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Update app.py
Browse files
app.py
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@@ -285,7 +285,7 @@
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# if __name__ == "__main__":
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# iface.launch()
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import
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import os
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from mistralai.client import MistralClient
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from mistralai.models.chat_completion import ChatMessage
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@@ -298,6 +298,8 @@ if not api_key:
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model = "mistral-tiny"
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client = MistralClient(api_key=api_key)
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def generate_goals(input_var):
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messages = [
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ChatMessage(role="user", content=f"Generate 5 specific, industry relevant goals for {input_var} using Python and Pandas in exam data analysis. Each goal should include a brief name and a one-sentence description of the task or skill.")
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@@ -328,11 +330,9 @@ html_content = """
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<h1>Exam Data Analysis Goals Generator</h1>
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<div id="visualization"></div>
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<div id="generatedGoals"></div>
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<script>
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const goals = [
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{ id: 1, x: 100, y: 400, name: "Automate Data Import", description: "Develop scripts to automate exam data extraction from various sources (CSV, Excel, databases) using Pandas read_* functions." },
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{ id: 2, x: 200, y: 300, name: "Data Cleaning", description: "Implement robust data cleaning processes to handle missing values, outliers, and inconsistencies in exam data using Pandas methods like dropna(), fillna(), and apply()." },
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{ id: 3, x: 300, y: 200, name: "Data Transformation", description: "Utilize Pandas for complex data transformations such as pivoting exam results, melting question-wise scores, and creating derived features for analysis." },
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@@ -407,102 +407,119 @@ html_content = """
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{ source: 24, target: 17 },
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{ source: 26, target: 29 }
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];
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const svg = d3.select("#visualization")
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.append("svg")
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.attr("width", width)
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.attr("height", height);
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const simulation = d3.forceSimulation(goals)
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.force("link", d3.forceLink(connections).id(d => d.id))
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.force("charge", d3.forceManyBody().strength(-400))
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.force("center", d3.forceCenter(width / 2, height / 2));
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const link = svg.append("g")
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.selectAll("line")
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.data(connections)
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.enter().append("line")
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.attr("stroke", "#999")
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.attr("stroke-opacity", 0.6);
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const node = svg.append("g")
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.selectAll("circle")
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.data(goals)
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.enter().append("circle")
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.attr("r", 10)
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.attr("fill", d => d.color)
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.call(d3.drag()
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.on("start", dragstarted)
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.on("drag", dragged)
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.on("end", dragended));
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const text = svg.append("g")
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.selectAll("text")
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.data(goals)
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.enter().append("text")
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.text(d => d.name)
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.attr("font-size", "12px")
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.attr("dx", 12)
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.attr("dy", 4);
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node.on("click", async function(event, d) {
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const response = await fetch('generate_goals', {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({ input_var: d.name })
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});
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const data = await response.json();
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document.getElementById("generatedGoals").innerHTML = `<h2>Generated Goals for ${d.name}</h2><pre>${data}</pre>`;
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});
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function dragended(event) {
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if (!event.active) simulation.alphaTarget(0);
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event.subject.fx = null;
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event.subject.fy = null;
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}
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</script>
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</body>
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</html>
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"""
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)
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if __name__ == "__main__":
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-
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# if __name__ == "__main__":
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# iface.launch()
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from flask import Flask, request, jsonify, render_template_string
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import os
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from mistralai.client import MistralClient
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from mistralai.models.chat_completion import ChatMessage
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model = "mistral-tiny"
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client = MistralClient(api_key=api_key)
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app = Flask(__name__)
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def generate_goals(input_var):
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messages = [
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ChatMessage(role="user", content=f"Generate 5 specific, industry relevant goals for {input_var} using Python and Pandas in exam data analysis. Each goal should include a brief name and a one-sentence description of the task or skill.")
