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logic.py
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from application.Connections import Connection
from datetime import date
import time
import datetime
import numpy as np
import pandas as pd
import plotly.offline
import plotly.graph_objs as go
import matplotlib.pyplot as plt
import plotly.plotly as py
import plotly.tools as tls
from collections import Counter
import mpld3
from newspaper import Article
from nltk.corpus import wordnet
import requests
from requests_oauthlib import OAuth1
import json
import random
import copy
import math
watchTowerIP = "https://watchtower.openmaker.eu"
watchTowerPort = ""
watchTowerVersion = "v1.3"
watchTowerSetting = watchTowerIP + watchTowerPort + "/api/" + watchTowerVersion
insight_api_key = "INSIGHT_API_KEY"
idPerPage = 1000
tweetPerPage = 100
profilePerPage = 50
contentPerPage = 20
feedback_types = {'news': {'Dislike':0, "Neutral":1, "Like":2}, 'event': {'Dislike':0, "Neutral":1, "Like":2}}
context_types = {"news": 1, "event": 2, "other": 0}
# if content_id == 0 then no spesific content info given
def post_registered_user(crm_id):
# Get user from Capsule CRM
header = {'Authorization': "AUTHORIZATION_CREDENTIALS"}
r = requests.get('https://api.capsulecrm.com/api/v2/parties/'+str(crm_id)+'?embed=tags,fields,organisation', headers=header)
if 'party' not in r.json():
return {'error': 'user is not in Capsule CRM'}
user = r.json()['party']
if list(Connection.Instance().CapsuleCRMdb.om_user_profiles.find({"capsule_profile.id": int(crm_id)})) == []:
Connection.Instance().CapsuleCRMdb.om_user_profiles.insert_one({"capsule_profile":user})
Connection.Instance().CapsuleCRMdb.om_user_profiles.update_one({"capsule_profile.id":user['id']}, {"$set":{"extra_info":[]}})
else:
Connection.Instance().CapsuleCRMdb.om_user_profiles.update_one({"capsule_profile.id":user['id']}, {"$set":{"capsule_profile":user}})
# Make Recommendation
r = requests.get(watchTowerSetting + "/get_topics")
topic_list = r.json()['topics']
# wt_topic_ids = [t["topic_id"] for t in topic_list]
# np.random.shuffle(wt_topic_ids)
# wt_topic_ids = wt_topic_ids[:3]
# Connection.Instance().CapsuleCRMdb.om_user_properties.update_one({"CapsuleID":str(user['id']) },{"$set" : {"wt_topic_ids": wt_topic_ids}}, upsert=True)
u_inf = {'tags':user["tags"], 'fields':user["fields"]}
wt_topics = {t["topic_name"]:{'interest':0, 'topic_id':t["topic_id"]} for t in topic_list}
u_wt_topics = copy.deepcopy(wt_topics)
for tag in u_inf['tags']:
r = requests.get(watchTowerSetting + "/get_topics?keywords="+tag['name'])
for t in r.json()['topics']:
u_wt_topics[t['topic_name']]['interest'] += 1
Connection.Instance().CapsuleCRMdb.om_user_properties.update_one({"CapsuleID":str(user['id']) },{"$set" : {"wt_topics": u_wt_topics}}, upsert=True)
# news and events recommendations
empty_topic_counts = [[1, t['topic_id']] for t in topic_list]
temp_content_table = pd.DataFrame(list(Connection.Instance().CapsuleCRMdb.temp_content_table.find({},{'_id':0,'temp_id':1,'topic_id':1,'content_type':1})))
topic_counts = []
for t_name, t_info in u_wt_topics.items():
if t_info['interest'] > 0:
topic_counts.append([t_info['interest'], t_info['topic_id']])
if topic_counts == []:
topic_counts = copy.deepcopy(empty_topic_counts)
topic_contents = temp_content_table[temp_content_table.topic_id.isin([t[1] for t in topic_counts])]
news_topic_contents = topic_contents[topic_contents.content_type == "news"]
event_topic_contents = topic_contents[topic_contents.content_type == "event"]
# NEWS Recommendation
news_temp_ids = []
ctr = 0
mtp = 0
topic_counts = sorted(topic_counts,reverse=True)
while ctr < 100:
ctr_x = ctr
for t in topic_counts:
tids = list(news_topic_contents[news_topic_contents.topic_id==t[1]]['temp_id'][mtp*t[0] : (mtp+1)*t[0]])
