Scripts to download files from google storage based on sha1 sums

third_party/gsutil/boto/tests/integration/dynamodb/test_layer2.py

Index: third_party/gsutil/boto/tests/integration/dynamodb/test_layer2.py
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+# Copyright (c) 2012 Mitch Garnaat http://garnaat.org/
+# All rights reserved.
+#
+# Permission is hereby granted, free of charge, to any person obtaining a
+# copy of this software and associated documentation files (the
+# "Software"), to deal in the Software without restriction, including
+# without limitation the rights to use, copy, modify, merge, publish, dis-
+# tribute, sublicense, and/or sell copies of the Software, and to permit
+# persons to whom the Software is furnished to do so, subject to the fol-
+# lowing conditions:
+#
+# The above copyright notice and this permission notice shall be included
+# in all copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
+# OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABIL-
+# ITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
+# SHALL THE AUTHOR BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
+# WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
+# IN THE SOFTWARE.
+
+"""
+Tests for Layer2 of Amazon DynamoDB
+"""
+import unittest
+import time
+import uuid
+from decimal import Decimal
+
+from boto.dynamodb.exceptions import DynamoDBKeyNotFoundError
+from boto.dynamodb.exceptions import DynamoDBConditionalCheckFailedError
+from boto.dynamodb.layer2 import Layer2
+from boto.dynamodb.types import get_dynamodb_type, Binary
+from boto.dynamodb.condition import BEGINS_WITH, CONTAINS, GT
+
+
+class DynamoDBLayer2Test (unittest.TestCase):
+    dynamodb = True
+
+    def setUp(self):
+        self.dynamodb = Layer2()
+        self.hash_key_name = 'forum_name'
+        self.hash_key_proto_value = ''
+        self.range_key_name = 'subject'
+        self.range_key_proto_value = ''
+        self.table_name = 'sample_data_%s' % int(time.time())
+
+    def create_sample_table(self):
+        schema = self.dynamodb.create_schema(
+            self.hash_key_name, self.hash_key_proto_value,
+            self.range_key_name,
+            self.range_key_proto_value)
+        table = self.create_table(self.table_name, schema, 5, 5)
+        table.refresh(wait_for_active=True)
+        return table
+
+    def create_table(self, table_name, schema, read_units, write_units):
+        result = self.dynamodb.create_table(table_name, schema, read_units, write_units)
+        self.addCleanup(self.dynamodb.delete_table, result)
+        return result
+
+    def test_layer2_basic(self):
+        print '--- running Amazon DynamoDB Layer2 tests ---'
+        c = self.dynamodb
+
+        # First create a schema for the table
+        schema = c.create_schema(self.hash_key_name, self.hash_key_proto_value,
+                                 self.range_key_name,
+                                 self.range_key_proto_value)
+
+        # Create another schema without a range key
+        schema2 = c.create_schema('post_id', '')
+
+        # Now create a table
+        index = int(time.time())
+        table_name = 'test-%d' % index
+        read_units = 5
+        write_units = 5
+        table = self.create_table(table_name, schema, read_units, write_units)
+        assert table.name == table_name
+        assert table.schema.hash_key_name == self.hash_key_name
+        assert table.schema.hash_key_type == get_dynamodb_type(self.hash_key_proto_value)
+        assert table.schema.range_key_name == self.range_key_name
+        assert table.schema.range_key_type == get_dynamodb_type(self.range_key_proto_value)
+        assert table.read_units == read_units
+        assert table.write_units == write_units
+        assert table.item_count == 0
+        assert table.size_bytes == 0
+
+        # Create the second table
+        table2_name = 'test-%d' % (index + 1)
+        table2 = self.create_table(table2_name, schema2, read_units, write_units)
+
+        # Wait for table to become active
+        table.refresh(wait_for_active=True)
+        table2.refresh(wait_for_active=True)
+
+        # List tables and make sure new one is there
+        table_names = c.list_tables()
+        assert table_name in table_names
+        assert table2_name in table_names
+
+        # Update the tables ProvisionedThroughput
+        new_read_units = 10
+        new_write_units = 5
+        table.update_throughput(new_read_units, new_write_units)
+
+        # Wait for table to be updated
+        table.refresh(wait_for_active=True)
+        assert table.read_units == new_read_units
+        assert table.write_units == new_write_units
+
+        # Put an item
+        item1_key = 'Amazon DynamoDB'
+        item1_range = 'DynamoDB Thread 1'
+        item1_attrs = {
+            'Message': 'DynamoDB thread 1 message text',
+            'LastPostedBy': 'User A',
+            'Views': 0,
+            'Replies': 0,
+            'Answered': 0,
+            'Public': True,
+            'Tags': set(['index', 'primarykey', 'table']),
+            'LastPostDateTime':  '12/9/2011 11:36:03 PM'}
+
+        # Test a few corner cases with new_item
+
+        # Try supplying a hash_key as an arg and as an item in attrs
+        item1_attrs[self.hash_key_name] = 'foo'
+        foobar_item = table.new_item(item1_key, item1_range, item1_attrs)
+        assert foobar_item.hash_key == item1_key
+
+        # Try supplying a range_key as an arg and as an item in attrs
+        item1_attrs[self.range_key_name] = 'bar'
+        foobar_item = table.new_item(item1_key, item1_range, item1_attrs)
+        assert foobar_item.range_key == item1_range
+
+        # Try supplying hash and range key in attrs dict
+        foobar_item = table.new_item(attrs=item1_attrs)
+        assert foobar_item.hash_key == 'foo'
+        assert foobar_item.range_key == 'bar'
+
+        del item1_attrs[self.hash_key_name]
+        del item1_attrs[self.range_key_name]
+
+        item1 = table.new_item(item1_key, item1_range, item1_attrs)
+        # make sure the put() succeeds
+        try:
+            item1.put()
+        except c.layer1.ResponseError, e:
+            raise Exception("Item put failed: %s" % e)
+
+        # Try to get an item that does not exist.
+        self.assertRaises(DynamoDBKeyNotFoundError,
+                          table.get_item, 'bogus_key', item1_range)
+
+        # Now do a consistent read and check results
+        item1_copy = table.get_item(item1_key, item1_range,
+                                    consistent_read=True)
+        assert item1_copy.hash_key == item1.hash_key
+        assert item1_copy.range_key == item1.range_key
+        for attr_name in item1_copy:
+            val = item1_copy[attr_name]
+            if isinstance(val, (int, long, float, basestring)):
+                assert val == item1[attr_name]
+
+        # Try retrieving only select attributes
+        attributes = ['Message', 'Views']
+        item1_small = table.get_item(item1_key, item1_range,
+                                     attributes_to_get=attributes,
+                                     consistent_read=True)
+        for attr_name in item1_small:
+            # The item will include the attributes we asked for as
+            # well as the hashkey and rangekey, so filter those out.
