1 files changed, 142 insertions, 0 deletions
diff --git a/snooper.py b/snooper.py
new file mode 100644
index 0000000..489ea37
--- /dev/null
+++ b/snooper.py
@@ -0,0 +1,142 @@
+import praw
+import readability
+import os
+import time
+from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
+
+def donotcolourmeplease():
+	global red, yellow, green, purple, white, reset, blue
+	red = ""
+	green = ""
+	yellow = ""
+	purple = ""
+	white = ""
+	reset = ""
+	blue = ""
+
+def colourmeplease():
+	global red, purple, green, yellow, white, reset, blue
+	red = "\033[1;31m"
+	green = "\033[1;32m"
+	blue = "\033[1;34m"
+	yellow = "\033[1;33m"
+	purple = "\033[1;35m"
+	white = "\033[1;37m"
+	reset = "\033[39m"
+
+
+
+analyser = SentimentIntensityAnalyzer()
+
+reddit = praw.Reddit(client_id='0YYkleuCm6H9yQ', client_secret='aljmxJ3YbkDheiEt8KknwpsKVqo',  user_agent='Snooper by navanchauhan')
+
+username = "PrudentWish"
+
+redditor = reddit.redditor(username)
+
+
+def getCommentsKarma():
+	commentsKarma = redditor.comment_karma
+	return commentsKarma
+def getPostsKarma():
+	postsKarma = redditor.link_karma
+	return postsKarma
+def getComments():
+	comments = [  ]
+	for i in redditor.comments.new(limit=1000):
+		ib = i.body
+		comments.append(ib)
+	return comments
+def getPosts():
+	posts = [ ]
+	for i in redditor.submissions.new(limit=1000):
+		posts.append(i)
+	return posts
+
+def isMod():
+	answer = redditor.is_mod
+	print(white, "Is Mod?", yellow, answer, reset)
+def isEmployee():
+	answer = redditor.is_employee
+	print(white, "Is Employee?", yellow, answer, reset)
+def isgold():
+	answer = redditor.is_gold
+	print(white, "Gilded Currently?", yellow, answer, reset)
+def hasVerifiedEmail():
+	answer = redditor.has_verified_email
+	print(white, "Veriefied Email?", yellow, answer, reset)
+def createdOn():
+	answer = redditor.created_utc
+	answer = time.ctime(answer)
+	print(white, "Account Created On:", yellow, answer, reset)
+
+def performMagic():
+	comments = []
+	scores = []
+	text = ""
+	for i in redditor.comments.top(limit=1000):
+		txt = i.body
+		comments.append(txt)
+		text += str(", " + i.body)
+		score = i.score
+		scores.append(score)
+	print(white, "Most Downvoted Comment: \n", red, comments[-1], white, "\nScore: \n", red, scores[-1], reset)
+	print(white, "Most Upvoted Comment: \n", yellow, comments[0], white, "\nScore: \n", yellow, scores[0], reset) 
+	results = readability.getmeasures(text, lang='en')
+	print(white, "Reading Ease: ", yellow, results['readability grades']['FleschReadingEase'], reset)
+	score = analyser.polarity_scores(text)
+	lb = score['compound']
+	print(white, "Sentiment Analysis", reset)
+	if(lb >= 0.75):
+		print(blue, "Cheerful Person", reset)
+	elif(lb >= 0.45):
+		print(purple, "Neutral boi", reset)
+	else:
+		print(red, "Depressed Soul", reset)
+
+def printDetails():
+	print(username.center(100))
+	print("Karma Breakdown")
+	print("Comments:", redditor.comment_karma)
+	print("Posts:", redditor.link_karma)
+	allcomments = []
+	for comments in redditor.comments.new(limit=1000):
+		allcomments.append(allcomments)
+	print("No. of Comments:", len(allcomments))
+	allposts = []
+	for posts in redditor.submissions.new(limit=1000):
+		allposts.append(allposts)
+	print("No. of Posts:", len(allposts))
+
+
+#printDetails()
+def calculateEtPrint():
+	print(purple)
+	print(username.center(100))
+	print(reset)
+	commentsKarma = getCommentsKarma()
+	postsKamra = getPostsKarma()
+	Comments = getComments()
+	Posts = getPosts()
+	AvgCommentKarma = commentsKarma/len(Comments)
+	AvgPostKarma = postsKamra/len(Posts)
+	print(white, "Total Karma from Comments: ", yellow, commentsKarma, reset)
+	print(white, "TotaL Karma from Posts:", yellow,  postsKamra, reset)
+	print(white, "Avg. Posts Karma:", yellow, AvgPostKarma, reset)
+	print(white, "Avg. Comments Karma", yellow, AvgCommentKarma, reset)
+	isMod()
+	isEmployee()
+	isgold()
+	createdOn()
+	performMagic()
+
+if(os.name == "posix" or "darwin" or "linux"):
+	colourmeplease()
+else:
+	donotcolourmeplease()
+
+#result()
+calculateEtPrint()
+
+
+