Mercurial > dive4elements > river
comparison backend/src/main/java/org/dive4elements/river/importer/parsers/SedimentYieldParser.java @ 6723:796750499cd2
issue1393/SedimentYieldParser: set kind of SedimentYields
epending on import location.
| author | Felix Wolfsteller <felix.wolfsteller@intevation.de> |
|---|---|
| date | Wed, 31 Jul 2013 11:12:53 +0200 |
| parents | 1e2dfd91274d |
| children | 563f3793d334 |
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| 6722:078d56dffc8c | 6723:796750499cd2 |
|---|---|
| 246 * with respect to file location (offical epoch or not?) */ | 246 * with respect to file location (offical epoch or not?) */ |
| 247 private void initializeSedimentYields() { | 247 private void initializeSedimentYields() { |
| 248 // skip first column (Fluss-km) and last column (Hinweise) | 248 // skip first column (Fluss-km) and last column (Hinweise) |
| 249 current = new ImportSedimentYield[columnNames.length-2]; | 249 current = new ImportSedimentYield[columnNames.length-2]; |
| 250 | 250 |
| 251 Integer kind; | |
| 252 | |
| 253 if (inputFile.getAbsolutePath().contains("amtliche Epochen")) { | |
| 254 log.warn("is amtlichbamtlich"); | |
| 255 kind = new Integer(1); | |
| 256 } | |
| 257 else { | |
| 258 log.warn("is unamtlichbamtlich"); | |
| 259 kind = new Integer(0); | |
| 260 } | |
| 261 | |
| 251 for (int i = 0, n = columnNames.length; i < n-2; i++) { | 262 for (int i = 0, n = columnNames.length; i < n-2; i++) { |
| 252 current[i] = new ImportSedimentYield(this.description); | 263 current[i] = new ImportSedimentYield(this.description); |
| 253 current[i].setTimeInterval(getTimeInterval(columnNames[i+1])); | 264 current[i].setTimeInterval(getTimeInterval(columnNames[i+1])); |
| 254 current[i].setUnit(unit); | 265 current[i].setUnit(unit); |
| 255 current[i].setGrainFraction(grainFraction); | 266 current[i].setGrainFraction(grainFraction); |
| 267 current[i].setKind(kind); | |
| 256 } | 268 } |
| 257 } | 269 } |
| 258 | 270 |
| 259 | 271 |
| 260 private ImportTimeInterval getTimeInterval(String column) { | 272 private ImportTimeInterval getTimeInterval(String column) { |