news_temp_ids.extend(tids)
ctr += len(tids)
if ctr == ctr_x:
break
mtp += 1
# EVENTS Recommendation
event_temp_ids = []
ctr = 0
mtp = 0
topic_counts = sorted(topic_counts,reverse=True)
while ctr < 50:
ctr_x = ctr
for t in topic_counts:
tids = list(event_topic_contents[event_topic_contents.topic_id==t[1]]['temp_id'][mtp*t[0] : (mtp+1)*t[0]])
event_temp_ids.extend(tids)
ctr += len(tids)
if ctr == ctr_x:
break
mtp += 1
try:
news_temp_ids = [np.asscalar(_id) for _id in news_temp_ids]
event_temp_ids = [np.asscalar(_id) for _id in event_temp_ids]
except:
pass
Connection.Instance().CapsuleCRMdb.om_user_analytics.update_one({"CapsuleID":str(user['id']) },{"$set" : {"recommended_news": news_temp_ids,"recommended_events": event_temp_ids}},upsert=True)
# user to user recommendation
user_ids = [str(x["capsule_profile"]["id"]) for x in list(Connection.Instance().CapsuleCRMdb.om_user_profiles.find())]
np.random.shuffle(user_ids)
Connection.Instance().CapsuleCRMdb.om_user_analytics.update_one({"CapsuleID":str(user['id']) },{"$set" : {"recommended_users":user_ids[:10]}})
return {'success': 'user information and recommendations are added/updated'}
def get_synonyms(word, synsets):
synonyms = []
for synset in synsets:
synonyms += [str(lemma.name()) for lemma in synset.lemmas()]
synonyms = [synonym.replace("_", " ") for synonym in synonyms]
synonyms = list(set(synonyms))
synonyms = [synonym for synonym in synonyms if synonym != word]
return synonyms
def get_antonyms(word, synsets):
antonyms = []
for syn in synsets:
for l in syn.lemmas():
if l.antonyms():
antonyms += [str(lemma.name()) for lemma in l.antonyms()]
antonyms = [antonym.replace("_", " ") for antonym in antonyms]
antonyms = list(set(antonyms))
antonyms = [antonym for antonym in antonyms if antonym != word]
return antonyms
def get_synonym_antonym(word, pos):
wordnet_pos = {
"noun": wordnet.NOUN,
"verb": wordnet.VERB,
"adj": wordnet.ADJ,
"adv": wordnet.ADV
}
if pos:
synsets = wordnet.synsets(word, pos=wordnet_pos[pos])
else:
synsets = wordnet.synsets(word)
synonyms = get_synonyms(word, synsets)
antonyms = get_antonyms(word, synsets)
return {'word':word, 'pos':pos, 'synonyms': synonyms, 'antonyms': antonyms}
def url_scraper(url):
try:
article = Article(url)
article.download()
article.parse()
news_info = {
"url": url,
"title": article.title,
"text": article.text,
"summary": "",
#"authors": article.authors,
"keywords": [],
"publish_date": article.publish_date.__str__()[:19],
#"top_image": article.top_image
}
except:
news_info = {
"Error": "Content Not Found"
}
try:
article.nlp()
news_info["summary"] = article.summary,
news_info["keywords"] = article.keywords
except:
pass
return news_info
def check_api_key(api_key):
return api_key == insight_api_key
def get_twitter_mentions(_id,isTwitterID):
capsuleID_twitterProfile = Connection.Instance().CapsuleCRMdb.capsuleID_twitterProfile
if isTwitterID:
twitterID = _id
try:
crmID = list(capsuleID_twitterProfile.find({'TwitterProfile.id_str':_id}))[0]["CapsuleID"]
except:
crmID = -1
return twitterID, crmID, [], []
else:
crmID = _id
try:
twitterID = list(capsuleID_twitterProfile.find({'CapsuleID':_id}))[0]["TwitterProfile"]["id_str"]
except:
twitterID = -1
return twitterID, crmID, [], []
mention_info = Connection.Instance().CapsuleCRMdb.twitter_mentions.find_one({"TwitterID": twitterID})
return mention_info["TwitterID"], mention_info["CapsuleID"], mention_info["mentioned_to"], mention_info["mentioned_by"]
def get_om_user_profiles(page,sorting,descending,filters):
om_user_profiles = Connection.Instance().CapsuleCRMdb.om_user_profiles
possible_filters = ["min_followers", "max_followers", "min_tweets", "max_tweets"]
filter_keys = list(filters.keys())
filter_str = ""
