Hello Thomas Thanks for your support and interest in resolving this issue.
I resored niculskin from backup to the previously perfectly working state, but to no avail. The error did not go away. As niculskin did not get any updates recently, I suspected something to be wrong with the 2 skin installations. And indeed: bootstrap skin - which got an update in Oct-2018 - installs a newer version of historygenerator (see attachments). After setting it back, all niculskin reports updated flawlessly. There is also an indication in the previously attached logfile, where it lists the generators: Apr 5 19:10:22 … cheetahgenerator … u'user.historygenerator.MyXSearch', u'user.lastrain.lastRainTags' In the current log, the spelling is correct and the additional 'u' vanished again. Is there a chance to use both skins simultaneously with the same version of historygenerator? And what about historygenerator.pyc in /usr/share/weewx/user? Is this a compiled version, which is automatically generated at first run? Thanks for your analysis. Am Freitag, 5. April 2019 19:48:04 UTC+2 schrieb Copain: > Weewx runs on RPi 3B with dietpi. > > After setting up RPi with dietpi and weewx, I installed niculskin and > lastrain extension, which ran without any problems. > > Thereafter I switched to bootstrap skin, which also worked perfectly. > > Today I wanted to go back to niculskin for some testing. I enabled it in > weewx.conf and rebooted RPi. I am using the same skin.conf which > worked before. > > Now I have 'class NameMapper.NotFound' errors and no html files are being > generated. > > How can I resove this issue? > > Thanks. > > -- You received this message because you are subscribed to the Google Groups "weewx-user" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
# # Copyright (c) 2013-2016 Nick Dajda <[email protected]> # # Distributed under the terms of the GNU GENERAL PUBLIC LICENSE # """Extends the Cheetah generator search list to add html historic data tables in a nice colour scheme. Tested on Weewx release 3.8.2. Works with all databases. Observes the units of measure and display formats specified in skin.conf. WILL NOT WORK with Weewx prior to release 3.0. -- Use this version for 2.4 - 2.7: https://github.com/brewster76/fuzzy-archer/releases/tag/v2.0 To use it, add this generator to search_list_extensions in skin.conf: [CheetahGenerator] search_list_extensions = user.historygenerator.MyXSearch 1) The $alltime tag: Allows tags such as $alltime.outTemp.max for the all-time max temperature, or $seven_day.rain.sum for the total rainfall in the last seven days. 2) Nice colourful tables summarising history data by month and year: Adding the section below to your skins.conf file will create these new tags: $min_temp_table $max_temp_table $avg_temp_table $rain_table ############################################################################################ # # HTML month/year colour coded summary table generator # [HistoryReport] # minvalues, maxvalues and colours should contain the same number of elements. # # For example, the [min_temp] example below, if the minimum temperature measured in # a month is between -50 and -10 (degC) then the cell will be shaded in html colour code #0029E5. # # colours = background colour # fontColours = foreground colour [optional, defaults to black if omitted] # Default is temperature scale minvalues = -50, -10, -5, 0, 5, 10, 15, 20, 25, 30, 35 maxvalues = -10, -5, 0, 5, 10, 15, 20, 25, 30, 35, 60 colours = "#0029E5", "#0186E7", "#02E3EA", "#04EC97", "#05EF3D2, "#2BF207", "#8AF408", "#E9F70A", "#F9A90B", "#FC4D0D", "#FF0F2D" fontColours = "#FFFFFF", "#FFFFFF", "#000000", "#000000", "#000000", "#000000", "#000000", "#000000", "#FFFFFF", "#FFFFFF", "#FFFFFF" monthnames = Jan, Feb, Mar, Apr, May, Jun, Jul, Aug, Sep, Oct, Nov, Dec # The Raspberry Pi typically takes 15+ seconds to calculate all the summaries with a few years of weather date. # refresh_interval is how often in minutes the tables are calculated. refresh_interval = 60 [[min_temp]] # Create a new Cheetah tag which will have a _table suffix: $min_temp_table obs_type = outTemp # obs_type can be any weewx observation, e.g. outTemp, barometer, wind, ... aggregate_type = min # Any of these: 'sum', 'count', 'avg', 'max', 'min' [[max_temp]] obs_type = outTemp aggregate_type = max [[avg_temp]] obs_type = outTemp aggregate_type = avg [[rain]] obs_type = rain aggregate_type = sum data_binding = alternative_binding # Override default temperature colour scheme with rain specific scale minvalues = 0, 25, 50, 75, 100, 150 maxvalues = 25, 50, 75, 100, 150, 1000 colours = "#E0F8E0", "#A9F5A9", "#58FA58", "#2EFE2E", "#01DF01", "#01DF01" fontColours = "#000000", "#000000", "#000000", "#000000", "#000000", "#000000" """ from datetime import datetime import time import syslog import os.path from weewx.cheetahgenerator import SearchList from weewx.tags import TimespanBinder import weeutil.weeutil class MyXSearch(SearchList): def __init__(self, generator): SearchList.__init__(self, generator) self.table_dict = generator.skin_dict['HistoryReport'] # Calculate the tables once every refresh_interval mins self.refresh_interval = int(self.table_dict.get('refresh_interval', 5)) self.cache_time = 0 self.search_list_extension = {} # Make bootstrap specific labels in config file available to if 'BootstrapLabels' in generator.skin_dict: self.search_list_extension['BootstrapLabels'] = generator.skin_dict['BootstrapLabels'] else: syslog.syslog(syslog.LOG_DEBUG, "%s: No bootstrap specific labels found" % os.path.basename(__file__)) # Make observation labels available to templates if 'Labels' in generator.skin_dict: self.search_list_extension['Labels'] = generator.skin_dict['Labels'] else: syslog.syslog(syslog.LOG_DEBUG, "%s: No observation labels found" % os.path.basename(__file__)) def get_extension_list(self, valid_timespan, db_lookup): """For weewx V3.x extensions. Should return a list of objects whose attributes or keys define the extension. valid_timespan: An instance of weeutil.weeutil.TimeSpan. This will hold the start and stop times of the domain of valid times. db_lookup: A function with call signature db_lookup(data_binding), which returns a database manager and where data_binding is an optional binding name. If not given, then a default binding will be used. """ # Time to recalculate? if (time.time() - (self.refresh_interval * 60)) > self.cache_time: self.cache_time = time.time() # # The html history tables # t1 = time.time() ngen = 0 for table in self.table_dict.sections: noaa = True if table == 'NOAA' else False table_options = weeutil.weeutil.accumulateLeaves(self.table_dict[table]) # Get the binding where the data is allocated binding = table_options.get('data_binding', 'wx_binding') # # The all time statistics # # If this generator has been called in the [SummaryByMonth] or [SummaryByYear] # section in skin.conf then valid_timespan won't contain enough history data for # the colourful summary tables. Use the data binding provided as table option. alltime_timespan = weeutil.weeutil.TimeSpan(db_lookup(data_binding=binding).first_timestamp, db_lookup(data_binding=binding).last_timestamp) # First, get a TimeSpanStats object for all time. This one is easy # because the object valid_timespan already holds all valid times to be # used in the report. se the data binding provided as table option. all_stats = TimespanBinder(alltime_timespan, db_lookup, data_binding=binding, formatter=self.generator.formatter, converter=self.generator.converter) # Now create a small dictionary with keys 