# Extension for the Belchertown skin. # This extension builds search list extensions as well # as a crude "cron" to download necessary files. # # Pat O'Brien, August 19, 2018 import datetime import time import calendar import json import os import syslog import sys import locale import weewx import weecfg from weewx.cheetahgenerator import SearchList from weewx.tags import TimespanBinder from weeutil.weeutil import TimeSpan # This helps with locale. https://stackoverflow.com/a/40346898/1177153 reload(sys) sys.setdefaultencoding("utf-8") locale.setlocale(locale.LC_ALL, "") def logmsg(level, msg): syslog.syslog(level, 'Belchertown Extension: %s' % msg) def logdbg(msg): logmsg(syslog.LOG_DEBUG, msg) def loginf(msg): logmsg(syslog.LOG_INFO, msg) def logerr(msg): logmsg(syslog.LOG_ERR, msg) # Print version in syslog for easier troubleshooting VERSION = "0.9.1rc1" loginf("version %s" % VERSION) class getData(SearchList): def __init__(self, generator): SearchList.__init__(self, generator) def get_extension_list(self, timespan, db_lookup): """ Build the data needed for the Belchertown skin """ # Look for the debug flag which can be used to show more logging weewx.debug = int(self.generator.config_dict.get('debug', 0)) # Check if the pre-requisites have been completed. Either station_url or belchertown_root_url need to be set. if self.generator.skin_dict['Extras']['belchertown_root_url'] != "": belchertown_root_url = self.generator.skin_dict['Extras']['belchertown_root_url'] elif self.generator.config_dict["Station"].has_key("station_url"): belchertown_root_url = self.generator.config_dict["Station"]["station_url"] else: belchertown_root_url = "" # Find the right HTML ROOT if 'HTML_ROOT' in self.generator.skin_dict: local_root = os.path.join(self.generator.config_dict['WEEWX_ROOT'], self.generator.skin_dict['HTML_ROOT']) else: local_root = os.path.join(self.generator.config_dict['WEEWX_ROOT'], self.generator.config_dict['StdReport']['HTML_ROOT']) # Find the SKIN ROOT local_skin_root = os.path.join( self.generator.config_dict['WEEWX_ROOT'], self.generator.skin_dict['SKIN_ROOT'], self.generator.skin_dict['skin'] ) # Setup UTC offset hours for moment.js in index.html moment_js_stop_struct = time.localtime( time.time() ) moment_js_utc_offset = (calendar.timegm(moment_js_stop_struct) - calendar.timegm(time.gmtime(time.mktime(moment_js_stop_struct))))/60 # Highcharts UTC offset is the opposite of normal. Positive values are west, negative values are east of UTC. https://api.highcharts.com/highcharts/time.timezoneOffset # Multiplying by -1 will reverse the number sign and keep 0 (not -0). https://stackoverflow.com/a/14053631/1177153 highcharts_timezoneoffset = moment_js_utc_offset * -1 # Get the system locale for use with moment.js system_locale = locale.getdefaultlocale()[0] # Set a default radar URL using station's lat/lon. Moved from skin.conf so we can get station lat/lon from weewx.conf. A lot of stations out there with Belchertown 0.1 through 0.7 are showing the visitor's location and not the proper station location because nobody edited the radar_html which did not have lat/lon set previously. if self.generator.skin_dict['Extras']['radar_html'] == "": lat = self.generator.config_dict['Station']['latitude'] lon = self.generator.config_dict['Station']['longitude'] radar_html = ''.format( lat, lon, lat, lon ) else: radar_html = self.generator.skin_dict['Extras']['radar_html'] # Get the archive interval for the highcharts gapsize highcharts_archive_interval = int(self.generator.config_dict["StdArchive"]["archive_interval"]) * 1000 """ Build the all time stats. """ wx_manager = db_lookup() # Find the beginning of the current year now = datetime.datetime.now() date_time = '01/01/%s 00:00:00' % now.year pattern = '%m/%d/%Y %H:%M:%S' year_start_epoch = int(time.mktime(time.strptime(date_time, pattern))) #_start_ts = startOfInterval(year_start_epoch ,86400) # This is the current calendar year # Setup the converter # Get the target unit nickname (something like 'US' or 'METRIC'): target_unit_nickname = self.generator.config_dict['StdConvert']['target_unit'] # Get the target unit: weewx.US, weewx.METRIC, weewx.METRICWX target_unit = weewx.units.unit_constants[target_unit_nickname.upper()] # Bind to the appropriate standard converter units converter = weewx.units.StdUnitConverters[target_unit] # Temperature Range Lookups # 1. The database query finds the result based off the total column. # 2. We need to convert the min, max to the site's requested unit. # 3. We need to re-calculate the min/max range because the unit may have changed. year_outTemp_max_range_query = wx_manager.getSql( 'SELECT dateTime, ROUND( (max - min), 1 ) as total, ROUND( min, 1 ) as min, ROUND( max, 1 ) as max FROM archive_day_outTemp WHERE dateTime >= %s AND min IS NOT NULL AND max IS NOT NULL ORDER BY total DESC LIMIT 1;' % year_start_epoch ) year_outTemp_min_range_query = wx_manager.getSql( 'SELECT dateTime, ROUND( (max - min), 1 ) as total, ROUND( min, 1 ) as min, ROUND( max, 1 ) as max FROM archive_day_outTemp WHERE dateTime >= %s AND min IS NOT NULL AND max IS NOT NULL ORDER BY total ASC LIMIT 1;' % year_start_epoch ) at_outTemp_max_range_query = wx_manager.getSql( 'SELECT dateTime, ROUND( (max - min), 1 ) as total, ROUND( min, 1 ) as min, ROUND( max, 1 ) as max FROM archive_day_outTemp WHERE min IS NOT NULL AND max IS NOT NULL ORDER BY total DESC LIMIT 1;' ) at_outTemp_min_range_query = wx_manager.getSql( 'SELECT dateTime, ROUND( (max - min), 1 ) as total, ROUND( min, 1 ) as min, ROUND( max, 1 ) as max FROM archive_day_outTemp WHERE min IS NOT NULL AND max IS NOT NULL ORDER BY total ASC LIMIT 1;' ) # Find the group_name for outTemp outTemp_unit = converter.group_unit_dict["group_temperature"] # Find the number of decimals to round to outTemp_round = self.generator.skin_dict['Units']['StringFormats'].get(outTemp_unit, "%.1f") # Largest Daily Temperature Range Conversions # Max temperature for this day if year_outTemp_max_range_query is not None: year_outTemp_max_range_max_tuple = (year_outTemp_max_range_query[3], outTemp_unit, 'group_temperature') year_outTemp_max_range_max = outTemp_round % self.generator.converter.convert(year_outTemp_max_range_max_tuple)[0] # Min temperature for this day year_outTemp_max_range_min_tuple = (year_outTemp_max_range_query[2], outTemp_unit, 'group_temperature') year_outTemp_max_range_min = outTemp_round % self.generator.converter.convert(year_outTemp_max_range_min_tuple)[0] # Largest Daily Temperature Range total year_outTemp_max_range_total = outTemp_round % ( float(year_outTemp_max_range_max) - float(year_outTemp_max_range_min) ) # Replace the SQL Query output with the converted values year_outTemp_range_max = [ year_outTemp_max_range_query[0], locale.format("%g", float(year_outTemp_max_range_total)), locale.format("%g", float(year_outTemp_max_range_min)), locale.format("%g", float(year_outTemp_max_range_max)) ] else: year_outTemp_range_max = [ calendar.timegm( time.gmtime() ), 0.0, 0.0, 0.0 ] # Smallest Daily Temperature Range Conversions # Max temperature for this day if year_outTemp_min_range_query is not None: year_outTemp_min_range_max_tuple = (year_outTemp_min_range_query[3], outTemp_unit, 