Esempio n. 1
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def get_user_interests(userid, maxrecs):
    # Expects http://127.0.0.1:5000/user_interests/2/1000 where the 2 is user id, 10 is record limit.
    # Userid of 0 means all users.
    c: sqlite3.Connection = mydb.open_db()
    cur = c.cursor()
    # The JSON serializer alphabetizes by key so force this to the first record location.
    ret = {
        '000_metadata': {
            'userid': userid,
            'maxrecs': maxrecs,
            'columns': ['uid', 'user_handle', 'interest_tag', 'date_followed'],
            'key is': 'uid'
        }
    }
    # Yikes! No input error checking, highly hackable! THough there is some protection with Flask's
    # routing parser insisting on integer above.
    if userid == 0:
        for row in cur.execute('SELECT * FROM user_interests LIMIT ?',
                               [maxrecs]).fetchall():
            # row like (2, 1, '"mvc2"', '"2017-06-27 16:26:52"')
            ret[str(row[0])] = row
    else:
        for row in cur.execute(
                'SELECT * FROM user_interests WHERE user_handle=? LIMIT ?',
            [userid, maxrecs]).fetchall():
            # row like (2, 1, '"mvc2"', '"2017-06-27 16:26:52"')
            ret[str(row[0])] = row
    mydb.close_db(c)
    return ret
Esempio n. 2
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def delete_pattern(pattern_id):
    mydb.open()
    nodes = mydb.query_db('SELECT * FROM node WHERE pid = ?',[pattern_id])
    if len(nodes) > 1:
        return False
    prohibited_node = []
    results = mydb.query_db('SELECT * FROM pattern')
    for p in results:
        pid = p['pid']
        re1 = mydb.query_db('SELECT * FROM edge WHERE _from = ?',[pid])
        re2 = mydb.query_db('SELECT * FROM edge WHERE _to = ?',[pid])
        if len(re1)+len(re2) == 1:
            if len(re1) == 1:
                pro = re1[0]['_to']
            else:
                pro = re2[0]['_from']
            prohibited_node.append(pro)
    print prohibited_node
    if pid in prohibited_node:
        mydb.close_db()
        return False
    else:
        mydb.delete_db('delete from edge where _from = ? or _to = ?',[pattern_id, pattern_id])
        mydb.delete_db('delete from pattern where pid=?', [pattern_id])
        mydb.delete_db('delete from node where pid=? and node_index = 1', [pattern_id])
        mydb.close_db()
        return True
def store_message_in_database(_from, _to, msg):
    mydb.open()
    ISOTIMEFORMAT='%Y-%m-%d %X'
    createdTime=str(time.strftime( ISOTIMEFORMAT, time.localtime() ))
    result = mydb.insert_db('insert into message(_from,_to,msg,createdAt) values(?,?,?,?)',
                            [_from,_to,msg,createdTime])
    mydb.close_db()
def generate_graph():
    mydb.open()
    graph= dict()
    query = 'select * from edge'
    result = mydb.query_db(query, one = False)
    mydb.close_db()
    inactive_pid_list=SendMessage.find_all_inactive_pid()
    if not result==None:
        for r in result:
            f=r['_from']
            t=r['_to']
            if not f in inactive_pid_list and not t in inactive_pid_list:
                # if the key is not exist in the graph
                if f not in graph:
                   graph[f]=[t]
                else:
                   temp_List=graph[f]
                   temp_List.append(t)
                if t not in graph:
                    graph[t]=[f]
                else:
                    temp_List=graph[t]
                    temp_List.append(f)
                # print str(r['_from'])+' to '+ str(r['_to'])
    return graph
def delete_pattern(pattern_id):
    mydb.open()
    mydb.delete_db('delete from edge where _from = ? or _to = ?',[pattern_id, pattern_id])
    mydb.delete_db('delete from pattern where pid=?', [pattern_id])
    mydb.delete_db('delete from node where pid=? and node_index = 1', [pattern_id])
    mydb.close_db()
    return True
def add_connection(nid1,nid2):
    mydb.open()
    p1 = mydb.query_db('SELECT * FROM node WHERE nid = ?', [nid1], one = True)
    p2 = mydb.query_db('SELECT * FROM node WHERE nid = ?', [nid2], one = True)
    mydb.insert_db('INSERT INTO  edge(_from, _to) VALUES (?,?)', [p1['pid'], p2['pid']])

