Skip to main content

Timeback OneRoster v1.2 client for rostering and gradebook APIs

Project description

timeback-oneroster

Python client for the OneRoster v1.2 API.

Installation

# pip
pip install timeback-oneroster

# uv (add to a project)
uv add timeback-oneroster

# uv (install into current environment)
uv pip install timeback-oneroster

Quick Start

from timeback_oneroster import OneRosterClient

async def main():
    client = OneRosterClient(
        env="staging",  # or "production"
        client_id="your-client-id",
        client_secret="your-client-secret",
    )

    # List all schools
    schools = await client.schools.list()
    for school in schools:
        print(school.name)

    # Get a specific user
    user = await client.users.get("user-sourced-id")
    print(f"{user.given_name} {user.family_name}")

    await client.close()

Client Structure

client = OneRosterClient(options)

# Rostering
client.users        # All users
client.students     # Students (filtered users)
client.teachers     # Teachers (filtered users)
client.classes      # Classes
client.schools      # Schools
# client.courses    # Coming soon
# client.enrollments # Coming soon
# client.terms      # Coming soon

Resource Operations

Each resource supports:

# List all items
users = await client.users.list()

# List with type-safe filtering (recommended)
active_teachers = await client.users.list(
    where={"status": "active", "role": "teacher"}
)

# With operators
teachers_or_aides = await client.users.list(
    where={"role": {"in_": ["teacher", "aide"]}}
)

# Not equal
non_deleted = await client.users.list(
    where={"status": {"ne": "deleted"}}
)

# Sorting
sorted_users = await client.users.list(
    where={"status": "active"},
    sort="familyName",
    order_by="asc",
)

# Get by sourcedId
user = await client.users.get("user-id")

# Create (where supported)
create_result = await client.classes.create({
    "title": "Math 101",
    "course": {"sourcedId": "course-id"},
    "school": {"sourcedId": "school-id"},
})
print(create_result.sourced_id_pairs.allocated_sourced_id)

# Update (where supported)
await client.classes.update("class-id", {"title": "Math 102"})

# Delete (where supported)
await client.classes.delete("class-id")

Nested Resources

# Schools
classes = await client.schools("school-id").classes()
students = await client.schools("school-id").students()
teachers = await client.schools("school-id").teachers()
courses = await client.schools("school-id").courses()

# Classes
students = await client.classes("class-id").students()
teachers = await client.classes("class-id").teachers()
enrollments = await client.classes("class-id").enrollments()

# Enroll a student
await client.classes("class-id").enroll({"sourcedId": "student-id", "role": "student"})

# Users
classes = await client.users("user-id").classes()
demographics = await client.users("user-id").demographics()

# Students / Teachers
classes = await client.students("student-id").classes()
classes = await client.teachers("teacher-id").classes()

Filtering

The client supports type-safe filtering with the where parameter:

# Simple equality
users = await client.users.list(where={"status": "active"})

# Multiple conditions (AND)
users = await client.users.list(
    where={"status": "active", "role": "teacher"}
)

# Operators
users = await client.users.list(where={"score": {"gte": 90}})        # >=
users = await client.users.list(where={"score": {"gt": 90}})         # >
users = await client.users.list(where={"score": {"lte": 90}})        # <=
users = await client.users.list(where={"score": {"lt": 90}})         # <
users = await client.users.list(where={"status": {"ne": "deleted"}}) # !=
users = await client.users.list(where={"email": {"contains": "@school.edu"}})  # substring

# Match any of multiple values (OR)
users = await client.users.list(
    where={"role": {"in_": ["teacher", "aide"]}}
)

# Exclude multiple values
users = await client.users.list(
    where={"status": {"not_in": ["deleted", "inactive"]}}
)

# Explicit OR across fields
users = await client.users.list(
    where={"OR": [{"role": "teacher"}, {"status": "active"}]}
)

Pagination

For large datasets, use streaming:

# Collect all users
all_users = await client.users.stream().to_list()

# With limits
first_100 = await client.users.stream(max_items=100).to_list()

# With filtering
active_users = await client.users.stream(
    where={"status": "active"}
).to_list()

# Get first item only
first_user = await client.users.stream().first()

Configuration

OneRosterClient(
    # Environment-based (recommended)
    env="production",  # or "staging"
    client_id="...",
    client_secret="...",

    # Or explicit URLs
    base_url="https://api.example.com",
    auth_url="https://auth.example.com/oauth2/token",
    client_id="...",
    client_secret="...",

    # Optional
    timeout=30.0,  # Request timeout in seconds
)

Environment Variables

If credentials are not provided explicitly, the client reads from:

  • ONEROSTER_CLIENT_ID
  • ONEROSTER_CLIENT_SECRET
  • ONEROSTER_BASE_URL (optional)
  • ONEROSTER_TOKEN_URL (optional)

Error Handling

from timeback_oneroster import OneRosterError, NotFoundError, AuthenticationError

try:
    user = await client.users.get("invalid-id")
except NotFoundError as e:
    print(f"User not found: {e.sourced_id}")
except AuthenticationError:
    print("Invalid credentials")
except OneRosterError as e:
    print(f"API error: {e}")

Async Context Manager

async with OneRosterClient(client_id="...", client_secret="...") as client:
    schools = await client.schools.list()
# Client is automatically closed

FastAPI Integration

from fastapi import FastAPI, Depends
from timeback_oneroster import OneRosterClient

app = FastAPI()

async def get_oneroster():
    client = OneRosterClient(
        env="production",
        client_id="...",
        client_secret="...",
    )
    try:
        yield client
    finally:
        await client.close()

@app.get("/schools")
async def list_schools(client: OneRosterClient = Depends(get_oneroster)):
    return await client.schools.list()

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

timeback_oneroster-0.3.2b20260424234206.tar.gz (55.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

File details

Details for the file timeback_oneroster-0.3.2b20260424234206.tar.gz.

File metadata

  • Download URL: timeback_oneroster-0.3.2b20260424234206.tar.gz
  • Upload date:
  • Size: 55.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.7 {"installer":{"name":"uv","version":"0.11.7","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for timeback_oneroster-0.3.2b20260424234206.tar.gz
Algorithm Hash digest
SHA256 1feebd1f85203b4d572ced68bdb8583527d1ffe732032ce341eb3b3fee24b8b1
MD5 d51b7e61db2a5a8a3e8000cf48d66334
BLAKE2b-256 c20b8f6b4ddb5955bc16785c09d6b6dbc769239c1513745649ee83551c35b3e4

See more details on using hashes here.

File details

Details for the file timeback_oneroster-0.3.2b20260424234206-py3-none-any.whl.

File metadata

  • Download URL: timeback_oneroster-0.3.2b20260424234206-py3-none-any.whl
  • Upload date:
  • Size: 70.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.7 {"installer":{"name":"uv","version":"0.11.7","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for timeback_oneroster-0.3.2b20260424234206-py3-none-any.whl
Algorithm Hash digest
SHA256 b4aa783346c336060efc7122994e90753c36bce421d44b643f6d8d2923e5c29d
MD5 d7ed504021e413c30eea04bb7c06e20d
BLAKE2b-256 2e696b07ecf5910c09d81f780e4dd81088e99e138d95087621f8a0a466e8f600

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page