'group_temperature') year_outTemp_min_range_max = outTemp_round % self.generator.converter.convert(year_outTemp_min_range_max_tuple)[0] # Min temperature for this day year_outTemp_min_range_min_tuple = (year_outTemp_min_range_query[2], outTemp_unit, 'group_temperature') year_outTemp_min_range_min = outTemp_round % self.generator.converter.convert(year_outTemp_min_range_min_tuple)[0] # Smallest Daily Temperature Range total year_outTemp_min_range_total = outTemp_round % ( float(year_outTemp_min_range_max) - float(year_outTemp_min_range_min) ) # Replace the SQL Query output with the converted values year_outTemp_range_min = [ year_outTemp_min_range_query[0], locale.format("%g", float(year_outTemp_min_range_total)), locale.format("%g", float(year_outTemp_min_range_min)), locale.format("%g", float(year_outTemp_min_range_max)) ] else: year_outTemp_range_min = [ calendar.timegm( time.gmtime() ), 0.0, 0.0, 0.0 ] # All Time - Largest Daily Temperature Range Conversions # Max temperature at_outTemp_max_range_max_tuple = (at_outTemp_max_range_query[3], outTemp_unit, 'group_temperature') at_outTemp_max_range_max = outTemp_round % self.generator.converter.convert(at_outTemp_max_range_max_tuple)[0] # Min temperature for this day at_outTemp_max_range_min_tuple = (at_outTemp_max_range_query[2], outTemp_unit, 'group_temperature') at_outTemp_max_range_min = outTemp_round % self.generator.converter.convert(at_outTemp_max_range_min_tuple)[0] # Largest Daily Temperature Range total at_outTemp_max_range_total = outTemp_round % ( float(at_outTemp_max_range_max) - float(at_outTemp_max_range_min) ) # Replace the SQL Query output with the converted values at_outTemp_range_max = [ at_outTemp_max_range_query[0], locale.format("%g", float(at_outTemp_max_range_total)), locale.format("%g", float(at_outTemp_max_range_min)), locale.format("%g", float(at_outTemp_max_range_max)) ] # All Time - Smallest Daily Temperature Range Conversions # Max temperature for this day at_outTemp_min_range_max_tuple = (at_outTemp_min_range_query[3], outTemp_unit, 'group_temperature') at_outTemp_min_range_max = outTemp_round % self.generator.converter.convert(at_outTemp_min_range_max_tuple)[0] # Min temperature for this day at_outTemp_min_range_min_tuple = (at_outTemp_min_range_query[2], outTemp_unit, 'group_temperature') at_outTemp_min_range_min = outTemp_round % self.generator.converter.convert(at_outTemp_min_range_min_tuple)[0] # Smallest Daily Temperature Range total at_outTemp_min_range_total = outTemp_round % ( float(at_outTemp_min_range_max) - float(at_outTemp_min_range_min) ) # Replace the SQL Query output with the converted values at_outTemp_range_min = [ at_outTemp_min_range_query[0], locale.format("%g", float(at_outTemp_min_range_total)), locale.format("%g", float(at_outTemp_min_range_min)), locale.format("%g", float(at_outTemp_min_range_max)) ] # Rain lookups # Find the group_name for rain rain_unit = converter.group_unit_dict["group_rain"] # Find the number of decimals to round to rain_round = self.generator.skin_dict['Units']['StringFormats'].get(rain_unit, "%.2f") # Rainiest Day rainiest_day_query = wx_manager.getSql( 'SELECT dateTime, sum FROM archive_day_rain WHERE dateTime >= %s ORDER BY sum DESC LIMIT 1;' % year_start_epoch ) if rainiest_day_query is not None: rainiest_day_tuple = (rainiest_day_query[1], rain_unit, 'group_rain') rainiest_day_converted = rain_round % self.generator.converter.convert(rainiest_day_tuple)[0] rainiest_day = [ rainiest_day_query[0], rainiest_day_converted ] else: rainiest_day = [ calendar.timegm( time.gmtime() ), 0.00 ] # All Time Rainiest Day at_rainiest_day_query = wx_manager.getSql( 