'alltime' and 'seven_day': self.search_list_extension['alltime'] = all_stats # Show all time unless starting date specified startdate = table_options.get('startdate', None) if startdate is not None: table_timespan = weeutil.weeutil.TimeSpan(int(startdate), db_lookup(binding).last_timestamp) table_stats = TimespanBinder(table_timespan, db_lookup, data_binding=binding, formatter=self.generator.formatter, converter=self.generator.converter) else: table_stats = all_stats table_name = table + '_table' self.search_list_extension[table_name] = self._statsHTMLTable(table_options, table_stats, table_name, binding, NOAA=noaa) ngen += 1 t2 = time.time() syslog.syslog(syslog.LOG_INFO, "%s: Generated %d tables in %.2f seconds" % (os.path.basename(__file__), ngen, t2 - t1)) return [self.search_list_extension] def _parseTableOptions(self, table_options, table_name): """Create an orderly list containing lower and upper thresholds, cell background and foreground colors """ # Check everything's the same length l = len(table_options['minvalues']) for i in [table_options['maxvalues'], table_options['colours']]: if len(i) != l: syslog.syslog(syslog.LOG_INFO, "%s: minvalues, maxvalues and colours must have the same number of elements in table: %s" % (os.path.basename(__file__), table_name)) return None font_color_list = table_options['fontColours'] if 'fontColours' in table_options else ['#000000'] * l return zip(table_options['minvalues'], table_options['maxvalues'], table_options['colours'], font_color_list) def _statsHTMLTable(self, table_options, table_stats, table_name, binding, NOAA=False): """ table_options: Dictionary containing skin.conf options for particluar table all_stats: Link to all_stats TimespanBinder """ cellColours = self._parseTableOptions(table_options, table_name) summary_column = weeutil.weeutil.to_bool(table_options.get("summary_column", False)) if None is cellColours: # Give up return None if NOAA is True: unit_formatted = "" else: obs_type = table_options['obs_type'] aggregate_type = table_options['aggregate_type'] converter = table_stats.converter # obs_type readingBinder = getattr(table_stats, obs_type) # Some aggregate come with an argument if aggregate_type in ['max_ge', 'max_le', 'min_le', 'sum_ge']: try: threshold_value = float(table_options['aggregate_threshold'][0]) except KeyError: syslog.syslog(syslog.LOG_INFO, "%s: Problem with aggregate_threshold. Should be in the format: [value], [units]" % (os.path.basename(__file__))) return "Could not generate table %s" % table_name threshold_units = table_options['aggregate_threshold'][1] try: reading = getattr(readingBinder, aggregate_type)((threshold_value, threshold_units)) except IndexError: syslog.syslog(syslog.LOG_INFO, "%s: Problem with aggregate_threshold units: %s" % (os.path.basename(__file__), str(threshold_units))) return "Could not generate table %s" % table_name else: try: reading = getattr(readingBinder, aggregate_type) except KeyError: syslog.syslog(syslog.LOG_INFO, "%s: aggregate_type %s not found" % (os.path.basename(__file__), aggregate_type)) return "Could not generate table %s" % table_name try: unit_type = reading.converter.group_unit_dict[reading.value_t[2]] except KeyError: syslog.syslog(syslog.LOG_INFO, "%s: obs_type %s no unit found" % (os.path.basename(__file__), obs_type)) unit_formatted = '' # 'units' option in skin.conf? if 'units' in table_options: unit_formatted = table_options['units'] else: if (unit_type == 'count'): unit_formatted = "Days" else: if unit_type in reading.formatter.unit_label_dict: unit_formatted = reading.formatter.unit_label_dict[unit_type] # For aggregrate types which return number of occurrences (e.g. max_ge), set format to integer # Don't catch error here - we absolutely need the string format if unit_type == 