dirty-models 0.11.2

Dirty models for python 3

Dirty Models

Dirty models for python 3

Documentation

http://dirty-models.readthedocs.io/

Features

• Python 3 package.
• Easy to create a model.
• Non destructive modifications.
• Non false positive modifications.
• Able to restore original data for each field or whole model.
• Access to original data.
• Read only fields.
• Alias for fields.
• Custom getters and setters for each fields.
• Automatic cast value.
• Easy import from/export to dict.
• Basic field type implemented.
• Multi type fields.
• Default values for each field or whole model.
• HashMap model. It could be used instead of DynamicModel.
• FastDynamicModel. It could be used instead of DynamicModel. Same behavior, better performance.
• Pickable models.
• Datetime fields can use any datetime format using parser and formatter functions.
• No database dependent.
• Auto documentation using Dirty Models Sphinx extension.
• Json encoder.
• Field access like dictionary but with wildcards.
• Opensource (BSD License)

Changelog

Version 0.11.2

• Fix bug #107.

• Added ~dirty_models.utils.ModelIterator class in order to be able to iterate over model fields.

  from dirty_models.utils import ModelIterator
  
  for fieldname, field_obj, value in ModelIterator(my_model):
      print('Field name: {}'.format(fieldname))
      print('Field alias: {}'.format(field_obj.alias))
      print('Field value: {}'.format(value))
  

• Some fixes about read only data.

Version 0.11.1

• Distribution fixes.

Version 0.11.0

• New field type ~dirty_models.fields.BytesField.
• String to integer casting could use any format allowed by Python: HEX (0x23), OCT (0o43) or no-meaning underscores (1_232_232, only since Python 3.6).

Version 0.10.1

• Factory<dirty_models.utils> feature. It allows to define a factory as default value in order to be executed each time model is instanced. (Issue #100)

  from dirty_models.utils import factory
  from datetime import datetime
  
  class Model(BaseModel):
  
     field_1 = DateTimeField(default=factory(datetime.now))
  
  model = Model()
  print(model.field_1)
  
  # 2017-11-02 21:52:46.339040
  

• Makefile fixes.

• Python 3.6 is supported officially. It works since first day, but now tests run on Travis for Python 3.6.

Version 0.10.0

• Pickable lists.
• Improved pickle performance.
• Setting None to a field remove content.
• More tests.
• Some code improvements.

Version 0.9.2

• Fix timezone when convert timestamp to datetime.

Version 0.9.1

• Fix installation.

Version 0.9.0

• New EnumField.
• Fixes on setup.py.
• Fixes on requirements.
• Fixes on formatter iters.
• Fixes on code.
• Added __version__ to main package file.
• Synchronized version between main packege file, setup.py and docs.
• Export only modifications.

Version 0.8.1

• Added __contains__ function to models and lists. It allows to use in operator.
• Added default_timezone parameter to DateTimeFields and TimeFields. If value entered has no a timezone defined, default one will be set.
• Added force_timezone parameter to DateTimeFields in order to convert values to a specific timezone.
• More cleanups.

Version 0.8.0

• Renamed internal fields. Now they use double score format __fieldname__.
• Raise a RunTimeError exception if two fields use same alias in a model.
• Fixed default docstrings.
• Cleanup default data. Only real name fields are allowed to use as key.
• Added ~dirty_models.models.BaseModel.get_attrs_by_path in order to get all values using path.
• Added ~dirty_models.models.BaseModel.get_1st_attr_by_path in order to get first value using path.
• Added option to access fields like in a dictionary, but using wildcards. Only for getters. See: ~dirty_models.models.BaseModel.get_1st_attr_by_path.
• Added some documentation.

Version 0.7.2

• Fixed inherited structure
• Added get_default_data method to models in order to retrieve default data.

Version 0.7.1

• Solved problem formatting dynamic models
• Added date, time and timedelta fields to dynamic models.

Version 0.7.0

• Timedelta field
• Generic formatters
• Json encoder

import json
from datetime import datetime
from dirty_models import BaseModel, DatetimeField
from dirty_models.utils import JSONEncoder


class ExampleModel(BaseModel):
    field_datetime = DatetimeField(parse_format="%Y-%m-%dT%H:%M:%S")

model = ExampleModel(field_datetime=datetime.now())

assert json.dumps(model, cls=JSONEncoder) == '{"field_datetime": "2016-05-30T22:22:22"}'

• Auto camelCase fields metaclass

Version 0.6.3

• Documentation fixed.
• Allow import main members from root package.

Version 0.6.2

• Improved datetime fields parser and formatter definitions. Now there are three ways to define them:

• Format string to use both parse and formatter:

class ExampleModel(BaseModel):
    datetime_field = DateTimeField(parse_format='%Y-%m-%dT%H:%M:%SZ')

• Define a format string or function for parse and format datetime:

class ExampleModel(BaseModel):
    datetime_field = DateTimeField(parse_format={'parser': callable_func,
                                                 'formatter': '%Y-%m-%dT%H:%M:%SZ'})

• Use predefined format:

DateTimeField.date_parsers = {
    'iso8061': {
        'formatter': '%Y-%m-%dT%H:%M:%SZ',
        'parser': iso8601.parse_date
    }
}
class ExampleModel(BaseModel):
    datetime_field = DateTimeField(parse_format='iso8061')

Version 0.6.1

• Improved model field autoreference.

class ExampleModel(BaseModel):
    model_field = ModelField()  # Field with a ExampleModel
    array_of_model = ArrayField(field_type=ModelField())  # Array of ExampleModels

Version 0.6.0

• Added default value for fields.

class ExampleModel(BaseModel):
    integer_field = IntegerField(default=1)

model = ExampleModel()
assert model.integer_field is 1

• Added default values at model level. Inherit default values could be override on new model classes.

class InheritExampleModel(ExampleModel):
    __default_data__ = {'integer_field': 2}

model = InheritExampleModel()
assert model.integer_field is 2

• Added multi type fields.

class ExampleModel(BaseModel):
    multi_field = MultiTypeField(field_types=[IntegerField(), StringField()])

model = ExampleModel()
model.multi_field = 2
assert model.multi_field is 2

model.multi_field = 'foo'
assert model.multi_field is 'foo'

Version 0.5.2

• Fixed model structure.
• Makefile helpers.

Version 0.5.1

• Added a easy way to get model structure. It will be used by autodoc libraries as sphinx or json-schema.

Version 0.5.0

• Added autolist parameter to ArrayField. It allows to assign a single item to a list field, so it will be converted to a list with this value.

class ExampleModel(BaseModel):
    array_field = ArrayField(field_type=StringField(), autolist=True)

model = ExampleModel()
model.array_field = 'foo'
assert model.array_field[0] is 'foo'

Installation

$ pip install dirty-models

Issues

• Getter and setter feature needs refactor to be able to use as decorators.
• DynamicModel is too strange. I don’t trust in it. Try to use HashMapModel or FastDynamicModel.

Basic usage

from dirty_models.models import BaseModel
from dirty_models.fields import StringField, IntegerField

class FooBarModel(BaseModel):
    foo = IntegerField()
    bar = StringField(name="real_bar")
    alias_field = IntegerField(alias=['alias1', 'alias2'])



fb = FooBarModel()

fb.foo = 2
assert fb.foo is 2

fb.bar = 'wow'
assert fb.bar is 'wow'
assert fb.real_bar is 'wow'

fb.alias_field = 3
assert fb.alias_field is 3
assert fb.alias1 is fb.alias_field
assert fb.alias2 is fb.alias_field
assert fb['alias_field'] is 3

Note

More examples and documentation on http://dirty-models.readthedocs.io/