refactor!: combine vocab and user info in API
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@@ -177,6 +177,11 @@ class StatGen:
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.sort_values(ascending=False)
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)
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top_users = [
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{"author": author, "source": source, "count": int(count)}
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for (author, source), count in counts.items()
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]
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per_user = (
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self.df.groupby(["author", "type"])
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.size()
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@@ -191,14 +196,29 @@ class StatGen:
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per_user["comment_post_ratio"] = per_user["comment"] / per_user["post"].replace(0, 1)
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per_user["comment_share"] = per_user["comment"] / (per_user["post"] + per_user["comment"]).replace(0, 1)
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per_user = per_user.sort_values("comment_post_ratio", ascending=True)
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per_user_records = per_user.reset_index().to_dict(orient="records")
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vocab_rows = self._vocab_richness_per_user()
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vocab_by_author = {row["author"]: row for row in vocab_rows}
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# merge vocab richness + per_user information
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merged_users = []
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for row in per_user_records:
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author = row["author"]
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merged_users.append({
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"author": author,
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"post": int(row.get("post", 0)),
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"comment": int(row.get("comment", 0)),
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"comment_post_ratio": float(row.get("comment_post_ratio", 0)),
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"comment_share": float(row.get("comment_share", 0)),
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"vocab": vocab_by_author.get(author)
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})
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merged_users.sort(key=lambda u: u["comment_post_ratio"])
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return {
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"top_users": [
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{"author": author, "source": source, "count": int(count)}
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for (author, source), count in counts.items()
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],
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"users": per_user.reset_index().to_dict(orient="records"),
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"vocab_per_user": self._vocab_richness_per_user()
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"top_users": top_users,
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"users": merged_users,
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}
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def search(self, search_query: str) -> dict:
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