'count': format_string = '%d' else: format_string = reading.formatter.unit_format_dict[unit_type] htmlText = '<table class="table">' htmlText += " <thead>" htmlText += " <tr>" htmlText += " <th>%s</th>" % unit_formatted for mon in table_options.get('monthnames', ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']): htmlText += " <th>%s</th>" % mon if summary_column: if 'summary_heading' in table_options: htmlText += " <th></th>" htmlText += " <th align=\"center\">%s</th>\n" % table_options['summary_heading'] htmlText += " </tr>" htmlText += " </thead>" htmlText += " <tbody>" for year in table_stats.years(): year_number = datetime.fromtimestamp(year.timespan[0]).year htmlLine = (' ' * 8) + "<tr>\n" if NOAA is True: htmlLine += (' ' * 12) + "%s\n" % \ self._NoaaYear(datetime.fromtimestamp(year.timespan[0]), table_options) else: htmlLine += (' ' * 12) + "<td>%d</td>\n" % year_number for month in year.months(): if NOAA is True: #for property, value in vars(month.dateTime.value_t[0]).iteritems(): # print property, ": ", value if (month.timespan[1] < table_stats.timespan.start) or (month.timespan[0] > table_stats.timespan.stop): # print "No data for... %d, %d" % (year_number, datetime.fromtimestamp(month.timespan[0]).month) htmlLine += "<td>-</td>\n" else: htmlLine += self._NoaaCell(datetime.fromtimestamp(month.timespan[0]), table_options) else: # update the binding to access the right DB obsMonth = getattr(month, obs_type) obsMonth.data_binding = binding; if unit_type == 'count': try: value = getattr(obsMonth, aggregate_type)((threshold_value, threshold_units)).value_t except: value = [0, 'count'] else: value = converter.convert(getattr(obsMonth, aggregate_type).value_t) htmlLine += (' ' * 12) + self._colorCell(value[0], format_string, cellColours) if summary_column: obsYear = getattr(year, obs_type) obsYear.data_binding = binding; if unit_type == 'count': try: value = getattr(obsYear, aggregate_type)((threshold_value, threshold_units)).value_t except: value = [0, 'count'] else: value = converter.convert(getattr(obsYear, aggregate_type).value_t) htmlLine += (' ' * 12) + "<td></td>\n" htmlLine += (' ' * 12) + self._colorCell(value[0], format_string, cellColours, center=True) htmlLine += (' ' * 8) + "</tr>\n" htmlText += htmlLine htmlText += (' ' * 8) + "</tr>\n" htmlText += (' ' * 4) + "</tbody>\n" htmlText += "</table>\n" return htmlText def _colorCell(self, value, format_string, cellColours, center=False): """Returns a '<td style= background-color: XX; color: YY"> z.zz </td>' html table entry string. value: Numeric value for the observation format_string: How the numberic value should be represented in the table cell. cellColours: An array containing 4 lists. [minvalues], [maxvalues], [background color], [foreground color] """ cellText = "<td" if center: cellText += " align=\"center\"" if value is not None: for c in cellColours: if (value >= float(c[0])) and (value <= float(c[1])): cellText += " style=\"background-color:%s; color:%s\"" % (c[2], c[3]) formatted_value = format_string % value cellText += "> %s </td>\n" % formatted_value else: cellText += ">-</td>\n" return cellText def _NoaaCell(self, dt, table_options): cellText = '<td> <a href="%s" class="btn btn-default btn-xs active" role="button"> %s </a> </td>' % \ (dt.strftime(table_options['month_filename']), dt.strftime("%m-%y")) return cellText def _NoaaYear(self, dt, table_options): cellText = '<td> <a href="%s" class="btn btn-primary btn-xs active" role="button"> %s </a> </td>' % \ (dt.strftime(table_options['year_filename']), dt.strftime("%Y")) return cellText
# # Copyright (c) 2013-2016 Nick Dajda <[email protected]> # # Distributed under the terms of the GNU GENERAL PUBLIC LICENSE # """Extends the Cheetah generator search list to add html historic data tables in a