Bootstrap Trainlog project contract

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# Build directories
build/
builddir/
meson-logs/
meson-private/
# Android / Gradle
.gradle/
local.properties
**/build/
# Editors
*.swp
*.swo
*~
.idea/
.vscode/
# Local databases
*.db
*.db-shm
*.db-wal
# Local user data
data/
exports/
# Python helpers
__pycache__/
*.pyc
# Temporary files
*.tmp
*.bak

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# Trainlog Development Contract
## 1. Scope
Trainlog is composed of two applications sharing a versioned exchange format:
- a lightweight Android application for fast workout data entry;
- a Unix/Linux TUI for storage, review, analysis, and visualization.
The TUI SQLite database is the canonical long-term history.
JSON files are the exchange contract between Android and the TUI.
## 2. General development rules
Every change must respect the following rules:
1. behavior is defined before implementation;
2. code must be readable and deterministic;
3. errors must be handled explicitly;
4. user data must never be silently discarded;
5. persistent formats must be versioned;
6. importing the same data repeatedly must not create duplicates;
7. every new feature must be documented;
8. affected tests must be added or updated;
9. compiler warnings are treated as defects unless explicitly justified;
10. an undocumented or untested feature is not considered complete.
## 3. TUI
The TUI is implemented in C17.
Planned dependencies:
- ncursesw;
- SQLite3;
- a deliberately selected JSON library;
- Meson;
- Ninja.
The business logic, persistence layer, and ncurses rendering layer must remain separated.
SQLite calls must not be scattered through rendering code.
Important business rules must not depend directly on ncurses.
## 4. Android
The Android application is a data-entry client.
It must remain intentionally simple and must not become the primary analytics or historical store.
It must support:
- starting a workout session;
- automatic recording of the start time;
- selecting or creating an exercise;
- entering planned sets and repetitions;
- entering actual sets and repetitions;
- entering load;
- entering planned rest time;
- entering body weight and supported measurements;
- automatic recording of the end time;
- exporting a valid Trainlog JSON file.
## 5. Documentation
Documentation is mandatory.
Primary documents:
- `README.md`: user-facing project overview;
- `docs/architecture.md`: architecture and component boundaries;
- `docs/coding_style.md`: coding and commenting conventions;
- `docs/exchange_format.md`: JSON exchange contract;
- `docs/database.md`: SQLite schema and migration policy;
- `docs/tui.md`: TUI behavior and visual rules;
- `docs/android.md`: Android behavior and scope;
- `docs/tests.md`: validation strategy and commands;
- `docs/roadmap.md`: implementation order and gates.
A behavior change must update the relevant documentation in the same change.
## 6. Code comments
Comments are mandatory when code expresses:
- an invariant;
- a format constraint;
- an architectural decision;
- non-obvious logic;
- special error handling;
- a public API;
- an important data structure;
- an assumption required for correctness.
Comments must not merely restate obvious code.
Prefer explaining why a decision exists when the reason is not obvious from the code.
## 7. Exchange format
The Trainlog format is versioned.
Each workout export must contain:
- a format identifier;
- a schema version;
- a unique session identifier;
- ISO 8601 timestamps including an explicit UTC offset.
Exercise identifiers are stable and permanent.
An exercise display name may change without changing its identifier.
Imports must be idempotent.
A published format version must never receive an incompatible semantic change.
## 8. TUI visual rules
The TUI uses color when it improves understanding.
Color must never be the sole carrier of information.
Important states must remain understandable in monochrome terminals.
Colors must be centralized in a dedicated theme module.
The TUI must use `ncursesw` and handle UTF-8 correctly.
Raw ANSI escape sequences are forbidden in ncurses rendering code unless explicitly documented and justified.
## 9. Database
SQLite is the canonical TUI store.
The database schema must be versioned.
Incompatible schema evolution requires an explicit migration.
Integrity constraints must be used where appropriate, including:
- foreign keys;
- unique identifiers;
- anti-duplication constraints.
## 10. Validation
Before every meaningful push:
- build;
- run tests;
- verify formatting;
- verify compiler warnings;
- validate JSON examples against the schema;
- verify documentation impacted by the change.
The repository must not knowingly be pushed in a broken state.
## 11. Git workflow
Forgejo is the primary repository.
Primary remote:
`ssh://git@git.labfytools.com:2223/fy59/trainlog.git`
GitHub is a mirror:
`git@github.com:labfytools/trainlog.git`
Normal development must push to Forgejo.
Do not develop directly against the GitHub mirror.
## 12. Definition of Done
A task is complete only when:
- the expected behavior is implemented;
- the code builds without accepted warnings;
- relevant tests pass;
- new error paths are handled;
- documentation is current;
- examples and schemas are updated when required;
- no known regression is intentionally left behind.

