feat: external precedent library with auto halacha extraction
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Build & Deploy / build-and-deploy (push) Successful in 1m27s
Adds a third corpus of legal authority distinct from style_corpus (Daphna's prior decisions for voice) and case_precedents (chair-attached quotes per case). The new corpus holds chair-uploaded court rulings and other appeals committee decisions, with binding rules (הלכות) extracted automatically and queued for chair approval. Pipeline (web/app.py + services/precedent_library.py): file → extract → chunk → Voyage embed → halacha_extractor → store + publish progress over the existing Redis SSE channel. Schema V7 (services/db.py): extends case_law with source_kind + extraction status fields under a CHECK constraint pinning practice_area to the three appeals committee domains (rishuy_uvniya, betterment_levy, compensation_197). New precedent_chunks (vector(1024)) and halachot tables (vector(1024) over rule_statement, IVFFlat indexes, gin on practice_areas/subject_tags). Halachot start as pending_review; only approved/published rows are visible to search_precedent_library. Agents: legal-writer, legal-researcher, legal-analyst, legal-ceo, legal-qa get search_precedent_library. legal-writer prompt explains the three-corpus distinction and CREAC use; legal-qa now verifies that every cited halacha resolves to an approved row in the corpus. UI: /precedents page with four tabs — library / semantic search / pending review (J/K nav, A/R/E shortcuts, badge count) / stats. Reuses the existing upload-sheet progress + SSE pattern. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
173
web-ui/src/components/precedents/library-search-panel.tsx
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173
web-ui/src/components/precedents/library-search-panel.tsx
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"use client";
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import { useState } from "react";
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import { Search } from "lucide-react";
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import { Input } from "@/components/ui/input";
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import { Badge } from "@/components/ui/badge";
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import { Button } from "@/components/ui/button";
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import { Skeleton } from "@/components/ui/skeleton";
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import {
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Select, SelectContent, SelectItem, SelectTrigger, SelectValue,
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} from "@/components/ui/select";
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import {
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useLibrarySearch, type PracticeArea, type SearchHit,
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} from "@/lib/api/precedent-library";
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import { PRACTICE_AREAS, PRECEDENT_LEVELS } from "./practice-area";
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function formatDate(iso: string | null) {
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if (!iso) return "—";
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try {
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return new Date(iso).toLocaleDateString("he-IL");
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} catch {
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return iso;
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}
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}
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function HalachaCard({ hit }: { hit: Extract<SearchHit, { type: "halacha" }> }) {
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return (
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<div className="rounded-lg border border-gold/40 bg-gold-wash/40 p-4 space-y-2">
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<div className="flex items-center gap-2 text-[0.78rem] text-ink-muted flex-wrap">
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<Badge className="bg-gold text-navy border-0">הלכה</Badge>
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<span className="font-mono" dir="ltr">{hit.case_number}</span>
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{hit.court && <span>· {hit.court}</span>}
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{hit.decision_date && <span>· {formatDate(hit.decision_date)}</span>}
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{hit.precedent_level && <span>· {hit.precedent_level}</span>}
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<span className="ms-auto tabular-nums">דירוג {hit.score.toFixed(2)}</span>
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</div>
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<p className="text-navy font-medium text-[0.95rem]" dir="rtl">
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{hit.rule_statement}
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</p>
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<blockquote className="text-ink-soft text-sm border-r-2 border-gold pr-3" dir="rtl">
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“{hit.supporting_quote}”
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{hit.page_reference && <span className="text-ink-muted text-[0.72rem] ms-2">({hit.page_reference})</span>}
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</blockquote>
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{hit.subject_tags?.length > 0 && (
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<div className="flex flex-wrap gap-1">
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{hit.subject_tags.map((t) => (
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<Badge key={t} variant="outline" className="text-[0.65rem] bg-surface">
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{t}
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</Badge>
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))}
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</div>
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)}
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</div>
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);
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}
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function PassageCard({ hit }: { hit: Extract<SearchHit, { type: "passage" }> }) {
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return (
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<div className="rounded-lg border border-rule bg-surface p-4 space-y-2">
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<div className="flex items-center gap-2 text-[0.78rem] text-ink-muted flex-wrap">
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<Badge variant="outline" className="bg-rule-soft text-ink-muted">קטע</Badge>
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<span className="font-mono" dir="ltr">{hit.case_number}</span>
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{hit.court && <span>· {hit.court}</span>}
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{hit.decision_date && <span>· {formatDate(hit.decision_date)}</span>}
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<span className="text-[0.7rem]">· {hit.section_type}</span>
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<span className="ms-auto tabular-nums">דירוג {hit.score.toFixed(2)}</span>
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</div>
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<p className="text-ink text-sm leading-relaxed" dir="rtl">
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{hit.content.slice(0, 600)}
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{hit.content.length > 600 && <span>…</span>}
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</p>
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</div>
