Updating Examples and Docs inline with the new API. #2819
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WalkthroughThis update refactors several Mesa example applications to use the new Changes
Sequence Diagram(s)sequenceDiagram
participant Model
participant SpaceRenderer
participant AgentPortrayalStyle
participant SolaraViz
Model->>SpaceRenderer: Initialize with model and backend
SpaceRenderer->>AgentPortrayalStyle: Use for agent portrayal
SpaceRenderer->>SpaceRenderer: Render grid and agents
SpaceRenderer->>SolaraViz: Pass renderer as component
SolaraViz->>SpaceRenderer: Display visualization
Estimated code review effort3 (~45 minutes) Possibly related PRs
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Actionable comments posted: 1
🔭 Outside diff range comments (1)
mesa/examples/basic/schelling/app.py (1)
18-44: Fix invalid marker usage causing pipeline failure.The matplotlib backend doesn't support image file paths as markers. The pipeline failure confirms this: "ValueError caused by unrecognized marker style './resources/orange_happy.png'".
Replace image file paths with valid matplotlib markers:
def agent_portrayal(agent): style = AgentPortrayalStyle( x=agent.cell.coordinate[0], y=agent.cell.coordinate[1], - marker="./resources/orange_happy.png", + marker="o", # Use circle marker size=75, ) if agent.type == 0: if agent.happy: style.update( - ("marker", "./resources/blue_happy.png"), + ("marker", "s"), # Use square marker ) else: style.update( - ("marker", "./resources/blue_unhappy.png"), + ("marker", "^"), # Use triangle marker ("size", 50), ("zorder", 2), ) else: if not agent.happy: style.update( - ("marker", "./resources/orange_unhappy.png"), + ("marker", "v"), # Use inverted triangle marker ("size", 50), ("zorder", 2), ) return style
🧹 Nitpick comments (2)
mesa/examples/basic/schelling/app.py (1)
60-67: Update comments to reflect actual implementation.The comments mention "images as markers" but the code uses matplotlib marker symbols, not actual image files.
-# Note: Models with images as markers are very performance intensive. +# Note: The renderer provides a unified interface for drawing agents and grid structure. # Here we use renderer.render() to render the agents and grid in one go. # This function always renders the grid and then renders the agents or # property layers on top of it if specified. It also supports passing the # post_process function to fine-tune the plot after rendering in itself.mesa/examples/basic/boid_flockers/app.py (1)
20-34: Optimize marker application in style update.The marker caching approach is excellent for performance. However, line 33 redundantly reapplies the same marker that was already set.
if neighbors >= 2: - boid_style.update(("color", "green"), ("marker", MARKER_CACHE[rounded_deg])) + boid_style.update(("color", "green"))The marker is already set during initial style creation, so it doesn't need to be reapplied when only the color changes.
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📒 Files selected for processing (5)
mesa/examples/basic/boid_flockers/app.py(3 hunks)mesa/examples/basic/boltzmann_wealth_model/app.py(3 hunks)mesa/examples/basic/conways_game_of_life/app.py(3 hunks)mesa/examples/basic/schelling/app.py(2 hunks)mesa/examples/basic/virus_on_network/app.py(2 hunks)
🧠 Learnings (5)
📓 Common learnings
Learnt from: Sahil-Chhoker
PR: projectmesa/mesa#2803
File: mesa/visualization/backends/altair_backend.py:312-553
Timestamp: 2025-06-20T16:44:20.677Z
Learning: In mesa/visualization/backends/altair_backend.py, the author prefers to keep the draw_propertylayer method intact despite its complexity, as they believe breaking it into smaller functions would divert attention from the main logic flow. The method is well-documented and follows a clear sequence of operations for property layer rendering.
mesa/examples/basic/schelling/app.py (1)
Learnt from: Sahil-Chhoker
PR: #2803
File: mesa/visualization/backends/altair_backend.py:312-553
Timestamp: 2025-06-20T16:44:20.677Z
Learning: In mesa/visualization/backends/altair_backend.py, the author prefers to keep the draw_propertylayer method intact despite its complexity, as they believe breaking it into smaller functions would divert attention from the main logic flow. The method is well-documented and follows a clear sequence of operations for property layer rendering.
