Python SDK for the CLE Engine API - Continuing Legal Education deadline computation
Project description
CLE Engine Python SDK
A Python client library for the CLE Engine API, providing easy access to continuing legal education (CLE) deadline computation across all US jurisdictions.
Installation
pip install cle-engine
Quick Start
from cle_engine import CLEEngineClient
# Initialize the client
client = CLEEngineClient(api_key="your-api-key")
# Compute CLE due date for a California attorney
result = client.compute_due_date(
jurisdiction="CA",
admission_date="2020-01-15"
)
print(f"Due date: {result.due_date}")
print(f"Credits required: {result.credits_required}")
print(f"Cycle: {result.cycle_start} to {result.cycle_end}")
Configuration
API Key
You can provide your API key in two ways:
-
Direct initialization:
client = CLEEngineClient(api_key="your-api-key")
-
Environment variable:
export CLE_ENGINE_API_KEY="your-api-key"
client = CLEEngineClient() # Reads from environment
Custom Base URL
For testing or self-hosted instances:
client = CLEEngineClient(
api_key="your-api-key",
base_url="https://your-instance.example.com"
)
Or via environment variable:
export CLE_ENGINE_BASE_URL="https://your-instance.example.com"
Usage Examples
Computing Due Dates
Basic computation:
from cle_engine import CLEEngineClient
from datetime import date
client = CLEEngineClient(api_key="your-api-key")
# Using string dates
result = client.compute_due_date(
jurisdiction="CA",
admission_date="2020-01-15"
)
# Using date objects
result = client.compute_due_date(
jurisdiction="NY",
admission_date=date(2018, 5, 1),
last_name="Smith" # Used for surname-based reporting groups
)
With all optional parameters:
result = client.compute_due_date(
jurisdiction="TX",
profession="lawyer",
last_name="Johnson",
birth_date="1985-03-20",
admission_date="2015-07-01",
reporting_category="Group1",
reporting_period_end="2025-03-31",
renewal_year=2025
)
# Access response fields
print(f"Due date: {result.due_date}")
print(f"CLE required: {result.cle_required}")
print(f"Credits required: {result.credits_required}")
print(f"Reporting group: {result.reporting_group}")
print(f"Missing fields: {result.missing_fields}")
print(f"Notes: {result.notes}")
Health Check
client = CLEEngineClient(api_key="your-api-key")
health = client.health_check()
print(f"API status: {health.status}") # "ok"
Getting Jurisdictions
client = CLEEngineClient(api_key="your-api-key")
jurisdictions = client.get_jurisdictions()
for j in jurisdictions:
print(f"{j.code}: {j.name}")
print(f" CLE required: {j.cle_required}")
if j.cle_required:
print(f" Credits per cycle: {j.credits_per_cycle}")
print(f" Cycle length: {j.cycle_years} years")
Using Context Manager
with CLEEngineClient(api_key="your-api-key") as client:
result = client.compute_due_date(jurisdiction="CA")
print(result.due_date)
# Connection is automatically closed
Error Handling
The SDK provides specific exception classes for different error types:
from cle_engine import CLEEngineClient
from cle_engine.exceptions import (
CLEEngineError,
AuthenticationError,
RateLimitError,
ValidationError,
ServerError,
NetworkError,
)
client = CLEEngineClient(api_key="your-api-key")
try:
result = client.compute_due_date(jurisdiction="INVALID")
except AuthenticationError as e:
print(f"Authentication failed: {e}")
# Invalid or expired API key
except RateLimitError as e:
print(f"Rate limited. Retry after {e.retry_after} seconds")
except ValidationError as e:
print(f"Invalid request: {e}")
print(f"Details: {e.response_body}")
except ServerError as e:
print(f"Server error: {e}")
except NetworkError as e:
print(f"Network error: {e}")
except CLEEngineError as e:
# Catch-all for any API error
print(f"API error [{e.status_code}]: {e.message}")
Exception Hierarchy
All exceptions inherit from CLEEngineError:
AuthenticationError- Invalid or missing API key (401/403)RateLimitError- Rate limit exceeded (429)ValidationError- Invalid request parameters (400/422)ServerError- Server-side errors (5xx)NetworkError- Connection/timeout issues
Response Models
ComputeResponse
| Field | Type | Description |
|---|---|---|
due_date |
date | None |
The CLE compliance deadline |
cycle_start |
date | None |
Start of the reporting cycle |
cycle_end |
date | None |
End of the reporting cycle |
credits_required |
int | None |
Total credits required |
reporting_group |
str | None |
Assigned reporting group |
cle_required |
bool | None |
Whether CLE is mandatory |
required_fields |
list[str] |
Fields needed for computation |
missing_fields |
list[str] |
Required fields not provided |
citations |
list[Citation] |
Source documentation |
notes |
str | None |
Additional information |
Citation
| Field | Type | Description |
|---|---|---|
source_id |
str |
Identifier for the source |
excerpt_id |
str | None |
Specific excerpt reference |
url |
str | None |
Link to source documentation |
Development
Running Tests
# Install dev dependencies
pip install -e ".[dev]"
# Run tests
pytest
# Run with coverage
pytest --cov=cle_engine --cov-report=term-missing
# Type checking
mypy cle_engine
# Linting
ruff check cle_engine
Building
pip install build
python -m build
Requirements
- Python 3.8+
- requests >= 2.25.0
- pydantic >= 2.0.0
License
MIT License - see LICENSE file for details.
Support
- Documentation: https://docs.cle-engine.com
- Issues: https://github.com/cle-engine/cle-engine/issues
- Email: support@cle-engine.com
Project details
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