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feat: extra columns in summary endpoint

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Dylan De Faoite
2026-01-31 16:26:58 +00:00
parent 2789bbeb14
commit 70cd4393a5
1 changed files with 12 additions and 4 deletions
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16
server/stat_gen.py
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@@ -99,15 +99,23 @@ class StatGen:
self.df = self.original_df.copy(deep=True) self.df = self.original_df.copy(deep=True)
def get_summary(self) -> dict: def get_summary(self) -> dict:
total_posts = (self.df["type"] == "post").sum()
total_comments = (self.df["type"] == "comment").sum()
events_per_user = self.df.groupby("author").size()
return { return {
"total_events": int(len(self.df)), "total_events": int(len(self.df)),
"total_posts": int((self.df["type"] == "post").sum()), "total_posts": int(total_posts),
"total_comments": int((self.df["type"] == "comment").sum()), "total_comments": int(total_comments),
"unique_users": int(self.df["author"].nunique()), "unique_users": int(events_per_user.count()),
"comments_per_post": round(total_comments / max(total_posts, 1), 2),
"lurker_ratio": round((events_per_user == 1).mean(), 2),
"time_range": { "time_range": {
"start": int(self.df["dt"].min().timestamp()), "start": int(self.df["dt"].min().timestamp()),
"end": int(self.df["dt"].max().timestamp()) "end": int(self.df["dt"].max().timestamp())
} },
"sources": self.df["source"].unique().tolist()
} }