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style: run python linter & prettifier on backend code

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Dylan De Faoite
2026-03-25 19:34:43 +00:00
parent aae10c4d9d
commit 376773a0cc
17 changed files with 408 additions and 315 deletions
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15
server/analysis/interactional.py
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@@ -1,6 +1,7 @@
import pandas as pd
import re
class InteractionAnalysis:
def __init__(self, word_exclusions: set[str]):
self.word_exclusions = word_exclusions
@@ -51,7 +52,7 @@ class InteractionAnalysis:
return 0
return round(sum(depths) / len(depths), 2)
def top_interaction_pairs(self, df: pd.DataFrame, top_n=10):
graph = self.interaction_graph(df)
pairs = []
@@ -62,7 +63,7 @@ class InteractionAnalysis:
pairs.sort(key=lambda x: x[1], reverse=True)
return pairs[:top_n]
def conversation_concentration(self, df: pd.DataFrame) -> dict:
if "type" not in df.columns:
return {}
@@ -76,12 +77,16 @@ class InteractionAnalysis:
total_authors = len(author_counts)
top_10_pct_n = max(1, int(total_authors * 0.1))
top_10_pct_share = round(author_counts.head(top_10_pct_n).sum() / total_comments, 4)
top_10_pct_share = round(
author_counts.head(top_10_pct_n).sum() / total_comments, 4
)
return {
"total_commenting_authors": total_authors,
"top_10pct_author_count": top_10_pct_n,
"top_10pct_comment_share": float(top_10_pct_share),
"single_comment_authors": int((author_counts == 1).sum()),
"single_comment_author_ratio": float(round((author_counts == 1).sum() / total_authors, 4)),
}
"single_comment_author_ratio": float(
round((author_counts == 1).sum() / total_authors, 4)
),
}