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Add validators.py (with tests).
This sets up a scheme to validate complex data structures and give specific error messages for improperly typed parameters. (imported from commit 33b2f070d993da4ee929119dd41503bd0128c8eb)
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76
zerver/lib/validator.py
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76
zerver/lib/validator.py
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'''
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This module sets up a scheme for validating that arbitrary Python
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objects are correctly typed. It is totally decoupled from Django,
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composable, easily wrapped, and easily extended.
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A validator takes two parameters--var_name and val--and returns an
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error if val is not the correct type. The var_name parameter is used
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to format error messages. Validators return None when there are no errors.
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Example primitive validators are check_string, check_int, and check_bool.
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Compound validators are created by check_list and check_dict. Note that
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those functions aren't directly called for validation; instead, those
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functions are called to return other functions that adhere to the validator
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contract. This is similar to how Python decorators are often parameterized.
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The contract for check_list and check_dict is that they get passed in other
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validators to apply to their items. This allows you to build up validators
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for arbitrarily complex validators. See ValidatorTestCase for example usage.
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A simple example of composition is this:
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check_list(check_string)('my_list', ['a', 'b', 'c']) == None
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To extend this concept, it's simply a matter of writing your own validator
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for any particular type of object.
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'''
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def check_string(var_name, val):
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if not isinstance(val, basestring):
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return '%s is not a string' % (var_name,)
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return None
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def check_int(var_name, val):
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if not isinstance(val, int):
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return '%s is not an integer' % (var_name,)
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return None
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def check_bool(var_name, val):
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if not isinstance(val, bool):
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return '%s is not a boolean' % (var_name,)
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return None
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def check_list(sub_validator):
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def f(var_name, val):
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if not isinstance(val, list):
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return '%s is not a list' % (var_name,)
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for i, item in enumerate(val):
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vname = '%s[%d]' % (var_name, i)
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error = sub_validator(vname, item)
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if error:
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return error
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return None
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return f
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def check_dict(required_keys):
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# required_keys is a list of tuples of
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# key_name/validator
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def f(var_name, val):
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if not isinstance(val, dict):
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return '%s is not a dict' % (var_name,)
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for k, sub_validator in required_keys:
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if k not in val:
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return '%s key is missing from %s' % (k, var_name)
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vname = '%s["%s"]' % (var_name, k)
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error = sub_validator(vname, val[k])
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if error:
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return error
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return None
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return f
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@@ -31,6 +31,8 @@ from zerver.lib.alert_words import alert_words_in_realm, user_alert_words, \
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add_user_alert_words, remove_user_alert_words
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from zerver.lib.digest import send_digest_email
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from zerver.forms import not_mit_mailing_list
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from zerver.lib.validator import check_string, check_list, check_dict, \
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check_bool, check_int
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from zerver.worker import queue_processors
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@@ -198,6 +200,93 @@ def is_known_slow_test(test_method):
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API_KEYS = {}
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class ValidatorTestCase(TestCase):
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def test_check_string(self):
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x = "hello"
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self.assertEqual(check_string('x', x), None)
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x = 4
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self.assertEqual(check_string('x', x), 'x is not a string')
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def test_check_bool(self):
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x = True
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self.assertEqual(check_bool('x', x), None)
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x = 4
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self.assertEqual(check_bool('x', x), 'x is not a boolean')
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def test_check_int(self):
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x = 5
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self.assertEqual(check_int('x', x), None)
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x = [{}]
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self.assertEqual(check_int('x', x), 'x is not an integer')
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def test_check_list(self):
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x = 999
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error = check_list(check_string)('x', x)
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self.assertEqual(error, 'x is not a list')
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x = ["hello", 5]
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error = check_list(check_string)('x', x)
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self.assertEqual(error, 'x[1] is not a string')
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x = [["yo"], ["hello", "goodbye", 5]]
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error = check_list(check_list(check_string))('x', x)
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self.assertEqual(error, 'x[1][2] is not a string')
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def test_check_dict(self):
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keys = [
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('names', check_list(check_string)),
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('city', check_string),
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]
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x = {
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'names': ['alice', 'bob'],
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'city': 'Boston',
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}
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error = check_dict(keys)('x', x)
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self.assertEqual(error, None)
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x = 999
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error = check_dict(keys)('x', x)
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self.assertEqual(error, 'x is not a dict')
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x = {}
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error = check_dict(keys)('x', x)
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self.assertEqual(error, 'names key is missing from x')
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x = {
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'names': ['alice', 'bob', {}]
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}
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error = check_dict(keys)('x', x)
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self.assertEqual(error, 'x["names"][2] is not a string')
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x = {
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'names': ['alice', 'bob'],
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'city': 5
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}
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error = check_dict(keys)('x', x)
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self.assertEqual(error, 'x["city"] is not a string')
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def test_encapsulation(self):
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# There might be situations where we want deep
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# validation, but the error message should be customized.
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# This is an example.
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def check_person(val):
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error = check_dict([
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['name', check_string],
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['age', check_int],
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])('_', val)
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if error:
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return 'This is not a valid person'
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person = {'name': 'King Lear', 'age': 42}
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self.assertEqual(check_person(person), None)
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person = 'misconfigured data'
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self.assertEqual(check_person(person), 'This is not a valid person')
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class AuthedTestCase(TestCase):
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# Helper because self.client.patch annoying requires you to urlencode
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def client_patch(self, url, info={}, **kwargs):
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