Mercurial > dive4elements > river

annotate artifacts/doc/datacage.txt @ 8748:36d7bda0b47a

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(issue1788) Fix area split if there are no NaN's in the data The split algorithmn splits in a way that it always creates at least two datasets. One before the NaN, one after the NaN. This is broken in case the dataset does not contain any NaN value as it resulted in two identical datasets. This changed the display and resulted in a broken area calculation. I've also added some commented out debug code that was helpful tracking down this problem.
author Andre Heinecke <andre.heinecke@intevation.de>
date Mon, 08 Jun 2015 16:53:54 +0200
parents 806fa23dffb3
children
rev   line source
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1 This document describes how the datacage configuration works, from a user
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2 perspective. Some rather technical details are omitted and mechanisms
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3 simplified.
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4
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5 The datacages behaviour is defined in the file conf/meta-data.xml .
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6
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7 The datacage serves two purposes.
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8 It handles automatic 'recommendations', which are instructions
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9 sent by the client to add newly created artifacts to the collection.
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10 From a user perspective, these artifacts mainly represent curves or data
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11 points in the resulting diagrams.
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12 The second task is to let the user add already existing artifacts (i.e.
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13 previous calculations) or new artifacts with access to related data.
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14
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15 Irrelevant of the type of elements (recommendations or user picked data) the
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16 datacage can iterate over possible artifacts by accessing its own database.
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17 Thus, to create a list of matching entries, database queries are used.
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18
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19 In meta-data.xml, database queries are defined as <dc:statement> elements,
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20 for example
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21 <dc:statement>
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22 SELECT id AS prot_id,
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23 description AS prot_description
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24 FROM wsts WHERE kind = 1 AND river_id = ${river_id}
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25 </dc:statement>
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26
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27 As can be seen from the example, the datacage configuration file can maintain
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28 its own stack of variables (${river_id} in above example).
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29
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30 The database query will usually deliver one or many results, over which is
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31 iterated using the <dc:elements> elements.
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32
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33 Information from this results can be used for two goals.
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34 It can be taken as output, in which
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35 case the client will either request the creation of these artifacts (considering
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36 recommendations), or shown by the client in a the 'datacage widget',
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37 the graphical representation of data which can be added in the current
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38 context. The later is seen when the user clicks on the Datacage button in
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39 a diagram.
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40 Or information can be used to feed a second (or third...) database query.
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41 Following above example:
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42
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43 <dc:statement>
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44 SELECT id AS prot_id,
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45 description AS prot_description
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46 FROM wsts WHERE kind = 1 AND river_id = ${river_id}
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47 </dc:statement>
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48 <dc:elements>
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49 <additional>
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50 <dc:attribute name="name" value="${prot_description}"/>
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51 <dc:context>
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52 <dc:statement>
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53 SELECT id AS prot_column_id,
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54 name AS prot_column_name,
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55 position AS prot_rel_pos
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56 FROM wst_columns WHERE wst_id = ${prot_id}
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57 ORDER by position
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58 </dc:statement>
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59 <!-- ... -->
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60
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61 In both cases, an <dc:elements> element makes database queries available.
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62 Also
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63 note how the variables are defined in the first query and reused in the second
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64 query (${prot_it}).
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65
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66 Any alement not prefixed with "dc" represents a (sub-) node in the resulting
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67 tree. The client will display these nodes and maybe subnodes in the datacage
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68 widget - <additional> in above example. The elements name is translated by
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69 the client.
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70
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71 While iterating the final results, <dc:attributes> have to be specified
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72 to define how the artifact is to be created.
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73
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74 <dc:elements>
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75 <column>
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76 <dc:attribute name="name" value="${prot_column_name}"/>
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77 <dc:attribute name="ids" value="additionals-wstv-${prot_rel_pos}-${prot_id}"/>
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78 <dc:attribute name="factory" value="staticwkms"/>
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79 </column>
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80 </dc:elements>
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81
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82 The "name" attribute is what is to be displayed in the client, the "ids" are given
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83 to the server and pass important information about the chosen data.
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84 The "factory" is chosen according to the type of data displayed.
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85
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86 So far, three other elements have not yet been mentioned: <dc:comment>,
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87 <dc:if> and the <dc:when><dc:otherwise> structure.
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88 <dc:comment> is an element to allow comments. Choose these over standard
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89 <!-- --> xml comments, because they are not transferred to the client.
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90 <dc:if> and <dc:when> allow control (rather: definition) flow within
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91 the configuration and work in analogy to the XSL-elements <xsl:if>
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92 and <xsl:when>.
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93
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94 When dealing with the behaviour specification of the datacage, multiple
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95 interpretations for the term "context" are possible.
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96 A <dc:context> element essentially means a database binding. Thus each
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97 query (<dc:statement>) needs to be nested in its own context.
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98 Furthermore, two types of databases with own bindings exist:
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99 The "system" (default for <dc:context>, <dc:context connection="system">)
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100 context allows queries related to the backend database with existing
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101 data (e.g. measurements).
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102 The "user" context (<dc:context connection="user">) allows queries against
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103 the database which stores information about already existing artifacts and
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104 calculations.
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105
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106 Another connotation for the term "context" is the situation from which
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107 the datacage is queried. The standard case is a from the datacage widget.
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108 When the user opens the datacage from the graphical client, this is done
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109 from one of possible multiple diagrams.
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110 When the datacage is queried, it gets as an argument the "out" of
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111 the current artifact. The out corresponds to the diagram type.
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112
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113 For example the inner block of
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114
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115 <dc:if test="dc:contains($artifact-outs, 'longitudinal_section')">
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116 <longitudinal_section>
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117 <dc:call-macro name="annotations"/>
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118 </longitudinal_section>
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119 </dc:if>
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120
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121 will only be executed if called from the datacage within a
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122 longitudinal_section diagram.
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123
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124 In the given example another concept of the datacage configuration is
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125 encountered: Macros.
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126
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127 Macros help to avoid duplication of parts of the document. As the datacage
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128 of some diagrams should include the same type of data, the same query should
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129 be executed in multiple situations.
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130
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131 Therefore a macro can be defined, like in
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132
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133 <dc:macro name="basedata_4_heightmarks-wq">
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134 <heightmarks>
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135 <dc:context>
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136 <dc:statement>
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137 SELECT id AS prot_id,
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138 description AS prot_description
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139 FROM wsts WHERE kind = 4 AND river_id = ${river_id}
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140 </dc:statement>
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141 <dc:elements>
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142 <!-- ... -->
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143 </dc:macro>
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144
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145 and invoked from another location within the document, e.g. with
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146
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147 <dc:call-macro name="basedata_4_heightmarks"/>
6082
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148
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149 Debugging Tips:
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150 - You can send a message to the Log (log level info) during the evaluation
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151 of the datacage by using the <dc:message> element.
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152 For example to activate a basic macro tracing you could do something like:
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153 %s@\(<dc:macro name="\)\(.*\)\(".*>\)@\1\2\3\r<dc:message>\2</dc:message>
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154 - To dump the variables that are currently on the stack you can use the
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155 dc:dump-variables() fuction.
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156 For example:
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157 <dc:message>{dc:dump-variables()}</dc:message>
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