(3.0.0) cleaned up uv dependencies for pep 735, made a backwards incompatible change in the FloweryApiConfig model, and set up ruff formatting

.forgejo/workflows/actions.yaml

@@ -81,7 +81,7 @@ jobs:
         run: uv python install 3.11
 
       - name: Install dependencies
-        run: uv sync --no-dev --extra=documentation
+        run: uv sync --group=docs --no-dev
 
       - name: Set environment variables
         uses: actions/env@v2

.gitignore

@@ -167,6 +167,3 @@ test.mp3
 
 # actions artifacts
 1/
-
-# virtual environnment
-.venv/

README.md

@@ -1,8 +1,8 @@
 # PyFlowery
 
-[<img alt="Actions Status" src="https://www.coastalcommits.com/cswimr/PyFlowery/badges/workflows/actions.yaml/badge.svg?style=plastic">](https://www.coastalcommits.com/cswimr/PyFlowery/actions?workflow=actions.yaml)
+[<img alt="Actions Status" src="https://www.coastalcommits.com/cswimr/pyflowery/badges/workflows/actions.yaml/badge.svg?style=plastic">](https://www.coastalcommits.com/cswimr/pyflowery/actions?workflow=actions.yaml)
 [<img alt="Documentation" src="https://img.shields.io/badge/docs-CoastalCommits%20Pages-3e83fd?logo=materialformkdocs&style=plastic">](https://pyflowery.coastalcommits.com)
 [<img alt="PyPI - Version" src="https://img.shields.io/pypi/v/pyflowery?style=plastic">](https://pypi.org/project/pyflowery/)
 [<img alt="PyPI - Python Version" src="https://img.shields.io/pypi/pyversions/pyflowery?style=plastic">](https://pypi.org/project/pyflowery/)
 [<img alt="PyPI - License" src="https://img.shields.io/pypi/l/pyflowery?style=plastic">](https://www.coastalcommits.com/cswimr/pyflowery/src/branch/main/LICENSE/)  
-A simple async Python API wrapper for the [Flowery API](https://flowery.pw/about)
+A simple async Python API wrapper for the [Flowery API](https://flowery.pw/about). See documentation [here](https://pyflowery.coastalcommits.com).

docs/getting-started/usage.md

@@ -8,7 +8,7 @@ To create an API client, you need to first import the `pyflowery.pyflowery.Flowe
 
 ```python
 from pyflowery import FloweryAPI, FloweryAPIConfig
-config = FloweryAPIConfig(user_agent="PyFlowery Documentation Example/example@gmail.com")
+config = FloweryAPIConfig(user_agent="PyFlowery Documentation Example/example@foobar.com")
 api = FloweryAPI(config)
 ```
 
@@ -21,7 +21,7 @@ So, whenever a `FloweryAPI` class is instantiated, it will automatically fetch a
 ```python
 # Set up the API client
 from pyflowery import FloweryAPI, FloweryAPIConfig
-config = FloweryAPIConfig(user_agent="PyFlowery Documentation Example/example@gmail.com")
+config = FloweryAPIConfig(user_agent="PyFlowery Documentation Example/example@foobar.com")
 api = FloweryAPI(config) # This will fetch all of the voices from the API and cache them automatically, you don't need to do that manually
 
 voices = api.get_voices(name="Alexander")
@@ -36,7 +36,7 @@ In most use cases, it is not necessary to manually update the voice cache. But,
 ```python
 import asyncio # This is required to run asynchronous code outside of async functions
 from pyflowery import FloweryAPI, FloweryAPIConfig
-config = FloweryAPIConfig(user_agent="PyFlowery Documentation Example/example@gmail.com")
+config = FloweryAPIConfig(user_agent="PyFlowery Documentation Example/example@foobar.com")
 api = FloweryAPI(config) # This will fetch all of the voices from the API and cache them automatically, you don't need to do that manually
 
 asyncio.run(api._populate_voices_cache()) # This will update the voice cache. This is what `FloweryAPI` calls automatically when it is instantiated
@@ -46,13 +46,15 @@ asyncio.run(api._populate_voices_cache()) # This will update the voice cache. Th
 
 If necessary, you can call the `fetch_voices()` or `fetch_voice()` methods. These methods will fetch the voices from the API directly, skipping the cache. This isn't recommended, though, as it puts more strain on the Flowery API.  
 