    mydb.close_db()
    pass
Esempio n. 7
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def one_pattern_edge(pid):
    edges = []
    mydb.open()
    results = mydb.query_db('SELECT * FROM edge WHERE _from = ?', [pid])
    for e in results:
        edges.append(e['_to'])
    mydb.close_db()
    return edges
Esempio n. 8
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def change_pwd(username,pwd):
    mydb.open()
    result=_valid_login_format(username,pwd)
    if not result==None:
        return result
    mydb.insert_db("""update account set pwd=? WHERE username= ?""", [pwd, username])
    mydb.close_db()
    return None
def delete_connection(nid1,nid2):
    mydb.open()
    p1 = mydb.query_db('SELECT * FROM node WHERE nid = ?', [nid1], one = True)
    p2 = mydb.query_db('SELECT * FROM node WHERE nid = ?', [nid2], one = True)
    mydb.delete_db('delete from edge where _from = ? and _to = ?',[p1['pid'], p2['pid']])
    mydb.delete_db('delete from edge where _from = ? and _to = ?',[p2['pid'], p1['pid']])
    mydb.close_db()
    pass
Esempio n. 10
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def change_security_question(index, q, a, username):
    if len(a) == 0:
        return -1
    mydb.open()
    query = 'update account set sq_%d= ?,as_%d=? WHERE username = ?' % (index, index)
    print query
    mydb.insert_db(query, [q, a, username])
    mydb.close_db()
    return 1
Esempio n. 11
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def add_pattern(ps):
    mydb.open()
    pid = mydb.insert_db('INSERT INTO pattern (creator) VALUES (?)',['spikewang'])
    print pid
    nid = mydb.insert_db('INSERT INTO node (pid,node_index,active) VALUES (?,1,1)', [pid])
    for p in ps:
        mydb.insert_db('INSERT INTO  edge(_from, _to) VALUES (?,?)',[pid,p])
    mydb.close_db()
    return (pid, nid)
def add_node(pid,index):
    mydb.open()
    results = mydb.query_db('SELECT * FROM node WHERE pid = ? and node_index = ?', [pid, index/2] )
    if len(results)!=0:
        nid = mydb.insert_db('INSERT INTO node (pid,node_index,active) VALUES (?,?,1)',[pid,index])
        mydb.close_db()
        return nid
    else:
        return -1
Esempio n. 13
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def get_node_byID(nid):
    mydb.open()
    # active =1 means it is active
    result = mydb.query_db('select pid,node_index from node WHERE nid=?',[nid], one=True)
    mydb.close_db()
    if result:
        # we only need pid, and node index for a node to find a path
        node=Node(nid,result['pid'],result['node_index'])
    return node
Esempio n. 14
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def get_all_users():
    mydb.open()
    result = mydb.query_db('select * from account WHERE type = 0',[],one=False)
    mydb.close_db()
    userList=[]
    for user in result:
       dict = {'name':user['username'],'fname':user['fname'],'lname':user['lname']}
       userList.append(dict)
    return userList
Esempio n. 15
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def get_security_question(username):
    mydb.open()
    result = mydb.query_db('select * from account WHERE username = ? ', [username], one=True)
    mydb.close_db()
    if result:
        questions = question(result['sq_1'],result['as_1'],result['sq_2'],result['as_2'],result['sq_3'],result['as_3'])
        return questions
    else:
        return None
Esempio n. 16
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def transform_to_nidList(pid, path):
    nidList=[]
    mydb.open()
    for index in path:
        query='select nid from node WHERE pid=? AND node_index= ?'
        result = mydb.query_db(query,[str(pid),index], one = True)
        if not result==None:
            nidList.append(result['nid'])
    mydb.close_db()
    return nidList
def add_pattern(ps, did):
    mydb.open()
    d_pattern = mydb.query_db('SELECT * FROM pattern WHERE did = ? and isDomain = 1', [did], one = True)
    pid = mydb.insert_db('INSERT INTO pattern (did, isDomain) VALUES (?,0)', [did])
    nid = mydb.insert_db('INSERT INTO node (pid,node_index,active) VALUES (?,1,1)', [pid])
    mydb.insert_db('INSERT INTO  edge(_from, _to) VALUES (?,?)', [pid, d_pattern['pid']])
    for p in ps:
        mydb.insert_db('INSERT INTO  edge(_from, _to) VALUES (?,?)',[pid,p])
    mydb.close_db()
    return (pid, nid)
def find_all_inactive_pid():
    mydb.open()
    # active =1 means it is active
    result = mydb.query_db('select pid from node WHERE active=0 AND node_index=1', one=False)
    mydb.close_db()
    pidList=[]
    if result:
        for node in result:
            pidList.append(node['pid'])
    return pidList
def find_all_inactiveNode():
    mydb.open()
    # active =1 means it is active
    result = mydb.query_db('select * from node WHERE active=0', one=False)
    mydb.close_db()
    nidList=[]
    if result:
        for nid in result:
            nidList.append(nid['nid'])
    return nidList
Esempio n. 20
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def return_p_edges():
    edges = []
    mydb.open()
    results = mydb.query_db('SELECT * FROM edge ')
    for e in results:
        source = e['_from']
        target = e['_to']
        tmp_edge = edge(source, target)
        edges.append(tmp_edge)
    mydb.close_db()
    return edges
Esempio n. 21
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def view_all_message():
    message_list=[]
    mydb.open()
    result = mydb.query_db('select * from message', one=False)
    if result:
        for msg in result:
            m=message(msg['from_id'],msg['to_id'],msg['msg'])
            message_list.append(m)

