def do_processing(globals, scalars, var_values, output_values, tw_values):
compare_mode = globals['COMPARE_MODE']
time_interval = globals['DEFAULT_TIME_INTERVAL']
# open files 1 and file 2 and loop over to plot
from java.util import Date
dss_group0, dss_group1, dss_group2, refvar, refname = compare_dss_utils.get_group_ref(globals, scalars, var_values)
# obtain the new output list modified for *_ or _* cases
output_values = compare_dss_utils.get_ref_list(compare_mode,dss_group0,dss_group1,output_values)
output_dir = scalars['OUTDIR'].replace('"','')
wyt_arr = write_wyt(output_dir, tw_values) #write the water type JavaScript file
#out_name = column(output_values,0)
#out_type = column(output_values,1)
if compare_mode=='1':
type_arr = compare_dss_utils.get_cpart_list(dss_group0)
else:
type_arr = compare_dss_utils.get_cpart_list(dss_group1)
compare_dss_utils.chk_cpart_space(type_arr)
if output_dir[-1]!='/': output_dir=output_dir+"/"
time_windows = map(lambda val: val[1].replace('"',''), tw_values)
tws = map(lambda x: vtimeseries.timewindow(x), time_windows)
dIndex = 0
dataIndex = {}
fs_davg = {}
fs_dmax = {}
fs_dmin = {}
fs_mavg = {}
fs_orig = {}
tbl_latlng = compare_dss_utils.lines2table(output_dir+"js/latlng.txt")
fl = open(output_dir+"data/data_list.js",'w')
for i in type_arr:
initial_js = output_dir+"data/DSS_compare_spec_davg_"+i+".js"
initial_pretab = i
fs_davg[i] = open(output_dir+"data/DSS_compare_spec_davg_"+i+".js",'w')
fs_dmax[i] = open(output_dir+"data/DSS_compare_spec_dmax_"+i+".js",'w')
fs_dmin[i] = open(output_dir+"data/DSS_compare_spec_dmin_"+i+".js",'w')
fs_mavg[i] = open(output_dir+"data/DSS_compare_spec_mavg_"+i+".js",'w')
print >> fs_davg[i], """/* Comparison Output File Generated on : %s */"""%(str(Date()))
print >> fs_dmax[i], """/* Comparison Output File Generated on : %s */"""%(str(Date()))
print >> fs_dmin[i], """/* Comparison Output File Generated on : %s */"""%(str(Date()))
print >> fs_mavg[i], """/* Comparison Output File Generated on : %s */"""%(str(Date()))
dataIndex['spec_davg_'+i] = 0
dataIndex['spec_dmax_'+i] = 0
dataIndex['spec_dmin_'+i] = 0
dataIndex['spec_mavg_'+i] = 0
js_data.write_begin_data_array(fs_davg[i])
js_data.write_begin_data_array(fs_dmax[i])
js_data.write_begin_data_array(fs_dmin[i])
js_data.write_begin_data_array(fs_mavg[i])
if globals['PLOT_ORIGINAL_TIME_INTERVAL']=='ON':
fs_orig[i] = open(output_dir+"data/DSS_compare_spec_orig_"+i+".js",'w')
print >> fs_orig[i], """/* Comparison Output File Generated on : %s */"""%(str(Date()))
dataIndex['spec_orig_'+i] = 0
js_data.write_begin_data_array(fs_orig[i])
js_data_list.write_begin_data_array(fl)
wy_types = ['W','AN','BN','D','C']
if globals['DONOT_SORT_STATION_NAME']=='OFF':
output_values = compare_dss_utils.sort_alphabetically(output_values)
refname = compare_dss_utils.sort_alphabetically(refname)
else:
refname = compare_dss_utils.get_not_sort_refname(refname,output_values)
for name in refname:
ref0 = None; ref1 = None; ref2 = None
try:
series_name = compare_dss_utils.get_series_name(compare_mode,scalars,refvar[name])
except Exception,e:
logging.error("Error building name for :%s and error is %s"%(name,e))
continue
if (globals['CALCULATE_SPECIFIED_RMSE_ONLY']=='OFF') or (globals['CALCULATE_SPECIFIED_RMSE_ONLY']=='ON' and name in output_values):
conti = 0
str_refvar = compare_dss_utils.get_str_refvar(refvar[name],compare_mode)
if compare_mode=='1' or compare_mode=='4' or compare_mode=='5':
try:
if refvar[name][0][4]=='0': dss_group = dss_group0
if refvar[name][0][4]=='1': dss_group = dss_group1
if refvar[name][0][4]=='2': dss_group = dss_group2
ref0 = compare_dss_utils.get_ref(dss_group, refvar[name][0])
p = ref0.pathname
intv, var_name, data_units, data_type = compare_dss_utils.get_prop_of_ref(ref0)
except:
print "**** Can't find matched time series for "+ name +" ****"
conti = 1
if compare_mode=='3' or compare_mode=='5':
try:
if refvar[name][2][4]=='0': dss_group = dss_group0
if refvar[name][2][4]=='1': dss_group = dss_group1
if refvar[name][2][4]=='2': dss_group = dss_group2
ref2 = compare_dss_utils.get_ref(dss_group, refvar[name][2])
