def getSavedIbmValues(self, IBMDictionary, songWord):
ibmWordBeginTime = IBMDictionary[songWord][1]
ibmWordBeginTimestamp = Timestamp(
self.formatSubtitle(ibmWordBeginTime))
ibmWordEndTime = IBMDictionary[songWord][2]
ibmWordEndTimestamp = Timestamp(self.formatSubtitle(ibmWordEndTime))
return ibmWordBeginTimestamp, ibmWordEndTimestamp
def __init__(self, agent_id, total_agents, domain, constraints, cost_functions):
# Solution CPA and Bound
self._CPA_SOLUTION = None
self._B = sys.maxsize
# Agent information
self._id = agent_id
self._constraints = constraints
self._domain = domain
self._cost_functions = cost_functions
self._total_agents = total_agents
# self._timestamp = [0] * (total_agents + 1)
self._timestamp = Timestamp(self._total_agents + 1)
# Instance variables
self._received_cpa = None
self._current_cpa = None
self._next_assignment = 0 # index of value in domain
self._current_assignment = 0
self._estimate_value = 0 # scalar value of this agents estimate
self._queue = [] # A python list can be used a queue
self._converged = False
# Only for first Agent
if self._id == 1:
cpa = self._generate_cpa()
# start events
self._queue.append(Message('CPA_MSG', self._timestamp, 0, self._id, cpa))
def extractTimestamp(self, timestamp):
# 00: 00:40, 125 --> 00: 00:44, 170
timestamp = timestamp.replace(" ", "")
timestamp = timestamp.replace(",", ".")
times = timestamp.split("-->")
beginTime = times[0]
endTime = times[1].rstrip()
beginTS = Timestamp(beginTime)
endTS = Timestamp(endTime)
return beginTS, endTS
def set_header(self, payment_status_bulk_payload, credentials):
hash_string = credentials.api_key + payment_status_bulk_payload.request_id + credentials.api_token
txn_hash = EncryptionConfig.sha512(hash_string)
time_stamp = Timestamp()
headers = {'Content-Type': 'application/json', 'MERCHANT_ID':credentials.merchant_id, 'API_KEY':credentials.api_key,
'REQUEST_ID':payment_status_bulk_payload.request_id, 'REQUEST_TS':time_stamp.dateTimeObj(dateTimeObj=datetime.now()),
'API_DETAILS_HASH': txn_hash}
return headers
def addSilence(self, silenceDuration, lyricItr):
""" calculate duration of the pause between lyrics and trim the right amount of silence"""
silenceTS = Timestamp()
silenceEnd = silenceTS.convertTotalMsToString(silenceDuration)
silenceVideoName = os.path.join(self.movieLocation, "silence",
"silence" + str(lyricItr) + ".mp4")
silenceVidInput = self.speaker.lower() + "swag" + ".mp4"
os.system(
"/usr/local/opt/ffmpeg/bin/ffmpeg -i /Users/edwardcox/Desktop/TomCruiseSing/silence/"
+ silenceVidInput + "\
-ss 00:00:00.0" + " -to " + silenceEnd + " -y " +
silenceVideoName) # removed -c copy to re-encode
return silenceVideoName
def saveListAsSnippet(self, timeStampedSubtitle, movieName, songWord,
parentSnippet):
""" save word as VideoSnippet, then save to a dictionary """
songWordVideoSnippet = None
print("timestamped subtitle is ", timeStampedSubtitle)
for aiWordList in timeStampedSubtitle:
word = Cleanser.Cleanser.cleaning_word(
aiWordList[0]) # get rid of apostrophes and other annoyances
path = os.path.join(self.movieLocation, self.speaker, "wordAudio",
word + str(self.wordid) + ".mp3")
beginSec, beginMs = self.splitUnformatTime(
aiWordList[1]) # format: ["several":, 1.0, 1.51]
endSec, endMs = self.splitUnformatTime(aiWordList[2])
beginTS = "00:00:" + beginSec + "." + beginMs
endTS = "00:00:" + endSec + "." + endMs
beginTSObject = Timestamp(beginTS)
endTSObject = Timestamp(endTS)
videoSnippet = VideoSnippet(beginTSObject, endTSObject, word, path,
movieName, parentSnippet.path,
parentSnippet.beginTime,
parentSnippet.endTime)
""" save the file path of the video snippet containing word to reuse words in future songs """
aiWordList.append(parentSnippet.path)
if songWord == word:
songWordVideoSnippet = videoSnippet
continue # dont add to IBM saved dictionary
if word in self.IBM_Dictionary:
wordIsDuplicate = videoSnippet.isIdentical(
self.duplicateIBM_Dictionary[word]
) # if so, then we have already rejected this IBM word
else:
wordIsDuplicate = False
if not wordIsDuplicate:
if word in self.IBM_Dictionary:
self.duplicateIBM_Dictionary[word].append(
videoSnippet
) # will removing videosnippet from one list delete from other dictionary?
