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CsvDataSourceTest.groovy
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CsvDataSourceTest.groovy
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/*
* © 2021. TU Dortmund University,
* Institute of Energy Systems, Energy Efficiency and Energy Economics,
* Research group Distribution grid planning and operation
*/
package edu.ie3.datamodel.io.source.csv
import edu.ie3.datamodel.io.naming.FileNamingStrategy
import edu.ie3.datamodel.models.UniqueEntity
import edu.ie3.datamodel.models.input.NodeInput
import edu.ie3.test.common.SystemParticipantTestData as sptd
import spock.lang.Shared
import spock.lang.Specification
import java.nio.file.Path
import java.util.concurrent.ConcurrentHashMap
import java.util.concurrent.atomic.LongAdder
import java.util.function.Function
import java.util.stream.Collectors
class CsvDataSourceTest extends Specification {
@Shared
Function<Map<String, String>, String> uuidExtractor = { fieldToValues -> fieldToValues.get("uuid") }
// Using a groovy bug to gain access to private methods in superclass:
// by default, we cannot access private methods with parameters from abstract parent classes, introducing a
// class that extends the abstract parent class and unveils the private methods by calling the parents private
// methods in a public or protected method makes them available for testing
private final class DummyCsvSource extends CsvDataSource {
DummyCsvSource(String csvSep, Path folderPath, FileNamingStrategy fileNamingStrategy) {
super(csvSep, folderPath, fileNamingStrategy)
}
Map<String, String> buildFieldsToAttributes(
final String csvRow, final String[] headline) {
return super.buildFieldsToAttributes(csvRow, headline)
}
def <T extends UniqueEntity> Set<Map<String, String>> distinctRowsWithLog(
Class<T> entityClass, Collection<Map<String, String>> allRows) {
return super.distinctRowsWithLog(allRows, uuidExtractor, entityClass.simpleName, "UUID")
}
String[] parseCsvRow(
String csvRow, String csvSep) {
return super.parseCsvRow(csvRow, csvSep)
}
String[] oldFieldVals(
String csvSep, String csvRow) {
return super.oldFieldVals(csvSep, csvRow)
}
}
@Shared
String csvSep = ","
@Shared
Path testBaseFolderPath = Path.of("testBaseFolderPath") // does not have to exist for this test
@Shared
FileNamingStrategy fileNamingStrategy = new FileNamingStrategy()
@Shared
DummyCsvSource dummyCsvSource = new DummyCsvSource(csvSep, testBaseFolderPath, fileNamingStrategy)
def "A DataSource should contain a valid connector after initialization"() {
expect:
dummyCsvSource.connector != null
dummyCsvSource.connector.baseDirectoryName == testBaseFolderPath
dummyCsvSource.connector.fileNamingStrategy == fileNamingStrategy
dummyCsvSource.connector.entityWriters.isEmpty()
}
def "A CsvDataSource should build a valid fields to attributes map with valid data as expected"() {
given:
def validHeadline = [