p = ref2.pathname
intv, var_name, data_units, data_type = compare_dss_utils.get_prop_of_ref(ref2)
except:
print "**** Can't find matched time series for "+ name +" ****"
conti = 1
if compare_mode=='2' or compare_mode=='3' or compare_mode=='4' or compare_mode=='5':
try:
if refvar[name][1][4]=='0': dss_group = dss_group0
if refvar[name][1][4]=='1': dss_group = dss_group1
if refvar[name][1][4]=='2': dss_group = dss_group2
ref1 = compare_dss_utils.get_ref(dss_group, refvar[name][1])
p = ref1.pathname
intv, var_name, data_units, data_type = compare_dss_utils.get_prop_of_ref(ref1)
except:
print "**** Can't find matched time series for "+ name +" ****"
conti = 1
if conti == 0:
cpart = p.getPart(p.C_PART).encode('ascii')
if name in output_values:
ref0_davg = None; ref0_dmax = None; ref0_dmin = None; ref0_mavg = None
ref1_davg = None; ref1_dmax = None; ref1_dmin = None; ref1_mavg = None
ref2_davg = None; ref2_dmax = None; ref2_dmin = None; ref2_mavg = None
if intv < 1000:
dataIndex['spec_davg_'+cpart]=dataIndex['spec_davg_'+cpart]+1
dataIndex['spec_dmax_'+cpart]=dataIndex['spec_dmax_'+cpart]+1
dataIndex['spec_dmin_'+cpart]=dataIndex['spec_dmin_'+cpart]+1
if dataIndex['spec_davg_'+cpart]>1:
fs_davg[cpart].write(",")
if dataIndex['spec_dmax_'+cpart]>1:
fs_dmax[cpart].write(",")
if dataIndex['spec_dmin_'+cpart]>1:
fs_dmin[cpart].write(",")
if compare_mode=='1' or compare_mode=='4' or compare_mode=='5':
ref0_godin = vtimeseries.godin(ref0)
ref0_davg = vtimeseries.per_avg(ref0_godin,'1day')
ref0_dmax = vtimeseries.per_max(ref0,'1day')
ref0_dmin = vtimeseries.per_min(ref0,'1day')
if compare_mode=='2' or compare_mode=='3' or compare_mode=='4' or compare_mode=='5':
ref1_godin = vtimeseries.godin(ref1)
ref1_davg = vtimeseries.per_avg(ref1_godin,'1day')
ref1_dmax = vtimeseries.per_max(ref1,'1day')
ref1_dmin = vtimeseries.per_min(ref1,'1day')
if compare_mode=='3' or compare_mode=='5':
ref2_godin = vtimeseries.godin(ref2)
ref2_davg = vtimeseries.per_avg(ref2_godin,'1day')
ref2_dmax = vtimeseries.per_max(ref2,'1day')
ref2_dmin = vtimeseries.per_min(ref2,'1day')
write_plot_data(fs_davg[cpart], compare_mode, name, str_refvar, compare_dss_utils.build_data_array(ref0_davg,ref1_davg,ref2_davg), dataIndex['spec_davg_'+cpart], "%s"%var_name, series_name, "%s (%s)"%(data_type,data_units), "Time", PlotType.TIME_SERIES, cpart,'Daily Average')
write_plot_data(fs_dmax[cpart], compare_mode, name, str_refvar, compare_dss_utils.build_data_array(ref0_dmax,ref1_dmax,ref2_dmax), dataIndex['spec_dmax_'+cpart], "%s"%var_name, series_name, "%s (%s)"%(data_type,data_units), "Time", PlotType.TIME_SERIES, cpart,'Daily Maximum')
write_plot_data(fs_dmin[cpart], compare_mode, name, str_refvar, compare_dss_utils.build_data_array(ref0_dmin,ref1_dmin,ref2_dmin), dataIndex['spec_dmin_'+cpart], "%s"%var_name, series_name, "%s (%s)"%(data_type,data_units), "Time", PlotType.TIME_SERIES, cpart,'Daily Minimum')
elif globals['DEFAULT_TIME_INTERVAL']=='1DAY':
ref0_davg = ref0; ref0_dmax = ref0; ref0_dmin = ref0
ref1_davg = ref1; ref1_dmax = ref1; ref1_dmin = ref1
ref2_davg = ref2; ref2_dmax = ref2; ref2_dmin = ref2
elif globals['DEFAULT_TIME_INTERVAL']=='1MON':
ref2_mavg = ref2; ref2_mmax = ref2; ref2_mmin = ref2
if globals['PLOT_ORIGINAL_TIME_INTERVAL']=='ON':
dataIndex['spec_orig_'+cpart]=dataIndex['spec_orig_'+cpart]+1
if dataIndex['spec_orig_'+cpart]>1:
fs_orig[cpart].write(",")
write_plot_data(fs_orig[cpart], compare_mode, name, str_refvar, compare_dss_utils.build_data_array(ref0,ref1,ref2), dataIndex['spec_orig_'+cpart], "%s"%var_name, series_name, "%s (%s)"%(data_type,data_units), "Time", PlotType.TIME_SERIES, cpart,'Original Time Interval')
if intv < 40000:
dataIndex['spec_mavg_'+cpart]=dataIndex['spec_mavg_'+cpart]+1
if dataIndex['spec_mavg_'+cpart]>1:
fs_mavg[cpart].write(",")
if compare_mode=='1' or compare_mode=='4' or compare_mode=='5':
ref0_mavg = vtimeseries.per_avg(ref0,'1month')
if compare_mode=='2' or compare_mode=='3' or compare_mode=='4' or compare_mode=='5':
ref1_mavg = vtimeseries.per_avg(ref1,'1month')
if compare_mode=='3' or compare_mode=='5':
