diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml index 521de2a..ad2dae4 100644 --- a/.github/workflows/publish.yml +++ b/.github/workflows/publish.yml @@ -3,7 +3,7 @@ name: Publish on: push: tags: - - '*' + - "*" jobs: release: @@ -11,14 +11,20 @@ jobs: id-token: write name: Release runs-on: ubuntu-latest + environment: release steps: - name: Checkout repo - uses: actions/checkout@v4 + uses: actions/checkout@v6 - name: Install uv - uses: astral-sh/setup-uv@v3 + uses: astral-sh/setup-uv@v7 with: - version: "0.5.4" + version: "0.10.10" - name: Build run: uv build - name: Publish run: uv publish + - name: Sleep + run: sleep 30s + shell: bash + - name: Test import + run: uv run --with quantum-random --no-project -- python -c "import qrandom" diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml index df34cdd..0995537 100644 --- a/.github/workflows/tests.yml +++ b/.github/workflows/tests.yml @@ -9,43 +9,41 @@ jobs: strategy: matrix: os: [ubuntu-latest, macos-latest, windows-latest] - python-version: ['3.9', '3.10', '3.11', '3.12', '3.13'] + python-version: ["3.10", "3.11", "3.12", "3.13", "3.14"] + env: + UV_PYTHON: ${{ matrix.python-version }} + UV_MANAGED_PYTHON: "1" defaults: run: shell: bash steps: - name: Checkout repo - uses: actions/checkout@v4 + uses: actions/checkout@v6 - name: Install uv - uses: astral-sh/setup-uv@v3 + uses: astral-sh/setup-uv@v7 with: - version: "0.5.4" - - name: Set up Python ${{ matrix.python-version }} - run: uv python install ${{ matrix.python-version }} + version: "0.10.10" - name: Install the project - run: uv sync --all-extras --dev + run: uv sync --all-extras --all-groups - name: Run pytest run: QRANDOM_API_KEY=key uv run pytest - - name: Run mypy - run: uv run mypy --install-types --non-interactive . + - name: Run ty + run: uv run ty check . lint: name: Lint runs-on: ubuntu-latest + env: + UV_PYTHON: "3.12" + UV_MANAGED_PYTHON: "1" steps: - name: Checkout repo - uses: actions/checkout@v4 + uses: actions/checkout@v6 - name: Install uv - uses: astral-sh/setup-uv@v3 + uses: astral-sh/setup-uv@v7 with: - version: "0.5.4" - - name: Set up Python - run: uv python install + version: "0.10.10" - name: Install the project - run: uv sync --all-extras --dev - - name: Run black - run: uv run black --check . - - name: Run isort - run: uv run isort --check . - - name: Run flake8 - run: uv run flake8 --extend-exclude .venv + run: uv sync --all-extras --all-groups + - name: Check linting + run: uv run ruff check . diff --git a/CLAUDE.md b/CLAUDE.md new file mode 100644 index 0000000..1d70cf7 --- /dev/null +++ b/CLAUDE.md @@ -0,0 +1,39 @@ +# quantum-random + +Python library for quantum random numbers, fetched from the [ANU Quantum Random Numbers Server](https://quantumnumbers.anu.edu.au). + +## Commands + +```bash +# Install with all extras and dev dependencies +uv sync --all-extras --all-groups + +# Run tests +QRANDOM_API_KEY=key uv run pytest + +# Type check +uv run ty check . + +# Lint +uv run ruff check . +``` + +## Structure + +- `src/qrandom/` — library source + - `_api.py` — HTTP client for the ANU API + - `_generator.py` — `random.Random` subclass backed by quantum randomness + - `_cli.py` — `qrandom-init` CLI for storing the API key + - `_util.py` — XDG config path utilities + - `numpy.py` — optional numpy/randomgen integration +- `tests/` — pytest tests +- `analysis/` — notebooks/scripts (not part of the package) + +## CI + +GitHub Actions runs tests across Python 3.10–3.14 on Linux, macOS, and Windows, plus a lint job pinned to 3.12. Python versions are managed via `UV_PYTHON` and `UV_MANAGED_PYTHON=1` env