mirror of https://github.com/samply/bridgehead.git
228 lines
10 KiB
Plaintext
228 lines
10 KiB
Plaintext
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# For a comprehensive documentation of configuration parameters see the configuration manual
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# ("Konfigurationshandbuch").
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# debug mode: If set to true, token handling is disabled (i.e. no tokens are necessary).
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debug = false
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# Name of this mainzelliste distribution instance.
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dist = Lokale Patientenliste der CCP-IT am Standort ML_SITE
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# Database setup
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db.driver = ML_DB_DRIVER
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db.url = jdbc:ML_DB_TYPE://ML_DB_HOST:ML_DB_PORT/ML_DB_NAME
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db.username = ML_DB_USER
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db.password = ML_DB_PASS
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# Logging
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# By default, logs are written to stdout
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gcp.audittrail = true
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# Field definitions
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field.Vorname.type = PlainTextField
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field.Nachname.type = PlainTextField
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field.Fruehere_Namen.type = PlainTextField
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field.Geburtstag.type = IntegerField
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field.Geburtsmonat.type = IntegerField
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field.Geburtsjahr.type = IntegerField
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field.Staatsangehoerigkeit.type = PlainTextField
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field.Geschlecht.type = PlainTextField
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field.locallyUniqueId.type = PlainTextField
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# Server-side validation
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validator.field.Vorname.required = true
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validator.field.Nachname.required = true
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validator.field.Geburtstag.required = true
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validator.field.Geburtsmonat.required = true
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validator.field.Geburtsjahr.required = true
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validator.field.Vorname.format = [A-Za-zäÄöÖüÜß\\.\\-' ]*[A-Za-zäÄöÖüÜß]+[A-Za-zäÄöÖüÜß\\.\\-' ]*
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validator.field.Nachname.format = [A-Za-zäÄöÖüÜß\\.\\-' ]*[A-Za-zäÄöÖüÜß]+[A-Za-zäÄöÖüÜß\\.\\-' ]*
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validator.field.Fruehere_Namen.format = [A-Za-zäÄöÖüÜß\\.\\-' ]*[A-Za-zäÄöÖüÜß]+[A-Za-zäÄöÖüÜß\\.\\-' ]*
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# Date validation:
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validator.date.0.fields = Geburtstag, Geburtsmonat, Geburtsjahr
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validator.date.0.format = ddMMyyyy
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# Exchange groups
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# An exchange group denotes a set of fields whose values are considered interchangeable.
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# The matcher (currently only EpilinkMatcher) compares the fields in each exchange group to
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# all of its permutations and uses the best matching combination for final decision.
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exchangeGroup.0 = Vorname, Nachname, Fruehere_Namen
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# Field transformations
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#
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# Transformations for a field {fieldname} are defined by
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# field.{fieldname}.transformers = {transformerlist}, where
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# transformerlist is a comma-separated list of names of subclasses of FieldTransformer.
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field.Vorname.transformers = StringNormalizer, FirstNameDecomposer
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field.Nachname.transformers = StringNormalizer, GermanLastNameDecomposer
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field.Fruehere_Namen.transformers = StringNormalizer, GermanLastNameDecomposer
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# field comparators
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field.Vorname.comparator = NGramComparator
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field.Nachname.comparator = NGramComparator
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field.Fruehere_Namen.comparator = NGramComparator
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field.Geburtstag.comparator = BinaryFieldComparator
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field.Geburtsmonat.comparator = BinaryFieldComparator
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field.Geburtsjahr.comparator = BinaryFieldComparator
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field.Staatsangehoerigkeit.comparator = BinaryFieldComparator
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field.Geschlecht.comparator = BinaryFieldComparator
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# Matcher definition
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# Property matcher defines the class name of the matcher to use, which must be a subclass
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# of Matcher. Currently only EpilinkMatcher and NullMatcher are supported.
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matcher = EpilinkMatcher
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# Config for Epilink Matcher
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#
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# matcher.epilink.{fieldname}.frequency: Defines the assumed mean frequency of values
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# for field {fieldname}. This corresponds to the u-probability in the Fellegi-Sunter-Model
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# and can be estimated by the reciprocal of the number of distinct values (i.e. the
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# frequency of "month" is 1 / 12).
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matcher.epilink.Vorname.frequency = 0.000235
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matcher.epilink.Nachname.frequency = 0.0000271
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matcher.epilink.Fruehere_Namen.frequency = 0.0000271
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# 1 / 30 (approximate average number of days in a month)
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matcher.epilink.Geburtstag.frequency = 0.0333
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# 1 / 12
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matcher.epilink.Geburtsmonat.frequency = 0.0833
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# example value: birth years for an age range of 35 years (40 - 75).
