$j| dZddlmZddlmZmZddeeededeefd Zd ee e efd ee dee e effd Z d S)z? Helper functions for hybrid search (semantic + BM25 + graph). )Any)MergedCandidateRetrievalResult< result_listskreturnc 4i}i}i}gd}t|D] \}}|t|kr||nd|}t|dD]\} } t| tr6t d|d| dt| dkr | d dn| d t| t s*t d t | jd |d| | j} | |vr| || <| |vr d || <i|| <|| xxd|| zz z cc<| || |d<Ґ g} tt| dddD]<\} \} }t|| || || }| |=| S)a Merge multiple ranked result lists using Reciprocal Rank Fusion. RRF formula: score(d) = sum_over_lists(1 / (k + rank(d))) Args: result_lists: List of result lists, each containing RetrievalResult objects k: Constant for RRF formula (default: 60) Returns: Merged list of MergedCandidate objects, sorted by RRF score Example: semantic_results = [RetrievalResult(...), RetrievalResult(...), ...] bm25_results = [RetrievalResult(...), RetrievalResult(...), ...] graph_results = [RetrievalResult(...), RetrievalResult(...), ...] merged = reciprocal_rank_fusion([semantic_results, bm25_results, graph_results]) # Returns: [MergedCandidate(...), MergedCandidate(...), ...] )semanticbm25graphtemporalsource_r)startz*Expected RetrievalResult but got tuple in z results at rank z. Tuple value: NzZ. This suggests the retrieval function returned tuples instead of RetrievalResult objects.z!Expected RetrievalResult but got z in g?_rankc|dS)Nr)xs j/home/rurouni/.hermes/hermes-agent/venv/lib/python3.11/site-packages/hindsight_api/engine/search/fusion.pyz(reciprocal_rank_fusion..Fs 1T)keyreverse) retrieval rrf_scorerrf_rank source_ranks) enumeratelen isinstancetuple TypeErrorrtype__name__idsorteditemsrappend)rr rrf_scoresr all_retrievals source_names source_idxresults source_namerankrdoc_idmerged_resultsrrmerged_candidates rreciprocal_rank_fusionr6 sl,JLN<<L K!6!6!6 7 71 ?6N)2z!!~~tDDDA***00%%69+$V, Hcopvcw    .//// rr0 score_keysc|D]kfd|D}|st|}t|}||z }|dkr|D]}|vr||z |z |d<Z|D]}|vrd|d<l|S)aw Normalize scores based on deltas (min-max normalization within result set). This ensures all scores are in [0, 1] range based on the spread in THIS result set. Args: results: List of result dicts score_keys: Keys to normalize (e.g., ["recency", "frequency"]) Returns: Results with normalized scores added as "{key}_normalized" cDg|]}|v|dS)r)get).0rrs r z.normalize_scores_on_deltas..^s*???acQhh!%%S//hhhrr _normalizedg?)minmax)r0r7valuesmin_valmax_valdeltar<rs @rnormalize_scores_on_deltasrEPs11????7???  f++f++'! 199 H H!88./fw.>%-GA)))* H  1 1!88-0A)))* 1 NrN)r) __doc__typingrtypesrrlistintr6dictstrrErrrrMs33333333CCd?.C)DCCVZ[jVkCCCCL!T#s(^(<!$s)!X\]abegjbj]kXl!!!!!!r