feb35f0631182d3ce8762bd23773bb0ddc7cfaef
[jabaws.git] / webservices / compbio / ws / server / TcoffeeWS.java
1 /* Copyright (c) 2009 Peter Troshin\r
2  *  \r
3  *  JAva Bioinformatics Analysis Web Services (JABAWS) @version: 1.0\r
4  * \r
5  *  This library is free software; you can redistribute it and/or modify it under the terms of the\r
6  *  Apache License version 2 as published by the Apache Software Foundation\r
7  * \r
8  *  This library is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without\r
9  *  even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the Apache \r
10  *  License for more details.\r
11  * \r
12  *  A copy of the license is in apache_license.txt. It is also available here:\r
13  * @see: http://www.apache.org/licenses/LICENSE-2.0.txt\r
14  * \r
15  * Any republication or derived work distributed in source code form\r
16  * must include this copyright and license notice.\r
17  */\r
18 \r
19 package compbio.ws.server;\r
20 \r
21 import java.io.File;\r
22 import java.util.List;\r
23 \r
24 import javax.annotation.Resource;\r
25 import javax.jws.WebService;\r
26 import javax.xml.ws.WebServiceContext;\r
27 \r
28 import org.apache.log4j.Logger;\r
29 \r
30 import compbio.data.msa.MsaWS;\r
31 import compbio.data.sequence.Alignment;\r
32 import compbio.data.sequence.FastaSequence;\r
33 import compbio.engine.AsyncExecutor;\r
34 import compbio.engine.Configurator;\r
35 import compbio.engine.client.ConfiguredExecutable;\r
36 import compbio.engine.client.Executable;\r
37 import compbio.engine.client.SkeletalExecutable;\r
38 import compbio.metadata.ChunkHolder;\r
39 import compbio.metadata.JobStatus;\r
40 import compbio.metadata.JobSubmissionException;\r
41 import compbio.metadata.Limit;\r
42 import compbio.metadata.LimitsManager;\r
43 import compbio.metadata.Option;\r
44 import compbio.metadata.Preset;\r
45 import compbio.metadata.PresetManager;\r
46 import compbio.metadata.ResultNotAvailableException;\r
47 import compbio.metadata.RunnerConfig;\r
48 import compbio.metadata.WrongParameterException;\r
49 import compbio.runner.Util;\r
50 import compbio.runner.msa.Tcoffee;\r
51 \r
52 @WebService(endpointInterface = "compbio.data.msa.MsaWS", targetNamespace = "http://msa.data.compbio/01/01/2010/", serviceName = "TcoffeeWS")\r
53 public class TcoffeeWS implements MsaWS<Tcoffee> {\r
54 \r
55         // Ask for resource injection\r
56         @Resource\r
57         WebServiceContext wsContext;\r
58 \r
59         private static Logger statLog = Logger.getLogger("TcoffeeWS-stats");\r
60 \r
61         private static Logger log = Logger.getLogger(TcoffeeWS.class);\r
62 \r
63         private static final RunnerConfig<Tcoffee> tcoffeeOptions = Util\r
64                         .getSupportedOptions(Tcoffee.class);\r
65 \r
66         private static final PresetManager<Tcoffee> tcoffeePresets = Util\r
67                         .getPresets(Tcoffee.class);\r
68 \r
69         private static final LimitsManager<Tcoffee> limitMan = compbio.engine.client.Util\r
70                         .getLimits(new Tcoffee().getType());\r
71 \r
72         @Override\r
73         public String align(List<FastaSequence> sequences)\r
74                         throws JobSubmissionException {\r
75                 WSUtil.validateFastaInput(sequences);\r
76                 ConfiguredExecutable<Tcoffee> confTcoffee = init(sequences);\r
77                 return WSUtil\r
78                                 .align(sequences, confTcoffee, null, "align", getLimit(""));\r
79         }\r
80 \r
81         ConfiguredExecutable<Tcoffee> init(List<FastaSequence> sequences)\r
82                         throws JobSubmissionException {\r
83                 Tcoffee tcoffee = new Tcoffee();\r
84                 ConfiguredExecutable<Tcoffee> confCoffee = Configurator\r
85                                 .configureExecutable(tcoffee, sequences);\r
86                 if (confCoffee.getExecProvider() == Executable.ExecProvider.Cluster) {\r
87                         int clusterCpuNum = SkeletalExecutable\r
88                                         .getClusterCpuNum(Tcoffee.class);\r
