Dataset_Recommender / ranking /result_builder.py
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Update ranking/result_builder.py
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def build_result_cards(ranked_datasets: list[dict], top_n: int = 5) -> list[dict]:
cards = []
for i, ds in enumerate(ranked_datasets[:top_n]):
card = {
"rank": i + 1,
"name": ds.get("name", "Unknown"),
"source": ds.get("source", "Unknown"),
"relevance_score": ds.get("relevance_score", 0),
"format": ds.get("format", "N/A"),
"license": ds.get("license", "N/A"),
"last_updated": ds.get("last_updated", "N/A"),
"suitability_notes": ds.get("suitability_notes", ""),
"url": ds.get("url", ""),
"active_constraints": ds.get("active_constraints", {})
}
cards.append(card)
return cards