trainlog/tools/import_exercise_body_zones.py

245 lines
12 KiB
Python

#!/usr/bin/env python3
"""Atomically reconcile exercise/body-zone companion v1 with a sync baseline."""
import argparse
import json
import os
import re
import sqlite3
import unicodedata
from datetime import datetime
from pathlib import Path
from trainlog_sqlite import connect_database
ROOT = Path(__file__).resolve().parents[1]
CATALOG = ROOT / "catalog/body-zones-v1.json"
class ImportFailure(RuntimeError):
pass
EXERCISE_ID_PATTERN = re.compile(
r"ex_[0-9a-f]{8}-[0-9a-f]{4}-4[0-9a-f]{3}-[89ab][0-9a-f]{3}-[0-9a-f]{12}"
)
def default_database():
return Path(os.environ.get("XDG_DATA_HOME", str(Path.home() / ".local/share"))) / "trainlog/trainlog.db"
def exact(value, keys, label):
if not isinstance(value, dict) or set(value) != keys:
raise ImportFailure(f"{label}: forme invalide")
def load_catalog():
root = json.loads(CATALOG.read_text(encoding="utf-8"))
if root.get("format") != "trainlog-body-zone-catalog" or root.get("version") != 1:
raise ImportFailure("catalogue zones v1 invalide")
return {item["zone_id"]: item for item in root["zones"]}
def state(primary, secondary):
return (primary or "") + "|" + ",".join(sorted(secondary))
def current(connection, row_id):
primary = connection.execute(
"SELECT zone_id FROM exercise_body_zones WHERE exercise_row_id=? AND role='primary'", (row_id,),
).fetchone()
secondary = [row[0] for row in connection.execute(
"SELECT zone_id FROM exercise_body_zones WHERE exercise_row_id=? AND role='secondary' ORDER BY zone_id",
(row_id,),
)]
return (None if primary is None else primary[0], secondary)
def normalize_name(value):
"""Match the desktop importer's stable normalized-name comparison."""
folded = unicodedata.normalize("NFC", value.casefold())
output = []
pending_space = False
wrote_content = False
for char in folded:
if char.isspace():
if wrote_content:
pending_space = True
continue
if pending_space:
output.append(" ")
pending_space = False
output.append(char)
wrote_content = True
normalized = "".join(output)
if not normalized:
raise ImportFailure("preuve mobile: nom d'exercice vide")
return normalized
def load_mobile_exercise_proof(path):
"""Load only the already-imported V2 definitions needed to prove aliases."""
payload = json.loads(path.read_text(encoding="utf-8"))
if payload.get("format") != "trainlog-mobile-export" or payload.get("version") != 2 or \
not isinstance(payload.get("exercises"), list):
raise ImportFailure("snapshot mobile V2 de preuve invalide")
proof = {}
for index, item in enumerate(payload["exercises"]):
if not isinstance(item, dict):
raise ImportFailure(f"preuve mobile exercises[{index}] invalide")
exercise_id = item.get("exercise_id")
name = item.get("name")
recording = item.get("recording_mode")
tracking = item.get("tracking_mode")
data_fields = item.get("data_fields")
if not isinstance(exercise_id, str) or not exercise_id or exercise_id in proof or \
not isinstance(name, str) or not name or recording not in {"sets", "continuous"} or \
tracking not in {"reps", "duration"} or isinstance(data_fields, bool) or \
not isinstance(data_fields, int) or data_fields < 0:
raise ImportFailure(f"preuve mobile exercises[{index}] invalide")
proof[exercise_id] = (normalize_name(name), recording, tracking, data_fields)
return proof
def resolve_exercise_row(connection, exercise_id, mobile_proof):
row = connection.execute(
"SELECT id FROM exercises WHERE exercise_id=?", (exercise_id,),
).fetchone()
if row is not None:
return row[0]
aliases_available = connection.execute(
"SELECT 1 FROM sqlite_master WHERE type='table' AND name='exercise_aliases'",
).fetchone() is not None
if aliases_available:
row = connection.execute(
"SELECT e.id FROM exercise_aliases a "
"JOIN exercises e ON e.exercise_id=a.canonical_exercise_id "
"WHERE a.source_exercise_id=?",
(exercise_id,),
).fetchone()
if row is not None:
return row[0]
proof = mobile_proof.get(exercise_id)
if proof is None:
raise ImportFailure(f"exercice inconnu: {exercise_id}")
normalized, recording, tracking, data_fields = proof
row = connection.execute(
"SELECT id,recording_mode,tracking_mode,data_fields FROM exercises "
"WHERE normalized_name=?", (normalized,),
).fetchone()
if row is None or row[1] != recording or row[2] != tracking or \
not ((row[3] & ~data_fields) == 0 or (data_fields & ~row[3]) == 0):
raise ImportFailure(f"preuve de réconciliation invalide: {exercise_id}")
# CONTRACT: import_mobile_export.py ran first in the same sync and removed
# only a profile-compatible duplicate. The source V2 definition proves that
# this now-absent creator ID resolves to the one normalized desktop row.
return row[0]
def replace(connection, row_id, primary, secondary):
connection.execute("DELETE FROM exercise_body_zones WHERE exercise_row_id=?", (row_id,))
if primary is not None:
connection.execute(
"INSERT INTO exercise_body_zones VALUES(?,?,'primary')", (row_id, primary),
)
connection.executemany(
"INSERT INTO exercise_body_zones VALUES(?,?,'secondary')",
[(row_id, zone_id) for zone_id in secondary],
)
def apply_body_zones(connection, parsed, mobile_proof, complete_causal_envelope=False):
"""Apply validated zone rows without owning transaction boundaries."""
