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Copy pathVideoStatsFetcher.py
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VideoStatsFetcher.py
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from __future__ import unicode_literals
import requests
import settings
import mongoTools
import datetime
import argparse
import smilarities
import pandas as pd
from py2neo import Graph, Node, Relationship, authenticate
def main():
parser = argparse.ArgumentParser(prog='GameVidStats', allow_abbrev=False)
parser.add_argument('game', nargs=1, type=str)
parser.add_argument('games', type=int, nargs=1)
parser.add_argument('--res', nargs='?', type=str, const='1080', default='1080')
args = parser.parse_args()
stats = VideoStatsFetcher(args.game[0], args.games[0], args.res)
stats.get_game_vids()
stats.fill_similarities_graph()
class VideoStatsFetcher:
def __init__(self, game, top, resolution):
self.game = game
self.resolution = resolution
db = mongoTools.MongoDbTools('GameStats')
gamedata = db.read_videodata_from_db({"name": self.game})
self.gameid = gamedata['id'][0]
self.maxvideos = int(gamedata['videos'][0])
self.videos = top
#print(self.maxvideos, self.videos)
self.appid = settings.PlaysTvAppId
self.appkey = settings.PlaysTvKey
self.db_game = mongoTools.MongoDbTools(self.game)
self.db_sim = mongoTools.MongoDbTools("Similarities_{0}".format(self.game))
def get_game_vids_page(self, page, limit):
call = 'https://api.plays.tv/data/v1/videos/search?appid={0}&appkey={1}' \
'&gameId={2}&limit={3}&page={4}'.format(self.appid, self.appkey, self.gameid, limit, page)
try:
r = requests.get(call).json()
r = r['content']['items']
except Exception as e:
r = 'the error is %s' % e
return r
def turn_metatags_to_hashtags(self, metatags):
hashtags = []
for i in metatags:
hashtag = self.parse_metatag(i)
hashtags.append(hashtag)
return hashtags
def parse_metatag(self, metatag):
parts = metatag["metatag"].split(":")
return parts[-1]
def hashtag_list_to_str(self, hashtag_list):
request = " ".join(str(x) for x in hashtag_list)
return request
def get_game_vids(self):
if int(self.videos) > int(self.maxvideos):
self.videos = self.maxvideos
k = 1
vids = 0
while vids < self.videos:
vids += settings.PlaysTvLinesPerPage/settings.PlaysTvLinesPerVid
get_vids = self.get_game_vids_page(k, settings.PlaysTvLinesPerPage)
if get_vids == []:
break
k += 1
self.store_game_videos(get_vids)
return
def store_game_videos(self, data):
for i in data:
if not (isinstance(i, str)):
if i['resolutions'] != None:
#print(self.resolution in i['resolutions'])
if len(self.db_game.read_videodata_from_db({"id": i['id']})) == 0 and (self.resolution in i['resolutions']):
video = {}
video['id'] = i['id']
video['author'] = i['author']['id']
video['time'] = datetime.datetime.fromtimestamp(int(i['upload_time'])).strftime(
'%Y-%m-%d %H:%M:%S')
video['hashtags'] = []
video['title'] = i['description']
video['rating'] = (int(i['stats']['views']) + int(i['stats']['likes'])*5)/(int(i['author']['stats']['followers'])+1)
#print(video)
#break
if 'metatags' in i:
video['hashtags'] = self.turn_metatags_to_hashtags(i['metatags'])
if 'hashtags' in i:
for hash in i['hashtags']:
video['hashtags'].append(hash['tag'])
video['hashtags'].append(i['author']['id'])
video['hashtags'].append(video['title'])
self.db_game.write_videodata_to_db(video)
return
def fill_similarities_graph(self):
authenticate(settings.NeoHost, settings.NeoLog, settings.NeoPass)
graph = Graph("{0}/db/data/".format(settings.NeoHost))
#graph.delete_all()
try:
graph.schema.create_uniqueness_constraint('Video', 'id')
except:
pass
data = pd.DataFrame(self.db_game.read_videodata_from_db())
if not isinstance(data, str) and not data.empty:
data = data[pd.notnull(data['title'])]
data = data[pd.notnull(data['rating'])]
k = len(data)
mes = smilarities.SimilarityMeasures()
vid = 0
while vid < k:
if data['hashtags'][vid] is not None:
#print(data['hashtags'][vid], data['id'][vid])
if len(data['hashtags'][vid]) > 3:
hashes = self.hashtag_list_to_str(data['hashtags'][vid])
#print(hashes, vid)
data1 = pd.DataFrame(self.db_game.read_text_index_videodata_from_db('hashtags', hashes))
data1 = data1[pd.notnull(data1['title'])]
data1 = data1[pd.notnull(data1['rating'])]
data1 = data1.reset_index()
start = Node("Video", id=str(data['id'][vid]))
graph.merge(start)
start.properties['rating'] = data['rating'][vid]
start.properties['title'] = data['title'][vid]
start.push()
vid1 = 0
while vid1 < len(data1):
stop = Node("Video", id=str(data1['id'][vid1]))
graph.merge(stop)
stop.properties['rating'] = data1['rating'][vid1]
stop.properties['title'] = data1['title'][vid1]
stop.push()
num = mes.jaccard_similarity(data['hashtags'][vid], data1['hashtags'][vid1])
#print(len(data['hashtags'][vid]))
if (num > 0.5 and len(data1['hashtags'][vid1]) > 3) and data1['id'][vid1] != data['id'][vid]:
#print(num, vid, vid1)
following = Relationship(start, "Jaccard", stop)
graph.merge(following)
following.properties['jaccard_similarity'] = num
following.push()
vid1 += 1
vid += 1
#print(pd.DataFrame(graph.run("MATCH (a:Video) RETURN a.id, a.title, a.rating LIMIT 10").data()))
return
if __name__ == "__main__":
main()