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# Changelog
All notable changes to Trainlog will be documented in this file.
The project uses a simple pre-release changelog during early development.
## Unreleased
### Added
- Initial repository structure.
- Development contract.
- Architecture documentation.
- Coding-style rules.
- Exchange-format v1 draft.
- JSON Schema draft for Trainlog v1.
- Initial example workout export.
- Database, TUI, Android, testing, and roadmap documentation.

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If the Program specifies that a proxy can decide which future
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END OF TERMS AND CONDITIONS
How to Apply These Terms to Your New Programs
If you develop a new program, and you want it to be of the greatest
possible use to the public, the best way to achieve this is to make it
free software which everyone can redistribute and change under these terms.
To do so, attach the following notices to the program. It is safest
to attach them to the start of each source file to most effectively
state the exclusion of warranty; and each file should have at least
the "copyright" line and a pointer to where the full notice is found.
<one line to give the program's name and a brief idea of what it does.>
Copyright (C) <year> <name of author>
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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Also add information on how to contact you by electronic and paper mail.
If the program does terminal interaction, make it output a short
notice like this when it starts in an interactive mode:
<program> Copyright (C) <year> <name of author>
This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
This is free software, and you are welcome to redistribute it
under certain conditions; type `show c' for details.
The hypothetical commands `show w' and `show c' should show the appropriate
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might be different; for a GUI interface, you would use an "about box".
You should also get your employer (if you work as a programmer) or school,
if any, to sign a "copyright disclaimer" for the program, if necessary.
For more information on this, and how to apply and follow the GNU GPL, see
<https://www.gnu.org/licenses/>.
The GNU General Public License does not permit incorporating your program
into proprietary programs. If your program is a subroutine library, you
may consider it more useful to permit linking proprietary applications with
the library. If this is what you want to do, use the GNU Lesser General
Public License instead of this License. But first, please read
<https://www.gnu.org/licenses/why-not-lgpl.html>.

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# Trainlog
Trainlog is a local-first workout log composed of:
- a lightweight Android data-entry application;
- a colorful Unix/Linux TUI for history, statistics, graphs, and progress tracking.
## Project goals
Android is optimized for fast use during a workout:
- start and end time;
- exercise selection;
- new exercise creation;
- planned sets and repetitions;
- actual sets and repetitions;
- load;
- rest time;
- body weight;
- body measurements;
- JSON export.
The TUI is the main application:
- import Android exports;
- create sessions directly from the terminal;
- maintain the canonical exercise catalog;
- maintain SQLite history;
- display workout history;
- track body weight;
- track body measurements;
- track performance;
- display colorful terminal graphs;
- export data for external use.
## Architecture
```text
Android
|
| Trainlog JSON
v
Trainlog TUI
|
v
SQLite
```
The TUI SQLite database is the canonical long-term store.
The JSON exchange format is versioned and designed for idempotent imports.
## Repository layout
```text
android/ Android application
tui/ C17 ncursesw application
docs/ Canonical project documentation
format/ JSON schema and exchange-format material
examples/ Valid exchange examples
tools/ Development and validation tools
```
## Development principles
- local-first;
- no mandatory cloud account;
- user-owned data;
- versioned persistent formats;
- stable exercise identifiers;
- idempotent imports;
- documentation and tests are part of every feature;
- clear separation between UI, business logic, and persistence.
See `AGENTS.md` for the development contract.

