o tqpj'!@s ddlmZddlZddlZddlmZddlmZddlmZm Z ddl m Z m Z ddl mZmZdd lmZmZdd lmZmZmZdd lmZdd lmZdd lm Z ee!"j#dZ$dZ%d&ddZ&d'd(ddZ'd)dd Z(d)d!d"Z)d)d#d$Z*e+d%kre*dSdS)*) annotationsN)Path)ingest) build_promptgenerate)generate_cloud PROVIDERS)runsave)checkreport) TfidfIndex is_on_subjectEVIDENCE_TERMS)serve)build) export_webgffffff?indexrquestionstrreturn list[dict]csZdddD}tfdd|Dd}fdd|D}|r)|g|Sg|S)a The results the interface would actually present, in order. Scoring the raw top of the index would measure something no user sees: the interface keeps at most one plain-language answer, and only cites statute text that is on the subject asked about. cSsg|] }|ddkr|qS)scorer.0hitrr,/root/openrights-assistant/openrights/cli.py sz!shown_results..(c3@|]}|ddkr|dtkrt|djr|VqdSkindplainrtextNget ANSWER_FLOORridfrrrrr " z shown_results..Ncs2g|]}|ddkrt|djtr|qS)r#r$r%)r'rr)rrr*rrr+ssearchnext)rrhitsanswerevidencerr*r shown_resultss  r3top_kintmodel str | NoneproviderNonec Csttd}t||d|}|rtt|||dS|r,ttt|t||dS|s4tddS|d ddkrBtdntdt |dD]5\}}td |d |d d |d | drkt|dt| dpt|dtd|ddqKdS)Ndata/processed/index.jsonz/ Nothing in this archive covers that question. rr#r$zD No plain-language answer covers this yet. Closest text in the law: z3 Answer (verify the source and your jurisdiction): r[z] sourcez | score=rheadingbodyr%zSource: url ) rloadROOTr3printrrrrr' enumerate)rr4r6r8rresultsnumberresultrrrask4s* "  rHcsttd}ttdjdd}d}|D]/}|d}|dt||dd}tfd d |D}||7}t|r=d nd d |qt|dt |d|t |kr\t ddS)Nr:zevals/questions.jsonutf-8encodingrrexpected_sourcec3s<|]}|dvp|ddvVqdS)r<statuteN)lowerr')rrGexpectedrrr+as  zevaluate..PASSFAIL: /z cases passedr) rrArBjsonloads read_textr3anyrClen SystemExit)rcasespassedcaserrEokrrQrevaluateSs   rac sttdttdjdd}d fd d }d }|d }|D]4}||d}|p,id }||dk}|| 7}t|r@dndd|d|sUtd|pQdq!tt||dt|d|d}d } t|D]-} || }|du}| | 7} t|rdndd| |std|d d|ddqqtt|| dt|d| rt| d|rt ddS)!aCheck that questions reach the right answer, and that others reach none. `evaluate` asks whether the right source was retrieved. That passes even when the user is handed raw statute text, and it passes when a confident answer about wages is served to someone asking about rent. Both halves matter: an answer to the wrong question is worse than no answer, because it looks authoritative. r:zevals/coverage.jsonrIrJrrr dict | Nonecs&d}tfdd|DdS)Nc3r!r"r&)rrr*rrr+|r,z0coverage..best_answer..r-)rrEr)rr best_answerys  zcoverage..best_answerrcoveredr=expected_headingrSrTrUz got: z no answerrVz! questions reach the right answer not_coveredNWARNz answered anyway:  (r)z0 uncovered questions correctly decline to answerz. known false positive(s); see docs/COVERAGE.mdr)rrrrb) rrArBrWrXrYr'rCr[r\) r]rffailuresrgr_r1r=r`riwrongrrrercoveragems@        roc Cs2tjdd}|jddd}|d|d|d|d |d |d }|jd d dd|d|d}|jdtdd|d}|d|jdtdd|jddd|jdttdd|}|j dkr}t dt t d dS|j dkrt dS|j dkrtdS|j d krtt \}}t d!|d"|d#d$d%dS|j dkrtt \}}t d&|t d'|d#d$d(dS|j dkrtt |jdS|j d krtttt |jd)|j d krtt } tt | t tj| d*d+dS|j dkrt|j|j|jt |d,ddSdS)-N openrights)progcommandT)destrequiredrraroz export-web benchmark freshnessz--accept store_truezGRecord the current text as reviewed. Only after re-reading the answers.)actionhelpbundlerz--porti@)typedefaultrHrz--top-kz--modelz&Path to a GGUF model used by llama-cli)ryz --providerz!Cloud LLM provider (gemini, qwen))choicesryzIndexed z chunks.z Exported z chunks to app/data/index.js (iz.0fz KB).zWrote rkz0 KB). Open it in any browser, online or offline.)update)indentr8)!argparseArgumentParseradd_subparsers add_parser add_argumentr5listr parse_argsrrrCrrBraror build_bundle relative_torportr\report_freshnesscheck_freshnessaccept run_benchmarksave_benchmarkrWdumpsrHrr4r6getattr) parser subparsersfreshness_parser serve_parser ask_parserargschunkssizetargetrGrrrmainsZ                     &      r__main__)rrrrrr)N) rrr4r5r6r7r8r7rr9)rr9), __future__rrrWpathlibrr generatorrrcloud_generatorrr rur rr rrvr rr rragrrrrrzrrwebr__file__resolveparentsrBr(r3rHraror__name__rrrrs.           7/