+<!-- markdownlint-disable code-block-style -->
+
 === "`fetch_voices()`"
     `fetch_voices()` returns an `AsyncContextManager`, so you need to iterate through it when you call it.
 
     ```python
     import asyncio
     from pyflowery import FloweryAPI, FloweryAPIConfig
-    config = FloweryAPIConfig(user_agent="PyFlowery Documentation Example/example@gmail.com")
+    config = FloweryAPIConfig(user_agent="PyFlowery Documentation Example/example@foobar.com")
     api = FloweryAPI(config)
 
     async def fetch_voices():
@@ -69,7 +71,7 @@ If necessary, you can call the `fetch_voices()` or `fetch_voice()` methods. Thes
     ```python
     import asyncio
     from pyflowery import FloweryAPI, FloweryAPIConfig
-    config = FloweryAPIConfig(user_agent="PyFlowery Documentation Example/example@gmail.com")
+    config = FloweryAPIConfig(user_agent="PyFlowery Documentation Example/example@foobar.com")
     api = FloweryAPI(config)
 
     voice_id = "38f45366-68e8-5d39-b1ef-3fd4eeb61cdb"
@@ -78,6 +80,8 @@ If necessary, you can call the `fetch_voices()` or `fetch_voice()` methods. Thes
     print(voice) # Voice(id='38f45366-68e8-5d39-b1ef-3fd4eeb61cdb', name='Jacob', gender='Male', source='Microsoft Azure', language=Language(name='English (United States)', code='en-US'))
     ```
 