if "min_followers" in filter_keys and "max_followers" in filter_keys:
filter_str += "'twitter_profile.followers_count': {'$gte':"+str(filters["min_followers"])+", '$lte':"+str(filters["max_followers"])+"},"
elif "min_followers" in filter_keys:
filter_str += "'twitter_profile.followers_count': {'$gte':"+str(filters["min_followers"])+"},"
elif "max_followers" in filter_keys:
filter_str += "'twitter_profile.followers_count': {'$lte':"+str(filters["max_followers"])+"},"
if "min_tweets" in filter_keys and "max_tweets" in filter_keys:
filter_str += "'twitter_profile.statuses_count': {'$gte':"+str(filters["min_tweets"])+", '$lte':"+str(filters["max_tweets"])+"},"
elif "min_tweets" in filter_keys:
filter_str += "'twitter_profile.statuses_count': {'$gte':"+str(filters["min_tweets"])+"},"
elif "max_tweets" in filter_keys:
filter_str += "'twitter_profile.statuses_count': {'$lte':"+str(filters["max_tweets"])+"},"
filter_str = '{' + filter_str[:-1] + '}'
filter_str = eval(filter_str)
result = om_user_profiles.find(filter_str, {"_id":0})
if descending:
order = -1
else:
order = 1
if sorting == "c_date":
result = result.sort([("capsule_profile.createdAt",order)])
if sorting == "c_alphabetical":
result = result.sort([("capsule_profile.name",order), ("capsule_profile.firstName",order)])
if sorting == "t_followers":
result = result.sort([("twitter_profile.followers_count",order)])
if sorting == "t_tweets":
result = result.sort([("twitter_profile.statuses_count",order)])
return list(result[(page-1)*profilePerPage : page*profilePerPage])
def get_om_user_profiles2(_id,isTwitterID):
om_user_profiles = Connection.Instance().CapsuleCRMdb.om_user_profiles
if isTwitterID:
twitterID = _id
try:
profile = om_user_profiles.find_one({'twitter_profile.id_str':str(_id)})
crmID = profile['capsule_profile']['id']
except:
crmID = -1
return {"twitter_id":twitterID, "crm_id":str(crmID), "twitter_profile":[], "capsule_profile":[], "extra_info":[]}
else:
crmID = _id
try:
profile = om_user_profiles.find_one({'capsule_profile.id':int(_id)})
try:
twitterID = profile['twitter_profile']['id_str']
except:
twitterID = -1
return {"twitter_id":twitterID, "crm_id":str(crmID), "twitter_profile":[], "capsule_profile":profile['capsule_profile'], "extra_info":profile['extra_info']}
except:
twitterID = -1
return {"twitter_id":twitterID, "crm_id":crmID, "twitter_profile":[], "capsule_profile":[], "extra_info":[]}
return {"twitter_id":twitterID, "crm_id":str(crmID), "twitter_profile":profile['twitter_profile'], "capsule_profile":profile['capsule_profile'], "extra_info":profile['extra_info']}
def get_twitter_news(_id,page,isTwitterID):
capsuleID_twitterProfile = Connection.Instance().CapsuleCRMdb.capsuleID_twitterProfile
if isTwitterID:
twitterID = _id
try:
crmID = list(capsuleID_twitterProfile.find({'TwitterProfile.id_str':_id}))[0]["CapsuleID"]
except:
crmID = -1
return twitterID, crmID, []
else:
crmID = _id
try:
twitterID = list(capsuleID_twitterProfile.find({'CapsuleID':_id}))[0]["TwitterProfile"]["id_str"]
except:
twitterID = -1
return twitterID, crmID, []
twitter_tweets_news = Connection.Instance().CapsuleCRMdb.twitter_tweets_news
try:
news_ids = list(set(pd.DataFrame(list(twitter_tweets_news.find({"user_id": twitterID}, {"news_id":1, "_id":0})))["news_id"]))[(page-1)*tweetPerPage:page*tweetPerPage]
except:
return twitterID, crmID, []
twitter_url_news = Connection.Instance().CapsuleCRMdb.twitter_url_news
news_list = []
for nid in news_ids:
try:
news_list.append(list(pd.DataFrame(list(twitter_url_news.find({"news_id": int(nid)}, {"news_info":1, "_id":0})))["news_info"])[0])
except:
pass
return twitterID, crmID, news_list
def twitter_id_to_crm_id(twitter_id):
capsuleID_twitterProfile = Connection.Instance().CapsuleCRMdb.capsuleID_twitterProfile
try:
crmID = list(capsuleID_twitterProfile.find({'TwitterProfile.id_str':twitter_id}))[0]["CapsuleID"]
except:
crmID = -1
return crmID
def crm_id_to_twitter_id(crmID):
capsuleID_twitterProfile = Connection.Instance().CapsuleCRMdb.capsuleID_twitterProfile
try:
twitterID = list(capsuleID_twitterProfile.find({'CapsuleID':crmID}))[0]["TwitterProfile"]["id_str"]
except:
twitterID = -1
return twitterID
def get_twitter_profiles(_id,isTwitterID):
capsuleID_twitterProfile = Connection.Instance().CapsuleCRMdb.capsuleID_twitterProfile
if isTwitterID:
twitterID = _id
try:
crmID = list(capsuleID_twitterProfile.find({'TwitterProfile.id_str':_id}))[0]["CapsuleID"]
except:
crmID = -1
else:
crmID = _id
try:
twitterID = list(capsuleID_twitterProfile.find({'CapsuleID':_id}))[0]["TwitterProfile"]["id_str"]
except:
twitterID = -1
twitter_profile_snaps = Connection.Instance().CapsuleCRMdb.twitter_profile_snaps
try:
twitterProfile = list(twitter_profile_snaps.find({'CapsuleID': crmID}).sort([("DateTime",-1)]))[0]["TwitterProfile"]
except:
twitterProfile = -1
return twitterID, crmID, twitterProfile
def get_twitter_followers(_id,from_date,to_date,page,isTwitterID,only_crm_users):
capsuleID_twitterProfile = Connection.Instance().CapsuleCRMdb.capsuleID_twitterProfile
if isTwitterID:
twitterID = _id
try:
crmID = list(capsuleID_twitterProfile.find({'TwitterProfile.id_str':_id}))[0]["CapsuleID"]
except:
crmID = -1
return twitterID, crmID, [], []
else:
crmID = _id
try:
twitterID = list(capsuleID_twitterProfile.find({'CapsuleID':_id}))[0]["TwitterProfile"]["id_str"]
except:
twitterID = -1
return twitterID, crmID, [], []
twitter_followerIDs = Connection.Instance().CapsuleCRMdb.twitter_followerIDs
followerIDs = []
capsuleIDs = []
try:
df_followerChange = pd.DataFrame(list(twitter_followerIDs.find({'TwitterID': twitterID}).sort([("DateTime",1)])))
if from_date != "-1":
df_followerChange = df_followerChange[df_followerChange.DateTime >= from_date]
if to_date != "-1":
df_followerChange = df_followerChange[df_followerChange.DateTime <= to_date]
for index, row in df_followerChange.iterrows():
if followerIDs == [] and len(row['FollowerIDs']) > 0:
followerIDs = row['FollowerIDs'].copy()
else:
for removed in row['RemovedFollowers']:
try:
followerIDs.remove(int(removed))
except:
pass
for added in row['AddedFollowers']:
followerIDs.append(int(added))
user_ids = {str(x["TwitterProfile"]["id_str"]): str(x["CapsuleID"]) for x in list(capsuleID_twitterProfile.find())}
if only_crm_users:
cfids = []
ccids = []
for fid in followerIDs:
if str(fid) in user_ids:
capsuleID = user_ids[str(fid)]
cfids.append(str(fid))
ccids.append(str(capsuleID))
return twitterID, crmID, cfids, ccids
else:
for fid in followerIDs[(page-1)*idPerPage:page*idPerPage]:
if str(fid) in user_ids:
capsuleID = user_ids[str(fid)]
else:
capsuleID = -1
capsuleIDs.append(str(capsuleID))
except:
followerIDs = []
capsuleIDs = []
return twitterID, crmID, followerIDs[(page-1)*idPerPage:page*idPerPage], capsuleIDs
def get_twitter_friends(_id,from_date,to_date,page,isTwitterID,only_crm_users):
capsuleID_twitterProfile = Connection.Instance().CapsuleCRMdb.capsuleID_twitterProfile
if isTwitterID:
twitterID = _id
try:
crmID = list(capsuleID_twitterProfile.find({'TwitterProfile.id_str':_id}))[0]["CapsuleID"]
except:
crmID = -1
return twitterID, crmID, [], []
else:
crmID = _id
try:
twitterID = list(capsuleID_twitterProfile.find({'CapsuleID':_id}))[0]["TwitterProfile"]["id_str"]
except:
twitterID = -1
return twitterID, crmID, [], []
df_capsuleID_twitterProfile = pd.DataFrame(list(capsuleID_twitterProfile.find({})))
twitter_friendIDs = Connection.Instance().CapsuleCRMdb.twitter_friendIDs
friendIDs = []
capsuleIDs = []
try:
df_friendChange = pd.DataFrame(list(twitter_friendIDs.find({'TwitterID': twitterID}).sort([("DateTime",1)])))
