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splitCommunity.py
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splitCommunity.py
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import glob
import os
import re
import pprint
from communityMarkov import CommunityMarkov
class SubtitleSplitter:
def __init__(self, file):
self.file = file
def returnLines(self):
with open(self.file, 'r') as fileText:
rawData = fileText.read()
rawData = re.sub(r'\r', r'', rawData)
rawData = re.sub(r'\n\n\n', r'\n\n', rawData)
#rawData = re.sub(r'\r+\n\r+\n(\r\n)*', r'\r\n\r\n', rawData)
return self.extractLines(rawData)
def extractLines(self, rawData):
lines = rawData.split("\n\n")
spokenLines = []
monologue = ""
for line in lines:
if len(line.split("\n")) <= 2:
continue
processedLines = self.process2Lines(line.split("\n")[2:])
if len(processedLines) == 2:
spokenLines.append(self.trimLine(monologue + " " + processedLines[0]))
monologue = ""
if processedLines[1].find("|") > -1:
spokenLines.append(self.trimLine(processedLines[1]))
else:
monologue += processedLines[1]
else:
if processedLines.find("|") > -1:
spokenLines.append(self.trimLine(monologue + " " + processedLines))
monologue = ""
else:
monologue += " " + processedLines
return spokenLines
def process2Lines(self, dupleLines):
if dupleLines == []:
return ""
dupleLines[0] = self.trimLine(dupleLines[0])
# if the first line is the end of the line, then return two as separate lines
if len(dupleLines) == 2:
dupleLines[1] = self.trimLine(dupleLines[1])
if dupleLines[0].find("|") > -1:
return dupleLines
return " ".join(dupleLines)
# trim the part where it's space and dash at the beginning
def trimLine(self, line):
return re.sub(r'\A(\s*-?\s*)', r'', line)
class CharacterGraphMaker:
def __init__(self):
self.characterList = {}
self.convoList = []
def addEpisode(self, episode, episodeLines):
self.episodeName = episode
self.convoInEpisode = {}
self.convoArr = []
for line in episodeLines:
self.getConversationSpeakers(line)
for convo in sorted(self.convoInEpisode):
self.convoList.append(self.convoInEpisode[convo])
def getConversationSpeakers(self, line):
spoken, characters, convoMarker = line.split("\t|")
speaker, listeners = self.getSpeakerListeners(characters.lower().split(" "))
if speaker not in self.characterList:
self.characterList[speaker] = Character(speaker)
if convoMarker not in self.convoInEpisode:
self.convoInEpisode[convoMarker] = [{
"Speaker" : speaker,
"Listeners" : " ".join(listeners),
"Line" : spoken
}]
else:
self.convoInEpisode[convoMarker].append( {
"Speaker" : speaker,
"Listeners" : " ".join(listeners),
"Line" : spoken
})
for listener in listeners:
self.characterList[speaker].spokenTo(listener, spoken)
def getSpeakerListeners(self, characterList):
speaker = characterList[0].lower()
group = ["jeff", "britta", "abed", "troy", "pierce", "shirley", "annie"]
#monologue
if len(characterList) == 1:
return speaker, ["self"]
# more than one
if len(characterList[1:]) != 1:
listeners = characterList[1:]
return speaker, listeners
#dialogue
else:
return speaker, [characterList[1]]
def getGraph(self):
return self.characterList, self.convoList
class Character:
def __init__(self, name):
self.name = name
self.interactions = {}
def spokenTo(self, listener, line):
#print listener
if listener in self.interactions:
self.interactions[listener].append(line)
else:
self.interactions[listener] = [line]
def printChar(self):
print "Speaker: " + self.name + "\n"
#print self.interactions
for char in self.interactions:
print "\t" + char + "\n"
for line in self.interactions[char]:
print "\t\t" + line + "\n"
print "\n"
os.chdir("Subtitles")
pp = pprint.PrettyPrinter(indent = 4)
characterGraph = CharacterGraphMaker()
for episode in sorted(glob.glob("*.srt")):
episodeSplitter = SubtitleSplitter(episode)
characterGraph.addEpisode(episode, episodeSplitter.returnLines())
graph, convoGraph = characterGraph.getGraph()
def getConvoSpeakerListener(speaker, listener):
conversationList = []
for conversation in convoGraph:
for line in conversation:
if line["Speaker"] == speaker and (listener in line["Listeners"].split()):
conversationList.append(conversation)
break
return conversationList
def printConvo(convoList):
for convo in convoList:
for line in convo:
print "Speaker: " + line["Speaker"] + " | Listeners: " + line["Listeners"]
print "\t" + line["Line"]
print "\n"
'''
printConvo(getConvoSpeakerListener("pierce", "shirley"))
'''
men = ["jeff", "pierce", "troy", "abed", "dean", "chang", "duncan"]
women = ["annie", "shirley", "britta", "slater"]
importantChar = ["all", "jeff", "annie", "shirley", "pierce", "troy", "abed", "britta", "slater", "chang", "duncan", "dean", "group"]
# speaker
m2mW = []
for character in graph:
if character not in importantChar:
continue
total = 0
totalWord = 0
# listener
for interaction in graph[character].interactions.values():
for line in interaction:
totalWord += len(line.split())
total += len(interaction)
#print character + ": " + str(total) + " lines | " + str(totalWord) + " words"
for listener in graph[character].interactions.keys():
if listener not in importantChar:
continue
lineNum = 0
wordNum = 0
for line in graph[character].interactions[listener]:
lineNum += 1
wordNum += len(line.split())
if character in men and listener in men:
if len(line.split()) <= 3:
continue
m2mW.append(len(line.split()))
#print "\tto " + listener + ", " + character + " spoke " + str(wordNum / lineNum) + " words per each line"
#print "\t\t Data:\n\t\t\tTotal Words = " + str(wordNum) + "\n\t\t\tTotal Lines = " + str(lineNum)
meanW = reduce(lambda x, y: x + y, m2mW) / float(len(m2mW))
print meanW
variance = 0
for i in m2mW:
variance += (i - meanW) ** 2
print (variance/len(m2mW)) ** .5