ref2_mavg = vtimeseries.per_avg(ref2,'1month')
write_plot_data(fs_mavg[cpart], compare_mode, name, str_refvar, compare_dss_utils.build_data_array(ref0_mavg,ref1_mavg,ref2_mavg), dataIndex['spec_mavg_'+cpart], "%s"%var_name, series_name, "%s (%s)"%(data_type,data_units), "Time", PlotType.TIME_SERIES, cpart,'Monthly Average')
if (globals['CALCULATE_SPECIFIED_RMSE_ONLY']=='OFF') or (globals['CALCULATE_SPECIFIED_RMSE_ONLY']=='ON' and name in output_values):
diff_arr = []
if compare_mode=='3' or compare_mode=='4' or compare_mode=='5':
for i in range(len(tws)):
if compare_mode=='3':
rmse_val = vdiff.rmse(ref1, ref2, tws[i], time_interval)
perc_rmse_val = vdiff.perc_rmse(ref1, ref2, tws[i], time_interval)
diff_arr.append([perc_rmse_val,rmse_val ])
if compare_mode=='4':
rmse_val = vdiff.rmse(ref0, ref1, tws[i], time_interval)
perc_rmse_val = vdiff.perc_rmse(ref0, ref1, tws[i], time_interval)
diff_arr.append([perc_rmse_val,rmse_val ])
if compare_mode=='5':
rmse_val = vdiff.rmse(ref0, ref1, tws[i], time_interval)
perc_rmse_val = vdiff.perc_rmse(ref0, ref1, tws[i], time_interval)
rmse_val2 = vdiff.rmse(ref0, ref2, tws[i], time_interval)
perc_rmse_val2 = vdiff.perc_rmse(ref0, ref2, tws[i], time_interval)
diff_arr.append([perc_rmse_val,rmse_val,perc_rmse_val2,rmse_val2 ])
for w in wy_types:
if compare_mode=='3':
diff_arr.append([vdiff.rmse_discrete_tws(ref1,ref2,wyt_arr[w],0), vdiff.rmse_discrete_tws(ref1,ref2,wyt_arr[w],1)])
if compare_mode=='4':
diff_arr.append([vdiff.rmse_discrete_tws(ref0,ref1,wyt_arr[w],0), vdiff.rmse_discrete_tws(ref0,ref1,wyt_arr[w],1)])
if compare_mode=='5':
diff_arr.append([vdiff.rmse_discrete_tws(ref0,ref1,wyt_arr[w],0), vdiff.rmse_discrete_tws(ref0,ref1,wyt_arr[w],1), vdiff.rmse_discrete_tws(ref0,ref2,wyt_arr[w],0), vdiff.rmse_discrete_tws(ref0,ref2,wyt_arr[w],1)])
latlng = compare_dss_utils.get_latlng(tbl_latlng,p.getPart(p.B_PART))
if globals['CALCULATE_SPECIFIED_RMSE_ONLY']=='OFF':
logging.debug('Working on index: %d/%d '%(dIndex+1,len(refname)))
else:
logging.debug('Working on index: %d/%d '%(dIndex+1,len(output_values)))
dIndex = dIndex + 1
if latlng==None:
latlng=['nan','nan','nan','nan']
print "can't find the Lat/Lng for ",p.getPart(p.B_PART)
if dIndex>1:
fl.write(",")
if name in output_values:
write_list_data(fl,name, str_refvar, p.getPart(p.B_PART), cpart, 1, diff_arr,latlng)
else:
write_list_data(fl,name, str_refvar, p.getPart(p.B_PART), cpart, 0, diff_arr,latlng)
else:
logging.debug("*** Please verify the path for "+name+" ***")
def write_summary_table(fh, dss_group1,dss_group2,globals,scalars,tw_values, var_values, output_values):
compare_mode = globals['COMPARE_MODE']
if compare_mode=='1': print >> fh, "<h1><center>Observation Time Series Report<br>Data Set: %s </center></h1>"%(scalars['NAME0'])
if compare_mode=='2': print >> fh, "<h1><center>Model Output Time Series Report<br>Study Name: %s </center></h1>"%(scalars['NAME1'])
if compare_mode=='3': print >> fh, "<h1><center>DSM2 Output Comparison Report<br> %s <n>vs</n> %s</center></h1>"%(scalars['NAME1'], scalars['NAME2'])
if compare_mode=='4': print >> fh, "<h1><center>Calibration Report<br> %s <n>vs</n> %s</center></h1>"%(scalars['NAME1'], scalars['NAME0'])
if compare_mode=='5': print >> fh, "<h1><center>Calibration Report<br>[ %s <n>vs</n> %s ] <n> & </n> [ %s <n>vs</n> %s ]</center></h1>"%(scalars['NAME1'],scalars['NAME0'], scalars['NAME2'],scalars['NAME0'])
print >> fh, '<div id="note">Note: %s</div>'%(scalars['NOTE'].replace('"',''))
print >> fh, '<div id="assumptions">Assumptions: %s</div>'%(scalars['ASSUMPTIONS'].replace('"',''))
print >> fh, """<div id="control-panel">
<form>
Data Conversion for Plot: <select name="datatype" onChange="change_period()" id="data-conversion">
<option value="davg"> Daily Average</option>
<option value="dmax"> Daily Maximum</option>
<option value="dmin"> Daily Minimim</option>
<option value="mavg"> Monthly Average</option>
"""
if globals['PLOT_ORIGINAL_TIME_INTERVAL']=='ON':
print >> fh, '<option value="orig">Original Data</option>'
print >> fh, """
</select><br>
Use Defined Time Window: <select name="tw" id="time-window-select">
