Files
context-continuity/venv.old-py38/lib/python3.9/site-packages/loguru/_recattrs.py
T
Master 943acbc573 feat: referentiel projets dynamique + validation nommage by design
Durcit la convention de nommage des projets (dérive constatée : 'Sliding
Automation', 'code_versioning'... au lieu des formes canoniques).

- trilium_api.py : projets_canoniques() lit le référentiel = valeurs du label
  projet sur les notes de type=projet (source unique, pas de constante en dur).
  Note-projet CodeVersioning créée (manquait).
- mcp_server.py : _valider_projet() branché dans les 6 tools de création
  (add_decision/history/backlog, new_conversation, create_entite, add_skill).
  Refuse un projet non canonique (suggestion si faute) ou inconnu (renvoi au
  processus de création de projet). Ne verrouille pas si référentiel illisible.
- lint_audit.py : VAL-nommage aligné sur le référentiel (attrape casse, espace
  ET snake_case ; l'ancien 'contient un espace' ratait code_versioning).
- Données : 79 notes ré-étiquetées vers les 3 formes canoniques.

Quality by design : l'erreur de nommage devient impossible à l'écriture, le
Lint n'est plus que le filet de sécurité.
2026-07-17 14:59:33 +02:00

93 lines
2.8 KiB
Python

import pickle
from collections import namedtuple
class RecordLevel:
__slots__ = ("icon", "name", "no")
def __init__(self, name, no, icon):
self.name = name
self.no = no
self.icon = icon
def __repr__(self):
return "(name=%r, no=%r, icon=%r)" % (self.name, self.no, self.icon)
def __format__(self, spec):
return self.name.__format__(spec)
class RecordFile:
__slots__ = ("name", "path")
def __init__(self, name, path):
self.name = name
self.path = path
def __repr__(self):
return "(name=%r, path=%r)" % (self.name, self.path)
def __format__(self, spec):
return self.name.__format__(spec)
class RecordThread:
__slots__ = ("id", "name")
def __init__(self, id_, name):
self.id = id_
self.name = name
def __repr__(self):
return "(id=%r, name=%r)" % (self.id, self.name)
def __format__(self, spec):
return self.id.__format__(spec)
class RecordProcess:
__slots__ = ("id", "name")
def __init__(self, id_, name):
self.id = id_
self.name = name
def __repr__(self):
return "(id=%r, name=%r)" % (self.id, self.name)
def __format__(self, spec):
return self.id.__format__(spec)
class RecordException(
namedtuple("RecordException", ("type", "value", "traceback")) # noqa: PYI024
):
def __repr__(self):
return "(type=%r, value=%r, traceback=%r)" % (self.type, self.value, self.traceback)
def __reduce__(self):
# The traceback is not picklable, therefore it needs to be removed. Additionally, there's a
# possibility that the exception value is not picklable either. In such cases, we also need
# to remove it. This is done for user convenience, aiming to prevent error logging caused by
# custom exceptions from third-party libraries. If the serialization succeeds, we can reuse
# the pickled value later for optimization (so that it's not pickled twice). It's important
# to note that custom exceptions might not necessarily raise a PickleError, hence the
# generic Exception catch.
try:
pickled_value = pickle.dumps(self.value)
except Exception:
return (RecordException, (self.type, None, None))
else:
return (RecordException._from_pickled_value, (self.type, pickled_value, None))
@classmethod
def _from_pickled_value(cls, type_, pickled_value, traceback_):
try:
# It's safe to use "pickle.loads()" in this case because the pickled value is generated
# by the same code and is not coming from an untrusted source.
value = pickle.loads(pickled_value)
except Exception:
return cls(type_, None, traceback_)
else:
return cls(type_, value, traceback_)