sbsv2/raptor/python/raptor_timing.py
author timothy.murphy@nokia.com
Thu, 25 Mar 2010 13:43:28 +0000
branchfix
changeset 408 a819f9223567
parent 30 01c962c3f631
permissions -rw-r--r--
fix: stop using "magic" numbers in string operations for the copyannofile2log feature fix: When using the copylogfromannofile workaround, extract the build ID and build duration and add to the log as these are useful for analysis. The log should now be identical to the stdout file. fix: Remove extra blank lines from output in copylogfromannofile mode.

#
# Copyright (c) 2009 Nokia Corporation and/or its subsidiary(-ies).
# All rights reserved.
# This component and the accompanying materials are made available
# under the terms of the License "Eclipse Public License v1.0"
# which accompanies this distribution, and is available
# at the URL "http://www.eclipse.org/legal/epl-v10.html".
#
# Initial Contributors:
# Nokia Corporation - initial contribution.
#
# Contributors:
#
# Description: 
# timings API
# This API can be used to start and stop timings in order to measure performance
#
import time

class Timing(object):
	
	@classmethod
	def discovery_string(cls, object_type, count):
		"""
			Returns a tag that can be used to show what is about to be
					"processed"
			Parameters:
				object_type - string
					Type of object that is about to be "processed" in this task
				count - int
					Number of objects of input "object_type" are about to be
							"processed"
			Returns:
				string
					XML tag in the format that can be printed directly to a
							Raptor log
		"""
		return "<progress:discovery object_type='" + str(object_type) + \
				"' count='" + str(count) + "' />\n"
				
	
	@classmethod
	def start_string(cls, object_type, task, key):
		"""
			Returns a tag that can be used to show what is being "processed"
					and the time it started
			Parameters:
				object_type - string
					Type of object that is being "processed" in this task
				task - string
					What is being done with the object being "processed"
				key - string
					Unique identifier for the object being "processed"
			Returns:
				string
					XML tag in the format that can be printed directly to a
							Raptor log
		"""
		return "<progress:start object_type='" + str(object_type) + \
				"' task='" + str(task) + "' key='" + str(key) + \
				"' time='" + str(time.time()) + "' />\n"
	
	
	@classmethod
	def end_string(cls, object_type, task, key):
		"""
			Returns a tag that can be used to show what was being "processed"
					and the time it finished
			Parameters:
				object_type - string
					Type of object that was being "processed" in this task
				task - string
					What was being done with the object being "processed"
				key - string
					Unique identifier for the object that was "processed"
			Returns:
				string
					XML tag in the format that can be printed directly to a
							Raptor log
		"""
		return "<progress:end object_type='" + str(object_type) + \
				"' task='" + str(task) + "' key='" + str(key) + \
				"' time='" + str(time.time()) + "' />\n"
	
	
	@classmethod
	def custom_string(cls, tag = "duration", object_type = "all", task = "all",
			key = "all", time = 0.0):
		"""
			Returns a custom tag in the 'progress' tag format
			
			Parameters:
				tag - string
					String to be used for the tag 
				object_type - string
					Type of object that was being "processed" in this task
				task - string
					What was being done with the object being "processed"
				key - string
					Unique identifier for the object that was "processed"
				time - float
					The time to be included in the tag
			Returns:
				string
					XML tag in the format that can be printed directly to a
							Raptor log
		"""		
		time_string = "time"
		if tag == "duration":
			time_string = "duration" 
		return "<progress:" + str(tag) + " object_type='" + str(object_type) + \
				"' task='" + str(task) + "' key='" + str(key) + \
				"' " + time_string + "='" + str(time) + "' />\n"
	
	
	@classmethod
	def extract_values(cls, source):
		"""
			Takes, as input, a single tag of the format returned by one of the
					above progress functions. Will extract the attributes and
					return them as a dictionary. Returns an empty dictionary {}
					if the tag name is not recognised or there is a parse error
			Parameters:
				source - string
					The input string from which extracted attributes are
							required
			Returns:
				dictionary
					Dictionary containing the attributes extracted from the
							input string. Returns an empty dictionary {} if the
							tag name is not recognised or there is a parse error
			NB: This function will not work correctly if the 'source' variable
					contains multiple tags
		"""
		import re
		
		attributes = {}
					
		try:
			match = re.match(re.compile(".*object_type='(?P<object_type>.*?)'"),
					source)
			attributes["object_type"] = match.group("object_type")
		except AttributeError, e:
			print e
			attributes["object_type"] = ""
		try:
			match = re.match(re.compile(".*task='(?P<task>.*?)'"), source)
			attributes["task"] = match.group("task")
		except AttributeError, e:
			print e
			attributes["task"] = ""
		try:
			match = re.match(re.compile(".*key='(?P<key>.*?)'"), source)
			attributes["key"] = match.group("key")
		except AttributeError:
			attributes["key"] = ""
		try:
			match = re.match(re.compile(".*time='(?P<time>.*?)'"), source)
			attributes["time"] = match.group("time")
		except AttributeError:
			attributes["time"] = ""
		try:
			match = re.match(re.compile(".*count='(?P<count>.*?)'"), source)
			attributes["count"] = match.group("count")
		except AttributeError:
			attributes["count"] = ""
			
		return attributes