"uuid",
"active_power_gradient",
"capex",
"cosphi_rated",
"eta_conv",
"id",
"opex",
"s_rated",
"olmcharacteristic",
"cosPhiFixed"
] as String[]
def validCsvRow = "5ebd8f7e-dedb-4017-bb86-6373c4b68eb8,25.0,100.0,0.95,98.0,test_bmTypeInput,50.0,25.0,olm:{(0.0,1.0)},cosPhiFixed:{(0.0,1.0)}"
expect:
dummyCsvSource.buildFieldsToAttributes(validCsvRow, validHeadline) == [
activePowerGradient: "25.0",
capex : "100.0",
cosphiRated : "0.95",
etaConv : "98.0",
id : "test_bmTypeInput",
opex : "50.0",
sRated : "25.0",
uuid : "5ebd8f7e-dedb-4017-bb86-6373c4b68eb8",
olmcharacteristic : "olm:{(0.0,1.0)}",
cosPhiFixed : "cosPhiFixed:{(0.0,1.0)}"
]
}
def "A CsvDataSource should be able to handle deprecated invalid csvRows correctly"() {
expect:
dummyCsvSource.oldFieldVals(csvSep, csvRow) as List == resultingArray
where:
csvSep | csvRow || resultingArray
"," | "4ca90220-74c2-4369-9afa-a18bf068840d,{\"type\":\"Point\",\"coordinates\":[7.411111,51.492528],\"crs\":{\"type\":\"name\",\"properties\":{\"name\":\"EPSG:4326\"}}},node_a,2020-03-25T15:11:31Z[UTC],2020-03-24T15:11:31Z[UTC],8f9682df-0744-4b58-a122-f0dc730f6510,true,1,1.0,Höchstspannung,380.0,olm:{(0.00,1.00)},cosPhiP:{(0.0,1.0),(0.9,1.0),(1.2,-0.3)}" || [
"4ca90220-74c2-4369-9afa-a18bf068840d",
"{\"type\":\"Point\",\"coordinates\":[7.411111,51.492528],\"crs\":{\"type\":\"name\",\"properties\":{\"name\":\"EPSG:4326\"}}}",
"node_a",
"2020-03-25T15:11:31Z[UTC]",
"2020-03-24T15:11:31Z[UTC]",
"8f9682df-0744-4b58-a122-f0dc730f6510",
"true",
"1",
"1.0",
"Höchstspannung",
"380.0",
"olm:{(0.00,1.00)}",
"cosPhiP:{(0.0,1.0),(0.9,1.0),(1.2,-0.3)}"
]
"," | "\"4ca90220-74c2-4369-9afa-a18bf068840d\",\"{\"type\":\"Point\",\"coordinates\":[7.411111,51.492528],\"crs\":{\"type\":\"name\",\"properties\":{\"name\":\"EPSG:4326\"}}}\",\"node_a\",\"2020-03-25T15:11:31Z[UTC]\",\"2020-03-24T15:11:31Z[UTC]\",\"8f9682df-0744-4b58-a122-f0dc730f6510\",\"true\",\"1\",\"1.0\",\"Höchstspannung\",\"380.0\",\"olm:{(0.00,1.00)}\",\"cosPhiP:{(0.0,1.0),(0.9,1.0),(1.2,-0.3)}\"" || [
"4ca90220-74c2-4369-9afa-a18bf068840d",
"{\"type\":\"Point\",\"coordinates\":[7.411111,51.492528],\"crs\":{\"type\":\"name\",\"properties\":{\"name\":\"EPSG:4326\"}}}",
"node_a",
"2020-03-25T15:11:31Z[UTC]",
"2020-03-24T15:11:31Z[UTC]",
"8f9682df-0744-4b58-a122-f0dc730f6510",
"true",
"1",
"1.0",
"Höchstspannung",
"380.0",
"olm:{(0.00,1.00)}",
"cosPhiP:{(0.0,1.0),(0.9,1.0),(1.2,-0.3)}"
]
";" | "4ca90220-74c2-4369-9afa-a18bf068840d;cosPhiP:{(0.0,1.0),(0.9,1.0),(1.2,-0.3)};{\"type\":\"Point\",\"coordinates\":[7.411111,51.492528],\"crs\":{\"type\":\"name\",\"properties\":{\"name\":\"EPSG:4326\"}}};node_a;2020-03-25T15:11:31Z[UTC];2020-03-24T15:11:31Z[UTC];8f9682df-0744-4b58-a122-f0dc730f6510;true;1;1.0;Höchstspannung;380.0;olm:{(0.00,1.00)};cosPhiP:{(0.0,1.0),(0.9,1.0),(1.2,-0.3)}" || [
"4ca90220-74c2-4369-9afa-a18bf068840d",
"cosPhiP:{(0.0,1.0),(0.9,1.0),(1.2,-0.3)}",
