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// The MIT License (MIT)
// Copyright (c) 2019 Ha Thach for Adafruit Industries

#include "SdFat.h"
#include "Adafruit_SPIFlash.h"

// Uncomment to run example with custom SPI and SS e.g with FRAM breakout
// #define CUSTOM_CS   A5
// #define CUSTOM_SPI  SPI

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import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
# use long/lat at the end of the day to get the timezone, then correct each sleep date's time to UTC.
from timezonefinder import TimezoneFinder 
import datetime
import pytz
# how to get offset from UTC from timezone name
pacific_now = datetime.datetime.now(pytz.timezone('US/Pacific'))
pacific_now.utcoffset().total_seconds()/60/60

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#include <TinyWireM.h>
#include "SoftwareSerial.h"
byte ss=0,   mi=0,   hh=0,   wd=6,    dd=1,   mo=1,   yy=0;

const int Rx = 3; // this is physical pin 2
const int Tx = 4; // this is physical pin 3
SoftwareSerial mySerial(Rx, Tx);


void setup() {

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import os
from datetime import datetime
from logging import INFO, Formatter, StreamHandler, getLogger
from urllib.error import HTTPError

import polars as pl


class Fetcher:
    """

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# This file uses the sleep stress file's timestamp to convert each sleep row to its proper timezone
import pandas as pd
import matplotlib.pyplot as plt
import copy

stressFile = "cooked/Stress_Stress Score.csv"
sleepFile = "cooked/Sleep_sleep.csv"

# Each line in sleep has a few time-associated cols: (dateOfSleep, startTime, endTime)
# These are given in the timezone of the user's device and not in UTC

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import pandas as pd
import os
import re

# We are loading in a data export from Fitbit. 
allExports = "raw/"
curExport = [allExports+x for x in os.listdir(allExports) if os.path.isdir(allExports+x)][0]
curExport = curExport + "/" + [x for x in os.listdir(curExport) if os.path.isdir(curExport+"/"+x)][0]
print(f"Data export we're converting is \n\t{curExport}")

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import backtrader as bt
import pandas as pd
import time

############### Preprocess data
filename = "../data/BTC-USD_15min_2017-4-5.csv"
df = pd.read_csv(filename, header=0, parse_dates=['time'], index_col='time')

############### Create backtrader data feed, set up strategy and broker
# Create Cerebro backtesting instance

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.highlight-popup {
  position: absolute;
  background-color: #0044b3;

  color: white;
  padding: 4px;
  border-radius: 4px;
  z-index: 9999;
}

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// From the blog post andykong.org/blog/icloudconfusion/

function boxTops(){
    HTMLCollection.prototype.toArray = function() { return Array.from(this); }

    // Select all the time badges and parse out their total runtime in seconds
    a = document.getElementsByClassName('video-text-badge').toArray()
    b = a.map((x) => x.innerText)
    c = b.map((y) => y.split(":").map((x) => parseInt(x)))
    d = c.map((x) => x[0]*60 + x[1])

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class SerialLogger {
    public String portname;
    public String filename;
    public Process p;

    SerialLogger(String portname, String filename) {
        this.portname = portname;
        this.filename = sketchPath() + "/data/" + filename + ".csv";
    }