# Structjour -- a daily trade review helper
# Copyright (C) 2019 Zero Substance Trading
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software
# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
'''
Local utility functions shared by some stock modules and test code.

@author: Mike Petersen

@creation_date: 2019-01-17
'''

from collections import OrderedDict
import datetime as dt
import math
import os
import random
import sqlite3
import sys

import numpy as np
import pandas as pd
from PyQt5.QtCore import QSettings, QUrl, QDate, QDateTime, Qt
from PyQt5.QtWidgets import QMessageBox
from PyQt5.QtGui import QIcon



# pylint: disable = C0103


def isNumeric(l):
    '''
    Not to be confused with str.isnumeric. Takes an arg or a list and tests if all members are
    numeric types and not NAN.
    '''
    ll = list()
    if not isinstance(l, list):
        ll.append(l)
    else:
        ll = l
    for t in ll:
        if t is None or not isinstance(t, (int, float, np.integer)) or math.isnan(t):
            return False
    return True

def qtime2pd(qdt):
    '''Return a pandas Timestamp from a QDateTime'''
    if isinstance(qdt, QDateTime):
        d = pd.Timestamp(qdt.date().year(),
                         qdt.date().month(),
                         qdt.date().day(),
                         qdt.time().hour(),
                         qdt.time().minute(),
                         qdt.time().second())
    elif isinstance(qdt, QDate):
        d = pd.Timestamp(qdt.year(),
                         qdt.month(),
                         qdt.day())
    else:
        return qdt
    return d

def pd2qtime(pdt, qdate=False):
    '''
    Return a QDateTime or a QDate from a time object of Timestamp
    :qdate: Return QDateTime if False (by default) and QDate if True
    '''
    if not qdate:
        if isinstance(pdt, (QDate, QDateTime)):
            return QDateTime(pdt)
        pdt = pd.Timestamp(pdt)
        return QDateTime(pdt.year, pdt.month, pdt.day, pdt. hour, pdt.minute, pdt.second)
    if isinstance(pdt, (QDate, QDateTime)):
        return QDate(pdt)
    pdt = pd.Timestamp(pdt)
    return QDate(pdt.year, pdt.month, pdt.day)
    

def getMAKeys():
    cc1 = ['chart1ma1', 'chart1ma2', 'chart1ma3', 'chart1ma4', 'chart1vwap', 'chart1ma1spin',
          'chart1ma2spin', 'chart1ma3spin', 'chart1ma4spin', 'chart1ma1color', 'chart1ma2color',
          'chart1ma3color', 'chart1ma4color', 'chart1vwapcolor']
    cc2 = ['chart2ma1', 'chart2ma2', 'chart2ma3', 'chart2ma4', 'chart2vwap', 'chart2ma1spin',
          'chart2ma2spin', 'chart2ma3spin', 'chart2ma4spin', 'chart2ma1color', 'chart2ma2color',
          'chart2ma3color', 'chart2ma4color', 'chart2vwapcolor']
    cc3  =['chart3ma1', 'chart3ma2', 'chart3ma3', 'chart3ma4', 'chart3vwap', 'chart3ma1spin',
          'chart3ma2spin', 'chart3ma3spin', 'chart3ma4spin', 'chart3ma1color', 'chart3ma2color',
          'chart3ma3color', 'chart3ma4color', 'chart3vwapcolor']
    return cc1, cc2, cc3

def getMASettings():
    chartSet = QSettings('zero_substance/chart', 'structjour')
    mas = chartSet.value('getmas', list)
    maDict = OrderedDict()
    for ma in mas[0]:
        maDict[ma[1]] = [ma[0], ma[2]]
    vwap = []
    if mas[1]:
        vwap.append(['vwap', mas[1][1]])

    return maDict, vwap

def vwap(df, bd=None):
    '''
    I believe the standard version of vwap begins at open and does not include previous MA stuff.
    I retrieved the algo from an SO post. Thankyou for that