self.IBM_Dictionary[word].append(videoSnippet)
else:
self.duplicateIBM_Dictionary[word] = [videoSnippet]
self.IBM_Dictionary[word] = [videoSnippet]
FileCourier.writeDictionaryListOfObjects(
self.IBM_Filename, self.IBM_Dictionary)
self.wordid += 1
else:
print("DOOP ALERT!. Word %s is a duplicate" %
word) # NOT WORKING!!!
return songWordVideoSnippet
def get_timer_interval_limit(session_id,begin,end):
"""
use page instead of select all data at once avoid data too large to
crash
"""
global last_timestamp
global last_sn
query = (" SELECT log_tv_sec,log_tv_usec,log_content "
" FROM `{0}` "
" WHERE session_id = {1} AND log_type = get_log_type_id('timer_enter') "
" LIMIT {2},{3}".format(table_name,session_id,begin,end)
)
print("query {0},{1}".format(begin,end))
cursor.execute(query)
rows = cursor.fetchall()
for sec,usec,sn in rows:
timestamp = Timestamp(int(sec),int(usec))
sn = int(sn,16)
if sn - last_sn == 1:
interval = timestamp - last_timestamp
# if it's great than 100ms,tell me
if interval > 100000:
print(interval / 1000.0,end="")
s = "{0},".format(interval / 1000.0)
f.write(s)
pass
last_sn = sn
last_timestamp = timestamp
return
def readDictionaryObjects(file):
" get VideoSnippets from serialized pruned movie dictionary "
if len(file) == 0:
return {}
snippetDictionary = eval(file)
for key in snippetDictionary:
serializedMovieEntry = snippetDictionary[key] # get list of arguments to VideoSnippet
beginTime = Timestamp(serializedMovieEntry[0])
endTime = Timestamp(serializedMovieEntry[1])
word = serializedMovieEntry[2]
path = serializedMovieEntry[3]
movieName = serializedMovieEntry[4]
parentFilePath = serializedMovieEntry[5]
parentBeginTime = Timestamp(serializedMovieEntry[6])
parentEndTime = Timestamp(serializedMovieEntry[7])
snippetDictionary[key] = VideoSnippet(beginTime, endTime, word, path, movieName, parentFilePath, parentBeginTime, parentEndTime)
return snippetDictionary
def __init__(self,
id=None,
name=None,
eng_name=None,
typeid=None,
timestamp=Timestamp.sec_now()):
self.id = id
self.name = name
self.typeid = typeid
self.timestamp = timestamp
self.eng_name = eng_name
def __init__(self,
id=None,
src=None,
dest=None,
typeid=None,
timestamp=Timestamp.sec_now()):
self.id = id
self.src = src
self.dest = dest
self.typeid = typeid
self.timestamp = timestamp
def getWordFromSRT(self, subtitle_path, dirName, isSong=False):
""" map words to Snippets (contain timestamps of sentences the word is contained in) """
# read file line by line
arrowCounter = 0 # number of snippets
subtitle_file = open(subtitle_path, "r", errors='ignore')
lines = subtitle_file.readlines()
song_snippet_word_array = [
] # store the words for multiple lines belonging to 1 subtitle
subtitle_file.close()
prevEndTimestamp = prevprevEndTimestamp = prevBeginTimestamp = None # combine lyrics with the previous timestamp (not the next one)
for l in range(
len(lines)): # iterate through the lines of the SRT file
line = lines[l]
line = Cleanser.Cleanser.cleanhtml(line) # remove html tags
if "-->" in line or l == len(
lines) - 1: # if last lines add last snippet to list
if arrowCounter == 1:
prevBeginTimestamp = Timestamp("00:00:00.0")
arrowCounter += 1
if l == len(lines) - 1:
song_snippet_word_array += line.rstrip().split()
self.saveSubtitleWords(song_snippet_word_array, dirName,
prevBeginTimestamp,