+<!-- markdownlint-enable code-block-style -->
+
 ## Converting text to audio
 
 Finally, let's convert some text into audio. To do this, you can call the `fetch_tts()` method. This will return the bytes of the audio file.
@@ -85,7 +89,7 @@ Finally, let's convert some text into audio. To do this, you can call the `fetch
 ```python
 import asyncio
 from pyflowery import FloweryAPI, FloweryAPIConfig
-config = FloweryAPIConfig(user_agent="PyFlowery Documentation Example/example@gmail.com")
+config = FloweryAPIConfig(user_agent="PyFlowery Documentation Example/example@foobar.com")
 api = FloweryAPI(config)
 
 voice = api.get_voices(name="Alexander")[0]

pyflowery/models.py

@@ -17,11 +17,13 @@ class Voice:
         source (str): Source of the voice
         language (Language): Language object
     """
+
     id: str
     name: str
     gender: str
     source: str
-    language: 'Language'
+    language: "Language"
+
 
 @dataclass
 class Language:
@@ -31,9 +33,11 @@ class Language:
         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
@@ -44,9 +48,10 @@ class Result:
         message (str = ''): Human readable result
         data (Union[List[Dict], Dict, bytes]): Python List of Dictionaries (or maybe just a single Dictionary on error), can also be a ByteString
     """
+
     success: bool
     status_code: int
-    message: str = ''
+    message: str = ""
     data: Union[List[Dict], Dict, bytes] = field(default_factory=dict)
 
 
@@ -60,13 +65,18 @@ class FloweryAPIConfig:
         allow_truncation (bool): Whether to allow truncation of text that is too long, defaults to `True`
         retry_limit (int): Number of times to retry a request before giving up, defaults to `3`
         interval (int): Seconds to wait between each retried request, multiplied by how many attempted requests have been made, defaults to `5`
+
+    Properties:
+        prepended_user_agent (str): The user_agent with the PyFlowery module version prepended and the Python version appended
     """
+
     user_agent: str
-    logger: Logger = getLogger('pyflowery')
+    logger: Logger = getLogger("pyflowery")
     allow_truncation: bool = False
     retry_limit: int = 3
     interval: int = 5
 
+    @property
     def prepended_user_agent(self) -> str:
         """Return the user_agent with the PyFlowery module version prepended"""
         return f"PyFlowery/{VERSION} {self.user_agent} (Python {pyversion})"

pyflowery/pyflowery.py

@@ -12,7 +12,8 @@ class FloweryAPI:
         config (FloweryAPIConfig): Configuration object for the API
         adapter (RestAdapter): Adapter for making HTTP requests
     """
-    def __init__(self, config: FloweryAPIConfig):
+
+    def __init__(self, config: FloweryAPIConfig) -> None:
         self.config = config
         self.adapter = RestAdapter(config)
         self._voices_cache: Tuple[Voice] = ()
@@ -26,10 +27,10 @@ class FloweryAPI:
         else:
             asyncio.run(self._populate_voices_cache())
 
-    async def _populate_voices_cache(self):
+    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
-        self.config.logger.info('Voices cache populated!')
+        self._voices_cache = tuple([voice async for voice in self.fetch_voices()])  # pylint: disable=consider-using-generator
+        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.
@@ -71,7 +72,7 @@ class FloweryAPI:
         async for voice in self.fetch_voices():
             if voice.id == voice_id:
                 return voice
-        raise ValueError(f'Voice with ID {voice_id} not found.')
+        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
@@ -85,17 +86,19 @@ class FloweryAPI:
         Returns:
             AsyncGenerator[Voice, None]: A generator of Voices
         """
-        request = await self.adapter.get('/tts/voices')
-        for voice in request.data['voices']:
+        request = await self.adapter.get(endpoint="/tts/voices")
+        for voice in request.data["voices"]:
             yield Voice(
-                id=voice['id'],
-                name=voice['name'],
-                gender=voice['gender'],
-                source=voice['source'],
-                language=Language(**voice['language']),
+                id=voice["id"],
+                name=voice["name"],
+                gender=voice["gender"],
+                source=voice["source"],
