1#!/usr/local/bin/python 

2# encoding: utf-8 

3""" 

4*The classification block for the object ticket* 

5 

6:Author: 

7 David Young 

8""" 

9import sys 

10import os 

11import re 

12import datetime 

13from fundamentals import times 

14import khufu 

15from marshall_webapp.templates.commonelements import commonutils as cu 

16 

17def classification_block( 

18 log, 

19 request, 

20 discoveryDataDictionary): 

21 """get ticket classification block 

22 

23 **Key Arguments** 

24 

25 - ``log`` -- logger 

26 - ``request`` -- the pyramid request 

27 - ``discoveryDataDictionary`` -- a dictionary of the discovery data for this transient. 

28  

29 

30 **Return** 

31 

32 - ``classification_block`` -- the ticket identity block for the pesssto object 

33  

34 """ 

35 log.debug('starting the ``classification_block`` function') 

36 

37 if not discoveryDataDictionary["recentClassification"]: 

38 return None 

39 

40 title = cu.block_title( 

41 log, 

42 title="spectral classification" 

43 ) 

44 

45 # classification 

46 label = cu.little_label( 

47 text="classification:", 

48 ) 

49 

50 if len(discoveryDataDictionary["recentClassification"]) and discoveryDataDictionary["recentClassification"][0] == "I": 

51 discoveryDataDictionary["recentClassification"] = "SN " + \ 

52 discoveryDataDictionary["recentClassification"] 

53 text = khufu.coloredText( 

54 text=discoveryDataDictionary["recentClassification"], 

55 color="magenta", 

56 size=6 

57 ) 

58 spectralType = khufu.grid_row( 

59 responsive=True, 

60 columns="""%s %s""" % (label, text,), 

61 ) 

62 

63 # classifcation survey 

64 label = cu.little_label( 

65 text="classifcation survey:", 

66 ) 

67 text = khufu.coloredText( 

68 text=discoveryDataDictionary["classificationSurvey"], 

69 color="green", 

70 size=5 

71 ) 

72 classificationSurvey = khufu.grid_row( 

73 responsive=True, 

74 columns="""%s %s""" % (label, text,), 

75 ) 

76 

77 # classification date 

78 label = cu.little_label( 

79 text="classification date:", 

80 ) 

81 text = khufu.coloredText( 

82 text=str(discoveryDataDictionary["classificationDate"])[0:10], 

83 color="orange", 

84 size=4 

85 ) 

86 

87 daysPast = discoveryDataDictionary["classificationDate"] 

88 if daysPast: 

89 

90 daysPast = times.datetime_relative_to_now(daysPast)[1:] 

91 if "just" not in daysPast: 

92 daysPast = daysPast[1:] 

93 if daysPast[-1] == "d": 

94 daysPast = "(%s days ago)" % (daysPast[0:-1],) 

95 elif "just" not in daysPast: 

96 daysPast = "(+%s)" % (daysPast,) 

97 else: 

98 daysPast = "(%s)" % (daysPast,) 

99 daysPast = khufu.coloredText( 

100 text="<br>&nbsp&nbsp&nbsp&nbsp&nbsp&nbsp&nbsp&nbsp%(daysPast)s" % locals( 

101 ), 

102 color="violet" 

103 ) 

104 else: 

105 daysPast = "" 

106 classificationDate = khufu.grid_row( 

107 responsive=True, 

108 columns="""%s %s %s""" % (label, text, daysPast), 

109 ) 

110 

111 # classifcation survey 

112 label = cu.little_label( 

113 text="classification phase:", 

114 ) 

115 classificationWRTMax = discoveryDataDictionary["classificationWRTMax"] 

116 classificationPhase = discoveryDataDictionary["classificationPhase"] 

117 

118 if classificationWRTMax is None: 

119 classificationWRTMax = "not set" 

120 

121 if classificationPhase: 

122 if classificationWRTMax == "pre-max": 

123 classificationWRTMax = "-%(classificationPhase)sd" % locals() 

124 elif classificationWRTMax == "post-max": 

125 classificationWRTMax = "+%(classificationPhase)sd" % locals() 

126 classificationWRTMax = "&nbsp&nbsp%(classificationWRTMax)s" % locals() 

127 

128 if "unknown" in classificationWRTMax: 

129 size = 4 

130 else: 

131 size = 5 

132 text = khufu.coloredText( 

133 text="""%(classificationWRTMax)s""" % locals(), 

134 color="blue", 

135 size=size 

136 ) 

137 classificationPhase = khufu.grid_row( 

138 responsive=True, 

139 columns="""%s %s""" % (label, text,), 

140 ) 

141 

142 # redshift 

143 label = cu.little_label( 

144 text="redshift:", 

145 ) 

146 

147 redshift = "" 

148 if discoveryDataDictionary["best_redshift"]: 

149 text = khufu.coloredText( 

150 text="%6.4f" % (discoveryDataDictionary["best_redshift"]), 

151 color="yellow", 

152 size=6 

153 ) 

154 else: 

155 text = khufu.coloredText( 

156 text="unknown", 

157 color="yellow", 

158 size=4 

159 ) 

160 redshift = khufu.grid_row( 

161 responsive=True, 

162 columns="""%s %s""" % (label, text,), 

163 ) 

164 

165 # distance 

166 label = cu.little_label( 

167 text="distance:", 

168 ) 

169 

170 distanceMpc = "" 

171 if discoveryDataDictionary["distanceMpc"]: 

172 text = khufu.coloredText( 

173 text="%10.2f Mpc" % (discoveryDataDictionary["distanceMpc"]), 

174 color="blue", 

175 size=6 

176 ) 

177 distanceMpc = khufu.grid_row( 

178 responsive=True, 

179 columns="""%s %s""" % (label, text,), 

180 ) 

181 

182 return "%(title)s %(spectralType)s %(classificationSurvey)s %(classificationDate)s %(classificationPhase)s %(redshift)s %(distanceMpc)s" % locals()