G2Engine Getting Entities and Records
Getting Entities and Records
getRecord
Use getRecord() to retrieve a single record from the data repository; the record is assigned in JSON form to a user-designated buffer.
Once the Senzing engine is initialized, getRecord() can be called as many times as desired and from multiple threads at the same time.
g2_engine.getRecord(datasource_code, record_id, response_bytearray, g2_engine_flags)
Parameters
- datasource_code: (str) The configured DATA_SOURCE for the record.
- record_id: (str) The RECORD_ID for the record.
- response_bytearray: (bytearray) Object to store the output of the method.
- g2_engine_flags: (int [optional]) One or more flags used to determine response document content. Applicable flags are listed here getRecord flags)
Click to expand `getRecord()` example
Example
#! /usr/bin/env python3
from senzing import G2Engine, G2Exception
# REPLACE /home/user/your_project with the path to your Senzing project
senzing_engine_configuration_json = '{ "PIPELINE": { "CONFIGPATH": "/home/user/your_project/etc", "SUPPORTPATH": "/home/user/your_project/data", "RESOURCEPATH": "/home/user/your_project/resources" }, "SQL": { "CONNECTION": "sqlite3://na:na@/home/user/your_project/var/sqlite/G2C.db" } }'
g2_engine = G2Engine()
datasource_code = 'CUSTOMERS'
record_id = '1001'
response_bytearray = bytearray()
try:
g2_engine.init("G2Engine", senzing_engine_configuration_json)
g2_engine.getRecord(
datasource_code,
record_id,
response_bytearray)
g2_engine.destroy()
print(response_bytearray.decode())
except G2Exception as err:
print(err)
Output
{
"DATA_SOURCE": "CUSTOMERS",
"RECORD_ID": "1001",
"JSON_DATA":
{
"ADDR_LINE1": "123 Main Street, Las Vegas NV 89132",
"ADDR_TYPE": "MAILING",
"AMOUNT": "100",
"DATE": "1/2/18",
"DATE_OF_BIRTH": "12/11/1978",
"EMAIL_ADDRESS": "bsmith@work.com",
"LOAD_ID": "customers.json",
"PHONE_NUMBER": "702-919-1300",
"PHONE_TYPE": "HOME",
"PRIMARY_NAME_FIRST": "Robert",
"PRIMARY_NAME_LAST": "Smith",
"RECORD_TYPE": "PERSON",
"STATUS": "Active",
"DATA_SOURCE": "CUSTOMERS",
"ENTITY_TYPE": "GENERIC",
"DSRC_ACTION": "A",
"RECORD_ID": "1001"
}
}
getEntityByRecordID
Use getEntityByRecordID() to retrieve entity data based on the ID of a resolved identity.
g2_engine.getEntityByRecordID(datasource_code, record_id, response_bytearray, g2_engine_flags)
Parameters
- datasource_code: (str) The configured data source for the record.
- record_id: (str) The RECORD_ID for the record.
- response_bytearray: (bytearray) Object to store the output of the method.
