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# Search Gateway Resilience
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## Positioning
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SR-02 is a generic Search Gateway capability improvement. It is not tied to education, exams, geography, policy, product search, or any single content vertical.
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The goal is to convert Search Gateway from single-shot retrieval into an evidence-first retrieval pipeline:
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```text
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query normalization
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→ source planning
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→ official/direct adapters
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→ provider fallback
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→ extraction
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→ evidence cache
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→ confidence scoring
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→ failure diagnosis
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→ human evidence request when needed
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```
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## Generic capabilities
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### 1. Multi-source fallback
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Search Gateway should not fail just because one provider is blocked, truncated, rate-limited, or dynamically rendered.
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Default fallback chain:
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```text
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direct_official_adapter
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→ official_site_search
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→ structured_api_or_feed
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→ search_engine_provider
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→ authoritative_mirror_or_media
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→ cached_evidence
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→ user_supplied_evidence_request
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```
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### 2. Source tiering
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Every source is classified before being trusted:
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```text
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OFFICIAL_PRIMARY
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OFFICIAL_SECONDARY
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AUTHORITATIVE_MEDIA
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SPECIALIZED_DATABASE
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GENERAL_WEB
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USER_SUPPLIED_EVIDENCE
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```
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The same tiering model works for public policy, software documentation, finance data, product specs, standards, academic sources, sports, travel, and user-supplied documents.
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### 3. Failure diagnosis
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Search failures must be structured, not vague.
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Examples:
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```text
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SEARCH_PROVIDER_TIMEOUT
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SEARCH_PROVIDER_CAPTCHA
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SEARCH_RESULT_TRUNCATED
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SOURCE_BLOCKED_BY_CDN
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SOURCE_DYNAMIC_PAGE_UNREADABLE
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OFFICIAL_SOURCE_FOUND_BUT_EXTRACTION_FAILED
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SOURCE_CONFLICT_NEEDS_REVIEW
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EVIDENCE_CACHE_STALE
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HUMAN_EVIDENCE_REQUIRED
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```
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### 4. Evidence cache
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A successful retrieval should leave structured evidence behind:
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```yaml
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evidence_id: ev-...
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normalized_query: ...
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source_tier: OFFICIAL_PRIMARY
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publisher: ...
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url: ...
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extracted_at: ...
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published_at: ...
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answer_fields: {...}
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confidence: high
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```
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Cache entries must carry staleness rules by topic type. Time-sensitive information should expire faster than static references.
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### 5. Confidence scoring
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Search Gateway should return both the answer and confidence metadata:
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```json
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{
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"answer": {},
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"confidence": 0.95,
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"confidence_level": "high",
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"sources": [],
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"fallback_used": true,
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"failure_codes": [],
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"evidence_ids": []
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}
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```
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### 6. Human evidence intake
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When automated retrieval is blocked, Search Gateway should ask for a screenshot, URL, PDF, or pasted text and ingest it as `USER_SUPPLIED_EVIDENCE`, rather than silently failing.
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## Non-goals
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- No vertical-specific hardcoding.
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- No CAPTCHA bypass.
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- No access-control bypass.
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- No scraping of protected/private content.
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- No treating search snippets as authoritative without source classification.
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## Acceptance
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SR-02 is accepted when:
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```text
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AIOS_SEARCH_GATEWAY_MULTI_SOURCE_READY
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AIOS_SEARCH_GATEWAY_FAILURE_DIAGNOSIS_READY
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AIOS_SEARCH_GATEWAY_EVIDENCE_CACHE_READY
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AIOS_SEARCH_GATEWAY_CONFIDENCE_SCORING_READY
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AIOS_SEARCH_GATEWAY_GENERIC_RESILIENCE_READY
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```
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@@ -0,0 +1,9 @@
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{
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"type": "branch",
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"branch": "feature/v1r4c4-sr02-search-gateway-resilience-20260710",
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"base": "main",
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"created_by": "chatgpt-gitops-bot",
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"created_at": "2026-07-10T10:41:20Z",
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"direct_main_push": false,
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"owner_approval_required": true
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}
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@@ -0,0 +1,118 @@
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version: 1
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name: search-gateway-resilience
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baseline: V1R4C3
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created_at: "2026-07-10"
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scope: generic_search_capability
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status: proposed
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purpose: >
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Upgrade Search Gateway from single-shot search into a general-purpose,
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multi-source, evidence-first retrieval system with fallback, diagnostics,
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source confidence scoring, and reusable evidence cache.
