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author | Felix Wolfsteller <felix.wolfsteller@intevation.de> |
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date | Thu, 05 Jul 2012 19:23:52 +0000 |
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1 \section{Configuration of the Datacage} | |
2 | |
3 \subsection{Tasks and Recommendation types of the datacage} | |
4 | |
5 The datacage serves two purposes. | |
6 It handles automatic 'recommendations', which are instructions | |
7 sent by the client to add newly created artifacts to the collection. | |
8 From a user perspective, these artifacts mainly represent curves or data | |
9 points in the resulting diagrams. | |
10 The second task is to let the user add already existing artifacts (i.e. | |
11 previous calculations) or new artifacts with access to related data. | |
12 | |
13 Irrelevant of the type of elements (recommendations or user picked data) the | |
14 datacage can iterate over possible artifacts by accessing its own database. | |
15 Thus, to create a list of matching entries, database queries are used. | |
16 | |
17 \subsection{Structure of the datacage configuration file meta-data.conf} | |
18 | |
19 The datacages behaviour is defined in the file conf/meta-data.xml . | |
20 | |
21 In meta-data.xml, database queries are defined as \verb!<dc:statement>! elements, | |
22 for example | |
23 \begin{lstlisting} | |
24 <dc:statement> | |
25 SELECT id AS prot_id, | |
26 description AS prot_description | |
27 FROM wsts WHERE kind = 1 AND river_id = ${river_id} | |
28 </dc:statement> | |
29 \end{lstlisting} | |
30 | |
31 As can be seen from the example, the datacage configuration file can maintain | |
32 its own stack of variables (\${river\_id} in above example). | |
33 | |
34 The database query will usually deliver one or many results, over which is | |
35 iterated using the \verb!<dc:elements>! elements. | |
36 | |
37 Information from this results can be used for two goals. | |
38 It can be taken as output, in which | |
39 case the client will either request the creation of these artifacts (considering | |
40 recommendations), or shown by the client in a the 'datacage widget', | |
41 the graphical representation of data which can be added in the current | |
42 context. The later is seen when the user clicks on the Datacage button in | |
43 a diagram. | |
44 Or information can be used to feed a second (or third...) database query. | |
45 Following above example: | |
46 | |
47 \begin{lstlisting} | |
48 <dc:statement> | |
49 SELECT id AS prot_id, | |
50 description AS prot_description | |
51 FROM wsts WHERE kind = 1 AND river_id = ${river_id} | |
52 </dc:statement> | |
53 <dc:elements> | |
54 <additional> | |
55 <dc:attribute name="name" value="${prot_description}"/> | |
56 <dc:context> | |
57 <dc:statement> | |
58 SELECT id AS prot_column_id, | |
59 name AS prot_column_name, | |
60 position AS prot_rel_pos | |
61 FROM wst_columns WHERE wst_id = ${prot_id} | |
62 ORDER by position | |
63 </dc:statement> | |
64 <!-- ... --> | |
65 \end{lstlisting} | |
66 | |
67 In both cases, an \verb!<dc:elements>! element makes database queries available. | |
68 Also | |
69 note how the variables are defined in the first query and reused in the second | |
70 query (\$\{prot\_it\}). | |
71 | |
72 Any alement not prefixed with "dc" represents a (sub-) node in the resulting | |
73 tree. The client will display these nodes and maybe subnodes in the datacage | |
74 widget - \verb!<additional>! in above example. The elements name is translated by | |
75 the client. | |
76 | |
77 While iterating the final results, \verb!<dc:attributes>! have to be specified | |
78 to define how the artifact is to be created. | |
79 | |
80 \begin{lstlisting} | |
81 <dc:elements> | |
82 <column> | |
83 <dc:attribute name="name" value="${prot_column_name}"/> | |
84 <dc:attribute name="ids" value="additionals-wstv-${prot_rel_pos}-${prot_id}"/> | |
85 <dc:attribute name="factory" value="staticwkms"/> | |
86 </column> | |
87 </dc:elements> | |
88 \end{lstlisting} | |
89 | |
90 The "name" attribute is what is to be displayed in the client, the "ids" are given | |
91 to the server and pass important information about the chosen data. | |
92 The "factory" is chosen according to the type of data displayed. | |
93 | |
94 So far, three other elements have not yet been mentioned: \verb!<dc:comment>!, | |
95 \verb!<dc:if>! and the \verb!<dc:when><dc:otherwise>! structure. | |
96 \verb!<dc:comment>! is an element to allow comments. Choose these over standard | |
97 \verb=<!-- -->= xml comments, because they are not transferred to the client. | |
98 \verb!<dc:if>! and \verb!<dc:when>! allow control (rather: definition) flow within | |
99 the configuration and work in analogy to the XSL-elements \verb!<xsl:if>! | |
100 and \verb!<xsl:when>!. | |
101 | |
102 When dealing with the behaviour specification of the datacage, multiple | |
103 interpretations for the term "context" are possible. | |
104 A \verb!<dc:context>! element essentially means a database binding. Thus each | |
105 query (\verb!<dc:statement>!) needs to be nested in its own context. | |
106 Furthermore, two types of databases with own bindings exist: | |
107 The "system" (default for \verb!<dc:context>!, \verb!<dc:context connection="system">!) | |
108 context allows queries related to the backend database with existing | |
109 data (e.g. measurements). | |
110 The "user" context (\verb!<dc:context connection="user">!) allows queries against | |
111 the database which stores information about already existing artifacts and | |
112 calculations. | |
113 | |
114 Another connotation for the term "context" is the situation from which | |
115 the datacage is queried. The standard case is a from the datacage widget. | |
116 When the user opens the datacage from the graphical client, this is done | |
117 from one of possible multiple diagrams. | |
118 When the datacage is queried, it gets as an argument the "out" of | |
119 the current artifact. The out corresponds to the diagram type. | |
120 | |
121 For example the inner block of | |
122 | |
123 \begin{lstlisting} | |
124 <dc:if test="dc:contains($artifact-outs, 'longitudinal_section')"> | |
125 <longitudinal_section> | |
126 <dc:call-macro name="annotations"/> | |
127 </longitudinal_section> | |
128 </dc:if> | |
129 \end{lstlisting} | |
130 | |
131 will only be executed if called from the datacage within a | |
132 longitudinal\_section diagram. | |
133 | |
134 In the given example another concept of the datacage configuration is | |
135 encountered: Macros. | |
136 | |
137 Macros help to avoid duplication of parts of the document. As the datacage | |
138 of some diagrams should include the same type of data, the same query should | |
139 be executed in multiple situations. | |
140 | |
141 Therefore a macro can be defined, like in | |
142 | |
143 \begin{lstlisting} | |
144 <dc:macro name="basedata_4_heightmarks-wq"> | |
145 <heightmarks> | |
146 <dc:context> | |
147 <dc:statement> | |
148 SELECT id AS prot_id, | |
149 description AS prot_description | |
150 FROM wsts WHERE kind = 4 AND river_id = ${river_id} | |
151 </dc:statement> | |
152 <dc:elements> | |
153 <!-- ... --> | |
154 </dc:macro> | |
155 \end{lstlisting} | |
156 | |
157 and invoked from another location within the document, e.g. with | |
158 | |
159 \begin{lstlisting} | |
160 | |
161 <dc:call-macro name="basedata_4_heightmarks"/> | |
162 \end{lstlisting} | |
163 . | |
164 |