- g2_engine_flags: (int [optional]) One or more flags used to determine response document content. Applicable flags are listed here getEntity* flags)
Click to expand `getEntityByRecordID()` example
Example
#! /usr/bin/env python3
from senzing import G2Engine, G2Exception
# REPLACE /home/user/your_project with the path to your Senzing project
senzing_engine_configuration_json = '{ "PIPELINE": { "CONFIGPATH": "/home/user/your_project/etc", "SUPPORTPATH": "/home/user/your_project/data", "RESOURCEPATH": "/home/user/your_project/resources" }, "SQL": { "CONNECTION": "sqlite3://na:na@/home/user/your_project/var/sqlite/G2C.db" } }'
g2_engine = G2Engine()
datasource_code = 'CUSTOMERS'
record_id = '1001'
response_bytearray = bytearray()
try:
g2_engine.init("G2Engine", senzing_engine_configuration_json)
g2_engine.getEntityByRecordID(
datasource_code,
record_id,
response_bytearray)
g2_engine.destroy()
print(response_bytearray.decode())
except G2Exception as err:
print(err)
Output
{
"RESOLVED_ENTITY":
{
"ENTITY_ID": 1,
"ENTITY_NAME": "Robert Smith",
"FEATURES":
{
"ADDRESS":
[
{
"FEAT_DESC": "1515 Adela Lane Las Vegas NV 89111",
"LIB_FEAT_ID": 34,
"USAGE_TYPE": "HOME",
"FEAT_DESC_VALUES":
[
{
"FEAT_DESC": "1515 Adela Lane Las Vegas NV 89111",
"LIB_FEAT_ID": 34
},
{
"FEAT_DESC": "1515 Adela Ln Las Vegas NV 89132",
"LIB_FEAT_ID": 76
}
]
},
{
"FEAT_DESC": "123 Main Street, Las Vegas NV 89132",
"LIB_FEAT_ID": 3,
"USAGE_TYPE": "MAILING",
"FEAT_DESC_VALUES":
[
{
"FEAT_DESC": "123 Main Street, Las Vegas NV 89132",
"LIB_FEAT_ID": 3
}
]
}
],
"DOB":
[
{
"FEAT_DESC": "11/12/1979",
"LIB_FEAT_ID": 75,
"FEAT_DESC_VALUES":
[
{
"FEAT_DESC": "11/12/1979",
"LIB_FEAT_ID": 75
}
]
},
{
"FEAT_DESC": "12/11/1978",
"LIB_FEAT_ID": 2,
"FEAT_DESC_VALUES":
[
{
"FEAT_DESC": "12/11/1978",
"LIB_FEAT_ID": 2
},
{
"FEAT_DESC": "11/12/1978",
"LIB_FEAT_ID": 33
}
]
}
],
"EMAIL":
[
{
"FEAT_DESC": "bsmith@work.com",
"LIB_FEAT_ID": 5,
"FEAT_DESC_VALUES":
[
{
"FEAT_DESC": "bsmith@work.com",
"LIB_FEAT_ID": 5
}
]
}
],
"NAME":
[
{
"FEAT_DESC": "B Smith",
"LIB_FEAT_ID": 74,
"USAGE_TYPE": "PRIMARY",
"FEAT_DESC_VALUES":
[
{
"FEAT_DESC": "B Smith",
"LIB_FEAT_ID": 74
}
]
},
{
"FEAT_DESC": "Robert Smith",
"LIB_FEAT_ID": 1,
"USAGE_TYPE": "PRIMARY",
"FEAT_DESC_VALUES":
[
{
"FEAT_DESC": "Robert Smith",
"LIB_FEAT_ID": 1
},
{
"FEAT_DESC": "Bob J Smith",
"LIB_FEAT_ID": 55
},
{
"FEAT_DESC": "Bob Smith",
"LIB_FEAT_ID": 32
}
]
}
],
"PHONE":
[
{
"FEAT_DESC": "702-919-1300",
"LIB_FEAT_ID": 4,
"USAGE_TYPE": "HOME",
"FEAT_DESC_VALUES":
[
{
"FEAT_DESC": "702-919-1300",
"LIB_FEAT_ID": 4
}
]
},
{
"FEAT_DESC": "702-919-1300",
"LIB_FEAT_ID": 4,
"USAGE_TYPE": "MOBILE",
"FEAT_DESC_VALUES":
[
{
"FEAT_DESC": "702-919-1300",
"LIB_FEAT_ID": 4
}
]
}
],
"RECORD_TYPE":
[
{
"FEAT_DESC": "PERSON",