"{(0.0,1.0),(0.9,1.0),(1.2,-0.3)};{\"type\":\"Point\",\"coordinates\":[7.411111,51.492528],\"crs\":{\"type\":\"name\",\"properties\":{\"name\":\"EPSG:4326\"}}}",
"node_a",
"2020-03-25T15:11:31Z[UTC]",
"2020-03-24T15:11:31Z[UTC]",
"8f9682df-0744-4b58-a122-f0dc730f6510",
"true",
"1",
"1.0",
"Höchstspannung",
"380.0",
"olm:{(0.00,1.00)}",
"cosPhiP:{(0.0,1.0),(0.9,1.0),(1.2,-0.3)}"
]
";" | "\"4ca90220-74c2-4369-9afa-a18bf068840d\";\"{\"type\":\"Point\",\"coordinates\":[7.411111,51.492528],\"crs\":{\"type\":\"name\",\"properties\":{\"name\":\"EPSG:4326\"}}}\";\"node_a\";\"2020-03-25T15:11:31Z[UTC]\";\"2020-03-24T15:11:31Z[UTC]\";\"8f9682df-0744-4b58-a122-f0dc730f6510\";\"true\";\"1\";\"1.0\";\"Höchstspannung\";\"380.0\";\"olm:{(0.00,1.00)}\";\"cosPhiP:{(0.0,1.0),(0.9,1.0),(1.2,-0.3)}\"" || [
"4ca90220-74c2-4369-9afa-a18bf068840d",
"{\"type\":\"Point\",\"coordinates\":[7.411111,51.492528],\"crs\":{\"type\":\"name\",\"properties\":{\"name\":\"EPSG:4326\"}}}",
"node_a",
"2020-03-25T15:11:31Z[UTC]",
"2020-03-24T15:11:31Z[UTC]",
"8f9682df-0744-4b58-a122-f0dc730f6510",
"true",
"1",
"1.0",
"Höchstspannung",
"380.0",
"olm:{(0.00,1.00)}",
"cosPhiP:{(0.0,1.0),(0.9,1.0),(1.2,-0.3)}"
]
"," | "66275bfd-978b-4974-9f73-f270165a6351,Standard,f18a5a9b-6d45-4843-be12-be6d12de0e6b,{\"type\":\"LineString\",\"coordinates\":[[7.4116482,51.4843281],[7.4116482,51.4843281]],\"crs\":{\"type\":\"name\",\"properties\":{\"name\":\"EPSG:4326\"}}},{\"type\":\"Point\",\"coordinates\":[0.25423729,0.75409836],\"crs\":{\"type\":\"name\",\"properties\":{\"name\":\"EPSG:0\"}}}\"" || [
"66275bfd-978b-4974-9f73-f270165a6351",
"Standard",
"f18a5a9b-6d45-4843-be12-be6d12de0e6b",
"{\"type\":\"LineString\",\"coordinates\":[[7.4116482,51.4843281],[7.4116482,51.4843281]],\"crs\":{\"type\":\"name\",\"properties\":{\"name\":\"EPSG:4326\"}}}",
"{\"type\":\"Point\",\"coordinates\":[0.25423729,0.75409836],\"crs\":{\"type\":\"name\",\"properties\":{\"name\":\"EPSG:0\"}}}"
]
"," | "4ca90220-74c2-4369-9afa-a18bf068840d,{\"\"type\"\":\"\"Point\"\",\"\"coordinates\"\":[7.411111,51.492528],\"\"crs\"\":{\"\"type\"\":\"\"name\"\",\"\"properties\"\":{\"\"name\"\":\"\"EPSG:4326\"\"}}},node_a,2020-03-25T15:11:31Z[UTC],2020-03-24T15:11:31Z[UTC],8f9682df-0744-4b58-a122-f0dc730f6510,true,1,1.0,Höchstspannung,380.0,\"olm:{(0.00,1.00)}\",\"cosPhiP:{(0.0,1.0),(0.9,1.0),(1.2,-0.3)}\"" || [
"4ca90220-74c2-4369-9afa-a18bf068840d",
"{\"type\":\"Point\",\"coordinates\":[7.411111,51.492528],\"crs\":{\"type\":\"name\",\"properties\":{\"name\":\"EPSG:4326\"}}}",
"node_a",
"2020-03-25T15:11:31Z[UTC]",
"2020-03-24T15:11:31Z[UTC]",
"8f9682df-0744-4b58-a122-f0dc730f6510",
"true",
"1",
"1.0",
"Höchstspannung",
"380.0",
"olm:{(0.00,1.00)}",
"cosPhiP:{(0.0,1.0),(0.9,1.0),(1.2,-0.3)}"
]
}
def "A CsvDataSource should be able to handle a variety of different csvRows correctly"() {
expect:
dummyCsvSource.parseCsvRow(csvRow, csvSep) as List == resultingArray
