PyFlowery/pyflowery/rest_adapter.py

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"""This module contains the RestAdapter class, which is used to make requests to the Flowery API."""""
from asyncio import sleep as asleep
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from json import JSONDecodeError
import aiohttp
from pyflowery.exceptions import (
ClientError,
InternalServerError,
RetryLimitExceeded,
TooManyRequests,
)
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from pyflowery.models import FloweryAPIConfig, Result
class RestAdapter:
"""Constructor for RestAdapter
Args:
config (FloweryAPIConfig): Configuration object for the FloweryAPI class
Raises:
ValueError: Raised when the keyword arguments passed to the class constructor conflict.
"""
def __init__(self, config = FloweryAPIConfig):
self._url = "https://api.flowery.pw/v1"
self.config = config
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async def _do(self, http_method: str, endpoint: str, params: dict = None, timeout: float = 60):
"""Internal method to make a request to the Flowery API. You shouldn't use this directly.
Args:
http_method (str): The [HTTP method](https://developer.mozilla.org/en-US/docs/Web/HTTP/Methods) to use
endpoint (str): The endpoint to make the request to.
params (dict): Python dictionary of query parameters to send with the request.
timeout (float): Number of seconds to wait for the request to complete.
Raises:
TooManyRequests: Raised when the Flowery API returns a 429 status code
ClientError: Raised when the Flowery API returns a 4xx status code
InternalServerError: Raised when the Flowery API returns a 5xx status code
RetryLimitExceeded: Raised when the retry limit defined in the `FloweryAPIConfig` class (default 3) is exceeded
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Returns:
Result: A Result object containing the status code, message, and data from the request.
"""
full_url = self._url + endpoint
headers = {
'User-Agent': self.config.prepended_user_agent(),
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}
sanitized_params = {k: str(v) if isinstance(v, bool) else v for k, v in params.items()} if params else None
retry_counter = 0
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async with aiohttp.ClientSession() as session:
while retry_counter < self.config.retry_limit:
self.config.logger.debug("Making %s request to %s with headers %s and params %s", http_method, full_url, headers, sanitized_params)
async with session.request(method=http_method, url=full_url, params=sanitized_params, headers=headers, timeout=timeout) as response:
try:
data = await response.json()
except (JSONDecodeError, aiohttp.ContentTypeError):
data = await response.read()
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result = Result(
success=response.status,
status_code=response.status,
message=response.reason,
data=data,
)
self.config.logger.debug("Received response: %s %s", response.status, response.reason)
try:
if result.status_code == 429:
raise TooManyRequests(f"{result.message} - {result.data}")
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if 400 <= result.status_code < 500:
raise ClientError(f"{result.status_code} - {result.message} - {result.data}")
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if 500 <= result.status_code < 600:
raise InternalServerError(f"{result.status_code} - {result.message} - {result.data}")
except (TooManyRequests, InternalServerError) as e:
if retry_counter < self.config.retry_limit:
interval = self.config.interval * retry_counter
self.config.logger.error("%s - retrying in %s seconds", e, interval, exc_info=True)
retry_counter += 1
await asleep(interval)
continue
raise RetryLimitExceeded(message=f"Request failed more than {self.config.retry_limit} times, not retrying") from e
return result
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async def get(self, endpoint: str, params: dict = None, timeout: float = 60) -> Result:
"""Make a GET request to the Flowery API. You should almost never have to use this directly.
Args:
endpoint (str): The endpoint to make the request to.
params (dict): Python dictionary of query parameters to send with the request.
timeout (float): Number of seconds to wait for the request to complete.
Raises:
TooManyRequests: Raised when the Flowery API returns a 429 status code
ClientError: Raised when the Flowery API returns a 4xx status code
InternalServerError: Raised when the Flowery API returns a 5xx status code
RetryLimitExceeded: Raised when the retry limit defined in the `FloweryAPIConfig` class (default 3) is exceeded
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Returns:
Result: A Result object containing the status code, message, and data from the request.
"""
return await self._do(http_method='GET', endpoint=endpoint, params=params, timeout=timeout)