- effort-estimate-report.md: updated metrics (~182 files, ~40K LOC), added enhancement breakdown, updated comparative analysis
- spec.md: status → Core + Enhancement complete, added Enhancement Implementation Notes
- plan.md: all enhancement components marked ✅, metrics updated
- tasks.md: all 26 enhancement tasks (T135-T160) → [x], closure summary updated
- quickstart.md: added §10 Direct Database Insert flow
- data-model.md, research.md, contracts/modules.md, ux_reference.md, spec.ru.md, checklists/requirements.md: dates, statuses, metrics aligned
- all documents now reflect 2026-06-11 state: ~174-182 files, ~39-40K LOC, ~580 pytest, ~68 vitest
80 lines
6.3 KiB
Markdown
80 lines
6.3 KiB
Markdown
# Specification Quality Checklist: LLM Table Translation Service
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**Purpose**: Validate specification completeness and quality before proceeding to planning
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**Created**: 2026-05-08
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**Updated**: 2026-06-11 (enhancement: Direct DB Insert + Connection Settings — IMPLEMENTED)
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**Feature**: [spec.md](../spec.md)
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## Content Quality
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- [x] No implementation details (languages, frameworks, APIs) leak into spec.md
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- [x] Focused on user value and business needs — translation workflow, dictionary management, scheduling for operational stakeholders
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- [x] Written for non-technical stakeholders — uses business terminology throughout
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- [x] All mandatory sections completed (User Scenarios, Clarifications, Requirements, Key Entities, Success Criteria, Assumptions, Access Control Matrix)
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## UX Consistency
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- [x] Functional requirements fully support all flows in ux_reference.md (Flows A–G, updated for Superset API execution)
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- [x] Error handling requirements match all 'Error Experience' scenarios (A–I) in ux_reference.md
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- [x] No requirements contradict the defined User Persona or Context
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- [x] UX principles (preview gates manual runs, traceability, graceful degradation, cost awareness) are reflected in functional requirements
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- [x] INSERT execution via Superset API is consistent across spec, UX, quickstart, and contracts
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## Requirement Completeness
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- [x] No [NEEDS CLARIFICATION] markers remain — all post-review ambiguities resolved in Clarifications sessions
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- [x] Requirements are testable and unambiguous — each FR describes a specific, verifiable behavior
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- [x] Success criteria are measurable — 15 SC items include specific percentages, time bounds, or coverage targets
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- [x] Success criteria are technology-agnostic (no implementation details)
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- [x] All acceptance scenarios are defined — 7 user stories with 41 total acceptance scenarios
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- [x] Edge cases are identified — 19 core edge cases + 14 multi-language/correction + 3 direct DB (connection failure, deletion blocked, password changed) = 36 edge cases covering NULL values, missing tables, large datasets, concurrency, LLM failures, composite keys, dictionary duplicates, schedule overlaps, retention gap, Superset API errors, SQL injection, direct DB connection/auth/timeout failures
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- [x] Scope is clearly bounded — covers configuration, preview quality gate, execution via Superset API OR direct DB, history, dictionary management, feedback loop, scheduling, connection settings; dialect-aware SQL generation (PostgreSQL/Greenplum, ClickHouse)
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- [x] Dependencies and assumptions identified — 22 assumptions
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## Feature Readiness
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- [x] All functional requirements have clear acceptance criteria (mapped to user story acceptance scenarios)
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- [x] User scenarios cover primary flows: Configuration (P1) → Preview Quality Gate + Dictionary (P2) → Superset API Execution + Feedback + Scheduling (P3) → Audit (P4)
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- [x] Feature meets measurable outcomes defined in Success Criteria
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- [x] No implementation details leak into specification
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- [x] Feature aligns with existing ss-tools architecture patterns (plugin system, Superset integration, LLM provider, scheduler, notification, RBAC)
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- [x] Contradictions resolved: FR-023 (snapshot isolation), dictionary conflict model (overwrite/keep existing), preview model (quality gate), auto-insert for scheduled runs (after first successful manual run)
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- [x] New entities added: TranslationBatch, TranslationPreviewSession, TranslationPreviewRecord, MetricSnapshot
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- [x] Event model expanded: nullable run_id, terminal states (succeeded/partial/failed/cancelled/skipped), pre-run events
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- [x] Access control matrix defined with ownership constraints
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- [x] Dialect-aware SQL generation declared (PostgreSQL/Greenplum + ClickHouse, detected from Superset connection)
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- [x] Retention gap resolved: MetricSnapshot persistence before event pruning
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## Implementation Verification (2026-06-10)
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| Check | Status |
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|-------|--------|
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| Backend: translate plugin | ✅ Exists at `plugins/translate/` (59 source files, C2 skeleton) |
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| Backend: translate routes | ✅ Exists as `api/routes/translate/` package (13 submodules) |
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| Backend: translate services | ✅ Decomposed across 59 plugin source files |
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| Backend: translate models | ✅ Exists as `models/translate.py` (401 строка) |
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| Backend: translate schemas | ✅ Exists as `schemas/translate.py` (712 строк) |
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| Backend: translate tests | ✅ 27 файлов в `plugins/translate/__tests__/` + 12 внешних |
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| Frontend: translate pages | ✅ `/translate/`, `/translate/[id]/`, `/translate/dictionaries/`, `/translate/history/` |
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| Frontend: translate components | ✅ 14 Svelte компонентов (включая ConfigTabForm, RunTabContent, TargetTabForm, TargetSchemaHint) |
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| Frontend: translate API client | ✅ `lib/api/translate/` (8 модулей) |
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| Backend: ConnectionService | ✅ Exists as `core/connection_service.py` (448 строк) |
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| Backend: DbExecutor | ✅ Exists as `core/db_executor.py` (369 строк) |
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| Backend: Connection CRUD endpoints | ✅ +5 endpoints in `routes/settings.py` |
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| Frontend: ConnectionsTab | ✅ Exists as `routes/settings/ConnectionsTab.svelte` (385 строк) |
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| Frontend: InsertMethodSelector | ✅ Exists as `components/translate/InsertMethodSelector.svelte` (185 строк) |
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| Docker compose | ✅ `docker-compose.yml` exists |
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| Backend .env | ✅ `backend/.env` (ENCRYPTION_KEY + feature flags) |
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## Notes
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- Post-review session resolved 3 critical contradictions and 10+ medium gaps.
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- FR count: 78 (49 original + 14 multi-language/correction + 15 direct DB/connections) | SC count: 30 | Key entities: 15 | Edge cases: 36
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- Preview model clarified as quality gate (not row-level approval for all rows).
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- INSERT execution supports two methods: Superset `/api/v1/sqllab/execute/` API (existing) AND direct DB connection (NEW via US11–US12).
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- Database connection settings moved to common Settings → Connections tab with encryption, test, and dependency safety.
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- `connections: list[dict]` stub in `GlobalSettings` promoted to `list[DatabaseConnection]` with Pydantic model validation.
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- All manual copy/paste SQL Lab references removed from spec, UX, quickstart, and contracts.
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- Spec status: Implemented ✅ (core + enhancement — all 160 tasks complete)
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- Актуальные метрики: ~174 файла, ~39 400 строк кода (core + enhancement complete)
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