Error Handling

Handle errors gracefully in the Torale Python SDK.

Exception Hierarchy

ToraleError (base)
├── AuthenticationError (401)
├── NotFoundError (404)
├── ValidationError (400, 422)
├── RateLimitError
└── APIError (all other HTTP errors)
    ├── status_code: int
    └── response: dict | None

All exceptions are in torale.sdk.exceptions.

Basic Error Handling

from torale import Torale
from torale.sdk.exceptions import ToraleError

client = Torale(api_key="sk_...")

try:
    task = client.tasks.create(
        name="My Monitor",
        search_query="...",
        condition_description="...",
    )
except ToraleError as e:
    print(f"API error: {e}")

Specific Exceptions

AuthenticationError

Raised when the API key is missing, invalid, or expired (HTTP 401). Also raised at client init if no API key can be resolved.

from torale.sdk.exceptions import AuthenticationError

try:
    client = Torale(api_key="sk_invalid")
    tasks = client.tasks.list()
except AuthenticationError as e:
    print(f"Auth failed: {e}")

ValidationError

Raised for invalid request data (HTTP 400 or 422).

from torale.sdk.exceptions import ValidationError

try:
    task = client.tasks.create(
        name="",  # Invalid
        search_query="...",
        condition_description="...",
    )
except ValidationError as e:
    print(f"Validation failed: {e}")

NotFoundError

Raised when a resource doesn't exist (HTTP 404).

from torale.sdk.exceptions import NotFoundError

try:
    task = client.tasks.get("non-existent-id")
except NotFoundError:
    print("Task not found")

RateLimitError

Raised when rate limits are exceeded.

from torale.sdk.exceptions import RateLimitError

try:
    task = client.tasks.create(...)
except RateLimitError:
    print("Rate limited. Try again later.")

APIError

Catch-all for other HTTP errors. Has status_code and response attributes.

from torale.sdk.exceptions import APIError

try:
    task = client.tasks.create(...)
except APIError as e:
    print(f"HTTP {e.status_code}: {e}")
    if e.response:
        print(f"Response body: {e.response}")

Retry Logic

Simple Retry

import time
from torale.sdk.exceptions import APIError

def create_task_with_retry(client, max_retries=3, **kwargs):
    retry_delay = 1

    for attempt in range(max_retries):
        try:
            return client.tasks.create(**kwargs)
        except APIError as e:
            if e.status_code and e.status_code < 500:
                raise  # Don't retry client errors
            if attempt == max_retries - 1:
                raise
            print(f"Retry {attempt + 1}/{max_retries} after {retry_delay}s...")
            time.sleep(retry_delay)
            retry_delay *= 2

task = create_task_with_retry(
    client,
    name="My Monitor",
    search_query="...",
    condition_description="...",
)

Using tenacity

from tenacity import (
    retry,
    stop_after_attempt,
    wait_exponential,
    retry_if_exception_type,
)
from torale.sdk.exceptions import APIError

@retry(
    stop=stop_after_attempt(3),
    wait=wait_exponential(multiplier=1, min=2, max=10),
    retry=retry_if_exception_type(APIError),
)
def create_task(client, **kwargs):
    return client.tasks.create(**kwargs)

Async Error Handling

import asyncio
from torale import ToraleAsync
from torale.sdk.exceptions import ValidationError, APIError

async def safe_create_task(client, max_retries=3, **kwargs):
    retry_delay = 1

    for attempt in range(max_retries):
        try:
            return await client.tasks.create(**kwargs)
        except ValidationError:
            raise  # Don't retry
        except APIError as e:
            if attempt == max_retries - 1:
                raise
            print(f"Retrying in {retry_delay}s...")
            await asyncio.sleep(retry_delay)
            retry_delay *= 2

async def main():
    async with ToraleAsync(api_key="sk_...") as client:
        task = await safe_create_task(
            client,
            name="My Monitor",
            search_query="...",
            condition_description="...",
        )

asyncio.run(main())

Logging Errors

import logging
from torale import Torale
from torale.sdk.exceptions import ToraleError

logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

client = Torale(api_key="sk_...")

try:
    task = client.tasks.create(
        name="My Monitor",
        search_query="...",
        condition_description="...",
    )
    logger.info(f"Created task: {task.id}")
except ToraleError as e:
    logger.error(f"Task creation failed: {e}")
    raise

Best Practices

Catch specific exceptions first. Handle each error type differently:

from torale.sdk.exceptions import (
    AuthenticationError,
    ValidationError,
    NotFoundError,
    APIError,
)

try:
    task = client.tasks.create(...)
except AuthenticationError:
    # Re-authenticate or fail fast
    raise
except ValidationError:
    # Fix input, don't retry
    raise
except NotFoundError:
    # Resource missing
    raise
except APIError as e:
    # Retry only server errors (5xx)
    if e.status_code and e.status_code >= 500:
        # retry logic here
        pass
    else:
        raise

Don't retry non-transient errors. AuthenticationError, ValidationError, and NotFoundError won't succeed on retry.

Use exponential backoff for retries to avoid overwhelming the server.

Next Steps

• View Examples
• Read API Reference
• Learn about Async Client