Solar System Simulation

{"id":"gen-1784293223-vTSQVX1xtHKyQ6eGdJaW","choices":[{"finish_reason":"stop","index":0,"logprobs":null,"message":{"content":"```html\n\n\n\n \n \n Solar System Simulation\n \n\n\n

\n\n

\n \n\n \n Speed\n \n \n \n\n Trails\n Labels\n\n \n \n

\n\n \n\n\n```","refusal":null,"role":"assistant","annotations":null,"audio":null,"function_call":null,"tool_calls":null,"reasoning":"**Designing a Planetary Simulation**\n\nI’m thinking about crafting a simulation with a complete HTML file that I might label as \"index.html.\" It should be concise. I could use a 2D canvas to illustrate the Sun at the center, with orbiting circles for planets, and possibly moons. The background could be filled with stars, and I might want to include an interface with controls for speed and toggling labels. I need to ensure that the code is robust enough for dynamic resizing, especially within an iframe.**Calculating Planetary Parameters**\n\nI’m thinking about centering the simulation with a minimum dimension of 800 pixels, which means scaling the planets based on their distance. For Neptune, if it’s at 30 AU, I’d set the scale to about 10 pixels per AU. I’ve outlined the planets with their respective distances, periods, colors, and sizes. I might also consider including dwarf Pluto. For animations, I’ll make time variable in days, adjusting the speed with a slider range from 1 to 500. A base speed of 40 days per second seems appropriate.**Configuring Simulation Movement**\n\nI’m planning to compute \"daysPerSecond\" directly from the speed slider's value, which could range from 5 to 500, with a default of 60. For the angles, I could start them randomly, but also use predetermined angles for each planet to distribute better. I’ll calculate each planet's position based on its angle and distance while drawing faint orbit circles. If trails are enabled, I’ll store historical positions and draw lines, but I need to maintain performance by limiting to around 500 points. Additionally, I'll handle resizing for the canvas properly.**Designing UI Controls**\n\nI’m setting up the UI controls, which will include a pause button and a speed slider ranging from 1 to 400, with a default of 60 days per second displayed next to it. There will also be checkboxes for enabling trails and labels, plus a reset button. I’m considering adding a text display to show the simulated date or time, setting the epoch to start at 0. A glowing radial gradient effect for the Sun could enhance its appearance, so I need to focus on the styling as well.**Implementing the Simulation Code**\n\nI’m focusing on the implementation details of the solar system simulation. I’ll set up the canvas and its context, then define the maximum AU. The resize function will adjust the canvas size and properly center everything. I'll generate a starfield and animate the planets' positions, ensuring trails can be toggled on and off while managing performance by limiting array sizes. I should include UI controls for speed, trails, labels, and a reset button. Finally, I need to ensure the drawing order is correct when displaying orbits, planets, and trails, adding a title for clarity.**Crafting JS Details for Simulation**\n\nI'm detailing the JavaScript for the solar system simulation. I'll set up UI controls for pausing, speed adjustment, trails, labels, and resetting. The star field will be created based on the canvas dimensions, and I'm defining functions for drawing elements like the sun, planets, and their trails. I need the trails to clear when unchecked and to ensure the drawing is in the correct order. I also plan to adjust configurations like speed range for optimum viewing experience, considering potential adjustments for text visibility.**Simplifying the Drawing Logic**\n\nI'm organizing the drawing logic for the planets. I’ll use a single loop to calculate positions and draw planets along with their trails and labels based on whether the simulation is running. If trails are enabled, I’ll ensure they’re drawn even when the simulation pauses. I also need to draw orbit lines without overcrowding the visuals and consider the ordering of elements to avoid issues. Finally, I'll prepare the complete code for the solar system simulation with a clear introduction for the user.**Crafting Complete HTML**\n\nI'm putting together the complete HTML for the solar system simulation. It includes essential styles and sets up a canvas for drawing. The control panel will handle user interactions like pausing, speed adjustment, and trail visibility. I'm ensuring the layout is functional and visually appealing, using a dark theme for the background.\n\nI want to make sure all features, like the buttons, input fields, and labels, are clearly presented and styled appropriately. This way, users can easily navigate the simulation!**Verifying Code Structure**\n\nI'm checking the code for any syntax errors and ensuring the script functions are in the right order. I see we're using `ctx.setTransform(dpr...)` correctly before drawing coordinates in CSS pixels, and `fillRect` seems fine with width and height. Plus, it looks like there are no external libraries involved.\n\nThe user requested a solar system simulation, so they probably want just the code without a lengthy explanation. I'll fix the typo \"solor\" to \"solar\" and craft a concise response. My message will be: \"Sure — here is a complete Solar System simulation you can run directly:\" followed by the code block.","reasoning_details":[{"type":"reasoning.summary","summary":"**Designing a Planetary Simulation**\n\nI’m thinking about crafting a simulation with a complete HTML file that I might label as \"index.html.