nice colour scheme. Tested on Weewx release 3.0.1. Works with all databases. Observes the units of measure and display formats specified in skin.conf. WILL NOT WORK with Weewx prior to release 3.0. -- Use this version for 2.4 - 2.7: https://github.com/brewster76/fuzzy-archer/releases/tag/v2.0 To use it, add this generator to search_list_extensions in skin.conf: [CheetahGenerator] search_list_extensions = user.historygenerator.MyXSearch 1) The $alltime tag: Allows tags such as $alltime.outTemp.max for the all-time max temperature, or $seven_day.rain.sum for the total rainfall in the last seven days. 2) Nice colourful tables summarising history data by month and year: Adding the section below to your skins.conf file will create these new tags: $min_temp_table $max_temp_table $avg_temp_table $rain_table ############################################################################################ # # HTML month/year colour coded summary table generator # [HistoryReport] # minvalues, maxvalues and colours should contain the same number of elements. # # For example, the [min_temp] example below, if the minimum temperature measured in # a month is between -50 and -10 (degC) then the cell will be shaded in html colour code #0029E5. # # Default is temperature scale minvalues = -50, -10, -5, 0, 5, 10, 15, 20, 25, 30, 35 maxvalues = -10, -5, 0, 5, 10, 15, 20, 25, 30, 35, 60 colours = "#0029E5", "#0186E7", "#02E3EA", "#04EC97", "#05EF3D2, "#2BF207", "#8AF408", "#E9F70A", "#F9A90B", "#FC4D0D", "#FF0F2D" monthnames = Jan, Feb, Mar, Apr, May, Jun, Jul, Aug, Sep, Oct, Nov, Dec # The Raspberry Pi typically takes 15+ seconds to calculate all the summaries with a few years of weather date. # refresh_interval is how often in minutes the tables are calculated. refresh_interval = 60 [[min_temp]] # Create a new Cheetah tag which will have a _table suffix: $min_temp_table obs_type = outTemp # obs_type can be any weewx observation, e.g. outTemp, barometer, wind, ... aggregate_type = min # Any of these: 'sum', 'count', 'avg', 'max', 'min' [[max_temp]] obs_type = outTemp aggregate_type = max [[avg_temp]] obs_type = outTemp aggregate_type = avg [[rain]] obs_type = rain aggregate_type = sum # Override default temperature colour scheme with rain specific scale minvalues = 0, 25, 50, 75, 100, 150 maxvalues = 25, 50, 75, 100, 150, 1000 colours = "#E0F8E0", "#A9F5A9", "#58FA58", "#2EFE2E", "#01DF01", "#01DF01" """ from datetime import datetime import time import syslog import os.path from weewx.cheetahgenerator import SearchList from weewx.tags import TimespanBinder import weeutil.weeutil class MyXSearch(SearchList): def __init__(self, generator): SearchList.__init__(self, generator) self.table_dict = generator.skin_dict['HistoryReport'] # Calculate the tables once every refresh_interval mins self.refresh_interval = int(self.table_dict.get('refresh_interval', 5)) self.cache_time = 0 self.search_list_extension = {} # Make bootstrap specific labels in config file available to if 'niculskinLabels' in generator.skin_dict: self.search_list_extension['niculskinLabels'] = generator.skin_dict['niculskinLabels'] else: syslog.syslog(syslog.LOG_DEBUG, "%s: No bootstrap specific labels found" % os.path.basename(__file__)) # Make observation labels available to templates if 'Labels' in generator.skin_dict: self.search_list_extension['Labels'] = generator.skin_dict['Labels'] else: syslog.syslog(syslog.LOG_DEBUG, "%s: No observation labels found" % os.path.basename(__file__)) def get_extension_list(self, valid_timespan, db_lookup): """For weewx V3.x extensions. Should return a list of objects whose attributes or keys define the extension. valid_timespan: An instance of weeutil.weeutil.TimeSpan. This will hold the start and stop times of the domain of valid times. db_lookup: A function with call signature db_lookup(data_binding), which returns a database manager and where data_binding is an optional binding name. If not given, then a default binding will be used. """ # Time to recalculate? if (time.time() - (self.refresh_interval * 60)) > self.cache_time: self.cache_time = time.time() # # The all time statistics # # If this generator has been called in the [SummaryByMonth] or [SummaryByYear] # section in skin.conf then valid_timespan won't contain enough history data for # the colourful summary tables. alltime_timespan = weeutil.weeutil.TimeSpan(db_lookup().first_timestamp, db_lookup().last_timestamp) # First, get a TimeSpanStats object for all time. This one is easy # because the object valid_timespan already holds all valid times to be # used in the report. all_stats = TimespanBinder(alltime_timespan, db_lookup, formatter=self.generator.formatter, converter=self.generator.converter) # Now create a small dictionary with keys 'alltime' and 'seven_day': self.search_list_extension['alltime'] = all_stats # # The html history tables # t1 = time.time() ngen = 0 for table in self.table_dict.sections: noaa = True if table == 'NOAA' else False table_options = weeutil.weeutil.accumulateLeaves(self.table_dict[table]) # Show all time unless starting date specified startdate = table_options.get('startdate', None) if startdate is not None: table_timespan = weeutil.weeutil.TimeSpan(int(startdate), db_lookup().last_timestamp) table_stats = TimespanBinder(table_timespan, db_lookup, formatter=self.generator.formatter, converter=self.generator.converter) else: table_stats = all_stats table_name = table + '_table' self.search_list_extension[table_name] = self._statsHTMLTable(table_options, table_stats, table_name, NOAA=noaa) ngen += 1 t2 = time.time() syslog.syslog(syslog.LOG_INFO, "%s: Generated %d tables in %.2f seconds" % (os.path.basename(__file__), ngen, t2 - t1)) return [self.search_list_extension] def _statsHTMLTable(self, table_options, table_stats, table_name, NOAA=False): """ table_options: Dictionary containing skin.conf options for particluar table all_stats: Link to all_stats TimespanBinder """ bgColours = zip(table_options['minvalues'], table_options['maxvalues'], table_options['colours']) if NOAA is True: unit_formatted = "" else: obs_type = table_options['obs_type'] aggregate_type = table_options['aggregate_type'] converter = table_stats.converter # obs_type readingBinder = getattr(table_stats, obs_type) # Some aggregate come with an argument if aggregate_type in ['max_ge', 'max_le', 'min_le', 'sum_ge']: try: threshold_value = float(table_options['aggregate_threshold'][0]) except KeyError: syslog.syslog(syslog.LOG_INFO, "%s: Problem with aggregate_threshold. Should be in the format: [value], [units]" % (os.path.basename(__file__))) return "Could not generate table %s" % table_name threshold_units = table_options['aggregate_threshold'][1] try: reading = getattr(readingBinder, aggregate_type)((threshold_value, threshold_units)) except IndexError: syslog.syslog(syslog.LOG_INFO, "%s: Problem with aggregate_threshold units: %s" % (os.path.basename(__file__), str(threshold_units))) return "Could not generate table %s" % table_name else: try: reading = getattr(readingBinder, aggregate_type) except KeyError: syslog.syslog(syslog.LOG_INFO, "%s: aggregate_type %s not found" % (os.path.basename(__file__), aggregate_type)) return "Could not generate table %s" % table_name unit_type = reading.converter.group_unit_dict[reading.value_t[2]] unit_formatted = '' # 'units' option in skin.conf? if 'units' in table_options: unit_formatted = table_options['units'] else: if (unit_type == 'count'): unit_formatted = "Days" else: if unit_type in reading.formatter.unit_label_dict: unit_formatted = reading.formatter.unit_label_dict[unit_type] # For aggregrate types which return number of occurrences (e.g. max_ge), set format to integer # Don't catch error here - we absolutely need the string format if unit_type == 'count': format_string = '%d' else: format_string = reading.formatter.unit_format_dict[unit_type] htmlText = '<table class="table">' htmlText += " <thead>" htmlText += " <tr>" htmlText += " <th>%s</th>" % unit_formatted for mon in table_options.get('monthnames', ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']): htmlText += " <th>%s</th>" % mon htmlText += " </tr>" htmlText += " </thead>" htmlText += " <tbody>" for year in table_stats.years(): year_number = datetime.fromtimestamp(year.timespan[0]).year htmlLine = (' ' * 8) + "<tr>\n" if NOAA is True: htmlLine += (' ' * 12) + "%s\n" % \ self._NoaaYear(datetime.fromtimestamp(year.timespan[0]), table_options) else: htmlLine += (' ' * 12) + "<td>%d</td>\n" % year_number for month in year.months(): if NOAA is True: #for property, value in vars(month.dateTime.value_t[0]).iteritems(): # print property, ": ", value if (month.timespan[1] < table_stats.timespan.start) or (month.timespan[0] > table_stats.timespan.stop): # print "No data for... %d, %d" % (year_number, datetime.fromtimestamp(month.timespan[0]).month) htmlLine += "<td>-</td>\n" else: htmlLine += self._NoaaCell(datetime.fromtimestamp(month.timespan[0]), table_options) else: if unit_type == 'count': try: value = getattr(getattr(month, obs_type), aggregate_type)((threshold_value, threshold_units)).value_t except: value = [0, 'count'] else: value = converter.convert(getattr(getattr(month, obs_type), aggregate_type).value_t) htmlLine += (' ' * 12) + self._colorCell(value[0], format_string, bgColours) htmlLine += (' ' * 8) + "</tr>\n" htmlText += htmlLine htmlText += (' ' * 8) + "</tr>\n" htmlText += (' ' * 4) + "</tbody>\n" htmlText += "</table>\n" return htmlText def _colorCell(self, value, format_string, bgColours): """Returns a '<td> bgcolor = xxx y.yy </td>' html table entry string. value: Numeric value for the observation format_string: How the numberic value should be represented in the table cell. bgColours: An array containing 3 lists. [minvalues], [maxvalues], [html colour code] """ if value is not None: cellText = "<td" for c in bgColours: if (value >= int(c[0])) and (value <= int(c[1])): cellText += " bgcolor = \"%s\"" % c[2] formatted_value = format_string % value cellText += "> %s </td>" % formatted_value else: cellText = "<td>-</td>\n" return cellText def _NoaaCell(self, dt, table_options): cellText = '<td> <a href="%s" class="btn btn-default btn-xs active" role="button"> %s </a> </td>' % \ (dt.strftime(table_options['month_filename']), dt.strftime("%m-%y")) return cellText def _NoaaYear(self, dt, table_options): cellText = '<td> <a href="%s" class="btn btn-primary btn-xs active" role="button"> %s </a> </td>' % \ (dt.strftime(table_options['year_filename']), dt.strftime("%Y")) return cellText
Apr 6 00:00:08 DietPi weewx[5535]: te923: read: address 0x00004c Apr 6 00:00:08 DietPi weewx[5535]: te923: read: 5a ff ff ff ff ff ff ff ff ff ff ff ff ff 54 c2 01 04 39 ff ff 54 05 23 03 81 3e 7d 3e 77 3e 72 3e 87 Apr 6 00:00:18 DietPi weewx[5535]: te923: read: address 0x020001 Apr 6 00:00:19 DietPi weewx[5535]: te923: read: 5a 09 a2 46 27 c0 79 0a 00 0a 0a 00 0a 0a 00 0a 0a 00 0a ff ff 80 3e 04 05 40 00 00 00 00 08 99 00 47 Apr 6 00:00:19 DietPi weewx[5535]: te923: read: address 0x00004c Apr 6 00:00:19 DietPi weewx[5535]: te923: read: 5a ff ff ff ff ff ff ff ff ff ff ff ff ff 54 c2 01 04 39 ff ff 54 05 23 03 81 3e 7d 3e 77 3e 72 3e 87 Apr 6 00:00:19 DietPi weewx[5535]: manager: Added record 2019-04-06 00:00:00 CEST (1554501600) to database 'weewx.sdb' Apr 6 00:00:19 DietPi weewx[5535]: manager: Added record 