89                         if (clusterCpuNum != 0) {\r
90                                 tcoffee.setNCore(clusterCpuNum);\r
91                         }\r
92                 }\r
93                 return confCoffee;\r
94         }\r
95 \r
96         @Override\r
97         public String customAlign(List<FastaSequence> sequences,\r
98                         List<Option<Tcoffee>> options) throws JobSubmissionException,\r
99                         WrongParameterException {\r
100 \r
101                 WSUtil.validateFastaInput(sequences);\r
102                 ConfiguredExecutable<Tcoffee> confTcoffee = init(sequences);\r
103                 List<String> params = WSUtil.getCommands(options,\r
104                                 Tcoffee.KEY_VALUE_SEPARATOR);\r
105                 log.info("Setting parameters:" + params);\r
106                 confTcoffee.addParameters(params);\r
107                 return WSUtil.align(sequences, confTcoffee, null, "customAlign",\r
108                                 getLimit(""));\r
109         }\r
110 \r
111         @Override\r
112         public String presetAlign(List<FastaSequence> sequences,\r
113                         Preset<Tcoffee> preset) throws JobSubmissionException,\r
114                         WrongParameterException {\r
115                 WSUtil.validateFastaInput(sequences);\r
116                 if (preset == null) {\r
117                         throw new WrongParameterException("Preset must be provided!");\r
118                 }\r
119                 ConfiguredExecutable<Tcoffee> confTcoffee = init(sequences);\r
120                 confTcoffee.addParameters(preset.getOptions());\r
121                 Limit<Tcoffee> limit = getLimit(preset.getName());\r
122                 return WSUtil.align(sequences, confTcoffee, null, "presetAlign", limit);\r
123         }\r
124 \r
125         @SuppressWarnings("unchecked")\r
126         @Override\r
127         public Alignment getResult(String jobId) throws ResultNotAvailableException {\r
128                 WSUtil.validateJobId(jobId);\r
129                 AsyncExecutor asyncEngine = Configurator.getAsyncEngine(jobId);\r
130                 ConfiguredExecutable<Tcoffee> tcoffee = (ConfiguredExecutable<Tcoffee>) asyncEngine\r
131                                 .getResults(jobId);\r
132                 Alignment al = tcoffee.getResults();\r
133                 // log(jobId, "getResults");\r
134                 return al;\r
135         }\r
136 \r
137         @Override\r
138         public Limit<Tcoffee> getLimit(String presetName) {\r
139                 if (limitMan == null) {\r
140                         // Limit is not defined\r
141                         return null;\r
142                 }\r
143                 return limitMan.getLimitByName(presetName);\r
144         }\r
145 \r
146         @Override\r
147         public LimitsManager<Tcoffee> getLimits() {\r
148                 return limitMan;\r
149         }\r
150 \r
151         @Override\r
152         public ChunkHolder pullExecStatistics(String jobId, long position) {\r
153                 WSUtil.validateJobId(jobId);\r
154                 String file = Configurator.getWorkDirectory(jobId) + File.separator\r
155                                 + new Tcoffee().getError();\r
156                 return WSUtil.pullFile(file, position);\r
157         }\r
158 \r
159         @Override\r
160         public boolean cancelJob(String jobId) {\r
161                 WSUtil.validateJobId(jobId);\r
162                 return WSUtil.cancelJob(jobId);\r
163         }\r
164 \r
165         @Override\r
166         public JobStatus getJobStatus(String jobId) {\r
167                 WSUtil.validateJobId(jobId);\r
168                 return WSUtil.getJobStatus(jobId);\r
169         }\r
170 \r
171         @Override\r
172         public PresetManager<Tcoffee> getPresets() {\r
173                 return tcoffeePresets;\r
174         }\r
175 \r
176         @Override\r
177         public RunnerConfig<Tcoffee> getRunnerOptions() {\r
178                 return tcoffeeOptions;\r
179         }\r
180 \r
181 }\r