'SELECT dateTime, sum FROM archive_day_rain ORDER BY sum DESC LIMIT 1' ) at_rainiest_day_tuple = (at_rainiest_day_query[1], rain_unit, 'group_rain') at_rainiest_day_converted = rain_round % self.generator.converter.convert(at_rainiest_day_tuple)[0] at_rainiest_day = [ at_rainiest_day_query[0], at_rainiest_day_converted ] # Find what kind of database we're working with and specify the correctly tailored SQL Query for each type of database dataBinding = self.generator.config_dict['StdArchive']['data_binding'] database = self.generator.config_dict['DataBindings'][dataBinding]['database'] databaseType = self.generator.config_dict['Databases'][database]['database_type'] driver = self.generator.config_dict['DatabaseTypes'][databaseType]['driver'] if driver == "weedb.sqlite": year_rainiest_month_sql = 'SELECT strftime("%%m", datetime(dateTime, "unixepoch")) as month, ROUND( SUM( sum ), 2 ) as total FROM archive_day_rain WHERE strftime("%%Y", datetime(dateTime, "unixepoch")) = "%s" GROUP BY month ORDER BY total DESC LIMIT 1;' % time.strftime( "%Y", time.localtime( time.time() ) ) at_rainiest_month_sql = 'SELECT strftime("%m", datetime(dateTime, "unixepoch")) as month, strftime("%Y", datetime(dateTime, "unixepoch")) as year, ROUND( SUM( sum ), 2 ) as total FROM archive_day_rain GROUP BY month, year ORDER BY total DESC LIMIT 1;' year_rain_data_sql = 'SELECT dateTime, ROUND( sum, 2 ) FROM archive_day_rain WHERE strftime("%%Y", datetime(dateTime, "unixepoch")) = "%s";' % time.strftime( "%Y", time.localtime( time.time() ) ) # The all stats from http://www.weewx.com/docs/customizing.htm doesn't seem to calculate "Total Rainfall for" all time stat correctly. at_rain_highest_year_sql = 'SELECT strftime("%Y", datetime(dateTime, "unixepoch")) as year, ROUND( SUM( sum ), 2 ) as total FROM archive_day_rain GROUP BY year ORDER BY total DESC LIMIT 1;' elif driver == "weedb.mysql": year_rainiest_month_sql = 'SELECT FROM_UNIXTIME( dateTime, "%%m" ) AS month, ROUND( SUM( sum ), 2 ) AS total FROM archive_day_rain WHERE year( FROM_UNIXTIME( dateTime ) ) = "{0}" GROUP BY month ORDER BY total DESC LIMIT 1;'.format( time.strftime( "%Y", time.localtime( time.time() ) ) ) # Why does this one require .format() but the other's don't? at_rainiest_month_sql = 'SELECT FROM_UNIXTIME( dateTime, "%%m" ) AS month, FROM_UNIXTIME( dateTime, "%%Y" ) AS year, ROUND( SUM( sum ), 2 ) AS total FROM archive_day_rain GROUP BY month, year ORDER BY total DESC LIMIT 1;' year_rain_data_sql = 'SELECT dateTime, ROUND( sum, 2 ) FROM archive_day_rain WHERE year( FROM_UNIXTIME( dateTime ) ) = "%s";' % time.strftime( "%Y", time.localtime( time.time() ) ) # The all stats from http://www.weewx.com/docs/customizing.htm doesn't seem to calculate "Total Rainfall for" all time stat correctly. at_rain_highest_year_sql = 'SELECT FROM_UNIXTIME( dateTime, "%%Y" ) AS year, ROUND( SUM( sum ), 2 ) AS total FROM archive_day_rain GROUP BY year ORDER BY total DESC LIMIT 1;' # Rainiest month year_rainiest_month_query = wx_manager.getSql( year_rainiest_month_sql ) if year_rainiest_month_query is not None: year_rainiest_month_tuple = (year_rainiest_month_query[1], rain_unit, 'group_rain') year_rainiest_month_converted = rain_round % self.generator.converter.convert(year_rainiest_month_tuple)[0] year_rainiest_month = [ calendar.month_name[ int( year_rainiest_month_query[0] ) ], locale.format("%g", float(year_rainiest_month_converted)) ] else: year_rainiest_month = [ "N/A", 0.0 ] # All time rainiest month at_rainiest_month_query = wx_manager.getSql( at_rainiest_month_sql ) at_rainiest_month_tuple = (at_rainiest_month_query[2], rain_unit, 