"LIB_FEAT_ID": 30,
"FEAT_DESC_VALUES":
[
{
"FEAT_DESC": "PERSON",
"LIB_FEAT_ID": 30
}
]
}
]
},
"RECORD_SUMMARY":
[
{
"DATA_SOURCE": "CUSTOMERS",
"RECORD_COUNT": 4,
"FIRST_SEEN_DT": "2022-12-16 23:01:29.560",
"LAST_SEEN_DT": "2022-12-16 23:01:29.584"
}
],
"LAST_SEEN_DT": "2022-12-16 23:01:29.584",
"RECORDS":
[
{
"DATA_SOURCE": "CUSTOMERS",
"RECORD_ID": "1004",
"ENTITY_TYPE": "GENERIC",
"INTERNAL_ID": 4,
"ENTITY_KEY": "27EB831065949BD567D1E92681CA4ACD8C0FF1AA",
"ENTITY_DESC": "B Smith",
"MATCH_KEY": "",
"MATCH_LEVEL": 0,
"MATCH_LEVEL_CODE": "",
"ERRULE_CODE": "",
"LAST_SEEN_DT": "2022-12-16 23:01:29.584"
},
{
"DATA_SOURCE": "CUSTOMERS",
"RECORD_ID": "1001",
"ENTITY_TYPE": "GENERIC",
"INTERNAL_ID": 1,
"ENTITY_KEY": "53C913F04DF04CA474389042F731333F92DCD3E7",
"ENTITY_DESC": "Robert Smith",
"MATCH_KEY": "+NAME+DOB+PHONE+EMAIL",
"MATCH_LEVEL": 1,
"MATCH_LEVEL_CODE": "RESOLVED",
"ERRULE_CODE": "SF1_SNAME_CFF_CSTAB",
"LAST_SEEN_DT": "2022-12-16 23:01:29.560"
},
{
"DATA_SOURCE": "CUSTOMERS",
"RECORD_ID": "1002",
"ENTITY_TYPE": "GENERIC",
"INTERNAL_ID": 2,
"ENTITY_KEY": "E417012A90D71444C2E190FAF313DA88C5E663B9",
"ENTITY_DESC": "Bob Smith",
"MATCH_KEY": "+NAME+DOB+ADDRESS",
"MATCH_LEVEL": 1,
"MATCH_LEVEL_CODE": "RESOLVED",
"ERRULE_CODE": "CNAME_CFF_CEXCL",
"LAST_SEEN_DT": "2022-12-16 23:01:29.566"
},
{
"DATA_SOURCE": "CUSTOMERS",
"RECORD_ID": "1003",
"ENTITY_TYPE": "GENERIC",
"INTERNAL_ID": 3,
"ENTITY_KEY": "B327B02717D7515EC96319C0A0AD680FE532E27E",
"ENTITY_DESC": "Bob J Smith",
"MATCH_KEY": "+NAME+DOB+EMAIL",
"MATCH_LEVEL": 1,
"MATCH_LEVEL_CODE": "RESOLVED",
"ERRULE_CODE": "SF1_PNAME_CSTAB",
"LAST_SEEN_DT": "2022-12-16 23:01:29.577"
}
]
},
"RELATED_ENTITIES":
[
{
"ENTITY_ID": 5,
"MATCH_LEVEL": 2,
"MATCH_LEVEL_CODE": "POSSIBLY_SAME",
"MATCH_KEY": "+NAME+ADDRESS-DOB",
"ERRULE_CODE": "CNAME_CFF_DEXCL",
"IS_DISCLOSED": 0,
"IS_AMBIGUOUS": 0,
"ENTITY_NAME": "Robert E Smith Sr",
"RECORD_SUMMARY":
[
{
"DATA_SOURCE": "CUSTOMERS",
"RECORD_COUNT": 1,
"FIRST_SEEN_DT": "2022-12-16 23:01:29.591",
"LAST_SEEN_DT": "2022-12-16 23:01:29.591"
},
{
"DATA_SOURCE": "WATCHLIST",
"RECORD_COUNT": 1,
"FIRST_SEEN_DT": "2022-12-16 23:01:37.096",
"LAST_SEEN_DT": "2022-12-16 23:01:37.096"
}
],
"LAST_SEEN_DT": "2022-12-16 23:01:37.096"
},
{
"ENTITY_ID": 100002,
"MATCH_LEVEL": 3,
"MATCH_LEVEL_CODE": "POSSIBLY_RELATED",
"MATCH_KEY": "+ADDRESS+SURNAME",
"ERRULE_CODE": "CFF_SURNAME",
"IS_DISCLOSED": 0,
"IS_AMBIGUOUS": 0,
"ENTITY_NAME": "Patricia Smith",
"RECORD_SUMMARY":
[
{
"DATA_SOURCE": "WATCHLIST",
"RECORD_COUNT": 1,
"FIRST_SEEN_DT": "2022-12-16 23:01:37.149",
"LAST_SEEN_DT": "2022-12-16 23:01:37.149"
}
],
"LAST_SEEN_DT": "2022-12-16 23:01:37.149"
}
]
}
getEntityByEntityID
Use getEntityByEntityID() to retrieve entity data based on the ID of a resolved identity.
