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docs/policy/architecture.md
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docs/policy/architecture.md
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# Narratio Architecture
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## Purpose
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`narratio` is a Go orchestration application for processing D&D session audio into polished transcripts and generated session artifacts.
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This document defines the development principles for the project. It is inward-facing: its audience is developers and LLM coding agents. It should guide future changes, not serve as a complete implementation reference.
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Implemented component details belong under `docs/internal/`.
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## Project Shape
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Narratio is a modular, stage-driven orchestrator.
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It coordinates specialized downstream systems rather than reimplementing their domains:
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- WhisperX handles transcription.
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- Seriatim handles deterministic transcript merge/normalization/trim behavior.
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- Audita handles transcript correction and polishing.
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- Scriptorium handles prompt execution and generated artifacts.
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Narratio owns orchestration, configuration loading, session/run state, local and remote path modeling, manifest persistence, stage sequencing, resume behavior, and publish semantics.
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Narratio should remain explicit and comprehensible. It is not intended to become a generic workflow engine.
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## Core Principles
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### Modular and composable
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Code should be organized around clear responsibilities. Stages, adapters, config loading, manifest persistence, path construction, and storage behavior should remain separable and independently testable.
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### Hexagonal boundaries
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External systems should be isolated behind narrow adapters. Stage logic should depend on Narratio-level interfaces and data structures, not on external SDK types, subprocess argument construction, or transport-specific details.
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### Standard library preference
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Prefer the Go standard library. Add dependencies only when they provide substantial value, are necessary for an external integration, or are a widely used de facto standard.
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Accepted examples include a YAML library for configuration and the AWS SDK for S3-compatible storage.
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### Explicit orchestration
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The pipeline should remain stage-driven and explicit. New behavior should be added through clear stage, adapter, config, or manifest contracts rather than implicit side effects or generic workflow abstraction.
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## Stage Design
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Each stage should have a clear scope of responsibility.
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A stage should define:
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- its purpose;
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- required input state;
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- produced output state;
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- config fields it consumes;
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- external adapters it uses;
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- manifest refs it reads or writes;
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- skip, force, and resume behavior;
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- failure behavior;
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- tests that protect its contract.
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Stages should avoid reaching across boundaries. If shared behavior is needed, prefer a helper or service with a narrow interface over duplicating ad hoc logic between stages.
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## Transactionality and Resume
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A stage should behave transactionally.
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A stage is complete only when its outputs have been written, validated, and recorded in the manifest. If a stage fails, Narratio should preserve enough local state for inspection, recovery, and resume.
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A failed or incomplete run must not be treated as successful. Later stages should depend on manifest-recorded success, not merely on incidental files existing on disk.
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## Manifest Model
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The manifest is the durable local ledger for a run.
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It should record:
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- run identity;
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- stage status;
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- input and output refs;
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- logs and generated config refs;
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- checksums or provenance where useful;
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- non-secret adapter and publish metadata.
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Resume behavior should be manifest-driven. Filesystem state may be inspected and validated, but it should not replace manifest stage state as the source of run progress.
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## Adapter Boundaries
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Adapters own external integration details.
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Expected boundaries:
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- WhisperX HTTP details stay in the WhisperX adapter.
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- Seriatim CLI construction stays in the Seriatim adapter.
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- Audita CLI construction stays in the Audita adapter.
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- Scriptorium CLI construction stays in the Scriptorium adapter.
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- Object-storage details stay behind the storage adapter interface.
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- AWS SDK types stay inside the S3 storage implementation.
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Stage code should express intent in Narratio terms and call adapters through narrow contracts.
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## Configuration Philosophy
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Configuration should be strict, explicit, and operator-friendly.
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Principles:
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- YAML decoding should reject unknown fields.
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- Defaults should be centralized and testable.
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- Empty configured values should not silently override meaningful defaults.
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- Session templating should remain narrow and deterministic.
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- Template support should serve operator convenience, not become a general configuration language.
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Narratio should not become a secondary configuration system for downstream tools. Seriatim, Audita, and Scriptorium should own their runtime defaults wherever practical. Narratio should pass required stage-contract paths and explicit operator overrides.
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## Path and Storage Discipline
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Local and remote paths are part of Narratio’s application contract.
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Code should use centralized path helpers for workspace, spool, session, run, artifact, log, config, and publish/current paths. Stages should avoid reconstructing canonical paths through scattered string concatenation.
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Storage backends should receive explicit bucket-relative keys. Storage implementations should not infer campaign, session, run, or root-prefix semantics.
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## Publish Invariants
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Publish behavior must preserve a clear commit boundary.
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A remote run is current only after the publish stage has successfully uploaded the run record, required published outputs, `current/manifest.json`, and finally `current/run_id.txt`.
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`current/run_id.txt` is the final remote commit marker and must be written last.
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Failed, incomplete, skipped, or uncommitted publish attempts must not be presented as current remote state. Local cleanup is permitted only after successful publish commit and only when explicitly configured.
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## Security and Privacy
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Narratio handles private campaign material.
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Rules:
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- Do not store raw secrets in pipeline or session YAML.
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- Use environment variable names or secret-file references for secret handling.
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- Do not write raw secret values to manifests, logs, generated configs, or publish metadata.
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- Treat transcripts, generated artifacts, prompts, reports, and logs as potentially sensitive.
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- Avoid logging transcript or prompt content unless there is a deliberate diagnostic reason.
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## Diagnostics
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Diagnostics should be durable and discoverable, but distinct from canonical outputs.
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Logs, reports, generated invocation/config files, and render-debug files support debugging. Transcript tiers and configured artifacts are pipeline products.
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Manifest refs should preserve that distinction.
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## Determinism
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Where practical, Narratio should prefer deterministic behavior:
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- stable local path layout;
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- stable remote key layout;
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- sorted upload order;
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- predictable generated config files;
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- repeatable command construction;
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- tests that do not depend on live external services.
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Run IDs and timestamps may be intentionally variable, but surrounding behavior should remain testable.
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## Testing Expectations
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Core behavior should be testable without live external services.
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Tests should cover:
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- config loading, defaults, and validation;
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- CLI parsing and command construction;
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- path helpers;
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- manifest transitions;
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- stage success, failure, skip, and resume behavior;
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- adapter command construction;
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- fake storage behavior;
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- publish commit ordering;
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- example config validity where practical.
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Live S3, WhisperX, LLM, or subprocess integration tests should be explicit integration tests, not required for ordinary unit test runs.
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## Documentation Expectations
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Documentation must follow `docs/documentation/policy.md`.
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Current behavior belongs in user-facing docs and `docs/internal/`. Future, planned, aspirational, experimental, or unimplemented work belongs only under `docs/roadmap/`.
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`docs/architecture.md` should remain concise and principle-focused. It should not duplicate the full config reference, CLI reference, operations guide, or internal stage documentation.
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## Non-Goals
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Narratio is not:
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- a generic DAG or workflow engine;
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- a replacement configuration layer for Seriatim, Audita, or Scriptorium;
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- a storage backend abstraction beyond the needs of this pipeline;
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- a place to embed raw secrets;
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- a place for stage logic to depend directly on AWS SDK types or downstream tool internals;
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- a prompt-authoring system.
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