if from_date != "-1":
df_friendChange = df_friendChange[df_friendChange.DateTime >= from_date]
if to_date != "-1":
df_friendChange = df_friendChange[df_friendChange.DateTime <= to_date]
for index, row in df_friendChange.iterrows():
if friendIDs == [] and len(row['FriendIDs']) > 0:
friendIDs = row['FriendIDs'].copy()
else:
for removed in row['RemovedFriends']:
try:
friendIDs.remove(int(removed))
except:
pass
for added in row['AddedFriends']:
friendIDs.append(int(added))
user_ids = {str(x["TwitterProfile"]["id_str"]): str(x["CapsuleID"]) for x in list(capsuleID_twitterProfile.find())}
if only_crm_users:
cfids = []
ccids = []
for fid in friendIDs:
if str(fid) in user_ids:
capsuleID = user_ids[str(fid)]
cfids.append(str(fid))
ccids.append(str(capsuleID))
return twitterID, crmID, cfids, ccids
else:
for fid in friendIDs[(page-1)*idPerPage:page*idPerPage]:
if str(fid) in user_ids:
capsuleID = user_ids[str(fid)]
else:
capsuleID = -1
capsuleIDs.append(str(capsuleID))
except:
friendIDs = []
capsuleIDs = []
return twitterID, crmID, friendIDs[(page-1)*idPerPage:page*idPerPage], capsuleIDs
def get_twitter_tweets(_id,page,isTwitterID):
capsuleID_twitterProfile = Connection.Instance().CapsuleCRMdb.capsuleID_twitterProfile
if isTwitterID:
twitterID = _id
try:
crmID = list(capsuleID_twitterProfile.find({'TwitterProfile.id_str':_id}))[0]["CapsuleID"]
except:
crmID = -1
else:
crmID = _id
try:
twitterID = list(capsuleID_twitterProfile.find({'CapsuleID':_id}))[0]["TwitterProfile"]["id_str"]
except:
twitterID = -1
twitter_tweets = Connection.Instance().CapsuleCRMdb.twitter_tweets
try:
twitterID = list(capsuleID_twitterProfile.find({'CapsuleID': crmID}))[0]["TwitterProfile"]["id_str"]
tweets = list(twitter_tweets.find({'user.id_str': twitterID},{'_id': 0}).sort([("id",-1)]).skip((page-1)*tweetPerPage).limit(tweetPerPage))
except:
tweets = []
return twitterID, crmID, tweets
def get_tnc_twitter_profiles(dbID):
db = Connection.Instance().tnc_dbs[dbID]
try:
twitterProfile = list(db.twitter_profile.find({},{'_id': 0}))
except:
twitterProfile = -1
return twitterProfile
def get_tnc_twitter_followers(dbID, from_date,to_date):
db = Connection.Instance().tnc_dbs[dbID]
twitter_followerIDs = db.twitter_followerIDs
df_twitter_followerIDs = pd.DataFrame(list(twitter_followerIDs.find({})))
twitter_profile = db.twitter_profile
df_userInfo = pd.DataFrame(list(twitter_profile.find()))
followerIDs = []
for uid in list(df_userInfo['id_str']):
df_currentUserFollowers = df_twitter_followerIDs[df_twitter_followerIDs["TwitterID"] == uid].sort_values("DateTime")
if from_date != "-1":
df_currentUserFollowers = df_currentUserFollowers[df_currentUserFollowers.DateTime >= from_date]
if to_date != "-1":
df_currentUserFollowers = df_currentUserFollowers[df_currentUserFollowers.DateTime <= to_date]
lastFollowerIDs = []
for index, row in df_currentUserFollowers.iterrows():
if lastFollowerIDs == [] and len(row['FollowerIDs']) > 0:
lastFollowerIDs = row['FollowerIDs'].copy()
else:
for removed in row['RemovedFollowers']:
try:
lastFollowerIDs.remove(int(removed))
except:
pass
for added in row['AddedFollowers']:
lastFollowerIDs.append(int(added))
followerIDs.append({"twitter_id":uid, "follower_ids":lastFollowerIDs})
return followerIDs
def get_tnc_twitter_friends(dbID, from_date,to_date):
db = Connection.Instance().tnc_dbs[dbID]
twitter_friendIDs = db.twitter_friendIDs
df_twitter_friendIDs = pd.DataFrame(list(twitter_friendIDs.find({})))
twitter_profile = db.twitter_profile
df_userInfo = pd.DataFrame(list(twitter_profile.find()))
friendIDs = []
for uid in list(df_userInfo['id_str']):
df_currentUserFriends = df_twitter_friendIDs[df_twitter_friendIDs["TwitterID"] == uid].sort_values("DateTime")
if from_date != "-1":