g2_engine.getEntityByEntityID(entity_id, response_bytearray, g2_engine_flags)
Parameters
- entity_id: (str) The ENTITY_ID for the record.
- response_bytearray: (bytearray) Object to store the output of the method.
- g2_engine_flags: (int [optional]) One or more flags used to determine response document content. Applicable flags are listed here getEntity* flags)
Click to expand `getEntityByEntityID()` example
Example
#! /usr/bin/env python3
from senzing import G2Engine, G2Exception
# REPLACE /home/user/your_project with the path to your Senzing project
senzing_engine_configuration_json = '{ "PIPELINE": { "CONFIGPATH": "/home/user/your_project/etc", "SUPPORTPATH": "/home/user/your_project/data", "RESOURCEPATH": "/home/user/your_project/resources" }, "SQL": { "CONNECTION": "sqlite3://na:na@/home/user/your_project/var/sqlite/G2C.db" } }'
g2_engine = G2Engine()
entity_id = 1
record_id = '1001'
response_bytearray = bytearray()
try:
g2_engine.init("G2Engine", senzing_engine_configuration_json)
g2_engine.getEntityByEntityID(
entity_id,
response_bytearray)
g2_engine.destroy()
print(response_bytearray.decode())
except G2Exception as err:
print(err)
Output
{
"RESOLVED_ENTITY":
{
"ENTITY_ID": 1,
"ENTITY_NAME": "Robert Smith",
"FEATURES":
{
"ADDRESS":
[
{
"FEAT_DESC": "1515 Adela Lane Las Vegas NV 89111",
"LIB_FEAT_ID": 34,
"USAGE_TYPE": "HOME",
"FEAT_DESC_VALUES":
[
{
"FEAT_DESC": "1515 Adela Lane Las Vegas NV 89111",
"LIB_FEAT_ID": 34
},
{
"FEAT_DESC": "1515 Adela Ln Las Vegas NV 89132",
"LIB_FEAT_ID": 76
}
]
},
{
"FEAT_DESC": "123 Main Street, Las Vegas NV 89132",
"LIB_FEAT_ID": 3,
"USAGE_TYPE": "MAILING",
"FEAT_DESC_VALUES":
[
{
"FEAT_DESC": "123 Main Street, Las Vegas NV 89132",
"LIB_FEAT_ID": 3
}
]
}
],
"DOB":
[
{
"FEAT_DESC": "11/12/1979",
"LIB_FEAT_ID": 75,
"FEAT_DESC_VALUES":
[
{
"FEAT_DESC": "11/12/1979",
"LIB_FEAT_ID": 75
}
]
},
{
"FEAT_DESC": "12/11/1978",
"LIB_FEAT_ID": 2,
"FEAT_DESC_VALUES":
[
{
"FEAT_DESC": "12/11/1978",
"LIB_FEAT_ID": 2
},
{
"FEAT_DESC": "11/12/1978",
"LIB_FEAT_ID": 33
}
]
}
],
"EMAIL":
[
{
"FEAT_DESC": "bsmith@work.com",