vars set at the job level. + +## Notes + +- API key is read from `QRANDOM_API_KEY` env var or a config file (`qrandom.ini`) in `QRANDOM_CONFIG_DIR` (defaults to XDG config home) +- Use `click.utils.strip_ansi()` on `result.output` in CLI test assertions to handle ANSI codes consistently across platforms diff --git a/README.md b/README.md index 76b2f84..aee0073 100644 --- a/README.md +++ b/README.md @@ -8,12 +8,11 @@ ![License](https://img.shields.io/github/license/sbalian/quantum-random) Use the [Python random module][pyrandom] with real quantum random numbers from -[ANU][anu]. The default pseudo-random generator is replaced by calls to -the ANU API. +[ANU Quantum Numbers][anu]. ## Usage -Import `qrandom` and use it like the standard `random` module. For example: +Import `qrandom` and use it like the standard `random` module: ```python >>> import qrandom @@ -28,10 +27,11 @@ Import `qrandom` and use it like the standard `random` module. For example: -0.8370871276247828 ``` -Alternatively, you can use the class `qrandom.QuantumRandom`. It has the same +You can also use the class `qrandom.QuantumRandom`. It has the same interface as `random.Random`. -There is also a [NumPy][numpy] interface, although it is not fully tested: +There is also a [NumPy][numpy] interface (implemented using [RandomGen][randomgen]) +but it is not fully tested: ```python >>> from qrandom.numpy import quantum_rng @@ -44,59 +44,45 @@ array([[0.37220278, 0.24337193, 0.67534826], [0.35894084, 0.72219929, 0.55388594]]) ``` -NumPy is supported using [RandomGen][randomgen]. - ## Installation -The minimum supported Python version is 3.9. Install with `pip`: - ```bash -pip install -U quantum-random +pip install quantum-random ``` -If you want NumPy support: +The minimum supported version of Python is 3.9. + +The NumPy interface is optional. To include it: ```bash -pip install -U 'quantum-random[numpy]' +pip install 'quantum-random[numpy]' ``` -## First-time setup: setting your API key +## Setting the ANU Quantum Numbers API key -ANU requires you to use an API key. You can get a free trial or pay for a key +ANU Quantum Numbers requires an API key. You can get a free trial or pay for a key [here][anupricing]. -You can pass your key to `qrandom` in three ways: +You can set the key in order of precedence as follows: -1. By setting the environment variable `QRANDOM_API_KEY`. -2. By running the included command line utility `qrandom-init` to save your -key in `qrandom.ini` in a subdirectory of your home config directory -as specified by XDG, e.g., `/home//.config/qrandom/`. -3. By running `qrandom-init` to save your key in `qrandom.ini` in a directory -of your choice, and then specifying this directory by setting -`QRANDOM_CONFIG_DIR`. +1. Set the `QRANDOM_API_KEY` environment variable. +2. Write the key to `qrandom.ini` using the `qrandom-init` setup utility (included with +the package). By default, the INI file is saved in your home config directory +(e.g., `~/.config/` in Linux) and `qrandom` will find it without you having to set +any environment variables. If you choose to save to a different location, you +must set `QRANDOM_CONFIG_DIR`. -If `QRANDOM_API_KEY` is set, its value is used as the API key and the -config file is not read. Otherwise, `qrandom` will look for the key -in the config directory. The config directory defaults to the XDG home config -and can be changed by setting `QRANDOM_CONFIG_DIR`. +The config file is ignored if `QRANDOM_API_KEY` is set. ## Pre-fetching batches -Batches of quantum numbers are fetched from the API as needed. -Each batch contains 1024 numbers. Use `qrandom.fill(n)` to fetch `n` batches -if you need to pre-fetch at the start of your computation. - -## Tests +Quantum numbers are fetched from the API in batches of 1024 as needed. Use +`qrandom.fill(n)` to pre-fetch `n` batches at the start of your computation. -The tests run for Python 3.9 - 3.12 on the latest Windows, -macOS and Ubuntu runner images. +## Implementation details -See [here](./analysis/uniform.md) for a visualisation and a Kolmogorov–Smirnov -test. - -## Notes on implementation - -The `qrandom` module exposes a class derived from `random.Random` with a +The default pseudo-random generator is replaced by calls to +the ANU API. The `qrandom` module exposes a class derived from `random.Random` with a `random()` method that outputs quantum floats in the range [0, 1) (converted from 64-bit integers). Overriding `random.Random.random` is sufficient to make the `qrandom` module behave mostly like the @@ -107,10 +93,6 @@ produce arbitrarily long sequences. Finally, the user is warned when `seed()` is called because the quantum generator has no state. For the same reason, `getstate()` and `setstate()` are not implemented. -## License - -See [LICENCE](./LICENSE). - [anu]: https://quantumnumbers.anu.edu.au [anupricing]: https://quantumnumbers.anu.edu.au/pricing [pyrandom]: https://docs.python.org/3/library/random.html diff --git a/analysis/README.md b/analysis/README.md index 36db50a..5f7c777 100644 --- a/analysis/README.md +++ b/analysis/README.md @@ -1,15 +1,16 @@ # Analysis -To run the analysis, first install the requirements (includes `quantum-random`): +To run the analysis, [install uv](https://docs.astral.sh/uv/getting-started/installation/), then: ```bash -pip install -r requirements.txt +cd analysis +uv sync --all-extras --all-groups ``` -Then run the script to generate the plot in `uniform.md`: +Next, run the script to generate the plot in `uniform.md`: ```bash -python generate_plot.py +uv run generate_plot.py ``` The output is written to `random.png`. diff --git a/analysis/generate_plot.py b/analysis/generate_plot.py index 7c18caf..d4fcc8e 100644 --- a/analysis/generate_plot.py +++ b/analysis/generate_plot.py @@ -1,12 +1,11 @@ import random -from typing import List, Tuple import matplotlib.pyplot as plt from scipy import stats import qrandom -DataType = Tuple[Tuple[List[float], str], Tuple[List[float], str]] +DataType = tuple[tuple[list[float], str], tuple[list[float], str]] def generate_data() -> DataType: diff --git a/analysis/requirements.txt b/analysis/requirements.txt deleted file mode 100644 index 6e69e5d..0000000 --- a/analysis/requirements.txt +++ /dev/null @@ -1,3 +0,0 @@ -scipy -matplotlib -quantum-random diff --git a/pyproject.toml b/pyproject.toml index f466bec..5cf4e72 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "quantum-random" -version = "1.4.2" +version = "1.5.0" description = "Quantum random numbers" readme = "README.md" license = {text = "MIT License"} @@ -24,29 +24,31 @@ classifiers = [ "Operating System :: MacOS", "License :: OSI Approved :: MIT License", ] -requires-python = ">=3.9" +requires-python = ">=3.10" dependencies = [ - "click>=8.1.7", - "requests>=2.32.3", - "xdg>=6.0.0", + "requests>=2.32.5", + "typer>=0.24.1", ] [project.optional-dependencies] numpy = [ - "numpy>=2.0.2", - "randomgen>=2.1.1", + "numpy>=2.2.6", + "randomgen>=2.3.0", ] [dependency-groups] dev = [ - "pytest-mock>=3.14.0", - "pytest>=8.3.3", - "responses>=0.25.3", - "mypy>=1.13.0", - "flake8>=7.1.1", - "isort>=5.13.2", - "black>=24.10.0", - "pip>=24.3.1", + "click>=8.3.1", + "ipython>=8.38.0", + "matplotlib>=3.10.8", + "numpy>=2.2.6", + "pytest>=9.0.2", + "pytest-mock>=3.15.1", + "randomgen>=2.3.0", + "responses>=0.26.0", + "ruff>=0.15.6", + "scipy>=1.15.3", + "ty>=0.0.23", ] [project.scripts] @@ -63,17 +65,11 @@ build-backend = "hatchling.build" [tool.hatch.build.targets.wheel] packages = ["src/qrandom"] -[tool.pytest.ini_options] -addopts = "--verbose" -testpaths = "tests" +[tool.ruff] +target-version = "py312" -[tool.mypy] -ignore_missing_imports = true +[tool.ruff.lint] +select = ["F", "E", "W", "I001"] -[tool.black] -line-length = 79 - -[tool.isort] -profile = "black" -line_length = 79 -known_first_party = ["qrandom"] +[tool.ruff.lint.isort] +known-first-party = ["qrandom"] diff --git a/src/qrandom/__init__.py b/src/qrandom/__init__.py index 2257f91..91b42a3 100644 --- a/src/qrandom/__init__.py +++ b/src/qrandom/__init__.py @@ -15,7 +15,7 @@ import sys -from ._generator import QuantumRandom +from qrandom._generator import QuantumRandom __all__ = [ "QuantumRandom", @@ -43,14 +43,11 @@ "fill", ] - _inst = QuantumRandom() betavariate = _inst.betavariate - if (sys.version_info.major, sys.version_info.minor) >= (3, 12): - binomialvariate = _inst.binomialvariate # type: ignore[attr-defined] + binomialvariate = _inst.binomialvariate __all__.append("binomialvariate") - choice = _inst.choice choices = _inst.choices expovariate = _inst.expovariate @@ -71,4 +68,5 @@ uniform = _inst.uniform vonmisesvariate = _inst.vonmisesvariate weibullvariate = _inst.weibullvariate + fill = _inst.fill diff --git a/src/qrandom/_api.py b/src/qrandom/_api.py index e2b7540..b893e3c 100644 --- a/src/qrandom/_api.py +++ b/src/qrandom/_api.py @@ -1,20 +1,19 @@ import configparser import os import pathlib -from typing import Dict, List, Optional, TypedDict, Union +from typing import TypedDict import requests -import xdg +from qrandom import _exceptions, _util -def find_api_key() -> Union[str, None]: - """Return the ANU API key if found, otherwise, return None. - 1. Return QRANDOM_API_KEY if defined. - 2. Get the config file as $QRANDOM_CONFIG_DIR/qrandom.ini (defaulting - to the XDG home config directory if QRANDOM_CONFIG_DIR is not defined). - 3. Read the key from the config file if the file exists, otherwise, return - None. +def find_api_key() -> str: + """Return the ANU API key. Raise APIKeyNotFoundError if the key is not found. + + - Return QRANDOM_API_KEY if defined. + - Return the key from the config file $QRANDOM_CONFIG_DIR/qrandom.ini (using + ~/.config/qrandom/qrandom.ini if QRANDOM_CONFIG_DIR is not defined). """ api_key = os.getenv("QRANDOM_API_KEY") @@ -24,7 +23,8 @@ def find_api_key() -> Union[str, None]: config_path = ( pathlib.Path( os.getenv( - "QRANDOM_CONFIG_DIR", str(xdg.xdg_config_home() / "qrandom") + "QRANDOM_CONFIG_DIR", + (_util.xdg_config_home() / "qrandom").as_posix(), ) ) .expanduser() @@ -34,32 +34,41 @@ def find_api_key() -> Union[str, None]: if config_path.exists(): config = configparser.ConfigParser() config.read(config_path) - return config["default"]["key"] + try: + return config["default"]["key"] + except KeyError as e: + raise _exceptions.APIKeyNotFoundError( + f"KeyError: '{e}' not found in config file. " + "Format is an INI file with contents:\n\n" + "[default]\n" + "key=\n\n" + "Fix the file, set QRANDOM_API_KEY or run qrandom-init." + ) else: - return None + raise _exceptions.APIKeyNotFoundError( + "API key not set (set QRANDOM_API_KEY or run qrandom-init)" + ) class Response(TypedDict): success: bool type: str length: str - data: List[str] + data: list[str] class Client: url = "https://api.quantumnumbers.anu.edu.au" - def __init__( - self, key: Optional[str] = None, batch_size: int = 1024 - ) -> None: + def __init__(self, key: str, batch_size: int = 1024) -> None: """ANU API client. The API key can be obtained from https://quantumnumbers.anu.edu.au/pricing. batch_size is the number of numbers fetched (1024 by default). - """ # noqa: E501 + """ self.key = key - self.params: Dict[str, Union[int, str]] = { + self.params: dict[str, int | str] = { "length": batch_size, "type": "hex16", "size": 4, @@ -74,10 +83,6 @@ def fetch_hex_raw(self) -> Response: batch_size > 1024. """ - if self.key is None: - raise RuntimeError( - "API key not set (set QRANDOM_API_KEY or run qrandom-init)" - ) response = requests.get( self.url, params=self.params, headers={"x-api-key": self.key} ) @@ -100,7 +105,7 @@ def fetch_hex_raw(self) -> Response: ) return r_json - def fetch_hex(self) -> List[str]: + def fetch_hex(self) -> list[str]: """Gets hexadecimal random numbers from the ANU API. Calls Client.fetch_hex_raw(batch_size) and processes the response. @@ -108,7 +113,7 @@ def fetch_hex(self) -> List[str]: """ return self.fetch_hex_raw()["data"] - def fetch_int64(self) -> List[int]: + def fetch_int64(self) -> list[int]: """Gets random int64s from the ANU API. Calls Client.fetch_hex(batch_size) and converts the hex numbers to diff --git a/src/qrandom/_cli.py b/src/qrandom/_cli.py index 17ff628..bea3fac 100644 --- a/src/qrandom/_cli.py +++ b/src/qrandom/_cli.py @@ -1,34 +1,36 @@ import configparser import os import pathlib -import sys -import click -import xdg +import typer +from qrandom import _util -@click.command() -def main() -> None: +app = typer.Typer() + + +@app.command() +def main(): """This utility will help you set the API key for the qrandom package. You can get a key from https://quantumnumbers.anu.edu.au/pricing. """ - default_config_dir = xdg.xdg_config_home() / "qrandom" + default_config_dir = _util.xdg_config_home() / "qrandom" - config_dir = click.prompt( + config_dir: pathlib.Path = typer.prompt( "Where would you like to store the key?", type=pathlib.Path, default=default_config_dir, ) config_dir = config_dir.expanduser().resolve() if config_dir.exists() and config_dir.is_file(): - click.echo(f"{config_dir} is not a directory.", err=True) - sys.exit(1) + typer.echo(f"{config_dir} is not a directory.", err=True) + raise typer.Exit(code=1) config_path = config_dir / "qrandom.ini" if config_path.exists(): - click.confirm( + typer.confirm( f"Would you like to overwrite {config_path}?", abort=True, ) @@ -36,7 +38,7 @@ def main() -> None: config = configparser.ConfigParser() config.add_section("default") - api_key = click.prompt( + api_key: str = typer.prompt( "Enter your API key", type=str, ) @@ -45,10 +47,9 @@ def main() -> None: config["default"]["key"] = api_key with open(config_path, "w") as f: config.write(f) - click.echo(f"Stored API key in {config_path}.") + typer.echo(f"Stored API key in {config_path}.") if config_dir != default_config_dir: - click.echo( + typer.echo( "Since you did not write to the default path, " f"do not forget to set QRANDOM_CONFIG_DIR to {config_dir}." ) - return diff --git a/src/qrandom/_exceptions.py b/src/qrandom/_exceptions.py new file mode 100644 index 0000000..d98fee7 --- /dev/null +++ b/src/qrandom/_exceptions.py @@ -0,0 +1,2 @@ +class APIKeyNotFoundError(Exception): + pass diff --git a/src/qrandom/_generator.py b/src/qrandom/_generator.py index a1f3b0c..aa5b755 100644 --- a/src/qrandom/_generator.py +++ b/src/qrandom/_generator.py @@ -1,8 +1,8 @@ import random as pyrandom import warnings -from typing import List, NoReturn +from typing import NoReturn -from . import _api +from qrandom import _api class QuantumRandom(pyrandom.Random): @@ -18,12 +18,10 @@ def __init__(self, batch_size: int = 1024): with warnings.catch_warnings(): warnings.simplefilter("ignore", category=UserWarning) super().