('REPOSITORY_SLUG')

Get issue
response = client.get_issue('REPOSITORY_SLUG', 'ISSUE_ID')

Delete issue
response = client.delete_issue('REPOSITORY_SLUG', 'ISSUE_ID')

### Webhooks

Create webhook
data = {
"description": "Webhook",
"url": "",
"active": True,
"events": [
response = client.create_webhook('REPOSITORY_SLUG', data)

Get all webhooks
response = client.get_webhooks('REPOSITORY_SLUG')

Get webhook
response = client.get_webhook('REPOSITORY_SLUG', 'WEBHOOK_ID')

Delete webhook
response = client.delete_webhook('REPOSITORY_SLUG', 'WEBHOOK_ID')

## Requirements
- requests

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Atlassian Python API wrapper

Build statusPyPI versionPyPI - DownloadsLicenseCodacy BadgeDocumentation StatusDiscord Chat

What is it?

This package is used to provide a simple python interface for interacting with Atlassian products (Server, Data Center and Cloud) and apps from ecosystem (Portfolio, XRay). It is based on the official public Rest API documentation and private methods (+ xml+rpc, raw http request).



How to Install?

From PyPI

$ pip install atlassian-python-api

From Source

  • Git clone repository
  • Use to install the required packages
  • or


More examples in directory.

Here's a short example of how to create a Confluence page:

fromatlassianimportConfluenceconfluence=Confluence( url='http://localhost:8090', username='admin', password='admin') status=confluence.create_page( space='DEMO', title='This is the title', body='This is the body. You can use <strong>HTML tags</strong>!') print(status)

And here's another example of how to get issues from Jira using JQL Query:

fromatlassianimportJirajira=Jira( url='http://localhost:8080', username='admin', password='admin') JQL='project = DEMO AND status IN ("To Do", "In Progress") ORDER BY issuekey'data=jira.jql(JQL) print(data)

Also, you can use the Bitbucket module e.g. for getting project list

fromatlassianimportBitbucketbitbucket=Bitbucket( url='http://localhost:7990', username='admin', password='admin') data=bitbucket.project_list() print(data)

Now you can use the Jira Service Desk module. See docs. Example to get your requests:

fromatlassianimportServiceDesksd=ServiceDesk( url='http://localhost:7990', username='admin', password='admin') data=sd.get_my_customer_requests() print(data)

Using Xray (Test Management tool for Jira):

fromatlassianimportXrayxr=Xray( url='http://localhost:7990', username='admin', password='admin') data=xr.get_tests('TEST-001') print(data)

If you want to see the response in pretty print format JSON. Feel free for use construction like:

frompprintimportpprint# you code here# and then print using pprint(result) instead of print(result)pprint(response)

How to contribute?

First of all, I am happy for any PR requests. Let's fork and provide your changes :) See the Contribution Guidelines for this project for details on how to make changes to this library.


In addition to all the contributors we would like to thank these vendors:

How to Create A Bitbucket Repository for a Python Project


Not to be confused with the computer jargon term Bit bucket.

Web-based hosting service for software development projects

BitBucket SVG Logo.svg

Bitbucket Logo

Type of site

Collaborative version control
Available inEnglish, German, Russian, French, Simplified Chinese, Spanish, Hindi, Japanese, Korean, Portuguese
Created byJesper Noehr
URLbitbucket.orgEdit this at Wikidata
RegistrationRequired with optional OpenID
Launched2008; 13 years ago (2008)
Current statusOnline
Written inPython

Bitbucket is a Git-based source coderepositoryhosting service owned by Atlassian. Bitbucket offers both commercial plans and free accounts with an unlimited number of private repositories.


