- Added comprehensive README files for all three sync modules - Implemented advanced logging system with multiple log levels (DEBUG, INFO, WARNING, ERROR) - Added automatic sensitive data masking for security in log payloads - Implemented log retention policy (90 days local, 7 years in AWS S3 Glacier) - Added AWS S3 integration for long-term log archiving - Fixed validation error with bemade_instance_id in sync model creation - Refactored model inheritance structure from _inherit to _inherits for proper delegation - Fixed duplicate sync model prevention logic - Restored Test Connection button in instance view - Fixed connection test logging to properly record success/failure - Fixed queue creation for connection test logs - Removed unnecessary Synchronized Module tab from odoo_to_odoo_bemade - Added database indexing on create_date for performance optimization - Fixed foreign key constraint violations in field mappings creation - Enhanced error handling throughout the synchronization process
199 lines
8.4 KiB
Python
199 lines
8.4 KiB
Python
# Copyright 2025 Bemade
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# License LGPL-3.0 or later (https://www.gnu.org/licenses/lgpl-3.0.html)
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"""Field Synchronization Configuration for Bemade clients.
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This module defines how fields are synchronized between client instances
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and the Bemade platform. It simplifies field mapping and transformations
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for Bemade customers.
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"""
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import logging
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import json
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from odoo import api, fields, models, _
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from odoo.exceptions import UserError, ValidationError
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_logger = logging.getLogger(__name__)
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class OdooToBemadeCustomerSyncModelField(models.Model):
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"""Champ de modèle synchronisé avec Bemade."""
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_name = 'odoo.to.bemade.customer.sync.model.field'
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_description = 'Champ de modèle synchronisé avec Bemade'
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_inherit = 'odoo.sync.model.field'
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_order = 'sequence, id'
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sequence = fields.Integer(
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string='Séquence',
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default=10,
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help='Ordre de traitement des champs lors de la synchronisation'
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)
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sync_model_id = fields.Many2one(
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comodel_name='odoo.to.bemade.customer.sync.model',
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string='Modèle synchronisé',
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required=True,
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ondelete='cascade',
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help='Modèle auquel ce champ appartient',
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)
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field_name = fields.Char(
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string='Nom du champ',
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required=True,
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help='Nom technique du champ dans le modèle local (ex: name)'
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)
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bemade_field_name = fields.Char(
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string='Nom du champ Bemade',
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required=True,
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help='Nom technique du champ correspondant chez Bemade'
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)
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is_identifier = fields.Boolean(
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string='Est un identifiant',
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default=False,
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help='Indique si ce champ est utilisé pour identifier l\'enregistrement chez Bemade'
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)
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transform_type = fields.Selection(
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selection_add=[
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('none', 'Aucune transformation'),
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('function', 'Fonction Python'),
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('mapping', 'Mapping de valeurs')
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],
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ondelete={'none': 'set default', 'function': 'set default', 'mapping': 'set default'},
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default='none',
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required=True,
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help='Type de transformation à appliquer au champ lors de la synchronisation'
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)
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transform_mapping = fields.Text(
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string='Mapping de transformation',
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help='Mapping JSON pour la transformation des valeurs (format: {"valeur_source": "valeur_cible",...})'
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)
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transform_function = fields.Text(
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string='Fonction de transformation',
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help='Code Python pour transformer la valeur (doit retourner la valeur transformée)'
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)
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active = fields.Boolean(
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string='Actif',
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default=True,
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help='Indique si ce champ est activement synchronisé'
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)
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@api.constrains('transform_mapping')
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def _check_transform_mapping_json(self):
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"""Vérifie que le mapping de transformation est un JSON valide."""