where:
csvSep | csvRow || resultingArray
"," | "\"4ca90220-74c2-4369-9afa-a18bf068840d\",\"{\"type\":\"Point\",\"coordinates\":[7.411111,51.492528],\"crs\":{\"type\":\"name\",\"properties\":{\"name\":\"EPSG:4326\"}}}\",\"node_a\",\"2020-03-25T15:11:31Z[UTC]\",\"2020-03-24T15:11:31Z[UTC]\",\"8f9682df-0744-4b58-a122-f0dc730f6510\",\"true\",\"1\",\"1.0\",\"Höchstspannung\",\"380.0\",\"olm:{(0.00,1.00)}\",\"cosPhiP:{(0.0,1.0),(0.9,1.0),(1.2,-0.3)}\"" || [
"4ca90220-74c2-4369-9afa-a18bf068840d",
"{\"type\":\"Point\",\"coordinates\":[7.411111,51.492528],\"crs\":{\"type\":\"name\",\"properties\":{\"name\":\"EPSG:4326\"}}}",
"node_a",
"2020-03-25T15:11:31Z[UTC]",
"2020-03-24T15:11:31Z[UTC]",
"8f9682df-0744-4b58-a122-f0dc730f6510",
"true",
"1",
"1.0",
"Höchstspannung",
"380.0",
"olm:{(0.00,1.00)}",
"cosPhiP:{(0.0,1.0),(0.9,1.0),(1.2,-0.3)}"
]
";" | "\"4ca90220-74c2-4369-9afa-a18bf068840d\";\"{\"type\":\"Point\",\"coordinates\":[7.411111,51.492528],\"crs\":{\"type\":\"name\",\"properties\":{\"name\":\"EPSG:4326\"}}}\";\"node_a\";\"2020-03-25T15:11:31Z[UTC]\";\"2020-03-24T15:11:31Z[UTC]\";\"8f9682df-0744-4b58-a122-f0dc730f6510\";\"true\";\"1\";\"1.0\";\"Höchstspannung\";\"380.0\";\"olm:{(0.00,1.00)}\";\"cosPhiP:{(0.0,1.0),(0.9,1.0),(1.2,-0.3)}\"" || [
"4ca90220-74c2-4369-9afa-a18bf068840d",
"{\"type\":\"Point\",\"coordinates\":[7.411111,51.492528],\"crs\":{\"type\":\"name\",\"properties\":{\"name\":\"EPSG:4326\"}}}",
"node_a",
"2020-03-25T15:11:31Z[UTC]",
"2020-03-24T15:11:31Z[UTC]",
"8f9682df-0744-4b58-a122-f0dc730f6510",
"true",
"1",
"1.0",
"Höchstspannung",
"380.0",
"olm:{(0.00,1.00)}",
"cosPhiP:{(0.0,1.0),(0.9,1.0),(1.2,-0.3)}"
]
"," | "1,abc,def,\"He said \"\"run, run\"\"\", 6.0, \"thats \"\"good\"\"\"" || [
"1",
"abc",
"def",
"He said \"run, run\"",
"6.0",
"thats \"good\""
]
";" | "1;abc;def;\"He said \"\"run, run\"\"\"; 6.0; \"thats \"\"good\"\"\"" || [
"1",
"abc",
"def",
"He said \"run, run\"",
"6.0",
"thats \"good\""
]
";" | "1;abc;def;\"He said \"\"run; run\"\"\"; 6.0; \"thats \"\"good\"\"\"" || [
"1",
"abc",
"def",
"He said \"run; run\"",
"6.0",
"thats \"good\""
]
"," | "1,abc,def,\"He said \"\"test, test\"\" and was happy\", 5.0" || [
"1",
"abc",
"def",
"He said \"test, test\" and was happy",
"5.0"
]
"," | "1,abc,def,\"He said \"\"test, test\"\" and was happy\",\"obviously, yet.\", 5.0" || [
"1",
"abc",
"def",
"He said \"test, test\" and was happy",
"obviously, yet.",
"5.0"
]
"," | "1,abc,def,\"He said \"\"test, test\"\"\", 5.0" || [
"1",
"abc",
"def",
"He said \"test, test\"",
"5.0"
]
"," | "1,abc,def,\"He said \"\"test, test\"\"\"" || [
"1",
"abc",
"def",
"He said \"test, test\""
]
"," | "1,abc,def,\"He said \"\"test, test\"\" and was happy\", 5.0, \"... and felt like a \"\"genius\"\" with this.\"" || [
"1",
"abc",
"def",
"He said \"test, test\" and was happy",
"5.0",
"... and felt like a \"genius\" with this."
