trainlog/AGENTS.md

Trainlog Development Contract

1. Scope

Trainlog consists of:

• a native Android application for fast workout and body-data capture;
• a Unix/Linux C17 terminal TUI for durable history, correction, analysis, visualization, and manual synchronization, using Notcurses as its completed active rendering/input backend;
• a loopback-only local Web adapter with implemented Dashboard, Analyse, Programmes, Sessions, and Exercises routes on the 0.1.7 development line;
• a small user-session PC agent, trainlog-syncd, for Android-triggered synchronization;
• versioned JSON synchronization artifacts exchanged through configured Bluetooth Classic RFCOMM, direct MTP recovery, or a separate private Drive workflow.

The desktop SQLite database is the canonical long-term history.

The full-generation orchestrator and Web sync surface are implemented behind a trusted local opt-in. Default deployed automatic exchange remains V3 until the separate controlled-rollout decision.

Android has an independent local SQLite store for offline capture. SQLite database files are never synchronized directly.

2. Frozen compatibility boundary

TRAINLOG_FORMAT_V1 is frozen.

A published format version must never receive an incompatible semantic change.

New synchronization or domain needs use separate, explicitly versioned artifacts. Do not overload frozen v1 through notes, fake sets, or silent data loss.

3. Exercise model

Exercise behavior is metadata-driven:

recording_mode = SETS | CONTINUOUS
tracking_mode  = REPS | DURATION
data_fields    = bounded supplemental field mask

Valid model-v1 combinations are:

SETS + REPS
SETS + DURATION
CONTINUOUS + DURATION

CONTINUOUS + REPS is invalid.

Continuous activity must not be represented as a fake performed set.

Actual set values are independent records. Heterogeneous repetitions are valid.

4. Identity

Stable identities use UUIDv4-based creator IDs:

ex_<uuid-v4>   exercise
se_<uuid-v4>   session
bo_<uuid-v4>   body observation
sy_<uuid-v4>   synchronization run

Display names are not identities.

Import and synchronization paths must remain idempotent by stable IDs.

Android exercise editing preserves exercise_id: a rename trims and re-normalizes display metadata in the existing row and must not create a second exercise. Profile changes are rejected once completed history or an active draft references the exercise; renaming remains safe. Same-ID catalog reconciliation updates name metadata in place and rejects different-ID normalized-name collisions.

5. Desktop implementation

The desktop core is C17.

Current primary dependencies:

• SQLite3;
• utf8proc;
• libuuid;
• libudev;
• libmtp;
• Meson;
• Ninja;
• one active desktop terminal backend.

For the completed TUI_NOTCURSES_V1 infrastructure checkpoint:

legacy backend = ncursesw (historical only)
active backend = Notcurses

TUI_NOTCURSES_V1=PASS. Active desktop TUI code and build wiring use Notcurses and do not retain ncursesw as an unused compatibility backend.

Business logic, persistence, transport, and rendering remain separated.

SQLite operations must not be scattered through rendering code.

Important business rules must not depend directly on ncurses, Notcurses, or terminal-library-specific key constants.

Strict warning policy must not be weakened to make a change compile.

Desktop TUI backend contract

The terminal library is infrastructure, not product semantics.

The active TUI backend must preserve:

public entry point: trainlog_tui_run(TrainlogDatabase *)
minimum terminal: 72x20
small-terminal fallback
keyboard-first navigation
UTF-8 text input
resize recovery
semantic color roles
all existing screen/workflow behavior

Terminal-library state must not become process-global application state.

Application screen logic should consume Trainlog-owned key/input semantics rather than raw backend-specific KEY_*/event constants.

The Notcurses migration may modernize rendering with true color, Unicode borders, flat panels, and clearer focus/selection states, but must not change:

database schema or SQL semantics
TRAINLOG_FORMAT_V1
exercise semantics
session semantics
measured-max semantics
body-analytics semantics
sync/MTP protocols
Android behavior

After the migration is validated, canonical documentation must describe Notcurses as the active desktop TUI backend.

6. Android implementation

Android is a Kotlin/Jetpack Compose capture client.

It owns local data entry and local persistence for:

• exercise catalog entries;
• sessions;
• performed sets;
• continuous activities;
• body observations.

It is not the canonical analytics store.

The Android UI is driven by exercise metadata, never by exercise-name heuristics.

Android local SQLite schema v34 retains the exactly-one durable active-session draft introduced in v4. Every meaningful draft/form mutation is persisted by the repository. Back, backgrounding and process death never delete the draft. Home offers explicit resume; whole-draft discard requires confirmation. Final completed-session insertion and draft deletion are one transaction. Drafts are excluded from completed history and mobile export. Preserve raw partial form input and use an explicit, non-destructive migration for future Android schema changes.

Android schema v11 additionally stores optional planning metadata separately from actual occurrence data after the additive v10 -> v11 migration. Existing rows retain load_mode=none, zero rest and NULL targets. Android v12 adds the durable flattened exercise-alias mapping used to resolve retired creator IDs. Desktop schema v12 owns the same alias compatibility boundary. Later additive desktop migrations reach v37 and Android migrations reach v34 without changing that identity contract. The active completed-session exchange is the separate strict trainlog-mobile-export V3; V1/V2 remain readable and TRAINLOG_FORMAT_V1 remains unchanged.

7. Synchronization architecture

Desktop access to Android uses physical-device discovery with libudev and direct object access with libmtp.

Do not introduce a mandatory GVFS/FUSE mount.