df_currentUserFriends = df_currentUserFriends[df_currentUserFriends.DateTime >= from_date]
if to_date != "-1":
df_currentUserFriends = df_currentUserFriends[df_currentUserFriends.DateTime <= to_date]
lastFriendIDs = []
for index, row in df_currentUserFriends.iterrows():
if lastFriendIDs == [] and len(row['FriendIDs']) > 0:
lastFriendIDs = row['FriendIDs'].copy()
else:
for removed in row['RemovedFriends']:
try:
lastFriendIDs.remove(int(removed))
except:
pass
for added in row['AddedFriends']:
lastFriendIDs.append(int(added))
friendIDs.append({"twitter_id":uid, "friend_ids":lastFriendIDs})
return friendIDs
def get_tnc_twitter_tweets(dbID):
db = Connection.Instance().tnc_dbs[dbID]
twitter_tweets = db.twitter_tweets
twitter_profile = db.twitter_profile
df_userInfo = pd.DataFrame(list(twitter_profile.find()))
all_tweets = []
for uid in list(df_userInfo['id_str']):
try:
tweets = list(twitter_tweets.find({'user.id_str': uid},{'_id': 0}))
except:
tweets = -1
all_tweets.append({"twitter_id":uid, "tweets":tweets})
return all_tweets
def add_answer_to_db(uid, sid, answer):
ts = time.time()
st = datetime.datetime.fromtimestamp(ts).strftime('%Y-%m-%d %H:%M:%S')
return Connection.Instance().db['ombot-answers'].insert({"uid" : uid, "sid" : sid, "answer" : answer, "timestamp": st})
def get_questions():
cnt = Connection.Instance().db['question-answer'].count()
return Connection.Instance().db['question-answer'].find({"StatementID" : np.random.randint(1,cnt+1)})
def get_next_user_id_sequence():
cursor = Connection.Instance().userDb["counters"].find_and_modify(
query={'_id': "user_id"},
update={'$inc': {'seq': 1}},
new=True,
upsert=True
)
return cursor['seq']
def register(username, password):
#user_id = get_next_user_id_sequence()
#Connection.Instance().userDb['users'].insert_one({"user_id": user_id, "username" : username, "password" : password})
#return {'response': True, 'user_id': user_id}
pass
def getUser(user_id):
with Connection.Instance().get_cursor() as cur:
sql = (
"SELECT username "
"FROM users "
"WHERE user_id = %s"
)
cur.execute(sql, [user_id])
fetched = cur.fetchone()
return {'username': fetched[0]}
def updateUser(user_id, password):
with Connection.Instance().get_cursor() as cur:
sql = (
"UPDATE users "
"SET password = %s "
"WHERE user_id = %s"
)
cur.execute(sql, [password, user_id])
return {'response': True}
def login(username, password):
# with Connection.Instance().get_cursor() as cur:
# sql = (
# "SELECT * "
# "FROM users "
# "WHERE username = %s"
# )
# cur.execute(sql, [username])
# fetched = cur.fetchall()
# if len(fetched) == 0:
# return {'response': False, 'error_type': 1, 'message': 'Invalid username'}
# if password != fetched[0][2]:
# return {'response': False, 'error_type': 2, 'message': 'Invalid password'}
user = Connection.Instance().userDb['users'].find_one({"username" : username, "password": password})
if user is not None and len(user) != 0:
return {'response': True, 'user_id': user['user_id']}
else:
return {'response': False, 'error_type': 2, 'message': 'Invalid password'}
def get_twitter_users():
profiles = Connection.Instance().CapsuleCRMdb["capsuleID_twitterProfile"].find({}, {"TwitterProfile":1, "_id":0})
new_profiles = []
for profile in profiles:
new_profiles.append(profile['TwitterProfile'])
return new_profiles
def get_crm_users(cid = None):
if cid is not None:
profiles = Connection.Instance().CapsuleCRMdb["om_user_profiles"].find({"capsule_profile.id":int(cid)}, {"capsule_profile":1, "_id":0})
else:
profiles = Connection.Instance().CapsuleCRMdb["om_user_profiles"].find({}, {"capsule_profile":1, "_id":0})
new_profiles = []
for profile in profiles:
cp = profile['capsule_profile']
cp['createdAt'] = datetime.datetime.strptime(cp['createdAt'], '%Y-%m-%dT%H:%M:%SZ').strftime("%Y-%m-%d")
city = 'World'
