PyFlowery/pyflowery/pyflowery.py
cswimr c4205fc4f1
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(3.1.0)
- improved version logic - now using hatch and hatch-vcs to automatically generate versions based on git tag / git commit / distance from last tag
- raise an error if the voices cache is not populated correctly
- lint with mypy in actions
- use pyproject.toml for pylint configuration
2024-11-15 11:14:33 -05:00

153 lines
7 KiB
Python

import asyncio
from typing import AsyncGenerator, Tuple
from pyflowery.exceptions import ResponseError
from pyflowery.models import FloweryAPIConfig, Language, Voice
from pyflowery.rest_adapter import RestAdapter
class FloweryAPI:
"""Main class for interacting with the Flowery API
Attributes:
config (FloweryAPIConfig): Configuration object for the API
adapter (RestAdapter): Adapter for making HTTP requests
"""
def __init__(self, config: FloweryAPIConfig) -> None:
self.config = config
self.adapter = RestAdapter(config=config)
self._voices_cache: Tuple[Voice, ...] = ()
try:
loop = asyncio.get_running_loop()
except RuntimeError:
loop = None
if loop and loop.is_running():
self.config.logger.info("Async event loop is already running. Adding `_populate_voices_cache()` to the event loop.")
asyncio.create_task(self._populate_voices_cache())
else:
asyncio.run(self._populate_voices_cache())
async def _populate_voices_cache(self) -> None:
"""Populate the voices cache. This method is called automatically when the FloweryAPI object is created, and should not be called directly."""
self._voices_cache = tuple([voice async for voice in self.fetch_voices()]) # pylint: disable=consider-using-generator
if not self._voices_cache:
raise ValueError("Failed to populate voices cache! Please report this issue at https://www.coastalcommits.com/cswimr/PyFlowery/issues.")
self.config.logger.info("Voices cache populated!")
def get_voices(self, voice_id: str | None = None, name: str | None = None) -> Tuple[Voice, ...] | None:
"""Get a set of voices from the cache.
Args:
voice_id (str): The ID of the voice
name (str): The name of the voice
Returns:
Tuple[Voice] | None: A tuple of Voice objects if found, otherwise None
"""
if voice_id:
voice = next((voice for voice in self._voices_cache if voice.id == voice_id), None)
return (voice,) if voice else None
if name:
voices = []
for voice in self._voices_cache:
if voice.name == name:
voices.append(voice)
return tuple(voices) or None
return self._voices_cache or None
async def fetch_voice(self, voice_id: str) -> Voice:
"""Fetch a voice from the Flowery API. This method bypasses the cache and directly queries the Flowery API. You should usually use `get_voices()` instead.
Args:
voice_id (str): The ID of the voice
Raises:
ValueError: Raised when the voice is not found
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
Returns:
Voice: The voice
"""
async for voice in self.fetch_voices():
if voice.id == voice_id:
return voice
raise ValueError(f"Voice with ID {voice_id} not found.")
async def fetch_voices(self) -> AsyncGenerator[Voice, None]:
"""Fetch a list of voices from the Flowery API
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
ResponseError: Raised when the Flowery API returns an empty response or a response with an unexpected format
RetryLimitExceeded: Raised when the retry limit defined in the `FloweryAPIConfig` class (default 3) is exceeded
Returns:
AsyncGenerator[Voice, None]: A generator of Voices
"""
request = await self.adapter.get(endpoint="/tts/voices")
if request is not None:
if isinstance(request.data, dict):
for voice in request.data.get("voices", []):
yield Voice(
id=voice["id"],
name=voice["name"],
gender=voice["gender"],
source=voice["source"],
language=Language(**voice["language"]),
)
else:
raise ResponseError(f"Invalid response from Flowery API: {request.data!r}")
else:
raise ResponseError("Invalid response from Flowery API: Empty Response!}")
async def fetch_tts(
self, text: str, voice: Voice | str | None = None, translate: bool = False, silence: int = 0, audio_format: str = "mp3", speed: float = 1.0
) -> bytes:
"""Fetch a TTS audio file from the Flowery API
Args:
text (str): The text to convert to speech
voice (Voice | str): The voice to use for the speech
translate (bool): Whether to translate the text
silence (int): Number of seconds of silence to add to the end of the audio
audio_format (str): The audio format to return
speed (float): The speed of the speech
Raises:
ValueError: Raised when the provided text is too long and `allow_truncation` in the `FloweryAPIConfig` class is set to `False` (default).
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
ResponseError: Raised when the Flowery API returns an empty response or a response with an unexpected format
RetryLimitExceeded: Raised when the retry limit defined in the `FloweryAPIConfig` class (default 3) is exceeded
Returns:
bytes: The audio file in bytes
"""
if len(text) > 2048:
if not self.config.allow_truncation:
raise ValueError("Text must be less than or equal to 2048 characters")
self.config.logger.warning("Text is too long, will be truncated to 2048 characters by the API")
params = {
"text": text,
"translate": str(translate).lower(),
"silence": silence,
"audio_format": audio_format,
"speed": speed,
}
if voice:
params["voice"] = voice.id if isinstance(voice, Voice) else voice
request = await self.adapter.get(endpoint="/tts", params=params, timeout=180)
if request is not None:
if isinstance(request.data, bytes):
return request.data
raise ResponseError(f"Invalid response from Flowery API: {request.data!r}")
raise ResponseError("Invalid response from Flowery API: Empty Response!}")