PyFlowery/pyflowery/models.py

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from dataclasses import dataclass, field
from logging import Logger, getLogger
from sys import version as pyversion
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from typing import Dict, List, Union
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from pyflowery.version import VERSION
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@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
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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
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"""
user_agent: str | None = None
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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})"