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# Android Application
## 1. Purpose
The Android application is a lightweight training-session recorder.
Its design priority is low-friction data entry during a workout.
## 2. Session flow
Expected flow:
```text
Start session
|
v
record started_at
|
v
add exercises and targets
|
v
record actual sets
|
v
optional body data
|
v
Finish session
|
v
record ended_at
|
v
export Trainlog JSON
```
## 3. Exercise catalog
The application maintains a local exercise catalog for selection.
The user must not need to retype the same exercise every session.
When a new exercise is created:
- generate a stable `exercise_id`;
- store the display name;
- use that same identifier in future sessions;
- include the exercise catalog entry in exported files as required.
## 4. Planned work
The basic exercise form supports:
- number of sets;
- repetitions or timed duration;
- load when relevant;
- rest duration.
Example:
```text
4 sets
5 repetitions
80 kg
60 seconds rest
```
## 5. Actual work
The UI should pre-populate performed sets from the target when convenient.
The user only needs to edit differences.
Example target:
```text
5 / 5 / 5 / 5
```
Actual:
```text
5 / 5 / 5 / 3
```
The exported file must preserve both target and actual values.
## 6. Timestamps
`started_at` is recorded automatically when the session starts.
`ended_at` is recorded automatically when the session ends.
The UI may later allow explicit correction for forgotten starts or stops, but such correction must be visible to the user.
## 7. Export
The application exports valid Trainlog JSON.
It must not silently export malformed or incomplete data.
The application must validate required fields before final export.
## 8. Non-goals
Initial Android versions do not need:
- advanced analytics;
- complex charts;
- a cloud account;
- a remote database;
- social features.

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# Architecture
## 1. Purpose
Trainlog separates capture from analysis.
The Android application is optimized for fast data entry during training.
The TUI is optimized for durable storage, inspection, statistics, and visualization.
## 2. Components
### Android client
Responsibilities:
- start a session;
- record the session start timestamp;
- select an existing exercise;
- create a new exercise;
- record workout targets;
- record actual performed sets;
- record rest duration;
- record body data;
- record the session end timestamp;
- export one valid Trainlog JSON document.
Non-responsibilities:
- long-term analytics;
- canonical history;
- complex graphing;
- cloud synchronization.
### Exchange format
The exchange format is the compatibility boundary between Android and the TUI.
It is:
- JSON;
- UTF-8;
- versioned;
- self-contained enough to import newly created exercises;
- designed for idempotent import.
### TUI
Responsibilities:
- import Trainlog JSON;
- reject malformed or incompatible input cleanly;
- deduplicate sessions;
- maintain the canonical exercise catalog;
- create workouts directly from the terminal;
- maintain SQLite history;
- calculate progress metrics;
- render graphs and summaries;
- export data when needed.
### SQLite store
SQLite is the canonical local history.
The database must use:
- foreign keys;
- uniqueness constraints;
- schema versioning;
- explicit migration rules.
## 3. Data flow
```text
Android
|
| export
v
Trainlog JSON
|
| import + validation
v
TUI application
|
| persistence
v
SQLite
```
## 4. Identity rules
Exercises have:
- a stable machine identifier: `exercise_id`;
- a mutable display name: `name`.
The display name is not the identity.
Sessions have:
- a globally unique `session_id`.
A second import of the same `session_id` must not duplicate the session.
## 5. Separation rules for the TUI
The C17 TUI will be split into layers:
```text
ncursesw rendering
|
v
TUI state / navigation
|
v
application services
|
+---- exchange-format parser
|
+---- analytics
|
v
SQLite persistence
```
The rendering layer must not own business rules.
The persistence layer must not depend on ncurses.
## 6. Error philosophy
Trainlog must prefer explicit failure over silent corruption.
Examples:
- malformed JSON: reject import with a precise error;
- unsupported format version: reject import;
- duplicate session: report already imported, do not duplicate;
- unknown exercise: import it when valid catalog data is present;
- incomplete active session: preserve it explicitly rather than silently inventing an end time.

