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Re-implements return first option
Since we get all the results quickly now, this aggregates all the results that came back and sorts them by confidence, and returns the highest confidence result. The confidences aren't great on free text search, but conceptually that's how it should work at least. It may make sense to aggregate the search results in all contexts, but I'll propose that in a separate PR.
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2 changed files with 7 additions and 4 deletions
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@ -148,8 +148,8 @@ class SearchResult:
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def __repr__(self):
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# pylint: disable=consider-using-f-string
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return "<SearchResult key={!r} title={!r} author={!r}>".format(
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self.key, self.title, self.author
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return "<SearchResult key={!r} title={!r} author={!r} confidence={!r}>".format(
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self.key, self.title, self.author, self.confidence
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)
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def json(self):
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@ -91,13 +91,16 @@ def search(query, min_confidence=0.1, return_first=False):
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# load as many results as we can
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results = asyncio.run(async_connector_search(query, items, min_confidence))
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results = [r for r in results if r]
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if return_first:
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# find the best result from all the responses and return that
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raise Exception("Not implemented yet") # TODO
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all_results = [r for con in results for r in con["results"]]
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all_results = sorted(all_results, key=lambda r: r.confidence, reverse=True)
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return all_results[0]
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# failed requests will return None, so filter those out
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return [r for r in results if r]
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return results
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def first_search_result(query, min_confidence=0.1):
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