]
"," | "1,abc,def,\"He said \"\"test, test\"\" and was happy\", 5.0, \"... and felt like a \"\"genius\"\" with this.\"," || [
"1",
"abc",
"def",
"He said \"test, test\" and was happy",
"5.0",
"... and felt like a \"genius\" with this.",
""
]
}
def "A CsvDataSource should build a valid fields to attributes map with valid data and empty value fields as expected"() {
given:
def validHeadline = [
"uuid",
"active_power_gradient",
"capex",
"cosphi_rated",
"eta_conv",
"id",
"opex",
"s_rated",
"olmcharacteristic",
"cosPhiFixed"
] as String[]
def validCsvRow = "5ebd8f7e-dedb-4017-bb86-6373c4b68eb8,25.0,100.0,0.95,98.0,test_bmTypeInput,50.0,25.0,\"olm:{(0.0,1.0)}\","
expect:
dummyCsvSource.buildFieldsToAttributes(validCsvRow, validHeadline) == [
activePowerGradient: "25.0",
capex : "100.0",
cosphiRated : "0.95",
etaConv : "98.0",
id : "test_bmTypeInput",
opex : "50.0",
sRated : "25.0",
uuid : "5ebd8f7e-dedb-4017-bb86-6373c4b68eb8",
olmcharacteristic : "olm:{(0.0,1.0)}",
cosPhiFixed : ""
]
}
def "A CsvDataSource should be able to handle several errors when the csvRow is invalid or cannot be processed"() {
given:
def validHeadline = [
"uuid",
"active_power_gradient",
"capex",
"cosphi_rated",
"eta_conv",
"id",
"opex",
"s_rated"
] as String[]
expect:
dummyCsvSource.buildFieldsToAttributes(invalidCsvRow, validHeadline) == [:]
where:
invalidCsvRow || explaination
"5ebd8f7e-dedb-4017-bb86-6373c4b68eb8;25.0;100.0;0.95;98.0;test_bmTypeInput;50.0;25.0" || "wrong separator"
"5ebd8f7e-dedb-4017-bb86-6373c4b68eb8,25.0,100.0,0.95,98.0,test_bmTypeInput" || "too less columns"
"5ebd8f7e-dedb-4017-bb86-6373c4b68eb8,25.0,100.0,0.95,98.0,test_bmTypeInput,,,," || "too much columns"
}
def "A CsvDataSource should collect be able to collect empty optionals when asked to do so"() {
given:
ConcurrentHashMap<Class<? extends UniqueEntity>, LongAdder> emptyCollector = new ConcurrentHashMap<>()
def nodeInputOptionals = [
Optional.of(sptd.hpInput.node),
Optional.empty(),
Optional.of(sptd.chpInput.node)
]
when:
def resultingList = nodeInputOptionals.stream().filter(dummyCsvSource.isPresentCollectIfNot(NodeInput, emptyCollector)).collect(Collectors.toList())
then:
emptyCollector.size() == 1
emptyCollector.get(NodeInput).toInteger() == 1
resultingList.size() == 2
resultingList.get(0) == Optional.of(sptd.hpInput.node)
resultingList.get(1) == Optional.of(sptd.chpInput.node)
}
def "A CsvDataSource should return a given collection of csv row mappings as distinct rows collection correctly"() {
given:
def nodeInputRow = [
"uuid" : "4ca90220-74c2-4369-9afa-a18bf068840d",