prevEndTimestamp, isSong)
if isSong:
if prevEndTimestamp is not None: # len(song_snippet_word_array) > 0: # Cleanser.Cleanser.hasLetters(song_snippet_word_array)
clean_word_array = Cleanser.Cleanser.clean_sentence(
song_snippet_word_array)
# song SRT subtitle length to be used in VideoAssembler for stretching/shrinking clips
if prevprevEndTimestamp is not None:
self.songSnippetList.append(
SongSnippet(prevprevEndTimestamp,
prevEndTimestamp, clean_word_array)
) # include the pause between lyrics in a snippet
else:
self.songSnippetList.append(
SongSnippet(prevBeginTimestamp,
prevEndTimestamp,
clean_word_array))
prevprevEndTimestamp = prevEndTimestamp
song_snippet_word_array = []
if l != len(lines) - 1:
prevBeginTimestamp, prevEndTimestamp = self.extractTimestamp(
line)
continue
word_array = line.rstrip().split() # remove \n at end of sentence
song_snippet_word_array += word_array
self.saveSubtitleWords(word_array, dirName, prevBeginTimestamp,
prevEndTimestamp, isSong)
def toWebLogEntry(self, txt):
match = re.match(WebLogEntry.WEB_LOG_ENTRY_PAT, txt)
if match != None:
trbytes = 0
if match.group(8) == '-':
trbytes = 0
else:
trbytes = int(match.group(8))
self.mIP = match.group(1)
tm = Timestamp()
self.mTimestamp = tm.toTimestamp(match.group(3))
self.mMethod = match.group(4)
self.mURL = match.group(5)
self.mProtocol = match.group(6)
self.mStatusCode = int(match.group(7))
self.mTransBytes = trbytes
return True
else:
match = re.match(WebLogEntry.WEB_LOG_ENTRY_PAT2, txt)
if match != None:
trbytes = 0
if match.group(7) == '-':
trbytes = 0
else:
trbytes = int(match.group(7))
self.mIP = match.group(1)
tm = Timestamp()
self.mTimestamp = tm.toTimestamp(match.group(3))
self.mMethod = match.group(4)
self.mURL = match.group(5)
self.mProtocol = 'UNKNOWN'
self.mStatusCode = int(match.group(6))
self.mTransBytes = trbytes
return True
else:
return False
def __init__(self,
id=None,
elid=None,
typeid=None,
value=None,
eltype=None,
eng_value=None,
timestamp=Timestamp.sec_now()):
self.id = id
self.elid = elid
self.typeid = typeid
self.value = value
self.eltype = eltype
self.timestamp = timestamp
self.eng_value = eng_value
def assembleVideoClips(self, humanApprovedDictionary, songSnippetList):
""" IBMDictionary contains movieEntry. key is word, value is a Snippet
songDictionary contains Snippet. key is word, value is object with start, end times
"""
id = 0
lyricItr = 0
prevLyricTimestamp = Timestamp("00:00:00.0")
sentenceFileList = []
totalsilence = 0 # silence between lyrics
snippetidx = 0
combinedClips = 0
self.trimAllSongWord(
humanApprovedDictionary) # cut all the word videos
for songSnippet in songSnippetList:
if totalsilence == 0:
longSilenceStartTime = prevLyricTimestamp
snippetidx += 1
songLine = songSnippet.subtitle
lyricEndTime = songSnippet.endTime
wordList = []
""" the length of silence is measured as the gap between the last subtitle end time and the current start time """
prevLyricTimestamp = lyricEndTime
lyricItr += 1 # track the first word found in IBMDictionary for silence timestamp duration calculation
if len(songLine) > 0: # takes care of empty song lines
""" trim all song words belonging to a song line"""
wordList = self.getSongWordLocations(wordList, songLine)
if len(
wordList
) > 0: # words added to wordList. If couldn't find any words in line, replace with silence clip
