from lxml import html
from collections import OrderedDict
import re
import requests
import praw
import config
import time
import os
import requests
import random
player_info = OrderedDict()

def bot_login():
    print("Loggin in...")
    r = praw.Reddit(username = config.username,
            password = config.password,
            client_id = config.client_id,
            client_secret = config.client_secret,
            user_agent = "NFL Player Stats Bot v0.1")
    print("Logged in!")

    return r

def response(player, player_info):

    if player is not None:
        search = requests.get("http://www.nfl.com/players/search?category=name&filter={}&playerType=current".format(player.replace(" ", "+")))
        search_tree = html.fromstring(search.content)

        if search_tree.xpath('//div[@id="searchResults"]//@href') is True:
            search_result = search_tree.xpath('//div[@id="searchResults"]//@href')[0]
        else:
            search_result = None
        if search_result is not None:

            page = requests.get("http://www.nfl.com" + str(search_tree.xpath('//div[@id="searchResults"]//@href')[0]))
            tree = html.fromstring(page.content)
            bio = tree.xpath('//div[@class="player-info"]//p//text()')

            player_info["Name"] = str(tree.xpath('//div[@class="player-info"]//span[@class="player-name"]/text()')[0].encode("ascii", errors="ignore").decode()).strip()

            player_info["Number"] = str(tree.xpath('//div[@class="player-info"]//span[@class="player-number"]/text()')[0].encode("ascii", errors="ignore").decode()).strip()

            player_info["Height"] = str(bio[bio.index("Height") + 1].encode("ascii", errors="ignore").decode()).split(": ",1)[1].strip().replace("-", "ft ").strip()

            player_info["Weight"] = str(bio[bio.index("Weight") + 1].encode("ascii", errors="ignore").decode()).split(": ",1)[1].strip()

            player_info["Age"] = str(bio[bio.index("Age") + 1].encode("ascii", errors="ignore").decode()).split(": ",1)[1].strip()

            player_info["D.O.B"] = str(bio[bio.index("Born") + 1].encode("ascii", errors="ignore").decode()).split(": ",1)[1].strip()

            player_info["Seasons Played"] = str(bio[bio.index("Experience") + 1].encode("ascii", errors="ignore").decode()).split(": ",1)[1].strip()

            player_info["College"] = str(bio[bio.index("College") + 1].encode("ascii", errors="ignore").decode()).split(": ",1)[1].strip()

            player_info["High School"] = str(bio[bio.index("High School") + 1].encode("ascii", errors="ignore").decode()).split(": ",1)[1].strip()

            player_info["Current Team"] = "[{}] ({}) ".format(str(tree.xpath('//div[@class="player-info"]//p[@class="player-team-links"]//@href')[1]), str(tree.xpath('//div[@class="player-info"]//p[@class="player-team-links"]//a/text()')[0]).strip())


    # player_info["seasons_played_for_current_team"] = ""
    # player_info["career_total_stats"] = ""
    # player_info["games_played"] = ""
    # player_info["game_victories"] = ""
    # player_info[""] = ""

        return player_info

def comment_message(response_message, player_info):
    for k,v in player_info.iteritems():
        response_message = response_message + ("> {}: {}\n\n".format(str(k), str(v)))

    return response_message

def run_bot(r, comments_replied_to):
    print("Obtaining 25 comments...")

    for comment in r.subreddit('test').comments(limit=25):
        if "[[" in comment.body and comment.id not in comments_replied_to and comment.author != r.user.me():
            print("found")
            player = comment.body.partition("[[")[2].partition("]]")[0]

            comment_reply = comment_message("Player Stats: \n\n", response(player, player_info))

            comment.reply(comment_reply)
            print("Replied to comment " + comment.id)

            comments_replied_to.append(comment.id)

            with open ("comments_replied_to.txt", "a") as f:
                f.write(comment.id + "\n")

    print("Sleeping for 10 seconds...")
    #Sleep for 10 seconds...
    time.sleep(10)

def get_saved_comments():
    if not os.path.isfile("comments_replied_to.txt"):
        comments_replied_to = []
    else:
        with open("comments_replied_to.txt", "r") as f:
            comments_replied_to = f.read()
            comments_replied_to = comments_replied_to.split("\n")
            comments_replied_to = filter(None, comments_replied_to)

    return comments_replied_to

r = bot_login()
comments_replied_to = get_saved_comments()
print(comments_replied_to)

while True:
    run_bot(r, comments_replied_to)