#!/usr/bin/python
import time
import csv
import urllib
import urllib2
from Adafruit_BMP085 import BMP085
from xml.etree import ElementTree as ET
from decimal import *

location = 'COLDROOM'

# set precision for output numeric data
getcontext().prec = 5

# Initialise the BMP085 and use STANDARD mode (default value)
# bmp = BMP085(0x77, debug=True)
# bmp = BMP085(0x77)

# To specify a different operating mode, uncomment one of the following:
# bmp = BMP085(0x77, 0)  # ULTRALOWPOWER Mode
# bmp = BMP085(0x77, 1)  # STANDARD Mode
# bmp = BMP085(0x77, 2)  # HIRES Mode
bmp = BMP085(0x77, 3)  # ULTRAHIRES Mode

temp = bmp.readTemperature()

# Read the current barometric pressure level
pressure = bmp.readPressure()

# To calculate altitude based on an estimated mean sea level pressure
# (1013.25 hPa) call the function as follows, but this won't be very accurate
altitude = bmp.readAltitude()

# To specify a more accurate altitude, enter the correct mean sea level
# pressure level.  For example, if the current pressure level is 1023.50 hPa
# enter 102350 since we include two decimal places in the integer value
# altitude = bmp.readAltitude(102350)

insidetemp = Decimal(temp) * 9 / 5 + 32
print "Inside Temp (sitting): %.2f F" % insidetemp
#print "Pressure:    %.2f hPa" % (pressure / 100.0)
#print "Altitude:    %.2f" % altitude

# get current temp from NOAA for RDU
url = 'http://w1.weather.gov/xml/current_obs/KRDU.xml'
response = urllib2.urlopen(url)
xml = response.read()
# print xml

#wind_degrees = ET.fromstring(xml).find('wind_degrees')
# wind_gust_mph = ET.fromstring(xml).find('wind_gust_mph')
wind_mph = ET.fromstring(xml).find('wind_mph')
temp_c = ET.fromstring(xml).find('temp_c')
outsidetemp = Decimal(temp_c.text) * 9 / 5 + 32

# get time in format 1/17/2014 08:23 PM
curdttm = time.strftime("%m/%d/%Y %I:%M %p")

# output line format:
# current date/time, inside-temp, outside-temp,windspeed

with open('/home/pi/templog.csv','a') as csvfile:
  csvwriter = csv.writer(csvfile,delimiter=',',
                        quotechar='|', quoting=csv.QUOTE_MINIMAL)
  csvwriter.writerow([location,curdttm,insidetemp,outsidetemp,wind_mph.text])