PyHiveLMS 1.3.2

Python bindings for Hive

PyHive — Hive API client for Python

PyHive (package: PyHiveLMS) is a lightweight synchronous Python client for the Hive LMS API, featuring Pydantic V2-based models for type safety and validation.

It provides:

• A simple HiveClient that manages authentication and the session lifecycle.
• Built-in support for Hive SSO and username/password authentication.
• Generator-based list endpoints for efficient paging and iteration.
• Model convenience helpers for working with programs, subjects, modules, exercises, assignments, queues, and users.
• Filter-friendly APIs that accept both IDs and model instances.

Supported Hive Versions

• 5.1.2
• 6.2.0
• 6.4.0

Install

Install from PyPI in a virtual environment:

pip install PyHiveLMS

Quickstart

The main entry point is HiveClient. Use it as a context manager to keep authentication and HTTP resources scoped cleanly.

SSO login (recommended)

Use HiveClient.from_sso(...) to authenticate via Hive SSO. This workflow opens a browser-based login page and completes authentication automatically.

from pyhive import HiveClient

with HiveClient.from_sso(hive_url="https://hive.org", verify=False) as client:
    programs = list(client.get_programs())
    print(programs)

Username/password login

Authenticate directly with Hive credentials when SSO is not desirable.

from pyhive import HiveClient

with HiveClient("username", "password", "https://hive.org") as client:
    subjects = list(client.get_subjects())
    print(subjects)

Core features

Iterable model helpers

Models expose convenience methods and iterators so you can fetch related objects naturally.

• Subject supports subject.get_modules() and can be iterated to yield its modules.
• Assignment supports assignment.get_responses() and can be iterated to yield its responses.

Filter-friendly list APIs

List endpoints accept filter keyword arguments that are forwarded to Hive.

subjects = client.get_subjects(parent_program__id__in=[123])
assignments = client.get_assignments(user__id__in=[456])

Many methods also accept either an ID or a model instance.

exercise_fields = client.get_exercise_fields(exercise)

Type hints

Public model classes are available from pyhive.types for type-safe code and editor completion. All models are Pydantic V2 BaseModel subclasses with automatic validation and serialization.

from pyhive import HiveClient
from pyhive.types import Program, Subject, User

with HiveClient("username", "password", "https://hive.org") as client:
    program = client.get_program(123)
    subjects = client.get_subjects(parent_program=program)
    for subject in subjects:
        print(subject.id, subject.name)

Convenience helpers

Call methods directly on models for common domain operations.

with HiveClient("username", "password", "https://hive.org") as client:
    # Create a new module in a subject
    subject = client.get_subjects(parent_program__id__in=[123])[0]
    new_module = subject.create_module(
        name="Limits and Continuity",
        order=10,
        segel_brief="Introduction to limits.",
    )
    print(new_module.id, new_module.name)
    
    # Create a new exercise in a module
    new_exercise = new_module.create_exercise(
        name="Derivative Rules",
        order=1,
        description="Practice basic derivative rules.",
    )
    print(new_exercise.id, new_exercise.name)
    
    # Create a new user
    new_user = client.create_user(
        username="student123",
        email="[e-mail]",
        first_name="John",
        last_name="Doe",
    )
    print(new_user.id, new_user.username)

Common methods

• HiveClient(username, password, hive_url, **kwargs)
• HiveClient.from_sso(hive_url, **kwargs)
• get_programs(...)
• get_program(program_id)
• get_subjects(...)
• get_modules(...)
• get_exercises(...)
• get_exercise(exercise_id)
• get_exercise_fields(exercise)
• get_assignments(...)
• get_assignment(assignment_id)
• get_assignment_responses(assignment)
• get_users(...)
• get_classes(...)

Return values are typed model objects or generators of model objects.

CLI

PyHive includes a CLI exposed as the pyhive console script with the following commands:

• pyhive versions: Display supported Hive API versions.
• pyhive token: Authenticate via SSO and output a valid access token.
• pyhive register <service_name> <redirect_uri>: Register a new service with the Hive server and generate client keys.

Testing

Run the package tests with pytest:

pip install -e .
pytest -q

Notes

• Network and HTTP errors are surfaced through the underlying HTTP client.
• Pass verify=False only when necessary for self-signed or development servers.
• The package is intended for synchronous Hive API usage with a minimal convenience layer.