    '''
    if not bd:
        # If no day is given, use the end day in df
        bd = df.index[-1]
        bd = pd.Timestamp(bd.year, bd.month, bd.day)
    begin = pd.Timestamp(bd.year, bd.month, bd.day, 9, 30, 0)

    dfv = df.copy(deep=True)
    if begin > df.index[0]:
        dfv = dfv.loc[dfv.index >= begin]

    dfv['Cum_Vol'] = dfv['volume'].cumsum()
    dfv['Cum_Vol_Price'] = (dfv['volume'] * (dfv['high'] + dfv['low'] + dfv['close'] ) /3).cumsum()
    dfv['VWAP'] = dfv['Cum_Vol_Price'] / dfv['Cum_Vol']
    return dfv['VWAP']

def movingAverage(values, df, beginDay=None):
    '''
    Creates a dictionary of moving averages based settings values. All window values in 
    chartSettings will be processed. Returns a dict of MA: SMA for windows of 20 or less
    and EMA for windows greater than 20, and it always process and returns VWAP.
    :values:
    :return: A tuple (maDict, vwap). Keys for maDict are the window val
    '''
    mas = getMASettings()
    windows = list()
    windows = list(mas[0].keys())


    maDict = OrderedDict()

    for ma in windows:
        if ma > 20:

            weights = np.repeat(1.0, ma)/ma
            smas = np.convolve(values, weights, 'valid')
            maDict[ma] = smas
            maDict[ma] = pd.DataFrame(maDict[ma])
            try:
                maDict[ma].index = df.index[ma-1:]
            except ValueError:
                del maDict[ma]
        else:
            dataframe = pd.DataFrame(values)
            dfema = df['close'].ewm(span=ma, adjust=False, min_periods=ma, ignore_na=True).mean()
            maDict[ma] = dfema
            maDict[ma].index = df.index
    if mas[1]:
        maDict['vwap'] = vwap(df, beginDay)


    return maDict

def makeupEntries(df, minutes):
    start = df.index[0]
    end = df.index[-1]
    start = pd.Timestamp(start)
    end = pd.Timestamp(end)
    entries = []
    for i in range(random.randint(0, 5)):
        # Make up an entry time
        delta = end - start
        sec = delta.total_seconds()
        earliest = int(sec//10)
        latest = int(sec-earliest)
        secs = random.randint(earliest, latest)
        entry = start + pd.Timedelta(seconds=secs)

        # Figure the candle index for our made up entry
        diff = entry - start
        candleindex = int(diff.total_seconds()/60//minutes)

        #Get the time index of the candle
        # tix = df.index[candleindex]

        # Set a random buy or sell
        side = 'B' if random.random() > .5 else 'S'

        # Set a random price within the chosen candle
        high = df.iloc[candleindex].high
        low = df.iloc[candleindex].low
        price = (random.random() * (high - low)) + low
        
        # [price, candle, side, entry]
        entries.append([price, candleindex, side, entry])

    return entries

def getLastWorkDay(d=None):
    '''
    Retrieve the last biz day from today or from d if the arg is given. Holidays are ignored
    :params d: A datetime object.
    :return: A datetime object of the last biz day.
    '''
    now = dt.datetime.today() if not d else d
    deltDays = 0
    if now.weekday() > 4:
        # deltDays = now.weekday() - 4
        # Just todauy TODO
        # if now.weekday() == 5:
        #     bizday = bizday -dt.timedelta(days=1)
        # elif now.weekday() == 6:
        #     bizday = bizday -dt.timedelta(days=2)

        deltDays = now.weekday() - 4
    bizday = now - dt.timedelta(deltDays)
    return bizday

def getPrevTuesWed(td):
    '''
    Utility method to get a probable market open day prior to td. The least likely
    closed days are Tuesday and Wednesday. This will occassionally return  a closed
    day but wtf.
    :params td: A Datetime object
    '''
    deltdays = 7
    if td.weekday() == 0:
        deltdays = 5
    elif td.weekday() < 3:
        deltdays = 0
    elif td.weekday() < 5:
        deltdays = 2
    else:
        deltdays = 4
    before = td - dt.timedelta(deltdays)
    return before

class ManageKeys:
    def __init__(self, create=False, db=None):
        self.settings = QSettings('zero_substance', 'structjour') 
        self.apiset = QSettings('zero_substance/stockapi', 'structjour')
        self.db = db
        if not self.db:
            self.setDB()
        
        if self.db:
            self.createTables()


    def setDB(self, db=None):
        '''
        Set the location of the sqlite db file. Store in main Settings
        '''
        if db:
            self.db = db
        else:
            self.db = self.settings.value('structjourDb')
        msg = None
        if not os.path.exists(self.db):
            title = 'Warning'
            msg = ('<h3>Warning: Trade Db location does not exist.</h3>'
                    '<p>Please set a valid location when calling setDB or you may select or '
                    'create a new location by selecting file->filesettings</p>')

            msgbx = QMessageBox(QMessageBox.Warning, title, msg, QMessageBox.Ok)
            msgbx.setWindowIcon(QIcon("structjour/images/ZSLogo.png"))
            msgbx.exec()