    mydb.close_db()
    return message_list
def view_all_message():
    message_list=[]
    mydb.open()
    result = mydb.query_db('select * from message', one=False)
    if result:
        for msg in result:
            m = message(msg['_from'], msg['_to'], msg['msg'], None, msg['createdAt'])
            message_list.append(m)

    mydb.close_db()
    return json.dumps(message_list, default=methodcaller("json"))
def delete_domain(pid, did):
    mydb.open()
    d_pattern = mydb.query_db('SELECT * FROM pattern WHERE did = ? and isDomain = 1', [did], one = True)
    mydb.delete_db('delete from edge where _from = ? or _to = ?',[d_pattern['pid'], d_pattern['pid']])
    mydb.delete_db('delete from domain where did=?', [did])
    mydb.delete_db('delete from pattern where pid=?', [d_pattern['pid']])
    mydb.delete_db('delete from node where pid=?', [d_pattern['pid']])
    mydb.delete_db('delete from pattern where pid=?', [pid])
    mydb.delete_db('delete from node where pid=?', [pid])
    mydb.close_db()
    return True
Esempio n. 24
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def return_json():
    nodes = []
    mydb.open()
    nodes_results = mydb.query_db('SELECT * FROM node ')
    # print "the nodes has %s node" % len(nodes_results)
    for n in nodes_results:
        tmp_node = Node(n['nid'], n['pid'], n['node_index'], n['active'], n['x'], n['y'])
        nodes.append(tmp_node)
    mydb.close_db()
    # print json.dumps(nodes, default = methodcaller("json"))
    # print json.dumps(get_nodes_edges(nodes)+return_p_edges(), default = methodcaller("json"))
    return json.dumps(return_ps(nodes), default = methodcaller("json"))
Esempio n. 25
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def verifyQues(index, username, answer):
    mydb.open()
    query = 'select as_%d from account WHERE username = ? '%index
    print query

    result = mydb.query_db(query, [username], one = True)

    mydb.close_db()
    name = 'as_%d'%index
    if result:
        return result[name] == answer
    else:
        return False
Esempio n. 26
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def verify(username, password):
    mydb.open()
    result = mydb.query_db('select * from account WHERE username = ? and pwd = ?', [username, password], one=True)
    mydb.close_db()
    if result:
        if not result['sq_1'] == None:
            print result['sq_1']
            questions = question(result['sq_1'],result['as_1'],result['sq_2'],result['as_2'],result['sq_3'],result['as_3'])
        else:
            questions=None
        return User(result['username'], result['type'], result['status'], questions)
    else:
        return None
Esempio n. 27
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def find_path_nidList(start, end):
    pidList=get_shortest_path(generate_graph(),start,end )
    # del pidList[0]
    # del pidList[len(pidList)-1]
    nidList=[]
    mydb.open()
    for pid in pidList:
        query='select nid from node WHERE pid=? AND node_index=1'
        result = mydb.query_db(query,str(pid), one = True)
        if not result==None:
            nidList.append(result['nid'])
    mydb.close_db()
    return nidList
def add_domain(ds):
    mydb.open()
    did = mydb.insert_db('INSERT INTO domain (creator) VALUES (?)',['spikewang'])
    print did
    d_pid = mydb.insert_db('INSERT INTO pattern (did, isDomain) VALUES (?,1)', [did])
    d_nid = mydb.insert_db('INSERT INTO node (pid, node_index, active) VALUES (?,1,1)', [d_pid])
    pid = mydb.insert_db('INSERT INTO pattern (did, isDomain) VALUES (?,0)', [did])
    nid = mydb.insert_db('INSERT INTO node (pid, node_index, active) VALUES (?,1,1)', [pid])
    for d in ds:
        d_pattern = mydb.query_db('SELECT * FROM pattern WHERE did = ? and isDomain = 1', [d], one = True)
        mydb.insert_db('INSERT INTO  edge(_from, _to) VALUES (?,?)', [d_pid, d_pattern['pid']])
    mydb.insert_db('INSERT INTO  edge(_from, _to) VALUES (?,?)', [d_pid, pid])
    mydb.close_db()
    return (did, pid, nid, d_nid)
Esempio n. 29
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def randomly_inactive_node(seed):
    num=random.randint(0,100)
    if(num<seed):
        mydb.open()
    # active =1 means it is active
        result = mydb.query_db('select * from node WHERE active=1', one=False)
        mydb.close_db()
        nidList=[]
        if result:
            for nid in result:
                nidList.append(nid['nid'])
            inactive_nid=nidList[random.randint(0, len(nidList)-1)]
        # set not whose nid is inactive_nid to inactive status, pass nid and inactive(0)
            change_node_status(inactive_nid,0)
        # return a random nid as inactive node
            return find_all_inactiveNode()
Esempio n. 30
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def verifyQues(index, username, answer):
    mydb.open()
    query = 'select as_%d from account WHERE username = ? '%index
    print query

