Defines user and administrator flows, states, transitions, messages, and exceptional cases for data export. This reference fixes the adoption boundary, failure behavior, and observable evidence while leaving environment-specific limits configurable.
Package status: reference context ready for human review. The contract and test scenarios are complete, but no claim is made that an adopting implementation has passed them.
Decision
For Data export, adopt a durable account, organization, membership, and ownership state model. Define a deterministic user journey with visible state, reversible choices where possible, preserved input, and accessible recovery. This package is a reference contract: the adopting team must choose numeric limits, providers, jurisdictions, and operational owners from evidence in its own environment.
Scope
- The Data export actors, inputs, outputs, states, policy or schema versions, and externally visible outcomes described by this ux block.
- Primary and alternate interfaces, background work, caches, integrations, support paths, and evidence that can exercise the same boundary.
- Adoption-specific configuration, rollout, recovery, and verification responsibilities needed to apply the reference safely.
Outside this block
- Choosing a universal vendor, framework, jurisdiction, numeric threshold, retention period, or service-level objective for every adopter.
- Claiming that packaged scenarios have run against a downstream implementation or that this reference grants legal, security, or accessibility certification.
Contract
- Resolve the active organization from authenticated membership and re-authorize every scoped resource operation on the server.
- Represent invited, active, suspended, removed, transferred, merged, and deletion-pending states explicitly where applicable.
- Make ownership and membership changes idempotent, require recent assurance for high-impact actions, and record actor plus reason.
- Propagate lifecycle changes to sessions, API credentials, jobs, exports, indexes, billing links, and integrations without relying on cache expiry alone.
- Show progress only while work is actually pending and prevent duplicate activation without hiding the user's committed intent.
- Use plain, action-specific messages that distinguish validation, permission, connectivity, conflict, and terminal failure.
- Bind each export to an authenticated requester, tenant, resource scope, filter snapshot, schema version, as-of time, format, purpose, retention, and durable operation identity.
- Apply field and row authorization before generation, stream or chunk bounded work, escape active spreadsheet content, encrypt delivery, expire downloads, and make retry and cancellation idempotent.
Implementation guidance
- Prototype the longest, empty, slow, offline, denied, and assistive-technology paths before locking the happy-path layout.
- Model Data export inputs, outputs, actors, states, invariants, side effects, and evidence before selecting framework or vendor details.
- Store the applicable Data export contract or policy version with material state so migrations, replay, and support decisions remain attributable.
- Introduce the path behind controlled rollout, compare expected and observed outcomes, and keep a tested recovery route until adoption evidence is complete.
Failure handling and safeguards
- Conflicting ownership or membership evidence blocks the mutation and routes it to a recoverable, audited support path.
- Invalid or contradictory Data export state is rejected or quarantined; the implementation never guesses a value that broadens authority or duplicates an effect.
- Retries are bounded and use durable identity; after exhaustion, work reaches an inspectable terminal state with an accountable owner.
Verification and operations
- Complete the journey with keyboard, touch, screen reader, narrow viewport, delayed network, and a recoverable server error.
- Monitor Data export success, denial, validation failure, dependency failure, retry exhaustion, and recovery by contract version without sensitive payload dimensions.
- Re-run paired positive and negative fixtures after policy, schema, dependency, migration, or boundary changes and preserve the resulting evidence.
Adoption assumptions
- Names and values in the example are a concrete fixture, not universal defaults; adopters replace them through documented evidence and ownership.
- The adopting system can provide authenticated identity, durable operation or record versions, bounded telemetry, and a controlled path for change.
The executable-looking examples in this package are fixtures and acceptance contracts. Run the collection validator to check structure and metadata, then translate and execute the scenarios in the target repository before recording implementation evidence.