+                language=Language(**voice["language"]),
             )
 
-    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:
+    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:
@@ -118,16 +121,16 @@ class FloweryAPI:
         """
         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')
+                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,
+            "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('/tts', params, timeout=180)
+            params["voice"] = voice.id if isinstance(voice, Voice) else voice
+        request = await self.adapter.get(endpoint="/tts", params=params, timeout=180)
         return request.data

pyflowery/rest_adapter.py

@@ -1,4 +1,4 @@
-"""This module contains the RestAdapter class, which is used to make requests to the Flowery API."""""
+"""This module contains the RestAdapter class, which is used to make requests to the Flowery API.""" ""
 from asyncio import sleep as asleep
 from json import JSONDecodeError
 
@@ -22,11 +22,12 @@ class RestAdapter:
     Raises:
         ValueError: Raised when the keyword arguments passed to the class constructor conflict.
     """
-    def __init__(self, config = FloweryAPIConfig):
+
+    def __init__(self, config=FloweryAPIConfig) -> None:
         self._url = "https://api.flowery.pw/v1"
         self.config = config
 
-    async def _do(self, http_method: str, endpoint: str, params: dict = None, timeout: float = 60):
+    async def _do(self, http_method: str, endpoint: str, params: dict = None, timeout: float = 60) -> Result | None:
         """Internal method to make a request to the Flowery API. You shouldn't use this directly.
 
         Args:
@@ -46,7 +47,7 @@ class RestAdapter:
         """
         full_url = self._url + endpoint
         headers = {
-            'User-Agent': self.config.prepended_user_agent(),
+            "User-Agent": self.config.prepended_user_agent,
         }
         sanitized_params = {k: str(v) if isinstance(v, bool) else v for k, v in params.items()} if params else None
         retry_counter = 0
@@ -84,9 +85,11 @@ class RestAdapter:
                         raise RetryLimitExceeded(message=f"Request failed more than {self.config.retry_limit} times, not retrying") from e
                     return result
 
-    async def get(self, endpoint: str, params: dict = None, timeout: float = 60) -> Result:
+    async def get(self, endpoint: str, params: dict = None, timeout: float = 60) -> Result | None:
         """Make a GET request to the Flowery API. You should almost never have to use this directly.
 
+        If you need to use this method because an endpoint is missing, please open an issue on the [CoastalCommits repository](https://www.coastalcommits.com/cswimr/PyFlowery/issues).
+
         Args:
             endpoint (str): The endpoint to make the request to.
             params (dict): Python dictionary of query parameters to send with the request.
@@ -101,4 +104,4 @@ class RestAdapter:
         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)
+        return await self._do(http_method="GET", endpoint=endpoint, params=params, timeout=timeout)

pyflowery/version.py

@@ -1 +1 @@
-VERSION = "2.1.3"
+VERSION = "3.0.0"

pyproject.toml

@@ -1,11 +1,11 @@
 [project]
 name = "pyflowery"
-version = "2.1.3"
+version = "3.0.0"
 description = "A Python API wrapper for the Flowery API"
 readme = "README.md"
 requires-python = "<4.0,>=3.11"
 dependencies = [
-    "aiohttp>=3.10.9",
+    "aiohttp>=3.11.2",
 ]
 classifiers = [
     "Topic :: Software Development :: Libraries :: Python Modules",
@@ -17,19 +17,24 @@ classifiers = [
     "Programming Language :: Python :: 3.13",
 ]
 
-[project.optional-dependencies]
-documentation = [
+[dependency-groups]
+dev = [
+    "mypy>=1.13.0",
+    "pylint>=3.3.1",
+    "ruff>=0.7.3",
+]
+docs = [
     "mkdocs>=1.6.1",
-    "mkdocs-git-authors-plugin>=0.9.0",
-    "mkdocs-git-revision-date-localized-plugin>=1.2.9",
-    "mkdocs-material[imaging]>=9.5.40",
-    "mkdocs-redirects>=1.2.1",
-    "mkdocstrings[python]>=0.26.1",
+    "mkdocs-git-authors-plugin>=0.9.2",
+    "mkdocs-git-revision-date-localized-plugin>=1.3.0",
+    "mkdocs-material[imaging]>=9.5.44",
+    "mkdocs-redirects>=1.2.2",
+    "mkdocstrings[python]>=0.27.0",
 ]
 
-[tool.uv]
-dev-dependencies = [
-    "mypy>=1.11.2",
-    "pylint>=3.3.1",