Bitbucket Cloud[edit]

Bitbucket Cloud (previously known as Bitbucket) is written in Python using the Djangoweb framework.[1]

Bitbucket is mostly used for code and code review. Bitbucket supports the following features:

Bitbucket Server[edit]

Bitbucket Server (formerly known as Stash[18]) is a combination Git server and web interface product written in Java and built with Apache Maven.[19] It allows users to do basic Git operations (such as reviewing or merging code, similar to GitHub) while controlling read and write access to the code. It also provides integration with other Atlassian tools.[20]

Bitbucket Server is a commercial software product that can be licensed for running on-premises.[21] Atlassian provides Bitbucket Server for free to open source projects meeting certain criteria, and to organizations that are non-profit, non-government, non-academic, non-commercial, non-political, and secular. For academic and commercial customers, the full source code is available under a developer source license.[21]


Bitbucket was previously an independent startup company, founded by Jesper Nøhr in 2008.[22] On 29 September 2010, Bitbucket was acquired by Atlassian.[23] In September 2015, Atlassian renamed their Stash product to Bitbucket Server.[24] In July 2016, Bitbucket added support for Git Large File Storage (LFS).[8] In 2020, Bitbucket removed support for its original repository format, Mercurial. [25]

See also[edit]


External links[edit]


Bitbucket python

BitBucket module

# Get repositories list from projectbitbucket.repo_list(project_key,limit=25)# Create a new repository.# Requires an existing project in which this repository will be created. The only parameters which will be used# are name and scmId.# The authenticated user must have PROJECT_ADMIN permission for the context project to call this resource.bitbucket.create_repo(project_key,repository,forkable=False,is_private=True)# Get branches from repobitbucket.get_branches(project,repository,filter='',limit=99999,details=True)# Creates a branch using the information provided in the request.# The authenticated user must have REPO_WRITE permission for the context repository to call this resource.bitbucket.create_branch(project_key,repository,name,start_point,message)# Delete branch from related repobitbucket.delete_branch(project,repository,name,end_point=None)# Get pull requestsbitbucket.get_pull_requests(project,repository,state='OPEN',order='newest',limit=100,start=0)# Get pull request activitiesbitbucket.get_pull_requests_activities(project,repository,pull_request_id)# Get pull request changesbitbucket.get_pull_requests_changes(project,repository,pull_request_id)# Get pull request commitsbitbucket.get_pull_requests_commits(project,repository,pull_request_id)# Add comment into pull requestbitbucket.add_pull_request_comment(project,repository,pull_request_id,text)# Create a new pull request between two branches.bitbucket.open_pull_request(source_project,source_repo,dest_project,dest_repo,source_branch,destination_branch,title,description)# Create a new pull request between two branches with one reviewerbitbucket.open_pull_request(source_project,source_repo,dest_project,dest_repo,source_branch,destination_branch,title,description,reviewers='name')# Create a new pull request between two branches with multiple reviewers.bitbucket.open_pull_request(source_project,source_repo,dest_project,dest_repo,source_branch,destination_branch,title,description,reviewers=['name1','name2'])# Delete a pull requestbitbucket.delete_pull_request(project,repository,pull_request_id,pull_request_version)# Get tags for related repobitbucket.get_tags(project,repository,filter='',limit=99999)# Get project tags# The authenticated user must have REPO_READ permission for the context repository to call this resourcebitbucket.get_project_tags(project,repository,tag_name)# Set tag# The authenticated user must have REPO_WRITE permission for the context repository to call this resourcebitbucket.set_tag(project,repository,tag_name,commit_revision,description=None)# Delete tag# The authenticated user must have REPO_WRITE permission for the context repository to call this resourcebitbucket.delete_tag(project,repository,tag_name)# Get diffbitbucket.get_diff(project,repository,path,hash_oldest,hash_newest)# Get commit list from repobitbucket.get_commits(project,repository,hash_oldest,hash_newest,limit=99999)# Get change log between 2 refsbitbucket.get_changelog(project,repository,ref_from,ref_to,limit=99999)# Get raw content of the file from repobitbucket.get_content_of_file(project,repository,filename,at=None,markup=None)""" Retrieve the raw content for a file path at a specified revision. The authenticated user must have REPO_READ permission for the specified repository to call this resource."""
Uso básico de GIT con Bitbucket y Sourcetree.

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