"LIB_FEAT_ID": 5,
"FEAT_DESC_VALUES":
[
{
"FEAT_DESC": "bsmith@work.com",
"LIB_FEAT_ID": 5
}
]
}
],
"NAME":
[
{
"FEAT_DESC": "B Smith",
"LIB_FEAT_ID": 74,
"USAGE_TYPE": "PRIMARY",
"FEAT_DESC_VALUES":
[
{
"FEAT_DESC": "B Smith",
"LIB_FEAT_ID": 74
}
]
},
{
"FEAT_DESC": "Robert Smith",
"LIB_FEAT_ID": 1,
"USAGE_TYPE": "PRIMARY",
"FEAT_DESC_VALUES":
[
{
"FEAT_DESC": "Robert Smith",
"LIB_FEAT_ID": 1
},
{
"FEAT_DESC": "Bob J Smith",
"LIB_FEAT_ID": 55
},
{
"FEAT_DESC": "Bob Smith",
"LIB_FEAT_ID": 32
}
]
}
],
"PHONE":
[
{
"FEAT_DESC": "702-919-1300",
"LIB_FEAT_ID": 4,
"USAGE_TYPE": "HOME",
"FEAT_DESC_VALUES":
[
{
"FEAT_DESC": "702-919-1300",
"LIB_FEAT_ID": 4
}
]
},
{
"FEAT_DESC": "702-919-1300",
"LIB_FEAT_ID": 4,
"USAGE_TYPE": "MOBILE",
"FEAT_DESC_VALUES":
[
{
"FEAT_DESC": "702-919-1300",
"LIB_FEAT_ID": 4
}
]
}
],
"RECORD_TYPE":
[
{
"FEAT_DESC": "PERSON",
"LIB_FEAT_ID": 30,
"FEAT_DESC_VALUES":
[
{
"FEAT_DESC": "PERSON",
"LIB_FEAT_ID": 30
}
]
}
]
},
"RECORD_SUMMARY":
[
{
"DATA_SOURCE": "CUSTOMERS",
"RECORD_COUNT": 4,
"FIRST_SEEN_DT": "2022-12-16 23:01:29.560",
"LAST_SEEN_DT": "2022-12-16 23:01:29.584"
}
],
"LAST_SEEN_DT": "2022-12-16 23:01:29.584",
"RECORDS":
[
{
"DATA_SOURCE": "CUSTOMERS",
"RECORD_ID": "1004",
"ENTITY_TYPE": "GENERIC",
"INTERNAL_ID": 4,
"ENTITY_KEY": "27EB831065949BD567D1E92681CA4ACD8C0FF1AA",
"ENTITY_DESC": "B Smith",
"MATCH_KEY": "",
"MATCH_LEVEL": 0,
"MATCH_LEVEL_CODE": "",
"ERRULE_CODE": "",
"LAST_SEEN_DT": "2022-12-16 23:01:29.584"
},
{
"DATA_SOURCE": "CUSTOMERS",
"RECORD_ID": "1001",
"ENTITY_TYPE": "GENERIC",
"INTERNAL_ID": 1,
"ENTITY_KEY": "53C913F04DF04CA474389042F731333F92DCD3E7",
"ENTITY_DESC": "Robert Smith",
"MATCH_KEY": "+NAME+DOB+PHONE+EMAIL",
"MATCH_LEVEL": 1,
"MATCH_LEVEL_CODE": "RESOLVED",
"ERRULE_CODE": "SF1_SNAME_CFF_CSTAB",
"LAST_SEEN_DT": "2022-12-16 23:01:29.560"
},
{
"DATA_SOURCE": "CUSTOMERS",
"RECORD_ID": "1002",
"ENTITY_TYPE": "GENERIC",
"INTERNAL_ID": 2,
"ENTITY_KEY": "E417012A90D71444C2E190FAF313DA88C5E663B9",
"ENTITY_DESC": "Bob Smith",
"MATCH_KEY": "+NAME+DOB+ADDRESS",
"MATCH_LEVEL": 1,