+            if attr_name not in (item1_small.hash_key_name,
+                                 item1_small.range_key_name):
+                assert attr_name in attributes
+
+        self.assertTrue(table.has_item(item1_key, range_key=item1_range,
+                                       consistent_read=True))
+
+        # Try to delete the item with the wrong Expected value
+        expected = {'Views': 1}
+        self.assertRaises(DynamoDBConditionalCheckFailedError,
+                          item1.delete, expected_value=expected)
+
+        # Try to delete a value while expecting a non-existant attribute
+        expected = {'FooBar': True}
+        try:
+            item1.delete(expected_value=expected)
+        except c.layer1.ResponseError, e:
+            pass
+
+        # Now update the existing object
+        item1.add_attribute('Replies', 2)
+
+        removed_attr = 'Public'
+        item1.delete_attribute(removed_attr)
+
+        removed_tag = item1_attrs['Tags'].copy().pop()
+        item1.delete_attribute('Tags', set([removed_tag]))
+
+        replies_by_set = set(['Adam', 'Arnie'])
+        item1.put_attribute('RepliesBy', replies_by_set)
+        retvals = item1.save(return_values='ALL_OLD')
+        # Need more tests here for variations on return_values
+        assert 'Attributes' in retvals
+
+        # Check for correct updates
+        item1_updated = table.get_item(item1_key, item1_range,
+                                       consistent_read=True)
+        assert item1_updated['Replies'] == item1_attrs['Replies'] + 2
+        self.assertFalse(removed_attr in item1_updated)
+        self.assertTrue(removed_tag not in item1_updated['Tags'])
+        self.assertTrue('RepliesBy' in item1_updated)
+        self.assertTrue(item1_updated['RepliesBy'] == replies_by_set)
+
+        # Put a few more items into the table
+        item2_key = 'Amazon DynamoDB'
+        item2_range = 'DynamoDB Thread 2'
+        item2_attrs = {
+            'Message': 'DynamoDB thread 2 message text',
+            'LastPostedBy': 'User A',
+            'Views': 0,
+            'Replies': 0,
+            'Answered': 0,
+            'Tags': set(["index", "primarykey", "table"]),
+            'LastPost2DateTime':  '12/9/2011 11:36:03 PM'}
+        item2 = table.new_item(item2_key, item2_range, item2_attrs)
+        item2.put()
+
+        item3_key = 'Amazon S3'
+        item3_range = 'S3 Thread 1'
+        item3_attrs = {
+            'Message': 'S3 Thread 1 message text',
+            'LastPostedBy': 'User A',
+            'Views': 0,
+            'Replies': 0,
+            'Answered': 0,
+            'Tags': set(['largeobject', 'multipart upload']),
+            'LastPostDateTime': '12/9/2011 11:36:03 PM'
+        }
+        item3 = table.new_item(item3_key, item3_range, item3_attrs)
+        item3.put()
+
+        # Put an item into the second table
+        table2_item1_key = uuid.uuid4().hex
+        table2_item1_attrs = {
+            'DateTimePosted': '25/1/2011 12:34:56 PM',
+            'Text': 'I think boto rocks and so does DynamoDB'
+        }
+        table2_item1 = table2.new_item(table2_item1_key,
+                                       attrs=table2_item1_attrs)
+        table2_item1.put()
+
+        # Try a few queries
+        items = table.query('Amazon DynamoDB', range_key_condition=BEGINS_WITH('DynamoDB'))
+        n = 0
+        for item in items:
+            n += 1
+        assert n == 2
+        assert items.consumed_units > 0
+
+        items = table.query('Amazon DynamoDB', range_key_condition=BEGINS_WITH('DynamoDB'),
+                            request_limit=1, max_results=1)
+        n = 0
+        for item in items:
+            n += 1
+        assert n == 1
+        assert items.consumed_units > 0
+
+        # Try a few scans
+        items = table.scan()
+        n = 0
+        for item in items:
+            n += 1
+        assert n == 3
+        assert items.consumed_units > 0
+
+        items = table.scan(scan_filter={'Replies': GT(0)})
+        n = 0
+        for item in items:
+            n += 1
+        assert n == 1
+        assert items.consumed_units > 0
+
+        # Test some integer and float attributes
+        integer_value = 42
+        float_value = 345.678
+        item3['IntAttr'] = integer_value
+        item3['FloatAttr'] = float_value
+
+        # Test booleans
+        item3['TrueBoolean'] = True
+        item3['FalseBoolean'] = False
+
+        # Test some set values
+        integer_set = set([1, 2, 3, 4, 5])
+        float_set = set([1.1, 2.2, 3.3, 4.4, 5.5])
+        mixed_set = set([1, 2, 3.3, 4, 5.555])
+        str_set = set(['foo', 'bar', 'fie', 'baz'])
+        item3['IntSetAttr'] = integer_set
+        item3['FloatSetAttr'] = float_set
+        item3['MixedSetAttr'] = mixed_set
+        item3['StrSetAttr'] = str_set
+        item3.put()
+
+        # Now do a consistent read
+        item4 = table.get_item(item3_key, item3_range, consistent_read=True)
+        assert item4['IntAttr'] == integer_value
+        assert item4['FloatAttr'] == float_value
+        assert bool(item4['TrueBoolean']) is True
+        assert bool(item4['FalseBoolean']) is False
+        # The values will not necessarily be in the same order as when
+        # we wrote them to the DB.