'group_rain') at_rainiest_month_converted = rain_round % self.generator.converter.convert(at_rainiest_month_tuple)[0] at_rainiest_month = [ calendar.month_name[ int( at_rainiest_month_query[0] ) ] + ", " + at_rainiest_month_query[1], locale.format("%g", float(at_rainiest_month_converted)) ] # All time rainiest year at_rain_highest_year_query = wx_manager.getSql( at_rain_highest_year_sql ) at_rain_highest_year_tuple = (at_rain_highest_year_query[1], rain_unit, 'group_rain') #at_rain_highest_year_converted = round( self.generator.converter.convert(at_rain_highest_year_tuple)[0], rain_round ) at_rain_highest_year_converted = rain_round % self.generator.converter.convert(at_rain_highest_year_tuple)[0] at_rain_highest_year = [ at_rain_highest_year_query[0], locale.format("%g", float(at_rain_highest_year_converted)) ] # Consecutive days with/without rainfall # dateTime needs to be epoch. Conversion done in the template using #echo year_days_with_rain_total = 0 year_days_without_rain_total = 0 year_days_with_rain_output = {} year_days_without_rain_output = {} year_rain_query = wx_manager.genSql( year_rain_data_sql ) for row in year_rain_query: # Original MySQL way: CASE WHEN sum!=0 THEN @total+1 ELSE 0 END if row[1] != 0: year_days_with_rain_total += 1 else: year_days_with_rain_total = 0 # Original MySQL way: CASE WHEN sum=0 THEN @total+1 ELSE 0 END if row[1] == 0: year_days_without_rain_total += 1 else: year_days_without_rain_total = 0 year_days_with_rain_output[row[0]] = year_days_with_rain_total year_days_without_rain_output[row[0]] = year_days_without_rain_total if year_days_with_rain_output: year_days_with_rain = max( zip( year_days_with_rain_output.values(), year_days_with_rain_output.keys() ) ) else: year_days_with_rain = [ 0.0, calendar.timegm( time.gmtime() ) ] if year_days_without_rain_output: year_days_without_rain = max( zip( year_days_without_rain_output.values(), year_days_without_rain_output.keys() ) ) else: year_days_without_rain = [ 0.0, calendar.timegm( time.gmtime() ) ] at_days_with_rain_total = 0 at_days_without_rain_total = 0 at_days_with_rain_output = {} at_days_without_rain_output = {} at_rain_query = wx_manager.genSql( "SELECT dateTime, ROUND( sum, 2 ) FROM archive_day_rain;" ) for row in at_rain_query: # Original MySQL way: CASE WHEN sum!=0 THEN @total+1 ELSE 0 END if row[1] != 0: at_days_with_rain_total += 1 else: at_days_with_rain_total = 0 # Original MySQL way: CASE WHEN sum=0 THEN @total+1 ELSE 0 END if row[1] == 0: at_days_without_rain_total += 1 else: at_days_without_rain_total = 0 at_days_with_rain_output[row[0]] = at_days_with_rain_total at_days_without_rain_output[row[0]] = at_days_without_rain_total at_days_with_rain = max( zip( at_days_with_rain_output.values(), at_days_with_rain_output.keys() ) ) at_days_without_rain = max( zip( at_days_without_rain_output.values(), at_days_without_rain_output.keys() ) ) """ This portion is right from the weewx sample http://www.weewx.com/docs/customizing.htm """ all_stats = TimespanBinder( timespan, db_lookup, formatter=self.generator.formatter, converter=self.generator.converter, skin_dict=self.generator.skin_dict ) # Get the unit label from the skin dict for speed. windSpeedUnit = self.generator.skin_dict["Units"]["Groups"]["group_speed"] windSpeedUnitLabel = self.generator.skin_dict["Units"]["Labels"][windSpeedUnit] """ Get NOAA Data """ years = [] noaa_header_html = "" default_noaa_file = "" noaa_dir = local_root + "/NOAA/" try: noaa_file_list = os.listdir( noaa_dir ) # Generate a list of years based on file name for f in noaa_file_list: filename = f.split(".")