combinedClips += 1
sentenceFilePath = self.combineVideoClipsIntoSentence(
wordList, songSnippet, totalsilence,
longSilenceStartTime, songSnippet.beginTime, lyricItr,
id)
sentenceFileList.append(sentenceFilePath)
totalsilence = 0
else: # songline contains words, but we couldn't find any from our speaker
totalsilence += songSnippet.endTime.totalms - songSnippet.beginTime.totalms
id += 1
else: # songline doesnt contain words
totalsilence += songSnippet.endTime.totalms - songSnippet.beginTime.totalms
# Delete combineClip.mp4 afterward
parodyPath = os.path.join("finalVideo",
self.speaker + "_" + self.songTitle + ".mp4")
self.combineVideoClips(sentenceFileList, parodyPath)
lastFilter = window.filterActive.get()
elem = searchNextPatient(window, window.filterActive.get())
break
if window.previous.get():
changed = True
lastFilter = window.filterActive.get()
elem = searchPreviousPatient(window, window.filterActive.get())
break
lastNotification = window.notificationActive.get()
lastContinue = window.continueActive.get()
sensorTime = dataset.iloc[window.currentIndex]["Timestamp"]
actualTime = Timestamp(sensorTime)
if window.currentIndex != 0 or window.currentIndex != dim_ciclo:
sensorTimePrecedente = dataset.iloc[window.currentIndex -
1]["Timestamp"]
sensorTimePrev = Timestamp(sensorTimePrecedente)
timeDiff = sensorTimePrev.secondsConverter(
) - actualTime.secondsConverter()
if timeDiff > 5000:
timeDiff = 1000
window.root.after(
int(800 * window.velocity),
def ReadTimestamps():
mTimestamp = Timestamp()
UsersTimestamps = mFirebaseData.child(Constants.Timestamps).get()
print("Deleting relevant timestamps..")
if (UsersTimestamps is not None):
if (UsersTimestamps.each() is not None):
for timestamp in UsersTimestamps.each():
userId = timestamp.key()
mTimestamp.setUserId(userId)
print(userId)
details = mFirebaseData.child(
Constants.Timestamps).child(userId).get()
details = timestamp.val()
details = dict(details)
mTimestamp.setTimestamp(
details.get(Constants.Timestamp_Timestamp))
mTimestamp.setBeachName(
details.get(Constants.Timestamp_BeachName))
mTimestamp.setBeachId(details.get(Constants.Timestamp_BeachID))
mTimestamp.setBeachListenerId(
details.get(Constants.Timestamp_BeachListenerId))
mTimestamp.setBeachCountry(
details.get(Constants.Timestamp_Country))
mTimestamp.print()
date = datetime.datetime.utcfromtimestamp(
int(mTimestamp.Timestamp))
dayOfMonth = date.day
month = date.month
currentDayOfMonth = datetime.datetime.utcnow().day
currentMonth = datetime.datetime.utcnow().month
print("received date: month: " + str(month) + " day " +
str(dayOfMonth))
print("current date: month: " + str(currentMonth) + " day " +
str(currentDayOfMonth))
checkInHour = datetime.datetime.utcfromtimestamp(
int(mTimestamp.Timestamp)).hour
checkInMinutes = int(
datetime.datetime.fromtimestamp(int(
mTimestamp.Timestamp)).minute)
print("check in minutes: " + str(checkInMinutes))
print("check in hour: " + str(checkInHour))
currentHour = datetime.datetime.utcnow().hour
currentMinute = datetime.datetime.utcnow().minute
print("current hour : " + str(currentHour))
print("current minute: " + str(currentMinute))
if ((checkInHour + Constants.Timestamp_Max_Hour) < currentHour
or (currentMonth > month)
or (currentDayOfMonth > dayOfMonth)):
print("deleting timestamp...")