+        for i in item4['IntSetAttr']:
+            assert i in integer_set
+        for i in item4['FloatSetAttr']:
+            assert i in float_set
+        for i in item4['MixedSetAttr']:
+            assert i in mixed_set
+        for i in item4['StrSetAttr']:
+            assert i in str_set
+
+        # Try a batch get
+        batch_list = c.new_batch_list()
+        batch_list.add_batch(table, [(item2_key, item2_range),
+                                     (item3_key, item3_range)])
+        response = batch_list.submit()
+        assert len(response['Responses'][table.name]['Items']) == 2
+
+        # Try an empty batch get
+        batch_list = c.new_batch_list()
+        batch_list.add_batch(table, [])
+        response = batch_list.submit()
+        assert response == {}
+
+        # Try a few batch write operations
+        item4_key = 'Amazon S3'
+        item4_range = 'S3 Thread 2'
+        item4_attrs = {
+            'Message': 'S3 Thread 2 message text',
+            'LastPostedBy': 'User A',
+            'Views': 0,
+            'Replies': 0,
+            'Answered': 0,
+            'Tags': set(['largeobject', 'multipart upload']),
+            'LastPostDateTime': '12/9/2011 11:36:03 PM'
+        }
+        item5_key = 'Amazon S3'
+        item5_range = 'S3 Thread 3'
+        item5_attrs = {
+            'Message': 'S3 Thread 3 message text',
+            'LastPostedBy': 'User A',
+            'Views': 0,
+            'Replies': 0,
+            'Answered': 0,
+            'Tags': set(['largeobject', 'multipart upload']),
+            'LastPostDateTime': '12/9/2011 11:36:03 PM'
+        }
+        item4 = table.new_item(item4_key, item4_range, item4_attrs)
+        item5 = table.new_item(item5_key, item5_range, item5_attrs)
+        batch_list = c.new_batch_write_list()
+        batch_list.add_batch(table, puts=[item4, item5])
+        response = batch_list.submit()
+        # should really check for unprocessed items
+
+        # Do some generator gymnastics
+        results = table.scan(scan_filter={'Tags': CONTAINS('table')})
+        assert results.scanned_count == 5
+        results = table.scan(request_limit=2, max_results=5)
+        assert results.count == 2
+        for item in results:
+            if results.count == 2:
+                assert results.remaining == 4
+                results.remaining -= 2
+                results.next_response()
+            else:
+                assert results.count == 4
+                assert results.remaining in (0, 1)
+        assert results.count == 4
+        results = table.scan(request_limit=6, max_results=4)
+        assert len(list(results)) == 4
+        assert results.count == 4
+
+        batch_list = c.new_batch_write_list()
+        batch_list.add_batch(table, deletes=[(item4_key, item4_range),
+                                             (item5_key, item5_range)])
+        response = batch_list.submit()
+
+        # Try queries
+        results = table.query('Amazon DynamoDB', range_key_condition=BEGINS_WITH('DynamoDB'))
+        n = 0
+        for item in results:
+            n += 1
+        assert n == 2
+
+        # Try to delete the item with the right Expected value
+        expected = {'Views': 0}
+        item1.delete(expected_value=expected)
+
+        self.assertFalse(table.has_item(item1_key, range_key=item1_range,
+                                        consistent_read=True))
+        # Now delete the remaining items
+        ret_vals = item2.delete(return_values='ALL_OLD')
