Source code for banffprocessor.procedures.banff_procedures.deterministic
import banff.exceptions
from banff import determin
from banff._log import log_levels
# Import must be absolute in order to ensure all modules reference the same global _c_handlers
import banffprocessor.processor_logger as plg
from banffprocessor.nls import _
from banffprocessor.procedures import factory
from banffprocessor.processor_data import ProcessorData
from banffprocessor.util.dataset import table_empty
# Setup local log for processor module specifically
log_lcl = plg.get_processor_child_logger("deterministic")
# Required Metadata Files: "editgroups", "edits"
# Optional Metadata Files = "varlists"
[docs]
class Deterministic:
"""Implements the Deterministic Banff procedure as a `:class:banffprocessor.procedures.procedure_interface`."""
[docs]
@classmethod
def execute(cls, processor_data: ProcessorData) -> int:
"""Execute the banff.determin call, and returns the results."""
# alias the param name to shorten references
bp = processor_data
job_step = bp.current_job_step
# Get the edit strings by concatenating the edits we need filtered on the editgroupid
proc_edits = None
if(job_step.editgroupid):
proc_edits = bp.metaobjects.get_edits_string(job_step.editgroupid)
# Imputed_File should always have data by this point, but we'll make sure to pass None
# instead of an empty table to the banff call just to make sure we don't pass an empty table
status_file = bp.get_dataset("status_file")
imputed_file = bp.get_dataset("imputed_file")
# Form our Banff call
try:
banff_call = determin(
# Not supposed to provide these as False, only True or None
accept_negative=job_step.acceptnegative,
no_by_stats=bp.input_params.no_by_stats,
prefill_by_vars=True,
presort=True,
edits=proc_edits if proc_edits else None,
unit_id=bp.input_params.unit_id,
by=" ".join(bp.by_varlist) if bp.by_varlist else None,
indata=imputed_file if imputed_file is not None and not table_empty(imputed_file) else None,
instatus=status_file if status_file is not None and not table_empty(status_file) else None,
outdata="pyarrow",
outstatus="pyarrow",
# We want everything captured while an input param configures the handlers
# which indirectly filter.
trace=log_levels.NOTSET,
# Note that capture=None will supress console output in new version so use False or omit
logger=log_lcl,
_BP_c_log_handlers=plg.get_c_handlers(),
)
except banff.exceptions.ProcedureCError as e:
msg = _("An error occured during execution of this procedure.")
log_lcl.exception(msg)
return e.return_code # Get the return code from the exception
# set datasets on processor_data so that our flags will make the update to the originals
bp.outstatus = banff_call.outstatus
bp.outdata = banff_call.outdata
return banff_call.rc
[docs]
def register(factory: factory) -> None:
"""Register this procedure class in the Banff processor procedure factory."""
factory.register("deterministic", Deterministic)