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# Coding Style
## 1. General rules
Code must optimize for readability, correctness, and maintainability.
Avoid clever code when a straightforward implementation is easier to verify.
## 2. C standard
The TUI uses C17.
The project will initially target a strict warning profile similar to:
```text
-Wall
-Wextra
-Wpedantic
-Wconversion
-Wshadow
-Wformat=2
```
Warnings must be reviewed individually.
Do not disable a warning globally merely to hide one inconvenient case.
## 3. Naming
Public symbols use a `trainlog_` prefix.
Examples:
```c
trainlog_database_open(...)
trainlog_session_import(...)
```
Internal static functions use descriptive snake_case names.
Types use descriptive names and avoid unnecessary abbreviations.
## 4. Functions
Functions should:
- have one clear purpose;
- validate arguments when required by their contract;
- return explicit status values;
- avoid hidden global state.
Prefer small composable functions over long functions mixing unrelated responsibilities.
## 5. Comments
Comments are required for:
- public interfaces;
- invariants;
- non-obvious behavior;
- important ownership rules;
- format assumptions;
- error-handling decisions;
- algorithms whose intent is not immediately obvious.
Bad:
```c
i++; /* Increment i. */
```
Good:
```c
/*
* Keep the external exercise identifier unchanged after creation.
* Historical session rows refer to this stable identifier even when
* the user later renames the exercise.
*/
```
## 6. Formatting
The project will use `clang-format`.
A canonical `.clang-format` file will be added before substantial C implementation.
Formatting changes should not be mixed with unrelated semantic changes when avoidable.
## 7. Error handling
Do not silently ignore errors.
Do not use process termination for normal recoverable library errors.
Return explicit status codes from internal APIs where practical.
User-facing errors must be understandable and actionable.
## 8. Ownership
Every API that allocates, borrows, or transfers ownership must document that behavior.
Do not rely on ambiguous lifetime assumptions.
## 9. Integer and conversion safety
Avoid implicit narrowing conversions.
Validate external numeric input before conversion.
Use types appropriate to the stored range and document any format bounds.
## 10. Kotlin
The Android side should favor:
- immutable data where practical;
- explicit state transitions;
- small view models;
- no unnecessary framework abstraction;
- clear serialization types matching the Trainlog JSON contract.

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# Database
## 1. Purpose
SQLite is the canonical long-term data store used by the TUI.
The database is not the Android exchange format.
## 2. Initial entities
The initial data model is expected to contain:
- schema metadata;
- exercises;
- sessions;
- session exercises;
- performed sets;
- body measurements;
- optional maximum-performance records.
The exact SQL schema will be frozen before implementation.
## 3. Exercise identity
The database must preserve a stable external exercise identifier.
Conceptually:
```text
exercises
id internal SQLite primary key
exercise_id stable Trainlog identifier
name mutable display name
```
`exercise_id` must be unique.
## 4. Session identity
`session_id` must be unique.
This is the primary anti-duplication barrier for imported sessions.
## 5. Foreign keys
SQLite foreign-key enforcement must be enabled explicitly for every connection:
```sql
PRAGMA foreign_keys = ON;
```
Tests must verify that the expected constraints are actually active.
## 6. Schema versioning
The database must store an explicit schema version.
Schema changes must be classified as:
- additive and compatible;
- migration required;
- destructive and therefore forbidden without explicit migration logic.
## 7. Transactions
Multi-table imports must use transactions.
A failed import must not leave a partially inserted session.
Expected behavior:
```text
BEGIN
validate
insert missing exercises
insert session
insert workout rows
insert performed sets
COMMIT
```
On failure:
```text
ROLLBACK
```
## 8. Units
Canonical storage units:
- body weight: kilograms;
- load: kilograms;
- body measurements: centimeters;
- duration: seconds.
The UI may format values differently later, but persistent units remain explicit and stable.
## 9. Migration policy
A schema migration must:
- be deterministic;
- preserve user data;
- be testable from the previous supported version;
- update the stored schema version only after success.

