fix(ai-sdk): national-law subsidiarity in authority rerank (DSGVO > BDSG for general questions)
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The authority reranker (wired in legal_rag_client.go:168) had no national-subsidiarity dimension, so a general BDSG paragraph could outrank the primary DSGVO article. Surfaced by the KB-2026.1 BDSG pilot (dp_05/08/11 + cr_07). - authorityScore: DE binding_law in an EU-primary domain WITHOUT a co-primary topic match -> soft demote (subsidiarityPen 0.18), not exclusion. National special rules stay co-primary via the topic ontology (DSB Art.37+§38, special categories Art.9+§22, ...). - queryDomain: fall back to a regulation-name mention (DSGVO/BDSG/CRA) so a question phrased around the act is domain-scoped even without a topical keyword (fixes cr_07: BDSG Teil-3 §64). - data_protection keyword stem 'auftragsverarbeit' (catches Auftragsverarbeitungsvertrag). Pure ranking logic, no data manipulation; soft demotes keep national rules visible. Build result (DSGVO+BDSG): degraded=0, must_not=0. go build/vet/test ./... green; 6 new table tests. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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@@ -112,7 +112,7 @@ var domains = []domainDef{
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{"data_protection",
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[]string{"DSGVO", "GDPR", "BDSG", "EDPB", "DSK", "BfDI", "BayLfD", "DPF"},
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[]string{"personenbezogen", "betroffene", "datenschutz", "datenschutzbeauftrag", "dsb",
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"datenpanne", "auskunft", "loesch", "lösch", "einwilligung", "besondere kategorien", "auftragsverarbeiter"}},
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"datenpanne", "auskunft", "loesch", "lösch", "einwilligung", "besondere kategorien", "auftragsverarbeit"}},
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{"cyber",
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[]string{"CRA", "NIS2", "NIS-2", "ENISA", "DORA", "EUCC"},
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[]string{"security update", "sicherheitsupdate", "sicherheitsaktualisierung", "schwachstelle", "sbom",
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@@ -126,6 +126,16 @@ var domains = []domainDef{
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nil},
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}
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// euPrimaryDomains are domains whose PRIMARY binding act is an EU regulation/directive
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// (DSGVO, CRA/NIS2, AI Act, MaschinenVO). In these domains a NATIONAL implementing law
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// (e.g. BDSG) is subsidiary for general questions — see nationalSubsidiarityPenalty.
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var euPrimaryDomains = map[string]bool{
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"data_protection": true,
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"cyber": true,
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"ai": true,
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"product_safety": true,
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}
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func queryDomain(query string) string {
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ql := strings.ToLower(query)
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for _, d := range domains {
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@@ -135,6 +145,16 @@ func queryDomain(query string) string {
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}
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}
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}
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// Fallback: an explicit regulation mention (e.g. "DSGVO", "BDSG", "CRA") also signals the
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// domain — so a question phrased around the act ("... gilt die DSGVO ...") is scoped even
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// without a topical keyword. Keyword match wins first (more specific).
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for _, d := range domains {
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for _, reg := range d.regs {
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if strings.Contains(ql, strings.ToLower(reg)) {
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return d.name
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}
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}
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}
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return ""
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}
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