"""
for i in range(len(tw_values)):
if i==0:
selected = 'selected="selected"'
else:
selected = ""
print >> fh, '<option value="%s" %s>%s</option>'%(compare_dss_utils.timewindow_option_value(vtimeseries.timewindow(tw_values[i][1].replace('"',''))), selected,tw_values[i][0].replace('"',''))
print >> fh, """
</select>
<div>
Customize Time Window:
"""
twstr = compare_dss_utils.timewindow_option_value(vtimeseries.timewindow(tw_values[0][1].replace('"',''))).split("-")
a1=twstr[0].split(",")
a2=twstr[1].split(",")
print >> fh, """Start Date: <input name="SDate" id="SDate" value="%s" onclick="displayDatePicker('SDate');" size=12>"""%(a1[1]+"/"+a1[2]+"/"+a1[0])
print >> fh, """End Date: <input name="EDate" id="EDate" value="%s" onclick="displayDatePicker('EDate');" size=12>"""%(a2[1]+"/"+a2[2]+"/"+a2[0])
print >> fh, """
<input type=button id="calendar" value="Re-draw">
</div>
"""
if (compare_mode!='1' and compare_mode!='2'):
print >> fh, '<div>'
print >> fh, 'Show differences on plot:<input type="checkbox" name="diff_plot" value="1"/>   (Difference = %s - %s)'%(scalars['NAME2'],scalars['NAME1'])
print >> fh, '</div>'
print >> fh, """
<div>
Show water year types on plot: <input type="checkbox" name="wyt" value="1"/>  (<span style="font-size:100%"><span style="background-color:#D9F7CC">    Wet   </span><span style="background-color:#EBF7E6">   Above Normal  </span><span style="background-color:#F7F8F7">  Below Normal  </span><span style="background-color:#FBEEF3">    Dry    </span><span style="background-color:#FFDFEC">   Critical   </span></span>)
</div>
"""
if (compare_mode!='1' and compare_mode!='2'):
print >> fh, """
<div>
Threshold value to highlight percentage differences
<input type="text" id="threshold" value="50"/>
</div>
<div>
Table Statistics: <select name="stat" id="stat" onChange="">
<option value=0>Percentage RMS Diff</option><option value=1>RMS Diff</option>
</select>
</div>
"""
print >> fh, """
<div id="warning" style="color:red;font-weight:bold"></div>
<input type="hidden" name="ta" id="ta" value="">
</form>
</div>"""
time_windows = map(lambda val: val[1].replace('"',''), tw_values)
tws = map(lambda x: vtimeseries.timewindow(x), time_windows)
print >> fh, '<div class="tabber">'
if globals['CALCULATE_SPECIFIED_RMSE_ONLY']=='ON':
part_c = compare_dss_utils.get_cpart_from_spec(var_values, output_values)
else:
part_c = compare_dss_utils.get_cpart_list(dss_group1)
for type_item in part_c:
print >> fh, '<div class="tabbertab" id="%s"><h2>%s</h2><p id="%s_p">'%(type_item,type_item,type_item)
print >> fh, '</p></div>'
print >> fh, '</div>'
print >> fh, '<br><center><font style="font-family:arial,verdana,sans-serif;">Copyright © 2010 State of California, Department of Water Resources<br>Last Modified: 1/25/2011</font></center>'
return tws
function install_gcf() {
CFInstall.check({
mode: "overlay",
node: "prompt"
});
return false;
}
window.attachEvent("onload", install_gcf);
</script>
<![endif]-->
"""%(scalars['NAME1'],scalars['NAME2'],initial_js,initial_pretab)
tws = write_summary_table(fh,dss_group1, dss_group2, globals, scalars, tw_values, var_values, output_values)
if globals['CALCULATE_SPECIFIED_RMSE_ONLY']=='ON':
part_c = compare_dss_utils.get_cpart_from_spec(var_values, output_values)
else:
part_c = compare_dss_utils.get_cpart_list(dss_group1)
dt_arr = "dt_arr=["
peri_name = "period_name=["
peri_range = "period_range=["
for type_item in part_c:
dt_arr+= "'"+type_item+"',"
for i in range(len(tws)):
peri_name+= '"'+tw_values[i][0].replace('"','')+'",'
for tw in tws:
peri_range+= '"'+compare_dss_utils.format_timewindow(tw)+'",'
print >> fh, '<script type="text/javascript">'+dt_arr+"];"
print >> fh, peri_name+"];"
print >> fh, peri_range+"]; </script>"
write_js_block(fh,globals,scalars)
fh.close()
#fireup(output_dir+scalars['OUTFILE'])
def do_processing(globals, scalars, var_values, output_values, tw_values):
compare_mode = globals['COMPARE_MODE']
time_interval = globals['DEFAULT_TIME_INTERVAL']
# open files 1 and file 2 and loop over to plot
from java.util import Date