mesa/examples/basic/boltzmann_wealth_model/app.py (1)
Learnt from: Sahil-Chhoker
PR: #2803
File: mesa/visualization/backends/altair_backend.py:312-553
Timestamp: 2025-06-20T16:44:20.677Z
Learning: In mesa/visualization/backends/altair_backend.py, the author prefers to keep the draw_propertylayer method intact despite its complexity, as they believe breaking it into smaller functions would divert attention from the main logic flow. The method is well-documented and follows a clear sequence of operations for property layer rendering.
mesa/examples/basic/boid_flockers/app.py (1)
Learnt from: Sahil-Chhoker
PR: #2803
File: mesa/visualization/backends/altair_backend.py:312-553
Timestamp: 2025-06-20T16:44:20.677Z
Learning: In mesa/visualization/backends/altair_backend.py, the author prefers to keep the draw_propertylayer method intact despite its complexity, as they believe breaking it into smaller functions would divert attention from the main logic flow. The method is well-documented and follows a clear sequence of operations for property layer rendering.
mesa/examples/basic/virus_on_network/app.py (1)
Learnt from: Sahil-Chhoker
PR: #2803
File: mesa/visualization/backends/altair_backend.py:312-553
Timestamp: 2025-06-20T16:44:20.677Z
Learning: In mesa/visualization/backends/altair_backend.py, the author prefers to keep the draw_propertylayer method intact despite its complexity, as they believe breaking it into smaller functions would divert attention from the main logic flow. The method is well-documented and follows a clear sequence of operations for property layer rendering.
🧬 Code Graph Analysis (2)
mesa/examples/basic/conways_game_of_life/app.py (2)
mesa/visualization/space_renderer.py (1)
SpaceRenderer(44-394)mesa/visualization/components/portrayal_components.py (1)
AgentPortrayalStyle(18-73)
mesa/examples/basic/boltzmann_wealth_model/app.py (2)
mesa/visualization/space_renderer.py (1)
SpaceRenderer(44-394)mesa/visualization/components/portrayal_components.py (1)
AgentPortrayalStyle(18-73)
🪛 GitHub Actions: build
mesa/examples/basic/schelling/app.py
[error] 67-67: Test failure in test_schelling_model: ValueError caused by unrecognized marker style './resources/orange_happy.png' in matplotlib scatter plot marker setting.
mesa/examples/basic/boltzmann_wealth_model/app.py
[error] 54-54: Test failure in test_boltzmann_model: ValueError due to invalid RGBA argument np.int64(1) in matplotlib color handling during agent rendering.
🧰 Additional context used
🧠 Learnings (5)
📓 Common learnings
Learnt from: Sahil-Chhoker
PR: projectmesa/mesa#2803
File: mesa/visualization/backends/altair_backend.py:312-553
Timestamp: 2025-06-20T16:44:20.677Z
Learning: In mesa/visualization/backends/altair_backend.py, the author prefers to keep the draw_propertylayer method intact despite its complexity, as they believe breaking it into smaller functions would divert attention from the main logic flow. The method is well-documented and follows a clear sequence of operations for property layer rendering.
mesa/examples/basic/schelling/app.py (1)
Learnt from: Sahil-Chhoker
PR: #2803
File: mesa/visualization/backends/altair_backend.py:312-553
Timestamp: 2025-06-20T16:44:20.677Z
Learning: In mesa/visualization/backends/altair_backend.py, the author prefers to keep the draw_propertylayer method intact despite its complexity, as they believe breaking it into smaller functions would divert attention from the main logic flow. The method is well-documented and follows a clear sequence of operations for property layer rendering.
mesa/examples/basic/boltzmann_wealth_model/app.py (1)
Learnt from: Sahil-Chhoker
PR: #2803
File: mesa/visualization/backends/altair_backend.py:312-553
Timestamp: 2025-06-20T16:44:20.677Z
Learning: In mesa/visualization/backends/altair_backend.py, the author prefers to keep the draw_propertylayer method intact despite its complexity, as they believe breaking it into smaller functions would divert attention from the main logic flow. The method is well-documented and follows a clear sequence of operations for property layer rendering.
mesa/examples/basic/boid_flockers/app.py (1)
Learnt from: Sahil-Chhoker
PR: #2803
File: mesa/visualization/backends/altair_backend.py:312-553
Timestamp: 2025-06-20T16:44:20.677Z
Learning: In mesa/visualization/backends/altair_backend.py, the author prefers to keep the draw_propertylayer method intact despite its complexity, as they believe breaking it into smaller functions would divert attention from the main logic flow. The method is well-documented and follows a clear sequence of operations for property layer rendering.
mesa/examples/basic/virus_on_network/app.py (1)
Learnt from: Sahil-Chhoker
PR: #2803
File: mesa/visualization/backends/altair_backend.py:312-553
Timestamp: 2025-06-20T16:44:20.677Z
Learning: In mesa/visualization/backends/altair_backend.py, the author prefers to keep the draw_propertylayer method intact despite its complexity, as they believe breaking it into smaller functions would divert attention from the main logic flow. The method is well-documented and follows a clear sequence of operations for property layer rendering.