mFirebaseData.child(Constants.Timestamps).child(
mTimestamp.UserID).remove()
mFirebaseData.child(Constants.Beaches).child(
mTimestamp.BeachID).child(Constants.Peoplelist).child(
mTimestamp.UserID).remove()
mFirebaseData.child(Constants.Users).child(
mTimestamp.UserID).child(
Constants.CurrentBeach).remove()
CurrentDevices = mFirebaseData.child(
Constants.BeachesListener).child(
mTimestamp.BeachListenerID).child(
Constants.CurrentDevices).get()
CurrentDevices = int(CurrentDevices.val())
CurrentDevices = CurrentDevices - 1
mFirebaseData.child(Constants.BeachesListener).child(
mTimestamp.BeachListenerID).child(
Constants.CurrentDevices).set(CurrentDevices)
else:
print("Not deleteing from timestamps")
def timestamp(**kwds):
from Timestamp import Timestamp
return Timestamp(**kwds)
from Timestamp import Timestamp, generateTimestamps
t1 = Timestamp().createBasedOnKey("2015101523")
print("t1: " + str(t1))
t2 = Timestamp().createBasedOnKey("2013010101")
print("t2: " + str(t2))
t3 = Timestamp().createBasedOnKey("2013010101")
print("t3: " + str(t3))
print("t2 == t3: " + str(t2 == t3))
print("t1 == t3: " + str(t1 == t3))
timestamps = generateTimestamps(2013)
print(str(len(timestamps)))
# /usr/bin/python3
from DbConnect import cursor
import time
from Timestamp import Timestamp
log_file_name = "TimerInterval.txt"
f = open(log_file_name,"w+")
table_name = "log20140929"
last_timestamp = Timestamp()
last_sn = -1
def get_count(session_id):
query = (" SELECT count(*) "
" FROM `{0}` "
" WHERE session_id = {1} AND log_type = get_log_type_id('timer_enter') "
.format(table_name,session_id)
)
print("query data count(it will take a long time)...")
cursor.execute(query)
count = cursor.fetchone()
print("count:",count)
return int(count[0])
def get_timer_interval_limit(session_id,begin,end):
"""
use page instead of select all data at once avoid data too large to
crash
"""
tomorrow = (datetime.now() + timedelta(days=1))
tomorrowString = tomorrow.strftime('%Y%m%d')
tomorrowYear = int(tomorrow.strftime('%Y'))
tomorrowMonth = int(tomorrow.strftime('%m'))
tomorrowDay = int(tomorrow.strftime('%d'))
print("\tToday's day stamp: " + todayString)
print("\tTomorrow's day stamp: " + tomorrowString)
print("\tCurrent year, month, day, hour: " + str(currentYear) + "," + str(currentMonth) + "," + str(currentDay) + "," + str(currentHour))
print("\tTomorrow year, month, day: " + str(tomorrowYear) + "," + str(tomorrowMonth) + "," + str(tomorrowDay))
timestamps = []
historyTimestamps = []
forecastTimestamps = []
for hour in range(0, currentHour + 1):
timestamp = Timestamp().createBasedOnOther(currentYear, currentMonth, currentDay, hour)
historyTimestamps.append(timestamp)
for hour in range(0, 24):
timestamp = Timestamp().createBasedOnOther(currentYear, currentMonth, currentDay, hour)
timestamps.append(timestamp)
if timestamp not in historyTimestamps:
forecastTimestamps.append(timestamp)
for hour in range(0, 24):
timestamp = Timestamp().createBasedOnOther(tomorrowYear, tomorrowMonth, tomorrowDay, hour)
timestamps.append(timestamp)
forecastTimestamps.append(timestamp)
# print("History " + str(len(historyTimestamps)))
# for t in historyTimestamps:
class Agent:
# Init Defined in the AFB DisCOP Paper
def __init__(self, agent_id, total_agents, domain, constraints, cost_functions):
# Solution CPA and Bound
self._CPA_SOLUTION = None
self._B = sys.maxsize
# Agent information
self._id = agent_id
self._constraints = constraints
self._domain = domain
self._cost_functions = cost_functions
self._total_agents = total_agents
# self._timestamp = [0] * (total_agents + 1)
self._timestamp = Timestamp(self._total_agents + 1)
# Instance variables
self._received_cpa = None
self._current_cpa = None
self._next_assignment = 0 # index of value in domain
self._current_assignment = 0
self._estimate_value = 0 # scalar value of this agents estimate
self._queue = [] # A python list can be used a queue
self._converged = False
# Only for first Agent
if self._id == 1:
cpa = self._generate_cpa()
# start events
self._queue.append(Message('CPA_MSG', self._timestamp, 0, self._id, cpa))
# Return Solution
def solution(self):
return self._CPA_SOLUTION
# Run a sequence of actions once
def step(self):
return self._handle_message()
# Incoming Message
def receive(self, msg):
# Check Timestamp
if self._timestamp < msg.get_timestamp():
# Add into queue
self._queue.append(msg)
#else:
# print('failed')
# Handle message in queue
def _handle_message(self):
# Dequeue message from queue
if len(self._queue) is not 0 and self._converged is not True:
# Pop message
msg = self._queue.pop()
#print(msg.get_timestamp() != self._timestamp)
# Ignore message if it's an outdated timestamp :)
if msg.get_timestamp() < self._timestamp and msg.get_timestamp() != self._timestamp:
#print(msg.get_timestamp())
#print(self._timestamp)
return []
if msg.get_type() == 'FB_CPA':
# print('Event: FB_CPA')
return self._calculate_estimate(msg)
elif msg.get_type() == 'CPA_MSG':
# print('Event: CPA_MSG')
return self._handle_cpa(msg)
elif msg.get_type() == 'FB_ESTIMATE':
# print('Event: FB_ESTIMATE')
return self._handle_estimate(msg)
elif msg.get_type() == 'NEW_SOLUTION':
# print('Event: NEW_SOLUTION')
# Update current CPA solution
self._CPA_SOLUTION = msg.get_payload()
# Update current Agent B
self._B = self._CPA_SOLUTION.get_cost()
return []
elif msg.get_type() == 'TERMINATE':
# print('Event: TERMINATE')
# Status
self._converged = True
self._queue = []
return []
# Handle CPA
def _handle_cpa(self, msg):
# Store incoming CPA
cpa = msg.get_payload()
# If higher priority
if msg.get_source() < self._id:
self._current_assignment = 0
self._next_assignment = 0
self._received_cpa = copy.deepcopy(cpa)
self._current_cpa = copy.deepcopy(cpa)
self._timestamp = copy.deepcopy(msg.get_timestamp())
# Reset future timestamp for lower priority agents
# relate to this agent
self._timestamp.reset_timestamp(self._id)
return self._assign_cpa()
# Handle creating an estimate value
# Should return a message if estimate causes a backtrack
def _handle_estimate(self, msg):
# do we need to wait for all messages to be received
# save estimate
self._estimate_value += msg.get_payload()
if (self._estimate_value + self._current_cpa.get_cost()) >= self._B:
# print(self._estimate_value)
# print(self._current_cpa)
print('Backtracking due to estimate')
return self._assign_cpa()
# Talk about this one tomorrow!!!
def _calculate_estimate(self, msg):
