def __init__(self, config: PbenchServerConfig, logger: Logger):
super().__init__(
config,
logger,
Schema(
Parameter("user", ParamType.USER, required=True),
Parameter("start", ParamType.DATE, required=True),
Parameter("end", ParamType.DATE, required=True),
),
)
def __init__(self, config: PbenchServerConfig, logger: Logger):
super().__init__(
config,
logger,
Schema(
Parameter("controller", ParamType.STRING, required=True),
Parameter("name", ParamType.STRING, required=True),
Parameter("access", ParamType.ACCESS, required=True),
),
role=API_OPERATION.UPDATE,
)
def __init__(self, config: PbenchServerConfig, logger: Logger):
super().__init__(
config,
logger,
Schema(
Parameter("user", ParamType.USER, required=False),
Parameter("access", ParamType.ACCESS, required=False),
Parameter("name", ParamType.STRING, required=True),
Parameter("start", ParamType.DATE, required=True),
Parameter("end", ParamType.DATE, required=True),
),
)
class TestSchema:
"""
Tests on the Schema class
"""
schema = Schema(
Parameter("key1", ParamType.STRING, required=True),
Parameter("key2", ParamType.JSON),
Parameter("key3", ParamType.DATE),
)
def test_bad_payload(self):
with pytest.raises(InvalidRequestPayload):
self.schema.validate(None)
def test_missing_required(self):
with pytest.raises(MissingParameters):
self.schema.validate({"key2": "abc"})
def test_missing_optional(self):
test = {"key1": "OK"}
assert test == self.schema.validate(test)
def test_bad_dates(self):
with pytest.raises(ConversionError):
self.schema.validate({"key1": "yes", "key3": "2000-02-56"})
def test_null_required(self):
with pytest.raises(MissingParameters):
self.schema.validate({"key1": None})
def test_bad_json(self):
with pytest.raises(ConversionError):
self.schema.validate({"key1": 1, "key2": "not JSON"})
def test_all_clear(self):
payload = {
"key1": "name",
"key3": "2021-06-29",
"key2": {
"json": True,
"key": "abc"
},
}
expected = payload.copy()
expected["key3"] = dateutil.parser.parse(expected["key3"])
assert expected == self.schema.validate(payload)
def __init__(self, config: PbenchServerConfig, logger: Logger):
"""
__init__ Configure the Elasticsearch passthrough class
NOTE: there are three "expected" JSON input parameters, but only two of
these are required and therefore appear in the schema.
TODO: the schema could be extended to include both the type and a
"required" flag; is that worthwhile? This would allow automatic type
check/conversion of optional parameters, which would be cleaner.
Args:
config: Pbench configuration object
logger: logger object
"""
super().__init__(
config,
logger,
Schema(
Parameter("indices", ParamType.STRING, required=True),
Parameter("payload", ParamType.JSON),
Parameter("params", ParamType.JSON),
),
)
def __init__(self, config: PbenchServerConfig, logger: Logger):
super().__init__(config, logger, Schema())
def __init__(self, config: PbenchServerConfig, logger: Logger):
super().__init__(config, logger, Schema())
template = Template.find("run")
self.template_name = template.template_name + "."
self.logger.info("month index key is {}", self.template_name)