            return

        if not os.path.exists(self.db):
            msg = 'No db listed-- do we recreate the default and add a setting?- or maybe pop and get the db address'
            # self.createTables()
            # raise ValueError(msg)
    
    def createTables(self):
        '''
        Creates the api_keys if it doesnt exist then adds a row for each api that requires a key
        if they dont exist
        '''
        conn = sqlite3.connect(self.db)
        cur = conn.cursor()

        cur.execute('''
            CREATE TABLE if not exists api_keys (
            id	INTEGER PRIMARY KEY AUTOINCREMENT,
            api	TEXT NOT NULL UNIQUE,
            key	TEXT);''')
        conn.commit()

        cur.execute('''
            SELECT api from api_keys WHERE api = ?;''', ("bc",))

        cursor = cur.fetchone()
        if not cursor:
            cur.execute('''
                INSERT INTO api_keys(api)VALUES(?);''', ("bc",))

        cur.execute('''
            SELECT api from api_keys WHERE api = ?;''', ("av",))

        cursor = cur.fetchone()
        if not cursor:
            cur.execute('''
                INSERT INTO api_keys(api)VALUES(?);''', ("av",))
        conn.commit()

    def updateKey(self, api, key):
        conn = sqlite3.connect(self.db)
        cur = conn.cursor()

        cur.execute('''UPDATE api_keys
            SET key = ?
            WHERE api = ?''', (key, api))
        conn.commit()

    def getKey(self, api):
        if not self.db:
            return
        conn = sqlite3.connect(self.db)
        cur = conn.cursor()

        cur.execute('''SELECT key
            FROM api_keys
            WHERE api = ?''', (api, ))
        k = cur.fetchone()
        if k:
            return k[0]
        return k

    def getDB(self):
        '''Get the file location of the sqlite database'''
        db = self.settings.value('tradeDb')
        if not db:
            print('WARNING: Trying to retrieve db location, the database file location is not set.')
        return db


class IbSettings:
    def __init__(self):
        self.apiset = QSettings('zero_substance/stockapi', 'structjour')
        p = self.apiset.value('APIPref')
        if p:
            p = p.replace(' ', '')
            self.preferences = p.split(',')
        else:
            self.preferences = ['ib', 'bc', 'av', 'iex']
        self.setIbStuff()


    def setIbStuff(self):
        pref = self.preferences
        self.ibPort = None
        self.ibId = None
        if 'ib' in pref:
            ibreal = self.apiset.value('ibRealCb', False, bool)
            ibPaper = self.apiset.value('ibPaperCb', False, bool)
            ibpref = self.apiset.value('ibPref')
            if ibreal:
                self.ibPort = self.apiset.value('ibRealPort', 7496, int)
                self.ibId = self.apiset.value('ibRealId', 7878, int)
            elif ibPaper:
                self.ibPort = self.apiset.value('ibPaperPort', 4001, int)
                self.ibId = self.apiset.value('ibPaperId', 7979, int)

    def getIbSettings(self):
        #TODO abstrast host like port and id-- set it in the stockapi dialog
        if not self.ibPort or not self.ibId:
            return None
        d = {'port': self.ibPort,
                'id': self.ibId,
                'host': '127.0.0.1'}
        return d


def checkForIbapi():
        '''
        If the ibapi is not installed or available, disable its use.
        '''
        apisettings = QSettings('zero_substance/stockapi', 'structjour')
        try:
            import ibapi
            apisettings.setValue('gotibapi', True)
            return True
            

        except ImportError:
            apisettings.setValue('gotibapi', False)
            return False
        



def notmain():
    '''Run local code. using a db path unique to this machine'''
    from PyQt5.QtWidgets import QApplication
    app = QApplication(sys.argv)
    mk = ManageKeys(create=True, db='C:\\python\\E\\structjour\\test\\testdb.sqlite')
    mk.setDB('notapath')
    # mk.updateKey('bc', '''That'll do pig''')
    # mk.updateKey('av', '''That'll do.''')
    # print(mk.getKey('bc'))
    # print(mk.getKey('av'))
    # print(getMASettings())
    # movingAverage(None, None, None)
    

def localstuff():
    settings = QSettings('zero_substance', 'structjour') 
    apiset = QSettings('zero_substance/stockapi', 'structjour')
    setkeys = settings.allKeys()
    apikeys = apiset.allKeys()
    setval=list()
    apival=list()
    for k in setkeys:
        setval.append(settings.value(k))
    for k in apikeys:
        apival.append(apiset.value(k))


if __name__ == '__main__':
    notmain()
    # localstuff()