    result = mydb.query_db(query, [username], one = True)

    mydb.close_db()
    name = 'as_%d'%index
    if result:
        return result[name] == answer
    else:
        return False
#addAccount(['spike1390','2cs744',0,1])

#print verifyQues(3,'spikewang','asdfasdfs')
Esempio n. 31
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def createAccount(list):
    mydb.open()
    if len(list[4])==0:
        return ["First name can't be null", 0]
    if len(list[5])==0:
        return ["Last name can't be null",1]
    result = _valid_login_format(list[0],list[1])
    # if error happend return error message
    if not result == None :
        return result
    if not check_username(list[0]):
        return ["Username has already existed",2]
    mydb.insert_db("""insert into account(username,pwd,type,status,fname,lname)
                              values(?,?,?,?,?,?)""", [list[0], list[1], list[2], list[3], list[4], list[5]])
    mydb.close_db()
    return None
Esempio n. 32
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def compare_user_interests_and_courses_impl(usr1, usr2):
    c: sqlite3.Connection = mydb.open_db()

    ret = []

    # get list of user ids
    cur = c.cursor()

    user_courses1 = fetch_user_courses(cur, usr1)
    course_tags1 = fetch_course_tags(cur, user_courses1)
    interest_tags1 = fetch_interest_tags(cur, usr1)
    user_courses2 = fetch_user_courses(cur, usr2)
    course_tags2 = fetch_course_tags(cur, user_courses2)
    interest_tags2 = fetch_interest_tags(cur, usr2)

    # How common are their interests?
    common_tags = {}
    # Ugly order squared :-(.  Converting these to numeric interest keys would be faster.
    # Better yet convert to numerics then use numpy or TensorFlow to correlate in GPU if needed.
    for user_interest1 in interest_tags1:
        for user_interest2 in interest_tags2:
            if user_interest1 == user_interest2:
                common_tags[user_interest1] = user_interest1
    # So the count could be an absolute metric of commonality. Or as a ratio of total interests vs. common.

    ret.append({
        'user_handle1': usr1,
        'user_handle2': usr2,
        'user_score': len(common_tags),
        'common_tags': [*common_tags]
    })

    mydb.close_db(c)

    ret = {"data": ret}
    return ret
Esempio n. 33
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    common_tags = {}
    # Ugly order squared :-(.  Converting these to numeric interest keys would be faster.
    # Better yet convert to numerics then use numpy or TensorFlow to correlate in GPU if needed.
    for user_interest1 in interest_tags1:
        for user_interest2 in interest_tags2:
            if user_interest1 == user_interest2:
                common_tags[user_interest1] = user_interest1
    # So the count could be an absolute metric of commonality. Or as a ratio of total interests vs. common.

    ret.append({
        'user_handle1': usr1,
        'user_handle2': usr2,
        'user_score': len(common_tags),
        'common_tags': [*common_tags]
    })

    mydb.close_db(c)

    ret = {"data": ret}
    return ret


if __name__ == "__main__":
    # Get database set up if not already set up.
    conn: sqlite3.Connection = mydb.init_mydb()
    mydb.load_csvs_to_db(conn)
    mydb.close_db(conn)
    conn = None

    app.run(debug=True, use_reloader=False)