utils/crdt-sync
Krzysztof kuhy Rudnicki ae29e67e28 Seed todo-mcp desktop session by default
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
2026-11-02 10:25:15 +01:00
..
crdt_sync Seed todo-mcp desktop session by default 2026-11-02 10:25:15 +01:00
tool Seed todo-mcp desktop session by default 2026-11-02 10:25:15 +01:00
.pre-commit-config.yaml deps(pypi): newest stable pins in every Python subproject 2026-10-22 21:42:26 +02:00
LICENSE Initial implementation: unified CRDT merge scheme + GitHub sync transport 2026-07-05 20:40:09 +02:00
pyproject.toml crdt-sync 0.9.2: per-write temp file for the Firebase credential cache 2026-10-09 19:05:10 +02:00
README.md Docs: correct stale 'not yet consumed' notes and old install URLs 2026-07-11 23:31:41 +02:00
requirements.txt deps(pypi): newest stable pins in every Python subproject 2026-10-22 21:42:26 +02:00

crdt-sync

Shared CRDT merge scheme + GitHub-Contents-API sync transport, extracted for reuse across four personal apps that each need cross-device sync: todo, diet_guard, wake_alarm, and screen-locker.

Why

Two of those apps (diet_guard, and independently todo) had already converged on the same shape of solution: treat a private GitHub repo as dumb file storage via the REST Contents API (not a git clone), have each device push its own file, and merge on read. diet_guard's merge logic (entry-id-keyed, tombstone-wins) and todo's merge logic (sqlite_crdt's per-field HLC last-writer-wins) solve the same underlying problem — convergent merge without a central server — for two different data shapes (append-only logs vs. mutable per-field records). crdt-sync generalizes both into one scheme so all four apps can share it, at the cost of todo's notes and wake_alarm's single wake-time value both running through CRDT machinery their own data doesn't strictly need — an explicit consistency-over-leanness tradeoff.

The merge scheme

A generic LWW-map-with-sticky-remove, built from three pieces:

  • Hlc — a Hybrid Logical Clock: (wall_time_ms, counter, node_id), totally ordered by tuple comparison (node_id breaks ties between two clocks with identical wall time and counter, so no two distinct devices' clocks ever compare equal). Hlc.new_tick(node_id, previous) advances off wall-clock time, or bumps counter when the wall clock hasn't moved past previous — the standard HLC construction, guaranteeing monotonicity even across clock skew or two ticks in the same millisecond.
  • Record — id, a fields map of name -> (value, Hlc), and a sticky deleted flag. merge_field keeps whichever side's Hlc is greater, per field — this is what lets two devices concurrently edit different fields of the same record (or the same field) and converge deterministically without a central authority. merge_record's deleted is not itself per-field LWW: it's a.deleted or b.deleted, monotonic and one-directional. This preserves a guarantee diet_guard's original tombstone scheme already relied on — a delete can never be silently undone by merging in an older non-deleted copy pulled from a device that hasn't seen the delete yet.
  • Log = dict[id, Record]. merge_logs takes the union of ids and merge_records the ones present on both sides.

All three merges are commutative and idempotent (provable directly from max-by-Hlc and boolean-or), so pull order between devices never matters and a repeated sync tick is a no-op — see crdt_sync/tests/test_log.py's property-style cases for the concrete proof.

Per-app adapters are out of scope for this library. Translating a Note, a FoodEntry, a workout entry, or wake_alarm's {hour, minute} value to and from Record is each app's own job — keeping this library domain-agnostic is what makes it actually shared, rather than shaped around one app's schema.

Install

pip install "crdt-sync @ git+https://github.com/kuhyx/utils@crdt-sync-v0.2.0#subdirectory=crdt-sync"

Usage

from crdt_sync import GitHubSyncClient, Hlc, Record, sync_log

node_id = "pc"
clock = Hlc.new_tick(node_id)
record = Record(id="abc123", fields={"text": ("buy milk", clock)}, deleted=False)

client = GitHubSyncClient(owner="kuhyx", repo="my-app-sync", token=token)
result = sync_log(
    client=client,
    device_id=node_id,
    path_prefix="devices",
    local_log={record.id: record},
    encode=lambda log: json.dumps({k: r.to_dict() for k, r in log.items()}),
    decode=lambda text: {
        k: Record.from_dict(v) for k, v in json.loads(text).items()
    },
)

sync_log pulls every other device's last-pushed log from <path_prefix>/<other-device-id>/..., merges each into the local log with merge_logs, then pushes this device's own merged result back up — the same pull-all/merge/push-own pattern diet_guard's _sync.py already used, made domain-agnostic via the encode/decode callbacks so callers keep their own on-disk JSON shape instead of crdt-sync dictating one.

Local persistence

For persisting a Log to disk, crdt_sync ships load/save helpers that share a canonical on-disk JSON shape with the Dart crdt_sync_dart.LogStore, so a log written by one language parses in the other:

from crdt_sync import dump_log, load_log, read_log, write_log

write_log(path, log)          # atomic temp-file-then-rename
log = read_log(path)          # empty on a missing or corrupt file
text = dump_log(log)          # -> canonical JSON string
log = load_log(text)          # <- parse it back

These are load/save only. The Dart side additionally offers a reactive LogStore (a change stream to drive a live UI); that's a Flutter-only convenience and has no Python equivalent by design — Python consumers here are headless sync ticks.

Development

python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
pytest
pre-commit install && pre-commit install --hook-type pre-push