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);
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}
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export function LibrarySearchPanel() {
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const [draft, setDraft] = useState("");
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const [query, setQuery] = useState("");
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const [practiceArea, setPracticeArea] = useState<PracticeArea>("");
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const [precedentLevel, setPrecedentLevel] = useState("");
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const [includeHalachot, setIncludeHalachot] = useState(true);
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const { data, isFetching, error } = useLibrarySearch(query, {
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practiceArea: practiceArea || undefined,
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precedentLevel: precedentLevel || undefined,
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includeHalachot,
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limit: 20,
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});
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const onSubmit = (e: React.FormEvent) => {
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e.preventDefault();
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setQuery(draft.trim());
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};
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return (
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<div className="space-y-4">
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<form onSubmit={onSubmit} className="flex items-end gap-3 flex-wrap">
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<div className="flex-1 min-w-[300px]">
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<label className="text-[0.78rem] text-ink-muted">שאילתת חיפוש</label>
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<Input value={draft} onChange={(e) => setDraft(e.target.value)}
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placeholder="השבחה אובייקטיבית" dir="rtl" />
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</div>
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<div className="min-w-[180px]">
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<label className="text-[0.78rem] text-ink-muted">תחום</label>
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<Select value={practiceArea || "_all"}
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onValueChange={(v) => setPracticeArea(v === "_all" ? "" : v as PracticeArea)}>
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<SelectTrigger><SelectValue /></SelectTrigger>
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<SelectContent>
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<SelectItem value="_all">הכל</SelectItem>
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{PRACTICE_AREAS.map((a) => (
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<SelectItem key={a.value} value={a.value}>{a.label}</SelectItem>
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))}
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</SelectContent>
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</Select>
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</div>
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<div className="min-w-[170px]">
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<label className="text-[0.78rem] text-ink-muted">רמת תקדים</label>
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<Select value={precedentLevel || "_all"}
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onValueChange={(v) => setPrecedentLevel(v === "_all" ? "" : v)}>
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<SelectTrigger><SelectValue /></SelectTrigger>
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<SelectContent>
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<SelectItem value="_all">הכל</SelectItem>
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{PRECEDENT_LEVELS.map((l) => (
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<SelectItem key={l.value} value={l.value}>{l.label}</SelectItem>
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))}
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</SelectContent>
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</Select>
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</div>
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<Button type="submit" className="bg-navy text-parchment hover:bg-navy-soft">
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<Search className="w-4 h-4 me-1" />
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חפש
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</Button>
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</form>
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<label className="flex items-center gap-2 cursor-pointer text-sm text-ink-muted">
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<input type="checkbox" checked={includeHalachot}
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onChange={(e) => setIncludeHalachot(e.target.checked)} />
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כלול הלכות (rule-level matches)
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</label>
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{!query.trim() ? (
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<div className="text-center text-ink-muted py-12">
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הקלד שאילתא כדי לחפש בקורפוס. החיפוש סמנטי — לא טקסטואלי.
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</div>
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) : error ? (
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<div className="rounded bg-danger-bg border border-danger/40 px-6 py-5 text-danger text-center">
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{error.message}
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</div>
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) : isFetching ? (
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<div className="space-y-3">
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{[...Array(3)].map((_, i) => <Skeleton key={i} className="h-24 w-full" />)}
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</div>
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) : !data?.items.length ? (
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<div className="text-center text-ink-muted py-12">
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לא נמצאו תוצאות. נסה ניסוח אחר או הסר פילטרים.
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</div>
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) : (
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<div className="space-y-3">
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<p className="text-[0.78rem] text-ink-muted">
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{data.count} תוצאות (הלכות מאושרות בלבד)
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</p>
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{data.items.map((hit, i) =>
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hit.type === "halacha" ? (
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<HalachaCard key={`h-${hit.halacha_id ?? i}`} hit={hit} />
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) : (
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<PassageCard key={`p-${hit.chunk_id ?? i}`} hit={hit} />
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),
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)}
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</div>
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)}
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</div>
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);
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}
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