Canonical exchange folder:

Documents/Trainlog

The shared desktop synchronization engine is:

trainlog_sync_run()

Both the TUI and trainlog-syncd use this engine.

Android-triggered synchronization uses:

trainlog-sync-request-v1.json
trainlog-sync-receipt-v1.json

Android -> PC data uses:

trainlog-mobile-export-v3.json

V3 is the active completed-session snapshot. V1/V2 remain readable legacy inputs and TRAINLOG_FORMAT_V1 remains a separate frozen contract.

PC -> Android catalog data uses:

trainlog-pc-catalog-v1.json

8. Persistence

Desktop SQLite schema is versioned with:

PRAGMA user_version;

The current desktop schema is v37. Schema v9 added an occurrence-owned explicit maximum result; v10/v11 added body-zone and planning metadata; v12 added durable flattened exercise aliases; v13-v18 add machine metadata, feedback and revisions, occurrence tracking snapshots, causal profile state, and AI proposal storage/publication state; v19-v21 add lifecycle, causal deletion, and staged generation/ACK ledgers; v22-v24 add generation archival, manual preparations, and durable preparation withdrawal; v25 adds Programs; and v26 additively adds logical Program deletion. Later additive migrations through v37 add Sleep, heart-rate, Cardio and Program planning state. None changes TRAINLOG_FORMAT_V1.

Every incompatible schema evolution requires an explicit migration and regression coverage.

Foreign keys must be enabled.

Multi-row mutations that represent one user operation must be transactional.

9. Error handling

Trainlog prefers explicit failure over silent corruption.

Examples:

• malformed exchange JSON -> reject;
• unsupported version -> reject;
• duplicate stable ID -> idempotent skip or explicit conflict as defined;
• incompatible exercise profile -> reject;
• incomplete session -> preserve explicitly;
• failed persisted-session replacement -> rollback;
• synchronization failure -> record a meaningful diagnostic.

User-facing code must not intentionally return placeholders such as error=unknown when a specific failure can be reported.

10. Documentation

Repository documentation and publication language is:

README and canonical documentation: English
CHANGELOG and release notes: English
New or modified source comments: English
User interface: preserve its actual localization

Exact UI strings, user data, identifiers, commands, paths, protocol fields, version/status markers, citations, and historical evidence are not translated merely to satisfy the prose-language rule.

Production code, tests, fixtures expressed as source, and repository tooling must remain readable by a human reviewer. Do not compress functions, control flow, declarations, assertions, or cleanup onto one line to reduce line or token count. Grouped missions may and should use small comprehensible commits. Perform an explicit readability review before the final commit.

Readable source is a blocking acceptance criterion. Every new or modified C/H file must pass the changed-file clang-format check; tests and fixtures follow the same rule. Run tools/check_changed_c_format.sh <base-revision> without formatting unrelated historical files.

Canonical documents:

• README.md;
• docs/current_state.md;
• docs/architecture.md;
• docs/coding_style.md;
• docs/exchange_format.md;
• docs/exercise_data_model.md;
• docs/database.md;
• docs/tui.md;
• docs/android.md;
• docs/sync_exchange.md;
• docs/tests.md;
• docs/roadmap.md;
• CHANGELOG.md.

README.md is the concise repository entry point. docs/README.md is the canonical documentation index. docs/current_state.md owns current implemented status; docs/roadmap.md owns future work. Design and review records are historical evidence and must not override those current owners.

Checkpoint history belongs in Git history and docs/reviews; canonical documents describe the current state rather than accumulating obsolete NEXT sections.

Every functional change identifies the affected documentation. When relevant, reconcile docs/current_state.md, docs/roadmap.md, and CHANGELOG.md; the completion report lists updated documents or explains why none were affected. Release publication verifies both GitHub and Forgejo notes, their English language, and their correspondence with the exact tag independently of later development. A requested status in prose is never sufficient evidence for a PASS or FROZEN marker.

11. Validation

Before every meaningful push:

meson compile -C build
meson test -C build --print-errorlogs

python tools/validate_json.py
python tools/validate_import_contract.py

git diff --check
git status --short

When Android code changes:

cd android
JAVA_HOME=/usr/lib/jvm/java-17-openjdk ./gradlew assembleDebug

Run Android unit and instrumented automation on the host/emulator. The primary personal phone is reserved for manual, non-destructive install and sync smoke tests; do not run connectedDebugAndroidTest on it.

Run ASan/UBSan at meaningful C implementation checkpoints.

Hardware-dependent MTP tests remain explicit manual validations and are not required to run in CI without a connected unlocked Android device.

12. Git workflow

Forgejo is primary:

ssh://git@git.labfytools.com:2223/fy59/trainlog.git

GitHub is a mirror:

git@github.com:labfytools/trainlog.git

Do not develop directly against the GitHub mirror.

13. Definition of Done

A task is complete only when:

• behavior is implemented;
• the affected code builds without accepted warnings;
• relevant tests pass;
• new error paths are explicit;
• persistent-format changes have migrations;
• synchronization remains idempotent where applicable;
• documentation describes the resulting state;
• no known regression is intentionally left behind.

14. Training knowledge

Before domain decisions involving anatomy, biomechanics, exercise targeting, BODY ZONES, machine/exercise interpretation, substitution, MAX interpretation, workout generation or program generation, consult the project trainlog-anatomy skill, docs/domain/, the scientific catalogs in catalog/, and their cited references. Scientific knowledge is separate from runtime user data; preserve explicit uncertainty and settle scientific conclusions before encoding behavior.