Add BeliefVisualizer for belief evolution visualization and seaborn dependency

[leonvanbokhorst]

• Add seaborn to requirements.txt to include it as a dependency
• Implement BeliefVisualizer class in belief_visualizer.py to create multi-panel visualizations of belief evolution
• Update bayes_updating.py to import BeliefVisualizer and use it to plot belief evolution for a given topic

Summary by Sourcery

Introduce a new BeliefVisualizer class for visualizing belief evolution and update the Bayesian belief updating process to include visualization capabilities. Add seaborn as a dependency to support these visualizations.

New Features:

• Implement the BeliefVisualizer class to create multi-panel visualizations of belief evolution.

Enhancements:

• Update bayes_updating.py to integrate the BeliefVisualizer for plotting belief evolution.

Build:

• Add seaborn to requirements.txt as a new dependency for visualization purposes.

[sourcery-ai]

Reviewer's Guide by Sourcery

This PR implements a Bayesian belief updating system with visualization capabilities. The implementation includes a new BeliefVisualizer class for creating multi-panel visualizations of belief evolution over time, and updates to the Bayesian updating system to integrate with this visualization component. The system uses seaborn for enhanced plotting capabilities.

Sequence diagram for belief updating and visualization

sequenceDiagram
    actor User
    participant BayesianBeliefUpdater
    participant BeliefVisualizer
    User->>BayesianBeliefUpdater: initialize_belief_state(topic)
    BayesianBeliefUpdater->>BayesianBeliefUpdater: generate_embedding(topic)
    BayesianBeliefUpdater->>BayesianBeliefUpdater: create BeliefState
    User->>BayesianBeliefUpdater: update_belief(topic, new_evidence)
    BayesianBeliefUpdater->>BayesianBeliefUpdater: generate_embedding(new_evidence)
    BayesianBeliefUpdater->>BayesianBeliefUpdater: calculate likelihood
    BayesianBeliefUpdater->>BayesianBeliefUpdater: update belief vector
    User->>BayesianBeliefUpdater: analyze_belief_shift(topic)
    BayesianBeliefUpdater->>User: return analysis
    User->>BeliefVisualizer: plot_belief_evolution(analysis, evidence_list, topic)
    BeliefVisualizer->>BeliefVisualizer: create visualization

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Class diagram for Bayesian belief updating system

classDiagram
    class BeliefState {
        np.ndarray belief_vector
        float confidence
        List~Tuple~np.ndarray, float~~ prior_states
        List~str~ themes
    }

    class BayesianBeliefUpdater {
        -LanguageModel llm
        -Dict~str, BeliefState~ belief_states
        -Dict theme_weights
        -Logger logger
        +initialize_belief_state(topic: str) BeliefState
        +update_belief(topic: str, new_evidence: str) BeliefState
        +analyze_belief_shift(topic: str) Dict
    }

    class BeliefVisualizer {
        -Path output_dir
        +plot_belief_evolution(analysis: Dict, evidence_list: List~str~, topic: str)
    }

    BayesianBeliefUpdater --> BeliefState
    BayesianBeliefUpdater --> BeliefVisualizer

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File-Level Changes

Change	Details	Files
Implementation of Bayesian belief updating system with vector embeddings	Created BeliefState dataclass to store belief vectors, confidence, and history Implemented BayesianBeliefUpdater class with initialization and update methods Added Bayesian update algorithm using cosine similarity and confidence updating Implemented belief shift analysis functionality Added demonstration code in main() function	src/bayes_updating.py
Creation of visualization system for belief evolution	Implemented BeliefVisualizer class with configurable output directory Added multi-panel visualization with belief shifts and confidence changes Created clean, modern plotting style configuration Added evidence annotation system for tracking belief changes Implemented high-DPI figure export functionality	src/belief_visualizer.py
Added visualization dependency	Added seaborn package to requirements.txt	requirements.txt

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[sourcery-ai]

Hey @leonvanbokhorst - I've reviewed your changes - here's some feedback:

Overall Comments:

• Consider adding error handling for file operations in BeliefVisualizer, particularly around directory creation and file saving. This would prevent silent failures due to permission issues.

Here's what I looked at during the review

• 🟡 General issues: 2 issues found
• 🟢 Security: all looks good
• 🟢 Testing: all looks good
• 🟡 Complexity: 1 issue found
• 🟢 Documentation: all looks good

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