+        # some additional checks here would be useful
+        assert ret_vals['Attributes'][self.hash_key_name] == item2_key
+        assert ret_vals['Attributes'][self.range_key_name] == item2_range
+
+        item3.delete()
+        table2_item1.delete()
+        print '--- tests completed ---'
+
+    def test_binary_attrs(self):
+        c = self.dynamodb
+        schema = c.create_schema(self.hash_key_name, self.hash_key_proto_value,
+                                 self.range_key_name,
+                                 self.range_key_proto_value)
+        index = int(time.time())
+        table_name = 'test-%d' % index
+        read_units = 5
+        write_units = 5
+        table = self.create_table(table_name, schema, read_units, write_units)
+        table.refresh(wait_for_active=True)
+        item1_key = 'Amazon S3'
+        item1_range = 'S3 Thread 1'
+        item1_attrs = {
+            'Message': 'S3 Thread 1 message text',
+            'LastPostedBy': 'User A',
+            'Views': 0,
+            'Replies': 0,
+            'Answered': 0,
+            'BinaryData': Binary('\x01\x02\x03\x04'),
+            'BinarySequence': set([Binary('\x01\x02'), Binary('\x03\x04')]),
+            'Tags': set(['largeobject', 'multipart upload']),
+            'LastPostDateTime': '12/9/2011 11:36:03 PM'
+        }
+        item1 = table.new_item(item1_key, item1_range, item1_attrs)
+        item1.put()
+
+        retrieved = table.get_item(item1_key, item1_range, consistent_read=True)
+        self.assertEqual(retrieved['Message'], 'S3 Thread 1 message text')
+        self.assertEqual(retrieved['Views'], 0)
+        self.assertEqual(retrieved['Tags'],
+                         set(['largeobject', 'multipart upload']))
+        self.assertEqual(retrieved['BinaryData'], Binary('\x01\x02\x03\x04'))
+        # Also comparable directly to bytes:
+        self.assertEqual(retrieved['BinaryData'], bytes('\x01\x02\x03\x04'))
+        self.assertEqual(retrieved['BinarySequence'],
+                         set([Binary('\x01\x02'), Binary('\x03\x04')]))
+
+    def test_put_decimal_attrs(self):
+        self.dynamodb.use_decimals()
+        table = self.create_sample_table()
+        item = table.new_item('foo', 'bar')
+        item['decimalvalue'] = Decimal('1.12345678912345')
+        item.put()
+        retrieved = table.get_item('foo', 'bar')
+        self.assertEqual(retrieved['decimalvalue'], Decimal('1.12345678912345'))
+
+    def test_lossy_float_conversion(self):
+        table = self.create_sample_table()
+        item = table.new_item('foo', 'bar')
+        item['floatvalue'] = 1.12345678912345
+        item.put()
+        retrieved = table.get_item('foo', 'bar')['floatvalue']
+        # Notice how this is not equal to the original value.
+        self.assertNotEqual(1.12345678912345, retrieved)
+        # Instead, it's truncated:
+        self.assertEqual(1.12345678912, retrieved)
+
+    def test_large_integers(self):
+        # It's not just floating point numbers, large integers
+        # can trigger rouding issues.
+        self.dynamodb.use_decimals()
+        table = self.create_sample_table()
+        item = table.new_item('foo', 'bar')
+        item['decimalvalue'] = Decimal('129271300103398600')
+        item.put()
+        retrieved = table.get_item('foo', 'bar')
+        self.assertEqual(retrieved['decimalvalue'], Decimal('129271300103398600'))
+        # Also comparable directly to an int.
+        self.assertEqual(retrieved['decimalvalue'], 129271300103398600)