fixing pyporject for streamlit cloud deployment

Submission ready

Submission ready

Revert "Submission ready"

Submission ready

Submission ready

Submission ready

Submission ready

fix: Call uv directly instead of as Python module in dashboard

fix: Correct ParameterLoader method calls in data_loader.py

feat: Add interactive setup controls to dashboard UI

feat: Add interactive multi-page dashboard with EDA, Ripeness, and RL visualization

docs: Update documentation for unified CLI structure and gap fixes

refactor: Restructure project with unified CLI and fix RL training gaps

chore: Major cleanup - remove redundant docs and emoticons

chore: Cleanup old test runs and duplicate EDA figures

fix: Add required parameters to Override initialization in _get_preference_overrides

fix: Convert date to datetime for Override timestamp parameter

fix: Update train_agent and evaluate_agent calls to use new config-based signatures

fix: Remove leftover merge conflict marker in rl/training.py

Merge PR #7: Add output metadata tracking for EDA, training, and simulation

docs: Remove temporary analysis documents

Merge PR #4: Align RL training with SchedulingAlgorithm constraints

Merge PR #5: Add shared reward helper for consistent RL metrics

Merge remote-tracking branch 'origin/codex/update-ripeness.py-for-unknown-state-handling' into feature/rl-scheduling-v2

Merge remote-tracking branch 'origin/codex/refactor-override-handling-in-algorithm.py' into feature/rl-scheduling-v2

Merge remote-tracking branch 'origin/codex/enhance-scheduler-config-for-baseline-params' into feature/rl-scheduling-v2

Merge remote-tracking branch 'origin/codex/analyze-codebase-critically' into feature/rl-scheduling-v2

docs: Critical analysis of 7 Codex PRs

Add auditing metadata to RL scheduler outputs

Add default scheduler params and auto-generate fallback

Add episode-level reward helper for RL training

Align RL training with scheduling algorithm constraints

Enforce readiness evidence and unknown ripeness handling

Refine override validation and cleanup

Expand comprehensive codebase analysis

docs: Update enhancement plan with OpenAI Codex review findings

docs: Add comprehensive enhancement plan for bug fixes

chore: Add pipeline run artifacts and outputs

fix: Add UTF-8 encoding to CSV writers for Windows compatibility

feat: Implement OutputManager for clean output directory structure

WIP

Add comprehensive interactive RL pipeline for hackathon submission

Add DuckDB file using Git LFS

Clean up redundant data files

Convert to DuckDB for efficient data storage and access

refactor

Add simplified RL exploration plan for hackathon

Merge dev/comprehensive-modeling into main - import full project

docs: Add comprehensive implementation documentation