gender = 'Empty'
age = '-'
for index in cp['fields']:
if index['definition']['name'] == 'CIty':
city = index['value']
break
if index['definition']['name']== 'Gender':
gender = index['value']
if index['definition']['name']== 'Age':
age = index['value']
address = "None"
for addr in cp['emailAddresses']:
address = addr['address']
websiteUrl = "None"
for ws in cp['websites']:
websiteUrl = ws['url']
bckgrndimg = "https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQ6-dvOOYeOZ0gpFPbFGJYPg_v2aWQUViRoHQghyFTPjqGmy3V7eA"
if cp['type'] == 'person':
name = ""
if cp["firstName"] is not None:
name += cp["firstName"] + " "
if cp["lastName"] is not None:
name += cp["lastName"]
new_profile = {'tags': cp['tags'], 'address': address, 'website_url':websiteUrl, 'backgroundImg': bckgrndimg, 'id': cp['id'], 'name': name, 'jobTitle': cp['jobTitle'], 'pictureURL': cp['pictureURL'], 'createdAt': cp['createdAt'], 'city':city, 'age': age}
else:
new_profile = {'tags': cp['tags'], 'address': address, 'website_url':websiteUrl, 'backgroundImg': bckgrndimg, 'id': cp['id'], 'name': cp["name"], 'pictureURL': cp['pictureURL'], 'jobTitle': "Organization", 'createdAt': cp['createdAt'], 'city':city, 'age': age}
new_profiles.append(new_profile)
return new_profiles
def get_twitter_screen_name(twitter_id):
return str(list(Connection.Instance().CapsuleCRMdb["capsuleID_twitterProfile"].find({"TwitterProfile.id_str": str(twitter_id)}))[0]["TwitterProfile"]["screen_name"])
def get_follower_change(_id,isTwitterID):
capsuleID_twitterProfile = Connection.Instance().CapsuleCRMdb.capsuleID_twitterProfile
if isTwitterID:
twitterID = _id
try:
crmID = capsuleID_twitterProfile.find_one({'TwitterProfile.id_str':_id})["CapsuleID"]
except:
crmID = -1
return twitterID, crmID, [], []
else:
crmID = _id
try:
twitterID = capsuleID_twitterProfile.find_one({'CapsuleID':_id})["TwitterProfile"]["id_str"]
except:
twitterID = -1
return twitterID, crmID, [], []
df_twitter_followerIDs = pd.DataFrame(list(Connection.Instance().CapsuleCRMdb.twitter_followerIDs.find({"TwitterID":twitterID})))
df_currentUserFollowers = df_twitter_followerIDs.sort_values("DateTime")
followerCountChange = [0]
followerChangeDate = [0]
for i, row in df_currentUserFollowers.iterrows():
if row.DateTime[:10] not in followerChangeDate:
followerChangeDate.append(row.DateTime[:10])
if i == 0:
followerCountChange.append(len(row.FollowerIDs))
continue
followerCountChange.append(len(row.AddedFollowers)+followerCountChange[-1]-len(row.RemovedFollowers))
return twitterID, crmID, followerCountChange[1:], followerChangeDate[1:]
def graph_follower_change(twitter_id):
twitter_id, crmID, followerCountChange, followerChangeDate = get_follower_change(twitter_id,True)
followerChangeDate = [fcd[5:] for fcd in followerChangeDate]
font1 = {'size' : 20}
font2 = {'size' : 17}
plt.switch_backend('agg')
mpl_fig = plt.figure(figsize=(8,7))
plt.title("Change of Followers", **font1)
plt.plot( range(len(followerCountChange)), followerCountChange)
plt.plot( range(len(followerCountChange)), followerCountChange, 'o', label="Followers")
plt.xlim(0, len(followerCountChange)-1)
#plt.ylim(0, max(followerCountChange)+10)
plt.xlabel("Dates", **font2)
plt.ylabel("Followers Count", **font2)
plotly_fig = tls.mpl_to_plotly( mpl_fig )
plotly_fig['layout']['xaxis1'].update({'ticktext': followerChangeDate,
'tickvals': list(range(len(followerCountChange))),
'tickfont': {'size': 14, 'family':'Courier New, monospace'},
'tickangle': 60
})
return plotly.offline.plot(plotly_fig, output_type='div')
scoring_matrix = np.array([
[3,1,0,0,0,-1,-1,0,0,1],
[1,3,1,1,0,-1,-1,0,0,0],
[0,1,3,1,1,0,0,0,-1,-1],
[0,1,1,3,1,0,0,0,-1,-1],
[0,0,1,1,3,1,0,0,-1,-1],
[-1,-1,0,0,1,3,1,0,0,0],
[-1,-1,0,0,0,1,3,1,0,0],
[0,0,0,0,0,0,1,3,1,0],
[0,0,-1,-1,-1,0,0,1,3,1],