# msg = Message('FB_ESTIMATE', msg.timestamp(), self._id, msg.source(), 30)
# Find best estimate value based on received cpa and possible combinations of unresolved constraints.
# msg = FB_CPA
fb_cpa = msg.get_payload()
min_cost = sys.maxsize # cost difference
est_value = None
for x in range(0, len(self._domain[0])):
# assignment_cost = self._current_cost(self._current_assignment)
# f_v = assignment_cost + self._future_cost(self._current_assignment)
tmp = self._possible_cpa_assignment_cost(fb_cpa.get_cpa(), x) + self._future_cpa_cost(x)
if tmp < min_cost:
min_cost = tmp
est_value = x
# Generate a FB_ESTIMATE
# print('[Agent-%d] Estimate: %d %s'%(self._id, min_cost, self._domain[0][est_value]))
msg = Message('FB_ESTIMATE', msg.get_timestamp(), self._id, msg.get_source(), min_cost)
return [msg]
# Select next value for this agent
# Currently using an iterative method
# If we have exhausted all possible values then
# return None
def _next_domain_assignment(self):
if self._next_assignment == len(self._domain[0]):
return None
else:
assn = self._next_assignment
self._next_assignment += 1
return assn
# Clear Estimates
def _clear_estimates(self):
self._estimate_value = 0
# Define the hashing key
# Select the higher priority first
def _key(self, priority1, priority2, val1, val2):
if priority1 > priority2:
return '%s,%s' % (val2, val1)
else:
return '%s,%s' % (val1, val2)
# Check constraints and calculate cost in local constraint graph
# local constraint graph - constrained agents to this agent...(duh, right?)
def _possible_cpa_assignment_cost(self, cpa, value):
assignment_cost = 0
hash_id = 0
for constraint in self._constraints:
# Check if constraint is assigned... if not ignore.
if cpa[constraint] is not None:
# Get hash table key
key = self._key(self._id, constraint, self._domain[0][value], cpa[int(constraint)])
# Add cost to assignment cost
assignment_cost += self._cost_functions[hash_id][key]
# Hash Id
hash_id += 1
return assignment_cost
# Get most recent CPA cost provided by higher priority agent
def _past_cpa_cost(self):
# Check if current is first
if self._id == 1:
# We are in the first agent
return 0
else:
# Not first agent then return receive CPA_Cost
return self._received_cpa.get_cost()
# Estimate future cost based on constrained lower priority agents
def _future_cpa_cost(self, value):
# Try all possible domain values
# Case 1: No Lower Priority Constraints
lower_priority = False
for x in self._constraints:
if x > self._id:
lower_priority = True
if lower_priority is not True:
return 0
# Case 2: Constraints, but we only consider lower priority agents
# Summation of h functions
h_sum = 0
# Iterate over all constraints
for constraint in self._constraints:
if constraint > self._id:
h_sum += self._min_assignment(value, constraint)
return h_sum
# Find best assignment for constrained agent given possible assignment value
def _min_assignment(self, value, j_id):
min_cost = sys.maxsize
# For each value in the jth domain
j_hash_function_index = self._constraints.index(j_id)
# index of jth hash
j_hash_function = self._cost_functions[j_hash_function_index]
j_domain_index = j_hash_function_index + 1
j_domain = self._domain[j_domain_index]
for v in j_domain:
# create a key for the jth hash table
key = self._key(self._id, j_id, self._domain[0][value], v)
# access value
current_cost = j_hash_function[key]
if current_cost < min_cost:
min_cost = current_cost
return min_cost
# Create the first CPA :D
def _generate_cpa(self):
# Generate a CPA class to maintain the problem
cpa = [None] * (self._total_agents + 1)
return CPA(0, cpa)
# Assign next possible domain value for this agent
def _assign_cpa(self):
# clear estimates
self._clear_estimates()
# if CPA contains an assignment A_i = w_i remove it
if self._current_cpa.get_cpa()[self._id] is not None:
self._current_cpa.get_cpa()[self._id] = None # Add method to modify assignment