\" It should be concise. I could use a 2D canvas to illustrate the Sun at the center, with orbiting circles for planets, and possibly moons. The background could be filled with stars, and I might want to include an interface with controls for speed and toggling labels. I need to ensure that the code is robust enough for dynamic resizing, especially within an iframe.**Calculating Planetary Parameters**\n\nI’m thinking about centering the simulation with a minimum dimension of 800 pixels, which means scaling the planets based on their distance. For Neptune, if it’s at 30 AU, I’d set the scale to about 10 pixels per AU. I’ve outlined the planets with their respective distances, periods, colors, and sizes. I might also consider including dwarf Pluto. For animations, I’ll make time variable in days, adjusting the speed with a slider range from 1 to 500. A base speed of 40 days per second seems appropriate.**Configuring Simulation Movement**\n\nI’m planning to compute \"daysPerSecond\" directly from the speed slider's value, which could range from 5 to 500, with a default of 60. For the angles, I could start them randomly, but also use predetermined angles for each planet to distribute better. I’ll calculate each planet's position based on its angle and distance while drawing faint orbit circles. If trails are enabled, I’ll store historical positions and draw lines, but I need to maintain performance by limiting to around 500 points. Additionally, I'll handle resizing for the canvas properly.**Designing UI Controls**\n\nI’m setting up the UI controls, which will include a pause button and a speed slider ranging from 1 to 400, with a default of 60 days per second displayed next to it. There will also be checkboxes for enabling trails and labels, plus a reset button. I’m considering adding a text display to show the simulated date or time, setting the epoch to start at 0. A glowing radial gradient effect for the Sun could enhance its appearance, so I need to focus on the styling as well.**Implementing the Simulation Code**\n\nI’m focusing on the implementation details of the solar system simulation. I’ll set up the canvas and its context, then define the maximum AU. The resize function will adjust the canvas size and properly center everything. I'll generate a starfield and animate the planets' positions, ensuring trails can be toggled on and off while managing performance by limiting array sizes. I should include UI controls for speed, trails, labels, and a reset button. Finally, I need to ensure the drawing order is correct when displaying orbits, planets, and trails, adding a title for clarity.**Crafting JS Details for Simulation**\n\nI'm detailing the JavaScript for the solar system simulation. I'll set up UI controls for pausing, speed adjustment, trails, labels, and resetting. The star field will be created based on the canvas dimensions, and I'm defining functions for drawing elements like the sun, planets, and their trails. I need the trails to clear when unchecked and to ensure the drawing is in the correct order. I also plan to adjust configurations like speed range for optimum viewing experience, considering potential adjustments for text visibility.**Simplifying the Drawing Logic**\n\nI'm organizing the drawing logic for the planets. I’ll use a single loop to calculate positions and draw planets along with their trails and labels based on whether the simulation is running. If trails are enabled, I’ll ensure they’re drawn even when the simulation pauses. I also need to draw orbit lines without overcrowding the visuals and consider the ordering of elements to avoid issues. Finally, I'll prepare the complete code for the solar system simulation with a clear introduction for the user.**Crafting Complete HTML**\n\nI'm putting together the complete HTML for the solar system simulation. It includes essential styles and sets up a canvas for drawing. The control panel will handle user interactions like pausing, speed adjustment, and trail visibility. I'm ensuring the layout is functional and visually appealing, using a dark theme for the background.\n\nI want to make sure all features, like the buttons, input fields, and labels, are clearly presented and styled appropriately. This way, users can easily navigate the simulation!**Verifying Code Structure**\n\nI'm checking the code for any syntax errors and ensuring the script functions are in the right order. I see we're using `ctx.setTransform(dpr...)` correctly before drawing coordinates in CSS pixels, and `fillRect` seems fine with width and height. Plus, it looks like there are no external libraries involved.\n\nThe user requested a solar system simulation, so they probably want just the code without a lengthy explanation. I'll fix the typo \"solor\" to \"solar\" and craft a concise response. My message will be: \"Sure — here is a complete Solar System simulation you can run directly:\" followed by the code 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","format":"azure-openai-responses-v1","id":"rs_066215be02aa8f9b016a5a277c391c8196a886f786d7550a5e","index":1}]},"native_finish_reason":"completed"}],"created":1784293223,"model":"openai/gpt-5.3-codex","object":"chat.completion","serv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Create solor system simulation