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non_goals:
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- Do not hardcode education, exam, province, or any single domain logic.
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- Do not depend on a single search engine.
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- Do not treat scraped content as trusted without source classification.
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- Do not bypass robots, authentication, CAPTCHA, paywalls, or access controls.
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source_priority:
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OFFICIAL_PRIMARY:
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confidence_base: 0.95
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examples:
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- official_government_site
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- official_regulator_site
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- official_organization_site
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- official_product_or_vendor_docs
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OFFICIAL_SECONDARY:
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confidence_base: 0.90
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examples:
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- official_mirror
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- official_press_release_distribution
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- official_public_archive
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AUTHORITATIVE_MEDIA:
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confidence_base: 0.80
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examples:
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- established_newsroom
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- recognized_wire_service
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- domain_authority_publication
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SPECIALIZED_DATABASE:
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confidence_base: 0.78
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examples:
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- standards_database
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- academic_index
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- legal_or_financial_database
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- statistical_repository
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GENERAL_WEB:
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confidence_base: 0.55
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examples:
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- search_engine_result
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- blog
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- forum
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- social_excerpt
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USER_SUPPLIED_EVIDENCE:
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confidence_base: 0.50
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examples:
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- screenshot
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- document_upload
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- manual_link
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fallback_chain:
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- direct_official_adapter
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- official_site_search
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- structured_api_or_feed
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- search_engine_provider
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- authoritative_mirror_or_media
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- cached_evidence
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- user_supplied_evidence_request
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failure_codes:
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- SEARCH_PROVIDER_TIMEOUT
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- SEARCH_PROVIDER_RATE_LIMITED
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- SEARCH_PROVIDER_CAPTCHA
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- SEARCH_RESULT_TRUNCATED
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- SEARCH_RESULT_LOW_RELEVANCE
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- SOURCE_BLOCKED_BY_CDN
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- SOURCE_404_OR_REMOVED
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- SOURCE_DYNAMIC_PAGE_UNREADABLE
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- SOURCE_EXTRACTION_FAILED
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- OFFICIAL_SOURCE_FOUND_BUT_EXTRACTION_FAILED
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- SOURCE_CONFLICT_NEEDS_REVIEW
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- EVIDENCE_CACHE_MISS
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- EVIDENCE_CACHE_STALE
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- HUMAN_EVIDENCE_REQUIRED
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result_contract:
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required_fields:
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- answer
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- confidence
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- sources
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- fallback_used
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- failure_codes
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- verified_at
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- evidence_ids
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confidence_levels:
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high: ">=0.85 with official or multi-source corroboration"
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medium: ">=0.65 and <0.85 with credible but incomplete evidence"
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low: "<0.65 or unresolved source/extraction limitations"
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cache_policy:
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evidence_cache_enabled: true
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cache_key_fields:
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- normalized_query
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- topic_type
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- jurisdiction_or_scope
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- effective_date
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stale_after_days_by_topic:
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news: 7
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policy_or_law: 30
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product_or_price: 3
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static_reference: 180
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default: 14
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acceptance_signals:
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- AIOS_SEARCH_GATEWAY_MULTI_SOURCE_READY
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- AIOS_SEARCH_GATEWAY_FAILURE_DIAGNOSIS_READY
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- AIOS_SEARCH_GATEWAY_EVIDENCE_CACHE_READY
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- AIOS_SEARCH_GATEWAY_CONFIDENCE_SCORING_READY
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- AIOS_SEARCH_GATEWAY_GENERIC_RESILIENCE_READY
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@@ -0,0 +1,147 @@
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"""Generic Search Gateway resilience contract.
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This module is intentionally domain-agnostic. It defines shared result,
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failure, source, cache, and confidence primitives that concrete providers and
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adapters can use without hardcoding a specific vertical.