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matcher.epilink.Geburtsjahr.frequency = 0.0286
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# Berechnungsgrundlage: 193 anerkannte + 13 umstrittene Staaten (Quelle: Wikipedia) -> ca. 1 / 200
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matcher.epilink.Staatsangehoerigkeit.frequency = 0.005
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matcher.epilink.Geschlecht.frequency = 0.5
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# matcher.epilink.{fieldname}.error_rate defines the assumed error_rate for
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# field {fieldname} (1 - m-probability)
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#
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# The supplied number stem from the evaluation of a German cancer registry
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matcher.epilink.Vorname.errorRate = 0.01
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matcher.epilink.Nachname.errorRate = 0.008
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matcher.epilink.Fruehere_Namen.errorRate = 0.008
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matcher.epilink.Geburtstag.errorRate = 0.005
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matcher.epilink.Geburtsmonat.errorRate = 0.002
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matcher.epilink.Geburtsjahr.errorRate = 0.004
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matcher.epilink.Staatsangehoerigkeit.errorRate = 0.04
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matcher.epilink.Geschlecht.errorRate = 0.04
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# matcher.epilink.threshold.match: Defines the minimum weight (in the interval [0,1])
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# for which a pair of records is considered a definite match.
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#
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# matcher.epilink.threshold_non_match: Defines the weight (in the interval [0,1])
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# below which a pair of records is considered a definite non-match. Must be less than or equal
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# to matcher.epilink.threshold_match.
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#
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# Record pairs with a weight w with threshold_non_match <= w < threshold_match are
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# considered possible matches and lead to a tentative PID.
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matcher.epilink.threshold_match = 0.95
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matcher.epilink.threshold_non_match = 0.65
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# Blocking
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# The blocking strategy choice depends on the field types after the transformation.
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# If compound fields are passed to the blocker, whether created by a field transformation or as input fields,
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# the type of the subfields is the one that is relevant for the blocking.
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# If exchange groups are used, only one of the fieldnames should be given here. The blocker is applied to
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# the other fields as well.
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# Use Soundex for PlainText fields
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blocking.soundex.type = Soundex
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blocking.soundex.fields = Vorname, Nachname, Fruehere_Namen
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# Use FieldEquality e.g. for birthday based blocking
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# This can be combined with Soundex blocking.
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blocking.dob.type = FieldEquality
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blocking.dob.fields = Geburtstag, Geburtsmonat, Geburtsjahr
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# Servers (apiKey and permission definition)
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servers.0.apiKey = ML_API_KEY
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servers.0.permissions = createSession;showSessionIds;deleteAllPatients;createToken;tt_addPatient;tt_readPatients;tt_editPatient;readConfiguration
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# TODO: Reduce to bridgeheads ip
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servers.0.allowedRemoteAdresses = 0.0.0.0/0
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# Allowed format of the callback
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callback.allowedFormat = https://.*
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callback.allowSelfsigned = false
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# IdGenerators
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idgenerators = BK_ML_SITE_L-ID, MDS_ML_SITE_L-ID, BK_ML_SITE_G-ID, locallyUniqueId, DKTK000001985_ML_SITE_L-ID, DKTK000001985_ML_SITE_G-ID, DKTK000001986_ML_SITE_L-ID, DKTK000001986_ML_SITE_G-ID, DKTK000001950_ML_SITE_L-ID, DKTK000001950_ML_SITE_G-ID, DKTK000001951_ML_SITE_L-ID, DKTK000001951_ML_SITE_G-ID, DKTK999999999_ML_SITE_L-ID, DKTK999999999_ML_SITE_G-ID, DKTK000002089_ML_SITE_L-ID, DKTK000002089_ML_SITE_G-ID
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idgenerators.eagerGeneration = false
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# Configuration of the local and global BK Pseudonymes
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idgenerator.BK_ML_SITE_L-ID = PIDGenerator
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idgenerator.BK_ML_SITE_L-ID.k1 = ML_BK_IDGENERATOR_RANDOM_1
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idgenerator.BK_ML_SITE_L-ID.k2 = ML_BK_IDGENERATOR_RANDOM_2
