Mercurial > dive4elements > river

annotate artifacts/doc/datacage.txt @ 9751:308a0d822d18 3.2.x

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Keep configuration and data in distinct directories This allows having distinct volumes for configuration and data (artifact database, generated mapfiles and shapefiles, etc.). While at it, cleanup MapServer configuration a little bit.
author Tom Gottfried <tom@intevation.de>
date Tue, 11 Oct 2022 11:42:09 +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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