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"""
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from __future__ import annotations
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from dataclasses import dataclass, field
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from datetime import datetime, timezone
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from enum import Enum
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from typing import Any
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class SourceTier(str, Enum):
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OFFICIAL_PRIMARY = "OFFICIAL_PRIMARY"
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OFFICIAL_SECONDARY = "OFFICIAL_SECONDARY"
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AUTHORITATIVE_MEDIA = "AUTHORITATIVE_MEDIA"
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SPECIALIZED_DATABASE = "SPECIALIZED_DATABASE"
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GENERAL_WEB = "GENERAL_WEB"
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USER_SUPPLIED_EVIDENCE = "USER_SUPPLIED_EVIDENCE"
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class FailureCode(str, Enum):
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SEARCH_PROVIDER_TIMEOUT = "SEARCH_PROVIDER_TIMEOUT"
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SEARCH_PROVIDER_RATE_LIMITED = "SEARCH_PROVIDER_RATE_LIMITED"
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SEARCH_PROVIDER_CAPTCHA = "SEARCH_PROVIDER_CAPTCHA"
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SEARCH_RESULT_TRUNCATED = "SEARCH_RESULT_TRUNCATED"
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SEARCH_RESULT_LOW_RELEVANCE = "SEARCH_RESULT_LOW_RELEVANCE"
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SOURCE_BLOCKED_BY_CDN = "SOURCE_BLOCKED_BY_CDN"
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SOURCE_404_OR_REMOVED = "SOURCE_404_OR_REMOVED"
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SOURCE_DYNAMIC_PAGE_UNREADABLE = "SOURCE_DYNAMIC_PAGE_UNREADABLE"
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SOURCE_EXTRACTION_FAILED = "SOURCE_EXTRACTION_FAILED"
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OFFICIAL_SOURCE_FOUND_BUT_EXTRACTION_FAILED = "OFFICIAL_SOURCE_FOUND_BUT_EXTRACTION_FAILED"
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SOURCE_CONFLICT_NEEDS_REVIEW = "SOURCE_CONFLICT_NEEDS_REVIEW"
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EVIDENCE_CACHE_MISS = "EVIDENCE_CACHE_MISS"
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EVIDENCE_CACHE_STALE = "EVIDENCE_CACHE_STALE"
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HUMAN_EVIDENCE_REQUIRED = "HUMAN_EVIDENCE_REQUIRED"
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SOURCE_CONFIDENCE_BASE: dict[SourceTier, float] = {
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SourceTier.OFFICIAL_PRIMARY: 0.95,
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SourceTier.OFFICIAL_SECONDARY: 0.90,
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SourceTier.AUTHORITATIVE_MEDIA: 0.80,
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SourceTier.SPECIALIZED_DATABASE: 0.78,
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SourceTier.GENERAL_WEB: 0.55,
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SourceTier.USER_SUPPLIED_EVIDENCE: 0.50,
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}
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@dataclass(frozen=True)
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class EvidenceSource:
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url: str
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title: str
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tier: SourceTier
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extracted_at: str
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publisher: str | None = None
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published_at: str | None = None
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evidence_id: str | None = None
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extraction_method: str | None = None
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metadata: dict[str, Any] = field(default_factory=dict)
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@property
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def base_confidence(self) -> float:
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return SOURCE_CONFIDENCE_BASE[self.tier]
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@dataclass(frozen=True)
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class SearchGatewayResult:
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answer: dict[str, Any]
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sources: tuple[EvidenceSource, ...]
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failure_codes: tuple[FailureCode, ...] = ()
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fallback_used: bool = False
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evidence_ids: tuple[str, ...] = ()
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verified_at: str = field(default_factory=lambda: datetime.now(timezone.utc).isoformat())
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confidence: float = 0.0
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confidence_level: str = "low"
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notes: tuple[str, ...] = ()
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|
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def confidence_level(score: float) -> str:
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if score >= 0.85:
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return "high"
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if score >= 0.65:
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return "medium"
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return "low"
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def score_sources(sources: tuple[EvidenceSource, ...], failure_codes: tuple[FailureCode, ...] = ()) -> float:
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"""Compute a conservative confidence score from source tiers and failures."""
