Dictionary to Colander schema conversion library
Project description
Convert python dict (YAML, JSON) to colander schema.
Colander is library, which enables you to validate and convert YAML, JSON and HTML form data. Colander schema as it is could be defined only in Python declaratively for example like this:
import colander
class Person(colander.MappingSchema):
name = colander.SchemaNode(colander.String())
age = colander.SchemaNode(colander.Int(),
validator=colander.Range(0, 200))
@colander.instantiate()
class phones(colander.SequenceSchema):
@colander.instantiate()
class phone(colander.MappingSchema):
location = colander.SchemaNode(colander.String(),
validator=colander.OneOf(['home', 'work']))
number = colander.SchemaNode(colander.String())
With dict2colander you can define the same colander schema in dictionary and convert it to colader.MappingSchema object.
Instalation
You can install dict2colander from Python Package Index like this:
pip install dict2colander
Usage
from dict2colander import dict2colander
schema_dict = {
'type': 'Mapping',
'name': 'person',
'subnodes': [
{'type': 'String', 'name': 'name'},
{'type': 'Integer', 'name': 'age',
'validators':
{'Range': {'args': ('0', '200')}}},
{'type': 'Sequence',
'name': 'phones',
'subnodes': [
{'type': 'Mapping', 'name': 'phone',
'subnodes': [
{'type': 'String', 'name': 'location',
'validators':
{'OneOf': {'args': (['home', 'work'],)}}},
{'type': 'String', 'name': 'number'}
]}]},
]
}
schema = dict2colander(schema_dict)
data = {
'name': 'keith',
'age': '20',
'friends':[('1', 'jim'),('2', 'bob'), ('3', 'joe'), ('4', 'fred')],
'phones':[{'location':'home', 'number':'555-1212'},
{'location':'work', 'number':'555-8989'},],
}
serialized_data = schema.deserialize(data)
print serialized_data
Dict2colander is intended to make possible to read colander schemas from YAML or JSON format. So here is schema from previous example written in YAML:
---
name: person
type: Mapping
subnodes:
- name: name
type: String
- name: age
type: Integer
validators:
Range:
args: ['0', '200']
- name: phones
type: Sequence
subnodes:
- name: phone
type: Mapping
subnodes:
- name: location
type: String
validators:
OneOf:
args: [[home, work]]
- name: number
type: String
Note that Range validator has arguments defined as Strings not Integers although that field age is of type Integer.
Here are data to deserialize in YAML format from first example:
---
name: keith
age: 20
friends:
- [1, jim]
- [2, bob]
- [3, joe]
- [4, fred]
phones:
- location: home
number: 555-1212
- location: work
number: 555-8989
Here is example how YAML data are deserialized with schema defined in YAML document.
import yaml
import dict2colander
def deserialize(yaml_doc, yaml_schema):
mapping_schema = dict2colander.dict2colander(yaml_schema)
return mapping_schema.deserialize(yaml_doc)
f = open('doc.yaml')
doc = yaml.load(f)
f.close()
f = open('schema.yaml')
schema = yaml.load(f)
f.close()
dict_doc = deserialize(doc, schema)
print dict_doc
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