import praw
import config
import os
import urllib
import bs4 as bs


                                                                      # Logs in to reddit api. config.xxxx just grabs vars from cinfig.py file associated with this program
def bot_login():
	r = praw.Reddit(username = config.username,
			password = config.password,
			client_id = config.client_id,
			client_secret = config.client_secret,
			user_agent = "SbfuTestBot v0.1")
	print("Logged in!")

	return r

                                                                      # Function webscrapes the wiki for dict(keyword, http link)
def grab_wiki():
	#vars for BS4 soup
	sauce = urllib.urlopen('https://www.spacebuckets.com/wiki/Special:AllPages')
	soup = bs.BeautifulSoup(sauce, 'lxml')
	b = {}
	for link in soup.find_all('a'):
		aKey = link.text.lower()
		aLink = link.get('href')
		for char in ' ?.!/;:)(-':
			aKey = aKey.replace(char, '')
			b.update({aKey:aLink})
	print("WebScrape Complete!")
	return(b)

                                                                      #Function to run the reddit bot
def run_bot(r, comments_replied_to):
	match_envelope = ("")                                             #The var that holds the matches from title_found and wiki_scrape, intitilaized as empty so we can reply to empty calls with a helpful response containing our keywords
	print("Obtaining 25 comments")
	for comment in r.subreddit('sbfutest').comments(limit=25):    #gets the most recent 25 comments from our selected subreddit
		comment_text = comment.body.lower()                           # makes the content of the comment lowercase for parsing
		comment_text = comment_text.split()                           #splits our comment into an array of strings, seperated by spaces, so each word in comment is a string in array

		if "!SbFuBot" in comment.body and comment.id not in comments_replied_to and comment.author != r.user.me(): #If call word in comment body, and not a comment we have replied to, and not a comment made by the bot
			print ("Bot called by " + comment.id)
			print("Searching SpaceBuckets Wiki")
			wiki_scrape = grab_wiki()                                 # calls function that stored webscraped contents of spacebucket wiki page https://www.spacebuckets.com/wiki/Special:AllPages
			helplist = str(wiki_scrape.keys())                        # creates a lit of all the keys from our webscraped dictionary
			" ".join(helplist)                                        # joins our list into one large string for iteration
			title_found = set(comment_text)                           # makes our reddit comment into a set
			matches = list(set(title_found) & set(wiki_scrape))       # makes matches intoaa list of items in both title_found from reddit comment, and wiki_scrape, from spacebucket wiki
			for k in wiki_scrape.keys():                              # for each keyword in our SB wiki scrape
				if k in matches:                                      # if keyword is in our match
					match_envelope += "[" + k + "]" + "(" + "https://www.spacebuckets.com/" + wiki_scrape[k] + ")" + "  "+ "\n" #reddit syntax response, catches all keywords and stores reddit response

			if match_envelope:                                        #if there is data in match_envelope, then we have a comment to respond to, and need basic response template
				comment.reply("Here are the requested articles!  " + "\n" + match_envelope + "\n" + "To see list of bot keywords, call !SbFuBot in a comment")

			if not match_envelope:                                    #If match envelope is empty, then someone didnt know the correct keyword, or is requesting what keywords are available
				comment.reply("To suggest a wiki article to someone on /r/SpaceBuckets just comment !SbFuBot (Case sensitive) followed by one or more of the following keywords:  " + "\n" + "  " + "\n" + "  " + "**" + helplist + "**" + "  " + "\n" + "  " + "\n" + "Created by /u/SpaceBucketFu.")


			print("replied to comment " + comment.id)                 # Stores comments we have already replied to, so we dont reply multiple times.
			comments_replied_to.append(comment.id)
			with open ("comments_replied_to.txt", "a") as f:
				f.write(comment.id + " ")