import random
from timeit import default_timer as timer
from py2neo import Graph
from neo4j.v1 import GraphDatabase, basic_auth
from statistics import mean

import psycopg2

noOfLoops = 3
threshold = 5
sourceId = -1
targetId = -1
A_B_FROM_EDGES = "SELECT * from nodesH a join nodesH b on a.id_prac = b.id_szef where b.id_prac = 9"

MIN_DISTANCE_BETWEEN2 = "WITH RECURSIVE transitive_closure(a, b, distance, path_string) " \
                        "AS( SELECT a, b, 1 AS distance, a || '.' || b || '.' " \
                        "AS path_string FROM edges{size} " \
                        "UNION ALL " \
                        "SELECT tc.a, e.b, tc.distance + 1, tc.path_string || e.b || '.' " \
                        "AS path_string FROM edges{size} AS e " \
                        "JOIN transitive_closure " \
                        "AS tc ON e.a = tc.b " \
                        "WHERE tc.path_string NOT LIKE '%' || e.b || '.%') " \
                        "SELECT a, b, min(distance) AS dist FROM transitive_closure" \
                        " WHERE a = {source} AND b={target} " \
                        "GROUP BY a, b ORDER BY a, dist, b;"

COMMON_FRIENDS_ON_LEVEL = "WITH RECURSIVE transitive_closure(a, b, distance, path_string) " \
                          "AS( SELECT a, b, 1 AS distance, a || '.' || b || '.' " \
                          "AS path_string, b AS direct_connection FROM edges{size} " \
                          "WHERE a = {source} " \
                          "" \
                          "UNION ALL " \
                          "" \
                          "SELECT tc.a, e.b, tc.distance + 1, tc.path_string || e.b || '.' " \
                          "AS path_string, tc.direct_connection FROM edges{size} " \
                          "AS e JOIN transitive_closure AS tc ON e.a = tc.b " \
                          "WHERE tc.path_string NOT LIKE '%' || e.b || '.%' AND tc.distance < {level}) " \
                          "SELECT * FROM transitive_closure WHERE b={target} ORDER BY a,b,distance"



FIND_CHIEF = "WITH RECURSIVE menu_tree(id_prac, url, level, id_szef) " \
             "AS ( SELECT id_prac, '' || id_prac, 0, id_szef " \
             "FROM nodes{size}  WHERE id_szef = 0 " \
             "UNION ALL " \
             "SELECT mn.id_prac, mt.url || '/' || mn.id_prac, mt.level + 1, mt.id_prac " \
             "FROM nodes{size} mn, menu_tree mt " \
             "WHERE mn.id_szef = mt.id_prac)" \
             "" \
             " SELECT * FROM menu_tree ORDER BY level, id_szef;"
FIND_TOO_BIG_SETS = "SELECT a.id_prac, count(*) from nodes{size} a join nodes{size} b on a.id_prac = b.id_szef  " \
                    "GROUP BY (a.id_prac) HAVING count(*) > {level};"


GET_RANDOM_NODE = "SELECT id_prac FROM nodes{size} " \
                  "ORDER BY RANDOM() LIMIT 1"

MATCH_N = "MATCH (n:man)-[r:podwladny*]->(m:man) return n"

NEO_SHORTEST_PATH = "MATCH (user1:User { id:1 }),(user2:User { id:10001 }), " \
                    "p = shortestPath((user1)-[*..15]-(user2)) RETURN p"

NEO_FIND_CHIEF = "match (n) where (n)-[:IS_FRIEND]->(n) return n"

NEO_BIG_TEAMS = "match (x)<-[]-(n) with x, count(n) as big where big > 40 return x,big order by big desc"

NEO_COMMON_FRIENDS = "MATCH (user1:User { id:1 }),(user2:User { id:1001 }), p = (user1)-[*..15]-(user2) " \
                     "UNWIND nodes(p) as common return distinct common"


def main():
    cursor, conn = connectToPgDb()
    driver = connectToNeoDb()

    getRandomNodes(cursor)

    start = "INSERT INTO EXPERIMENTS(id, instancesize, data, source, target) VALUES(nextval('experimentId'), %s, now(), %s, %s)"
    cursor.execute(start, (instance_size, sourceId, targetId))