dss_group0, dss_group1, dss_group2, refvar, refname = compare_dss_utils.get_group_ref(
globals, scalars, var_values)
# obtain the new output list modified for *_ or _* cases
output_values = compare_dss_utils.get_ref_list(compare_mode, dss_group0,
dss_group1, output_values)
output_dir = scalars['OUTDIR'].replace('"', '')
wyt_arr = write_wyt(output_dir,
tw_values) #write the water type JavaScript file
#out_name = column(output_values,0)
#out_type = column(output_values,1)
if compare_mode == '1':
type_arr = compare_dss_utils.get_cpart_list(dss_group0)
else:
type_arr = compare_dss_utils.get_cpart_list(dss_group1)
compare_dss_utils.chk_cpart_space(type_arr)
if output_dir[-1] != '/': output_dir = output_dir + "/"
time_windows = map(lambda val: val[1].replace('"', ''), tw_values)
tws = map(lambda x: vtimeseries.timewindow(x), time_windows)
dIndex = 0
dataIndex = {}
fs_davg = {}
fs_dmax = {}
fs_dmin = {}
fs_mavg = {}
fs_orig = {}
tbl_latlng = compare_dss_utils.lines2table(output_dir + "js/latlng.txt")
fl = open(output_dir + "data/data_list.js", 'w')
for i in type_arr:
initial_js = output_dir + "data/DSS_compare_spec_davg_" + i + ".js"
initial_pretab = i
fs_davg[i] = open(
output_dir + "data/DSS_compare_spec_davg_" + i + ".js", 'w')
fs_dmax[i] = open(
output_dir + "data/DSS_compare_spec_dmax_" + i + ".js", 'w')
fs_dmin[i] = open(
output_dir + "data/DSS_compare_spec_dmin_" + i + ".js", 'w')
fs_mavg[i] = open(
output_dir + "data/DSS_compare_spec_mavg_" + i + ".js", 'w')
print >> fs_davg[
i], """/* Comparison Output File Generated on : %s */""" % (str(
Date()))
print >> fs_dmax[
i], """/* Comparison Output File Generated on : %s */""" % (str(
Date()))
print >> fs_dmin[
i], """/* Comparison Output File Generated on : %s */""" % (str(
Date()))
print >> fs_mavg[
i], """/* Comparison Output File Generated on : %s */""" % (str(
Date()))
dataIndex['spec_davg_' + i] = 0
dataIndex['spec_dmax_' + i] = 0
dataIndex['spec_dmin_' + i] = 0
dataIndex['spec_mavg_' + i] = 0
js_data.write_begin_data_array(fs_davg[i])
js_data.write_begin_data_array(fs_dmax[i])
js_data.write_begin_data_array(fs_dmin[i])
js_data.write_begin_data_array(fs_mavg[i])
if globals['PLOT_ORIGINAL_TIME_INTERVAL'] == 'ON':
fs_orig[i] = open(
output_dir + "data/DSS_compare_spec_orig_" + i + ".js", 'w')
print >> fs_orig[
i], """/* Comparison Output File Generated on : %s */""" % (
str(Date()))
dataIndex['spec_orig_' + i] = 0
js_data.write_begin_data_array(fs_orig[i])
js_data_list.write_begin_data_array(fl)
wy_types = ['W', 'AN', 'BN', 'D', 'C']
if globals['DONOT_SORT_STATION_NAME'] == 'OFF':
output_values = compare_dss_utils.sort_alphabetically(output_values)
refname = compare_dss_utils.sort_alphabetically(refname)
else:
refname = compare_dss_utils.get_not_sort_refname(
refname, output_values)
for name in refname:
ref0 = None
ref1 = None
ref2 = None
try:
series_name = compare_dss_utils.get_series_name(
compare_mode, scalars, refvar[name])
except Exception, e:
logging.error("Error building name for :%s and error is %s" %
(name, e))
continue
if (globals['CALCULATE_SPECIFIED_RMSE_ONLY']
== 'OFF') or (globals['CALCULATE_SPECIFIED_RMSE_ONLY'] == 'ON'
and name in output_values):
conti = 0
str_refvar = compare_dss_utils.get_str_refvar(
refvar[name], compare_mode)
if compare_mode == '1' or compare_mode == '4' or compare_mode == '5':
try:
if refvar[name][0][4] == '0': dss_group = dss_group0
if refvar[name][0][4] == '1': dss_group = dss_group1
if refvar[name][0][4] == '2': dss_group = dss_group2
ref0 = compare_dss_utils.get_ref(dss_group,
refvar[name][0])
p = ref0.pathname
intv, var_name, data_units, data_type = compare_dss_utils.get_prop_of_ref(
ref0)
except:
print "**** Can't find matched time series for " + name + " ****"
conti = 1
if compare_mode == '3' or compare_mode == '5':
try:
if refvar[name][2][4] == '0': dss_group = dss_group0
if refvar[name][2][4] == '1': dss_group = dss_group1
if refvar[name][2][4] == '2': dss_group = dss_group2
ref2 = compare_dss_utils.get_ref(dss_group,
refvar[name][2])
p = ref2.pathname
intv, var_name, data_units, data_type = compare_dss_utils.get_prop_of_ref(
ref2)
except:
print "**** Can't find matched time series for " + name + " ****"
conti = 1
if compare_mode == '2' or compare_mode == '3' or compare_mode == '4' or compare_mode == '5':
try:
if refvar[name][1][4] == '0': dss_group = dss_group0
if refvar[name][1][4] == '1': dss_group = dss_group1
if refvar[name][1][4] == '2': dss_group = dss_group2
ref1 = compare_dss_utils.get_ref(dss_group,
refvar[name][1])
p = ref1.pathname
intv, var_name, data_units, data_type = compare_dss_utils.get_prop_of_ref(
ref1)
except:
print "**** Can't find matched time series for " + name + " ****"
conti = 1
if conti == 0:
cpart = p.getPart(p.C_PART).encode('ascii')
if name in output_values:
ref0_davg = None
ref0_dmax = None
ref0_dmin = None
ref0_mavg = None
ref1_davg = None
ref1_dmax = None
ref1_dmin = None
ref1_mavg = None
ref2_davg = None
ref2_dmax = None
ref2_dmin = None
ref2_mavg = None
if intv < 1000:
dataIndex['spec_davg_' +
cpart] = dataIndex['spec_davg_' + cpart] + 1
dataIndex['spec_dmax_' +
cpart] = dataIndex['spec_dmax_' + cpart] + 1
dataIndex['spec_dmin_' +
cpart] = dataIndex['spec_dmin_' + cpart] + 1
if dataIndex['spec_davg_' + cpart] > 1:
fs_davg[cpart].write(",")
if dataIndex['spec_dmax_' + cpart] > 1:
fs_dmax[cpart].write(",")
if dataIndex['spec_dmin_' + cpart] > 1:
fs_dmin[cpart].write(",")
if compare_mode == '1' or compare_mode == '4' or compare_mode == '5':
ref0_godin = vtimeseries.godin(ref0)
ref0_davg = vtimeseries.per_avg(ref0_godin, '1day')
ref0_dmax = vtimeseries.per_max(ref0, '1day')
ref0_dmin = vtimeseries.per_min(ref0, '1day')
if compare_mode == '2' or compare_mode == '3' or compare_mode == '4' or compare_mode == '5':
ref1_godin = vtimeseries.godin(ref1)
ref1_davg = vtimeseries.per_avg(ref1_godin, '1day')
ref1_dmax = vtimeseries.per_max(ref1, '1day')
ref1_dmin = vtimeseries.per_min(ref1, '1day')
if compare_mode == '3' or compare_mode == '5':
ref2_godin = vtimeseries.godin(ref2)
ref2_davg = vtimeseries.per_avg(ref2_godin, '1day')
ref2_dmax = vtimeseries.per_max(ref2, '1day')
ref2_dmin = vtimeseries.per_min(ref2, '1day')
write_plot_data(
fs_davg[cpart], compare_mode, name, str_refvar,
compare_dss_utils.build_data_array(
ref0_davg, ref1_davg,
ref2_davg), dataIndex['spec_davg_' + cpart],
"%s" % var_name, series_name,
"%s (%s)" % (data_type, data_units), "Time",
PlotType.TIME_SERIES, cpart, 'Daily Average')
write_plot_data(
fs_dmax[cpart], compare_mode, name, str_refvar,
compare_dss_utils.build_data_array(
ref0_dmax, ref1_dmax,
ref2_dmax), dataIndex['spec_dmax_' + cpart],
"%s" % var_name, series_name,
"%s (%s)" % (data_type, data_units), "Time",
PlotType.TIME_SERIES, cpart, 'Daily Maximum')
write_plot_data(
fs_dmin[cpart], compare_mode, name, str_refvar,
compare_dss_utils.build_data_array(
ref0_dmin, ref1_dmin,
ref2_dmin), dataIndex['spec_dmin_' + cpart],
"%s" % var_name, series_name,
"%s (%s)" % (data_type, data_units), "Time",
PlotType.TIME_SERIES, cpart, 'Daily Minimum')
elif globals['DEFAULT_TIME_INTERVAL'] == '1DAY':
ref0_davg = ref0
ref0_dmax = ref0
ref0_dmin = ref0
ref1_davg = ref1
ref1_dmax = ref1
ref1_dmin = ref1
ref2_davg = ref2
ref2_dmax = ref2
ref2_dmin = ref2
elif globals['DEFAULT_TIME_INTERVAL'] == '1MON':
ref2_mavg = ref2
ref2_mmax = ref2
ref2_mmin = ref2
if globals['PLOT_ORIGINAL_TIME_INTERVAL'] == 'ON':
dataIndex['spec_orig_' +
cpart] = dataIndex['spec_orig_' + cpart] + 1
if dataIndex['spec_orig_' + cpart] > 1:
fs_orig[cpart].write(",")
write_plot_data(
fs_orig[cpart], compare_mode, name, str_refvar,
compare_dss_utils.build_data_array(
ref0, ref1, ref2),
dataIndex['spec_orig_' + cpart], "%s" % var_name,
series_name, "%s (%s)" % (data_type, data_units),
"Time", PlotType.TIME_SERIES, cpart,
'Original Time Interval')
if intv < 40000:
dataIndex['spec_mavg_' +
cpart] = dataIndex['spec_mavg_' + cpart] + 1
if dataIndex['spec_mavg_' + cpart] > 1:
fs_mavg[cpart].write(",")
if compare_mode == '1' or compare_mode == '4' or compare_mode == '5':
ref0_mavg = vtimeseries.per_avg(ref0, '1month')
if compare_mode == '2' or compare_mode == '3' or compare_mode == '4' or compare_mode == '5':
ref1_mavg = vtimeseries.per_avg(ref1, '1month')
