def pentaho_validate_params(self, cr, uid, report, param_vals, context=None):
"""Validate a list of passed parameters against the defined params for
a Pentaho report.
Raises an exception if any of the params are invalid.
@param report: Browse object on the ir.actions.report.xml record for the report.
@param param_vals: Dict with parameter values to pass to the report. These are python
data types prior to conversion for passing to the Pentaho server.
"""
param_defs = core.fetch_report_parameters(cr, uid, report.report_name, context=context)
val_names = param_vals.keys()
for pdef in param_defs:
pname = pdef.get('name', '')
if not pname:
continue
if pname in val_names:
val_names.remove(pname)
else:
if pdef.get('default_value', False):
if type(pdef['default_value']) in (list, tuple):
param_vals[pname] = pdef['default_value'][0]
else:
param_vals[pname] = pdef['default_value']
else:
if pdef.get('is_mandatory', False):
raise except_orm(_('Error'), _("Report '%s'. No value passed for mandatory report parameter '%s'.") % (report.report_name, pname))
continue
# Make sure data types match
value_type = pdef.get('value_type', '')
java_list, value_type = check_java_list(value_type)
if not value_type in JAVA_MAPPING:
raise except_orm(_('Error'), _("Report '%s', parameter '%s'. Type '%s' not supported.") % (report.report_name, pname, pdef.get('value_type', '')))
local_type = JAVA_MAPPING[value_type](pdef.get('attributes', {}).get('data-format', False))
param_val = param_vals[pname]
if not local_type in PARAM_VALUES:
raise except_orm(_('Error'), _("Report '%s', parameter '%s'. Local type '%s' not supported.") % (report.report_name, pname, local_type))
if not isinstance(param_val, PARAM_VALUES[local_type]['py_types']):
raise except_orm(_('Error'), _("Report '%s', parameter '%s'. Passed value is '%s' but must be one of '%s'.") % (report.report_name, pname, param_val.__class__.__name__, PARAM_VALUES[local_type]['py_types']))
converter = PARAM_VALUES[local_type].get('convert')
if converter:
try:
converter(param_val)
except Exception, e:
raise except_orm(_('Error'), _("Report '%s', parameter '%s'. Passed value '%s' failed data conversion to type '%s'.\n%s") % (report.report_name, pname, param_val, local_type, str(e)))
def pentaho_validate_params(self, cr, uid, report, param_vals, context=None):
"""Validate a list of passed parameters against the defined params for
a Pentaho report.
Raises an exception if any of the params are invalid.
@param report: Browse object on the ir.actions.report.xml record for the report.
@param param_vals: Dict with parameter values to pass to the report. These are python
data types prior to conversion for passing to the Pentaho server.
"""
param_defs = core.fetch_report_parameters(cr, uid, report.report_name, context=context)
val_names = param_vals.keys()
for pdef in param_defs:
pname = pdef.get('name', '')
if not pname:
continue
if pname in val_names:
val_names.remove(pname)
else:
if pdef.get('default_value', False):
if type(pdef['default_value']) in (list, tuple):
param_vals[pname] = pdef['default_value'][0]
else:
param_vals[pname] = pdef['default_value']
else:
if pdef.get('is_mandatory', False):
raise orm.except_orm(_('Error'), _("Report '%s'. No value passed for mandatory report parameter '%s'.") % (report.report_name, pname))
continue
# Make sure data types match
value_type = pdef.get('value_type', '')
java_list, value_type = check_java_list(value_type)
if not value_type in JAVA_MAPPING:
raise orm.except_orm(_('Error'), _("Report '%s', parameter '%s'. Type '%s' not supported.") % (report.report_name, pname, pdef.get('value_type', '')))
local_type = JAVA_MAPPING[value_type](pdef.get('attributes', {}).get('data-format', False))
param_val = param_vals[pname]
if not local_type in PARAM_VALUES:
raise orm.except_orm(_('Error'), _("Report '%s', parameter '%s'. Local type '%s' not supported.") % (report.report_name, pname, local_type))
if not isinstance(param_val, PARAM_VALUES[local_type]['py_types']):
raise orm.except_orm(_('Error'), _("Report '%s', parameter '%s'. Passed value is '%s' but must be one of '%s'.") % (report.report_name, pname, param_val.__class__.__name__, PARAM_VALUES[local_type]['py_types']))
converter = PARAM_VALUES[local_type].get('convert')
if converter:
try:
converter(param_val)
except Exception, e:
raise orm.except_orm(_('Error'), _("Report '%s', parameter '%s'. Passed value '%s' failed data conversion to type '%s'.\n%s") % (report.report_name, pname, param_val, local_type, str(e)))