🧬 Code Graph Analysis (2)
mesa/examples/basic/conways_game_of_life/app.py (2)
mesa/visualization/space_renderer.py (1)
SpaceRenderer(44-394)mesa/visualization/components/portrayal_components.py (1)
AgentPortrayalStyle(18-73)
mesa/examples/basic/boltzmann_wealth_model/app.py (2)
mesa/visualization/space_renderer.py (1)
SpaceRenderer(44-394)mesa/visualization/components/portrayal_components.py (1)
AgentPortrayalStyle(18-73)
🪛 GitHub Actions: build
mesa/examples/basic/schelling/app.py
[error] 67-67: Test failure in test_schelling_model: ValueError caused by unrecognized marker style './resources/orange_happy.png' in matplotlib scatter plot marker setting.
mesa/examples/basic/boltzmann_wealth_model/app.py
[error] 54-54: Test failure in test_boltzmann_model: ValueError due to invalid RGBA argument np.int64(1) in matplotlib color handling during agent rendering.
🔇 Additional comments (15)
mesa/examples/basic/schelling/app.py (2)
7-7: Import change looks good.The addition of
SpaceRendererimport aligns with the new visualization API.
71-79: SolaraViz configuration updated correctly.The direct usage of the renderer object instead of the old component approach is consistent with the new API.
mesa/examples/basic/conways_game_of_life/app.py (4)
4-6: Import changes align with new API.The replacement of old components with
SpaceRendererandAgentPortrayalStyleis consistent with the modernization effort.
9-14: Agent portrayal correctly implemented.The function properly returns
AgentPortrayalStylewith valid matplotlib markers and appropriate styling based on agent state.
58-66: Renderer setup is well-implemented.The explicit use of
draw_agents()followed bypost_processassignment provides clear control over the rendering pipeline. The detailed comments effectively explain the renderer's capabilities.
73-78: SolaraViz configuration follows new API correctly.The direct renderer usage aligns with the modernized visualization approach.
mesa/examples/basic/boltzmann_wealth_model/app.py (3)
5-5: Import changes support new visualization API.The addition of
SpaceRendererandAgentPortrayalStylealigns with the modernization effort across examples.Also applies to: 8-8
44-55: Renderer setup is well-documented and structured.The explicit rendering steps with colormap configuration provide clear control over the visualization pipeline. The comprehensive comments effectively explain the process.
70-76: SolaraViz configuration updated correctly.The combination of the renderer with additional plot components demonstrates proper usage of the new API.
mesa/examples/basic/virus_on_network/app.py (4)
13-13: Import changes support Altair backend usage.The imports align with the new visualization API and demonstrate cross-backend compatibility.
Also applies to: 16-16
19-25: Agent portrayal correctly updated for new API.The color scheme simplification and size increase improve readability while maintaining proper state-based visualization.
96-108: Post-processing function properly adapted for Altair.The chart styling and legend configuration demonstrate proper Altair usage for visualization enhancement.
111-131: Altair backend implementation is well-integrated.The consistent use of Altair across the renderer and plot components with matching color schemes demonstrates proper cross-component coordination.
mesa/examples/basic/boid_flockers/app.py (2)
9-10: Import changes align with new visualization API.The consolidated import and addition of
AgentPortrayalStylesupport the modernized rendering approach.
75-83: Renderer setup demonstrates concise API usage.The method chaining approach effectively combines renderer creation and rendering in a single line while maintaining readability.
Summary
Updating the examples and docs showcasing the usage of the new API.
Motive
Part of my GSoC commitment.
Implementation
Updated the examples to include the basic usage of renderer with comments explaining what the code is actually doing.
Additional Notes
@tpike3, I've updated basic examples showcasing basic functionalities of the renderer, please review them and tell me how can they be improved.
One functionality I've left out is passing the kwargs to
draw_structureto customize how the grid is drawn, I couldn't find a good place to fit it in, in the basic examples, maybe you can suggest something.Summary by CodeRabbit
New Features
Bug Fixes
Documentation
Refactor