2019-04-06 00:00:00 CEST (1554501600) to daily summary in 'weewx.sdb' Apr 6 00:00:19 DietPi weewx[5535]: reportengine: Running reports for latest time in the database. Apr 6 00:00:19 DietPi weewx[5535]: te923: read: address 0x020001 Apr 6 00:00:19 DietPi weewx[5535]: reportengine: Running report 'niculskinReport' Apr 6 00:00:19 DietPi weewx[5535]: reportengine: Found configuration file /etc/weewx/skins/niculskin/skin.conf for report 'niculskinReport' Apr 6 00:00:19 DietPi weewx[5535]: translategenerator.pyc: Language is german Apr 6 00:00:19 DietPi weewx[5535]: cheetahgenerator: using search list ['weewx.cheetahgenerator.Almanac', 'weewx.cheetahgenerator.Station', 'weewx.cheetahgenerator.Current', 'weewx.cheetahgenerator.Stats', 'weewx.cheetahgenerator.UnitInfo', 'weewx.cheetahgenerator.Extras', 'user.historygenerator.MyXSearch', 'user.lastrain.lastRainTags'] Apr 6 00:00:19 DietPi weewx[5535]: te923: read: 5a 09 a2 46 27 c0 79 0a 00 0a 0a 00 0a 0a 00 0a 0a 00 0a ff ff 80 3e 04 05 40 00 00 00 00 08 99 00 47 Apr 6 00:00:19 DietPi weewx[5535]: te923: read: address 0x00004c Apr 6 00:00:19 DietPi weewx[5535]: manager: Daily summary version is 2.0 Apr 6 00:00:19 DietPi weewx[5535]: te923: read: 5a ff ff ff ff ff ff ff ff ff ff ff ff ff 54 c2 01 04 39 ff ff 54 05 23 03 81 3e 7d 3e 77 3e 72 3e 87 Apr 6 00:00:19 DietPi weewx[5535]: historygenerator.py: Generated 6 tables in 0.07 seconds Apr 6 00:00:21 DietPi weewx[5535]: cheetahgenerator: Generated 10 files for report niculskinReport in 2.22 seconds Apr 6 00:00:21 DietPi weewx[5535]: manager: Daily summary version is 2.0 Apr 6 00:00:29 DietPi weewx[5535]: te923: read: address 0x020001 Apr 6 00:00:30 DietPi weewx[5535]: te923: read: 5a 09 a2 46 27 c0 79 0a 00 0a 0a 00 0a 0a 00 0a 0a 00 0a ff ff 80 3e 04 05 40 00 00 00 00 08 99 00 47 Apr 6 00:00:30 DietPi weewx[5535]: te923: read: address 0x00004c Apr 6 00:00:30 DietPi weewx[5535]: te923: read: 5a ff ff ff ff ff ff ff ff ff ff ff ff ff 54 c2 01 04 39 ff ff 54 05 23 03 81 3e 7d 3e 77 3e 72 3e 87 Apr 6 00:00:31 DietPi weewx[5535]: imagegenerator: Generated 54 images for niculskinReport in 9.21 seconds Apr 6 00:00:31 DietPi weewx[5535]: copygenerator: copied 0 files to /var/weewx/reports/niculskin Apr 6 00:00:31 DietPi weewx[5535]: reportengine: Report 'HTMLPages' not enabled. Skipping. Apr 6 00:00:31 DietPi weewx[5535]: reportengine: Report 'BigImages' not enabled. Skipping. Apr 6 00:00:31 DietPi weewx[5535]: reportengine: Report 'SmallImages' not enabled. Skipping. Apr 6 00:00:31 DietPi weewx[5535]: reportengine: Report 'lastrain' not enabled. Skipping. Apr 6 00:00:31 DietPi weewx[5535]: reportengine: Report 'SeasonsReport' not enabled. Skipping. Apr 6 00:00:31 DietPi weewx[5535]: reportengine: Report 'SmartphoneReport' not enabled. Skipping. Apr 6 00:00:31 DietPi weewx[5535]: reportengine: Report 'MobileReport' not enabled. Skipping. Apr 6 00:00:31 DietPi weewx[5535]: reportengine: Report 'StandardReport' not enabled. Skipping. Apr 6 00:00:31 DietPi weewx[5535]: reportengine: Report 'FTP' not enabled. Skipping. Apr 6 00:00:31 DietPi weewx[5535]: reportengine: Report 'RSYNC' not enabled. Skipping. Apr 6 00:00:40 DietPi weewx[5535]: te923: read: address 0x020001 Apr 6 00:00:40 DietPi weewx[5535]: te923: read: 5a 09 a2 46 27 c0 79 0a 00 0a 0a 00 0a 0a 00 0a 0a 00 0a ff ff 80 3e 04 05 40 00 00 00 00 08 99 00 47 Apr 6 00:00:40 DietPi weewx[5535]: te923: read: address 0x00004c Apr 6 00:00:40 DietPi weewx[5535]: te923: read: 5a ff ff ff ff ff ff ff ff ff ff ff ff ff 54 c2 01 04 39 ff ff 54 05 23 03 81 3e 7d 3e 77 3e 72 3e 87 Apr 6 00:00:50 DietPi weewx[5535]: te923: read: address 0x020001 Apr 6 00:00:51 DietPi weewx[5535]: te923: read: 5a 09 a2 46 27 c0 79 0a 00 0a 0a 00 0a 0a 00 0a 0a 00 0a ff ff 80 3e 04 05 40 00 00 00 00 08 99 00 47