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# Trainlog Exchange Format v1
## 1. Status
This document defines the initial Trainlog v1 exchange contract.
Until explicitly marked `FROZEN`, incompatible changes are allowed during early development.
Once frozen, incompatible changes require a new format version.
## 2. Encoding
A Trainlog exchange document is:
- JSON;
- UTF-8;
- one top-level JSON object.
## 3. Required top-level fields
```json
{
"format": "trainlog",
"version": 1,
"exercises": [],
"session": {}
}
```
### `format`
Must equal:
```text
trainlog
```
### `version`
Integer schema version.
For this document:
```text
1
```
## 4. Exercise catalog entries
Each exercise entry contains:
```json
{
"exercise_id": "leg_press",
"name": "Presse à cuisses"
}
```
### `exercise_id`
Stable identifier.
Rules:
- non-empty;
- unique within the document;
- treated as identity;
- must not change merely because the display name changes.
### `name`
Human-readable display name.
The TUI may update the local display name later without changing `exercise_id`.
## 5. Session
Required fields:
- `session_id`;
- `started_at`;
- `ended_at`;
- `exercises`.
Optional body fields may include:
- `body_weight_kg`;
- `measurements`.
## 6. Session identifier
Example:
```text
20260905-183412-a84c
```
The exact generation algorithm is implementation-defined in v1.
The invariant is uniqueness.
The TUI must enforce uniqueness at import.
## 7. Timestamps
Timestamps use ISO 8601 with an explicit UTC offset.
Example:
```text
2026-09-05T18:34:12+02:00
```
The timezone offset is part of the serialized value.
The TUI must not silently reinterpret a timestamp as local time without using the encoded offset.
## 8. Workout exercise entry
Example:
```json
{
"exercise_id": "leg_press",
"rest_seconds": 60,
"target": {
"sets": 4,
"reps": 5,
"weight_kg": 80
},
"sets": [
{ "reps": 5, "weight_kg": 80 },
{ "reps": 5, "weight_kg": 80 },
{ "reps": 5, "weight_kg": 80 },
{ "reps": 3, "weight_kg": 80 }
]
}
```
The `target` object describes the intended work.
The `sets` array describes what was actually performed.
These two concepts must remain distinct.
## 9. Timed exercises
Timed exercises such as planks use `duration_seconds`.
Example:
```json
{
"exercise_id": "plank",
"rest_seconds": 60,
"target": {
"sets": 3,
"duration_seconds": 45
},
"sets": [
{ "duration_seconds": 45 },
{ "duration_seconds": 45 },
{ "duration_seconds": 38 }
]
}
```
A set may represent repetitions or duration.
The schema forbids an empty set object.
## 10. Body measurements
The initial v1 measurement object supports named measurements in centimeters.
Example:
```json
{
"measurements": {
"waist_cm": 91.0,
"chest_cm": 104.0,
"left_arm_cm": 35.0,
"right_arm_cm": 35.0,
"left_thigh_cm": 58.0,
"right_thigh_cm": 57.0
}
}
```
The initial schema intentionally uses explicit field names rather than arbitrary free-form keys.
Additional measurements may be added before v1 is frozen.
## 11. Idempotent import
The TUI must treat `session_id` as a uniqueness key.
If a session has already been imported:
- do not create another session;
- do not duplicate its sets;
- report that the session already exists.
## 12. New exercises
When Android exports a session containing an exercise unknown to the TUI:
1. the exercise must exist in the top-level `exercises` array;
2. its `exercise_id` must be valid;
3. its `name` must be non-empty;
4. the TUI imports the catalog entry;
5. the session may then reference that exercise.
## 13. Unknown fields
Before v1 is frozen, implementations may reject unknown fields during development to catch mistakes early.
The final forward-compatibility policy will be frozen explicitly before release.

