# QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
# Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from AlgorithmImports import *
from CustomDataRegressionAlgorithm import Bitcoin

### <summary>
### Regression algorithm reproducing data type bugs in the Consolidate API. Related to GH 4205.
### </summary>
class ConsolidateRegressionAlgorithm(QCAlgorithm):

    # Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.
    def Initialize(self):
        self.SetStartDate(2013, 10, 8)
        self.SetEndDate(2013, 10, 20)

        SP500 = Symbol.Create(Futures.Indices.SP500EMini, SecurityType.Future, Market.CME)
        self._symbol = _symbol = self.FutureChainProvider.GetFutureContractList(SP500, self.StartDate)[0]
        self.AddFutureContract(_symbol)

        self._consolidationCounts = [0] * 6
        self._smas = [SimpleMovingAverage(10) for x in self._consolidationCounts]
        self._lastSmaUpdates = [datetime.min for x in self._consolidationCounts]
        self._monthlyConsolidatorSma = SimpleMovingAverage(10)
        self._monthlyConsolidationCount = 0
        self._weeklyConsolidatorSma = SimpleMovingAverage(10)
        self._weeklyConsolidationCount = 0
        self._lastWeeklySmaUpdate = datetime.min

        self.Consolidate(_symbol, Calendar.Monthly, lambda bar: self.UpdateMonthlyConsolidator(bar, -1)) # shouldn't consolidate

        self.Consolidate(_symbol, Calendar.Weekly, TickType.Trade, lambda bar: self.UpdateWeeklyConsolidator(bar))

        self.Consolidate(_symbol, Resolution.Daily, lambda bar: self.UpdateTradeBar(bar, 0))

        self.Consolidate(_symbol, Resolution.Daily, TickType.Quote, lambda bar: self.UpdateQuoteBar(bar, 1))

        self.Consolidate(_symbol, timedelta(1), lambda bar: self.UpdateTradeBar(bar, 2))

        self.Consolidate(_symbol, timedelta(1), TickType.Quote, lambda bar: self.UpdateQuoteBar(bar, 3))

        # sending None tick type
        self.Consolidate(_symbol, timedelta(1), None, lambda bar: self.UpdateTradeBar(bar, 4))

        self.Consolidate(_symbol, Resolution.Daily, None, lambda bar: self.UpdateTradeBar(bar, 5))

        # custom data
        self._customDataConsolidator = 0
        customSymbol = self.AddData(Bitcoin, "BTC", Resolution.Minute).Symbol
        self.Consolidate(customSymbol, timedelta(1), lambda bar: self.IncrementCounter(1))

        self._customDataConsolidator2 = 0
        self.Consolidate(customSymbol, Resolution.Daily, lambda bar: self.IncrementCounter(2))

    def IncrementCounter(self, id):
        if id == 1:
            self._customDataConsolidator += 1
        if id == 2:
            self._customDataConsolidator2 += 1

    def UpdateTradeBar(self, bar, position):
        self._smas[position].Update(bar.EndTime, bar.Volume)
        self._lastSmaUpdates[position] = bar.EndTime
        self._consolidationCounts[position] += 1

    def UpdateQuoteBar(self, bar, position):
        self._smas[position].Update(bar.EndTime, bar.Ask.High)
        self._lastSmaUpdates[position] = bar.EndTime
        self._consolidationCounts[position] += 1

    def UpdateMonthlyConsolidator(self, bar):
        self._monthlyConsolidatorSma.Update(bar.EndTime, bar.Volume)
        self._monthlyConsolidationCount += 1

    def UpdateWeeklyConsolidator(self, bar):
        self._weeklyConsolidatorSma.Update(bar.EndTime, bar.Volume)
        self._lastWeeklySmaUpdate = bar.EndTime
        self._weeklyConsolidationCount += 1

    def  OnEndOfAlgorithm(self):
        expectedConsolidations = 9
        expectedWeeklyConsolidations = 1
        if (any(i != expectedConsolidations for i in self._consolidationCounts) or
            self._weeklyConsolidationCount != expectedWeeklyConsolidations or
            self._customDataConsolidator == 0 or
            self._customDataConsolidator2 == 0):
            raise ValueError("Unexpected consolidation count")

        for i, sma in enumerate(self._smas):
            if sma.Samples != expectedConsolidations:
                raise Exception(f"Expected {expectedConsolidations} samples in each SMA but found {sma.Samples} in SMA in index {i}")

            lastUpdate = self._lastSmaUpdates[i]
            if sma.Current.Time != lastUpdate:
                raise Exception(f"Expected SMA in index {i} to have been last updated at {lastUpdate} but was {sma.Current.Time}")

        if self._monthlyConsolidationCount != 0 or self._monthlyConsolidatorSma.Samples != 0:
            raise Exception("Expected monthly consolidator to not have consolidated any data")

        if self._weeklyConsolidatorSma.Samples != expectedWeeklyConsolidations:
            raise Exception(f"Expected {expectedWeeklyConsolidations} samples in the weekly consolidator SMA but found {self._weeklyConsolidatorSma.Samples}")

        if self._weeklyConsolidatorSma.Current.Time != self._lastWeeklySmaUpdate:
            raise Exception(f"Expected weekly consolidator SMA to have been last updated at {self._lastWeeklySmaUpdate} but was {self._weeklyConsolidatorSma.Current.Time}")

    # OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
    def OnData(self, data):
        if not self.Portfolio.Invested:
           self.SetHoldings(self._symbol, 0.5)