if compare_mode == '3' or compare_mode == '5':
ref2_mavg = vtimeseries.per_avg(ref2, '1month')
write_plot_data(
fs_mavg[cpart], compare_mode, name, str_refvar,
compare_dss_utils.build_data_array(
ref0_mavg, ref1_mavg,
ref2_mavg), dataIndex['spec_mavg_' + cpart],
"%s" % var_name, series_name,
"%s (%s)" % (data_type, data_units), "Time",
PlotType.TIME_SERIES, cpart, 'Monthly Average')
if (globals['CALCULATE_SPECIFIED_RMSE_ONLY']
== 'OFF') or (globals['CALCULATE_SPECIFIED_RMSE_ONLY']
== 'ON' and name in output_values):
diff_arr = []
if compare_mode == '3' or compare_mode == '4' or compare_mode == '5':
for i in range(len(tws)):
if compare_mode == '3':
rmse_val = vdiff.rmse(ref1, ref2, tws[i],
time_interval)
perc_rmse_val = vdiff.perc_rmse(
ref1, ref2, tws[i], time_interval)
diff_arr.append([perc_rmse_val, rmse_val])
if compare_mode == '4':
rmse_val = vdiff.rmse(ref0, ref1, tws[i],
time_interval)
perc_rmse_val = vdiff.perc_rmse(
ref0, ref1, tws[i], time_interval)
diff_arr.append([perc_rmse_val, rmse_val])
if compare_mode == '5':
rmse_val = vdiff.rmse(ref0, ref1, tws[i],
time_interval)
perc_rmse_val = vdiff.perc_rmse(
ref0, ref1, tws[i], time_interval)
rmse_val2 = vdiff.rmse(ref0, ref2, tws[i],
time_interval)
perc_rmse_val2 = vdiff.perc_rmse(
ref0, ref2, tws[i], time_interval)
diff_arr.append([
perc_rmse_val, rmse_val, perc_rmse_val2,
rmse_val2
])
for w in wy_types:
if compare_mode == '3':
diff_arr.append([
vdiff.rmse_discrete_tws(
ref1, ref2, wyt_arr[w], 0),
vdiff.rmse_discrete_tws(
ref1, ref2, wyt_arr[w], 1)
])
if compare_mode == '4':
diff_arr.append([
vdiff.rmse_discrete_tws(
ref0, ref1, wyt_arr[w], 0),
vdiff.rmse_discrete_tws(
ref0, ref1, wyt_arr[w], 1)
])
if compare_mode == '5':
diff_arr.append([
vdiff.rmse_discrete_tws(
ref0, ref1, wyt_arr[w], 0),
vdiff.rmse_discrete_tws(
ref0, ref1, wyt_arr[w], 1),
vdiff.rmse_discrete_tws(
ref0, ref2, wyt_arr[w], 0),
vdiff.rmse_discrete_tws(
ref0, ref2, wyt_arr[w], 1)
])
latlng = compare_dss_utils.get_latlng(
tbl_latlng, p.getPart(p.B_PART))
if globals['CALCULATE_SPECIFIED_RMSE_ONLY'] == 'OFF':
logging.debug('Working on index: %d/%d ' %
(dIndex + 1, len(refname)))
else:
logging.debug('Working on index: %d/%d ' %
(dIndex + 1, len(output_values)))
dIndex = dIndex + 1
if latlng == None:
latlng = ['nan', 'nan', 'nan', 'nan']
print "can't find the Lat/Lng for ", p.getPart(
p.B_PART)
if dIndex > 1:
fl.write(",")
if name in output_values:
write_list_data(fl, name, str_refvar,
p.getPart(p.B_PART), cpart, 1,
diff_arr, latlng)
else:
write_list_data(fl, name, str_refvar,
p.getPart(p.B_PART), cpart, 0,
diff_arr, latlng)
else:
logging.debug("*** Please verify the path for " + name +
" ***")
def write_summary_table(fh, dss_group1, dss_group2, globals, scalars,
tw_values, var_values, output_values):
compare_mode = globals['COMPARE_MODE']
if compare_mode == '1':
print >> fh, "<h1><center>Observation Time Series Report<br>Data Set: %s </center></h1>" % (
scalars['NAME0'])
if compare_mode == '2':
print >> fh, "<h1><center>Model Output Time Series Report<br>Study Name: %s </center></h1>" % (
scalars['NAME1'])
if compare_mode == '3':
print >> fh, "<h1><center>DSM2 Output Comparison Report<br> %s <n>vs</n> %s</center></h1>" % (
scalars['NAME1'], scalars['NAME2'])
if compare_mode == '4':
print >> fh, "<h1><center>Calibration Report<br> %s <n>vs</n> %s</center></h1>" % (
scalars['NAME1'], scalars['NAME0'])
if compare_mode == '5':
print >> fh, "<h1><center>Calibration Report<br>[ %s <n>vs</n> %s ] <n> & </n> [ %s <n>vs</n> %s ]</center></h1>" % (
scalars['NAME1'], scalars['NAME0'], scalars['NAME2'],
scalars['NAME0'])
print >> fh, '<div id="note">Note: %s</div>' % (scalars['NOTE'].replace(
'"', ''))
print >> fh, '<div id="assumptions">Assumptions: %s</div>' % (
scalars['ASSUMPTIONS'].replace('"', ''))
print >> fh, """<div id="control-panel">
<form>
Data Conversion for Plot: <select name="datatype" onChange="change_period()" id="data-conversion">
<option value="davg"> Daily Average</option>
<option value="dmax"> Daily Maximum</option>
<option value="dmin"> Daily Minimim</option>
<option value="mavg"> Monthly Average</option>
