def parameters(cls):
sid_enum = cls._DB_CONNECTOR.distinct(PROBE_EXPERIMENTS_COLLECTION,
SAMPLE_ID)
rid_enum = cls._DB_CONNECTOR.distinct(PROBE_EXPERIMENTS_COLLECTION,
RUN_ID)
pid_enum = cls._DB_CONNECTOR.distinct(PROBE_EXPERIMENTS_COLLECTION,
PROBE_ID)
date_enum = cls._DB_CONNECTOR.distinct(PROBE_EXPERIMENTS_COLLECTION,
DATE)
date_enum = map(lambda x: x.strftime("%Y_%m_%d"), date_enum)
parameters = [
ParameterFactory.format(),
ParameterFactory.lc_string(SAMPLE_ID,
"Genomic DNA Sample ID(s).",
required=False,
allow_multiple=True,
enum=sid_enum),
ParameterFactory.lc_string(RUN_ID, "Run ID(s).",
required=False,
allow_multiple=True,
enum=rid_enum),
ParameterFactory.lc_string(PROBE_ID, "Probe ID(s).",
required=False,
allow_multiple=True,
enum=pid_enum),
ParameterFactory.date(required=False, enum=date_enum)
]
return parameters
def parameters(cls):
cls._file_param = ParameterFactory.file("Experiment results file.")
cls._sid_param = ParameterFactory.lc_string(SAMPLE_ID,
"Genomic DNA Sample ID.")
cls._rid_param = ParameterFactory.lc_string(RUN_ID, "Run ID.")
cls._date_param = ParameterFactory.date()
parameters = [
cls._file_param,
cls._sid_param,
cls._rid_param,
cls._date_param,
]
return parameters
def parameters(cls):
cls._users_param = ParameterFactory.lc_string(USERS,
"Username(s) of individual(s) that performed the run (e.g. ddicara)",
allow_multiple=True)
cls._date_param = ParameterFactory.date()
cls._archive_param = ParameterFactory.archive()
cls._beta_param = ParameterFactory.integer(BETA,
"Beta (e.g. 17)", required=True, minimum=1, maximum=100)
cls._device_param = ParameterFactory.cs_string(DEVICE,
"Device description (e.g. PDMS bonded on COP)")
cls._dye_profile_metrics_param = ParameterFactory.dye_profile_metrics()
cls._surfactant_param = ParameterFactory.cs_string(SURFACTANT,
"Surfactant (e.g. RAN 002-105).")
parameters = [
cls._users_param,
cls._date_param,
cls._archive_param,
cls._beta_param,
cls._device_param,
cls._dye_profile_metrics_param,
cls._surfactant_param,
]
return parameters