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# Roadmap
## Gate 0 — Project contract
Status: IN PROGRESS
Deliverables:
- repository structure;
- development contract;
- architecture documentation;
- coding-style documentation;
- exchange-format v1 draft;
- JSON Schema draft;
- valid example fixture.
Exit criteria:
- documentation reviewed;
- JSON example validates against the schema;
- repository clean after commit.
## Gate 1 — Exchange format v1 freeze
Deliverables:
- complete field list;
- exercise identity rules;
- session identity rules;
- repetitions and timed-set representation;
- rest representation;
- body weight;
- measurement list;
- unknown-field policy;
- invalid fixture suite.
Exit criteria:
- `TRAINLOG_FORMAT_V1=FROZEN`;
- schema tests pass;
- Android and TUI can implement against the contract without ambiguity.
## Gate 2 — TUI persistence core
Deliverables:
- Meson C17 project;
- SQLite open/create;
- schema versioning;
- exercise catalog;
- session import transaction;
- idempotent import tests.
Exit criteria:
- database tests pass;
- sanitizer validation passes.
## Gate 3 — Minimal TUI
Deliverables:
- ncursesw initialization;
- theme module;
- dashboard shell;
- exercise list;
- session history;
- import screen;
- minimum-terminal fallback.
Exit criteria:
- usable color TUI;
- monochrome fallback;
- UTF-8 test pass.
## Gate 4 — Android recorder
Deliverables:
- local exercise catalog;
- start/stop session timestamps;
- target entry;
- actual-set entry;
- rest entry;
- body data;
- JSON export.
Exit criteria:
- exported fixture validates against frozen v1;
- exported file imports successfully into the TUI.
## Gate 5 — Analytics
Deliverables:
- body-weight trend;
- measurement trend;
- exercise performance trend;
- training volume summaries;
- terminal graphs.
## Gate 6 — Hardening
Deliverables:
- broader fixture coverage;
- migrations;
- import/export robustness;
- documentation cleanup;
- packaging;
- first tagged release.

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# Tests and Validation
## 1. Principle
A feature is not complete without its relevant validation.
## 2. Validation layers
Trainlog will use:
- unit tests;
- integration tests;
- JSON Schema validation;
- database constraint tests;
- TUI smoke tests;
- sanitizer builds where practical.
## 3. Exchange-format tests
The repository must contain valid and invalid fixtures.
Valid fixtures must pass the schema.
Invalid fixtures should cover:
- missing required fields;
- duplicate exercise identifiers;
- invalid timestamps;
- invalid negative values;
- empty set data;
- malformed targets;
- unsupported format version.
## 4. Database tests
Tests must verify:
- foreign keys are active;
- duplicate `session_id` is rejected or handled idempotently;
- duplicate `exercise_id` is rejected;
- failed imports roll back completely;
- migrations preserve data.
## 5. C validation
Initial build validation should include:
```text
normal build
strict warning build
ASan/UBSan build
```
Exact commands will be frozen when `meson.build` exists.
## 6. TUI tests
At minimum:
- application starts in a supported terminal;
- small-terminal fallback works;
- navigation does not corrupt state;
- UTF-8 labels render correctly;
- monochrome fallback remains understandable.
## 7. Pre-push checklist
Before a meaningful push:
1. format code;
2. build;
3. run tests;
4. validate JSON fixtures;
5. run sanitizer suite when relevant;
6. run `git diff --check`;
7. inspect `git status`;
8. update documentation.

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# TUI
## 1. Purpose
The Trainlog TUI is the primary history, analysis, and visualization application.
It is implemented in C17 with `ncursesw`.
## 2. Primary screens
Initial screen plan:
- Dashboard;
- Sessions;
- New session;
- Exercises;
- Body;
- Import.
The final key bindings will be frozen before implementation.
## 3. Color
The TUI should be visually rich but remain readable.
Color is used to reinforce meaning, never as the only indicator.
Conceptual roles:
- accent: titles, active selection, highlighted metrics;
- success: completed target;
- warning: partial target or attention state;
- error: invalid input or failed operation;
- muted: secondary information;
- graph series: consistent distinguishable colors.
All color pairs must be centralized in a theme module.
Do not scatter raw `COLOR_*` decisions throughout screens.
## 4. Monochrome fallback
Every meaningful color state must also have a textual or symbolic representation.
Examples:
```text
✓ completed
! warning
x failed
> selected
```
## 5. UTF-8
The TUI uses wide-character ncurses support.
The implementation must initialize locale correctly before ncurses use.
Rendering must be tested with accented French text and common symbols.
## 6. Dashboard
The dashboard should eventually show:
- current body weight;
- recent body-weight change;
- number of sessions in a selected period;
- total training duration;
- recent performance highlights;
- compact terminal graphs.
## 7. New session
The TUI must be able to record a workout directly, using the same logical exercise catalog as Android.
A typical exercise form contains:
- exercise;
- target sets;
- target repetitions or duration;
- target load when relevant;
- rest duration;
- actual performed sets.
## 8. Graphs
Graphs must be terminal-native.
Possible graph types:
- weight trend;
- measurement trend;
- exercise load trend;
- estimated or measured max trend;
- training volume trend.
Graphs should adapt to terminal size.
## 9. Minimum terminal size
A minimum supported terminal size will be defined during the first TUI milestone.
Below the minimum size, Trainlog must display a clear message instead of rendering a broken layout.
## 10. Input safety
The TUI must validate numeric fields before committing data.
Invalid input must not partially modify persistent state.

