def test_duplicate_variable():
v1 = tf.Variable("var1", dict(default=1))
v2 = tf.Variable("var1", dict(other=42))
c = tf.Context(strict=True)
c += v1
with pytest.raises(tf.DuplicateBlockError):
c += v2
def test_multiple_variables():
c = tf.Context()
c += tf.Variable('foo', dict(
type='string'
))
c += tf.Variable('bar', dict(
default='whatever'
))
assert {'variable': {'foo': {'type': 'string'},
'bar': {'default': 'whatever'}}} == c.data
def test_share_resource():
t = tf.Variable("var1", dict(default=1))
c = tf.Context()
c += t
t.name = 'var2'
c += t
assert c.data == {'variable': {'var2': {'default': 1}}}
def test_copy_resource():
t = tf.Variable("var1", dict(default=1))
c = tf.Context()
c += deepcopy(t)
t.name = 'var2'
c += t
assert c.data == {'variable': {'var1': {'default': 1},
'var2': {'default': 1}}}
def test_many_from_hcl_order():
c = tf.Context()
many = tf.many_from_hcl("""
variable "" {
default = "1"
}
variable "a" {
default = "1"
}
variable "a/b" {
default = "1"
}
variable "a/b/c" {
default = "1"
}
""")
assert [tf.Variable(name="", body={'default': '1'}),
tf.Variable(name="a", body={'default': '1'}),
tf.Variable(name="a/b", body={'default': '1'}),
tf.Variable(name="a/b/c", body={'default': '1'})] == many
def test_iadd():
a = tf.Context()
assert {} == a.data
a += tf.Variable('foo', {'type': 'string'})
assert {'variable': {'foo': {'type': 'string'}}} == a.data
def test_variable2():
c = tf.Context()
c += tf.Variable('foo', dict(
type='string'
))
assert {'variable': {'foo': {'type': 'string'}}} == c.data
def test_variable1():
c = tf.Context()
c += tf.Variable('foo')
assert {'variable': {'foo': {}}} == c.data