__init__() - self._rand_int64: List[int] = [] + self._rand_int64: list[int] = [] if not (0 < batch_size <= 1024): raise ValueError("batch_size must be > 0 and up to 1024") - self._api_client = _api.Client( - _api.find_api_key(), batch_size=batch_size - ) + self._api_client = _api.Client(_api.find_api_key(), batch_size=batch_size) return def fill(self, n: int = 1): diff --git a/src/qrandom/_util.py b/src/qrandom/_util.py new file mode 100644 index 0000000..ad8911a --- /dev/null +++ b/src/qrandom/_util.py @@ -0,0 +1,5 @@ +import pathlib + + +def xdg_config_home() -> pathlib.Path: + return pathlib.Path.home() / ".config" diff --git a/src/qrandom/numpy.py b/src/qrandom/numpy.py index 9dfd787..1b58dc3 100644 --- a/src/qrandom/numpy.py +++ b/src/qrandom/numpy.py @@ -5,7 +5,7 @@ import randomgen from numpy import random as numpy_random -from . import _generator +from qrandom import _generator class _ANUQRNG(_generator.QuantumRandom): @@ -25,4 +25,4 @@ def quantum_rng(batch_size: int = 1024): """ qrn = _ANUQRNG(batch_size=batch_size) - return numpy_random.Generator(randomgen.UserBitGenerator(qrn.random_raw)) # type: ignore[arg-type] # noqa: E501 + return numpy_random.Generator(randomgen.UserBitGenerator(qrn.random_raw)) # ty: ignore[invalid-argument-type] diff --git a/tests/conftest.py b/tests/conftest.py index df66fae..3b2305e 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -24,9 +24,7 @@ def anu_url(): @pytest.fixture -def api_client_with_successful_api_call( - mocked_responses, anu_url, test_responses -): +def api_client_with_successful_api_call(mocked_responses, anu_url, test_responses): mocked_responses.get( anu_url, json={"data": test_responses[0]["data"], "success": True}, @@ -46,9 +44,7 @@ def api_client_with_failed_api_call(mocked_responses, anu_url): @pytest.fixture -def api_client_with_failed_api_call_and_no_json_response( - mocked_responses, anu_url -): +def api_client_with_failed_api_call_and_no_json_response(mocked_responses, anu_url): mocked_responses.get( anu_url, status=400, @@ -99,9 +95,7 @@ def quantum_random_with_mocked_fetch_hex_raw_twice(mocker, test_responses): @pytest.fixture -def quantum_random_with_mocked_fetch_hex_raw_five_times( - mocker, test_responses -): +def quantum_random_with_mocked_fetch_hex_raw_five_times(mocker, test_responses): mocker.patch( "qrandom._api.Client.fetch_hex_raw", side_effect=[test_responses[i] for i in range(5)], @@ -110,9 +104,7 @@ def quantum_random_with_mocked_fetch_hex_raw_five_times( @pytest.fixture -def quantum_random_with_mocked_fetch_hex_raw_for_all_data( - mocker, test_responses -): +def quantum_random_with_mocked_fetch_hex_raw_for_all_data(mocker, test_responses): mocker.patch( "qrandom._api.Client.fetch_hex_raw", side_effect=test_responses, diff --git a/tests/test_api.py b/tests/test_api.py index 3ad4365..c402551 100644 --- a/tests/test_api.py +++ b/tests/test_api.py @@ -3,17 +3,17 @@ import pytest import requests -from qrandom import _api +from qrandom import _api, _exceptions def test_client_url(anu_url): - client = _api.Client() + client = _api.Client(key="key") assert client.url == anu_url -def test_client_constructs_correctly_by_default(): - client = _api.Client() - assert client.key is None +def test_client_constructs_correctly(): + client = _api.Client(key="key") + assert client.key == "key" assert client.params == { "length": 1024, "type": "hex16", @@ -22,8 +22,8 @@ def test_client_constructs_correctly_by_default(): def test_client_constructs_correctly_passing_batch_size(): - client = _api.Client(batch_size=10) - assert client.key is None + client = _api.Client(key="key", batch_size=10) + assert client.key == "key" assert client.params == { "length": 10, "type": "hex16", @@ -66,16 +66,6 @@ def test_fetch_hex_raw_returns_correctly_with_set_batch_size( assert len(r_json["data"]) == 1023 -def test_fetch_hex_raw_raises_when_api_key_not_found(): - client = _api.Client() - with pytest.raises(RuntimeError) as exc_info: - client.fetch_hex_raw() - assert ( - exc_info.value.args[0] - == "API key not set (set QRANDOM_API_KEY or run qrandom-init)" - ) - - def test_fetch_hex_raw_raises_on_failed_api_call( api_client_with_failed_api_call, ): @@ -143,14 +133,12 @@ def test_find_api_key_from_default_config_dir(mocker, tmp_path): config_dir = tmp_path / "qrandom" config_dir.mkdir() environ = { - name: value - for name, value in os.environ.items() - if name != "QRANDOM_API_KEY" + name: value for name, value in os.environ.items() if name != "QRANDOM_API_KEY" } mocker.patch.dict(os.environ, environ, clear=True) with open(config_dir / "qrandom.ini", "w") as f: f.write("[default]\nkey = key-from-file\n") - mocker.patch("xdg.xdg_config_home", return_value=tmp_path) + mocker.patch("qrandom._util.xdg_config_home", return_value=tmp_path) assert _api.find_api_key() == "key-from-file" @@ -158,9 +146,7 @@ def test_find_api_key_from_set_config_dir(mocker, tmp_path): config_dir = tmp_path / "qrandom" config_dir.mkdir() environ = { - name: value - for name, value in os.environ.items() - if name != "QRANDOM_API_KEY" + name: value for name, value in os.environ.items() if name != "QRANDOM_API_KEY" } environ["QRANDOM_CONFIG_DIR"] = str(config_dir) mocker.patch.dict(os.environ, environ, clear=True) @@ -169,16 +155,15 @@ def test_find_api_key_from_set_config_dir(mocker, tmp_path): assert _api.find_api_key() == "key-from-file" -def test_find_api_key_returns_none_if_config_doesnt_exist_and_env_var_not_set( +def test_find_api_key_raises_if_config_doesnt_exist_and_env_var_not_set( mocker, tmp_path ): config_dir = tmp_path / "qrandom" config_dir.mkdir() environ = { - name: value - for name, value in os.environ.items() - if name != "QRANDOM_API_KEY" + name: value for name, value in os.environ.items() if name != "QRANDOM_API_KEY" } environ["QRANDOM_CONFIG_DIR"] = str(config_dir) mocker.patch.dict(os.environ, environ, clear=True) - assert _api.find_api_key() is None + with pytest.raises(_exceptions.APIKeyNotFoundError): + _api.find_api_key() diff --git a/tests/test_cli.py b/tests/test_cli.py index b813765..cdb6c8d 100644 --- a/tests/test_cli.py +++ b/tests/test_cli.py @@ -1,19 +1,20 @@ import configparser +import pathlib -import xdg -from click.testing import CliRunner +import click +from typer.testing import CliRunner -from qrandom import _cli +from qrandom import _cli, _util def test_default_flow(tmp_path, mocker): config_dir = tmp_path / ".config" - mocker.patch("xdg.xdg_config_home", return_value=config_dir) + mocker.patch("qrandom._util.xdg_config_home", return_value=config_dir) runner = CliRunner() with runner.isolated_filesystem(temp_dir=tmp_path): - result = runner.invoke(_cli.main, input="\nmy-key") + result = runner.invoke(_cli.app, input="\nmy-key") assert result.exit_code == 0 - assert result.output == ( + assert click.utils.strip_ansi(result.output) == ( "Where would you like to store the key? " f"[{config_dir / 'qrandom'}]: \n" "Enter your API key: my-key\n" @@ -28,11 +29,11 @@ def test_user_provides_custom_dir(tmp_path): config_dir = tmp_path / "key-dir" runner = CliRunner() with runner.isolated_filesystem(temp_dir=tmp_path): - result = runner.invoke(_cli.main, input=f"{config_dir}\nmy-key") + result = runner.invoke(_cli.app, input=f"{config_dir}\nmy-key") assert result.exit_code == 0 - assert result.output == ( + assert click.utils.strip_ansi(result.output) == ( "Where would you like to store the key? " - f"[{xdg.xdg_config_home() / 'qrandom'}]: {config_dir}\n" + f"[{_util.xdg_config_home() / 'qrandom'}]: {config_dir}\n" "Enter your API key: my-key\n" f"Stored API key in {config_dir / 'qrandom.ini'}.\n" "Since you did not write to the default path, do not forget to " @@ -49,11 +50,11 @@ def test_quits_if_config_is_not_a_directory(tmp_path): f.write("xyz") runner = CliRunner() with runner.isolated_filesystem(temp_dir=tmp_path): - result = runner.invoke(_cli.main, input=f"{config_path}") + result = runner.invoke(_cli.app, input=f"{config_path}") assert result.exit_code == 1 - assert result.output == ( + assert click.utils.strip_ansi(result.output) == ( "Where would you like to store the key? " - f"[{xdg.xdg_config_home() / 'qrandom'}]: {config_path}\n" + f"[{_util.xdg_config_home() / 'qrandom'}]: {config_path}\n" f"{config_path} is not a directory.\n" ) @@ -66,11 +67,11 @@ def test_confirm_overwrite(tmp_path): f.write("xyz") runner = CliRunner() with runner.isolated_filesystem(temp_dir=tmp_path): - result = runner.invoke(_cli.main, input=f"{config_dir}\ny\nmy-key") + result = runner.invoke(_cli.app, input=f"{config_dir}\ny\nmy-key") assert result.exit_code == 0 - assert result.output == ( + assert click.utils.strip_ansi(result.output) == ( "Where would you like to store the key? " - f"[{xdg.xdg_config_home() / 'qrandom'}]: {config_dir}\n" + f"[{_util.xdg_config_home() / 'qrandom'}]: {config_dir}\n" f"Would you like to overwrite {config_path}? [y/N]: y\n" "Enter your API key: my-key\n" f"Stored API key in {config_dir / 'qrandom.ini'}.\n" @@ -90,11 +91,11 @@ def test_do_not_overwrite(tmp_path): f.write("xyz") runner = CliRunner() with runner.isolated_filesystem(temp_dir=tmp_path): - result = runner.invoke(_cli.main, input=f"{config_dir}\nn\nmy-key") + result = runner.invoke(_cli.app, input=f"{config_dir}\nn\nmy-key") assert result.exit_code == 1 - assert result.output == ( + assert click.utils.strip_ansi(result.output) == ( "Where would you like to store the key? " - f"[{xdg.xdg_config_home() / 'qrandom'}]: {config_dir}\n" + f"[{pathlib.Path.home() / '.config' / 'qrandom'}]: {config_dir}\n" f"Would you like to overwrite {config_path}? [y/N]: n\n" - "Aborted!\n" + "Aborted.\n" ) diff --git a/tests/test_generator.py b/tests/test_generator.py index 0177e47..f9e5f89 100644 --- a/tests/test_generator.py +++ b/tests/test_generator.py @@ -22,9 +22,7 @@ def test_set_state_raises_on_call(quantum_random_with_no_api_calls): def test_seed_warns_on_call(quantum_random_with_no_api_calls): - with pytest.warns( - UserWarning, match=quantum_random_with_no_api_calls.seed.__doc__ - ): + with pytest.warns(UserWarning, match=quantum_random_with_no_api_calls.seed.__doc__): quantum_random_with_no_api_calls.seed() @@ -37,18 +35,14 @@ def test_fill_gets_2048_nums_after_two_calls( quantum_random_with_mocked_fetch_hex_raw_twice, ): quantum_random_with_mocked_fetch_hex_raw_twice.fill(2) - assert ( - len(quantum_random_with_mocked_fetch_hex_raw_twice._rand_int64) == 2048 - ) + assert len(quantum_random_with_mocked_fetch_hex_raw_twice._rand_int64) == 2048 def test_get_rand_int64(quantum_random_with_mocked_fetch_hex_raw_five_times): for call in 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