jira2py

A type-safe Python client for the Jira Cloud REST API v3. Use it to read and search issues, create and edit issues, transition workflows, retrieve changelogs, discover canonical field IDs, and work with comments, attachments, links, worklogs, projects, metadata, users, and saved filters.

Scope

jira2py supports Jira Cloud and Python 3.11+. It does not support Jira Server or Data Center, board/sprint/epic workflows, issue deletion or archiving, or a dedicated issue-assignment API.

Install

pip install jira2py

Authenticate safely

Create an Atlassian API token, then provide your Cloud URL, Atlassian account email, and token. Without credentials_file, each credential uses a non-empty explicit url, username, or api_token argument, then its JIRA_URL, JIRA_USER, or JIRA_API_TOKEN environment variable.

When you supply credentials_file, jira2py first loads and validates it as a complete set: the JSON must contain non-empty url, username, and api_token values. A partial file cannot be completed from explicit arguments or environment variables; after validation, non-empty explicit arguments override their matching file values.

There is no default credentials-file path. Keep tokens out of source control, logs, and error reports; use environment variables or a protected local JSON file instead.

export JIRA_URL="https://your-domain.atlassian.net"
export JIRA_USER="your-email@example.com"
export JIRA_API_TOKEN="your-api-token"

{
  "url": "https://your-domain.atlassian.net",
  "username": "your-email@example.com",
  "api_token": "your-api-token"
}

Pass the JSON file only when needed:

from jira2py import JiraAPI

jira = JiraAPI(credentials_file="./jira-credentials.json")

Choose an API layer

• JiraAPI is the low-level, endpoint-oriented interface. Operations return parsed Jira JSON-like data when available; downloads return bytes and operations without a response body return None.
• JiraHelpers provides grouped workflows and readable HelperResult values, with optional structured data, for common tasks.
• format_issue is an optional pure presentation function for an issue response you already retrieved.

Use JiraAPI when you want direct REST payloads and endpoint control. Full issue retrieval is performed only by jira.issues.get_issue():

from jira2py import JiraAPI

jira = JiraAPI()
issue = jira.issues.get_issue("PROJECT-123", fields=["summary", "status"])
results = jira.search.enhanced_search("project = PROJECT AND status = 'In Progress'")

Use format_issue only when you want readable text in addition to that structured response. It does not fetch data or change the response:

from jira2py import JiraAPI
from jira2py.helpers import JiraHelpers, format_issue

api = JiraAPI()
issue = api.issues.get_issue(
    "PROJECT-123",
    fields=["summary", "status", "description"],
)
print(format_issue(issue, browse_url=f"{api.credentials.url}/browse/{issue['key']}"))

helpers = JiraHelpers(api)
print(helpers.metadata.transitions("PROJECT-123").text)
field_page = helpers.metadata.list_fields("PROJECT", field_types=["custom"])
print(field_page.text)  # names plus canonical IDs; one Jira page
print(helpers.attachments.list("PROJECT-123").text)
print(helpers.changelogs.list("PROJECT-123").text)

Structured issue-read migration

Issue reads no longer use a helper or a comma-delimited fields string. Pass one exact selector per sequence item, then optionally format the returned data:

# Before (removed)
from jira2py.helpers import JiraHelpers

helpers = JiraHelpers(api)
api.issues.get_issue("PROJECT-123", fields="summary,status")
helpers.issues.read("PROJECT-123", extra_fields=["customfield_10001"])

# After
issue = api.issues.get_issue(
    "PROJECT-123",
    fields=["summary", "status", "customfield_10001"],
)
text = format_issue(
    issue,
    browse_url=f"{api.credentials.url}/browse/{issue['key']}",
)

The supplied selector sequence is forwarded unchanged: jira2py does not add fields, deduplicate selectors, or request an expansion. None omits fields and lets Jira choose its default unless raw extra_params["fields"] overrides it. Wildcards and negative selectors such as "*all" and "-description" can still return broad responses; choose projections deliberately.

Workflow transitions

Discover the current issue's transitions and transition-screen metadata before choosing the Jira transition ID:

metadata = helpers.metadata.transitions("PROJ-123")
print(metadata.text)
print(metadata.data)  # complete Jira transitions envelope, including fields

accepted = helpers.issues.transition(
    "PROJ-123",
    "31",
    fields={"resolution": {"name": "Done"}},
    update={"labels": [{"add": "released"}]},
)
assert accepted.data["verified"] is False

fields and update are Jira-native mappings and cannot share an exact field key. The helper's successful result means Jira accepted the request; it does not read the issue afterward. Verify the expected destination status and changed fields with api.issues.get_issue(). Transition names remain supported for compatibility, but IDs from fresh discovery avoid ambiguity.

Documentation

• Installation
• Configuration and credential details
• High-level helpers
• API reference
• Full documentation
• Machine-readable documentation and complete reference

License

MIT