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{
"format": "trainlog",
"version": 1,
"exercises": [
{
"exercise_id": "leg_press",
"name": "Presse à cuisses"
},
{
"exercise_id": "plank",
"name": "Gainage ventral"
}
],
"session": {
"session_id": "20260905-183412-a84c",
"started_at": "2026-09-05T18:34:12+02:00",
"ended_at": "2026-09-05T19:27:48+02:00",
"body_weight_kg": 82.4,
"measurements": {
"waist_cm": 91.0,
"chest_cm": 104.0,
"left_arm_cm": 35.0,
"right_arm_cm": 35.0
},
"exercises": [
{
"exercise_id": "leg_press",
"rest_seconds": 60,
"target": {
"sets": 4,
"reps": 5,
"weight_kg": 80
},
"sets": [
{
"reps": 5,
"weight_kg": 80
},
{
"reps": 5,
"weight_kg": 80
},
{
"reps": 5,
"weight_kg": 80
},
{
"reps": 3,
"weight_kg": 80
}
]
},
{
"exercise_id": "plank",
"rest_seconds": 60,
"target": {
"sets": 3,
"duration_seconds": 45
},
"sets": [
{
"duration_seconds": 45
},
{
"duration_seconds": 45
},
{
"duration_seconds": 38
}
]
}
]
}
}

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# Trainlog Format
This directory contains machine-readable definitions of the Trainlog exchange format.
Current draft:
- `trainlog-v1.schema.json`
Canonical human-readable semantics live in:
- `docs/exchange_format.md`
The schema is a structural validator.
Semantic rules that JSON Schema cannot safely express remain documented and must be tested in application code.
Before Trainlog v1 is frozen, schema changes are allowed.
After `TRAINLOG_FORMAT_V1=FROZEN`, incompatible changes require a new version.

