diff --git a/.github/workflows/lint.yml b/.github/workflows/lint.yml index 1950ba3d..5fa4fb50 100644 --- a/.github/workflows/lint.yml +++ b/.github/workflows/lint.yml @@ -32,7 +32,7 @@ jobs: uses: snok/install-poetry@v1.3.0 with: virtualenvs-create: true - virtualenvs-in-project: false + virtualenvs-in-project: true installer-parallel: true - name: Load cached poetry dependencies diff --git a/.github/workflows/web.yml b/.github/workflows/web.yml new file mode 100644 index 00000000..ad86800b --- /dev/null +++ b/.github/workflows/web.yml @@ -0,0 +1,48 @@ +name: build web + +on: + pull_request: + paths: + - "src/web/app/**" + +jobs: + web: + runs-on: ubuntu-latest + permissions: + contents: write + steps: + - name: Check out repository + uses: actions/checkout@v4 + with: + ref: ${{ github.head_ref }} + + - name: Use node + uses: actions/setup-node@v4 + with: + cache: "npm" + cache-dependency-path: "src/web/app/package-lock.json" + + - name: Installing project dependencies + run: npm install + working-directory: src/web/app + + - name: "Create env file" + run: | + touch src/web/app/.env + echo VUE_APP_BACKEND_URL=localhost:8080 >> src/web/app/.env + + - name: Building the project + run: npm run build + working-directory: src/web/app + + - uses: vimtor/action-zip@v1.1 + name: Create zip file + with: + files: src/web/app/dist/ + dest: src/web/app/dist.zip + + - name: Commit & Push changes + uses: stefanzweifel/git-auto-commit-action@v5 + with: + commit_message: Updating web build [skip ci] + file_pattern: src/web/app/dist.zip diff --git a/Dockerfile b/Dockerfile index 91ac5a6d..dac9a6a2 100644 --- a/Dockerfile +++ b/Dockerfile @@ -1,4 +1,9 @@ -FROM python:3.10.0 as build +FROM python:3.11.0 as build + +# Install system dependencies for HDF5 +RUN apt-get update && apt-get install -y \ + libhdf5-dev python3-h5py \ + && rm -rf /var/lib/apt/lists/* WORKDIR /ndk @@ -19,7 +24,7 @@ ENV POETRY_VIRTUALENVS_CREATE=false RUN ./venv/bin/poetry install && \ ./venv/bin/pip install git+https://github.com/trustimaging/stride@2520c59 -FROM python:3.10.0-slim +FROM python:3.11.0-slim COPY --from=build /ndk /ndk WORKDIR /ndk @@ -27,7 +32,7 @@ WORKDIR /ndk RUN ./venv/bin/pip install --upgrade pip RUN apt-get update && \ - apt-get install -y g++ jq make unzip wget ffmpeg && \ + apt-get install -y g++ jq make unzip wget ffmpeg libhdf5-dev python3-h5py && \ apt-get clean && \ rm -rf /var/lib/apt/lists/* diff --git a/Makefile b/Makefile index 540478de..557dc9fd 100644 --- a/Makefile +++ b/Makefile @@ -1,15 +1,15 @@ -.PHONY:help lint lint-check test test-coverage test-unit test-integration docs +.PHONY:help lint lint-check test test-coverage test-unit test-integration docs web help: - @echo "Available commands are: \n*lint, lint-check, spellcheck, test, test-unit, test-integration docs" + @echo "Available commands are: \n*lint, lint-check, spellcheck, test, test-unit, test-integration docs web" lint: poetry run isort src tests docs/examples poetry run black src tests docs/examples - poetry run flake8 src tests docs/examples - poetry run mypy src docs/examples - poetry run codespell src docs/examples - poetry run pydocstyle src + poetry run flake8 --exclude=src/web/app/ src tests docs/examples + poetry run mypy --exclude=src/web/app/ src docs/examples + poetry run codespell --skip="src/web/app" src docs/examples + poetry run pydocstyle --match-dir="^(src/web/app)" src poetry run pyright spellcheck: @@ -25,10 +25,10 @@ spellcheck: lint-check: poetry run isort --check src tests docs/examples poetry run black --check src tests docs/examples - poetry run flake8 src tests docs/examples - poetry run mypy src docs/examples - poetry run codespell src docs/examples - poetry run pydocstyle src + poetry run flake8 --exclude=src/web/app/ src tests docs/examples + poetry run mypy --exclude=src/web/app/ src docs/examples + poetry run codespell --skip="src/web/app" src docs/examples + poetry run pydocstyle --match-dir="^(src/web/app)" src poetry run pyright --warnings test: @@ -44,4 +44,7 @@ test-integration: poetry run pytest tests -m "integration" docs: - poetry run mkdocs build \ No newline at end of file + poetry run mkdocs build + +web: + poetry run ndk-ui diff --git a/docker-compose.yml b/docker-compose.yml index 83377c5d..751814ae 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -7,3 +7,10 @@ services: - ./notebooks:/ndk/notebooks ports: - 8888:8888 + + ndk-ui: + image: ghcr.io/agencyenterprise/neurotechdevkit:latest + working_dir: /ndk + command: python src/web/app.py + ports: + - 8080:8080 diff --git a/docs/contributing.md b/docs/contributing.md index 85b6aa80..1967c010 100644 --- a/docs/contributing.md +++ b/docs/contributing.md @@ -37,11 +37,21 @@ If you don't want to install NDK's dependencies on your machine, you can run it * Run the container, which will start a jupyter notebook server: ``` - docker compose up + docker compose up ndk ``` * Connect to the jupyter notebook directly in your browser or with your IDE. + +Alternatively, you can start the web user interface with: + + ``` + docker compose up ndk-ui + ``` + +* Open the address `http://127.0.0.1:8080/` in your browser to access it. + + #### Running locally This project requires Python `>=3.9` and `<3.11` to be installed. You can find the Python version you have installed by running `python --version` in a terminal. If you don't have Python installed or are running an unsupported version, you can download a supported version from [python.org](https://www.python.org/downloads/). diff --git a/docs/examples/plot_phased_array_source.py b/docs/examples/plot_phased_array_source.py index e66fee79..20a6261a 100644 --- a/docs/examples/plot_phased_array_source.py +++ b/docs/examples/plot_phased_array_source.py @@ -213,7 +213,7 @@ phased_3d = ndk.sources.PhasedArraySource3D( position=[0.0, 0.0, 0.0], direction=[1.0, 0.0, 0.0], - center_line=np.array([0.0, 0.0, 1.0]), + center_line=[0.0, 0.0, 1.0], num_points=20_000, num_elements=16, pitch=1.5e-3, diff --git a/docs/examples/plot_ultrasound_imaging_multiplane.py b/docs/examples/plot_ultrasound_imaging_multiplane.py index 187b5d2a..cd1c84be 100644 --- a/docs/examples/plot_ultrasound_imaging_multiplane.py +++ b/docs/examples/plot_ultrasound_imaging_multiplane.py @@ -29,7 +29,7 @@ """ # %% -from typing import List +from typing import List, cast import matplotlib.pyplot as plt import numpy as np @@ -129,6 +129,7 @@ def create_scenario(tilt_angle: float = 0.0) -> Scenario3: # - rho - density # - alpha - attenuation fig, axs = plt.subplots(1, 3, figsize=(15, 5)) +axs = cast(np.ndarray, axs) for idx, attribute in enumerate(["vp", "rho", "alpha"]): im = axs[idx].imshow(getattr(scenario.problem.medium, attribute).data) @@ -271,7 +272,7 @@ def calc_simulation_time(scenario: Scenario3): # Plot with some offsets CHANNEL_OFFSET = 1000 -_ = plt.plot( +plt.plot( time[valid_time_mask] * 1e3, rf_signal_visualize[valid_time_mask] + np.linspace(-0.5, 0.5, num=NUM_VISUALIZE, endpoint=True) @@ -282,9 +283,9 @@ def calc_simulation_time(scenario: Scenario3): for (channel_idx, echo_idx) in zip(channel_idxs, pulse_idxs) ], ) -_ = plt.legend() -_ = plt.title("Example radiofrequency signals (RF)") -_ = plt.xlabel("time [ms]") +plt.legend() +plt.title("Example radiofrequency signals (RF)") +plt.xlabel("time [ms]") # %% [markdown] # Plotting across elements (for a single shot) shows the typical diff --git a/docs/examples/plot_ultrasound_imaging_scanline.py b/docs/examples/plot_ultrasound_imaging_scanline.py index 77f56fa5..21f4b8cf 100644 --- a/docs/examples/plot_ultrasound_imaging_scanline.py +++ b/docs/examples/plot_ultrasound_imaging_scanline.py @@ -30,7 +30,7 @@ """ # %% -from typing import List +from typing import List, cast import matplotlib.pyplot as plt import numpy as np @@ -129,6 +129,7 @@ def create_scenario(tilt_angle: float = 0.0) -> Scenario3: # - rho - density # - alpha - attenuation fig, axs = plt.subplots(1, 3, figsize=(15, 5)) +axs = cast(np.ndarray, axs) for idx, attribute in enumerate(["vp", "rho", "alpha"]): im = axs[idx].imshow(getattr(scenario.problem.medium, attribute).data) @@ -220,16 +221,16 @@ def calc_simulation_time(scenario: Scenario3): time_mask = (40e-6 < time_arr) & (time_arr < 140e-6) # Plot with some offsets -_ = plt.plot( +plt.plot( time_arr[time_mask] * 1000, rf_signals[time_mask][:, channel_idxs] + np.linspace(-1000, 1000, num=NUM_VISUALIZE, endpoint=True), label=[f"channel-{channel_idx}" for channel_idx in channel_idxs], ) -_ = plt.legend() -_ = plt.title("Example radiofrequency signals (RF)") -_ = plt.xlabel("time [ms]") -_ = plt.ylabel("amplitude and channel offset [a.u]") +plt.legend() +plt.title("Example radiofrequency signals (RF)") +plt.xlabel("time [ms]") +plt.ylabel("amplitude and channel offset [a.u]") # %% [markdown] # The transmitted signals consisted of a high-frequency pulse, so diff --git a/docs/images/web_ui.jpg b/docs/images/web_ui.jpg new file mode 100644 index 00000000..01f26422 Binary files /dev/null and b/docs/images/web_ui.jpg differ diff --git a/docs/images/web_ui_first.png b/docs/images/web_ui_first.png new file mode 100644 index 00000000..8ed77c86 Binary files /dev/null and b/docs/images/web_ui_first.png differ diff --git a/docs/installation.md b/docs/installation.md index 39f7e164..960b88c2 100644 --- a/docs/installation.md +++ b/docs/installation.md @@ -45,11 +45,19 @@ As a last step **before running NDK**, follow the instructions below depending o ??? "Before running on MacOS" +<<<<<<< HEAD + The two main compiler options for MacOS are **clang** and **gcc**. + + ### clang + + If you prefer to use **clang** you will have to install `libomp` and `llvm`, you will also have to export a few environment variables needed by the compiler. +======= The single compiler option for MacOS is **clang**. ### clang To setup your environment you will have to install `libomp` and `llvm`, you will also have to export a few environment variables needed by the compiler. +>>>>>>> main 1. Install libomp @@ -89,6 +97,34 @@ As a last step **before running NDK**, follow the instructions below depending o source ~/.zshrc ``` +<<<<<<< HEAD + ### gcc + + On MacOS the `gcc` executable is a symbolic link to `clang`, so by defining ~~DEVITO_ARCH=gcc~~ devito will try to add `gcc` flags to the `clang` compiler, and the compilation will most probably fail. + + You can tell devito to use the correct `gcc` compiler doing the following: + + 1. Install gcc-11 + + ``` + brew install gcc@11 + ``` + + 1. Run the command that exports the `DEVITO_ARCH` environment variable: + + ``` + echo 'export DEVITO_ARCH="gcc-11"' >> ~/.zshrc + ``` + + 1. Load the modified zsh configuration file: + + ``` + source ~/.zshrc + ``` + + +======= +>>>>>>> main ??? "Before running on Linux" 1. Export the `DEVITO_ARCH` environment variable, or add it to your shell profile: diff --git a/docs/user_interface.md b/docs/user_interface.md new file mode 100644 index 00000000..64bd847d --- /dev/null +++ b/docs/user_interface.md @@ -0,0 +1,61 @@ +!!! note + This functionality is currently under development. + +# User Interface + +Neurotech Development Kit has a built-in web server that allows you to create and run simulations using your web browser. + + +
+ ![Web UI](./images/web_ui.jpg){ width="900" } +
+ + + +## Running + +There are multiple ways of running the web server, you can choose between: + +### Pip + +1. Follow the [installation tutorial](installation.md) + +1. Open a terminal and execute + + ``` + ndk-ui + ``` + +### Virtual environment + +1. Follow the *running locally* section of the [contributing tutorial](contributing.md#running-locally) + +1. Open a terminal in the project location and run the following command + + ``` + make web + ``` + +### Docker + +1. Install [Docker](https://docs.docker.com/engine/install/#desktop). + +1. Open a terminal and run the following command: + + ``` + docker run -p 8080:8080 -e WEB_SERVER_HOST=0.0.0.0 -w "/ndk" -it ghcr.io/agencyenterprise/neurotechdevkit:latest python src/web/app.py + ``` + + +## Using + +After executing the last step of any of the options described above you will be able to open the address `http://127.0.0.1:8080/` in your browser. + +You should be able to select one of the pre-defined scenarios and see its layout: + + +
+ ![Web UI First](./images/web_ui_first.png){ width="900" } +
+ + diff --git a/mkdocs.yml b/mkdocs.yml index c2bfbd61..8a4bb586 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -29,6 +29,7 @@ theme: nav: - Home: index.md - Installation: installation.md + - User Interface: user_interface.md - Usage: - Scenarios: usage/loading_scenarios.md - Sources: usage/defining_sources.md diff --git a/poetry.lock b/poetry.lock index 63804c12..25c92c0c 100644 --- a/poetry.lock +++ b/poetry.lock @@ -13,18 +13,21 @@ files = [ [[package]] name = "aiosqlite" -version = "0.19.0" +version = "0.20.0" description = "asyncio bridge to the standard sqlite3 module" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "aiosqlite-0.19.0-py3-none-any.whl", hash = "sha256:edba222e03453e094a3ce605db1b970c4b3376264e56f32e2a4959f948d66a96"}, - {file = "aiosqlite-0.19.0.tar.gz", hash = "sha256:95ee77b91c8d2808bd08a59fbebf66270e9090c3d92ffbf260dc0db0b979577d"}, + {file = "aiosqlite-0.20.0-py3-none-any.whl", hash = "sha256:36a1deaca0cac40ebe32aac9977a6e2bbc7f5189f23f4a54d5908986729e5bd6"}, + {file = "aiosqlite-0.20.0.tar.gz", hash = "sha256:6d35c8c256637f4672f843c31021464090805bf925385ac39473fb16eaaca3d7"}, ] +[package.dependencies] +typing_extensions = ">=4.0" + [package.extras] -dev = ["aiounittest (==1.4.1)", "attribution (==1.6.2)", "black (==23.3.0)", "coverage[toml] (==7.2.3)", "flake8 (==5.0.4)", "flake8-bugbear (==23.3.12)", "flit (==3.7.1)", "mypy (==1.2.0)", "ufmt (==2.1.0)", "usort (==1.0.6)"] -docs = ["sphinx (==6.1.3)", "sphinx-mdinclude (==0.5.3)"] +dev = ["attribution (==1.7.0)", "black (==24.2.0)", "coverage[toml] (==7.4.1)", "flake8 (==7.0.0)", "flake8-bugbear (==24.2.6)", "flit (==3.9.0)", "mypy (==1.8.0)", "ufmt (==2.3.0)", "usort (==1.0.8.post1)"] +docs = ["sphinx (==7.2.6)", "sphinx-mdinclude (==0.5.3)"] [[package]] name = "anyio" @@ -67,33 +70,34 @@ test = ["coverage"] [[package]] name = "appnope" -version = "0.1.3" +version = "0.1.4" description = "Disable App Nap on macOS >= 10.9" optional = false -python-versions = "*" +python-versions = ">=3.6" files = [ - {file = "appnope-0.1.3-py2.py3-none-any.whl", hash = "sha256:265a455292d0bd8a72453494fa24df5a11eb18373a60c7c0430889f22548605e"}, - {file = "appnope-0.1.3.tar.gz", hash = "sha256:02bd91c4de869fbb1e1c50aafc4098827a7a54ab2f39d9dcba6c9547ed920e24"}, + {file = "appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c"}, + {file = "appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee"}, ] [[package]] name = "argon2-cffi" -version = "21.3.0" -description = "The secure Argon2 password hashing algorithm." +version = "23.1.0" +description = "Argon2 for Python" optional = false -python-versions = ">=3.6" +python-versions = ">=3.7" files = [ - {file = "argon2-cffi-21.3.0.tar.gz", hash = "sha256:d384164d944190a7dd7ef22c6aa3ff197da12962bd04b17f64d4e93d934dba5b"}, - {file = "argon2_cffi-21.3.0-py3-none-any.whl", hash = "sha256:8c976986f2c5c0e5000919e6de187906cfd81fb1c72bf9d88c01177e77da7f80"}, + {file = "argon2_cffi-23.1.0-py3-none-any.whl", hash = "sha256:c670642b78ba29641818ab2e68bd4e6a78ba53b7eff7b4c3815ae16abf91c7ea"}, + {file = "argon2_cffi-23.1.0.tar.gz", hash = "sha256:879c3e79a2729ce768ebb7d36d4609e3a78a4ca2ec3a9f12286ca057e3d0db08"}, ] [package.dependencies] argon2-cffi-bindings = "*" [package.extras] -dev = ["cogapp", "coverage[toml] (>=5.0.2)", "furo", "hypothesis", "pre-commit", "pytest", "sphinx", "sphinx-notfound-page", "tomli"] -docs = ["furo", "sphinx", "sphinx-notfound-page"] -tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pytest"] +dev = ["argon2-cffi[tests,typing]", "tox (>4)"] +docs = ["furo", "myst-parser", "sphinx", "sphinx-copybutton", "sphinx-notfound-page"] +tests = ["hypothesis", "pytest"] +typing = ["mypy"] [[package]] name = "argon2-cffi-bindings" @@ -134,27 +138,49 @@ tests = ["pytest"] [[package]] name = "arrow" -version = "1.2.3" +version = "1.3.0" description = "Better dates & times for Python" optional = false -python-versions = ">=3.6" +python-versions = ">=3.8" files = [ - {file = "arrow-1.2.3-py3-none-any.whl", hash = "sha256:5a49ab92e3b7b71d96cd6bfcc4df14efefc9dfa96ea19045815914a6ab6b1fe2"}, - {file = "arrow-1.2.3.tar.gz", hash = "sha256:3934b30ca1b9f292376d9db15b19446088d12ec58629bc3f0da28fd55fb633a1"}, + {file = "arrow-1.3.0-py3-none-any.whl", hash = "sha256:c728b120ebc00eb84e01882a6f5e7927a53960aa990ce7dd2b10f39005a67f80"}, + {file = "arrow-1.3.0.tar.gz", hash = "sha256:d4540617648cb5f895730f1ad8c82a65f2dad0166f57b75f3ca54759c4d67a85"}, ] [package.dependencies] python-dateutil = ">=2.7.0" +types-python-dateutil = ">=2.8.10" + +[package.extras] +doc = ["doc8", "sphinx (>=7.0.0)", "sphinx-autobuild", "sphinx-autodoc-typehints", "sphinx_rtd_theme (>=1.3.0)"] +test = ["dateparser (==1.*)", "pre-commit", "pytest", "pytest-cov", "pytest-mock", "pytz (==2021.1)", "simplejson (==3.*)"] + +[[package]] +name = "asgiref" +version = "3.8.1" +description = "ASGI specs, helper code, and adapters" +optional = false +python-versions = ">=3.8" +files = [ + {file = "asgiref-3.8.1-py3-none-any.whl", hash = "sha256:3e1e3ecc849832fe52ccf2cb6686b7a55f82bb1d6aee72a58826471390335e47"}, + {file = "asgiref-3.8.1.tar.gz", hash = "sha256:c343bd80a0bec947a9860adb4c432ffa7db769836c64238fc34bdc3fec84d590"}, +] + +[package.dependencies] +typing-extensions = {version = ">=4", markers = "python_version < \"3.11\""} + +[package.extras] +tests = ["mypy (>=0.800)", "pytest", "pytest-asyncio"] [[package]] name = "astroid" -version = "2.15.6" +version = "2.15.8" description = "An abstract syntax tree for Python with inference support." optional = false python-versions = ">=3.7.2" files = [ - {file = "astroid-2.15.6-py3-none-any.whl", hash = "sha256:389656ca57b6108f939cf5d2f9a2a825a3be50ba9d589670f393236e0a03b91c"}, - {file = "astroid-2.15.6.tar.gz", hash = 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from = "src" }, + {include = "web", from = "src" } + ] readme = "README.md" license = "Apache-2.0" @@ -20,6 +23,8 @@ classifiers = [ "Documentation" = "https://agencyenterprise.github.io/neurotechdevkit/" "Bug Tracker" = "https://github.com/agencyenterprise/neurotechdevkit/issues" +[tool.poetry.scripts] +ndk-ui = "web.app:run" [tool.poetry.dependencies] python = ">=3.9,<3.12" @@ -36,12 +41,19 @@ psutil = "^5.9.0" nest-asyncio = "^1.5.6" mkdocs-gallery = "0.7.6" xarray = ">=2022.3.0" +flask = {extras = ["async"], version = "^2.3.3"} +pydantic = "<2" +pyrevolve = ">=2.2.3" +pydicom = "^2.4.3" +nibabel = "^5.1.0" +flask-cors = "^4.0.0" +mypy = "1.11" [tool.poetry.group.dev.dependencies] -black = "^22.8.0" +black = {extras = ["jupyter"], version = "^23.9.1"} flake8 = "^5.0.4" isort = "^5.10.1" -mypy = "^0.990" +mypy = "^1.11" pytest = "^7.2.0" pytest-cov = "^4.0.0" pytest-asyncio = "^0.20.2" @@ -51,9 +63,9 @@ mkdocs-offline-links-plugin = { git = "https://github.com/agencyenterprise/mkdoc mkdocstrings = {extras = ["python"], version = "^0.21.2"} codespell = "^2.2.4" pydocstyle = "^6.3.0" -pyright = "^1.1.306" pooch = "^1.7.0" pylint = {extras = ["spelling"], version = "^2.17.4"} +pyright = "1.1.331" [build-system] requires = ["poetry-core>=1.0.0"] @@ -68,6 +80,9 @@ exclude = [ "tests" ] +[tool.pylint.MASTER] +ignore-paths = ["src/web/app/node_modules"] + [tool.isort] profile = "black" src_paths = "." @@ -90,5 +105,7 @@ markers = [ [tool.pyright] include = ["src"] reportGeneralTypeIssues = "none" +exclude = ["src/web/app"] + # [tool.flake8] # flake8 does not support config in pyproject.toml, see .flake8 diff --git a/src/neurotechdevkit/grid.py b/src/neurotechdevkit/grid.py index 15657c2e..e1f92b38 100644 --- a/src/neurotechdevkit/grid.py +++ b/src/neurotechdevkit/grid.py @@ -34,20 +34,45 @@ class Grid(stride.Grid): @staticmethod def make_shaped_grid( - shape: Tuple[int, int], - spacing: float, + shape: Tuple[int, ...], + spacing: Union[float, Tuple[float, ...]], + extra: Union[int, Iterable[int]] = 50, + absorbing: Union[int, Iterable[int]] = 40, ) -> "Grid": - """Create an NDK Grid with the given shape. + """Create an NDK Grid with a given shape. + + Note that the time component of the grid is not defined here. That is + created at simulation time because it depends on simulation parameters. Args: - shape: a tuple of two integers representing the shape of the grid. + shape: a tuple of integers representing the shape of the grid. spacing: a float representing the axis-wise spacing of the grid, in meters. + extra: an integer or an iterable of integers representing the number + of gridpoints to add as boundary layers on each side of the grid. + Extras are added both before and after the grid on each axis. + Default is 50. + absorbing: an integer or an iterable of integers representing the + number of gridpoints within the boundary layers that are + absorbing. Default is 40. Returns: Grid: the Grid object. """ - space = stride.Space(shape=shape, spacing=spacing) + n_dims = len(shape) + + if isinstance(extra, int): + extra = (extra,) * n_dims + else: + extra = tuple(extra) + if isinstance(absorbing, int): + absorbing = (absorbing,) * n_dims + else: + absorbing = tuple(absorbing) + + space = stride.Space( + shape=shape, extra=extra, absorbing=absorbing, spacing=spacing + ) return Grid(space=space, time=None) @staticmethod @@ -84,18 +109,7 @@ def make_grid( Grid: the Grid object. """ _extent = np.array(extent, dtype=float) - n_dims = len(_extent) dx = speed_water / center_frequency / ppw # m shape = _compute_grid_shape(_extent, dx) - if isinstance(extra, int): - extra = (extra,) * n_dims - else: - extra = tuple(extra) - if isinstance(absorbing, int): - absorbing = (absorbing,) * n_dims - else: - absorbing = tuple(absorbing) - - space = stride.Space(shape=shape, extra=extra, absorbing=absorbing, spacing=dx) - return Grid(space=space, time=None) + return Grid.make_shaped_grid(shape, dx, extra, absorbing) diff --git a/src/neurotechdevkit/materials.py b/src/neurotechdevkit/materials.py index 5eebc7a8..5faba3b1 100644 --- a/src/neurotechdevkit/materials.py +++ b/src/neurotechdevkit/materials.py @@ -43,6 +43,7 @@ def to_struct(self) -> Struct: "cortical_bone": _BaseMaterial(vp=2800.0, rho=1850.0, render_color="#FAF0CA"), "trabecular_bone": _BaseMaterial(vp=2300.0, rho=1700.0, render_color="#EBD378"), "brain": _BaseMaterial(vp=1560.0, rho=1040.0, render_color="#DB504A"), + "agar_hydrogel": _BaseMaterial(vp=1485.0, rho=1050.0, render_color="#E9E6C9"), # these numbers for tumor material are made up # TODO: research reasonable values "tumor": _BaseMaterial(vp=1650.0, rho=1150.0, render_color="#94332F"), @@ -83,6 +84,7 @@ def calculate_absorption(self, frequency: float) -> float: "skin": AttenuationConstant(a0=21.158, b=1), "water": AttenuationConstant(a0=0.025328436, b=1), "brain": AttenuationConstant(a0=6.8032, b=1.3), + "agar_hydrogel": AttenuationConstant(a0=6.8032, b=1.3), # these numbers are completely made up # TODO: research reasonable values "tumor": AttenuationConstant(a0=8, b=1), diff --git a/src/neurotechdevkit/rendering/_formatting.py b/src/neurotechdevkit/rendering/_formatting.py index 21ce0069..39d6ee51 100644 --- a/src/neurotechdevkit/rendering/_formatting.py +++ b/src/neurotechdevkit/rendering/_formatting.py @@ -60,7 +60,7 @@ def configure_axis_ticks(ax: matplotlib.axes.Axes) -> None: """ ax.tick_params(axis="x", rotation=45) for label in chain(ax.get_xticklabels(), ax.get_yticklabels()): - label.set_font_properties(AXIS_TICK_FONT_PROPS) + label.set_fontproperties(AXIS_TICK_FONT_PROPS) def configure_grid(ax: matplotlib.axes.Axes) -> None: diff --git a/src/neurotechdevkit/rendering/_source.py b/src/neurotechdevkit/rendering/_source.py index 66416b1c..b4b17601 100644 --- a/src/neurotechdevkit/rendering/_source.py +++ b/src/neurotechdevkit/rendering/_source.py @@ -134,10 +134,13 @@ def create_source_drawing_artist( lower_right = position + hw bbox = Bbox([upper_left, lower_right]) - bbox = TransformedBbox(bbox, transform) + transformed_bbox = TransformedBbox(bbox, transform) img_box = BboxImage( - bbox, resample=True, interpolation="antialiased", interpolation_stage="rgba" + transformed_bbox, + resample=True, + interpolation="antialiased", + interpolation_stage="rgba", ) img_box.set_data(transformed_img) return img_box @@ -203,10 +206,13 @@ def create_source_legend_artist( lower_right = loc + delta bbox = Bbox([upper_left, lower_right]) - bbox = TransformedBbox(bbox, transform) + transformed_bbox = TransformedBbox(bbox, transform) img_box = BboxImage( - bbox, resample=True, interpolation="antialiased", interpolation_stage="rgba" + transformed_bbox, + resample=True, + interpolation="antialiased", + interpolation_stage="rgba", ) img_box.set_data(cropped_img) return img_box diff --git a/src/neurotechdevkit/rendering/_target.py b/src/neurotechdevkit/rendering/_target.py index 86c4cea3..13769163 100644 --- a/src/neurotechdevkit/rendering/_target.py +++ b/src/neurotechdevkit/rendering/_target.py @@ -37,10 +37,13 @@ def create_target_drawing_artist( upper_left = data_location - target_radius lower_right = data_location + target_radius bbox = Bbox([upper_left, lower_right]) - bbox = TransformedBbox(bbox, transform) + transformed_bbox = TransformedBbox(bbox, transform) img_box = BboxImage( - bbox, resample=True, interpolation="antialiased", interpolation_stage="rgba" + transformed_bbox, + resample=True, + interpolation="antialiased", + interpolation_stage="rgba", ) img_box.set_data(target_data) return img_box @@ -72,10 +75,13 @@ def create_target_legend_artist( upper_left = center_loc - target_radius lower_right = center_loc + target_radius bbox = Bbox([upper_left, lower_right]) - bbox = TransformedBbox(bbox, transform) + transformed_bbox = TransformedBbox(bbox, transform) img_box = BboxImage( - bbox, resample=True, interpolation="antialiased", interpolation_stage="rgba" + transformed_bbox, + resample=True, + interpolation="antialiased", + interpolation_stage="rgba", ) img_box.set_data(target_data) return img_box diff --git a/src/neurotechdevkit/rendering/layout.py b/src/neurotechdevkit/rendering/layout.py index 7479df84..414076ce 100644 --- a/src/neurotechdevkit/rendering/layout.py +++ b/src/neurotechdevkit/rendering/layout.py @@ -56,9 +56,7 @@ def create_layout_fig( fig = plt.figure() ax = fig.gca() # the extent for imshow is "(left, right, bottom, top)" - imshow_extent = np.array( - [origin[1], origin[1] + extent[1], origin[0] + extent[0], origin[0]] - ) + imshow_extent = (origin[1], origin[1] + extent[1], origin[0] + extent[0], origin[0]) cmap = matplotlib.colors.ListedColormap(color_sequence) clim = (-0.5, len(color_sequence) - 0.5) diff --git a/src/neurotechdevkit/rendering/legends.py b/src/neurotechdevkit/rendering/legends.py index 5cbd8c60..20fec66a 100644 --- a/src/neurotechdevkit/rendering/legends.py +++ b/src/neurotechdevkit/rendering/legends.py @@ -71,7 +71,7 @@ def get_custom_handlers(self) -> dict[type, matplotlib.legend_handler.HandlerBas return self._custom_handlers.copy() -class TargetHandle: +class TargetHandle(matplotlib.artist.Artist): """A handle for the target symbol. This class is used to trigger the TargetHandler in order to draw the correct icon @@ -92,9 +92,9 @@ class TargetHandler(matplotlib.legend_handler.HandlerBase): def legend_artist( self, legend: matplotlib.legend.Legend, - orig_handle: TargetHandle, + orig_handle: matplotlib.artist.Artist, fontsize: float, - handlebox: matplotlib.offsetbox.DrawingArea, + handlebox: matplotlib.offsetbox.OffsetBox, ) -> matplotlib.artist.Artist: """Return the artist that draws the target in the legend. @@ -111,6 +111,7 @@ def legend_artist( An artist that draws the target in the legend. """ TARGET_LEGEND_SCALE_FACTOR = 1.5 + assert isinstance(handlebox, matplotlib.offsetbox.DrawingArea) center = np.array( # in scenario coordinates [ handlebox.xdescent + handlebox.width / 2, @@ -149,9 +150,9 @@ class SourceHandler(matplotlib.legend_handler.HandlerBase): def legend_artist( self, legend: matplotlib.legend.Legend, - orig_handle: TargetHandle, + orig_handle: matplotlib.artist.Artist, fontsize: float, - handlebox: matplotlib.offsetbox.DrawingArea, + handlebox: matplotlib.offsetbox.OffsetBox, ) -> matplotlib.artist.Artist: """Return the artist that draws the source in the legend. @@ -168,7 +169,7 @@ def legend_artist( An artist that draws the source in the legend. """ SOURCE_LEGEND_SCALE_FACTOR = 1.0 - + assert isinstance(handlebox, matplotlib.offsetbox.DrawingArea) center = np.array( # in display coordinates (I think) [ handlebox.xdescent + handlebox.width / 2, diff --git a/src/neurotechdevkit/rendering/simulations.py b/src/neurotechdevkit/rendering/simulations.py index d4790cc1..4531a2c0 100644 --- a/src/neurotechdevkit/rendering/simulations.py +++ b/src/neurotechdevkit/rendering/simulations.py @@ -54,9 +54,7 @@ def create_steady_state_figure( fig = plt.figure() ax = fig.gca() # the extent for imshow is "(left, right, bottom, top)" - imshow_extent = np.array( - [origin[1], origin[1] + extent[1], origin[0] + extent[0], origin[0]] - ) + imshow_extent = (origin[1], origin[1] + extent[1], origin[0] + extent[0], origin[0]) ax.imshow(amplitudes, cmap="viridis", extent=imshow_extent) return fig, ax @@ -101,9 +99,7 @@ def create_pulsed_figure( max_pressure = wavefield.max() cmap = _create_centered_bidirectional_cmap(vmin=min_pressure, vmax=max_pressure) - imshow_extent = np.array( - [origin[1], origin[1] + extent[1], origin[0] + extent[0], origin[0]] - ) + imshow_extent = (origin[1], origin[1] + extent[1], origin[0] + extent[0], origin[0]) # reference image, it would be replaced when creating the animation. mid_point = wavefield.shape[-1] // 2 ax.imshow(wavefield[:, :, mid_point], cmap=cmap, norm=norm, extent=imshow_extent) @@ -177,7 +173,7 @@ def _configure_colorbar( cb.set_label("Pressure (Pa)", fontproperties=AXIS_LABEL_FONT_PROPS, color="#4F4F4F") for label in cb.ax.get_yticklabels(): - label.set_font_properties(AXIS_TICK_FONT_PROPS) + label.set_fontproperties(AXIS_TICK_FONT_PROPS) def _configure_legend( diff --git a/src/neurotechdevkit/results/_results.py b/src/neurotechdevkit/results/_results.py index dd36f6c0..0e4726ce 100644 --- a/src/neurotechdevkit/results/_results.py +++ b/src/neurotechdevkit/results/_results.py @@ -16,6 +16,7 @@ import numpy.typing as npt import stride from matplotlib.animation import FuncAnimation +from matplotlib.figure import Figure import neurotechdevkit @@ -255,7 +256,7 @@ def render_steady_state_amplitudes( show_sources: bool = True, show_target: bool = True, show_material_outlines: bool = True, - ) -> None: + ) -> Figure: """Create a matplotlib figure with the steady-state pressure wave amplitude. The grid can be turned on via: `plt.grid(True)` @@ -304,6 +305,7 @@ def render_steady_state_amplitudes( horizontal_label="Y", title="Steady-State Wave Amplitude", ) + return fig class SteadyStateResult3D(SteadyStateResult): @@ -332,7 +334,7 @@ def render_steady_state_amplitudes( show_sources: bool = True, show_target: bool = True, show_material_outlines: bool = True, - ) -> None: + ) -> Figure: """Create a matplotlib figure with the steady-state pressure wave amplitude. In order to visualize the 3D scenario in a 2D plot, a slice through the scenario @@ -401,6 +403,7 @@ def render_steady_state_amplitudes( f"\nSlice: {slice_name} = {slice_position} m" ), ) + return fig def render_steady_state_amplitudes_3d( self, diff --git a/src/neurotechdevkit/scenarios/__init__.py b/src/neurotechdevkit/scenarios/__init__.py index 7a11561c..d282b14f 100644 --- a/src/neurotechdevkit/scenarios/__init__.py +++ b/src/neurotechdevkit/scenarios/__init__.py @@ -1,8 +1,7 @@ """Scenarios module.""" from .. import materials from . import built_in -from ._base import Scenario, Scenario2D, Scenario3D -from ._utils import Target +from ._base import Scenario, Scenario2D, Scenario3D, SliceAxis, Target __all__ = [ "materials", @@ -10,5 +9,6 @@ "Scenario", "Scenario2D", "Scenario3D", + "SliceAxis", "Target", ] diff --git a/src/neurotechdevkit/scenarios/_base.py b/src/neurotechdevkit/scenarios/_base.py index 0d837f25..ed30070f 100644 --- a/src/neurotechdevkit/scenarios/_base.py +++ b/src/neurotechdevkit/scenarios/_base.py @@ -10,6 +10,7 @@ import numpy as np import numpy.typing as npt import stride +from matplotlib.figure import Figure from mosaic.types import Struct from stride.problem import StructuredData @@ -55,7 +56,7 @@ class Scenario(abc.ABC): # Coordinates of point receivers in the scenario receiver_coords: npt.NDArray[np.float_] | list[npt.NDArray[np.float_]] = [] - material_outline_upsample_factor: int = 16 + material_outline_upsample_factor: int _center_frequency: float _problem: Problem @@ -69,7 +70,7 @@ def __init__( material_masks: Optional[Mapping[str, npt.NDArray[np.bool_]]] = None, origin: Optional[list[float]] = None, sources: Optional[list[Source]] = None, - material_outline_upsample_factor: Optional[int] = None, + material_outline_upsample_factor: Optional[int] = 16, target: Optional[Target] = None, problem: Optional[Problem] = None, grid: Optional[Grid] = None, @@ -93,7 +94,7 @@ def __init__( scenario. Defaults to None. material_outline_upsample_factor (Optional[int], optional): The factor by which to upsample the material outline when rendering the scenario. - Defaults to None. + Defaults to 16. target (Optional[Target], optional): The target in the scenario. Defaults to None. problem (Optional[Problem], optional): The problem definition for the @@ -860,7 +861,7 @@ def render_layout( show_sources: bool = True, show_target: bool = True, show_material_outlines: bool = False, - ) -> None: + ) -> Figure: """Create a matplotlib figure showing the 2D scenario layout. The grid can be turned on via: `plt.grid(True)` @@ -906,6 +907,7 @@ def render_layout( extent=self.extent, origin=np.array(self.origin, dtype=float), ) + return fig class Scenario3D(Scenario): @@ -1050,7 +1052,7 @@ def render_layout( show_sources: bool = True, show_target: bool = True, show_material_outlines: bool = False, - ) -> None: + ) -> Figure: """Create a matplotlib figure showing a 2D slice of the scenario layout. In order to visualize the 3D scenario in a 2D plot, a slice through the scenario @@ -1113,6 +1115,7 @@ def render_layout( horizontal_label=horz_name, title=f"Scenario Layout\nSlice: {slice_name} = {slice_position} m", ) + return fig def render_layout_3d( self, diff --git a/src/neurotechdevkit/scenarios/built_in/_scenario_2.py b/src/neurotechdevkit/scenarios/built_in/_scenario_2.py index e880fa56..8f989d2a 100644 --- a/src/neurotechdevkit/scenarios/built_in/_scenario_2.py +++ b/src/neurotechdevkit/scenarios/built_in/_scenario_2.py @@ -365,7 +365,7 @@ def _create_scenario_2_mask( brain_mask = brain_mask[:, :, z_center_idx] if skull_mask.shape != output_shape: - # resample the mask to match the grid + # re-sample the mask to match the grid scale_factor = np.array(output_shape) / np.array(skull_mask.shape) skull_mask = scipy.ndimage.zoom(skull_mask, scale_factor, order=0) brain_mask = scipy.ndimage.zoom(brain_mask, scale_factor, order=0) diff --git a/src/neurotechdevkit/sources.py b/src/neurotechdevkit/sources.py index 89bc4b2d..f7892306 100644 --- a/src/neurotechdevkit/sources.py +++ b/src/neurotechdevkit/sources.py @@ -36,7 +36,7 @@ class Source(abc.ABC): def __init__( self, *, - position: npt.ArrayLike, + position: list[float], direction: list[float], aperture: float, focal_length: float, @@ -47,6 +47,7 @@ def __init__( self._validate_delay(delay) self._position = position + self._direction = direction self._unit_direction = np.array(direction) / np.linalg.norm(direction) self._aperture = aperture self._focal_length = focal_length @@ -228,7 +229,7 @@ def __init__( position: list[float], delay: float = 0.0, ) -> None: - """Initialize a new 2-D point source.""" + """Initialize a new 3-D point source.""" super().__init__( position=position, num_dim=3, @@ -632,7 +633,7 @@ def __init__( tilt_angle: float = 0.0, focal_length: float = np.inf, delay: float = 0.0, - element_delays: npt.NDArray[np.float_] | None = None, + element_delays: npt.ArrayLike | None = None, ) -> None: """Initialize a new phased array source.""" self._validate_input_configuration( @@ -661,7 +662,7 @@ def __init__( num_points=num_points, delay=delay, ) - + self._configured_element_delays = element_delays self._element_delays = self._set_element_delays(element_delays) @abc.abstractproperty @@ -735,7 +736,7 @@ def _validate_input_configuration( tilt_angle: float, focal_length: float, delay: float, - element_delays: npt.NDArray[np.float_] | None, + element_delays: npt.ArrayLike | None, ) -> None: """Check that the input arguments for delays yield a valid configuration. @@ -980,7 +981,7 @@ def _calculate_focus_tilt_element_delays( def _set_element_delays( self, - element_delays: npt.NDArray[np.float_] | None, + element_delays: npt.ArrayLike | None, ) -> npt.NDArray[np.float_]: """ Calculate delays (in seconds) per element of the phased array. @@ -1002,8 +1003,7 @@ def _set_element_delays( """ if element_delays is not None: - element_delays = np.array(element_delays) - return element_delays + return np.array(element_delays, dtype=float) if np.isfinite(self.focal_length): delays = self._calculate_focus_tilt_element_delays() @@ -1175,7 +1175,7 @@ def __init__( *, position: list[float], direction: list[float], - center_line: npt.NDArray[np.float_], + center_line: list[float], num_points: int, num_elements: int, pitch: float, @@ -1184,10 +1184,11 @@ def __init__( tilt_angle: float = 0.0, focal_length: float = np.inf, delay: float = 0.0, - element_delays: npt.NDArray[np.float_] | None = None, + element_delays: npt.ArrayLike | None = None, ) -> None: """Initialize a new phased array source.""" self._height = height + self._center_line = center_line self._unit_center_line = self._validate_center_line( center_line, np.array(direction, dtype=float) ) @@ -1234,7 +1235,7 @@ def focal_point(self) -> npt.NDArray[np.float_]: @staticmethod def _validate_center_line( - center_line: npt.NDArray[np.float_], direction: npt.NDArray[np.float_] + center_line: npt.ArrayLike, direction: npt.NDArray[np.float_] ) -> npt.NDArray[np.float_]: """Ensure that the center line input parameter is a valid one. @@ -1260,10 +1261,11 @@ def _validate_center_line( When the input center line needs to be transformed to an orthogonal unit center line. """ - center_line = _unit_vector(center_line) + _center_line = np.array(center_line, dtype=float) + _center_line = _unit_vector(_center_line) direction = _unit_vector(direction) - dot_prod = np.dot(center_line, direction) + dot_prod = np.dot(_center_line, direction) # Raise error if parallel if np.isclose(np.abs(dot_prod), 1): @@ -1273,11 +1275,11 @@ def _validate_center_line( ) if dot_prod == 0: - return center_line + return _center_line else: # remove orthogonal component parallel_to_normal_component = dot_prod * direction - orth_center_line = center_line - parallel_to_normal_component + orth_center_line = _center_line - parallel_to_normal_component warnings.warn( "The received value for `center_line` is not perpendicular" " to `direction`. Only the perpendicular component will be" diff --git a/src/web/__init__.py b/src/web/__init__.py new file mode 100644 index 00000000..3e91d92c --- /dev/null +++ b/src/web/__init__.py @@ -0,0 +1 @@ +"""The web package contains the web application.""" diff --git a/src/web/app.py b/src/web/app.py new file mode 100644 index 00000000..d06f90de --- /dev/null +++ b/src/web/app.py @@ -0,0 +1,71 @@ +"""Flask app factory.""" + +import os +import pathlib +import shutil +import webbrowser +import zipfile + +import matplotlib +from flask import Flask +from flask_cors import CORS +from matplotlib import rc +from web.simulation_runner import SimulationRunner + +CT_FOLDER = pathlib.Path("./ct-scans/") +WEB_SERVER_HOST = os.getenv("WEB_SERVER_HOST", "localhost") +WEB_SERVER_PORT = os.getenv("WEB_SERVER_PORT", 8080) +CURRENT_DIR = pathlib.Path(__file__).parent +APP_DIR = CURRENT_DIR / "app" + + +def create_app(): + """Create the Flask app.""" + matplotlib.use("Agg") + + rc("animation", html="html5") + + app = Flask(__name__, static_folder="app/dist") + CORS(app) + + # Register blueprints here + from web.views import bp + + app.register_blueprint(bp) + + SimulationRunner().initialize() + + return app + + +def assign_CT_FOLDER(app): + """Assign the CT_FOLDER to the app.""" + if not os.path.exists(CT_FOLDER): + os.makedirs(CT_FOLDER) + app.config["CT_FOLDER"] = CT_FOLDER + + +def extract_static_files(): + """ + Extract web app build from dist.zip to app folder, so that it can be served. + """ + dist_dir = APP_DIR / "dist" + if os.path.exists(dist_dir) and os.path.isdir(dist_dir): + shutil.rmtree(dist_dir) + with zipfile.ZipFile(APP_DIR / "dist.zip", "r") as zip_ref: + zip_ref.extractall(APP_DIR / "dist") + + +app = create_app() +extract_static_files() + + +def run(): + """Run the web app.""" + assign_CT_FOLDER(app) + webbrowser.open(f"http://{WEB_SERVER_HOST}:{WEB_SERVER_PORT}") + app.run(host=WEB_SERVER_HOST, port=WEB_SERVER_PORT) + + +if __name__ == "__main__": + run() diff --git a/src/web/app/.gitignore b/src/web/app/.gitignore new file mode 100644 index 00000000..403adbc1 --- /dev/null +++ b/src/web/app/.gitignore @@ -0,0 +1,23 @@ +.DS_Store +node_modules +/dist + + +# local env files +.env.local +.env.*.local + +# Log files +npm-debug.log* +yarn-debug.log* +yarn-error.log* +pnpm-debug.log* + +# Editor directories and files +.idea +.vscode +*.suo +*.ntvs* +*.njsproj +*.sln +*.sw? diff --git a/src/web/app/README.md b/src/web/app/README.md new file mode 100644 index 00000000..e0d1daf1 --- /dev/null +++ b/src/web/app/README.md @@ -0,0 +1,24 @@ +# app + +## Project setup +``` +npm install +``` + +### Compiles and hot-reloads for development +``` +npm run serve +``` + +### Compiles and minifies for production +``` +npm run build +``` + +### Lints and fixes files +``` +npm run lint +``` + +### Customize configuration +See [Configuration Reference](https://cli.vuejs.org/config/). diff --git a/src/web/app/babel.config.js b/src/web/app/babel.config.js new file mode 100644 index 00000000..e5ac36aa --- /dev/null +++ b/src/web/app/babel.config.js @@ -0,0 +1,5 @@ +module.exports = { + "presets": [ + "@vue/cli-plugin-babel/preset" + ] +} \ No newline at end of file diff --git a/src/web/app/dist.zip b/src/web/app/dist.zip new file mode 100644 index 00000000..08f0252f Binary files /dev/null and b/src/web/app/dist.zip differ diff --git a/src/web/app/jsconfig.json b/src/web/app/jsconfig.json new file mode 100644 index 00000000..4aafc5f6 --- /dev/null +++ b/src/web/app/jsconfig.json @@ -0,0 +1,19 @@ +{ + "compilerOptions": { + "target": "es5", + "module": "esnext", + "baseUrl": "./", + "moduleResolution": "node", + "paths": { + "@/*": [ + "src/*" + ] + }, + "lib": [ + "esnext", + "dom", + "dom.iterable", + "scripthost" + ] + } +} diff --git a/src/web/app/package-lock.json b/src/web/app/package-lock.json new file mode 100644 index 00000000..dcfd0284 --- /dev/null +++ b/src/web/app/package-lock.json @@ -0,0 +1,11942 @@ +{ + "name": "ndk", + "version": 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a/src/web/app/src/components/MaterialsSettings.vue b/src/web/app/src/components/MaterialsSettings.vue new file mode 100644 index 00000000..ebe6dfa4 --- /dev/null +++ b/src/web/app/src/components/MaterialsSettings.vue @@ -0,0 +1,101 @@ + + + + + \ No newline at end of file diff --git a/src/web/app/src/components/ParametersPanel.vue b/src/web/app/src/components/ParametersPanel.vue new file mode 100644 index 00000000..2208b32b --- /dev/null +++ b/src/web/app/src/components/ParametersPanel.vue @@ -0,0 +1,176 @@ + + + + + \ No newline at end of file diff --git a/src/web/app/src/components/ScenarioSettings.vue b/src/web/app/src/components/ScenarioSettings.vue new file mode 100644 index 00000000..c523be7a --- /dev/null +++ b/src/web/app/src/components/ScenarioSettings.vue @@ -0,0 +1,198 @@ + + + \ No newline at end of file diff --git a/src/web/app/src/components/SimulationSettings.vue b/src/web/app/src/components/SimulationSettings.vue new file mode 100644 index 00000000..195c9e5f --- /dev/null +++ b/src/web/app/src/components/SimulationSettings.vue @@ -0,0 +1,100 @@ + + + + + \ No newline at end of file diff --git a/src/web/app/src/components/TargetSettings.vue b/src/web/app/src/components/TargetSettings.vue new file mode 100644 index 00000000..bf26dea8 --- /dev/null +++ b/src/web/app/src/components/TargetSettings.vue @@ -0,0 +1,90 @@ + + + + + \ No newline at end of file diff --git a/src/web/app/src/components/TransducersSettings.vue b/src/web/app/src/components/TransducersSettings.vue new file mode 100644 index 00000000..66a76352 --- /dev/null +++ b/src/web/app/src/components/TransducersSettings.vue @@ -0,0 +1,286 @@ + + + + + + \ No newline at end of file diff --git a/src/web/app/src/components/transducers/FocusedTransducer.vue b/src/web/app/src/components/transducers/FocusedTransducer.vue new file mode 100644 index 00000000..85e34ed5 --- /dev/null +++ b/src/web/app/src/components/transducers/FocusedTransducer.vue @@ -0,0 +1,157 @@ + + + + diff --git a/src/web/app/src/components/transducers/PhasedArrayTransducer.vue b/src/web/app/src/components/transducers/PhasedArrayTransducer.vue new file mode 100644 index 00000000..1933ab2a --- /dev/null +++ b/src/web/app/src/components/transducers/PhasedArrayTransducer.vue @@ -0,0 +1,238 @@ + + + + + diff --git a/src/web/app/src/components/transducers/PlanarTransducer.vue b/src/web/app/src/components/transducers/PlanarTransducer.vue new file mode 100644 index 00000000..ebc1f1d7 --- /dev/null +++ b/src/web/app/src/components/transducers/PlanarTransducer.vue @@ -0,0 +1,149 @@ + + + + + diff --git a/src/web/app/src/components/transducers/PointTransducer.vue b/src/web/app/src/components/transducers/PointTransducer.vue new file mode 100644 index 00000000..4cc43dc2 --- /dev/null +++ b/src/web/app/src/components/transducers/PointTransducer.vue @@ -0,0 +1,103 @@ + + + + + \ No newline at end of file diff --git a/src/web/app/src/event-bus.js b/src/web/app/src/event-bus.js new file mode 100644 index 00000000..bf484970 --- /dev/null +++ b/src/web/app/src/event-bus.js @@ -0,0 +1,2 @@ +import mitt from 'mitt'; +export const EventBus = mitt(); diff --git a/src/web/app/src/main.js b/src/web/app/src/main.js new file mode 100644 index 00000000..17719613 --- /dev/null +++ b/src/web/app/src/main.js @@ -0,0 +1,51 @@ +import { createApp } from "vue"; +import App from "./App.vue"; +import { library } from "@fortawesome/fontawesome-svg-core"; +import { faChevronUp, faChevronDown } from "@fortawesome/free-solid-svg-icons"; +import { FontAwesomeIcon } from "@fortawesome/vue-fontawesome"; +import "bootstrap/dist/css/bootstrap.css"; +import "bootstrap/dist/js/bootstrap.js"; +import { Tooltip } from "bootstrap"; +import store from "./store/index"; + +library.add(faChevronDown, faChevronUp); + +const app = createApp(App); + +// Define a global custom directive called 'tooltip' +app.directive("tooltip", { + // When the bound element is mounted, and whenever it updates, initialize/update the tooltip + mounted(el, binding) { + // Create a new Tooltip instance for the element + const tooltipTrigger = new Tooltip(el, { + title: binding.value || el.getAttribute("title"), + placement: binding.arg || "top", + trigger: "hover focus", + container: "body", // Append the tooltip to the body to prevent layout issues + }); + // Store the tooltip instance on the element for future updates + el._tooltip = tooltipTrigger; + }, + updated(el, binding) { + if (el._tooltip) { + // Update the tooltip content and options + el._tooltip.setContent({ + ".tooltip-inner": binding.value || el.getAttribute("title"), + }); + if (binding.arg) { + el._tooltip.updateAttachment(binding.arg); + } + } + }, + beforeUnmount(el) { + if (el._tooltip) { + // Destroy the tooltip instance when the directive is unbound + el._tooltip.dispose(); + delete el._tooltip; + } + }, +}); + +app.use(store); +app.component("font-awesome-icon", FontAwesomeIcon); +app.mount("#app"); diff --git a/src/web/app/src/store/index.js b/src/web/app/src/store/index.js new file mode 100644 index 00000000..cb08bec8 --- /dev/null +++ b/src/web/app/src/store/index.js @@ -0,0 +1,373 @@ +import { createStore } from "vuex"; + +import { EventBus } from "../event-bus"; +import scenarioSettings from "./modules/scenarioSettings"; +import simulationSettings from "./modules/simulationSettings"; +import displaySettings from "./modules/displaySettings"; +import targetSettings from "./modules/targetSettings"; +import transducersSettings from "./modules/transducersSettings"; +import debounce from "lodash/debounce"; + +const initialState = () => ({ + hasSimulation: false, + isRunningSimulation: false, + isProcessing: false, + processingMessage: "", + + materials: [], + materialProperties: [], + transducerTypes: [], +}); + +const store = createStore({ + modules: { + scenarioSettings, + simulationSettings, + displaySettings, + targetSettings, + transducersSettings, + }, + state() { + return { + is2d: true, + validity: { + scenario: false, + display: false, + target: false, + simulation: false, + }, + ...initialState(), + }; + }, + mutations: { + setComponentValidity(state, { component, isValid }) { + state.validity = { + ...state.validity, + [component]: isValid, + }; + }, + reset(state) { + Object.assign(state, initialState()); + }, + set2d(state, payload) { + state.is2d = payload; + }, + setInitialValues(state, payload) { + state.hasSimulation = payload.has_simulation; + state.isRunningSimulation = payload.is_running_simulation; + state.materials = payload.materials; + state.materialProperties = payload.material_properties; + state.transducerTypes = payload.transducer_types; + + this.dispatch("scenarioSettings/setAvailableCTs", payload.available_cts, { + root: true, + }); + this.dispatch( + "scenarioSettings/setBuiltInScenarios", + payload.built_in_scenarios, + { root: true } + ); + if (payload.configuration !== null) { + state.is2d = payload.configuration.is2d; + this.dispatch( + "scenarioSettings/setScenario", + payload.configuration.scenarioSettings, + { root: true } + ); + this.dispatch( + "displaySettings/setDisplaySettings", + payload.configuration.displaySettings, + { + root: true, + } + ); + this.dispatch( + "transducersSettings/setTransducers", + payload.configuration.transducers, + { + root: true, + } + ); + this.dispatch( + "simulationSettings/setSimulationSettings", + payload.configuration.simulationSettings, + { + root: true, + } + ); + this.dispatch( + "targetSettings/setTarget", + payload.configuration.target, + { + root: true, + } + ); + } + if (state.hasSimulation || state.isRunningSimulation) { + this.dispatch("getSimulation"); + } + }, + setHasSimulation(state, payload) { + state.hasSimulation = payload; + }, + setRenderedOutput(state, payload) { + state.renderedOutput = payload; + }, + setIsRunningSimulation(state, payload) { + state.isRunningSimulation = payload; + }, + setProcessingMessage(state, payload) { + state.processingMessage = payload; + }, + setIsProcessing(state, payload) { + state.isProcessing = payload; + }, + }, + actions: { + updateValidityState({ commit }, { component, isValid }) { + commit("setComponentValidity", { component, isValid }); + }, + setIsProcessing({ commit }, payload) { + commit("setIsProcessing", payload); + }, + setProcessingMessage({ commit }, payload) { + commit("setProcessingMessage", payload); + }, + reset({ commit }) { + // Reset root state + commit("setRenderedOutput", null); + + commit("reset"); + + // Reset each submodule + commit("displaySettings/reset", null, { root: true }); + commit("scenarioSettings/reset", null, { root: true }); + commit("simulationSettings/reset", null, { root: true }); + commit("targetSettings/reset", null, { root: true }); + commit("transducersSettings/reset", null, { root: true }); + }, + set2d({ commit, dispatch }, payload) { + commit("set2d", payload); + dispatch("reset"); + }, + async getInitialData({ commit }) { + await fetch(`http://${process.env.VUE_APP_BACKEND_URL}/info`) + .then((response) => { + if (response.ok) { + return response.json(); + } + throw new Error("Network response was not ok."); + }) + .then((data) => { + commit("setInitialValues", data); + }) + .catch((error) => { + console.error("Error:", error); + }); + }, + async runSimulation({ commit, dispatch }) { + commit("setRenderedOutput", null); + commit("setIsRunningSimulation", true); + commit("setIsProcessing", true); + commit("setProcessingMessage", "Running simulation..."); + const payload = await dispatch("getPayload"); + + await fetch(`http://${process.env.VUE_APP_BACKEND_URL}/simulation`, { + method: "POST", + headers: new Headers({ + "Content-Type": "application/json", + }), + body: JSON.stringify(payload), + }) + .then((response) => { + if (!response.ok) { + return Promise.reject(response); + } + return response.json(); + }) + .then((data) => { + if (data) { + commit("setHasSimulation", true); + commit("setRenderedOutput", data.data); + commit("setIsRunningSimulation", false); + commit("setIsProcessing", false); + } + }) + .catch((response) => { + commit("setIsProcessing", false); + response.json().then((error) => { + console.error( + "There was a problem with the fetch operation:", + error + ); + }); + }); + }, + async cleanSimulation({ commit }) { + // call the backend to cancel the simulation + try { + const response = await fetch( + `http://${process.env.VUE_APP_BACKEND_URL}/simulation`, + { + method: "DELETE", + } + ); + + if (!response.ok) { + throw new Error(`HTTP error! status: ${response.status}`); + } + } catch (error) { + console.error("There was a problem with the fetch operation:", error); + } + commit("setRenderedOutput", null); + commit("setHasSimulation", false); + commit("setIsRunningSimulation", false); + EventBus.emit("reset-parameters-panel"); + }, + getPayload({ state, rootGetters }) { + const body = { + is2d: state.is2d, + scenarioSettings: + rootGetters["scenarioSettings/scenarioSettingsPayload"], + transducers: rootGetters["transducersSettings/transducers"], + target: rootGetters["targetSettings/targetPayload"], + simulationSettings: + rootGetters["simulationSettings/simulationSettings"], + displaySettings: rootGetters["displaySettings/displaySettings"], + }; + return body; + }, + async renderLayout({ commit, dispatch, getters }) { + // Check if we have enough data to render the layout + if ( + !getters.canRenderLayout || + getters.hasSimulation || + getters.isRunningSimulation + ) + return; + EventBus.emit("validate"); + if (!getters.areAllComponentsValid) { + return; + } + commit("setIsProcessing", true); + commit("setRenderedOutput", null); + commit("setProcessingMessage", "Rendering layout..."); + const payload = await dispatch("getPayload"); + try { + const response = await fetch( + `http://${process.env.VUE_APP_BACKEND_URL}/render_layout`, + { + method: "POST", + headers: new Headers({ + "Content-Type": "application/json", + }), + body: JSON.stringify(payload), + } + ); + + if (!response.ok) { + throw new Error(`HTTP error! status: ${response.status}`); + } + + const data = await response.json(); + commit("setRenderedOutput", data.data); + commit("setIsProcessing", false); + } catch (error) { + commit("setIsProcessing", false); + console.error("There was a problem with the fetch operation:", error); + } + }, + async getSimulation({ commit }) { + commit("setRenderedOutput", null); + commit("setIsRunningSimulation", true); + commit("setIsProcessing", true); + commit("setProcessingMessage", "Running simulation..."); + try { + const response = await fetch( + `http://${process.env.VUE_APP_BACKEND_URL}/simulation`, + { + method: "GET", + } + ); + + if (!response.ok) { + throw new Error(`HTTP error! status: ${response.status}`); + } + + const data = await response.json(); + commit("setRenderedOutput", data.data); + commit("setHasSimulation", true); + commit("setIsRunningSimulation", false); + commit("setIsProcessing", false); + } catch (error) { + console.error("There was a problem with the fetch operation:", error); + commit("setIsProcessing", false); + } + }, + }, + getters: { + areAllComponentsValid(state) { + for (const key in state.validity) { + if (!state.validity[key]) { + if (key === "display" && state.is2d) { + continue; + } + EventBus.emit("open-panel", key); + return false; + } + } + return true; + }, + canRenderLayout(state, getters) { + return getters["scenarioSettings/isScenarioValid"]; + }, + canRunSimulation(state, getters, _rootState, rootGetters) { + const isScenarioValid = getters["scenarioSettings/isScenarioValid"]; + const transducers = + rootGetters["transducersSettings/transducers"].length > 0; + return isScenarioValid && transducers && !state.isRunningSimulation; + }, + renderedOutput(state) { + return state.renderedOutput; + }, + isRunningSimulation(state) { + return state.isRunningSimulation; + }, + isProcessing(state) { + return state.isProcessing; + }, + processingMessage(state) { + return state.processingMessage; + }, + hasSimulation(state) { + return state.hasSimulation; + }, + is2d(state) { + return state.is2d; + }, + }, +}); + +const debouncedRenderLayout = debounce(() => { + store.dispatch("renderLayout"); +}, 500); + +store.subscribe((mutation) => { + const namespaces = [ + "displaySettings/", + "targetSettings/", + "transducersSettings/", + "simulationSettings/", + "scenarioSettings/", + ]; + + const isNamespaceMutation = namespaces.some((namespace) => + mutation.type.startsWith(namespace) + ); + + if (isNamespaceMutation) { + debouncedRenderLayout(); + } +}); + +export default store; diff --git a/src/web/app/src/store/modules/displaySettings.js b/src/web/app/src/store/modules/displaySettings.js new file mode 100644 index 00000000..2f824942 --- /dev/null +++ b/src/web/app/src/store/modules/displaySettings.js @@ -0,0 +1,53 @@ +const initialState = () => ({ + sliceAxis: "", + slicePosition: null, +}); +export default { + namespaced: true, + state: initialState, + mutations: { + reset(state) { + Object.assign(state, initialState()); + }, + setSliceAxis(state, payload) { + state.sliceAxis = payload; + }, + setSlicePosition(state, payload) { + state.slicePosition = payload; + }, + }, + actions: { + setDisplaySettings(context, payload) { + if (payload === null) { + context.commit("setSliceAxis", ""); + context.commit("setSlicePosition", null); + return; + } + context.commit("setSliceAxis", payload.sliceAxis); + context.commit("setSlicePosition", payload.slicePosition); + }, + setSliceAxis(context, payload) { + context.commit("setSliceAxis", payload); + }, + setSlicePosition(context, payload) { + context.commit("setSlicePosition", payload); + }, + }, + getters: { + sliceAxis(state) { + return state.sliceAxis; + }, + slicePosition(state) { + return state.slicePosition; + }, + displaySettings(state) { + if (state.sliceAxis === "" || state.slicePosition === null) { + return null; + } + return { + sliceAxis: state.sliceAxis, + slicePosition: state.slicePosition, + }; + }, + }, +}; diff --git a/src/web/app/src/store/modules/scenarioSettings.js b/src/web/app/src/store/modules/scenarioSettings.js new file mode 100644 index 00000000..6b5964e1 --- /dev/null +++ b/src/web/app/src/store/modules/scenarioSettings.js @@ -0,0 +1,188 @@ +export default { + namespaced: true, + state() { + return { + scenarioId: null, + ctFile: null, + scenario: null, + isPreBuilt: true, + availableCTs: [], + builtInScenarios: [], + ctSliceAxis: "", + ctSlicePosition: null, + }; + }, + mutations: { + reset(state) { + state.scenarioId = null; + state.ctFile = null; + state.scenario = null; + state.ctSliceAxis = ""; + state.ctSlicePosition = null; + }, + setAvailableCTs(state, payload) { + state.availableCTs = payload; + }, + setBuiltInScenarios(state, payload) { + state.builtInScenarios = payload; + }, + setBuiltinScenario(state, payload) { + state.scenario = payload; + }, + setIsPreBuilt(state, payload) { + state.isPreBuilt = payload; + }, + setScenarioId(state, payload) { + state.scenarioId = payload; + }, + setCTFile(state, payload) { + state.ctFile = payload; + }, + setCtSliceAxis(state, payload) { + state.ctSliceAxis = payload; + }, + setCtSlicePosition(state, payload) { + state.ctSlicePosition = payload; + }, + }, + actions: { + setBuiltInScenarios({ commit }, payload) { + commit("setBuiltInScenarios", payload); + }, + setAvailableCTs({ commit }, payload) { + commit("setAvailableCTs", payload); + }, + setCtSliceAxis({ commit }, payload) { + commit("setCtSliceAxis", payload); + }, + setCtSlicePosition({ commit }, payload) { + commit("setCtSlicePosition", payload); + }, + setCTFile({ commit }, payload) { + commit("setCTFile", payload); + }, + setScenario({ dispatch, commit }, payload) { + commit("setIsPreBuilt", payload.isPreBuilt); + if (payload.isPreBuilt) { + dispatch("setBuiltinScenario", payload.scenarioId); + } else { + dispatch("setCtScenario", payload); + } + }, + setCtScenario({ commit }, payload) { + commit("setCTFile", payload.ctFile); + if (payload.ctSliceAxis) { + commit("setCtSliceAxis", payload.ctSliceAxis); + commit("setCtSlicePosition", payload.ctSlicePosition); + } + }, + setBuiltinScenario({ dispatch, commit, getters }, payload) { + // payload will have the scenario name, we need to iterate over the + // builtInScenarios to find the scenario and then set the scenario in the state + const scenarios = getters.builtInScenarios; + const scenario = scenarios[payload]; + commit("setScenarioId", scenario.scenarioSettings.scenarioId); + commit("setBuiltinScenario", scenario); + dispatch("displaySettings/setDisplaySettings", scenario.displaySettings, { + root: true, + }); + dispatch("transducersSettings/setTransducers", scenario.transducers, { + root: true, + }); + dispatch( + "simulationSettings/setSimulationSettings", + scenario.simulationSettings, + { + root: true, + } + ); + dispatch("targetSettings/setTarget", scenario.target, { + root: true, + }); + }, + setIsPreBuilt({ commit, dispatch }, payload) { + commit("setIsPreBuilt", payload); + dispatch("reset", null, { root: true }); + }, + }, + getters: { + isScenarioValid(state, getters, rootState, { is2d }) { + if (state.isPreBuilt) { + return state.scenarioId !== null; + } + if (is2d) { + return ( + state.ctFile !== null && + state.ctSliceAxis !== "" && + state.ctSlicePosition !== null + ); + } + return state.ctFile !== null; + }, + scenarioSettingsPayload(state, getters, rootState, { is2d }) { + const payload = { + isPreBuilt: state.isPreBuilt, + }; + + // If the scenario is pre-built, add the scenarioId and return the payload + if (state.isPreBuilt) { + payload.scenarioId = state.scenarioId; + return payload; + } + + payload.ctFile = state.ctFile; + + // If the scenario is 2D, also include the ctSliceAxis and ctSlicePosition + if (is2d) { + payload.ctSliceAxis = state.ctSliceAxis; + payload.ctSlicePosition = state.ctSlicePosition; + } + + return payload; + }, + scenario(state) { + return state.scenario; + }, + scenarioId(state) { + return state.scenarioId; + }, + isPreBuilt(state) { + return state.isPreBuilt; + }, + availableCTs(state) { + return state.availableCTs; + }, + ctFile(state) { + return state.ctFile; + }, + ctSliceAxis(state) { + return state.ctSliceAxis; + }, + ctSlicePosition(state) { + return state.ctSlicePosition; + }, + builtInScenarios(state) { + return state.builtInScenarios; + }, + builtInScenarios2d(state) { + const scenarios = state.builtInScenarios; + const filteredScenarios = Object.keys(scenarios) + .filter((key) => scenarios[key].is2d) + .reduce((obj, key) => { + obj[key] = scenarios[key]; + return obj; + }, {}); + return filteredScenarios; + }, + builtInScenarios3d(state) { + const scenarios = state.builtInScenarios; + const filteredScenarios = Object.keys(scenarios) + .filter((key) => !scenarios[key].is2d) + .reduce((obj, key) => { + obj[key] = scenarios[key]; + return obj; + }, {}); + return filteredScenarios; + }, + }, +}; diff --git a/src/web/app/src/store/modules/simulationSettings.js b/src/web/app/src/store/modules/simulationSettings.js new file mode 100644 index 00000000..04fa0241 --- /dev/null +++ b/src/web/app/src/store/modules/simulationSettings.js @@ -0,0 +1,92 @@ +const initialState = () => ({ + simulationPrecision: "6", + centerFrequency: "500000", + isSteadySimulation: true, + materialProperties: { + water: { + vp: "1500", + rho: "1000", + alpha: "0", + renderColor: "#2e86ab", + }, + brain: { + vp: "1560", + rho: "1040", + alpha: "0.3", + renderColor: "#db504a", + }, + corticalBone: { + vp: "2800", + rho: "1850", + alpha: "4", + renderColor: "#faf0ca", + }, + tumor: { + vp: "1650", + rho: "1150", + alpha: "0.8", + renderColor: "#94332f", + }, + }, +}); +export default { + namespaced: true, + state: initialState, + mutations: { + reset(state) { + Object.assign(state, initialState()); + }, + updateMaterialProperty(state, { material, prop, value }) { + if (state.materialProperties[material]) { + state.materialProperties[material][prop] = value; + } + }, + setSimulationPrecision(state, payload) { + state.simulationPrecision = payload; + }, + setCenterFrequency(state, payload) { + state.centerFrequency = payload; + }, + setIsSteadySimulation(state, payload) { + state.isSteadySimulation = payload; + }, + setSimulationSettings(state, payload) { + state.simulationPrecision = payload.simulationPrecision; + state.centerFrequency = payload.centerFrequency; + state.isSteadySimulation = payload.isSteadySimulation; + }, + }, + actions: { + setSimulationSettings({ commit }, payload) { + commit("setSimulationSettings", payload); + }, + setSimulationPrecision({ commit }, payload) { + commit("setSimulationPrecision", payload); + }, + setCenterFrequency({ commit }, payload) { + commit("setCenterFrequency", payload); + }, + setIsSteadySimulation({ commit }, payload) { + commit("setIsSteadySimulation", payload); + }, + }, + getters: { + simulationPrecision(state) { + return state.simulationPrecision; + }, + centerFrequency(state) { + return state.centerFrequency; + }, + isSteadySimulation(state) { + return state.isSteadySimulation; + }, + simulationSettings(state) { + return { + simulationPrecision: state.simulationPrecision, + centerFrequency: state.centerFrequency, + isSteadySimulation: state.isSteadySimulation, + materialProperties: state.materialProperties, + }; + }, + }, +}; diff --git a/src/web/app/src/store/modules/targetSettings.js b/src/web/app/src/store/modules/targetSettings.js new file mode 100644 index 00000000..1c88f144 --- /dev/null +++ b/src/web/app/src/store/modules/targetSettings.js @@ -0,0 +1,54 @@ +const initialState = () => ({ + centerX: null, + centerY: null, + centerZ: null, + radius: null, +}); +export default { + namespaced: true, + state: initialState, + mutations: { + reset(state) { + Object.assign(state, initialState()); + }, + updateTargetProperty(state, payload) { + state[payload.key] = payload.value; + }, + setTarget(state, payload) { + state.centerX = payload.centerX; + state.centerY = payload.centerY; + state.centerZ = payload.centerZ; + state.radius = payload.radius; + }, + }, + actions: { + updateTargetProperty({ commit }, payload) { + commit("updateTargetProperty", payload); + }, + setTarget({ commit }, payload) { + commit("setTarget", payload); + }, + }, + getters: { + centerX(state) { + return state.centerX; + }, + centerY(state) { + return state.centerY; + }, + centerZ(state) { + return state.centerZ; + }, + radius(state) { + return state.radius; + }, + targetPayload(state, getters, rootState, { is2d }) { + return { + centerX: state.centerX, + centerY: state.centerY, + centerZ: is2d ? null : state.centerZ, + radius: state.radius, + }; + }, + }, +}; diff --git a/src/web/app/src/store/modules/transducersSettings.js b/src/web/app/src/store/modules/transducersSettings.js new file mode 100644 index 00000000..121f19f7 --- /dev/null +++ b/src/web/app/src/store/modules/transducersSettings.js @@ -0,0 +1,36 @@ +export default { + namespaced: true, + state() { + return { + transducers: [], + }; + }, + mutations: { + reset() {}, + setTransducers(state, payload) { + state.transducers = payload; + }, + deleteTransducer(state, index) { + state.transducers.splice(index, 1); + }, + updateTransducer(state, { index, settings }) { + state.transducers[index] = { ...state.transducers[index], ...settings }; + }, + addTransducer(state, transducerSettings) { + state.transducers.push(transducerSettings); + }, + }, + actions: { + setTransducers(context, payload) { + context.commit("setTransducers", payload); + }, + addTransducer({ commit }, transducerSettings) { + commit("addTransducer", transducerSettings); + }, + }, + getters: { + transducers(state) { + return state.transducers; + }, + }, +}; diff --git a/src/web/app/vue.config.js b/src/web/app/vue.config.js new file mode 100644 index 00000000..910e297e --- /dev/null +++ b/src/web/app/vue.config.js @@ -0,0 +1,4 @@ +const { defineConfig } = require('@vue/cli-service') +module.exports = defineConfig({ + transpileDependencies: true +}) diff --git a/src/web/computed_tomography.py b/src/web/computed_tomography.py new file mode 100644 index 00000000..d7ef2208 --- /dev/null +++ b/src/web/computed_tomography.py @@ -0,0 +1,224 @@ +"""Contains functions for loading Computed Tomography images and their masks.""" +import json +import pathlib +import tempfile +import zipfile +from dataclasses import dataclass +from typing import Dict, List, Optional, Tuple, Union + +import nibabel as nib +import numpy as np +import pydicom +from nibabel.nifti1 import Nifti1Image +from nibabel.nifti2 import Nifti2Image +from web.messages.settings import Axis + +from neurotechdevkit.materials import DEFAULT_MATERIALS + + +@dataclass +class ComputedTomographyImage: + """A Computed Tomography image with its voxel spacing and material masks.""" + + data: np.ndarray + spacing: Tuple[float, float, float] # voxel sizes in millimeter + material_masks: Dict[str, np.ndarray] + + @property + def spacing_in_meters(self) -> Tuple[float, ...]: + """The voxel spacing in meters.""" + return tuple(s / 1000 for s in self.spacing) + + +@dataclass +class ComputedTomographyInfo: + """Information about a Computed Tomography.""" + + filename: str + shape: Tuple[int, ...] + spacing: str # We need to convert the tuple to a string to be able to serialize it. + + +def _assign_masks(mapping: dict[str, int], data: np.ndarray) -> Dict[str, np.ndarray]: + """Assign the masks to the materials. + + Args: + mapping: A dictionary mapping material names to label values. + data: The Computed Tomography image data. + + Returns: + A dictionary of material masks with material names as keys. + """ + mask_materials: Dict[str, np.ndarray] = {} + for material, label_value in mapping.items(): + label_mask = data == label_value + mask_materials[material] = label_mask.astype(np.bool_) + + return mask_materials + + +def _load_nii(filepath: pathlib.Path) -> Tuple[np.ndarray, Tuple[float, float, float]]: + """Load a NIfTI file. + + Args: + filepath: Path to the NIfTI file. + + Returns: + A tuple containing the image data and the voxel spacing. + """ + image: Union[Nifti1Image, Nifti2Image] = nib.load(filepath) # type: ignore + return image.get_fdata(), image.header.get_zooms() + + +def _load_compacted_dicom( + filepath: pathlib.Path, +) -> Tuple[np.ndarray, Tuple[float, float, float]]: + """Extract and load the dicom files from a zip file. + + Args: + filepath: Path to the zip file. + + Returns: + A tuple containing the image data and the voxel spacing. + """ + with tempfile.TemporaryDirectory() as tmpdir: + with zipfile.ZipFile(filepath, "r") as zip_ref: + zip_ref.extractall(tmpdir) + dicom_files = list(pathlib.Path(tmpdir).glob("*.dcm")) + dicom_files.sort() + dicom_data = [] + for dicom_file in dicom_files: + data = pydicom.dcmread(dicom_file, force=True) + dicom_data.append(data) + + image = np.stack([dicom.pixel_array for dicom in dicom_data]) + spacing = ( + float(dicom_data[0].PixelSpacing[0]), + float(dicom_data[0].PixelSpacing[1]), + float(dicom_data[0].SliceThickness), + ) + return image, spacing + + +def _load_ct_file( + ct_path: pathlib.Path, +) -> Tuple[np.ndarray, Tuple[float, float, float]]: + """Load a CT image file. + + Args: + ct_path: Path to the CT image file. + + Returns: + A tuple containing the image data and the voxel spacing. + """ + if ct_path.suffix == ".nii": + return _load_nii(ct_path) + elif ct_path.suffix == ".zip": + return _load_compacted_dicom(ct_path) + else: + raise ValueError(f"Unsupported CT file type: {ct_path.suffix}") + + +def _load_mapping_file(mapping_path: pathlib.Path) -> dict[str, int]: + """Load the mapping file. + + Args: + mapping_path: Path to the mapping file. + + Returns: + A dictionary mapping material names to label values. + """ + with open(mapping_path, "r") as f: + try: + return json.load(f) + except json.JSONDecodeError: + raise ValueError( + f"Could not load masks file {mapping_path.name} as JSON." + ) from None + + +def get_ct_image( + ct_path: pathlib.Path, + slice_axis: Optional[Axis], + slice_position: Optional[float], +) -> ComputedTomographyImage: + """Load a CT image and its masks. + + Args: + ct_path: Path to the CT image file. + slice_axis: The axis along which to slice the image. + slice_position: The position along the slice axis. + + Returns: + A ComputedTomographyImage object. + """ + array, spacing = _load_ct_file(ct_path) + mapping = _load_mapping_file(ct_path.with_suffix(".json")) + + if slice_axis is not None and slice_position is not None: + if slice_axis == Axis.x: + position = int(slice_position / spacing[0] * 1000) + array = array[position, :, :] + elif slice_axis == Axis.y: + position = int(slice_position / spacing[1] * 1000) + array = array[:, position, :] + elif slice_axis == Axis.z: + position = int(slice_position / spacing[2] * 1000) + array = array[:, :, position] + + material_masks = _assign_masks(mapping, array) + return ComputedTomographyImage( + data=array, spacing=spacing, material_masks=material_masks + ) + + +def get_available_cts(cts_folder: pathlib.Path) -> List[ComputedTomographyInfo]: + """Get the list of available Computed Tomography's in the given directory. + + Args: + cts_folder: Path to the folder containing the Computed Tomography's. + + Returns: + The list of available Computed Tomography's. + """ + files: List[ComputedTomographyInfo] = [] + for file in cts_folder.glob("**/*"): + if file.is_file() and file.suffix in [".nii", ".zip"]: + ct, spacing = _load_ct_file(file) + ct_info = ComputedTomographyInfo( + filename=file.name, shape=ct.shape, spacing=str(list(spacing)) + ) + files.append(ct_info) + return files + + +def validate_ct(directory: pathlib.Path, files: list[str]) -> ComputedTomographyInfo: + """Validate the CT image and its masks. + + Args: + directory: Path to the directory containing the CT image and its masks. + files: List of files in the directory to be checked. + + Returns: + The ComputedTomographyInfo object. + """ + assert ( + len(files) == 2 + ), f"Expected exactly two files but found {len(files)}: {files}" + ct_file, mapping_file = ( + (files[0], files[1]) if files[1].endswith(".json") else (files[1], files[0]) + ) + data, spacing = _load_ct_file(directory / ct_file) + mapping = _load_mapping_file(directory / mapping_file) + data_layers = set(np.unique(data).astype(np.int_)) + assert data_layers == set(mapping.values()), ( + "The labels in the CT image do not match the labels in the masks file." + f"Expected labels: {data_layers}" + ) + + for material in mapping.keys(): + if material not in DEFAULT_MATERIALS: + raise ValueError(f"Material {material} is not supported.") + return ComputedTomographyInfo( + filename=ct_file, shape=data.shape, spacing=str(list(spacing)) + ) diff --git a/src/web/controller.py b/src/web/controller.py new file mode 100644 index 00000000..8dc5b446 --- /dev/null +++ b/src/web/controller.py @@ -0,0 +1,302 @@ +"""Controller for the web app.""" +import base64 +import io +import tempfile +from typing import Dict, Optional, Tuple, Union + +import codepy +import matplotlib.pyplot as plt +from flask import current_app +from web.computed_tomography import get_ct_image +from web.messages.material_properties import Material, MaterialName, MaterialProperties +from web.messages.requests import ( + IndexBuiltInScenario, + RenderLayoutRequest, + SimulateRequest, +) +from web.messages.settings import Axis + +from neurotechdevkit.grid import Grid +from neurotechdevkit.materials import DEFAULT_MATERIALS, get_material +from neurotechdevkit.results import SteadyStateResult2D, SteadyStateResult3D +from neurotechdevkit.scenarios import Scenario2D, Scenario3D +from neurotechdevkit.scenarios.built_in import BUILT_IN_SCENARIOS + + +class Error(Exception): + """Base class for exceptions in this module.""" + + def __str__(self): + """Return the exception message.""" + return self.message + + +class CompilationError(Error): + """Exception raised for errors in the compilation of a scenario.""" + + def __init__(self): + """Initialize the exception.""" + self.message = "Compilation error" + + +class BuiltInScenariosShelf(object): + """Singleton class for storing the already instantiated built-in scenarios.""" + + scenarios: Dict[str, Dict[float, Union[Scenario2D, Scenario3D]]] = {} + + def __new__(cls): + """Create a new instance of the BuiltInScenariosShelf class.""" + if not hasattr(cls, "instance"): + cls.instance = super(BuiltInScenariosShelf, cls).__new__(cls) + return cls.instance + + def get( + self, scenario_id: str, center_frequency: float + ) -> Union[Scenario2D, Scenario3D]: + """ + Return the instantiated built-in scenario with the given id. + + Args: + scenario_id: The id of the scenario. + + Returns: + The built-in scenario. + """ + if scenario_id not in self.scenarios: + self.scenarios[scenario_id] = {} + + if center_frequency not in self.scenarios[scenario_id]: + builtin_scenario = BUILT_IN_SCENARIOS[scenario_id]() + builtin_scenario.center_frequency = center_frequency + builtin_scenario.make_grid() + builtin_scenario.compile_problem() + self.scenarios[scenario_id][center_frequency] = builtin_scenario + return self.scenarios[scenario_id][center_frequency] + + +def get_built_in_scenarios() -> Dict[str, Dict]: + """ + Return a dictionary containing information about all the built-in scenarios. + + Returns: + The dictionary of built-in scenario info. + """ + scenarios = {} + for scenario_id, scenario in BUILT_IN_SCENARIOS.items(): + assert issubclass(scenario, (Scenario2D, Scenario3D)) + settings = IndexBuiltInScenario.from_scenario(scenario_id, scenario) + assert isinstance(settings, IndexBuiltInScenario) + settings.title = scenario_id.replace("_", " ").title() + scenarios[scenario_id] = settings.dict() + return scenarios + + +def get_scenario_layout(config: RenderLayoutRequest) -> str: + """ + Render the layout of a scenario and return the result as a base64 png. + + Args: + config (RenderLayoutRequest): The configuration for the scenario. + + Returns: + The base64 encoded png image. + """ + scenario = _instantiate_scenario( + config.scenarioSettings.isPreBuilt, + config.is2d, + config.scenarioSettings.scenario_id, + config.simulationSettings.centerFrequency, + ) + if not config.scenarioSettings.isPreBuilt: + assert config.scenarioSettings.ctFile is not None + ct_image = get_ct_image( + ct_path=current_app.config["CT_FOLDER"] / config.scenarioSettings.ctFile, + slice_axis=config.scenarioSettings.ctSliceAxis, + slice_position=config.scenarioSettings.ctSlicePosition, + ) + spacing = ct_image.spacing_in_meters + if config.is2d: + assert config.scenarioSettings.ctSliceAxis is not None + if config.scenarioSettings.ctSliceAxis == Axis.x: + spacing = (spacing[1], spacing[2]) + elif config.scenarioSettings.ctSliceAxis == Axis.y: + spacing = (spacing[0], spacing[2]) + else: + spacing = spacing = (spacing[0], spacing[1]) + scenario.grid = Grid.make_shaped_grid( + shape=ct_image.data.shape, spacing=spacing + ) + scenario.material_masks = ct_image.material_masks + _configure_scenario(scenario, config) + fig = scenario.render_layout(show_sources=len(scenario.sources) > 0) + buf = io.BytesIO() + fig.savefig(buf, format="png") + data = base64.b64encode(buf.getbuffer()).decode("ascii") + plt.close(fig) + return data + + +def _instantiate_scenario( + is_prebuilt: bool, + is_2d: bool, + scenario_id: Optional[str], + center_frequency: float, +) -> Union[Scenario2D, Scenario3D]: + """Instantiate the scenario for the web app. + + Args: + is_prebuilt: Whether the scenario is pre-built or not. + is_2d: Whether the scenario is 2D or not. + scenario_id: The id of the scenario. + center_frequency: The center frequency of the scenario. + + Returns: + The instantiated scenario. + """ + if is_prebuilt: + assert scenario_id is not None + builtin_scenario = BuiltInScenariosShelf().get(scenario_id, center_frequency) + material_properties = { + key: value for key, value in builtin_scenario.material_properties.items() + } + sources = [] + if ( + hasattr(builtin_scenario, "sources") + and builtin_scenario.sources is not None + ): + for source in builtin_scenario.sources: + sources.append(source) + + scenario_class = Scenario2D if is_2d else Scenario3D + scenario = scenario_class( + center_frequency=builtin_scenario.center_frequency, + material_properties=material_properties, + material_masks=builtin_scenario.material_masks, + material_outline_upsample_factor=16, # TODO: make this configurable + origin=builtin_scenario.origin, + sources=sources, + target=builtin_scenario.target, + problem=builtin_scenario.problem, + grid=builtin_scenario.grid, + ) + else: + scenario_class = Scenario2D if is_2d else Scenario3D + scenario = scenario_class( + sources=[], + origin=[0, 0] if is_2d else [0, 0, 0], + material_outline_upsample_factor=16, # TODO: make this configurable + ) + + return scenario + + +async def get_simulation_image( + config: SimulateRequest, app_config: dict +) -> Union[Error, Tuple[str, str]]: + """ + Simulate a scenario and return the result as a base64 GIF or PNG. + + Args: + config (SimulateRequest): The configuration for the scenario. + app_config(dict): The configuration of the app. + + Returns: + Tuple[str, str]: The base64 encoded image and the image format. + """ + scenario = _instantiate_scenario( + config.scenarioSettings.isPreBuilt, + config.is2d, + config.scenarioSettings.scenario_id, + config.simulationSettings.centerFrequency, + ) + if not config.scenarioSettings.isPreBuilt: + assert config.scenarioSettings.ctFile is not None + ct_image = get_ct_image( + ct_path=app_config["CT_FOLDER"] / config.scenarioSettings.ctFile, + slice_axis=config.scenarioSettings.ctSliceAxis, + slice_position=config.scenarioSettings.ctSlicePosition, + ) + scenario.grid = Grid.make_shaped_grid( + shape=ct_image.data.shape, spacing=ct_image.spacing[0] / 1000 + ) + scenario.material_masks = ct_image.material_masks + _configure_scenario(scenario, config) + scenario.compile_problem() + if config.simulationSettings.isSteadySimulation: + try: + result = scenario.simulate_steady_state() + except codepy.CompileError: + return CompilationError() + + assert isinstance(result, (SteadyStateResult2D, SteadyStateResult3D)) + fig = result.render_steady_state_amplitudes(show_material_outlines=False) + buf = io.BytesIO() + fig.savefig(buf, format="png") + data = base64.b64encode(buf.getbuffer()).decode("ascii") + plt.close(fig) + return data, "png" + else: + try: + pulse_result = scenario.simulate_pulse() + except codepy.CompileError: + return CompilationError() + + animation = pulse_result.render_pulsed_simulation_animation() + assert hasattr(animation, "_fig") + with tempfile.NamedTemporaryFile(suffix=".gif") as tmpfile: + animation.save(tmpfile.name, writer="imagemagick", fps=30) + tmpfile.seek(0) + buf = io.BytesIO(tmpfile.read()) + data = base64.b64encode(buf.getbuffer()).decode("ascii") + plt.close(animation._fig) + return data, "gif" + + +def get_default_material_properties(center_frequency: float) -> MaterialProperties: + """Get the default material properties with center frequency. + + Args: + center_frequency: The center frequency of the scenario. + + Returns: + The default material properties. + """ + material_properties = {} + for ndk_material_name in DEFAULT_MATERIALS: + ndk_material = get_material(ndk_material_name, center_frequency) + material = Material.from_ndk_material(ndk_material) + material_name = MaterialName.get_material_name(ndk_material_name) + material_properties[material_name] = material + + return MaterialProperties(**material_properties) + + +def _configure_scenario( + scenario: Union[Scenario2D, Scenario3D], + config: Union[RenderLayoutRequest, SimulateRequest], +): + """Configure a scenario based on the given configuration. + + Args: + scenario: The scenario to configure. + config: The configuration. + """ + scenario.center_frequency = config.simulationSettings.centerFrequency + if config_target := config.target: + scenario.target = config_target.to_ndk_target() + + if isinstance(scenario, Scenario3D) and config.displaySettings: + scenario.slice_axis = config.displaySettings.sliceAxis.to_ndk_axis() + scenario.slice_position = config.displaySettings.slicePosition + + config_material_properties = config.simulationSettings.materialProperties + if config_material_properties: + scenario.material_properties = ( + config_material_properties.to_ndk_material_properties() + ) + + config_transducers = config.transducers + scenario.sources.clear() + for configured_transducer in config_transducers: + source = configured_transducer.to_ndk_source() + scenario.sources.append(source) diff --git a/src/web/messages/__init__.py b/src/web/messages/__init__.py new file mode 100644 index 00000000..1ddb844a --- /dev/null +++ b/src/web/messages/__init__.py @@ -0,0 +1 @@ +"""Contain the messages for the web app.""" diff --git a/src/web/messages/material_properties.py b/src/web/messages/material_properties.py new file mode 100644 index 00000000..f4196a8b --- /dev/null +++ b/src/web/messages/material_properties.py @@ -0,0 +1,112 @@ +"""Pydantic models for the material properties.""" +from enum import Enum +from typing import Dict, List, Optional, Tuple, Union + +from pydantic import BaseModel, create_model + +from neurotechdevkit.materials import Material as NDKMaterial +from neurotechdevkit.scenarios import Scenario2D, Scenario3D + + +class Material(BaseModel): + """Material model for the material properties.""" + + vp: float + rho: float + alpha: float + renderColor: str + + @classmethod + def from_ndk_material(cls, material: NDKMaterial) -> "Material": + """Instantiate the web material from an NDKMaterial.""" + return cls( + vp=material.vp, + rho=material.rho, + alpha=material.alpha, + renderColor=material.render_color, + ) + + def to_ndk_material(self) -> NDKMaterial: + """Instantiate the NDKMaterial from the web material.""" + return NDKMaterial( + vp=self.vp, + rho=self.rho, + alpha=self.alpha, + render_color=self.renderColor, + ) + + +class MaterialName(Enum): + """Enum to map the material names between the web and NDK.""" + + water = "water" + brain = "brain" + trabecularBone = "trabecular_bone" + corticalBone = "cortical_bone" + skin = "skin" + tumor = "tumor" + agarHydrogel = "agar_hydrogel" + + @classmethod + def get_material_titles(cls) -> List[Tuple[str, str]]: + """Get the material names and titles. + + Returns: + The list of material names and titles. + """ + titles = [] + for material_name in cls: + title = material_name.value.replace("_", " ").title() + titles.append((material_name.name, title)) + return titles + + @classmethod + def get_material_name(cls, ndk_material_name: str) -> str: + """Get the material name from the NDK material name.""" + for material_name in MaterialName: + if material_name.value == ndk_material_name: + return material_name.name + raise ValueError(f"Material name {ndk_material_name} not found.") + + @classmethod + def get_ndk_material_name(cls, material_name: str) -> str: + """Get the NDK material name from the material name.""" + for material in MaterialName: + if material.name == material_name: + return material.value + raise ValueError(f"Material name {material_name} not found.") + + +_MaterialProperties: BaseModel = create_model( # type: ignore + "MaterialProperties", + **{ + material_name.name: (Optional[Material], None) for material_name in MaterialName + }, +) + + +class MaterialProperties(_MaterialProperties): # type: ignore + """Material properties model for the material properties.""" + + def to_ndk_material_properties(self) -> Dict[str, NDKMaterial]: + """Instantiate the NDKMaterialProperties from the web material properties.""" + ndk_material_properties = {} + for material_name in self.__fields__: + if material := getattr(self, material_name): + ndk_material = material.to_ndk_material() + ndk_material_name = MaterialName.get_ndk_material_name(material_name) + ndk_material_properties[ndk_material_name] = ndk_material + return ndk_material_properties + + @classmethod + def from_scenario( + cls, scenario: Union[Scenario2D, Scenario3D] + ) -> "MaterialProperties": + """Instantiate the web material properties from a scenario.""" + material_properties = {} + ndk_material_properties = scenario.material_properties + for ndk_material_name, ndk_material in ndk_material_properties.items(): + material = Material.from_ndk_material(ndk_material) + material_name = MaterialName.get_material_name(ndk_material_name) + material_properties[material_name] = material + return cls(**material_properties) diff --git a/src/web/messages/requests.py b/src/web/messages/requests.py new file mode 100644 index 00000000..09a576e7 --- /dev/null +++ b/src/web/messages/requests.py @@ -0,0 +1,22 @@ +"""Request models for the web messages sent and received by the web app.""" +from typing import Optional + +from web.messages.settings import DefaultSettings + + +class RenderLayoutRequest(DefaultSettings): + """Render layout request model for the render layout request.""" + + pass + + +class SimulateRequest(DefaultSettings): + """Simulate request model for the simulate request.""" + + pass + + +class IndexBuiltInScenario(DefaultSettings): + """The Scenario settings for the index page.""" + + title: Optional[str] = None diff --git a/src/web/messages/settings.py b/src/web/messages/settings.py new file mode 100644 index 00000000..447bea4c --- /dev/null +++ b/src/web/messages/settings.py @@ -0,0 +1,165 @@ +"""Pydantic models for the scenario settings.""" +from enum import Enum +from typing import Optional, Type, Union + +from pydantic import BaseModel, validator +from web.messages.material_properties import MaterialProperties +from web.messages.transducers import TRANSDUCER_SETTINGS, Transducer + +from neurotechdevkit.scenarios import Scenario2D, Scenario3D, SliceAxis +from neurotechdevkit.scenarios import Target as NDKTarget + + +class Axis(str, Enum): + """Axis enum for the axis of Computed Tomography scans.""" + + x = "x" + y = "y" + z = "z" + + @classmethod + def from_ndk_axis(cls, axis: Optional[SliceAxis]) -> Optional["Axis"]: + """Get the axis from the NDK axis.""" + if axis == SliceAxis.X: + return cls.x + elif axis == SliceAxis.Y: + return cls.y + elif axis == SliceAxis.Z: + return cls.z + return None + + def to_ndk_axis(self) -> SliceAxis: + """Get the NDK axis from the axis.""" + if self == self.x: + return SliceAxis.X + elif self == self.y: + return SliceAxis.Y + elif self == self.z: + return SliceAxis.Z + raise ValueError(f"Invalid axis: {self}") + + +class Target(BaseModel): + """Target model for the target settings.""" + + centerX: float + centerY: float + centerZ: Optional[float] + radius: float + + def to_ndk_target(self) -> NDKTarget: + """Get the NDK target from the target.""" + center = [self.centerX, self.centerY] + if self.centerZ is not None: + center.append(self.centerZ) + return NDKTarget( + target_id="target_1", + center=center, + radius=self.radius, + description="", + ) + + @classmethod + def from_ndk_target(cls, target: NDKTarget) -> "Target": + """Get the target from the NDK target.""" + return cls( + centerX=target.center[0], + centerY=target.center[1], + centerZ=target.center[2] if len(target.center) > 2 else None, + radius=target.radius, + ) + + +class DisplaySettings(BaseModel): + """Display settings model for slicing when running 3D simulations.""" + + sliceAxis: Axis + slicePosition: float + + +class ScenarioSettings(BaseModel): + """Scenario settings model for the scenario settings.""" + + isPreBuilt: bool + scenarioId: Optional[str] + ctFile: Optional[str] + ctSliceAxis: Optional[Axis] + ctSlicePosition: Optional[float] + + @validator("scenarioId", always=True) + def _validate(cls, value, values): + if values.get("isPreBuilt") and not value: + raise ValueError("scenarioId is required for prebuilt scenarios") + return value + + @property + def scenario_id(self) -> Optional[str]: + """Get the scenario id.""" + return self.scenarioId + + +class SimulationSettings(BaseModel): + """Simulation settings model for the simulation settings.""" + + simulationPrecision: int + centerFrequency: float + isSteadySimulation: bool + materialProperties: MaterialProperties + + +class DefaultSettings(BaseModel): + """Pydantic model with the default parameters to run a simulation.""" + + is2d: bool + scenarioSettings: ScenarioSettings + transducers: list[Transducer] + displaySettings: Optional[DisplaySettings] + target: Optional[Target] + simulationSettings: SimulationSettings + + @classmethod + def from_scenario( + cls, scenario_id: str, scenario: Union[Type[Scenario2D], Type[Scenario3D]] + ) -> "DefaultSettings": + """Instantiate the settings from a built in scenario.""" + is_2d = issubclass(scenario, Scenario2D) + center_frequency = scenario.center_frequency + assert isinstance(center_frequency, float) + material_properties = MaterialProperties.from_scenario(scenario) + simulation_settings = SimulationSettings( + simulationPrecision=6, # TODO: make this a parameter + centerFrequency=center_frequency, + isSteadySimulation=True, # default value + materialProperties=material_properties, + ) + scenario_settings = ScenarioSettings( + scenarioId=scenario_id, + isPreBuilt=True, + ) + if is_2d: + display_settings = None + else: + display_settings = DisplaySettings( + sliceAxis=Axis.from_ndk_axis(scenario.slice_axis), + slicePosition=scenario.slice_position, + ) + + scenario_target = scenario.target + assert isinstance(scenario_target, NDKTarget) + target = Target.from_ndk_target(scenario_target) + + transducers = [] + if hasattr(scenario, "sources") and scenario.sources is not None: + for source in scenario.sources: + settings_model = TRANSDUCER_SETTINGS[type(source)] + transducer_settings = settings_model.from_source(source) + transducers.append(transducer_settings) + + return cls( + is2d=is_2d, + scenarioSettings=scenario_settings, + transducers=transducers, + target=target, + simulationSettings=simulation_settings, + displaySettings=display_settings, + ) diff --git a/src/web/messages/transducers.py b/src/web/messages/transducers.py new file mode 100644 index 00000000..60b29874 --- /dev/null +++ b/src/web/messages/transducers.py @@ -0,0 +1,322 @@ +"""Pydantic models for the transducers and their settings.""" +import re +from enum import Enum +from typing import Dict, List, Literal, Optional, Tuple, Type, Union + +import numpy as np +from pydantic import BaseModel, Field +from typing_extensions import Annotated + +from neurotechdevkit.sources import ( + FocusedSource2D, + FocusedSource3D, + PhasedArraySource2D, + PhasedArraySource3D, + PlanarSource2D, + PlanarSource3D, + PointSource2D, + PointSource3D, + Source, +) + + +def title_case(string: str) -> str: + """Convert a string to title case. + + Example: + >>> title_case('helloWorld') + 'Hello World' + + Args: + string: The string to convert to title case. + + Returns: + The string in title case. + """ + if string != "": + result = re.sub("([A-Z])", r" \1", string) + return result[:1].upper() + result[1:] + return "" + + +class TransducerType(str, Enum): + """Transducer type enum for the type of transducer.""" + + pointSource = "pointSource" + phasedArraySource = "phasedArraySource" + focusedSource = "focusedSource" + planarSource = "planarSource" + + @classmethod + def from_source( + cls, + source: Union[ + PointSource2D, + PointSource3D, + PhasedArraySource2D, + PhasedArraySource3D, + FocusedSource2D, + FocusedSource3D, + PlanarSource2D, + PlanarSource3D, + ], + ): + """Instantiate the transducer type from a source.""" + if isinstance(source, (PointSource2D, PointSource3D)): + return cls.pointSource + elif isinstance(source, (PhasedArraySource2D, PhasedArraySource3D)): + return cls.phasedArraySource + elif isinstance(source, (FocusedSource2D, FocusedSource3D)): + return cls.focusedSource + elif isinstance(source, (PlanarSource2D, PlanarSource3D)): + return cls.planarSource + + @classmethod + def get_transducer_titles(cls) -> List[Tuple[str, str]]: + """Get the transducer types and titles. + + Returns: + The list of transducer types and titles. + """ + titles = [] + for transducer_type in cls: + title = title_case(transducer_type.value) + titles.append((transducer_type.name, title)) + return titles + + +class _BaseSourceSettings(BaseModel): + @classmethod + def from_source(cls, source) -> BaseModel: + """Instantiate the source settings from a source.""" + raise NotImplementedError + + +class PointSourceSettings(_BaseSourceSettings): + """Settings for a point source transducer.""" + + transducerType: Literal[TransducerType.pointSource] + delay: float + position: List[float] + + @classmethod + def from_source( + cls, source: Union[PointSource2D, PointSource3D] + ) -> "PointSourceSettings": + """Instantiate the source settings from a source.""" + return cls( + transducerType=TransducerType.pointSource, + position=source._position, + delay=source._delay, + ) + + def to_ndk_source(self) -> Union[PointSource2D, PointSource3D]: + """Instantiate the NDK source from transducer settings.""" + if len(self.position) == 2: + return PointSource2D( + delay=self.delay, + position=self.position, + ) + else: + return PointSource3D( + delay=self.delay, + position=self.position, + ) + + +class PhasedArraySettings(_BaseSourceSettings): + """Settings for a phased array transducer.""" + + transducerType: Literal[TransducerType.phasedArraySource] + position: List[float] + direction: List[float] + numPoints: int + numElements: int + pitch: float + elementWidth: float + tiltAngle: float + focalLength: Optional[float] + delay: float + elementDelays: Optional[List[float]] + centerLine: Optional[List[float]] + height: Optional[float] + + @classmethod + def from_source( + cls, source: Union[PhasedArraySource2D, PhasedArraySource3D] + ) -> "PhasedArraySettings": + """Instantiate the source settings from a source.""" + if source._focal_length == np.inf: + focal_length = None + else: + focal_length = source._focal_length + + element_delays = None + if isinstance(source._configured_element_delays, list): + element_delays = source._configured_element_delays + elif isinstance(source._configured_element_delays, np.ndarray): + element_delays = source._configured_element_delays.tolist() + + return cls( + transducerType=TransducerType.phasedArraySource, + position=source._position, + direction=source._direction, + numPoints=source._num_points, + numElements=source._num_elements, + pitch=source._pitch, + elementWidth=source._element_width, + tiltAngle=source._tilt_angle, + focalLength=focal_length, + delay=source._delay, + elementDelays=element_delays, + centerLine=None, + height=None, + ) + + def to_ndk_source(self) -> Union[PhasedArraySource2D, PhasedArraySource3D]: + """Instantiate the NDK source from transducer settings.""" + if len(self.position) == 2: + return PhasedArraySource2D( + position=self.position, + direction=self.direction, + num_points=self.numPoints, + num_elements=self.numElements, + pitch=self.pitch, + element_width=self.elementWidth, + tilt_angle=self.tiltAngle, + focal_length=self.focalLength or np.inf, + delay=self.delay, + element_delays=self.elementDelays, + ) + else: + assert self.centerLine is not None + assert self.height is not None + return PhasedArraySource3D( + position=self.position, + direction=self.direction, + num_points=self.numPoints, + num_elements=self.numElements, + pitch=self.pitch, + element_width=self.elementWidth, + tilt_angle=self.tiltAngle, + focal_length=self.focalLength or np.inf, + delay=self.delay, + element_delays=self.elementDelays, + center_line=self.centerLine, + height=self.height, + ) + + +class FocusedSourceSettings(_BaseSourceSettings): + """Settings for a focused source transducer.""" + + transducerType: Literal[TransducerType.focusedSource] + position: List[float] + aperture: float + direction: List[float] + focalLength: float + numPoints: int + delay: float + + @classmethod + def from_source( + cls, source: Union[FocusedSource2D, FocusedSource3D] + ) -> "FocusedSourceSettings": + """Instantiate the source settings from a source.""" + return cls( + transducerType=TransducerType.focusedSource, + position=source._position, + direction=source._direction, + aperture=source._aperture, + focalLength=source._focal_length, + numPoints=source._num_points, + delay=source._delay, + ) + + def to_ndk_source(self) -> Union[FocusedSource2D, FocusedSource3D]: + """Instantiate the NDK source from transducer settings.""" + if len(self.position) == 2: + return FocusedSource2D( + position=self.position, + direction=self.direction, + aperture=self.aperture, + focal_length=self.focalLength, + num_points=self.numPoints, + delay=self.delay, + ) + else: + return FocusedSource3D( + position=self.position, + direction=self.direction, + aperture=self.aperture, + focal_length=self.focalLength, + num_points=self.numPoints, + delay=self.delay, + ) + + +class PlanarSourceSettings(_BaseSourceSettings): + """Settings for a planar source transducer.""" + + transducerType: Literal[TransducerType.planarSource] + aperture: float + delay: float + direction: List[float] + numPoints: int + position: List[float] + + @classmethod + def from_source( + cls, source: Union[PlanarSource2D, PlanarSource3D] + ) -> "PlanarSourceSettings": + """Instantiate the source settings from a source.""" + return cls( + transducerType=TransducerType.planarSource, + aperture=source._aperture, + delay=source._delay, + direction=source._direction, + numPoints=source._num_points, + position=source._position, + ) + + def to_ndk_source(self) -> Union[PlanarSource2D, PlanarSource3D]: + """Instantiate the NDK source from transducer settings.""" + if len(self.position) == 2: + return PlanarSource2D( + aperture=self.aperture, + delay=self.delay, + direction=self.direction, + num_points=self.numPoints, + position=self.position, + ) + else: + return PlanarSource3D( + aperture=self.aperture, + delay=self.delay, + direction=self.direction, + num_points=self.numPoints, + position=self.position, + ) + + +TRANSDUCER_SETTINGS: Dict[Type[Source], Type[_BaseSourceSettings]] = { + PointSource2D: PointSourceSettings, + PointSource3D: PointSourceSettings, + PhasedArraySource2D: PhasedArraySettings, + PhasedArraySource3D: PhasedArraySettings, + FocusedSource2D: FocusedSourceSettings, + FocusedSource3D: FocusedSourceSettings, + PlanarSource2D: PlanarSourceSettings, + PlanarSource3D: PlanarSourceSettings, +} + + +Transducer = Annotated[ + Union[ + PointSourceSettings, + PhasedArraySettings, + FocusedSourceSettings, + PlanarSourceSettings, + ], + Field(discriminator="transducerType"), +] diff --git a/src/web/simulation_runner.py b/src/web/simulation_runner.py new file mode 100644 index 00000000..72d0b658 --- /dev/null +++ b/src/web/simulation_runner.py @@ -0,0 +1,170 @@ +"""SimulationRunner class, which is a singleton that manages the simulation process.""" +import asyncio +import ctypes +from queue import Queue +from threading import Thread +from typing import Awaitable, Optional, Tuple + + +def terminate_thread(thread: Thread): + """Terminates a python thread from another thread. + + Args: + thread: The thread to terminate. + """ + assert thread.ident is not None, "thread ID must be defined" + exc = ctypes.py_object(SystemExit) + res = ctypes.pythonapi.PyThreadState_SetAsyncExc(ctypes.c_long(thread.ident), exc) + if res == 0: + return + elif res > 1: + ctypes.pythonapi.PyThreadState_SetAsyncExc(thread.ident, None) + raise SystemError("PyThreadState_SetAsyncExc failed") + + +class Response: + """Base class for responses.""" + + type: str + + +class SimulationResponse(Response): + """Response containing the result of the simulation.""" + + type = "simulation" + data: Tuple[str, str] + + def __init__(self, data: Tuple[str, str]): + """Initialize the response. + + Args: + data: The result of the simulation. + """ + self.data = data + + +class SimulationError(Response): + """Response indicating that an error occurred during the simulation.""" + + type = "simulation_error" + error: Exception + + def __init__(self, error: Exception): + """Initialize the response. + + Args: + error: The error that occurred during the simulation. + """ + self.error = error + + +class NoSimulationResponse(Response): + """Response indicating that the simulation has not been run.""" + + type = "no_simulation" + + +class SimulationRunner(object): + """Runs the simulation process and stores the result.""" + + _running: bool + _last_result: Response + _requests_queue: Queue + _configuration: dict + + def __new__(cls): + """Singleton implementation.""" + if not hasattr(cls, "instance"): + cls.instance = super(SimulationRunner, cls).__new__(cls) + return cls.instance + + def get(self) -> Response: + """Get the stored result or wait for the simulation to finish.""" + if self.has_last_result: + return self._last_result + + if self._running: + callback_queue: Queue[Response] = Queue(1) + self._requests_queue.put(callback_queue) + return callback_queue.get() + return NoSimulationResponse() + + def _run_in_loop(self, loop, executor, result): + asyncio.set_event_loop(loop) + result.append(loop.run_until_complete(executor)) + + def run(self, executor: Awaitable, configuration: dict) -> Response: + """Run the simulation process and store the result. + + Args: + executor: The coroutine to run. + configuration: The configuration of the simulation. + + Returns: + The result of the simulation. + """ + self._running = True + self._configuration = configuration + communication_pipe: list[Tuple[str, str]] = [] + self._thread = Thread( + target=self._run_in_loop, args=(self._loop, executor, communication_pipe) + ) + self._thread.start() + self._thread.join() + self._running = False + result: Response + if len(communication_pipe) > 0: + response = communication_pipe.pop() + if isinstance(response, Exception): + result = SimulationError(response) + else: + result = SimulationResponse(response) + else: + result = NoSimulationResponse() + self._last_result = result + + while not self._requests_queue.empty(): + callback = self._requests_queue.get() + callback.put(result) + callback.task_done() + return result + + @property + def is_running(self) -> bool: + """Whether the simulation is running.""" + return self._running + + @property + def has_last_result(self) -> bool: + """Whether the simulation has a result.""" + return isinstance(self._last_result, SimulationResponse) + + @property + def configuration(self) -> Optional[dict]: + """The configuration of the simulation. + + Returns: + The configuration of the simulation if it exists, None otherwise. + """ + if self._configuration: + return self._configuration + return None + + def initialize(self): + """Initialize the simulation runner.""" + self._requests_queue = Queue() + self._last_result = None + self._thread = None + self._loop = asyncio.new_event_loop() + self._running = False + self._configuration = None + + def reset(self): + """Reset the simulation runner.""" + if self._thread: + terminate_thread(self._thread) + self._thread = None + self._loop = asyncio.new_event_loop() + self._running = False + self._configuration = None + self._last_result = NoSimulationResponse() diff --git a/src/web/views.py b/src/web/views.py new file mode 100644 index 00000000..0d5b4f42 --- /dev/null +++ b/src/web/views.py @@ -0,0 +1,149 @@ +"""Views for the web app.""" + +import os +import shutil +import tempfile +from pathlib import Path + +from flask import Blueprint, current_app, jsonify, request, send_from_directory +from pydantic import ValidationError +from web.computed_tomography import get_available_cts, validate_ct +from web.controller import ( + get_built_in_scenarios, + get_default_material_properties, + get_scenario_layout, + get_simulation_image, +) +from web.messages.material_properties import MaterialName +from web.messages.requests import RenderLayoutRequest, SimulateRequest +from web.messages.transducers import TransducerType +from web.simulation_runner import SimulationRunner +from werkzeug.utils import secure_filename + +bp = Blueprint("main", __name__, url_prefix="/") + +DEFAULT_CENTER_FREQUENCY = 5e5 + + +@bp.route("/", defaults={"path": ""}) +@bp.route("/") +def serve_spa(path): + """Serve the single page app.""" + if path != "" and os.path.exists(os.path.join(current_app.static_folder, path)): + return send_from_directory(current_app.static_folder, path) + else: + return send_from_directory(current_app.static_folder, "index.html") + + +@bp.route("/info") +async def info(): + """Render the initial page, listing all the built-in scenarios.""" + return jsonify( + has_simulation=SimulationRunner().has_last_result, + is_running_simulation=SimulationRunner().is_running, + configuration=SimulationRunner().configuration, + built_in_scenarios=get_built_in_scenarios(), + materials=MaterialName.get_material_titles(), + material_properties=get_default_material_properties( + DEFAULT_CENTER_FREQUENCY + ).dict(), + transducer_types=TransducerType.get_transducer_titles(), + available_cts=get_available_cts(current_app.config["CT_FOLDER"]), + ) + + +@bp.route("/simulation", methods=["POST"]) +def simulate(): + """Simulate a scenario and return the result as a base64 GIF or PNG.""" + try: + config = SimulateRequest.parse_obj(request.json) + except ValidationError as e: + # If the JSON data doesn't match the Pydantic model, + # return a 400 Bad Request response + return jsonify({"error": str(e)}), 400 + result = SimulationRunner().run( + get_simulation_image(config=config, app_config=current_app.config), + config.dict(), + ) + if result.type == "simulation": + data, _ = result.data + return jsonify( + { + "data": data, + } + ) + elif result.type == "simulation_error": + return jsonify({"error": str(result.error)}), 400 + elif result.type == "no_simulation": + return jsonify({"error": "No result"}), 400 + + +@bp.route("/simulation", methods=["GET"]) +def get_simulation(): + """Get the result of a finished or running simulation as a base64 GIF or PNG.""" + result = SimulationRunner().get() + if result.type == "simulation": + data, _ = result.data + return jsonify( + { + "data": data, + } + ) + elif result.type == "simulation_error": + return jsonify({"error": str(result.error)}), 400 + elif result.type == "no_simulation": + return jsonify({"error": "No result"}), 400 + + +@bp.route("/simulation", methods=["DELETE"]) +def remove_simulation(): + """Remove the result of a finished or running simulation.""" + SimulationRunner().reset() + return "removed" + + +@bp.route("/render_layout", methods=["POST"]) +async def render_layout(): + """Render the layout of a scenario and return the result as a base64 PNG.""" + try: + config = RenderLayoutRequest.parse_obj(request.json) + except ValidationError as e: + # If the JSON data doesn't match the Pydantic model, + # return a 400 Bad Request response + return jsonify({"error": str(e)}), 400 + + data = get_scenario_layout(config) + return jsonify({"data": data}) + + +@bp.route("/ct_scan", methods=["POST"]) +def ct_scan(): + """Upload a Computed Tomography scan and return the available scans.""" + files = list(request.files.values()) + temp_dir = Path(tempfile.mkdtemp()) + saved_files = [] + for file in files: + filename = secure_filename(file.filename) + file.save(temp_dir / filename) + saved_files.append(filename) + + try: + ct_info = validate_ct(temp_dir, saved_files) + for filename in saved_files: + # moving files from the temporary directory to the CT_FOLDER + (temp_dir / filename).rename(current_app.config["CT_FOLDER"] / filename) + except Exception as e: + return jsonify({"error": str(e)}), 400 + finally: + shutil.rmtree(temp_dir) + + return jsonify( + { + "available_cts": get_available_cts(current_app.config["CT_FOLDER"]), + "selected_ct": { + "filename": ct_info.filename, + "shape": ct_info.shape, + "spacing": ct_info.spacing, + }, + } + ) diff --git a/tests/neurotechdevkit/scenarios/test_results.py b/tests/neurotechdevkit/scenarios/test_results.py index 02cd1027..7edabee0 100644 --- a/tests/neurotechdevkit/scenarios/test_results.py +++ b/tests/neurotechdevkit/scenarios/test_results.py @@ -112,8 +112,8 @@ def a_test_scenario_2d(): original_sources = [source for source in scenario.sources] scenario.sources = [ sources.FocusedSource2D( - position=np.array([0.02, 0.02]), - direction=np.array([1.0, -1.0]), + position=[0.02, 0.02], + direction=[1.0, -1.0], aperture=0.025, focal_length=0.07, num_points=100, diff --git a/tests/web/__init__.py b/tests/web/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/tests/web/conftest.py b/tests/web/conftest.py new file mode 100644 index 00000000..b90062a8 --- /dev/null +++ b/tests/web/conftest.py @@ -0,0 +1,61 @@ +import pytest + + +@pytest.fixture() +def request_payload_example(): + return { + "is2d": True, + "displaySettings": None, + "scenarioSettings": { + "isPreBuilt": True, + "scenarioId": "Scenario0", + }, + "transducers": [ + { + "aperture": 0.01, + "delay": 0, + "direction": [1, 0], + "focalLength": 0.01, + "numPoints": 1000, + "position": [0.01, 0], + "transducerType": "focusedSource", + } + ], + "target": { + "centerX": "0.0024", + "centerY": "0.0285", + "centerZ": None, + "radius": "0.0017", + }, + "simulationSettings": { + "materialProperties": { + "water": { + "vp": "1500", + "rho": "1000", + "alpha": "0", + "renderColor": "#2e86ab", + }, + "brain": { + "vp": "1560", + "rho": "1040", + "alpha": "0.3", + "renderColor": "#db504a", + }, + "corticalBone": { + "vp": "2800", + "rho": "1850", + "alpha": "4", + "renderColor": "#faf0ca", + }, + "tumor": { + "vp": "1650", + "rho": "1150", + "alpha": "0.8", + "renderColor": "#94332f", + }, + }, + "simulationPrecision": "5", + "centerFrequency": "500000", + "isSteadySimulation": True, + }, + } diff --git a/tests/web/test_controller.py b/tests/web/test_controller.py new file mode 100644 index 00000000..0428a297 --- /dev/null +++ b/tests/web/test_controller.py @@ -0,0 +1,9 @@ +from web import controller + +from neurotechdevkit.scenarios.built_in import BUILT_IN_SCENARIOS + + +def test_get_builtin_scenarios(): + """Test that the built-in scenarios can be parsed into IndexBuiltInScenario.""" + built_in_scenarios = controller.get_built_in_scenarios() + assert len(built_in_scenarios) == len(BUILT_IN_SCENARIOS) diff --git a/tests/web/test_messages.py b/tests/web/test_messages.py new file mode 100644 index 00000000..48530ea8 --- /dev/null +++ b/tests/web/test_messages.py @@ -0,0 +1,27 @@ +"""Tests for the web.messages module.""" +from web.messages.requests import ( + IndexBuiltInScenario, + RenderLayoutRequest, + SimulateRequest, +) + +from neurotechdevkit.scenarios.built_in import BUILT_IN_SCENARIOS + + +def test_load_render_layout_request(request_payload_example): + """Test that the RenderLayoutRequest can be loaded from JSON.""" + settings = RenderLayoutRequest.parse_obj(request_payload_example) + assert settings.scenarioSettings.scenarioId == "Scenario0" + + +def test_load_simulate_request(request_payload_example): + """Test that the SimulateRequest can be loaded from JSON.""" + settings = SimulateRequest.parse_obj(request_payload_example) + assert settings.scenarioSettings.scenarioId == "Scenario0" + + +def test_parse_builtin_scenarios(): + """Test that the built-in scenarios can be parsed into IndexBuiltInScenario.""" + for scenario_id, scenario in BUILT_IN_SCENARIOS.items(): + settings = IndexBuiltInScenario.from_scenario(scenario_id, scenario) + assert settings.scenarioSettings.scenarioId == scenario_id diff --git a/tests/web/test_views.py b/tests/web/test_views.py new file mode 100644 index 00000000..95f98f53 --- /dev/null +++ b/tests/web/test_views.py @@ -0,0 +1,65 @@ +"""Collection of smoke tests for the web app.""" + +import json + +import pytest +from web.app import app + + +@pytest.fixture +def test_client(tmp_path): + """Create a test client for the flask app.""" + app.config["CT_FOLDER"] = tmp_path + with app.test_client() as testing_client: + yield testing_client + + +def test_index(test_client): + """Test the index page.""" + response = test_client.get("/") + assert response.status_code == 200 + + +def test_render_layout(test_client, request_payload_example): + """Test the render_layout endpoint with the simplest payload.""" + response = test_client.post( + "/render_layout", + data=json.dumps(request_payload_example), + content_type="application/json", + ) + assert "data" in response.json + assert len(response.json["data"]) > 48000, "The image should be at least 48KB." + assert response.status_code == 200 + + +def test_invalid_payload_render_layout(test_client): + """/render_layout returns a 400 Bad Request when given an invalid payload.""" + response = test_client.post( + "/render_layout", + data=json.dumps({"INCOMPLETE": "PAYLOAD"}), + content_type="application/json", + ) + assert response.status_code == 400 + + +@pytest.mark.integration +def test_simulate(test_client, request_payload_example): + """Test the simulate endpoint with the simplest payload.""" + response = test_client.post( + "/simulation", + data=json.dumps(request_payload_example), + content_type="application/json", + ) + assert "data" in response.json + assert len(response.json["data"]) > 80000, "The image should be at least 80KB." + assert response.status_code == 200 + + +def test_invalid_payload_simulate(test_client): + """/simulate returns a 400 Bad Request when given an invalid payload.""" + response = test_client.post( + "/simulation", + data=json.dumps({"INCOMPLETE": "PAYLOAD"}), + content_type="application/json", + ) + assert response.status_code == 400 diff --git a/whitelist.txt b/whitelist.txt index f1fa3a48..c6ca15c1 100644 --- a/whitelist.txt +++ b/whitelist.txt @@ -21,8 +21,11 @@ colormaps compressional config coords +coroutine +dataset der devito +dicom dimensionality directivity docstring @@ -31,7 +34,8 @@ downsampling dt dx eg -Enum +enum +eq et ffmpeg fft @@ -51,6 +55,7 @@ img imshow intercomparison ipython +iterable javascript jshtml jupyter @@ -79,6 +84,7 @@ ppp ppw pre precomputed +pydantic reproducibility resampling ricker