def test_convert_from_tags():
tag_name1 = factories.Tag.stub().name
tag_name2 = factories.Tag.stub().name
vocab = factories.Vocabulary(tags=[
{
"name": tag_name1
},
{
"name": tag_name2
},
])
key = "tags"
data = {
("tags", 0, "__extras"): {
"name": tag_name1,
"vocabulary_id": vocab["id"],
},
("tags", 1, "__extras"): {
"name": tag_name2,
"vocabulary_id": vocab["id"],
},
}
errors = []
context = {"model": model, "session": model.Session}
converters.convert_from_tags(vocab["name"])(key, data, errors, context)
assert tag_name1 in data["tags"]
assert tag_name2 in data["tags"]
def test_vocab_does_not_exist(self):
vocab = factories.Vocabulary(tags=[{"name": "testtag"}])
tag = vocab["tags"][0]
with pytest.raises(logic.NotFound):
helpers.call_action("tag_delete",
id=tag["id"],
vocabulary_id="not-a-real-id")
def test_free_tags_only():
tag_name1 = factories.Tag.stub().name
tag_name2 = factories.Tag.stub().name
vocab = factories.Vocabulary(tags=[
{
"name": tag_name1
},
{
"name": tag_name2
},
])
key = ("tags", 0, "__extras")
data = {
("tags", 0, "__extras"): {
"name": tag_name1,
"vocabulary_id": vocab["id"],
},
("tags", 0, "vocabulary_id"): vocab["id"],
("tags", 1, "__extras"): {
"name": tag_name2,
"vocabulary_id": None
},
("tags", 1, "vocabulary_id"): None,
}
errors = []
context = {"model": model, "session": model.Session}
converters.free_tags_only(key, data, errors, context)
assert len(data) == 2
assert ("tags", 1, "vocabulary_id") in data.keys()
assert ("tags", 1, "__extras") in data.keys()
def test_basic(self):
vocab = factories.Vocabulary()
helpers.call_action("vocabulary_delete", id=vocab["id"])
assert vocab["id"] not in {
v["name"]
for v in helpers.call_action("vocabulary_list")
}
def test_convert_to_tags():
tag_name = factories.Tag.stub().name
vocab = factories.Vocabulary(tags=[{"name": tag_name}])
key = ("vocab_tags", )
data = {key: tag_name}
context = {"model": model, "session": model.Session}
converters.convert_to_tags(vocab["name"])(key, data, [], context)
assert data[("tags", 0, "name")] == tag_name
assert data[("tags", 0, "vocabulary_id")] == vocab["id"]
def test_vocabulary_dictize_not_including_datasets(self):
"""By default datasets should not be included in vocab dicts."""
vocab_dict = factories.Vocabulary(
tags=[dict(name="test_tag_1"), dict(name="test_tag_2")])
factories.Dataset(tags=vocab_dict["tags"])
vocab_obj = model.Vocabulary.get(vocab_dict["name"])
vocab_dict = model_dictize.vocabulary_dictize(
vocab_obj, context={"model": model})
assert len(vocab_dict["tags"]) == 2
for tag in vocab_dict["tags"]:
assert len(tag.get("packages", [])) == 0
def test_vocabulary_dictize_including_datasets(self):
"""include_datasets=True should include datasets in vocab dicts."""
vocab_dict = factories.Vocabulary(
tags=[dict(name="test_tag_1"), dict(name="test_tag_2")])
factories.Dataset(tags=vocab_dict["tags"])
vocab_obj = model.Vocabulary.get(vocab_dict["name"])
vocab_dict = model_dictize.vocabulary_dictize(
vocab_obj, context={"model": model}, include_datasets=True)
assert len(vocab_dict["tags"]) == 2
for tag in vocab_dict["tags"]:
assert len(tag["packages"]) == 1
def test_basic(self):
vocab = factories.Vocabulary()
helpers.call_action("vocabulary_delete", id=vocab["id"])
assert helpers.call_action("vocabulary_list") == []
