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-rw-r--r--scripts/automation/trex_control_plane/client_utils/yaml_utils.py163
1 files changed, 163 insertions, 0 deletions
diff --git a/scripts/automation/trex_control_plane/client_utils/yaml_utils.py b/scripts/automation/trex_control_plane/client_utils/yaml_utils.py
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index 00000000..776a51a7
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+++ b/scripts/automation/trex_control_plane/client_utils/yaml_utils.py
@@ -0,0 +1,163 @@
+
+"""
+Dan Klein
+Cisco Systems, Inc.
+
+Copyright (c) 2015-2015 Cisco Systems, Inc.
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+ http://www.apache.org/licenses/LICENSE-2.0
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+"""
+import traceback
+import sys
+import yaml
+
+
+class CTRexYAMLLoader(object):
+ TYPE_DICT = {"double":float,
+ "int":int,
+ "array":list,
+ "string":str,
+ "boolean":bool}
+
+ def __init__(self, yaml_ref_file_path):
+ self.yaml_path = yaml_ref_file_path
+ self.ref_obj = None
+
+ def check_term_param_type(self, val, val_field, ref_val, multiplier):
+ # print val, val_field, ref_val
+ tmp_type = ref_val.get('type')
+ if isinstance(tmp_type, list):
+ # item can be one of multiple types
+ # print "multiple choice!"
+ python_types = set()
+ for t in tmp_type:
+ if t in self.TYPE_DICT:
+ python_types.add(self.TYPE_DICT.get(t))
+ else:
+ return False, TypeError("Unknown resolving for type {0}".format(t))
+ # print "python legit types: ", python_types
+ if type(val) not in python_types:
+ return False, TypeError("Type of object field '{0}' is not allowed".format(val_field))
+ else:
+ # WE'RE OK!
+ return True, CTRexYAMLLoader._calc_final_value(val, multiplier, ref_val.get('multiply', False))
+ else:
+ # this is a single type field
+ python_type = self.TYPE_DICT.get(tmp_type)
+ if not isinstance(val, python_type):
+ return False, TypeError("Type of object field '{0}' is not allowed".format(val_field))
+ else:
+ # WE'RE OK!
+ return True, CTRexYAMLLoader._calc_final_value(val, multiplier, ref_val.get('multiply', False))
+
+ def get_reference_default(self, root_obj, sub_obj, key):
+ # print root_obj, sub_obj, key
+ if sub_obj:
+ ref_field = self.ref_obj.get(root_obj).get(sub_obj).get(key)
+ else:
+ ref_field = self.ref_obj.get(root_obj).get(key)
+ if 'has_default' in ref_field:
+ if ref_field.get('has_default'):
+ # WE'RE OK!
+ return True, ref_field.get('default')
+ else:
+ # This is a mandatory field!
+ return False, ValueError("The {0} field is mandatory and must be specified explicitly".format(key))
+ else:
+ return False, ValueError("The {0} field has no indication about default value".format(key))
+
+ def validate_yaml(self, evaluated_obj, root_obj, fill_defaults=True, multiplier=1):
+ if isinstance(evaluated_obj, dict) and evaluated_obj.keys() == [root_obj]:
+ evaluated_obj = evaluated_obj.get(root_obj)
+ if not self.ref_obj:
+ self.ref_obj = load_yaml_to_obj(self.yaml_path)
+ # self.load_reference()
+ ref_item = self.ref_obj.get(root_obj)
+ if ref_item is not None:
+ try:
+ typed_obj = [False, None] # first item stores validity (multiple object "shapes"), second stored type
+ if "type" in evaluated_obj:
+ ref_item = ref_item[evaluated_obj.get("type")]
+ # print "lower resolution with typed object"
+ typed_obj = [True, evaluated_obj.get("type")]
+ if isinstance(ref_item, dict) and "type" not in ref_item: # this is not a terminal
+ result_obj = {}
+ if typed_obj[0]:
+ result_obj["type"] = typed_obj[1]
+ # print "processing dictionary non-terminal value"
+ for k, v in ref_item.items():
+ # print "processing element '{0}' with value '{1}'".format(k,v)
+ if k in evaluated_obj:
+ # validate with ref obj
+ # print "found in evaluated object!"
+ tmp_type = v.get('type')
+ # print tmp_type
+ # print evaluated_obj
+ if tmp_type == "object":
+ # go deeper into nesting hierarchy
+ # print "This is an object type, recursion!"
+ result_obj[k] = self.validate_yaml(evaluated_obj.get(k), k, fill_defaults, multiplier)
+ else:
+ # validation on terminal type
+ # print "Validating terminal type %s" % k
+ res_ok, data = self.check_term_param_type(evaluated_obj.get(k), k, v, multiplier)
+ if res_ok:
+ # data field contains the value to save
+ result_obj[k] = data
+ else:
+ # data var contains the exception to throw
+ raise data
+ elif fill_defaults:
+ # complete missing values with default value, if exists
+ sub_obj = typed_obj[1] if typed_obj[0] else None
+ res_ok, data = self.get_reference_default(root_obj, sub_obj, k)
+ if res_ok:
+ # data field contains the value to save
+ result_obj[k] = data
+ else:
+ # data var contains the exception to throw
+ raise data
+ return result_obj
+ elif isinstance(ref_item, list):
+ # currently not handling list objects
+ return NotImplementedError("List object are currently unsupported")
+ else:
+ raise TypeError("Unknown parse tree object type.")
+ except KeyError as e:
+ raise
+ else:
+ raise KeyError("The given root_key '{key}' does not exists on reference object".format(key=root_obj))
+
+ @staticmethod
+ def _calc_final_value(val, multiplier, multiply):
+ def to_num(s):
+ try:
+ return int(s)
+ except ValueError:
+ return float(s)
+ if multiply:
+ return val * to_num(multiplier)
+ else:
+ return val
+
+
+def load_yaml_to_obj(file_path):
+ try:
+ return yaml.load(file(file_path, 'r'))
+ except yaml.YAMLError as e:
+ raise
+ except Exception as e:
+ raise
+
+def yaml_exporter(file_path):
+ pass
+
+if __name__ == "__main__":
+ pass