"MATCH_LEVEL_CODE": "RESOLVED",
"ERRULE_CODE": "CNAME_CFF_CEXCL",
"LAST_SEEN_DT": "2022-12-16 23:01:29.566"
},
{
"DATA_SOURCE": "CUSTOMERS",
"RECORD_ID": "1003",
"ENTITY_TYPE": "GENERIC",
"INTERNAL_ID": 3,
"ENTITY_KEY": "B327B02717D7515EC96319C0A0AD680FE532E27E",
"ENTITY_DESC": "Bob J Smith",
"MATCH_KEY": "+NAME+DOB+EMAIL",
"MATCH_LEVEL": 1,
"MATCH_LEVEL_CODE": "RESOLVED",
"ERRULE_CODE": "SF1_PNAME_CSTAB",
"LAST_SEEN_DT": "2022-12-16 23:01:29.577"
}
]
},
"RELATED_ENTITIES":
[
{
"ENTITY_ID": 5,
"MATCH_LEVEL": 2,
"MATCH_LEVEL_CODE": "POSSIBLY_SAME",
"MATCH_KEY": "+NAME+ADDRESS-DOB",
"ERRULE_CODE": "CNAME_CFF_DEXCL",
"IS_DISCLOSED": 0,
"IS_AMBIGUOUS": 0,
"ENTITY_NAME": "Robert E Smith Sr",
"RECORD_SUMMARY":
[
{
"DATA_SOURCE": "CUSTOMERS",
"RECORD_COUNT": 1,
"FIRST_SEEN_DT": "2022-12-16 23:01:29.591",
"LAST_SEEN_DT": "2022-12-16 23:01:29.591"
},
{
"DATA_SOURCE": "WATCHLIST",
"RECORD_COUNT": 1,
"FIRST_SEEN_DT": "2022-12-16 23:01:37.096",
"LAST_SEEN_DT": "2022-12-16 23:01:37.096"
}
],
"LAST_SEEN_DT": "2022-12-16 23:01:37.096"
},
{
"ENTITY_ID": 100002,
"MATCH_LEVEL": 3,
"MATCH_LEVEL_CODE": "POSSIBLY_RELATED",
"MATCH_KEY": "+ADDRESS+SURNAME",
"ERRULE_CODE": "CFF_SURNAME",
"IS_DISCLOSED": 0,
"IS_AMBIGUOUS": 0,
"ENTITY_NAME": "Patricia Smith",
"RECORD_SUMMARY":
[
{
"DATA_SOURCE": "WATCHLIST",
"RECORD_COUNT": 1,
"FIRST_SEEN_DT": "2022-12-16 23:01:37.149",
"LAST_SEEN_DT": "2022-12-16 23:01:37.149"
}
],
"LAST_SEEN_DT": "2022-12-16 23:01:37.149"
}
]
}
getVirtualEntityByRecordID
Use getVirtualEntityByRecordID() to create a view of a virtual entity using a list of existing loaded records. The virtual entity is composed of only those records and their features. Entity resolution is not performed.
g2_engine.getVirtualEntityByRecordID(record_list, response_bytearray, g2_engine_flags)
Parameters
- record_list: (str) A list of one or more records by DATA_SOURCE and RECORD_ID pairs, formatted as:
{"RECORDS":[{"DATA_SOURCE":"DS1","RECORD_ID":"R1"},{"DATA_SOURCE":"DS2","RECORD_ID":"R2"}]} - response_bytearray: (bytearray) Object to store the output of the method.
