Mercurial > dive4elements > river
annotate flys-artifacts/doc/datacage.txt @ 3101:b31397addf2f
Create Facets for each SQResult and SQFractionResult.
flys-artifacts/trunk@4700 c6561f87-3c4e-4783-a992-168aeb5c3f6f
author | Ingo Weinzierl <ingo.weinzierl@intevation.de> |
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date | Tue, 19 Jun 2012 12:25:01 +0000 |
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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"/> |
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148 . |