"geo_position" : "{\"type\":\"Point\",\"coordinates\":[7.411111,51.492528],\"crs\":{\"type\":\"name\",\"properties\":{\"name\":\"EPSG:4326\"}}}",
"id" : "node_a",
"operates_until": "2020-03-25T15:11:31Z[UTC]",
"operates_from" : "2020-03-24T15:11:31Z[UTC]",
"operator" : "8f9682df-0744-4b58-a122-f0dc730f6510",
"slack" : "true",
"subnet" : "1",
"v_target" : "1.0",
"volt_lvl" : "Höchstspannung",
"v_rated" : "380"
]
when:
def allRows = [nodeInputRow]* noOfEntities
def distinctRows = dummyCsvSource.distinctRowsWithLog(allRows, uuidExtractor, NodeInput.simpleName, "UUID")
then:
distinctRows.size() == distinctSize
distinctRows[0] == firstElement
where:
noOfEntities || distinctSize || firstElement
0 || 0 || null
10 || 1 || ["uuid" : "4ca90220-74c2-4369-9afa-a18bf068840d",
"geo_position" : "{\"type\":\"Point\",\"coordinates\":[7.411111,51.492528],\"crs\":{\"type\":\"name\",\"properties\":{\"name\":\"EPSG:4326\"}}}",
"id" : "node_a",
"operates_until": "2020-03-25T15:11:31Z[UTC]",
"operates_from" : "2020-03-24T15:11:31Z[UTC]",
"operator" : "8f9682df-0744-4b58-a122-f0dc730f6510",
"slack" : "true",
"subnet" : "1",
"v_target" : "1.0",
"volt_lvl" : "Höchstspannung",
"v_rated" : "380"]
}
def "A CsvDataSource should return an empty set of csv row mappings if the provided collection of mappings contains duplicated UUIDs with different data"() {
given:
def nodeInputRow1 = [
"uuid" : "4ca90220-74c2-4369-9afa-a18bf068840d",
"geo_position" : "{\"type\":\"Point\",\"coordinates\":[7.411111,51.492528],\"crs\":{\"type\":\"name\",\"properties\":{\"name\":\"EPSG:4326\"}}}",
"id" : "node_a",
"operates_until": "2020-03-25T15:11:31Z[UTC]",
"operates_from" : "2020-03-24T15:11:31Z[UTC]",
"operator" : "8f9682df-0744-4b58-a122-f0dc730f6510",
"slack" : "true",
"subnet" : "1",
"v_target" : "1.0",
"volt_lvl" : "Höchstspannung",
"v_rated" : "380"
]
def nodeInputRow2 = [
"uuid" : "4ca90220-74c2-4369-9afa-a18bf068840d",
"geo_position" : "{\"type\":\"Point\",\"coordinates\":[7.411111,51.492528],\"crs\":{\"type\":\"name\",\"properties\":{\"name\":\"EPSG:4326\"}}}",
"id" : "node_b",
"operates_until": "2020-03-25T15:11:31Z[UTC]",
"operates_from" : "2020-03-24T15:11:31Z[UTC]",
"operator" : "8f9682df-0744-4b58-a122-f0dc730f6510",
"slack" : "true",
"subnet" : "1",
"v_target" : "1.0",
"volt_lvl" : "Höchstspannung",
"v_rated" : "380"
]
when:
def allRows = [nodeInputRow1, nodeInputRow2]* 10
def distinctRows = dummyCsvSource.distinctRowsWithLog(allRows, uuidExtractor, NodeInput.simpleName, "UUID")
then:
distinctRows.size() == 0
}
}