43 lines
4.1 KiB
Markdown
43 lines
4.1 KiB
Markdown
# Backend Agent Operating Contract
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## Phase gate
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This repository is in specification mode. Do not create `go.mod`, application packages, migrations, containers, or executable code until the relevant capability spec is approved.
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For every Go-related task, always invoke and follow the `golang-how-to` skill, then the secondary Go skills it routes to. Before creating the Go project layout, ask the user to approve the architecture style and dependency-injection approach in that order.
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## Product invariants
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- The backend is the authority for authentication, authorization, tenant isolation, metric definitions, and data provenance.
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- Every merchant-scoped query derives merchant identity from the authenticated server-side session; never trust a client-supplied merchant identifier as authorization.
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- Cross-merchant results are anonymized aggregates only. Exclude the active merchant and suppress the benchmark unless at least 10 other merchants and 1,000 combined peer sessions contribute to the approved cohort/window.
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- Treat `payer_card_key` as an opaque, merchant-scoped source token with unverified upstream semantics. Retain it unchanged only for internal deterministic analytics; never expose it through merchant APIs, logs, exports, or AI inputs, and never describe it as a card number or verified person identifier.
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- Use integer minor currency units or an explicitly documented fixed-precision representation; never floating point for money.
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- Interpret timezone-naive challenge timestamps as `Asia/Tehran`, preserve their source provenance, and normalize canonical database/API timestamps to UTC `timestamptz`/ISO 8601. Any change to this assumption requires a new import version and ADR.
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- Raw imports are immutable inputs; corrections are new import versions, not silent mutation.
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- `adjusted_fee` is obfuscated and may be used only for relative analysis.
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## Go baseline after approval
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- Keep `main` packages thin under `cmd/`; business code lives under `internal/`.
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- Wire dependencies manually with explicit constructors at the composition root. Do not introduce a DI container or code generator unless a later ADR documents measured wiring/lifecycle complexity.
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- Use explicit constructors; avoid `init()` side effects and mutable globals.
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- Configuration comes from validated environment variables. Logs go to stdout as structured records without credentials, card keys, or sensitive payloads.
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- Propagate `context.Context`; bound external calls, queues, batches, and database pools.
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- Use parameterized queries and transactions with explicit boundaries. Stream/bulk-load the multi-million-row input instead of holding it in memory.
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- Use Ent for application persistence and relationship modeling. Use pgx with PostgreSQL `COPY` for the bulk-import staging path; do not force high-volume ingestion through row-by-row ORM operations.
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- Database migrations are explicit, versioned, reviewed artifacts applied by a dedicated migration/deployment step. Never run Ent automatic schema creation against production during application startup.
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- Passwords use an approved adaptive hash (Argon2id or bcrypt per the approved auth spec); sessions use secure, HttpOnly cookies and server-side revocation.
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- Required verification includes unit/integration tests, race detection where applicable, `go vet`, `golangci-lint`, `govulncheck`, and migration/import tests.
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## Git and documentation
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- Use atomic Conventional/Commitizen commits.
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- Track specs, ERD/schema definitions, migrations, importer code, validation rules, manifests/templates, and runbooks.
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- Ignore raw CSV archives, database volumes/dumps, credentials, and generated runtime data.
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- Changes to a metric, API, schema, authorization rule, or AI data boundary require the corresponding spec/ADR update.
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## AI boundary (post-MVP)
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AvalAI is accessed only from the backend using a server-held API key. Prefer the simplest bounded LLM call/workflow that satisfies the approved use case. Send minimized, sanitized aggregates with explicit budgets/timeouts; persist trace metadata and deterministic inputs, not unnecessary sensitive prompts. AI output is advisory and must cite underlying deterministic metrics.
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