Source code for gnes.router.reduce.chunk

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from collections import defaultdict
from typing import List

from ..base import BaseReduceRouter
from ...proto import gnes_pb2


[docs]class ChunkToDocRouter(BaseReduceRouter):
[docs] def apply(self, msg: 'gnes_pb2.Message', accum_msgs: List['gnes_pb2.Message'], *args, **kwargs): all_chunks = [r for m in accum_msgs for r in m.response.search.topk_results] doc_score = defaultdict(float) doc_score_explained = defaultdict(str) # count score by iterating over chunks for c in all_chunks: doc_score[c.chunk.doc_id] += c.score doc_score_explained[c.chunk.doc_id] += '%s\n' % c.score_explained # now convert chunk results to doc results msg.response.search.level = gnes_pb2.Response.QueryResponse.DOCUMENT_NOT_FILLED msg.response.search.ClearField('topk_results') # sort and add docs for k, v in sorted(doc_score.items(), key=lambda kv: -kv[1]): r = msg.response.search.topk_results.add() r.doc.doc_id = k r.score = v r.score_explained = doc_score_explained[k] super().apply(msg, accum_msgs)