Source code for sas.qtgui.Perspectives.Fitting.ConsoleUpdate

import time
import logging
from sas.sascalc.fit import FitHandler

[docs]class ConsoleUpdate(FitHandler): """ Print progress to the console. """ isbetter = False """Record whether results improved since last update""" progress_delta = 60 """Number of seconds between progress updates""" improvement_delta = 5 """Number of seconds between improvement updates""" def __init__(self, parent, manager=None, quiet=False, progress_delta=60, improvement_delta=5): """ If quiet is true, only print out final summary, not progress and improvements. :attr parent: the object that handle the messages """ self.parent = parent self.manager = manager self.progress_time = time.time() self.progress_percent = 0 self.improvement_time = self.progress_time self.isbetter = False self.quiet = quiet self.progress_delta = progress_delta self.improvement_delta = improvement_delta self.elapsed_time = time.time() self.update_duration = time.time() self.fit_duration = 0
[docs] def progress(self, k, n): """ Report on progress. """ if self.quiet: return t = time.time() p = int((100 * k) // n) # Show improvements if there are any dt = t - self.improvement_time if self.isbetter and dt > self.improvement_delta: #self.result.print_summary() self.update_fit() self.isbetter = False self.improvement_time = t # Update percent complete dp = p - self.progress_percent if dp < 1: return dt = t - self.progress_time if dt > self.progress_delta: if 1 <= dp <= 2: self.progress_percent = p self.progress_time = t self.update_fit() elif 2 < dp <= 5: if p // 5 != self.progress_percent // 5: self.progress_percent = p self.progress_time = t else: if p // 10 != self.progress_percent // 10: self.progress_percent = p self.progress_time = t self.update_fit()
[docs] def improvement(self): """ Called when a result is observed which is better than previous results from the fit. """ self.isbetter = True
[docs] def print_result(self): """ Print result object """ msg = " \n %s \n" % str(self.result) logging.info(msg)
[docs] def error(self, msg): """ Model had an error; print traceback """ if self.isbetter: self.update_fit() message = str(msg) + " \n %s \n" % self.result.__str__() logging.error(message)
[docs] def stop(self, msg): """ Post event msg and stop """ if self.isbetter: self.update_fit() message = str(msg) + " \n %s \n" % self.result.__str__() logging.info(message)
[docs] def finalize(self): """ """ if self.isbetter: self.update_fit()
[docs] def abort(self): """ """ if self.isbetter: self.update_fit()
[docs] def update_fit(self, last=False): """ """ t1 = time.time() self.elapsed_time = t1 - self.update_duration self.update_duration = t1 self.fit_duration += self.elapsed_time str_time = time.strftime("%Y-%m-%d %H:%M:%S ", time.localtime(t1)) UPDATE_INTERVAL = 5.0 u_flag = False if self.fit_duration >= UPDATE_INTERVAL: self.fit_duration = 0 u_flag = True msg = str_time if u_flag or last: if self.result is not None: data_name, model_name = None, None d_flag = (hasattr(self.result, "data") and \ self.result.data is not None and \ hasattr(self.result.data, "sas_data") and self.result.data.sas_data is not None) m_flag = (hasattr(self.result, "model") and \ self.result.model is not None) if d_flag: data_name = self.result.data.sas_data.name if m_flag: model_name = str(self.result.model.name) if m_flag and d_flag: msg += "Data : %s \n" % (str(data_name)) msg += str(self.result) msg += "\n" logging.info(msg)
[docs] def set_result(self, result): """ """ self.result = result
[docs] def get_result(self): """ """ return self.result