[0] # Drop the .txt year = filename.split("-")[1] years.append(year) years = sorted( set( years ) )[::-1] # Remove duplicates with set, and sort numerically, then reverse sort with [::-1] oldest year last #first_year = years[0] #final_year = years[-1] for y in years: # Link to the year file if os.path.exists( noaa_dir + "NOAA-%s.txt" % y ): noaa_header_html += '%s:' % ( y, y ) else: noaa_header_html += '%s:' % y # Loop through all 12 months and find if the file exists. # If the file doesn't exist, just show the month name in the header without a href link. # There is no month 13, but we need to loop to 12, so 13 is where it stops. for i in range(1, 13): month_num = format( i, '02' ) # Pad the number with a 0 since the NOAA files use 2 digit month month_abbr = calendar.month_abbr[ i ] if os.path.exists( noaa_dir + "NOAA-%s-%s.txt" % ( y, month_num ) ): noaa_header_html += ' %s' % ( y, month_num, month_abbr ) else: noaa_header_html += ' %s' % month_abbr # Row build complete, push next row to new line noaa_header_html += "
" # Find the current month's NOAA file for the default file to show on JavaScript page load. # The NOAA files are generated as part of this skin, but if for some reason that the month file doesn't exist, use the year file. now = datetime.datetime.now() current_year = str( now.year ) current_month = str( format( now.month, '02' ) ) if os.path.exists( noaa_dir + "NOAA-%s-%s.txt" % ( current_year, current_month ) ): default_noaa_file = "NOAA-%s-%s.txt" % ( current_year, current_month ) else: default_noaa_file = "NOAA-%s.txt" % current_year except: # There's an error - I've seen this on first run and the NOAA folder is not created yet. Skip this section. pass """ Forecast Data """ if self.generator.skin_dict['Extras']['forecast_enabled'] == "1": forecast_file = local_root + "/json/darksky_forecast.json" forecast_json_url = belchertown_root_url + "/json/darksky_forecast.json" darksky_secret_key = self.generator.skin_dict['Extras']['darksky_secret_key'] darksky_units = self.generator.skin_dict['Extras']['darksky_units'].lower() darksky_lang = self.generator.skin_dict['Extras']['darksky_lang'].lower() latitude = self.generator.config_dict['Station']['latitude'] longitude = self.generator.config_dict['Station']['longitude'] forecast_alert_enabled = int( self.generator.skin_dict['Extras']['forecast_alert_enabled'] ) forecast_stale_timer = self.generator.skin_dict['Extras']['forecast_stale'] forecast_is_stale = False forecast_url = "https://api.darksky.net/forecast/%s/%s,%s?units=%s&lang=%s" % ( darksky_secret_key, latitude, longitude, darksky_units, darksky_lang ) # Determine if the file exists and get it's modified time if os.path.isfile( forecast_file ): if ( int( time.time() ) - int( os.path.getmtime( forecast_file ) ) ) > int( forecast_stale_timer ): forecast_is_stale = True else: # File doesn't exist, download a new copy forecast_is_stale = True # File is stale, download a new copy if forecast_is_stale: # Download new forecast data try: import urllib2 user_agent = 'Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10_6_4; en-US) AppleWebKit/534.3 (KHTML, like Gecko) Chrome/6.0.472.63 Safari/534.3' headers = { 'User-Agent' : user_agent } req = urllib2.Request( forecast_url, None, headers ) response = urllib2.urlopen( req ) page = response.read() response.close() except Exception as error: raise Warning( "Error downloading forecast data. Check the URL in your configuration and try again. You are trying to use URL: %s, and the error is: %s" % ( forecast_url, error ) ) # Save forecast data to file. w+ creates the file if it doesn't exist, and truncates the file