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{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "https://labfytools.com/trainlog/schema/trainlog-v1.schema.json",
"title": "Trainlog Exchange Format v1",
"type": "object",
"additionalProperties": false,
"required": [
"format",
"version",
"exercises",
"session"
],
"properties": {
"format": {
"const": "trainlog"
},
"version": {
"const": 1
},
"exercises": {
"type": "array",
"items": {
"$ref": "#/$defs/exerciseCatalogEntry"
}
},
"session": {
"$ref": "#/$defs/session"
}
},
"$defs": {
"exerciseId": {
"type": "string",
"minLength": 1,
"maxLength": 128,
"pattern": "^[a-z0-9][a-z0-9_-]*$"
},
"exerciseCatalogEntry": {
"type": "object",
"additionalProperties": false,
"required": [
"exercise_id",
"name"
],
"properties": {
"exercise_id": {
"$ref": "#/$defs/exerciseId"
},
"name": {
"type": "string",
"minLength": 1,
"maxLength": 200
}
}
},
"set": {
"type": "object",
"additionalProperties": false,
"properties": {
"reps": {
"type": "integer",
"minimum": 1,
"maximum": 10000
},
"duration_seconds": {
"type": "integer",
"minimum": 1,
"maximum": 86400
},
"weight_kg": {
"type": "number",
"minimum": 0,
"maximum": 5000
}
},
"anyOf": [
{
"required": [
"reps"
]
},
{
"required": [
"duration_seconds"
]
}
]
},
"target": {
"type": "object",
"additionalProperties": false,
"required": [
"sets"
],
"properties": {
"sets": {
"type": "integer",
"minimum": 1,
"maximum": 1000
},
"reps": {
"type": "integer",
"minimum": 1,
"maximum": 10000
},
"duration_seconds": {
"type": "integer",
"minimum": 1,
"maximum": 86400
},
"weight_kg": {
"type": "number",
"minimum": 0,
"maximum": 5000
}
},
"anyOf": [
{
"required": [
"reps"
]
},
{
"required": [
"duration_seconds"
]
}
]
},
"sessionExercise": {
"type": "object",
"additionalProperties": false,
"required": [
"exercise_id",
"rest_seconds",
"target",
"sets"
],
"properties": {
"exercise_id": {
"$ref": "#/$defs/exerciseId"
},
"rest_seconds": {
"type": "integer",
"minimum": 0,
"maximum": 86400
},
"target": {
"$ref": "#/$defs/target"
},
"sets": {
"type": "array",
"minItems": 1,
"maxItems": 1000,
"items": {
"$ref": "#/$defs/set"
}
}
}
},
"measurements": {
"type": "object",
"additionalProperties": false,
"properties": {
"waist_cm": {
"type": "number",
"exclusiveMinimum": 0,
"maximum": 500
},
"chest_cm": {
"type": "number",
"exclusiveMinimum": 0,
"maximum": 500
},
"shoulders_cm": {
"type": "number",
"exclusiveMinimum": 0,
"maximum": 500
},
"left_arm_cm": {
"type": "number",
"exclusiveMinimum": 0,
"maximum": 500
},
"right_arm_cm": {
"type": "number",
"exclusiveMinimum": 0,
"maximum": 500
},
"left_thigh_cm": {
"type": "number",
"exclusiveMinimum": 0,
"maximum": 500
},
"right_thigh_cm": {
"type": "number",
"exclusiveMinimum": 0,
"maximum": 500
},
"left_calf_cm": {
"type": "number",
"exclusiveMinimum": 0,
"maximum": 500
},
"right_calf_cm": {
"type": "number",
"exclusiveMinimum": 0,
"maximum": 500
}
}
},
"session": {
"type": "object",
"additionalProperties": false,
"required": [
"session_id",
"started_at",
"ended_at",
"exercises"
],
"properties": {
"session_id": {
"type": "string",
"minLength": 1,
"maxLength": 128
},
"started_at": {
"type": "string",
"format": "date-time"
},
"ended_at": {
"type": "string",
"format": "date-time"
},
"body_weight_kg": {
"type": "number",
"exclusiveMinimum": 0,
"maximum": 1000
},
"measurements": {
"$ref": "#/$defs/measurements"
},
"exercises": {
"type": "array",
"minItems": 1,
"maxItems": 1000,
"items": {
"$ref": "#/$defs/sessionExercise"
}
}
}
}
}
}

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#!/usr/bin/env python3
"""Validate Trainlog JSON fixtures against the canonical JSON Schema."""
from __future__ import annotations
import json
import sys
from pathlib import Path
try:
import jsonschema
except ImportError:
print(
"error: missing Python dependency 'jsonschema'\n"
"install it with: python -m pip install --user jsonschema",
file=sys.stderr,
)
raise SystemExit(2)
ROOT = Path(__file__).resolve().parents[1]
SCHEMA_PATH = ROOT / "format" / "trainlog-v1.schema.json"
def load_json(path: Path) -> object:
"""Load one UTF-8 JSON file and return its decoded value."""
with path.open("r", encoding="utf-8") as handle:
return json.load(handle)
def main(argv: list[str]) -> int:
"""Validate one or more Trainlog JSON files."""
schema = load_json(SCHEMA_PATH)
targets = [Path(arg) for arg in argv[1:]]
if not targets:
targets = [ROOT / "examples" / "session-v1.json"]
validator = jsonschema.Draft202012Validator(
schema,
format_checker=jsonschema.FormatChecker(),
)
failed = False
for path in targets:
try:
document = load_json(path)
except (OSError, json.JSONDecodeError) as exc:
print(f"FAIL {path}: {exc}")
failed = True
continue
errors = sorted(validator.iter_errors(document), key=lambda e: list(e.path))
if errors:
print(f"FAIL {path}")
for error in errors:
location = ".".join(str(part) for part in error.absolute_path)
if not location:
location = "<root>"
print(f" {location}: {error.message}")
failed = True
else:
print(f"PASS {path}")
return 1 if failed else 0
if __name__ == "__main__":
raise SystemExit(main(sys.argv))

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