diff --git a/.github/workflows/python-publish.yml b/.github/workflows/python-publish.yml new file mode 100644 index 0000000..68a8acb --- /dev/null +++ b/.github/workflows/python-publish.yml @@ -0,0 +1,41 @@ +# This workflow will upload a Python Package using Twine when a release is created +# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python#publishing-to-package-registries + +# This workflow uses actions that are not certified by GitHub. +# They are provided by a third-party and are governed by +# separate terms of service, privacy policy, and support +# documentation. + +name: Upload Python Package + +on: + release: + types: [published] + +permissions: + contents: read + +jobs: + deploy: + + runs-on: ubuntu-latest + + steps: + - uses: actions/checkout@v3 + - name: Set up Python + uses: actions/setup-python@v3 + with: + python-version: '3.x' + - name: Install dependencies + run: | + python -m pip install --upgrade pip + python -m pip install flit + flit install + - name: Build package + run: | + flit build + - name: Publish package + uses: pypa/gh-action-pypi-publish@27b31702a0e7fc50959f5ad993c78deac1bdfc29 + with: + user: __token__ + password: ${{ secrets.PYPI_API_TOKEN }} diff --git a/pyproject.toml b/pyproject.toml index f21d551..74654eb 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -20,3 +20,9 @@ test = ["pytest"] [project.urls] Home = "https://github.com/structuralpython/plotly_3d_primitives" + +[dependency-groups] +dev = [ + "ipykernel>=6.29.5", + "nbformat>=5.10.4", +] diff --git a/src/plotly_3d_primitives/__init__.py b/src/plotly_3d_primitives/__init__.py index 0c4d8a2..fb7bb09 100644 --- a/src/plotly_3d_primitives/__init__.py +++ b/src/plotly_3d_primitives/__init__.py @@ -3,6 +3,6 @@ shapes in plotly """ -__version__ = "0.3.0" +__version__ = "0.4.0" from .shapes import * diff --git a/src/plotly_3d_primitives/shapes.py b/src/plotly_3d_primitives/shapes.py index 96b2267..8321005 100644 --- a/src/plotly_3d_primitives/shapes.py +++ b/src/plotly_3d_primitives/shapes.py @@ -12,6 +12,7 @@ def cube( bounds: Optional[tuple[float]] = None, color: str = "#aaa", opacity: float = 0.5, + **kwargs ) -> go.Mesh3d: if bounds is not None and len(bounds) == 6: x0, x1, y0, y1, z0, z1 = bounds @@ -34,7 +35,7 @@ def cube( k_array = [3, 3, 7, 7, 4, 5, 4, 7, 7, 6, 6, 7] mesh = go.Mesh3d( - x=x_array, y=y_array, z=z_array, opacity=opacity, color=color, alphahull=0 + x=x_array, y=y_array, z=z_array, opacity=opacity, color=color, alphahull=0, **kwargs ) # mesh = go.Mesh3d( # x=x_array, @@ -58,6 +59,7 @@ def prism( capping=True, color: str = "#aaa", opacity: float = 0.5, + **kwargs ) -> go.Mesh3d: anchor_x, anchor_y, anchor_z = center @@ -73,7 +75,7 @@ def prism( x_array, y_array, z_array = apply_transformations(x_array, y_array, z_array, center, direction) return go.Mesh3d( - x=x_array, y=y_array, z=z_array, alphahull=0, color=color, opacity=opacity + x=x_array, y=y_array, z=z_array, alphahull=0, color=color, opacity=opacity, **kwargs ) @@ -87,6 +89,7 @@ def cone( resolution: int = 6, color: str = "#aaa", opacity: float = 0.5, + **kwargs ) -> go.Mesh3d: anchor_x, anchor_y, anchor_z = center @@ -107,14 +110,14 @@ def cone( x_array, y_array, z_array = apply_transformations(x_array, y_array, z_array, center, direction) return go.Mesh3d( - x=x_array, y=y_array, z=z_array, alphahull=0, color=color, opacity=opacity + x=x_array, y=y_array, z=z_array, alphahull=0, color=color, opacity=opacity, **kwargs ) def sphere( radius=0.5, center=(0.0, 0.0, 0.0), - direction=(0.0, 0.0, 1.0), + direction=(1.0, 0.0, 0.0), theta_resolution=30, phi_resolution=30, start_theta=0.0, @@ -123,8 +126,9 @@ def sphere( end_phi=180.0, color="#555", opacity=0.5, + **kwargs ) -> go.Mesh3d: - anchor_x, anchor_y, anchor_z = center + anchor_x, anchor_y, anchor_z = (0., 0., 0.) phi = np.linspace(start_phi, 2 * np.radians(end_phi), phi_resolution + 1) theta = np.linspace(start_theta, np.radians(end_theta), theta_resolution + 1) @@ -134,11 +138,11 @@ def sphere( z_array = np.ravel(anchor_z + np.cos(phi) * radius_zy) y_array = np.ravel(anchor_y + np.sin(phi) * radius_zy) x_array = np.ravel(anchor_x + radius * np.cos(theta)) - x_array, y_array, z_array = apply_transformations(x_array, y_array, z_array, center, direction) - + # print(center, direction) + # print(y_array) return go.Mesh3d( - x=x_array, y=y_array, z=z_array, alphahull=0, color=color, opacity=opacity + x=x_array, y=y_array, z=z_array, alphahull=0, color=color, opacity=opacity, **kwargs ) @@ -149,6 +153,7 @@ def line( color: str = "#aaa", line_width: float = 1.0, opacity: float = 0.8, + **kwargs ): """ Returns a trace of a line in 3d space. @@ -168,6 +173,7 @@ def line( opacity=opacity, mode="lines", line=line_properties, + **kwargs ) @@ -181,6 +187,7 @@ def circular_arc_from_normal( opacity=0.5, line_width=1.0, return_points=False, + **kwargs ) -> go.Mesh3d: """ Create a circular arc defined by normal to the plane of the arc, and an @@ -231,6 +238,7 @@ def circular_arc_from_normal( line=line_properties, opacity=opacity, mode="lines", + **kwargs ), points else: return go.Scatter3d( @@ -240,6 +248,7 @@ def circular_arc_from_normal( line=line_properties, opacity=opacity, mode="lines", + **kwargs ) @@ -250,6 +259,7 @@ def rectangle( normal=(1.0, 0.0, 0.0), color: str = "#aaa", opacity: float = 0.5, + **kwargs ) -> go.Mesh3d: z0 = center[2] - b / 2 z1 = center[2] + b / 2 @@ -264,10 +274,6 @@ def rectangle( y_array = [y0, y0, y1, y1, y0, y0, y1, y1] z_array = [z0, z0, z0, z0, z1, z1, z1, z1] - # i_array = [0, 1] - # j_array = [1, 2] - # k_array = [3, 3] - x_array, y_array, z_array = apply_transformations(x_array, y_array, z_array, center, normal) mesh = go.Mesh3d( @@ -277,6 +283,7 @@ def rectangle( opacity=opacity, color=color, alphahull=0, + **kwargs ) return mesh @@ -330,6 +337,7 @@ def transform_points( collection (which is originally oriented toward (1, 0, 0)). """ transform_matrix = reorient(direction=new_direction) + # print(transform_matrix) oriented_point_matrix = transform_matrix @ point_matrix oriented_point_matrix_3 = oriented_point_matrix[0:3] if not np.allclose(new_center, [0.0, 0.0, 0.0]): @@ -341,119 +349,6 @@ def transform_points( return translated_point_matrix.T -# def rectangular_grid( -# center=(0.0, 0.0, 0.0), -# b=1.0, -# d=1.0, -# normal=(0.0, 0.0, 1.0), -# rows=1, -# cols=1, -# color: str = "#aaa", -# ) -> go.Mesh3d: -# """ -# Returns a grid like: -# ... ... ... -# | . | . | . | -# | 3 | 4 | 5 | ... -# | 0 | 1 | 2 | ... - -# Where 0, 1, 2, 3, 4, ... etc. are the "indexes" of the grid -# rectangles. They are numbered from the bottom-left left-to-right, -# down-to-up until the bth rectangle which has an index of (m * n - 1) -# where m is rows and n is columns. - -# b: total width of grid -# d: total depth (height) of grid - -# color: str | dict[Callable, str] will color the rectangles either all -# one color (str) or conditionally color them based on whether the -# index value of each rectangle returns True in the dict callable key -# (the color in the value will be applied if True; the first matching -# condition applies). - -# """ -# # nodes -# center = np.array(center) -# normal = np.array(normal) - -# # Direction cosines -# x_dir = (1, 0, 0) -# y_dir = (0, 1, 0) -# z_dir = (0, 0, 1) -# assumed_normal = z_dir -# norm = np.linalg.norm(normal) -# cos_alpha = np.dot(x_dir, normal) / norm -# cos_beta = np.dot(y_dir, normal) / norm -# cos_gamma = np.dot(z_dir, normal) / norm - -# pitch_rot = np.array( -# [[cos_beta, 0, 1 - cos_beta], [0, 1, 0], [-1 - cos_beta, 0, cos_beta]] -# ) - -# yaw_rot = np.array( -# [[cos_gamma, -1 - cos_gamma, 0], [1 - cos_gamma, cos_gamma, 0], [0, 0, 1]] -# ) - - # # The projection of the normal on each plane - # xy_proj = np.array([normal[0], normal[1], 0]) - # yz_proj = np.array([0, normal[1], normal[2]]) - # xz_proj = np.array([normal[0], 0, normal[2]]) - - # xy_perp = np.array([-normal[1], normal[0], 0]) - # yz_perp = np.array([0, normal[2], -normal[1]]) - # xz_perp = np.array([normal[2], 0, -normal[0]]) - - # # Go "down" to the mid-point of the bottom edge of the rectangle - # bot_mid_point = ( - # center - # - ( - # yz_perp / np.linalg.norm(yz_perp) if np.sum(yz_perp) != 0 else np.zeros(3) - # + xz_perp / np.linalg.norm(xz_perp) if np.sum(xz_perp) != 0 else np.zeros(3) - # ) / 2**0.5 * d/2 - # ) - # # Then go "left" to the bottom-left corner of the rectangle for the "A" point - # A_point = bot_mid_point - (xy_perp / np.linalg.norm(xy_perp) if np.sum(xy_perp) != 0 else np.zeros(3)) * b/2 - - # # Go "up" to the mid-poitn of the top edge of the rectangle - # top_mid_point = ( - # center - # + ( - # yz_perp / np.linalg.norm(yz_perp) if np.sum(yz_perp) != 0 else np.zeros(3) - # + xz_perp / np.linalg.norm(xz_perp) if np.sum(xz_perp) != 0 else np.zeros(3) - # ) / 2**0.5 * d/2 - # ) - # print(bot_mid_point, top_mid_point) - # # Then go "right" to the top-right corner of the rectangle for the "B" point - # B_point = top_mid_point + (xy_perp / np.linalg.norm(xy_perp) if np.sum(xy_perp) != 0 else np.zeros(3)) * b/2 - # hypot_length = np.sqrt((b)**2 + (d)**2) - - # print(hypot_length) - # print(np.linalg.norm(B_point - A_point)) - - # Plane equation - "normal[0] * x + normal[1] * y + normal[2] * z = np.dot(center, normal)" - - # Distance from center to "min" point - "sqrt((b/2 - center[0])**2 + (d/2 - center[1])**2 + (0 - center[2])**2)" - - # A is "min" point, B is "max" point - "tan(alpha) = d / b" - - # Assumption, the bottom edge of the rect will be parallel with the xy plane - # Therefore vector of the bottom edge 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