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if not sources:
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return 0.0
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best = max(source.base_confidence for source in sources)
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official_count = sum(
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1 for source in sources if source.tier in {SourceTier.OFFICIAL_PRIMARY, SourceTier.OFFICIAL_SECONDARY}
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)
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corroboration_bonus = min(0.08, max(0, len(sources) - 1) * 0.03)
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official_bonus = 0.03 if official_count >= 1 and len(sources) >= 2 else 0.0
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|
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penalty = 0.0
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if FailureCode.SOURCE_CONFLICT_NEEDS_REVIEW in failure_codes:
|
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penalty += 0.25
|
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if FailureCode.SEARCH_RESULT_TRUNCATED in failure_codes:
|
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penalty += 0.05
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if FailureCode.SOURCE_EXTRACTION_FAILED in failure_codes:
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penalty += 0.08
|
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if FailureCode.EVIDENCE_CACHE_STALE in failure_codes:
|
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penalty += 0.10
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if FailureCode.HUMAN_EVIDENCE_REQUIRED in failure_codes:
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penalty += 0.15
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|
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score = best + corroboration_bonus + official_bonus - penalty
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return max(0.0, min(0.99, round(score, 3)))
|
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|
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|
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def build_result(
|
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answer: dict[str, Any],
|
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sources: tuple[EvidenceSource, ...],
|
||||
failure_codes: tuple[FailureCode, ...] = (),
|
||||
fallback_used: bool = False,
|
||||
notes: tuple[str, ...] = (),
|
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) -> SearchGatewayResult:
|
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score = score_sources(sources, failure_codes)
|
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evidence_ids = tuple(source.evidence_id for source in sources if source.evidence_id)
|
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return SearchGatewayResult(
|
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answer=answer,
|
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sources=sources,
|
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failure_codes=failure_codes,
|
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fallback_used=fallback_used,
|
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evidence_ids=evidence_ids,
|
||||
confidence=score,
|
||||
confidence_level=confidence_level(score),
|
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notes=notes,
|
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)
|
||||
|
||||
|
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def classify_http_or_extraction_failure(status_code: int | None = None, *, dynamic_page: bool = False, captcha: bool = False) -> FailureCode:
|
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if captcha:
|
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return FailureCode.SEARCH_PROVIDER_CAPTCHA
|
||||
if status_code == 403:
|
||||
return FailureCode.SOURCE_BLOCKED_BY_CDN
|
||||
if status_code == 404:
|
||||
return FailureCode.SOURCE_404_OR_REMOVED
|
||||
if dynamic_page:
|
||||
return FailureCode.SOURCE_DYNAMIC_PAGE_UNREADABLE
|
||||
return FailureCode.SOURCE_EXTRACTION_FAILED
|
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@@ -0,0 +1,93 @@
|
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from runtime.search_gateway.resilience_contract import (
|
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EvidenceSource,
|
||||
FailureCode,
|
||||
SourceTier,
|
||||
build_result,
|
||||
classify_http_or_extraction_failure,
|
||||
confidence_level,
|
||||
score_sources,
|
||||
)
|
||||
|
||||
|
||||
def source(tier: SourceTier, evidence_id: str = "ev-1") -> EvidenceSource:
|
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return EvidenceSource(
|
||||
url="https://example.test/source",
|
||||
title="Example source",
|
||||
tier=tier,
|
||||
extracted_at="2026-07-10T00:00:00+00:00",
|
||||
evidence_id=evidence_id,
|