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<h1>Exam Data Analysis Goals Generator</h1>
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<div id="visualization"></div>
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<div id="generatedGoals"></div>
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<script>
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// Define the goals and connections data
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const goals = [
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{ id: 1, x: 100, y: 400, name: "Automate Data Import", description: "Develop scripts to automate exam data extraction from various sources (CSV, Excel, databases) using Pandas read_* functions." },
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{ id: 2, x: 200, y: 300, name: "Data Cleaning", description: "Implement robust data cleaning processes to handle missing values, outliers, and inconsistencies in exam data using Pandas methods like dropna(), fillna(), and apply()." },
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{ id: 3, x: 300, y: 200, name: "Data Transformation", description: "Utilize Pandas for complex data transformations such as pivoting exam results, melting question-wise scores, and creating derived features for analysis." },
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{ source: 24, target: 17 },
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{ source: 26, target: 29 }
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];
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// Create the SVG container for the goals and connections
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const svg = d3.select("#goalSpace")
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.append("svg")
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.attr("width", width)
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.attr("height", height);
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// Draw connections between goals
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const links = svg.selectAll("line")
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.data(connections)
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.enter()
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.append("line")
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.attr("x1", d => goals.find(g => g.id === d.source).x)
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.attr("y1", d => goals.find(g => g.id === d.source).y)
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.attr("x2", d => goals.find(g => g.id === d.target).x)
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.attr("y2", d => goals.find(g => g.id === d.target).y)
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.attr("stroke", "#999")
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.attr("stroke-width", 1)
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.attr("stroke-opacity", 0.6);
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// Draw goal nodes
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const goalNodes = svg.selectAll("circle")
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.data(goals)
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.enter()
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.append("circle")
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.attr("cx", d => d.x)
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.attr("cy", d => d.y)
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.attr("r", 10)
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.attr("fill", d => {
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if (d.id <= 10) return "blue";
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if (d.id <= 20) return "green";
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return "orange";
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})
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.attr("class", "goal");
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// Add labels to the goals
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const goalLabels = svg.selectAll("text")
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.data(goals)
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.enter()
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.append("text")
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.attr("x", d => d.x + 15)
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.attr("y", d => d.y)
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.text(d => d.name)
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.attr("font-size", "12px");
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// Hover info box
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const hoverInfo = d3.select("#hoverInfo");
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// Add hover effects on goal nodes
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goalNodes.on("mouseover", function(event, d) {
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d3.select(this).attr("r", 15);
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hoverInfo.style("display", "block")
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.style("left", (event.pageX + 10) + "px")
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.style("top", (event.pageY - 10) + "px")
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.html(`<strong>${d.name}</strong><br>${d.description}`);
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}).on("mouseout", function() {
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d3.select(this).attr("r", 10);
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hoverInfo.style("display", "none");
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});
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node.on("click", async function(event, d) {
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const response = await fetch('/generate_goals', {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({ input_var: d.name })
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});
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const data = await response.json();
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document.getElementById("generatedGoals").innerHTML = `<h2>Generated Goals for ${d.name}</h2><pre>${data.goals}</pre>`;
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});
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// Function to update selected goal information
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function updateSelectedGoalInfo(goal) {
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const selectedGoalDiv = d3.select("#selectedGoal");
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selectedGoalDiv.html(`
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<h3>${goal.name}</h3>
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<p>${goal.description}</p>
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`);
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}
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// Function to display the response from the server
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function displayResponse(content) {
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const responseBox = d3.select("#responseBox");
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responseBox.html(`
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<h2>Response</h2>
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<p>${content}</p>
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`);
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}
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// Handle mouse move event to highlight the closest goal
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svg.on("mousemove", function(event) {
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const [x, y] = d3.pointer(event);
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const closest = findClosestGoal(x, y);
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highlightClosestGoal(closest);
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});
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// Function to find the closest goal to the mouse pointer
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function findClosestGoal(x, y) {
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return goals.reduce((closest, goal) => {
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const distance = Math.sqrt(Math.pow(goal.x - x, 2) + Math.pow(goal.y - y, 2));
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return distance < closest.distance ? { goal, distance } : closest;
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}, { goal: null, distance: Infinity }).goal;
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}
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// Function to highlight the closest goal
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function highlightClosestGoal(goal) {
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d3.select("#info").html(`Closest goal: ${goal.name}`);
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}
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</script>
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</body>
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</html>
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"""
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@app.route('/')
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def index():
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return render_template_string(html_content)
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@app.route('/generate_goals', methods=['POST'])
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def generate_goals_api():
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input_var = request.json['input_var']
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goals = generate_goals(input_var)
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return jsonify({'goals': goals})
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if __name__ == "__main__":
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app.run(debug=True)
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