def model_exists(model):
"""
Return True if 'model' is scaffoldable.
"""
connection = conf_lib.get_server_connection(config)
model_model = connection.get_model('ir.model')
res = model_model.search_count([('model', '=', model),
('transient', '=', False)])
return res != 0
def list_models():
connection = conf_lib.get_server_connection(config)
model_model = connection.get_model('ir.model')
models = model_model.search_read([('transient', '=', False),
('model', '!=', '_unknown')],
['model', 'name'])
if not models:
sys.stdout.write('No model found !')
return
for m in sorted(models, key=lambda f: f['model']):
sys.stdout.write('%s (%s)\n' % (m['model'], m['name']))
def load_fields():
"""
Build the model fields list, fetched as defined in the target database.
"""
global has_tracked_fields
global has_computed_fields
has_tracked_fields, has_computed_fields = False, False
connection = conf_lib.get_server_connection(config)
model_fields = connection.get_model('ir.model.fields')
field_ids = model_fields.search([('model', '=', model)])
fields = model_fields.read(field_ids)
ret = []
for field in fields:
f = ModelField(connection, field)
has_tracked_fields = has_tracked_fields or f.track_visibility
has_computed_fields = has_computed_fields or len(f.compute) > 1
ret.append(f)
return ret
# -*- coding: utf-8 -*-
import odoolib
from odoo_csv_tools.lib import conf_lib
from prefix import *
from files import *
connection = conf_lib.get_server_connection(config_file)
def view_xml_id(connection, module, name):
data_model = connection.get_model('ir.model.data')
data_ids = data_model.search([('module', '=', module),
('name', '=', name)])
records = data_model.read(data_ids, ['model', 'res_id'])
if not len(records):
print 'Record not found'
else:
record = records[0]
print 'Model: %s Id: %s' % (record['model'], record['res_id'])
view_xml_id(connection, HELPDESK_TICKET_PREFIX, '132496')