"""
if globals['PLOT_ORIGINAL_TIME_INTERVAL'] == 'ON':
print >> fh, '<option value="orig">Original Data</option>'
print >> fh, """
</select><br>
Use Defined Time Window: <select name="tw" id="time-window-select">
"""
for i in range(len(tw_values)):
if i == 0:
selected = 'selected="selected"'
else:
selected = ""
print >> fh, '<option value="%s" %s>%s</option>' % (
compare_dss_utils.timewindow_option_value(
vtimeseries.timewindow(tw_values[i][1].replace(
'"', ''))), selected, tw_values[i][0].replace('"', ''))
print >> fh, """
</select>
<div>
Customize Time Window:
"""
twstr = compare_dss_utils.timewindow_option_value(
vtimeseries.timewindow(tw_values[0][1].replace('"', ''))).split("-")
a1 = twstr[0].split(",")
a2 = twstr[1].split(",")
print >> fh, """Start Date: <input name="SDate" id="SDate" value="%s" onclick="displayDatePicker('SDate');" size=12>""" % (
a1[1] + "/" + a1[2] + "/" + a1[0])
print >> fh, """End Date: <input name="EDate" id="EDate" value="%s" onclick="displayDatePicker('EDate');" size=12>""" % (
a2[1] + "/" + a2[2] + "/" + a2[0])
print >> fh, """
<input type=button id="calendar" value="Re-draw">
</div>
"""
if (compare_mode != '1' and compare_mode != '2'):
print >> fh, '<div>'
print >> fh, 'Show differences on plot:<input type="checkbox" name="diff_plot" value="1"/>   (Difference = %s - %s)' % (
scalars['NAME2'], scalars['NAME1'])
print >> fh, '</div>'
print >> fh, """
<div>
Show water year types on plot: <input type="checkbox" name="wyt" value="1"/>  (<span style="font-size:100%"><span style="background-color:#D9F7CC">    Wet   </span><span style="background-color:#EBF7E6">   Above Normal  </span><span style="background-color:#F7F8F7">  Below Normal  </span><span style="background-color:#FBEEF3">    Dry    </span><span style="background-color:#FFDFEC">   Critical   </span></span>)
</div>
"""
if (compare_mode != '1' and compare_mode != '2'):
print >> fh, """
<div>
Threshold value to highlight percentage differences
<input type="text" id="threshold" value="50"/>
</div>
<div>
Table Statistics: <select name="stat" id="stat" onChange="">
<option value=0>Percentage RMS Diff</option><option value=1>RMS Diff</option>
</select>
</div>
"""
print >> fh, """
<div id="warning" style="color:red;font-weight:bold"></div>
<input type="hidden" name="ta" id="ta" value="">
</form>
</div>"""
time_windows = map(lambda val: val[1].replace('"', ''), tw_values)
tws = map(lambda x: vtimeseries.timewindow(x), time_windows)
print >> fh, '<div class="tabber">'
if globals['CALCULATE_SPECIFIED_RMSE_ONLY'] == 'ON':
part_c = compare_dss_utils.get_cpart_from_spec(var_values,
output_values)
else:
part_c = compare_dss_utils.get_cpart_list(dss_group1)
for type_item in part_c:
print >> fh, '<div class="tabbertab" id="%s"><h2>%s</h2><p id="%s_p">' % (
type_item, type_item, type_item)
print >> fh, '</p></div>'
print >> fh, '</div>'
print >> fh, '<br><center><font style="font-family:arial,verdana,sans-serif;">Copyright © 2010 State of California, Department of Water Resources<br>Last Modified: 1/25/2011</font></center>'
return tws
mode: "overlay",
node: "prompt"
});
return false;
}
window.attachEvent("onload", install_gcf);
</script>
<![endif]-->
""" % (scalars['NAME1'], scalars['NAME2'], initial_js, initial_pretab)
tws = write_summary_table(fh, dss_group1, dss_group2, globals, scalars,
tw_values, var_values, output_values)
if globals['CALCULATE_SPECIFIED_RMSE_ONLY'] == 'ON':
part_c = compare_dss_utils.get_cpart_from_spec(var_values,
output_values)
else:
part_c = compare_dss_utils.get_cpart_list(dss_group1)
dt_arr = "dt_arr=["
peri_name = "period_name=["
peri_range = "period_range=["
for type_item in part_c:
dt_arr += "'" + type_item + "',"
for i in range(len(tws)):
peri_name += '"' + tw_values[i][0].replace('"', '') + '",'
for tw in tws:
peri_range += '"' + compare_dss_utils.format_timewindow(tw) + '",'
print >> fh, '<script type="text/javascript">' + dt_arr + "];"
print >> fh, peri_name + "];"
print >> fh, peri_range + "]; </script>"
write_js_block(fh, globals, scalars)
fh.close()
#fireup(output_dir+scalars['OUTFILE'])