- g2_engine_flags: (int [optional]) One or more flags used to determine response document content. Applicable flags are listed here getEntity* flags)
Click to expand `getVirtualEntityByRecordID()` example
Example
#! /usr/bin/env python3
from senzing import G2Engine, G2Exception
# REPLACE /home/user/your_project with the path to your Senzing project
senzing_engine_configuration_json = '{ "PIPELINE": { "CONFIGPATH": "/home/user/your_project/etc", "SUPPORTPATH": "/home/user/your_project/data", "RESOURCEPATH": "/home/user/your_project/resources" }, "SQL": { "CONNECTION": "sqlite3://na:na@/home/user/your_project/var/sqlite/G2C.db" } }'
g2_engine = G2Engine()
record_list = '{"RECORDS": [{"DATA_SOURCE": "CUSTOMERS","RECORD_ID": "1001"},{"DATA_SOURCE": "CUSTOMERS","RECORD_ID": "1022"}]}'
response_bytearray = bytearray()
try:
g2_engine.init("G2Engine", senzing_engine_configuration_json)
g2_engine.getVirtualEntityByRecordID(
record_list,
response_bytearray)
g2_engine.destroy()
print(response_bytearray.decode())
except G2Exception as err:
print(err)
Output
{
"RESOLVED_ENTITY":
{
"ENTITY_ID": 1,
"ENTITY_NAME": "Mohamed Antoun",
"FEATURES":
{
"ADDRESS":
[
{
"FEAT_DESC": "123 Main Street, Las Vegas NV 89132",
"LIB_FEAT_ID": 3,
"USAGE_TYPE": "MAILING",
"FEAT_DESC_VALUES":
[
{
"FEAT_DESC": "123 Main Street, Las Vegas NV 89132",
"LIB_FEAT_ID": 3,
"USED_FOR_CAND": "N",
"USED_FOR_SCORING": "Y",
"ENTITY_COUNT": 1,
"CANDIDATE_CAP_REACHED": "N",
"SCORING_CAP_REACHED": "N",
"SUPPRESSED": "N"
}
]
}
],
"ADDR_KEY":
[
{
"FEAT_DESC": "123|MN||89132",
"LIB_FEAT_ID": 14,
"FEAT_DESC_VALUES":
[
{
"FEAT_DESC": "123|MN||89132",
"LIB_FEAT_ID": 14,
"USED_FOR_CAND": "Y",
"USED_FOR_SCORING": "N",
"ENTITY_COUNT": 2,
"CANDIDATE_CAP_REACHED": "N",
"SCORING_CAP_REACHED": "N",
"SUPPRESSED": "N"
}
]
},
{
"FEAT_DESC": "123|MN||LS FKS",
"LIB_FEAT_ID": 13,
"FEAT_DESC_VALUES":
[
{
"FEAT_DESC": "123|MN||LS FKS",
"LIB_FEAT_ID": 13,
"USED_FOR_CAND": "Y",
"USED_FOR_SCORING": "N",
"ENTITY_COUNT": 2,
"CANDIDATE_CAP_REACHED": "N",
"SCORING_CAP_REACHED": "N",
"SUPPRESSED": "N"
}
]
}
],
"DOB":
[
{
"FEAT_DESC": "1/7/80",
"LIB_FEAT_ID": 135,
"FEAT_DESC_VALUES":
[
{
"FEAT_DESC": "1/7/80",
"LIB_FEAT_ID": 135,
"USED_FOR_CAND": "Y",
"USED_FOR_SCORING": "Y",
"ENTITY_COUNT": 4,
"CANDIDATE_CAP_REACHED": "N",
"SCORING_CAP_REACHED": "N",
"SUPPRESSED": "N"
}
]
},
{
"FEAT_DESC": "12/11/1978",
"LIB_FEAT_ID": 2,
"FEAT_DESC_VALUES":
[
{
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