docs: record approved capability map

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# Capability Map
Status: **approved Phase 0 baseline**
Implementation authorization: **not granted**
## Product intent
Build a production-shaped, Persian-first merchant analytics panel that turns payment-attempt data into accurate, traceable, numerical, and actionable insights. Each merchant can sign in with a dedicated username and password, see only its own detailed data, and compare itself with anonymized category/cohort aggregates.
The hackathon demo will seed one account per merchant. Where merchant profile fields are absent from the source dataset, clearly synthetic display data may be generated for presentation; synthetic values must never be represented as source facts.
## Capabilities and dependency order
| Order | Capability | Responsibility | Depends on | MVP |
|---:|---|---|---|:---:|
| 1 | Data foundation | PostgreSQL model, ingestion, provenance, validation, quality reporting, synthetic merchant profiles | — | Yes |
| 2 | Identity and access | Merchant credentials, sessions, tenant isolation, demo account seeding | Data foundation | Yes |
| 3 | Analytics engine | Deterministic metrics, cohorts, trends, diagnostic drill-downs, traceability | Data foundation | Yes |
| 4 | Merchant API | Stable authenticated interfaces for dashboard data and analytics | Identity and access, analytics engine | Yes |
| 5 | Merchant dashboard | Persian RTL dashboard, responsive navigation, accessible charts/tables and explanations | Merchant API | Yes |
| 6 | AI assistance | AvalAI-backed explanation/recommendation workflow over sanitized aggregates | Analytics engine, merchant API | No |
| 7 | Platform operations | Compose, Nginx, CI/CD, observability, backup/restore, release and rollback | All deployables | Yes |
Build sequence: data foundation → identity and analytics → API → dashboard → platform operations → AI assistance.
## Repository boundaries
- `zarinpal-analytics-backend`: one Go repository containing the modular backend and independently runnable commands where needed (API, importer, migrations, jobs).
- `zarinpal-analytics-frontend`: SvelteKit 2, Svelte 5, strict TypeScript, Tailwind CSS v4.
- `zarinpal-analytics-deployment`: Compose/Nginx/scripts/configuration and orchestration only; service repositories appear as ignored nested checkouts during deployment.
## Dataset facts that constrain the design
- Source grain: one payment attempt, uniquely identified by `(session_key, try_seq)`.
- Observed volume: 2,213,289 attempts, 2,062,839 sessions, 343 merchants, 348 terminals, 5 categories.
- Observed period: 2026-01-01 through 2026-07-01.
- Nullability is material: response, PSP, issuer/card, verification timing, and settlement fields are incomplete.
- `adjusted_fee` is obfuscated and supports relative analysis only.
- Raw CSV/database state is local operational input, not versioned source.
## Cross-cutting invariants
1. Tenant isolation is enforced server-side on every merchant-scoped operation.
2. Cross-merchant output is aggregate and anonymized; no row-level peer data is exposed.
3. Every displayed metric has a definition, source fields, filters, time window, and drill-down path.
4. Dataset imports are repeatable and produce a versioned manifest with checksum, counts, timestamps, and validation results.
5. Secrets stay outside Git; examples contain names and safe placeholders only.
6. AI is post-MVP, receives only minimized/sanitized aggregates, and cannot become the source of record.
7. External calls have timeouts and bounded retries; jobs are idempotent and observable.
8. Production changes are reversible and backed by documented health checks and rollback steps.
## Required capability specs
Each capability spec must define objective, scope/non-scope, actors, functional requirements, data/API contracts, security and privacy requirements, failure behavior, observability, tests, acceptance criteria, migration/rollback considerations, and unresolved decisions. A capability may enter implementation only after its spec status is marked **Approved**.

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# ADR 0001: Three-repository topology
- Status: Accepted
- Date: 2026-08-20
## Context
The service needs independently testable/deployable frontend and backend code while retaining a single operational entry point patterned after Qlockify. Deployment-specific files must not pollute service repositories.
## Decision
Use three Git repositories: deployment, Go backend, and SvelteKit frontend. The deployment workspace clones the two service repositories into ignored `backend/` and `frontend/` directories and builds pinned revisions through the release workflow.
## Consequences
- Service changes can run focused CI and then trigger the deployment workflow.
- Deployment remains the authoritative location for Compose, Nginx, backup/restore, and server automation.
- A release manifest must record the exact commit SHA of each service; local nested checkouts alone are not sufficient provenance.
- Cross-repository contract changes require coordinated, backward-compatible rollout or an explicit release plan.