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wea_ondara
2019-07-22 21:57:46 +02:00
parent 3d4b1f26ba
commit 661e3c810a
3 changed files with 126 additions and 18 deletions
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16
analyze_batch.py
View File

@@ -28,11 +28,7 @@ def main(folder):
postcounts = range(1, 5 + 1)
for (option_date_from, option_date_to) in intervals:
# filter users by option_date_from <= creation date <= option_date_to
# newusers = dmt(users).filter(lambda u: option_date_from <= u['CreationDate'] < option_date_to, "filtering users by creation").getresults()
# newuserids = set(dmt(newusers).map(lambda u: u['Id'], "get user id list").getresults())
# get questions for filtered users
# get questions for option_date_from <= creation date < option_date_to
newposts = dmt(posts).filter(lambda p: option_date_from <= p['CreationDate'] < option_date_to, "filter posts by dates").getresults()
if len(newposts) == 0:
continue
@@ -50,7 +46,8 @@ def main(folder):
outfolder = folder + "/output/batch/"
os.system("mkdir -p " + outfolder)
goutfilename = outfolder + "batch_" + folder.split("/")[-1] + "_" + option_date_from.strftime("%d-%m-%Y") + "_" + option_date_to.strftime("%d-%m-%Y")
goutfilenamenewusers = outfolder + "batch_newusers_" + folder.split("/")[-1] + "_" + option_date_from.strftime("%d-%m-%Y") + "_" + option_date_to.strftime("%d-%m-%Y")
goutfilenameoldusers = outfolder + "batch_oldusers_" + folder.split("/")[-1] + "_" + option_date_from.strftime("%d-%m-%Y") + "_" + option_date_to.strftime("%d-%m-%Y")
for option_posts in postcounts:
# print(option_date_from.strftime("%d-%m-%Y") + " to " + option_date_to.strftime("%d-%m-%Y") + " - #posts: " + str(option_posts))
@@ -80,17 +77,16 @@ def main(folder):
printnoln("\rcomputing toxic levels: post #" + str(i + 1) + "/" + str(len(filteredposts)))
if (i + 1) == len(newposts):
printnoln("\rcomputing toxic levels: post #" + str(i + 1) + "/" + str(len(filteredposts)))
userid = post['OwnerUserId']
for a in post['Answers']:
if a['Id'] in cachedsentiments.keys():
toxlevel = cachedsentiments[a['Id']]
else:
toxlevel = computeToxLevel(a['Body'])
cachedsentiments[a['Id']] = toxlevel
toxlevels[userid].append(toxlevel)
toxlevels[post['Id']].append(toxlevel)
rprint("computing toxic levels: post #" + str(len(filteredposts)) + "/" + str(len(filteredposts)) + " ... took " + str(cms() - start) + "ms")
outfilename = goutfilename + "_" + str(option_posts)
outfilename = goutfilenamenewusers + "_" + str(option_posts)
dumptoxlevels(toxlevels, outfilename + ".py")
neglevelsflat = [item['neg'] for item in flatmap(toxlevels.values())]
@@ -137,7 +133,7 @@ def main(folder):
gaxs[0, 1].set_yscale('log')
gaxs[1, 1].set_yscale('log')
gfig.suptitle("Sentiment of answers to the first X (max) posts within 1 week of 1st contribution\nPosts created between " + option_date_from.strftime("%d-%m-%Y") + " to " + option_date_to.strftime("%d-%m-%Y"))
gfig.savefig(goutfilename + ".png", bbox_inches='tight')
gfig.savefig(goutfilenamenewusers + ".png", bbox_inches='tight')
plt.close(gfig)