[1,0,-1,-1,-1,0,0,0,1,3]
])
schwartz =['universalism', 'benevolence', 'conformity', 'tradition',
'security', 'power', 'achievement', 'hedonism', 'stimulation',
'self-direction']
def get_psychometric_scores(crm_id):
try:
Connection.Instance().CapsuleCRMdb.om_user_profiles.find_one({'capsule_profile.id':int(crm_id)})["capsule_profile"]
except:
return {'error': "invalid crm id argument"}
scoring = np.array([0]*10)
df_uq = pd.DataFrame(list(Connection.Instance().CapsuleCRMdb.user_question.find({'crm_id': str(crm_id)})))
if len(df_uq) > 0:
uq_qid = [np.asscalar(qid) for qid in np.array(df_uq['q_id'])]
df_qq = pd.DataFrame(list(Connection.Instance().CapsuleCRMdb.question_questions.find({'q_id': {"$in": uq_qid}})))
df_qa = pd.DataFrame(list(Connection.Instance().CapsuleCRMdb.question_answers.find()))
for i, uq in df_uq.iterrows():
if uq['answer_id'] > 0:
ans_id = uq['answer_id']
all_ans_ids = list(df_qq[df_qq.q_id == uq['q_id']]['answer_ids'])[0]
for a_id in all_ans_ids:
if a_id == ans_id:
multp = 0.8
elif a_id == 0:
continue
else:
multp = -0.4
sch_dist = list(df_qa[df_qa.id == a_id]['schwartz_distribution'])[0]
for j, s in enumerate(schwartz):
scoring = scoring + multp*sch_dist[s]*scoring_matrix[j]
elif uq['answer_id'] < 0:
multp = 0
if uq['answer_id'] == -1:
multp = -0.8
elif uq['answer_id'] == -3:
multp = 1
else:
continue
ans_id = list(df_qq[df_qq.q_id == uq['q_id']]['text'])[0]['answer_id']
sch_dist = list(df_qa[df_qa.id == ans_id]['schwartz_distribution'])[0]
for j, s in enumerate(schwartz):
scoring = scoring + multp*sch_dist[s]*scoring_matrix[j]
personality_scores = {}
for i, s in enumerate(schwartz):
personality_scores[s] = np.round(scoring[i], 3).astype(float)
return personality_scores
def get_user_topics(crm_id):
try:
Connection.Instance().CapsuleCRMdb.om_user_profiles.find_one({'capsule_profile.id':int(crm_id)})["capsule_profile"]
except:
return {'error': "invalid crm id argument"}
return Connection.Instance().CapsuleCRMdb.om_user_properties.find_one({'CapsuleID':str(crm_id)})["wt_topics"]
def get_contents_contents(content_ids, temp_ids, content_type):
contents_dict = {}
for c_id in content_ids:
contents_dict[c_id] = Connection.Instance().CapsuleCRMdb.content_table.find_one({"content_id":int(c_id), "content_type":content_type}, {"_id":0})
temps_dict = {}
for t_id in temp_ids:
temps_dict[t_id] = Connection.Instance().CapsuleCRMdb.temp_content_table.find_one({"temp_id":int(t_id), "content_type":content_type}, {"_id":0})
return {'Permanent Contents': contents_dict, 'Temporary Contents': temps_dict}
def get_news_contents(content_ids, temp_ids):
return get_contents_contents(content_ids, temp_ids, "news")
def get_events_contents(content_ids, temp_ids):
return get_contents_contents(content_ids, temp_ids, "event")
def get_questions_contents(question_ids):
questions = {}
for q_id in question_ids:
try:
q = Connection.Instance().CapsuleCRMdb.question_questions.find_one({"q_id":int(q_id)}, {"_id":0})
answer_vals = {}
for ans in q["answer_ids"]:
answer_vals[Connection.Instance().CapsuleCRMdb.question_answers.find_one({"id": ans})['answer']] = ans
question_text = Connection.Instance().CapsuleCRMdb.question_statements.find_one({"id": q["text"]['statement_id']})['text']
if 'answer_id' in q["text"]:
question_text = question_text.format(Connection.Instance().CapsuleCRMdb.question_answers.find_one({"id": q["text"]['answer_id']})['answer'].lower())
if 'answer_ids' in q["text"]:
t_ans = list(Connection.Instance().CapsuleCRMdb.question_answers.find({"id": {"$in": q["text"]['answer_ids']}},{'answer':1, '_id':0}))
t_ans = [ta['answer'].lower() for ta in t_ans]
question_text = question_text.format(*t_ans)
questions[q_id] = {
"question_id": q_id,
"question_text": question_text,
"answers" : answer_vals
}
except: