python-testdata - pypi Package Compare versions

Comparing version 1.0.2 to 1.0.3

testdata/factories/statistical.py

+import math
+import random
+from ..base import Factory 
+from ..errors import InvalidTotalPrecentage
+from .generic import Constant
+
+class StatisticalPercentageFactory(Factory):
+    """
+    Returns a different value a precentage of a time.
+    :param factories: a list of 2 item tuples. each tuple contains The Factory that its result should be returned as the first item,
+                                            and the chance of that value returning (in precents) as the second.
+    Note:
+    The sum of all precentages should be 100.
+    Examples:
+    >>> import testdata
+    >>> f = [i for i in StatisticalPercentageFactory([(testdata.Constant('foo'), 50), (testdata.Constant('bar'), 50)]).generate(4)]
+    >>> f.count('foo')
+    2
+    >>> f.count('bar')
+    2
+    >>> f = [i for i in StatisticalPercentageFactory([(testdata.Constant('foo'), 50), (testdata.Constant('bar'), 20)]).generate(4)]
+    Traceback (most recent call last):
+    InvalidTotalPrecentage: Need a total of a 100 precent. got 70 instead
+    """
+    def __init__(self, factories):
+        super(StatisticalPercentageFactory, self).__init__()
+        self._factories = []
+        total_precentage = 0
+        for factory, precent in factories:
+            total_precentage += precent
+            self._factories.append([factory, precent])
+        if total_precentage != 100:
+            raise InvalidTotalPrecentage("Need a total of a 100 precent. got {} instead".format(total_precentage))
+
+    def set_element_amount(self, element_amount):
+        super(StatisticalPercentageFactory, self).set_element_amount(element_amount)
+        for i in self._factories:
+            i[1] = int(math.ceil(element_amount * (i[1] / 100.0)))
+            i[0].set_element_amount(i[1])
+
+    def __call__(self):
+        selected_factory = random.choice(self._factories)
+        value = selected_factory[0]()
+        selected_factory[1] -= 1
+        if selected_factory[1] == 0:
+            self._factories.remove(selected_factory)
+        return value
+        
+
+class StatisticalValuesFactory(StatisticalPercentageFactory):
+    """
+    Returns a different value a precentage of a time.
+    :param values: a list of 2 item tuples. each tuple contains the value that should be returned as the first item,
+                                            and the chance of that value returning (in precents) as the second.
+    Note:
+    The sum of all precentages should be 100.
+    Examples:
+    >>> f = [i for i in StatisticalValuesFactory([('foo', 50), ('bar', 50)]).generate(4)]
+    >>> f.count('foo')
+    2
+    >>> f.count('bar')
+    2
+    """
+    def __init__(self, values):
+        factories = [[Constant(value), precent] for value, precent in values]
+        super(StatisticalValuesFactory, self).__init__(factories)

PKG-INFO

 Metadata-Version: 1.1
 Name: python-testdata
-Version: 1.0.2
+Version: 1.0.3
 Summary: A small package that helps generate content to fill databases for tests.
@@ -32,3 +32,10 @@ Home-page: http://github.com/arieb/python-testdata
         ## Examples
-        We integrate the awsome fake-factory package to generate data using FakeDataFactory.
+        We integrate the awsome fake-factory package to generate data using FakeDataFactory,
+        this allows us to generate all sorts of content like:
+            * Names (First, last, full names)
+            * companies
+            * addresses
+            * emails
+            * urls
+            * and much much more
         
@@ -58,3 +65,3 @@ lets create a very simple factory that generates Users:
         
-        ```
+        ```python
         class ExampleFactory(DictFactory):
@@ -92,2 +99,27 @@ a = CountingFactory(10)
         
+        We also have factories that allow us to generate different data distributed by different percentage, for example,
+        lets say we want to create an 'Job', that will have an assigned user field, a state field and a description field.
+        we want the state to be 'pending' in 90% of dictionaries and 'error' the rest of the time. In addition, we want that if the 'state' field is 
+        'error' the assigned user will be 'support', else it should be 'admin'.
+        
+        ```python
+        class Job(testdata.DictFactory):
+            state = testdata.StatisticalValuesFactory([('pending', 90), ('error', 10)])
+            assigned_user = testdata.ConditionalValueField('state', {'error': 'support'}, 'admin')
+            description = testdata.RandomLengthStringFactory()
+        
+        for i in Job().generate(10):
+            print i
+            # {'state': 'error', 'assigned_user': 'support', 'description': 'jUlyFByPxPdFlBPBfPaGaTPPuajFSHXKkyewzrQ'}
+            # {'state': 'pending', 'assigned_user': 'admin', 'description': 'tOzkgmBBnxQZhSYEjVduyXGdLrtqeTZqRxmHNXbaJBfpdNxuLKWyTDxkCZgiZTLHeiKEswvIyDzAnuuOLtXmVWhjvazaOYuu'}
+            # {'state': 'pending', 'assigned_user': 'admin', 'description': 'TIDVuvZRUBLLTtG'}
+            # {'state': 'pending', 'assigned_user': 'admin', 'description': 'RgcSaFzmMrhwCAZjLofikmXJhtqkVOTsWHnqTXjgrxgzTKH'}
+            # {'state': 'pending', 'assigned_user': 'admin', 'description': 'tLkSEkCbYDvlcDBDWUBGMmidEdOxeiLDBADDKnqGqWLnxUBqzOXFXnBxkiGTymuGNbUnmxyawzLGsiummCiwxNSw'}
+            # {'state': 'pending', 'assigned_user': 'admin', 'description': 'tUyYLofuZpceaWYKkiRvksQLqFHGOiwACuPIvRxMIuftJPsObSqCBcrQnOkOhqAukfMwrY'}
+            # {'state': 'pending', 'assigned_user': 'admin', 'description': 'JbFrUxrERMObfwhEtCQGcxEbimvoTFwJriSfRFLFkBpyemqEfqUCGKmVlgSlVoZrrnetEnLCgbfobFbTMQOZ'}
+            # {'state': 'pending', 'assigned_user': 'admin', 'description': 'lqatAwdcQuMMOPiYdVMRyyQgEIzOlcoozijjdCfXsVoZnnTtQjPSGBFZQGSkPblJrTIYLAotiZoyYRFrlncevwuNcqfOmeXeCPD'}
+            # {'state': 'pending', 'assigned_user': 'admin', 'description': 'VYxnhydWtIUFiOEPszVQHuxYBIUGDyAefZiPIgkWHCMmophiueXbixXtdwKQkuvWImuErMOOOcwevQHGApXkolhjAq'}
+            # {'state': 'pending', 'assigned_user': 'admin', 'description': 'RcawgTkQggchdHppSyQxnbDdNxqkGqbQWnQMSlorqnAQLdAqyWnKtGpXaZuVdxcGQBImzVPQsYAbIFUIpqvDzwTDdRpleBrc'}
+        ```
+        
         ## Factories
@@ -117,3 +149,4 @@ See the Factorie's Docstrings for more examples and doctests.
         * Add GeoLocationFactories to generates Location and distance related data (for example, random points near a central point).
-        * Add Statistical Factories
+        * Add MORE Statistical Factories
+        * more ideas welcome!
         
@@ -120,0 +153,0 @@ Keywords: factory testing test unittest mongo data testdata database json elasticsearch

python_testdata.egg-info/PKG-INFO

 Metadata-Version: 1.1
 Name: python-testdata
-Version: 1.0.2
+Version: 1.0.3
 Summary: A small package that helps generate content to fill databases for tests.
@@ -32,3 +32,10 @@ Home-page: http://github.com/arieb/python-testdata
         ## Examples
-        We integrate the awsome fake-factory package to generate data using FakeDataFactory.
+        We integrate the awsome fake-factory package to generate data using FakeDataFactory,
+        this allows us to generate all sorts of content like:
+            * Names (First, last, full names)
+            * companies
+            * addresses
+            * emails
+            * urls
+            * and much much more
         
@@ -58,3 +65,3 @@ lets create a very simple factory that generates Users:
         
-        ```
+        ```python
         class ExampleFactory(DictFactory):
@@ -92,2 +99,27 @@ a = CountingFactory(10)
         
+        We also have factories that allow us to generate different data distributed by different percentage, for example,
+        lets say we want to create an 'Job', that will have an assigned user field, a state field and a description field.
+        we want the state to be 'pending' in 90% of dictionaries and 'error' the rest of the time. In addition, we want that if the 'state' field is 
+        'error' the assigned user will be 'support', else it should be 'admin'.
+        
+        ```python
+        class Job(testdata.DictFactory):
+            state = testdata.StatisticalValuesFactory([('pending', 90), ('error', 10)])
+            assigned_user = testdata.ConditionalValueField('state', {'error': 'support'}, 'admin')
+            description = testdata.RandomLengthStringFactory()
+        
+        for i in Job().generate(10):
+            print i
+            # {'state': 'error', 'assigned_user': 'support', 'description': 'jUlyFByPxPdFlBPBfPaGaTPPuajFSHXKkyewzrQ'}
+            # {'state': 'pending', 'assigned_user': 'admin', 'description': 'tOzkgmBBnxQZhSYEjVduyXGdLrtqeTZqRxmHNXbaJBfpdNxuLKWyTDxkCZgiZTLHeiKEswvIyDzAnuuOLtXmVWhjvazaOYuu'}
+            # {'state': 'pending', 'assigned_user': 'admin', 'description': 'TIDVuvZRUBLLTtG'}
+            # {'state': 'pending', 'assigned_user': 'admin', 'description': 'RgcSaFzmMrhwCAZjLofikmXJhtqkVOTsWHnqTXjgrxgzTKH'}
+            # {'state': 'pending', 'assigned_user': 'admin', 'description': 'tLkSEkCbYDvlcDBDWUBGMmidEdOxeiLDBADDKnqGqWLnxUBqzOXFXnBxkiGTymuGNbUnmxyawzLGsiummCiwxNSw'}
+            # {'state': 'pending', 'assigned_user': 'admin', 'description': 'tUyYLofuZpceaWYKkiRvksQLqFHGOiwACuPIvRxMIuftJPsObSqCBcrQnOkOhqAukfMwrY'}
+            # {'state': 'pending', 'assigned_user': 'admin', 'description': 'JbFrUxrERMObfwhEtCQGcxEbimvoTFwJriSfRFLFkBpyemqEfqUCGKmVlgSlVoZrrnetEnLCgbfobFbTMQOZ'}
+            # {'state': 'pending', 'assigned_user': 'admin', 'description': 'lqatAwdcQuMMOPiYdVMRyyQgEIzOlcoozijjdCfXsVoZnnTtQjPSGBFZQGSkPblJrTIYLAotiZoyYRFrlncevwuNcqfOmeXeCPD'}
+            # {'state': 'pending', 'assigned_user': 'admin', 'description': 'VYxnhydWtIUFiOEPszVQHuxYBIUGDyAefZiPIgkWHCMmophiueXbixXtdwKQkuvWImuErMOOOcwevQHGApXkolhjAq'}
+            # {'state': 'pending', 'assigned_user': 'admin', 'description': 'RcawgTkQggchdHppSyQxnbDdNxqkGqbQWnQMSlorqnAQLdAqyWnKtGpXaZuVdxcGQBImzVPQsYAbIFUIpqvDzwTDdRpleBrc'}
+        ```
+        
         ## Factories
@@ -117,3 +149,4 @@ See the Factorie's Docstrings for more examples and doctests.
         * Add GeoLocationFactories to generates Location and distance related data (for example, random points near a central point).
-        * Add Statistical Factories
+        * Add MORE Statistical Factories
+        * more ideas welcome!
         
@@ -120,0 +153,0 @@ Keywords: factory testing test unittest mongo data testdata database json elasticsearch

python_testdata.egg-info/SOURCES.txt

@@ -23,2 +23,3 @@ MANIFEST.in
 testdata/factories/sequences.py
+testdata/factories/statistical.py
 testdata/factories/strings.py

README.md

@@ -24,3 +24,10 @@ python-testdata
 ## Examples
-We integrate the awsome fake-factory package to generate data using FakeDataFactory.
+We integrate the awsome fake-factory package to generate data using FakeDataFactory,
+this allows us to generate all sorts of content like:
+    * Names (First, last, full names)
+    * companies
+    * addresses
+    * emails
+    * urls
+    * and much much more
 
@@ -50,3 +57,3 @@ lets create a very simple factory that generates Users:
 
-```
+```python
 class ExampleFactory(DictFactory):
@@ -84,2 +91,27 @@ a = CountingFactory(10)
 
+We also have factories that allow us to generate different data distributed by different percentage, for example,
+lets say we want to create an 'Job', that will have an assigned user field, a state field and a description field.
+we want the state to be 'pending' in 90% of dictionaries and 'error' the rest of the time. In addition, we want that if the 'state' field is 
+'error' the assigned user will be 'support', else it should be 'admin'.
+
+```python
+class Job(testdata.DictFactory):
+    state = testdata.StatisticalValuesFactory([('pending', 90), ('error', 10)])
+    assigned_user = testdata.ConditionalValueField('state', {'error': 'support'}, 'admin')
+    description = testdata.RandomLengthStringFactory()
+
+for i in Job().generate(10):
+    print i
+    # {'state': 'error', 'assigned_user': 'support', 'description': 'jUlyFByPxPdFlBPBfPaGaTPPuajFSHXKkyewzrQ'}
+    # {'state': 'pending', 'assigned_user': 'admin', 'description': 'tOzkgmBBnxQZhSYEjVduyXGdLrtqeTZqRxmHNXbaJBfpdNxuLKWyTDxkCZgiZTLHeiKEswvIyDzAnuuOLtXmVWhjvazaOYuu'}
+    # {'state': 'pending', 'assigned_user': 'admin', 'description': 'TIDVuvZRUBLLTtG'}
+    # {'state': 'pending', 'assigned_user': 'admin', 'description': 'RgcSaFzmMrhwCAZjLofikmXJhtqkVOTsWHnqTXjgrxgzTKH'}
+    # {'state': 'pending', 'assigned_user': 'admin', 'description': 'tLkSEkCbYDvlcDBDWUBGMmidEdOxeiLDBADDKnqGqWLnxUBqzOXFXnBxkiGTymuGNbUnmxyawzLGsiummCiwxNSw'}
+    # {'state': 'pending', 'assigned_user': 'admin', 'description': 'tUyYLofuZpceaWYKkiRvksQLqFHGOiwACuPIvRxMIuftJPsObSqCBcrQnOkOhqAukfMwrY'}
+    # {'state': 'pending', 'assigned_user': 'admin', 'description': 'JbFrUxrERMObfwhEtCQGcxEbimvoTFwJriSfRFLFkBpyemqEfqUCGKmVlgSlVoZrrnetEnLCgbfobFbTMQOZ'}
+    # {'state': 'pending', 'assigned_user': 'admin', 'description': 'lqatAwdcQuMMOPiYdVMRyyQgEIzOlcoozijjdCfXsVoZnnTtQjPSGBFZQGSkPblJrTIYLAotiZoyYRFrlncevwuNcqfOmeXeCPD'}
+    # {'state': 'pending', 'assigned_user': 'admin', 'description': 'VYxnhydWtIUFiOEPszVQHuxYBIUGDyAefZiPIgkWHCMmophiueXbixXtdwKQkuvWImuErMOOOcwevQHGApXkolhjAq'}
+    # {'state': 'pending', 'assigned_user': 'admin', 'description': 'RcawgTkQggchdHppSyQxnbDdNxqkGqbQWnQMSlorqnAQLdAqyWnKtGpXaZuVdxcGQBImzVPQsYAbIFUIpqvDzwTDdRpleBrc'}
+```
+
 ## Factories
@@ -109,2 +141,3 @@ See the Factorie's Docstrings for more examples and doctests.
 * Add GeoLocationFactories to generates Location and distance related data (for example, random points near a central point).
-* Add Statistical Factories
+* Add MORE Statistical Factories
+* more ideas welcome!

testdata/__init__.py

@@ -10,1 +10,2 @@ # Flatten the package import
 from .factories.generic import  *
+from .factories.statistical import *

testdata/errors.py

@@ -10,1 +10,2 @@ class TestDataError(Exception): pass
 class NoFactoriesProvided(TestDataError): pass
+class InvalidTotalPrecentage(TestDataError): pass

VERSION

@@ -1,1 +0,1 @@
-1.0.2
+1.0.3

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57331

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Number of package files

26

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Lines of code

743

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