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idgenerator.BK_ML_SITE_L-ID.k3 = ML_BK_IDGENERATOR_RANDOM_3
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idgenerator.BK_ML_SITE_G-ID = ExternalIDGenerator
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# The unique id from the local datawarehouse
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idgenerator.locallyUniqueId = ExternalIDGenerator
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# Configuration for the local mds-id
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idgenerator.MDS_ML_SITE_L-ID = PIDGenerator
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idgenerator.MDS_ML_SITE_L-ID.k1 = ML_MDS_IDGENERATOR_RANDOM_1
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idgenerator.MDS_ML_SITE_L-ID.k2 = ML_MDS_IDGENERATOR_RANDOM_2
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idgenerator.MDS_ML_SITE_L-ID.k3 = ML_MDS_IDGENERATOR_RANDOM_3
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idgenerator.MDS_ML_SITE_L-ID.eager = *
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idgenerator.MDS_ML_SITE_L-ID.exportEncryption = mdsIdEncryption
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# Encryption for export of mds
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crypto.key.mdsIdPublicKey.type = RSA_PUBLIC
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crypto.key.mdsIdPublicKey.uri = file:///run/secrets/centralSearchPublicKey
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crypto.encryption.mdsIdEncryption.key = mdsIdPublicKey
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crypto.encryption.mdsIdEncryption.type = RSA_ENCRYPT
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# Configuration of the study specific id-generators
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# Configuration for project DKTK000001985
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idgenerator.DKTK000001985_ML_SITE_L-ID = PIDGenerator
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idgenerator.DKTK000001985_ML_SITE_L-ID.k1 = ML_DKTK000001985_IDGENERATOR_RANDOM_1
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idgenerator.DKTK000001985_ML_SITE_L-ID.k2 = ML_DKTK000001985_IDGENERATOR_RANDOM_1
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idgenerator.DKTK000001985_ML_SITE_L-ID.k3 = ML_DKTK000001985_IDGENERATOR_RANDOM_1
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idgenerator.DKTK000001985_ML_SITE_G-ID = ExternalIDGenerator
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# Configuration for project DKTK000001986
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idgenerator.DKTK000001986_ML_SITE_L-ID = PIDGenerator
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idgenerator.DKTK000001986_ML_SITE_L-ID.k1 = ML_DKTK000001986_IDGENERATOR_RANDOM_1
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idgenerator.DKTK000001986_ML_SITE_L-ID.k2 = ML_DKTK000001986_IDGENERATOR_RANDOM_1
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idgenerator.DKTK000001986_ML_SITE_L-ID.k3 = ML_DKTK000001986_IDGENERATOR_RANDOM_1
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idgenerator.DKTK000001986_ML_SITE_G-ID = ExternalIDGenerator
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# Configuration for project DKTK000001950
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idgenerator.DKTK000001950_ML_SITE_L-ID = PIDGenerator
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idgenerator.DKTK000001950_ML_SITE_L-ID.k1 = ML_DKTK000001950_IDGENERATOR_RANDOM_1
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idgenerator.DKTK000001950_ML_SITE_L-ID.k2 = ML_DKTK000001950_IDGENERATOR_RANDOM_1
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idgenerator.DKTK000001950_ML_SITE_L-ID.k3 = ML_DKTK000001950_IDGENERATOR_RANDOM_1
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idgenerator.DKTK000001950_ML_SITE_G-ID = ExternalIDGenerator
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# Configuration for project DKTK000001951
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idgenerator.DKTK000001951_ML_SITE_L-ID = PIDGenerator
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idgenerator.DKTK000001951_ML_SITE_L-ID.k1 = ML_DKTK000001951_IDGENERATOR_RANDOM_1
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idgenerator.DKTK000001951_ML_SITE_L-ID.k2 = ML_DKTK000001951_IDGENERATOR_RANDOM_1
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idgenerator.DKTK000001951_ML_SITE_L-ID.k3 = ML_DKTK000001951_IDGENERATOR_RANDOM_1
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idgenerator.DKTK000001951_ML_SITE_G-ID = ExternalIDGenerator
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# Configuration for project DKTK999999999
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idgenerator.DKTK999999999_ML_SITE_L-ID = PIDGenerator
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idgenerator.DKTK999999999_ML_SITE_L-ID.k1 = ML_DKTK999999999_IDGENERATOR_RANDOM_1
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idgenerator.DKTK999999999_ML_SITE_L-ID.k2 = ML_DKTK999999999_IDGENERATOR_RANDOM_1
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idgenerator.DKTK999999999_ML_SITE_L-ID.k3 = ML_DKTK999999999_IDGENERATOR_RANDOM_1
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idgenerator.DKTK999999999_ML_SITE_G-ID = ExternalIDGenerator
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# Configuration for project DKTK000002089
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idgenerator.DKTK000002089_ML_SITE_L-ID = PIDGenerator
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idgenerator.DKTK000002089_ML_SITE_L-ID.k1 = ML_DKTK000002089_IDGENERATOR_RANDOM_1
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idgenerator.DKTK000002089_ML_SITE_L-ID.k2 = ML_DKTK000002089_IDGENERATOR_RANDOM_1
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idgenerator.DKTK000002089_ML_SITE_L-ID.k3 = ML_DKTK000002089_IDGENERATOR_RANDOM_1
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idgenerator.DKTK000002089_ML_SITE_G-ID = ExternalIDGenerator
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