supported_versions = range(11, 29)
if connection.execute("PRAGMA user_version").fetchone()[0] not in supported_versions:
raise ImportFailure("schema desktop v11-v28 requis")
if not complete_causal_envelope and connection.execute("PRAGMA user_version").fetchone()[0]>=20 and connection.execute("SELECT 1 FROM sync_causal_state WHERE target_kind='body_zone_relation' AND deleted=1 LIMIT 1").fetchone(): raise ImportFailure("causal BODY ZONES protection requires the staged artifact")
connection.execute("PRAGMA foreign_keys=ON");grouped={}
# CONTRACT: resolve complete alias groups before the first write; direct
# primary/secondary claims may be equal but are never unioned.
for exercise_id,primary,secondary in parsed:
row_id=resolve_exercise_row(connection,exercise_id,mobile_proof);incoming=(primary,secondary);group=grouped.get(row_id)
if group is None:grouped[row_id]=(exercise_id,incoming)
elif group[1]!=incoming:raise ImportFailure(f"données de zones incompatibles après résolution d'alias: {group[0]} / {exercise_id}")
planned=[]
for row_id,(exercise_id,incoming) in grouped.items():
primary,secondary=incoming;local_primary,local_secondary=current(connection,row_id);local_state=state(local_primary,local_secondary);incoming_state=state(primary,secondary)
baseline_row=connection.execute("SELECT synced_state FROM exercise_body_zone_sync WHERE exercise_row_id=?",(row_id,)).fetchone();baseline=None if baseline_row is None else baseline_row[0]
if local_state==incoming_state:action="skip"
elif baseline is not None and local_state==baseline:action="update"
elif baseline is not None and incoming_state==baseline:action="keep"
elif baseline is None and local_state=="|":action="update"
else:raise ImportFailure(f"conflit zones simultané: {exercise_id}")
planned.append((action,row_id,primary,secondary,incoming_state))
updated=skipped=kept_local=0
# WHY: aliases are compatibility identities, not extra exercises. Apply
# once per canonical row so input order cannot change the chosen payload.
for action,row_id,primary,secondary,incoming_state in planned:
if action=="keep":kept_local+=1;continue
if action=="update":replace(connection,row_id,primary,secondary);updated+=1
else:skipped+=1
connection.execute("INSERT OR REPLACE INTO exercise_body_zone_sync VALUES(?,?)",(row_id,incoming_state))
return updated,skipped,kept_local
def parse_payload(payload):
zones=load_catalog();exact(payload,{"format","version","generated_at","exercises"},"racine")
if payload["format"]!="trainlog-exercise-body-zones" or payload["version"]!=1 or isinstance(payload["version"],bool) or not isinstance(payload["generated_at"],str) or not payload["generated_at"] or not isinstance(payload["exercises"],list):raise ImportFailure("companion zones v1 invalide")
try: generated_at=datetime.fromisoformat(payload["generated_at"].replace("Z","+00:00"))
except ValueError as error:raise ImportFailure("generated_at invalide") from error
if generated_at.utcoffset() is None:raise ImportFailure("generated_at sans offset")
parsed=[];seen=set()
for index,item in enumerate(payload["exercises"]):
exact(item,{"exercise_id","primary_zone_id","secondary_zone_ids"},f"exercises[{index}]");exercise_id=item["exercise_id"];primary=item["primary_zone_id"];secondary=item["secondary_zone_ids"]
if not isinstance(exercise_id,str) or EXERCISE_ID_PATTERN.fullmatch(exercise_id) is None or exercise_id in seen:raise ImportFailure(f"exercises[{index}].exercise_id invalide")
if primary is not None and (not isinstance(primary,str) or primary not in zones):raise ImportFailure(f"exercises[{index}].primary_zone_id invalide")
if not isinstance(secondary,list) or any(not isinstance(zone,str) or zone not in zones for zone in secondary):raise ImportFailure(f"exercises[{index}].secondary_zone_ids invalide")
if len(secondary)!=len(set(secondary)) or primary in secondary:raise ImportFailure(f"exercises[{index}]: zones dupliquées")
if primary is None and secondary:raise ImportFailure(f"exercises[{index}]: secondaires sans zone principale")
if any(zones[zone]["kind"]=="group" for zone in ([primary] if primary else [])+secondary):raise ImportFailure(f"exercises[{index}]: relation parent dérivable interdite")
seen.add(exercise_id);parsed.append((exercise_id,primary,sorted(secondary)))
return parsed
def main():
parser = argparse.ArgumentParser()
parser.add_argument("input", type=Path)
parser.add_argument("--database", type=Path, default=default_database())
parser.add_argument(
"--mobile-export",
type=Path,
help="snapshot V2 importé juste avant, utilisé seulement pour prouver un ID réconcilié",
)
args = parser.parse_args()
payload = json.loads(args.input.read_text(encoding="utf-8"))
parsed = parse_payload(payload)
# A V2 snapshot is reconciliation evidence only when the caller selected
# and supplied that exact snapshot. Never discover a sibling implicitly:
# a stale V2 file must not prove IDs for a separately selected V3/V1 run.
mobile_proof = (load_mobile_exercise_proof(args.mobile_export)
if args.mobile_export is not None else {})
connection = connect_database(args.database)
try:
connection.execute("BEGIN IMMEDIATE")
updated,skipped,kept_local=apply_body_zones(connection,parsed,mobile_proof)
connection.commit()
print("EXERCISE_BODY_ZONES_IMPORT=PASS")
print(f"zones_updated={updated}")
print(f"zones_skipped={skipped}")
print(f"zones_kept_local={kept_local}")
except Exception:
connection.rollback()
raise
finally:
connection.close()
if __name__ == "__main__":
try:
main()
except Exception as error:
print(f"EXERCISE_BODY_ZONES_IMPORT=FAIL {error}")
raise SystemExit(1)