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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.exceptions.SourceException
import edu.ie3.datamodel.io.naming.FileNamingStrategy
import edu.ie3.datamodel.models.UniqueEntity
import edu.ie3.datamodel.models.input.NodeInput
import edu.ie3.datamodel.models.input.system.LoadInput
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 implements CsvTestDataMeta {
@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 return column names from a valid CSV file as expected"() {
given:
DummyCsvSource source = new DummyCsvSource(csvSep, participantsFolderPath, fileNamingStrategy)
expect:
source.getSourceFields(LoadInput).get() == [
"operates_from",
"node",
"s_rated",
"cos_phi_rated",
"load_profile",
"id",
"operates_until",
"uuid",
"q_characteristics",
"e_cons_annual",
"operator",
"dsm"
] as Set
}
def "A CsvDataSource should return an empty result when retrieving column names for a non-existing CSV file"() {
given:
def path = Path.of("this/path/does-not-exist")
expect:
dummyCsvSource.getSourceFields(() -> dummyCsvSource.connector.initReader(path)).isEmpty()
}
def "A CsvDataSource should throw an exception when retrieving column names for a non-readable CSV file"() {
given:
DummyCsvSource source = new DummyCsvSource(csvSep, participantsFolderPath, fileNamingStrategy)
def readerSupplier = () -> {
def reader = source.connector.initReader(LoadInput)
reader.close() // We simulate the file being unreadable by just closing the reader before passing it over
return reader
}
when:
source.getSourceFields(readerSupplier)
then:
def exc = thrown(SourceException)
exc.message.startsWith("Error while trying to read source")
}
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
}
}