from dataclasses import dataclass, field from logging import Logger, getLogger from sys import version as pyversion from typing import Dict, List, Union from pyflowery.version import VERSION @dataclass class Voice: """Voice object returned from the Flowery API Attributes: id (str): UUID of the voice name (str): Name of the voice gender (str): Gender of the voice source (str): Source of the voice language (Language): Language object """ id: str name: str gender: str source: str language: 'Language' @dataclass class Language: """Language object returned from the Flowery API Attributes: name (str): Name of the language code (str): Code of the language """ name: str code: str @dataclass class Result: """Result returned from low-level RestAdapter Attributes: success (bool): Boolean of whether the request was successful status_code (int): Standard HTTP Status code message (str = ''): Human readable result data (Union[List[Dict], Dict]): Python List of Dictionaries (or maybe just a single Dictionary on error) """ success: bool status_code: int message: str = '' data: Union[List[Dict], Dict] = field(default_factory=dict) @dataclass class FloweryAPIConfig: """Configuration for the Flowery API Attributes: user_agent (str | None): User-Agent string to use for the HTTP requests logger (Logger): Logger to use for logging messages allow_truncation (bool): Whether to allow truncation of text that is too long retry_limit (int): Number of times to retry a request before giving up interval (int): Seconds to wait between each retried request, multiplied by how many attempted requests have been made """ user_agent: str | None = None logger: Logger = getLogger('pyflowery') allow_truncation: bool = False retry_limit: int = 3 interval: int = 5 def prepended_user_agent(self) -> str: """Return the user_agent with the PyFlowery module version prepended""" if not self.user_agent: return f"PyFlowery/{VERSION} (Python {pyversion})" return f"PyFlowery/{VERSION} {self.user_agent} (Python {pyversion})"