||||
)
|
||||
|
||||
|
||||
def test_official_primary_scores_high():
|
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result = build_result(
|
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answer={"value": 1},
|
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sources=(source(SourceTier.OFFICIAL_PRIMARY),),
|
||||
)
|
||||
assert result.confidence >= 0.85
|
||||
assert result.confidence_level == "high"
|
||||
|
||||
|
||||
def test_general_web_scores_low_without_corroboration():
|
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result = build_result(
|
||||
answer={"value": 1},
|
||||
sources=(source(SourceTier.GENERAL_WEB),),
|
||||
)
|
||||
assert result.confidence_level == "low"
|
||||
|
||||
|
||||
def test_multiple_sources_add_corroboration_bonus():
|
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one = score_sources((source(SourceTier.AUTHORITATIVE_MEDIA, "ev-1"),))
|
||||
two = score_sources((source(SourceTier.AUTHORITATIVE_MEDIA, "ev-1"), source(SourceTier.GENERAL_WEB, "ev-2")))
|
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assert two > one
|
||||
|
||||
|
||||
def test_conflict_penalty_lowers_score():
|
||||
clean = score_sources((source(SourceTier.OFFICIAL_PRIMARY),))
|
||||
conflicted = score_sources((source(SourceTier.OFFICIAL_PRIMARY),), (FailureCode.SOURCE_CONFLICT_NEEDS_REVIEW,))
|
||||
assert conflicted < clean
|
||||
|
||||
|
||||
def test_build_result_carries_failure_codes_and_fallback_flag():
|
||||
result = build_result(
|
||||
answer={"value": 1},
|
||||
sources=(source(SourceTier.OFFICIAL_SECONDARY),),
|
||||
failure_codes=(FailureCode.SEARCH_RESULT_TRUNCATED,),
|
||||
fallback_used=True,
|
||||
)
|
||||
assert result.fallback_used is True
|
||||
assert FailureCode.SEARCH_RESULT_TRUNCATED in result.failure_codes
|
||||
|
||||
|
||||
def test_build_result_collects_evidence_ids():
|
||||
result = build_result(
|
||||
answer={"value": 1},
|
||||
sources=(source(SourceTier.OFFICIAL_PRIMARY, "ev-a"), source(SourceTier.AUTHORITATIVE_MEDIA, "ev-b")),
|
||||
)
|
||||
assert result.evidence_ids == ("ev-a", "ev-b")
|
||||
|
||||
|
||||
def test_confidence_level_boundaries():
|
||||
assert confidence_level(0.85) == "high"
|
||||
assert confidence_level(0.65) == "medium"
|
||||
assert confidence_level(0.64) == "low"
|
||||
|
||||
|
||||
def test_classify_403_as_cdn_blocked():
|
||||
assert classify_http_or_extraction_failure(status_code=403) == FailureCode.SOURCE_BLOCKED_BY_CDN
|
||||
|
||||
|
||||
def test_classify_404_as_removed():
|
||||
assert classify_http_or_extraction_failure(status_code=404) == FailureCode.SOURCE_404_OR_REMOVED
|
||||
|
||||
|
||||
def test_classify_dynamic_page_as_unreadable():
|
||||
assert classify_http_or_extraction_failure(dynamic_page=True) == FailureCode.SOURCE_DYNAMIC_PAGE_UNREADABLE
|
||||
|
||||
|
||||
def test_classify_captcha_as_provider_captcha():
|
||||
assert classify_http_or_extraction_failure(captcha=True) == FailureCode.SEARCH_PROVIDER_CAPTCHA
|
||||
|
||||
|
||||
def test_no_sources_scores_zero():
|
||||
assert score_sources(()) == 0.0
|
||||
@@ -0,0 +1,47 @@
|
||||
{
|
||||
"sr_id": "V1R4C4-SR02",
|
||||
"title": "Generic Search Gateway Resilience",
|
||||
"baseline": "V1R4C3",
|
||||
"scope": "generic_search_capability",
|
||||
"status": "merge_candidate",
|
||||
"risk": "medium",
|
||||
"owner_gate_required": true,
|
||||
"summary": "Upgrade Search Gateway into a domain-agnostic, evidence-first retrieval pipeline with multi-source fallback, failure diagnosis, evidence cache, and confidence scoring.",
|
||||
"non_goals": [
|
||||
"No education-specific hardcoding",
|
||||
"No geography-specific hardcoding",
|
||||
"No CAPTCHA bypass",
|
||||
"No access-control bypass",
|
||||
"No single search engine dependency"
|
||||
],
|
||||
"capabilities": [
|
||||
"multi_source_fallback",
|
||||
"source_tier_classification",
|
||||
"failure_diagnosis_codes",
|
||||
"evidence_cache_contract",
|
||||
"confidence_scoring",
|
||||
"human_evidence_intake"
|
||||
],
|
||||
"files": [
|
||||
"policies/search-gateway-resilience.yaml",
|
||||
"runtime/search_gateway/resilience_contract.py",
|
||||
"tests/test_search_gateway_resilience_contract.py",
|
||||
"docs/search-gateway-resilience.md"
|
||||
],
|
||||
"acceptance_tests": [
|
||||
"tests/test_search_gateway_resilience_contract.py"
|
||||
],
|
||||
"acceptance_signals": [
|
||||
"AIOS_SEARCH_GATEWAY_MULTI_SOURCE_READY",
|
||||
"AIOS_SEARCH_GATEWAY_FAILURE_DIAGNOSIS_READY",
|
||||
"AIOS_SEARCH_GATEWAY_EVIDENCE_CACHE_READY",
|
||||
"AIOS_SEARCH_GATEWAY_CONFIDENCE_SCORING_READY",
|
||||
"AIOS_SEARCH_GATEWAY_GENERIC_RESILIENCE_READY"
|
||||
],
|
||||
"next_steps_after_merge": [
|
||||
"Bind concrete providers to the generic contract",
|
||||
"Implement evidence cache storage adapter",
|
||||
"Add provider-level fallback orchestration",
|
||||
"Run existing Task Center and Search Gateway regression suite"
|
||||
]
|
||||
}
|
||||
Reference in New Issue
Block a user