def mock_model():
return mock.MagicMock(
__class__=ParsedModelNode,
alias='model_one',
name='model_one',
database='dbt',
schema='analytics',
resource_type=NodeType.Model,
unique_id='model.root.model_one',
fqn=['root', 'model_one'],
package_name='root',
original_file_path='model_one.sql',
root_path='/usr/src/app',
refs=[],
sources=[],
depends_on=DependsOn(),
config=NodeConfig.from_dict({
'enabled': True,
'materialized': 'view',
'persist_docs': {},
'post-hook': [],
'pre-hook': [],
'vars': {},
'quoting': {},
'column_types': {},
'tags': [],
}),
tags=[],
path='model_one.sql',
raw_sql='',
description='',
columns={},
)
def setUp(self):
dbt.flags.STRICT_MODE = True
self.maxDiff = None
self.root_project_config = {
'name': 'root_project',
'version': '0.1',
'profile': 'test',
'project-root': os.path.abspath('.'),
}
self.snowplow_project_config = {
'name': 'snowplow',
'version': '0.1',
'project-root': os.path.abspath('./dbt_modules/snowplow'),
}
self.model_config = NodeConfig.from_dict({
'enabled': True,
'materialized': 'view',
'persist_docs': {},
'post-hook': [],
'pre-hook': [],
'vars': {},
'quoting': {},
'column_types': {},
'tags': [],
})
def setUp(self):
self.model = ParsedModelNode(
alias='model_one',
name='model_one',
database='dbt',
schema='analytics',
resource_type=NodeType.Model,
unique_id='model.root.model_one',
fqn=['root', 'model_one'],
package_name='root',
original_file_path='model_one.sql',
root_path='/usr/src/app',
refs=[],
sources=[],
depends_on=DependsOn(),
config=NodeConfig.from_dict({
'enabled': True,
'materialized': 'view',
'persist_docs': {},
'post-hook': [],
'pre-hook': [],
'vars': {},
'quoting': {},
'column_types': {},
'tags': [],
}),
tags=[],
path='model_one.sql',
raw_sql='',
description='',
columns={},
checksum=FileHash.from_contents(''),
)
self.context = mock.MagicMock()
self.provider = VarProvider({})
self.config = mock.MagicMock(config_version=2,
vars=self.provider,
cli_vars={},
project_name='root')
def setUp(self):
dbt.flags.STRICT_MODE = True
self.maxDiff = None
self.model_config = NodeConfig.from_dict({
'enabled': True,
'materialized': 'view',
'persist_docs': {},
'post-hook': [],
'pre-hook': [],
'vars': {},
'quoting': {},
'column_types': {},
'tags': [],
})
project_cfg = {
'name': 'X',
'version': '0.1',
'profile': 'test',
'project-root': '/tmp/dbt/does-not-exist',
'config-version': 2,
}
profile_cfg = {
'outputs': {
'test': {
'type': 'postgres',
'dbname': 'postgres',
'user': '******',
'host': 'thishostshouldnotexist',
'pass': '******',
'port': 5432,
'schema': 'public'
}
},
'target': 'test'
}
self.config = config_from_parts_or_dicts(project_cfg, profile_cfg)
self._generate_runtime_model_patch = patch.object(dbt.compilation, 'generate_runtime_model')
self.mock_generate_runtime_model = self._generate_runtime_model_patch.start()
inject_adapter(Plugin.adapter(self.config), Plugin)
# self.mock_adapter = PostgresAdapter MagicMock(type=MagicMock(return_value='postgres'))
# self.mock_adapter.Relation =
# self.mock_adapter.get_compiler.return_value = dbt.compilation.Compiler
# self.mock_plugin = MagicMock(
# adapter=MagicMock(
# credentials=MagicMock(return_value='postgres')
# )
# )
# inject_adapter(self.mock_adapter, self.mock_plugin)
# so we can make an adapter
def mock_generate_runtime_model_context(model, config, manifest):
def ref(name):
result = f'__dbt__cte__{name}'
unique_id = f'model.root.{name}'
model.extra_ctes.append(InjectedCTE(id=unique_id, sql=None))
return result
return {'ref': ref}
self.mock_generate_runtime_model.side_effect = mock_generate_runtime_model_context
def setUp(self):
dbt.flags.STRICT_MODE = True
self.maxDiff = None
self.model_config = NodeConfig.from_dict({
'enabled': True,
'materialized': 'view',
'persist_docs': {},
'post-hook': [],
'pre-hook': [],
'vars': {},
'quoting': {},
'column_types': {},
'tags': [],
})
self.nested_nodes = {
'model.snowplow.events':
ParsedModelNode(name='events',
database='dbt',
schema='analytics',
alias='events',
resource_type=NodeType.Model,
unique_id='model.snowplow.events',
fqn=['snowplow', 'events'],
package_name='snowplow',
refs=[],
sources=[],
depends_on=DependsOn(),
config=self.model_config,
tags=[],
path='events.sql',
original_file_path='events.sql',
root_path='',
raw_sql='does not matter'),
'model.root.events':
ParsedModelNode(name='events',
database='dbt',
schema='analytics',
alias='events',
resource_type=NodeType.Model,
unique_id='model.root.events',
fqn=['root', 'events'],
package_name='root',
refs=[],
sources=[],
depends_on=DependsOn(),
config=self.model_config,
tags=[],
path='events.sql',
original_file_path='events.sql',
root_path='',
raw_sql='does not matter'),
'model.root.dep':
ParsedModelNode(name='dep',
database='dbt',
schema='analytics',
alias='dep',
resource_type=NodeType.Model,
unique_id='model.root.dep',
fqn=['root', 'dep'],
package_name='root',
refs=[['events']],
sources=[],
depends_on=DependsOn(nodes=['model.root.events']),
config=self.model_config,
tags=[],
path='multi.sql',
original_file_path='multi.sql',
root_path='',
raw_sql='does not matter'),
'model.root.nested':
ParsedModelNode(name='nested',
database='dbt',
schema='analytics',
alias='nested',
resource_type=NodeType.Model,
unique_id='model.root.nested',
fqn=['root', 'nested'],
package_name='root',
refs=[['events']],
sources=[],
depends_on=DependsOn(nodes=['model.root.dep']),
config=self.model_config,
tags=[],
path='multi.sql',
original_file_path='multi.sql',
root_path='',
raw_sql='does not matter'),
'model.root.sibling':
ParsedModelNode(name='sibling',
database='dbt',
schema='analytics',
alias='sibling',
resource_type=NodeType.Model,
unique_id='model.root.sibling',
fqn=['root', 'sibling'],
package_name='root',
refs=[['events']],
sources=[],
depends_on=DependsOn(nodes=['model.root.events']),
config=self.model_config,
tags=[],
path='multi.sql',
original_file_path='multi.sql',
root_path='',
raw_sql='does not matter'),
'model.root.multi':
ParsedModelNode(
name='multi',
database='dbt',
schema='analytics',
alias='multi',
resource_type=NodeType.Model,
unique_id='model.root.multi',
fqn=['root', 'multi'],
package_name='root',
refs=[['events']],
sources=[],
depends_on=DependsOn(
nodes=['model.root.nested', 'model.root.sibling']),
config=self.model_config,
tags=[],
path='multi.sql',
original_file_path='multi.sql',
root_path='',
raw_sql='does not matter'),
}
for node in self.nested_nodes.values():
node.validate(node.to_dict())