and re-writes it everytime try: with open( forecast_file, 'w+' ) as file: file.write( page ) loginf( "New forecast file downloaded to %s" % forecast_file ) except IOError, e: raise Warning( "Error writing forecast info to %s. Reason: %s" % ( forecast_file, e) ) # Process the forecast file with open( forecast_file, "r" ) as read_file: data = json.load( read_file ) current_obs_summary = data["currently"]["summary"] visibility = data["currently"]["visibility"] if data["currently"]["icon"] == "partly-cloudy-night": current_obs_icon = '' else: current_obs_icon = '' # Even though we specify the DarkSky unit as darksky_units, if the user selects "auto" as their unit # then we don't know what DarkSky will return for visibility. So always use the DarkSky output to # tell us what unit they are using. This fixes the guessing game for what label to use for the DarkSky "auto" unit if ( data["flags"]["units"].lower() == "us" ) or ( data["flags"]["units"].lower() == "uk2" ): visibility_unit = "miles" elif ( data["flags"]["units"].lower() == "si" ) or ( data["flags"]["units"].lower() == "ca" ): visibility_unit = "km" else: visibility_unit = "" else: forecast_json_url = "" current_obs_icon = "" current_obs_summary = "" visibility = "" visibility_unit = "" """ Earthquake Data """ # Only process if Earthquake data is enabled if self.generator.skin_dict['Extras']['earthquake_enabled'] == "1": earthquake_file = local_root + "/json/earthquake.json" earthquake_stale_timer = self.generator.skin_dict['Extras']['earthquake_stale'] latitude = self.generator.config_dict['Station']['latitude'] longitude = self.generator.config_dict['Station']['longitude'] earthquake_maxradiuskm = self.generator.skin_dict['Extras']['earthquake_maxradiuskm'] #Sample URL from Belchertown Weather: http://earthquake.usgs.gov/fdsnws/event/1/query?limit=1&lat=42.223&lon=-72.374&maxradiuskm=1000&format=geojson&nodata=204&minmag=2 earthquake_url = "http://earthquake.usgs.gov/fdsnws/event/1/query?limit=1&lat=%s&lon=%s&maxradiuskm=%s&format=geojson&nodata=204&minmag=2" % ( latitude, longitude, earthquake_maxradiuskm ) earthquake_is_stale = False # Determine if the file exists and get it's modified time if os.path.isfile( earthquake_file ): if ( int( time.time() ) - int( os.path.getmtime( earthquake_file ) ) ) > int( earthquake_stale_timer ): earthquake_is_stale = True else: # File doesn't exist, download a new copy earthquake_is_stale = True # File is stale, download a new copy if earthquake_is_stale: # Download new earthquake data try: import urllib2 user_agent = 'Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10_6_4; en-US) AppleWebKit/534.3 (KHTML, like Gecko) Chrome/6.0.472.63 Safari/534.3' headers = { 'User-Agent' : user_agent } req = urllib2.Request( earthquake_url, None, headers ) response = urllib2.urlopen( req ) page = response.read() response.close() if weewx.debug: logdbg( "Downloading earthquake data using urllib2 was successful" ) except Exception as error: if weewx.debug: logdbg( "Error downloading earthquake data with urllib2, reverting to curl and subprocess" ) # Nested try - only execute if the urllib2 method fails try: import subprocess command = 'curl -L --silent "%s"' % earthquake_url p = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) page = p.communicate()[0] if weewx.debug: logdbg( "Downloading earthquake data with curl was successful." ) except Exception as error: raise Warning( "Error downloading earthquake data using urllib2 and subprocess curl. Your software may need to be updated, or the URL is incorrect. You are trying to use URL: %s, and the error is: %s" % ( earthquake_url, error ) ) # Save earthquake data to file. w+ creates the file if it doesn't exist, and truncates the file and re-writes it everytime try: with open( earthquake_file, 'w+' ) as file: file.write( page ) if weewx.debug: logdbg( "Earthquake data saved to %s" % earthquake_file ) except IOError, e: raise Warning( "Error writing earthquake data to %s. Reason: %s" % ( earthquake_file, e) ) # Process the earthquake file with open( earthquake_file, "r" ) as read_file: eqdata = json.load( read_file ) try: eqtime = eqdata["features"][0]["properties"]["time"] / 1000 equrl = eqdata["features"][0]["properties"]["url"] eqplace = eqdata["features"][0]["properties"]["place"] eqmag = eqdata["features"][0]["properties"]["mag"] eqlat = str( round( eqdata["features"][0]["geometry"]["coordinates"][0], 4 ) ) eqlon = str( round( eqdata["features"][0]["geometry"]["coordinates"][1], 4 ) ) except: # No earthquake data eqtime = "No recent earthquake data available!" equrl = "" eqplace = "" eqmag = "" eqlat = "" eqlon = "" else: eqtime = "" equrl = "" eqplace = "" eqmag = "" eqlat = "" eqlon = "" """ Social Share """ station_location = self.generator.config_dict["Station"]["location"] facebook_enabled = self.generator.skin_dict['Extras']['facebook_enabled'] twitter_enabled = self.generator.skin_dict['Extras']['twitter_enabled'] twitter_owner = self.generator.skin_dict['Extras']['twitter_owner'] twitter_hashtags = self.generator.skin_dict['Extras']['twitter_hashtags'] if facebook_enabled == "1": facebook_html = """
""" % belchertown_root_url else: facebook_html = "" if twitter_enabled == "1": twitter_html = """ Tweet """ % ( belchertown_root_url, station_location, twitter_owner, twitter_hashtags ) else: twitter_html = "" # Build the output social_html = "" if facebook_html != "" or twitter_html != "": social_html = '
' # Facebook first if facebook_html != "": social_html += facebook_html # Add a separator margin if both are enabled if facebook_html != "" and twitter_html != "": social_html += '
' # Twitter second if twitter_html != "": social_html += twitter_html social_html += "
" # Build the search list with the new values search_list_extension = { 'belchertown_version': VERSION, 'belchertown_root_url': belchertown_root_url, 'moment_js_utc_offset': moment_js_utc_offset, 'highcharts_timezoneoffset': highcharts_timezoneoffset, 'system_locale': system_locale, 'radar_html': radar_html, 'highcharts_archive_interval': highcharts_archive_interval, 'alltime' : all_stats, 'year_outTemp_range_max': year_outTemp_range_max, 'year_outTemp_range_min': year_outTemp_range_min, 'at_outTemp_range_max' : at_outTemp_range_max, 'at_outTemp_range_min': at_outTemp_range_min, 'rainiest_day': rainiest_day, 'at_rainiest_day': at_rainiest_day, 'year_rainiest_month': year_rainiest_month, 'at_rainiest_month': at_rainiest_month, 'at_rain_highest_year': at_rain_highest_year, 'year_days_with_rain': year_days_with_rain, 'year_days_without_rain': year_days_without_rain, 'at_days_with_rain': at_days_with_rain, 'at_days_without_rain': at_days_without_rain, 'windSpeedUnitLabel': windSpeedUnitLabel, 'noaa_header_html': noaa_header_html, 'default_noaa_file': default_noaa_file, 'forecast_json_url': forecast_json_url, 'current_obs_icon': current_obs_icon, 'current_obs_summary': current_obs_summary, 'visibility': visibility, 'visibility_unit': visibility_unit, 'earthquake_time': eqtime, 'earthquake_url': equrl, 'earthquake_place': eqplace, 'earthquake_magnitude': eqmag, 'earthquake_lat': eqlat, 'earthquake_lon': eqlon, 'social_html': social_html } # Finally, return our extension as a list: return [search_list_extension]