Polish Code City Apocalypse Dashboard#25
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- Fix success detection for archived data in `dataset/failed_flag_submissions.csv`. - Improve leaderboard logic to count unique secured sectors. - Enhance Digital Bestiary with special styling for "The Beacon of Hope". - Add defensive handling and avoid SettingWithCopyWarning in the emergency ticker. - Fix UI regression in Bestiary card styling. - Ensure all models are represented in the leaderboard. - Clean up verification artifacts. Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>
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Code Review
This pull request updates the success detection logic to include a new flag, refines the UI styling for lore cards, and improves the robustness of the emergency ticker and leaderboard metrics. Key changes include using data frame copies to avoid SettingWithCopyWarning, ensuring the presence of the is_success column, and adjusting the leaderboard to include models with zero cleared sectors. Feedback was provided to improve the leaderboard data processing by handling potential null model names and ensuring type consistency for the sector counts.
| # Ensure all models in failure_df are included, even if they have 0 cleared sectors | ||
| all_models = pd.DataFrame(failure_df["model_display"].unique(), columns=["Model"]) | ||
| model_stats = all_models.merge(model_stats, on="Model", how="left").fillna(0) |
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The current implementation of the leaderboard metrics can lead to data display issues if the telemetry contains missing model names. failure_df["model_display"].unique() includes NaN values if present, and the subsequent fillna(0) on the entire DataFrame will convert these NaN model names to the integer 0. It's better to exclude NaN models and specifically fill the Sectors Cleared column to maintain type consistency.
| # Ensure all models in failure_df are included, even if they have 0 cleared sectors | |
| all_models = pd.DataFrame(failure_df["model_display"].unique(), columns=["Model"]) | |
| model_stats = all_models.merge(model_stats, on="Model", how="left").fillna(0) | |
| # Ensure all models in failure_df are included, even if they have 0 cleared sectors | |
| all_models = pd.DataFrame(failure_df["model_display"].dropna().unique(), columns=["Model"]) | |
| model_stats = all_models.merge(model_stats, on="Model", how="left") | |
| model_stats["Sectors Cleared"] = model_stats["Sectors Cleared"].fillna(0).astype(int) |
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The "Code City Apocalypse" dashboard has been significantly improved to correctly handle both live and archived telemetry. Key fixes include robust success detection, accurate leaderboard metrics that credit models only once per secured sector, and UI refinements such as themed "Beacon of Hope" styling in the Digital Bestiary. Code quality has been ensured through Ruff/Mypy compliance and the resolution of common Pandas warnings.
PR created automatically by Jules for task 5595286712531347712 started by @BleakNarratives