   # SQLQuery(MIN_DISTANCE_BETWEEN2.format(source = sourceId, target= targetId, size = instance_size), cursor, 'FIND_PATH')
    #SQLQuery(COMMON_FRIENDS_ON_LEVEL, cursor, 'COMMON')
    #SQLQuery(FIND_CHIEF, cursor, 'FIND_CHIEF')
    NeoQuery(MATCH_N, driver, 'FIND_CHIEF', cursor)
    #SQLQuery(FIND_TOO_BIG_SETS, cursor, 'TOO_BIG')
    conn.commit()
    conn.close()


def SQLQuery(query, cursor, title):
    print(title)

    totalTime = 0
    for i in range(noOfLoops):
        print(i + 1, '/', noOfLoops, end=' | ')
        start = timer()

        cursor.execute(query.format(source = sourceId, target= targetId, size = instance_size, level=threshold ))

        records = cursor.fetchall()
        end = timer()
        totalTime += end - start

    print('\nResult : ', len(records), ' rows')

    final_result = totalTime / noOfLoops
    cursor.execute("Select max(id) from experiments")
    maxId = cursor.fetchall()

    insertSql = "INSERT INTO EXPERIMENTINSTANCES(experimentid, exptype, duration, database_model) " \
                "VALUES(%s, %s, %s, 'SQL')"
    cursor.execute(insertSql, (maxId[0][0], title, final_result,))



def NeoQuery(query, driver, title, cursor):
    print(title)

    totalTime = 0
    for i in range(noOfLoops):
        print(i + 1, '/', noOfLoops, end=' | ')
        start = timer()

        records = driver.evaluate(query.format(source = sourceId, target= targetId, size = instance_size, level=threshold ))

        end = timer()
        totalTime += end - start

    print('\nResult : ', len(records), ' rows')

    final_result = totalTime / noOfLoops
    cursor.execute("Select max(id) from experiments")
    maxId = cursor.fetchall()

    insertSql = "INSERT INTO EXPERIMENTINSTANCES(experimentid, exptype, duration, database_model) " \
                "VALUES(%s, %s, %s, 'SQL')"
    cursor.execute(insertSql, (maxId[0][0], title, final_result,))


def connectToPgDb():
    conn_string = "host='localhost' dbname='postgres' user='postgres' password='asdmn11'"
    # print the connection string we will use to connect
    print("Connecting to database")
    # get a connection, if a connect cannot be made an exception will be raised here
    conn = psycopg2.connect(conn_string)
    conn.commit()
    # conn.cursor will return a cursor object, you can use this cursor to perform queries
    cursor = conn.cursor()
    return cursor, conn

def connectToNeoDb():
    driver =  GraphDatabase.driver("bolt://localhost:7687", auth=basic_auth("neo4j", "guwno"))
    return driver;

def askForInstanceSize():
    selected_instance = input("Select size of instance:\n"
                              "x 6\n" \
                              "a 50\n" \
                              "b 10000\n" \
                              "c 100000\n" \
                              "d 500000\n\n" \
                              "Selected : ")
    choices = {'a': 50, 'b': 10000, 'c': 100000, 'd': 50000, 'x': 6}
    return choices.get(selected_instance, 'default')

def getRandomNodes(cursor):
    global sourceId, targetId

    sourceId = getRandomNode(cursor)

    targetId =getRandomNode(cursor)
    while sourceId == targetId:
        targetId = getRandomNode(cursor)
    print('Your random selected nodes are : sourceId ', sourceId, ' targetId ', targetId)



def getRandomNode(cursor):
    cursor.execute(GET_RANDOM_NODE.format(size = instance_size))
    tempResult = cursor.fetchall()
    result = tempResult[0][0]
    return result


if __name__ == "__main__":
    instance_size = askForInstanceSize()

    main()