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Create app.py
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app.py
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| 1 |
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import streamlit as st
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from streamlit_drawable_canvas import st_canvas
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import networkx as nx
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import matplotlib.pyplot as plt
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from PyNite import FEModel3D
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import numpy as np
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def draw_truss_app():
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st.title("Truss Drawing & Analysis App")
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# Create a drawing canvas
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canvas_result = st_canvas(
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fill_color="rgba(255, 165, 0, 0.3)",
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stroke_width=2,
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stroke_color="#000000",
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background_color="#FFFFFF",
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height=400,
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width=600,
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drawing_mode="freedraw",
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key="canvas",
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)
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if st.button("Analyze Truss"):
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if canvas_result.json_data is not None:
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edges = process_canvas_data(canvas_result.json_data)
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G = create_graph(edges)
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plot_graph(G)
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analyze_truss(G)
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else:
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st.error("Please draw a truss before analyzing!")
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def process_canvas_data(json_data):
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edges = []
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for obj in json_data["objects"]:
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if "path" in obj:
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path = obj["path"]
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for i in range(len(path) - 1):
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x1, y1 = path[i]
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x2, y2 = path[i + 1]
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edges.append(((x1, y1), (x2, y2)))
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return edges
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def create_graph(edges):
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G = nx.Graph()
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for (x1, y1), (x2, y2) in edges:
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G.add_edge((x1, y1), (x2, y2))
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return G
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def plot_graph(G):
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plt.figure(figsize=(6, 4))
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for edge in G.edges():
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x_values, y_values = zip(*edge)
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plt.plot(x_values, y_values, 'r-', linewidth=2)
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plt.gca().invert_yaxis()
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plt.show()
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st.pyplot(plt)
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def analyze_truss(G):
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model = FEModel3D()
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for node in G.nodes():
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x, y = node
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model.add_node(str(node), x/100, y/100, 0)
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for edge in G.edges():
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n1, n2 = edge
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model.add_member(str(edge), str(n1), str(n2), "Steel", 0.01, 0.01)
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model.analyze()
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st.write("### Analysis Results:")
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for node in model.Nodes:
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st.write(f"Node {node}: DX = {model.Nodes[node].DX}, DY = {model.Nodes[node].DY}")
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if __name__ == "__main__":
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draw_truss_app()
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