# find a new value (v)
while True:
self._current_assignment = self._next_domain_assignment()
if self._current_assignment is None:
return self._backtrack()
assignment_cost = self._possible_cpa_assignment_cost(self._received_cpa.get_cpa(), self._current_assignment)
f_v = assignment_cost + self._future_cpa_cost(self._current_assignment)
# Assign Variable
if (self._past_cpa_cost() + f_v) < self._B:
# Assign the possible value
# Update CPA
self._current_cpa = copy.deepcopy(self._received_cpa)
self._current_cpa.get_cpa()[self._id] = self._domain[0][self._current_assignment]
self._current_cpa.set_cost(self._past_cpa_cost() + assignment_cost)
# Increase timestamp
self._timestamp.increase_timestamp(self._id)
break
# Add value to CPA and calculate cost
if self._current_cpa.is_full():
self._CPA_SOLUTION = copy.deepcopy(self._current_cpa)
self._B = self._current_cpa.get_cost()
# print(self._CPA_SOLUTION)
msg_list = [] # broadcast to all agents updated B
for x in range(1, self._total_agents + 1):
msg = Message('NEW_SOLUTION', self._timestamp, self._id, x, self._CPA_SOLUTION)
msg_list.append(msg)
return msg_list + self._assign_cpa()
else:
# send cpa message to next agent in order
msg_list = [Message('CPA_MSG', self._timestamp, self._id, self._id + 1, self._current_cpa)]
for x in range(self._id + 1, self._total_agents + 1):
msg = Message('FB_CPA', self._timestamp, self._id, x, self._current_cpa)
msg_list.append(msg)
return msg_list
# No more possible domain values or pruning search space
def _backtrack(self):
# clear estimates
# Check if in first agent
self._clear_estimates()
# print('[Agent-%d] BACKTRACK: %s'%(self._id,str(self._current_cpa)))
if self._id == 1:
# Broadcast Terminate
msg_list = []
for x in range(2, self._total_agents + 1):
msg = Message('TERMINATE', self._timestamp, self._id, x, None)
msg_list.append(msg)
return msg_list
else:
# send CPA_MSG message to A_i-1
# print('Agent-%d %s'%(self._id,self._current_assignment))
msg = Message('CPA_MSG', self._timestamp, self._id, self._id - 1, self._received_cpa)
return [msg]
#!/usr/bin/python
import sys
## change this path to where Timestamp.py
load_path = 'C:\\users\\vladimir\\programming\\nasa_wlog\\py_nasa_log\\'
if __name__ == '__main__':
if not load_path in sys.path:
sys.path.append(load_path)
from Timestamp import Timestamp
txt = '01/Jul/1995:00:00:01 -0400'
tm2 = Timestamp()
if tm2 != None:
tm2.setDay('01')
tm2.setMonth('Jul')
tm2.setYear('1995')
tm2.setHour('00')
tm2.setMins('00')
tm2.setSecs('01')
print 'string representation: ' + tm2.toString()
else:
print 'no timestamp created' + "\n",
True,
"\t")
print("Done...")
print("Generate timestamps...")
timestamps = generateTimestampsForDays(2013, 1, 1, 1)
print("Done...")
generateDataGridHourData(
WORK_DIRECTORY,
DATA_DIRECTORY + "weather/wu/",
timestamps,
OUTPUT_DIRECTORY + "york_hour_grid_2013.csv")
for month in range(1, 13):
for day in range(1, DAYS_OF_MONTH[month - 1] + 1):
dayTimestamp = Timestamp().createBasedOnOther(2013, month, day, 1)
dayTimestampKey = dayTimestamp.key[0:8]
timestamps = generateTimestampsForDays(2013, month, day, day)
generateDataGridHourData(
WORK_DIRECTORY,
DATA_DIRECTORY + "weather/wu/",
timestamps,
OUTPUT_DIRECTORY + "data_" + dayTimestampKey + ".csv")
#!/usr/bin/python
import sys
## change this path to where Timestamp.py
load_path = 'C:\\users\\vladimir\\programming\\nasa_wlog\\py_nasa_log\\'
if __name__ == '__main__':
if not load_path in sys.path:
sys.path.append(load_path)
from Timestamp import Timestamp
txt = '01/Jul/1995:00:00:01 -0400'
tm1 = Timestamp()
if tm1.toTimestamp(txt):
print 'month: ' + tm1.getMonth() + "\n",
print 'day: ' + tm1.getDay() + "\n",
print 'year: ' + tm1.getYear() + "\n",
print 'hour: ' + tm1.getHour() + "\n",
print 'mins: ' + tm1.getMins() + "\n",
print 'secs: ' + tm1.getSecs() + "\n",
print 'string representation: ' + tm1.toString()
else:
print 'no timestamp created' + "\n",