-    "ruff>=0.6.9",
-]
+[tool.ruff]
+line-length = 160
+
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"

tests/tests.py

@@ -2,39 +2,40 @@ import asyncio
 import logging
 import sys
 
-from pyflowery.models import FloweryAPIConfig
-from pyflowery.pyflowery import FloweryAPI
+from pyflowery import VERSION, FloweryAPI, FloweryAPIConfig
 
 root = logging.getLogger()
-root.setLevel(logging.DEBUG)
+root.setLevel(level=logging.DEBUG)
 
-handler = logging.StreamHandler(sys.stdout)
-handler.setLevel(logging.DEBUG)
-formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
-handler.setFormatter(formatter)
-root.addHandler(handler)
+handler = logging.StreamHandler(stream=sys.stdout)
+handler.setLevel(level=logging.DEBUG)
+formatter = logging.Formatter(fmt="%(asctime)s - %(name)s - %(levelname)s - %(message)s")
+handler.setFormatter(fmt=formatter)
+root.addHandler(hdlr=handler)
 
-api = FloweryAPI(FloweryAPIConfig(user_agent="PyFloweryTests"))
+api = FloweryAPI(config=FloweryAPIConfig(user_agent=f"PyFloweryTests/{VERSION}"))
 
-ALEXANDER = "fa3ea565-121f-5efd-b4e9-59895c77df23" # TikTok
-JACOB = "38f45366-68e8-5d39-b1ef-3fd4eeb61cdb" # Microsoft Azure
-STORMTROOPER = "191c5adc-a092-5eea-b4ff-ce01f66153ae" # TikTok
+ALEXANDER = "fa3ea565-121f-5efd-b4e9-59895c77df23"  # TikTok
+JACOB = "38f45366-68e8-5d39-b1ef-3fd4eeb61cdb"  # Microsoft Azure
+STORMTROOPER = "191c5adc-a092-5eea-b4ff-ce01f66153ae"  # TikTok
 
-async def test_fetch_tts():
+
+async def test_fetch_tts() -> None:
     """Test the fetch_tts method"""
     voice = api.get_voices(voice_id=ALEXANDER)[0]
     tts = await api.fetch_tts(text="Sphinx of black quartz, judge my vow. The quick brown fox jumps over a lazy dog.", voice=voice)
     try:
-        with open('test.mp3', 'wb') as f:
+        with open(file="test.mp3", mode="wb") as f:
             f.write(tts)
-    except Exception as e: # pylint: disable=broad-except
+    except Exception as e:  # pylint: disable=broad-except
         api.config.logger.error(e, exc_info=True)
-    long_string = 'a' * 2049
+    long_string = "a" * 2049
     try:
         await api.fetch_tts(text=long_string)
     except ValueError as e:
-        api.config.logger.error("This is expected to fail:\n%s", e, exc_info=True)
+        api.config.logger.error("This is expected to fail, and is not causing a non-zero exit code:\n%s", e, exc_info=True)
 
-if __name__ == '__main__':
+
+if __name__ == "__main__":
     api.config.logger.info("testing fetch_tts")
-    asyncio.run(test_fetch_tts())
+    asyncio.run(main=test_fetch_tts())

uv.lock

@@ -16,7 +16,7 @@ wheels = [
 
 [[package]]
 name = "aiohttp"
-version = "3.10.9"
+version = "3.11.2"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiohappyeyeballs" },
@@ -24,55 +24,56 @@ dependencies = [
     { name = "attrs" },
     { name = "frozenlist" },
     { name = "multidict" },
+    { name = "propcache" },
     { name = "yarl" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/14/40/f08c5d26398f987c1a27e1e351a4b461a01ffdbf9dde429c980db5286c92/aiohttp-3.10.9.tar.gz", hash = "sha256:143b0026a9dab07a05ad2dd9e46aa859bffdd6348ddc5967b42161168c24f857", size = 7541983 }
+sdist = { url = "https://files.pythonhosted.org/packages/55/68/97e4fab2add44bbd4b0107379d6900e80556c9a5d8ff548385690807b3f6/aiohttp-3.11.2.tar.gz", hash = "sha256:68d1f46f9387db3785508f5225d3acbc5825ca13d9c29f2b5cce203d5863eb79", size = 7658216 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/74/25/9cb2c6f7260e26ad67185b5deeb4e9eb002c352add9e7470ecda6174f3a1/aiohttp-3.10.9-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:16e6a51d8bc96b77f04a6764b4ad03eeef43baa32014fce71e882bd71302c7e4", size = 586917 },
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     { name = "pylint" },
     { name = "ruff" },
 ]
+docs = [
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+    { name = "mkdocs-git-authors-plugin" },
+    { name = "mkdocs-git-revision-date-localized-plugin" },
+    { name = "mkdocs-material", extra = ["imaging"] },
+    { name = "mkdocs-redirects" },
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 [package.metadata.requires-dev]
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+    { name = "mkdocs-redirects", specifier = ">=1.2.2" },
+    { name = "mkdocstrings", extras = ["python"], specifier = ">=0.27.0" },
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