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for record in self:
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if record.transform_mapping:
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try:
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mapping = json.loads(record.transform_mapping)
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if not isinstance(mapping, dict):
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raise ValidationError(_("Le mapping de transformation doit être un dictionnaire JSON"))
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# Validate that all keys and values are strings or simple types
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for key, value in mapping.items():
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if not isinstance(key, (str, int, float, bool)) or \
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not isinstance(value, (str, int, float, bool, type(None))):
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raise ValidationError(_("Le mapping de transformation ne peut contenir que des types simples"))
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except json.JSONDecodeError:
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raise ValidationError(_("Le mapping de transformation doit être un JSON valide"))
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@api.constrains('transform_function')
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def _check_transform_function(self):
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"""Vérifie que la fonction de transformation est valide."""
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for record in self:
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if record.transform_function:
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# Basic syntax check
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try:
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compile(record.transform_function, '<string>', 'exec')
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except SyntaxError as e:
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raise ValidationError(_("Erreur de syntaxe dans la fonction de transformation: %s") % str(e))
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# Check for potentially dangerous functions
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dangerous_terms = ['import', 'exec', 'eval', 'os.', 'sys.', 'subprocess', 'open(', '__']
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for term in dangerous_terms:
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if term in record.transform_function:
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raise ValidationError(_("Terme non autorisé dans la fonction de transformation: %s") % term)
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@api.constrains('field_name', 'bemade_field_name')
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def _check_field_names(self):
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"""Vérifie que les noms de champs sont valides."""
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for record in self:
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# Check that field_name exists in the model
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if record.field_name and record.sync_model_id and record.sync_model_id.model:
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model = self.env.get(record.sync_model_id.model)
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if model and record.field_name not in model._fields:
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raise ValidationError(_("Le champ '%s' n'existe pas dans le modèle '%s'") %
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(record.field_name, record.sync_model_id.model))
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# Validate field name format
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if record.field_name and not record.field_name.replace('_', '').isalnum():
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raise ValidationError(_("Le nom du champ ne peut contenir que des caractères alphanumériques et des underscores"))
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if record.bemade_field_name and not record.bemade_field_name.replace('_', '').isalnum():
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raise ValidationError(_("Le nom du champ Bemade ne peut contenir que des caractères alphanumériques et des underscores"))
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def transform_value(self, value):
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"""Transforme une valeur selon la configuration du champ."""
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self.ensure_one()
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if self.transform_type == 'none' or value is False:
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return value
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if self.transform_type == 'mapping':
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if not self.transform_mapping:
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return value
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try:
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mapping = json.loads(self.transform_mapping)
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str_value = str(value)
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transformed_value = mapping.get(str_value, value)
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# Log transformation for audit purposes
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_logger.info(
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"Field transformation: %s.%s value '%s' transformed to '%s'",
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self.sync_model_id.model, self.field_name, value, transformed_value
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)
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return transformed_value
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except Exception as e:
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_logger.error(
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"Error in mapping transformation for %s.%s: %s",
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self.sync_model_id.model, self.field_name, str(e)
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)
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return value
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if self.transform_type == 'function':
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if not self.transform_function:
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return value
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# Implémentation sécurisée de l'exécution de code
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allowed_builtins = {
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'str': str, 'int': int, 'float': float, 'bool': bool,
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'list': list, 'dict': dict, 'tuple': tuple, 'set': set,
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'len': len, 'max': max, 'min': min, 'sum': sum,
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'round': round, 'abs': abs, 'all': all, 'any': any,
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'enumerate': enumerate, 'zip': zip, 'map': map, 'filter': filter,
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'True': True, 'False': False, 'None': None
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}
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local_dict = {'value': value, 'result': value}
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try:
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# pylint: disable=exec-used
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exec(self.transform_function, {'__builtins__': allowed_builtins}, local_dict)
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transformed_value = local_dict.get('result', value)
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# Log transformation for audit purposes
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_logger.info(
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"Function transformation: %s.%s value '%s' transformed to '%s'",
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self.sync_model_id.model, self.field_name, value, transformed_value
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)
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return transformed_value
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except Exception as e:
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_logger.error(
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"Error in function transformation for %s.%s: %s",
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self.sync_model_id.model, self.field_name, str(e)
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)
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return value
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