def load_cases():
return load_parameter_sets(rel2abs(__file__, "..", "matrices", "lib_normalise_url"), "normalise_url", "test_id",
{"test_id" : []})
def load_cases():
return load_parameter_sets(
rel2abs(__file__, "..", "resources", "bundles", "combine"), "combine",
"test_id", {"test_id": []})
def load_cases():
return load_parameter_sets(
rel2abs(__file__, "..", "matrices", "article_discover_duplicates"),
"discover_duplicates", "test_id", {"test_id": []})
def load_cases():
return load_parameter_sets(
rel2abs(__file__, "..", "matrices", "article_batch_create_article"),
"batch_create_article", "test_id", {"test_id": []})
def load_cases():
return load_parameter_sets(
rel2abs(__file__, "..", "matrices", "bll_journal_csv"), "journal_csv",
"test_id", {"test_id": []})
def load_cases():
return load_parameter_sets(
rel2abs(__file__, "..", "matrices", "article_is_legitimate_owner"),
"is_legitimate_owner", "test_id", {"test_id": []})
def load_cases():
return load_parameter_sets(rel2abs(__file__, "..", "matrices", "article_batch_create_article"), "batch_create_article", "test_id",
{"test_id" : []})
def load_cases():
return load_parameter_sets(
rel2abs(__file__, "..", "matrices", "tasks.public_data_dump"),
"data_dump", "test_id", {"test_id": []})
def load_cases():
return load_parameter_sets(rel2abs(__file__, "..", "matrices", "tasks.public_data_dump"), "data_dump", "test_id",
{"test_id" : []})
def test_load_parameter_sets(self, name, kwargs):
bundle_path_arg = kwargs.get("bundle_path")
bundle_name_arg = kwargs.get("bundle_name")
name_field_arg = kwargs.get("name_field")
filters_arg = kwargs.get("filters")
settings_csv_arg = kwargs.get("settings_csv")
settings_json_arg = kwargs.get("settings_json")
matrix_arg = kwargs.get("matrix")
settings_csv_age_arg = kwargs.get("settings_csv_age")
settings_json_age_arg = kwargs.get("settings_json_age")
matrix_age_arg = kwargs.get("matrix_age")
raises_arg = kwargs.get("raises")
raises = EXCEPTIONS.get(raises_arg)
bundle_path = BUNDLE_PATHS[bundle_path_arg]
bundle_name = BUNDLE_NAMES[bundle_name_arg]
name_field = NAME_FIELDS[name_field_arg]
filters = FILTERS[filters_arg]
modified_order = {}
if settings_csv_age_arg not in ["-"]:
modified_order[int(settings_csv_age_arg)] = "settings_csv"
if settings_json_age_arg not in ["-"]:
modified_order[int(settings_json_age_arg)] = "settings_json"
if matrix_age_arg not in ["-"]:
modified_order[int(matrix_age_arg)] = "matrix"
order_spec = modified_order.keys()
order_spec.sort()
order = []
for o in order_spec:
order.append(modified_order[o])
bundle_info = SettingsBundleFactory.make_bundle(
settings_csv_arg, settings_json_arg, matrix_arg, order)
if raises is not None:
with self.assertRaises(raises):
load_parameter_sets(bundle_path, bundle_name, name_field,
filters)
else:
combinations = load_parameter_sets(bundle_path, bundle_name,
name_field, filters)
# categorise the files into the three types:
# 1. forward files - they should exist and have new modified dates
# 2. current - it should exist and have an unmodified date
# 3. past - may exist or not, and if exists should have an unmodified date
forward = []
current = None
past = []
# seek through the ordered items, looking for the item that we would expect to be
# the one the run picks up on as the primary artefact. This will be the earliest present
# file
seek = ["settings_csv", "settings_json", "matrix"]
for o in seek:
if bundle_info[o]["status"] == "present":
current = o
break
# sort the list of possible files into past and forward
mode = "past"
for stage in seek:
if stage == current:
mode = "forward"
continue
if mode == "past":
past.append(stage)
elif mode == "forward":
forward.append(stage)
# now run the checks on each of these bins
for p in past:
assert not os.path.exists(bundle_info[p]["path"])
assert os.path.exists(bundle_info[current]["path"])
mtime = os.path.getmtime(bundle_info[current]["path"])
assert mtime == bundle_info[current]["mtime"]
for f in forward:
assert os.path.exists(bundle_info[f]["path"])
mtime = os.path.getmtime(bundle_info[f]["path"])
assert mtime > bundle_info[f]["mtime"]
if filters_arg == "none":
assert len(combinations) == 8
elif filters_arg == "single_filter":
assert len(combinations) == 1
elif filters_arg == "double_filter":
assert len(combinations) == 2
def prepare_update_publisher_load_cases():
return load_parameter_sets(rel2abs(__file__, "..", "matrices", "article_create_article"), "prepare_update_publisher",
"test_id",
{"test_id": []})
def load_cases():
return load_parameter_sets(
rel2abs(__file__, "..", "matrices", "article_issn_ownership_status"),
"issn_ownership_status", "test_id", {"test_id": []})
def load_cases():
return load_parameter_sets(rel2abs(__file__, "..", "matrices", "bll_journal_csv"), "journal_csv", "test_id",
{"test_id" : []})
def load_cases():
return load_parameter_sets(rel2abs(__file__, "..", "matrices", "article_discover_duplicates"), "discover_duplicates", "test_id",
{"test_id" : []})
def is_acceptable_load_cases():
return load_parameter_sets(rel2abs(__file__, "..", "matrices", "article_create_article"), "is_acceptable",
"test_id",
{"test_id": []})