52
mt.py
View File

@@ -1,5 +1,6 @@
from threading import Thread, Lock
import time
from math import ceil
class mt():
@@ -19,6 +20,7 @@ class mt():
self.__threads = []
self.__lock = Lock()
self.__results = []
self.__progress = 0
for i in range(self.__threadcount):
self.__results.append([])
self.__threads.append(None)
@@ -29,6 +31,7 @@ class mt():
if self.__running:
self.join()
self.__data = self.getresults()
self.__progress = 0
self.__running = True
self.__final = self.__getresultsmapfilter
self.__type = "filter"
@@ -45,7 +48,17 @@ class mt():
def __dofilter(self, i, list, cond):
now = self.__cms()
results = [l for l in list if cond(l)]
results = []
for j in range(ceil(len(list) / 1000)):
part = list[j * 1000: min((j + 1) * 1000, len(list))]
results += [l for l in part if cond(l)]
with self.__lock:
self.__progress += len(part)
if self.__comment is not None:
print("\r" + self.__comment + ": " + str(self.__progress) + "/" + str(len(self.__data)) + " ...", end='', flush=True)
# results = [l for l in list if cond(l)]
with self.__lock:
self.__results[i] = results
dur = self.__cms() - now
@@ -58,12 +71,13 @@ class mt():
if self.__running:
self.join()
self.__data = self.getresults()
self.__progress = 0
self.__running = True
self.__final = self.__getresultsmapfilter
self.__type = "map"
self.__comment = comment if comment is not None else ""
if comment is not None:
print(self.__comment + ": #" + str(len(self.__data)) + " ...", end='\n' if self.__verbose else '', flush=True)
print(self.__comment + ": 0/" + str(len(self.__data)) + " ...", end='\n' if self.__verbose else '', flush=True)
self.__starttime = self.__cms()
self.__endtime = None
for i in range(self.__threadcount):
@@ -74,7 +88,16 @@ class mt():
def __domap(self, i, list, func):
now = self.__cms()
results = [func(l) for l in list]
results = []
for j in range(ceil(len(list) / 1000)):
part = list[j * 1000: min((j + 1) * 1000, len(list))]
results += [func(l) for l in part]
with self.__lock:
self.__progress += len(part)
if self.__comment is not None:
print("\r" + self.__comment + ": " + str(self.__progress) + "/" + str(len(self.__data)) + " ...", end='', flush=True)
# results = [func(l) for l in list]
with self.__lock:
self.__results[i] = results
dur = self.__cms() - now
@@ -87,6 +110,7 @@ class mt():
if self.__running:
self.join()
self.__data = self.getresults()
self.__progress = 0
self.__running = True
self.__final = lambda: self.__getresultsreduce(aggregator, initval)
self.__type = "reduce"
@@ -104,8 +128,18 @@ class mt():
def __doreduce(self, i, list, reducer, initval):
now = self.__cms()
val = initval()
for j in range(len(list)):
val = reducer(val, list[j])
for j in range(ceil(len(list) / 1000)):
part = list[j * 1000: min((j + 1) * 1000, len(list))]
for k in range(len(part)):
val = reducer(val, part[k])
with self.__lock:
self.__progress += len(part)
if self.__comment is not None:
print("\r" + self.__comment + ": " + str(self.__progress) + "/" + str(len(self.__data)) + " ...", end='', flush=True)
# for j in range(len(list)):
# val = reducer(val, list[j])
with self.__lock:
self.__results[i] = val
dur = self.__cms() - now
@@ -136,13 +170,15 @@ class mt():
self.__threads[i].join()
self.__threads[i] = None
if self.__endtime is None:
self.__endtime = self.__cms();
self.__endtime = self.__cms()
if self.__comment is not None:
dur = self.__endtime - self.__starttime
if self.__verbose:
print(self.__comment + ": #" + str(len(self.__data)) + (" -> #" + str(sum([len(l) for l in self.__results])) if self.__type == "filter" else "") + " ... took " + str(dur) + "ms")
print(self.__comment + ": " + str(self.__progress) + "/" + str(len(self.__data)) + (
" -> #" + str(sum([len(l) for l in self.__results])) if self.__type == "filter" else "") + " ... took " + str(dur) + "ms")
else:
print("\r" + self.__comment + ": #" + str(len(self.__data)) + (" -> #" + str(sum([len(l) for l in self.__results])) if self.__type == "filter" else "") + " ... took " + str(dur) + "ms")
print("\r" + self.__comment + ": " + str(self.__progress) + "/" + str(len(self.__data)) + (
" -> #" + str(sum([len(l) for l in self.__results])) if self.__type == "filter" else "") + " ... took " + str(dur) + "ms")
return self
def close(self):

76
sentiments.py Normal file
View File

@@ -0,0 +1,76 @@
import os
import sys
from collections import defaultdict
from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
from loader import load, cms, dmt
printnoln = lambda text: print(text, end='', flush=True)
rprint = lambda text: print('\r' + text)
DAYS_NEW_USER = 7
OLD_USER_YEAR = 3
analyser = SentimentIntensityAnalyzer()
colors = ['red', 'green', 'blue', 'orange', 'deeppink']
def main(folder):
users, posts, firstcontrib, sumcontrib = load(folder)
outfolder = folder + "/output/"
os.system("mkdir -p " + outfolder)
outfilename = outfolder + "sentiments"
# computer toxic levels
# start = cms()
# printnoln("computing toxic levels: filtering")
# toxlevels = defaultdict(list)
# for (i, post) in enumerate(posts):
# if (i + 1) % 100 == 0:
# printnoln("\rcomputing toxic levels: post #" + str(i + 1) + "/" + str(len(posts)))
# if (i + 1) == len(posts):
# printnoln("\rcomputing toxic levels: post #" + str(i + 1) + "/" + str(len(posts)))
# for a in post['Answers']:
# toxlevel = computeToxLevel(a['Body'])
# toxlevels[post['Id']].append(toxlevel)
# rprint("computing toxic levels: post #" + str(len(posts)) + "/" + str(len(posts)) + " ... took " + str(cms() - start) + "ms")
toxlevels = dmt(posts).map(lambda p: (p['Id'], computeSentimentForPost(p)), "calculating sentiments").getresults()
toxlevels = {id: p for (id, p) in toxlevels}
dumptoxlevels(toxlevels, outfilename + ".py")
def computeSentimentForPost(post):
anwsers = {a['Id']: computeToxLevel(a['Body']) for a in post['Answers']}
return anwsers
def computeToxLevel(text):
return analyser.polarity_scores(text)
def dumptoxlevels(lvls, filename):
answers = dict()
for p in lvls.values():
for id, a in p.items():
answers[id] = a
with open(filename, "w") as file:
file.write("posts = " + str(lvls) + "\n")
file.write("answers = " + str(answers) + "\n")
if __name__ == "__main__":
# execute only if run as a script
usage = sys.argv[0] + " <folder>"
if len(sys.argv) < 2:
print(usage)
sys.exit(1)
folder = sys.argv[1]
if not os.path.isdir(folder):
print(folder + " is not a folder")
sys.exit(1)
main(folder)