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fix(backend): buggy reply_time_by_emotion metric

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This metric was never stastically significant and held no real value. It also so happened to hold accidental NaN values in the dataframe which broke the frontend.

Happy to remove.
This commit is contained in:
Dylan De Faoite
2026-03-04 18:37:11 +00:00
parent f9bc9cf9c9
commit 3fe08b9c67
1 changed files with 1 additions and 4 deletions
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5
server/analysis/stat_gen.py
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@@ -96,10 +96,7 @@ class StatGen:
"common_three_phrases": self.linguistic_analysis.ngrams(filtered_df, n=3), "common_three_phrases": self.linguistic_analysis.ngrams(filtered_df, n=3),
"average_emotion_by_topic": self.emotional_analysis.avg_emotion_by_topic( "average_emotion_by_topic": self.emotional_analysis.avg_emotion_by_topic(
filtered_df filtered_df
), )
"reply_time_by_emotion": self.temporal_analysis.avg_reply_time_per_emotion(
filtered_df
),
} }
def get_user_analysis(self, df: pd.DataFrame, filters: dict | None = None) -> dict: def get_user_analysis(self, df: pd.DataFrame, filters: dict | None = None) -> dict: