senzing package
The senzing Python package has 5 major modules / classes. Senzing objects are created using an Abstract Factory Pattern.
Module |
Class |
Creation |
---|---|---|
szconfig |
SzConfig |
sz_config = sz_abstract_factory.create_config() |
szconfigmanager |
SzConfigManager |
sz_configmanager = sz_abstract_factory.create_configmanager() |
szdiagnostic |
SzDiagnostic |
sz_diagnostic = sz_abstract_factory.create_diagnostic() |
szengine |
SzEngine |
sz_engine = sz_abstract_factory.create_engine() |
szproduct |
SzProduct |
sz_product = sz_abstract_factory.create_product() |
In the examples, the creation of the Senzing Abstract Factory has been abstracted to
from . import sz_abstract_factory
and the creation of the Senzing objects has been abstracted to
from . import sz_engine
Using the senzing-core Python package, the implementation looks like the following:
1from senzing_core import SzAbstractFactoryCore
2
3from senzing import (
4 SzAbstractFactory,
5 SzConfig,
6 SzConfigManager,
7 SzDiagnostic,
8 SzEngine,
9 SzError,
10 SzProduct,
11)
12
13INSTANCE_NAME = "Example"
14SETTINGS = {
15 "PIPELINE": {
16 "CONFIGPATH": "/etc/opt/senzing",
17 "RESOURCEPATH": "/opt/senzing/er/resources",
18 "SUPPORTPATH": "/opt/senzing/data",
19 },
20 "SQL": {"CONNECTION": "sqlite3://na:na@/tmp/sqlite/G2C.db"},
21}
22
23
24def get_sz_abstract_factory() -> SzAbstractFactory:
25 """Example AbstractFactory"""
26 try:
27 result = SzAbstractFactoryCore(INSTANCE_NAME, SETTINGS)
28 except SzError as err:
29 print(f"\nERROR: {err}\n")
30 return result
31
32
33def get_sz_config() -> SzConfig:
34 """Example Config"""
35 return get_sz_abstract_factory().create_config()
36
37
38def get_sz_configmanager() -> SzConfigManager:
39 """Example ConfigManager"""
40 return get_sz_abstract_factory().create_configmanager()
41
42
43def get_sz_diagnostic() -> SzDiagnostic:
44 """Example Diagnostic"""
45 return get_sz_abstract_factory().create_diagnostic()
46
47
48def get_sz_engine() -> SzEngine:
49 """Example Engine"""
50 return get_sz_abstract_factory().create_engine()
51
52
53def get_sz_product() -> SzProduct:
54 """Example Product"""
55 return get_sz_abstract_factory().create_product()
56
57
58sz_abstract_factory = get_sz_abstract_factory()
59sz_config = get_sz_config()
60sz_configmanager = get_sz_configmanager()
61sz_diagnostic = get_sz_diagnostic()
62sz_engine = get_sz_engine()
63sz_product = get_sz_product()
Naturally, the __init__.py
file needs to be modified to support importing the variables.
For the full implementation of the documentation examples, visit the source code on
GitHub.
szabstractfactory
szabstractfactory.py is the abstract class for all implementations of SzAbstractFactory.
- class senzing.szabstractfactory.SzAbstractFactory[source]
Bases:
ABC
SzAbstractFactory is the definition of the Senzing Python SDK SzAbstractFactory implementations.
- abstract create_config() SzConfig [source]
The create_config method creates a new implementation of an SzConfig object.
Args:
- Returns:
A new implementation.
- Return type:
Raises:
Example:
1from senzing import SzError 2 3from . import sz_abstract_factory 4 5try: 6 sz_config = sz_abstract_factory.create_config() 7except SzError as err: 8 print(f"\nERROR: {err}\n")
Output:
1// No output from this example.
- abstract create_configmanager() SzConfigManager [source]
The create_configmanager method creates a new implementation of an SzConfigManager object.
Args:
- Returns:
A new implementation.
- Return type:
Raises:
Example:
1from senzing import SzError 2 3from . import sz_abstract_factory 4 5try: 6 sz_configmanager = sz_abstract_factory.create_configmanager() 7except SzError as err: 8 print(f"\nERROR: {err}\n")
Output:
1// No output from this example.
- abstract create_diagnostic() SzDiagnostic [source]
The create_diagnostic method creates a new implementation of an SzDiagnostic object.
Args:
- Returns:
A new implementation.
- Return type:
Raises:
Example:
1from senzing import SzError 2 3from . import sz_abstract_factory 4 5try: 6 sz_diagnostic = sz_abstract_factory.create_diagnostic() 7except SzError as err: 8 print(f"\nERROR: {err}\n")
Output:
1// No output from this example.
- abstract create_engine() SzEngine [source]
The create_engine method creates a new implementation of an SzEngine object.
Args:
- Returns:
A new implementation.
- Return type:
Raises:
Example:
1from senzing import SzError 2 3from . import sz_abstract_factory 4 5try: 6 sz_engine = sz_abstract_factory.create_engine() 7except SzError as err: 8 print(f"\nERROR: {err}\n")
Output:
1// No output from this example.
- abstract create_product() SzProduct [source]
The create_product method creates a new implementation of an SzProduct object.
Args:
- Returns:
A new implementation.
- Return type:
Raises:
Example:
1from senzing import SzError 2 3from . import sz_abstract_factory 4 5try: 6 sz_product = sz_abstract_factory.create_product() 7except SzError as err: 8 print(f"\nERROR: {err}\n")
Output:
1// No output from this example.
- help(method_name: str = '') str [source]
Return the help for a particular message.
- Parameters:
method_name (str) – The name of the method. (e.g. “init”). If empty, a list of methods and descriptions is returned.
- Returns:
The Help information about the requested method
- Return type:
str
- abstract reinitialize(config_id: int) None [source]
The reinitialize method reinitializes the Senzing objects using a specific configuration identifier. A list of available configuration identifiers can be retrieved using szconfigmanager.get_configs.
- Parameters:
config_id (int) – The configuration ID used for the initialization
- Raises:
TypeError – Incorrect datatype of input parameter.
szexception.SzError – config_id does not exist.
Example:
1from senzing import SzError 2 3from . import sz_abstract_factory 4 5try: 6 # Using get_active_config_id for demonstrations purposes. 7 sz_engine = sz_abstract_factory.create_engine() 8 config_id = sz_engine.get_active_config_id() 9 sz_abstract_factory.reinitialize(config_id) 10except SzError as err: 11 print(f"\nERROR: {err}\n")
szconfig
szconfig.py is the abstract class for all implementations of SzConfig.
- class senzing.szconfig.SzConfig[source]
Bases:
ABC
SzConfig is the definition of the Senzing Python SDK that is implemented by packages such as szconfig.py.
- abstract add_data_source(config_handle: int, data_source_code: str) str [source]
The add_data_source method adds a data source to an existing in-memory configuration.
- Parameters:
config_handle (int) – An identifier of an in-memory configuration. Usually created by the create or load methods.
data_source_code (str) – Name of data source code to add.
- Returns:
A string containing a JSON document listing the newly created data source.
- Return type:
str
- Raises:
TypeError – Incorrect datatype of input parameter.
Example:
1from senzing import SzError 2 3from . import sz_config 4 5try: 6 DATA_SOURCE_CODE = "NAME_OF_DATASOURCE" 7 config_handle = sz_config.create_config() 8 result = sz_config.add_data_source(config_handle, DATA_SOURCE_CODE) 9 sz_config.close_config(config_handle) 10 print(f"\n{result}\n") 11except SzError as err: 12 print(f"\nERROR: {err}\n")
Output:
1// Output has been formatted for easier reading. 2 3{ 4 "DSRC_ID": 1001 5}
- abstract close_config(config_handle: int) None [source]
The close_config method cleans up the Senzing SzConfig object pointed to by the config_handle.
- Parameters:
config_handle (int) – An identifier of an in-memory configuration. Usually created by the create_config or import_config methods.
- Raises:
TypeError – Incorrect datatype of input parameter.
Example:
1from senzing import SzError 2 3from . import sz_config 4 5try: 6 config_handle = sz_config.create_config() 7 8 # Do work. 9 10 sz_config.close_config(config_handle) 11except SzError as err: 12 print(f"\nERROR: {err}\n")
- abstract create_config() int [source]
The create_config method creates an in-memory Senzing configuration from the g2config.json template configuration file located in the PIPELINE.RESOURCEPATH path. A handle is returned to identify the in-memory configuration. The handle is used by the add_data_source, list_data_sources, delete_data_source, and export_config methods. The handle is terminated by the close_config method.
- Returns:
A pointer to an in-memory Senzing configuration.
- Return type:
int
- Raises:
TypeError – Incorrect datatype of input parameter.
Example:
1from senzing import SzError 2 3from . import sz_config 4 5try: 6 config_handle = sz_config.create_config() 7 8 # Do work. 9 10 sz_config.close_config(config_handle) 11except SzError as err: 12 print(f"\nERROR: {err}\n")
- abstract delete_data_source(config_handle: int, data_source_code: str) None [source]
The delete_data_source method removes a data source from an existing in-memory configuration.
- Parameters:
config_handle (int) – An identifier of an in-memory configuration. Usually created by the create or load methods.
data_source_code (str) – Name of data source code to delete.
- Raises:
TypeError – Incorrect datatype of input parameter.
Example:
1from senzing import SzError 2 3from . import sz_config 4 5try: 6 DATA_SOURCE_CODE = "TEST" 7 config_handle = sz_config.create_config() 8 sz_config.delete_data_source(config_handle, DATA_SOURCE_CODE) 9 sz_config.close_config(config_handle) 10except SzError as err: 11 print(f"\nERROR: {err}\n")
- abstract export_config(config_handle: int) str [source]
The export_config method creates a JSON string representation of the Senzing SzConfig object.
- Parameters:
config_handle (int) – An identifier of an in-memory configuration. Usually created by the create or load methods.
- Returns:
A string containing a JSON Document representation of the Senzing SzConfig object.
- Return type:
str
- Raises:
TypeError – Incorrect datatype of input parameter.
Example:
1from senzing import SzError 2 3from . import sz_config 4 5try: 6 config_handle = sz_config.create_config() # Create first in-memory. 7 config_definition = sz_config.export_config(config_handle) # Save in-memory to string. 8 sz_config.close_config(config_handle) 9 print(f"\n{config_definition}\n") 10except SzError as err: 11 print(f"\nERROR: {err}\n")
Output:
1// Output has been formatted and pruned for easier reading. 2// To view a complete configuration, visit /opt/senzing/er/resources/templates/g2config.json 3 4{ 5 "G2_CONFIG": { 6 "CFG_ATTR": [], 7 "CFG_CFBOM": [], 8 "CFG_CFCALL": [], 9 "CFG_CFRTN": [], 10 "CFG_CFUNC": [], 11 "CFG_DFBOM": [], 12 "CFG_DFCALL": [], 13 "CFG_DFUNC": [], 14 "CFG_DSRC": [], 15 "CFG_DSRC_INTEREST": [], 16 "CFG_ECLASS": [], 17 "CFG_EFBOM": [], 18 "CFG_EFCALL": [], 19 "CFG_EFUNC": [], 20 "CFG_ERFRAG": [], 21 "CFG_ERRULE": [], 22 "CFG_ETYPE": [], 23 "CFG_FBOM": [], 24 "CFG_FBOVR": [], 25 "CFG_FCLASS": [], 26 "CFG_FELEM": [], 27 "CFG_FTYPE": [], 28 "CFG_GENERIC_THRESHOLD": [], 29 "CFG_GPLAN": [], 30 "CFG_LENS": [], 31 "CFG_LENSRL": [], 32 "CFG_RCLASS": [], 33 "CFG_RTYPE": [], 34 "CFG_SFCALL": [], 35 "CFG_SFUNC": [], 36 "SYS_OOM": [], 37 "CONFIG_BASE_VERSION": { 38 "VERSION": "4.0.0", 39 "BUILD_VERSION": "4.0.0.00000", 40 "BUILD_DATE": "2025-01-01", 41 "BUILD_NUMBER": "00000", 42 "COMPATIBILITY_VERSION": { 43 "CONFIG_VERSION": "11" 44 } 45 } 46 } 47}
Create, export, import, and close example
1from senzing import SzError 2 3from . import sz_config 4 5try: 6 config_handle_1 = sz_config.create_config() # Create first in-memory. 7 config_definition = sz_config.export_config(config_handle_1) # Save in-memory to string. 8 config_handle_2 = sz_config.import_config(config_definition) # Create second in-memory. 9 sz_config.close_config(config_handle_1) 10 sz_config.close_config(config_handle_2) 11except SzError as err: 12 print(f"\nERROR: {err}\n")
- abstract get_data_sources(config_handle: int) str [source]
The get_data_sources method returns a JSON document of data sources contained in an in-memory configuration.
- Parameters:
config_handle (int) – An identifier of an in-memory configuration. Usually created by the create or load methods.
- Returns:
A string containing a JSON document listing all of the data sources.
- Return type:
str
- Raises:
TypeError – Incorrect datatype of input parameter.
Example:
1from senzing import SzError 2 3from . import sz_config 4 5try: 6 config_handle = sz_config.create_config() 7 result = sz_config.get_data_sources(config_handle) 8 sz_config.close_config(config_handle) 9 print(f"\n{result}\n") 10except SzError as err: 11 print(f"\nERROR: {err}\n")
Output:
1// Output has been formatted for easier reading. 2 3{ 4 "DATA_SOURCES": [ 5 { 6 "DSRC_ID": 1, 7 "DSRC_CODE": "TEST" 8 }, 9 { 10 "DSRC_ID": 2, 11 "DSRC_CODE": "SEARCH" 12 } 13 ] 14}
- help(method_name: str = '') str [source]
Return the help for a particular message.
- Parameters:
method_name (str) – The name of the method. (e.g. “init”). If empty, a list of methods and descriptions is returned.
- Returns:
The Help information about the requested method
- Return type:
str
- abstract import_config(config_definition: str) int [source]
The import_config method initializes an in-memory Senzing SzConfig object from a JSON string. A handle is returned to identify the in-memory configuration. The handle is used by the add_data_source, get_data_sources, delete_data_source, and save methods. The handle is terminated by the close method.
- Parameters:
config_definition (str) – A JSON document containing the Senzing configuration.
- Returns:
An identifier (config_handle) of an in-memory configuration.
- Return type:
int
- Raises:
TypeError – Incorrect datatype of input parameter.
Example:
1from senzing import SzError 2 3from . import sz_abstract_factory 4 5try: 6 sz_config = sz_abstract_factory.create_config() 7 sz_configmanager = sz_abstract_factory.create_configmanager() 8 config_id = sz_configmanager.get_default_config_id() 9 config_definition = sz_configmanager.get_config(config_id) 10 config_handle = sz_config.import_config(config_definition) 11except SzError as err: 12 print(f"\nERROR: {err}\n")
Create, save, load, and close
1from senzing import SzError 2 3from . import sz_config 4 5try: 6 config_handle_1 = sz_config.create_config() # Create first in-memory. 7 config_definition = sz_config.export_config(config_handle_1) # Save in-memory to string. 8 config_handle_2 = sz_config.import_config(config_definition) # Create second in-memory. 9 sz_config.close_config(config_handle_1) 10 sz_config.close_config(config_handle_2) 11except SzError as err: 12 print(f"\nERROR: {err}\n")
szconfigmanager
szconfigmanager.py is the abstract class for all implementations of SzConfigManager.
- class senzing.szconfigmanager.SzConfigManager[source]
Bases:
ABC
SzConfigManager is the definition of the Senzing Python SDK that is implemented by packages such as szconfigmanager.py.
- abstract add_config(config_definition: str, config_comment: str) int [source]
The add_config method adds a Senzing configuration JSON document to the Senzing database.
- Parameters:
config_definition (str) – The Senzing configuration JSON document.
config_comment (str) – free-form string of comments describing the configuration document.
- Returns:
A configuration identifier.
- Return type:
int
- Raises:
TypeError – Incorrect datatype of input parameter.
Example:
1from senzing import SzError 2 3from . import sz_abstract_factory 4 5try: 6 CONFIG_COMMENT = "Just an empty example" 7 sz_config = sz_abstract_factory.create_config() 8 sz_configmanager = sz_abstract_factory.create_configmanager() 9 config_handle = sz_config.create_config() 10 config_definition = sz_config.export_config(config_handle) 11 config_id = sz_configmanager.add_config(config_definition, CONFIG_COMMENT) 12except SzError as err: 13 print(f"\nERROR: {err}\n")
- abstract get_config(config_id: int) str [source]
The get_config method retrieves a specific Senzing configuration JSON document from the Senzing database.
- Parameters:
config_id (int) – The configuration identifier of the desired Senzing Engine configuration JSON document to retrieve.
- Returns:
A JSON document containing the Senzing configuration.
- Return type:
str
- Raises:
TypeError – Incorrect datatype of input parameter.
Example:
1from senzing import SzError 2 3from . import sz_configmanager 4 5try: 6 config_id = sz_configmanager.get_default_config_id() 7 config_definition = sz_configmanager.get_config(config_id) 8 print(f"\n{config_definition}\n") 9except SzError as err: 10 print(f"\nERROR: {err}\n")
Output:
1// Output has been formatted and pruned for easier reading. 2 3{ 4 "G2_CONFIG": { 5 "CFG_ATTR": [ 6 { 7 "ATTR_ID": 1001, 8 "ATTR_CODE": "DATA_SOURCE", 9 "ATTR_CLASS": "OBSERVATION", 10 "FTYPE_CODE": null, 11 "FELEM_CODE": null, 12 "FELEM_REQ": "Yes", 13 "DEFAULT_VALUE": null, 14 "INTERNAL": "No" 15 } 16 ], 17 "CFG_CFBOM": [ 18 { 19 "CFCALL_ID": 1, 20 "FTYPE_ID": 1, 21 "FELEM_ID": 2, 22 "EXEC_ORDER": 1 23 } 24 ], 25 "CFG_CFCALL": [ 26 { 27 "CFCALL_ID": 1, 28 "FTYPE_ID": 1, 29 "CFUNC_ID": 2 30 } 31 ], 32 "CFG_CFRTN": [ 33 { 34 "CFRTN_ID": 1, 35 "CFUNC_ID": 1, 36 "FTYPE_ID": 0, 37 "CFUNC_RTNVAL": "FULL_SCORE", 38 "EXEC_ORDER": 1, 39 "SAME_SCORE": 100, 40 "CLOSE_SCORE": 90, 41 "LIKELY_SCORE": 80, 42 "PLAUSIBLE_SCORE": 70, 43 "UN_LIKELY_SCORE": 60 44 } 45 ], 46 "CFG_CFUNC": [ 47 { 48 "CFUNC_ID": 1, 49 "CFUNC_CODE": "STR_COMP", 50 "CFUNC_DESC": "String comparison", 51 "CONNECT_STR": "g2StringComp", 52 "ANON_SUPPORT": "Yes", 53 "LANGUAGE": null 54 } 55 ], 56 "CFG_DFBOM": [ 57 { 58 "DFCALL_ID": 1, 59 "FTYPE_ID": 1, 60 "FELEM_ID": 2, 61 "EXEC_ORDER": 1 62 } 63 ], 64 "CFG_DFCALL": [ 65 { 66 "DFCALL_ID": 1, 67 "FTYPE_ID": 1, 68 "DFUNC_ID": 5 69 } 70 ], 71 "CFG_DFUNC": [ 72 { 73 "DFUNC_ID": 1, 74 "DFUNC_CODE": "FELEM_STRICT_SUBSET", 75 "DFUNC_DESC": "Strict subset of felems", 76 "CONNECT_STR": "g2StrictSubsetFelems", 77 "ANON_SUPPORT": "Yes", 78 "LANGUAGE": null 79 } 80 ], 81 "CFG_DSRC": [ 82 { 83 "DSRC_ID": 1, 84 "DSRC_CODE": "TEST", 85 "DSRC_DESC": "Test", 86 "RETENTION_LEVEL": "Remember" 87 } 88 ], 89 "CFG_DSRC_INTEREST": [], 90 "CFG_EFBOM": [ 91 { 92 "EFCALL_ID": 1, 93 "FTYPE_ID": 6, 94 "FELEM_ID": 60, 95 "EXEC_ORDER": 1, 96 "FELEM_REQ": "Yes" 97 } 98 ], 99 "CFG_EFCALL": [ 100 { 101 "EFCALL_ID": 1, 102 "FTYPE_ID": 6, 103 "FELEM_ID": -1, 104 "EFUNC_ID": 4, 105 "EXEC_ORDER": 1, 106 "EFEAT_FTYPE_ID": -1, 107 "IS_VIRTUAL": "No" 108 } 109 ], 110 "CFG_EFUNC": [ 111 { 112 "EFUNC_ID": 1, 113 "EFUNC_CODE": "EXPRESS_BOM", 114 "EFUNC_DESC": "General BOM Hasher", 115 "CONNECT_STR": "g2GenericHasher", 116 "LANGUAGE": null 117 } 118 ], 119 "CFG_ERFRAG": [ 120 { 121 "ERFRAG_ID": 11, 122 "ERFRAG_CODE": "SAME_NAME", 123 "ERFRAG_DESC": "SAME_NAME", 124 "ERFRAG_SOURCE": "./FRAGMENT[./GNR_SAME_NAME>0]", 125 "ERFRAG_DEPENDS": "301" 126 } 127 ], 128 "CFG_ERRULE": [ 129 { 130 "ERRULE_ID": 100, 131 "ERRULE_CODE": "SAME_A1", 132 "RESOLVE": "Yes", 133 "RELATE": "No", 134 "RTYPE_ID": 1, 135 "QUAL_ERFRAG_CODE": "SAME_A1", 136 "DISQ_ERFRAG_CODE": null, 137 "ERRULE_TIER": 10 138 } 139 ], 140 "CFG_FBOM": [ 141 { 142 "FTYPE_ID": 1, 143 "FELEM_ID": 2, 144 "EXEC_ORDER": 1, 145 "DISPLAY_LEVEL": 1, 146 "DISPLAY_DELIM": null, 147 "DERIVED": "No" 148 } 149 ], 150 "CFG_FBOVR": [ 151 { 152 "FTYPE_ID": 5, 153 "UTYPE_CODE": "BUSINESS", 154 "FTYPE_FREQ": "FF", 155 "FTYPE_EXCL": "Yes", 156 "FTYPE_STAB": "No" 157 } 158 ], 159 "CFG_FCLASS": [ 160 { 161 "FCLASS_ID": 1, 162 "FCLASS_CODE": "NAME" 163 } 164 ], 165 "CFG_FELEM": [ 166 { 167 "FELEM_ID": 2, 168 "FELEM_CODE": "FULL_NAME", 169 "FELEM_DESC": "Full name", 170 "DATA_TYPE": "string" 171 } 172 ], 173 "CFG_FTYPE": [ 174 { 175 "FTYPE_ID": 1, 176 "FTYPE_CODE": "NAME", 177 "FTYPE_DESC": "Name", 178 "FCLASS_ID": 1, 179 "FTYPE_FREQ": "NAME", 180 "FTYPE_EXCL": "No", 181 "FTYPE_STAB": "No", 182 "PERSIST_HISTORY": "Yes", 183 "USED_FOR_CAND": "No", 184 "DERIVED": "No", 185 "RTYPE_ID": 0, 186 "ANONYMIZE": "No", 187 "VERSION": 2, 188 "SHOW_IN_MATCH_KEY": "Yes" 189 } 190 ], 191 "CFG_GENERIC_THRESHOLD": [ 192 { 193 "GPLAN_ID": 1, 194 "BEHAVIOR": "NAME", 195 "FTYPE_ID": 0, 196 "CANDIDATE_CAP": 10, 197 "SCORING_CAP": -1, 198 "SEND_TO_REDO": "Yes" 199 } 200 ], 201 "CFG_GPLAN": [ 202 { 203 "GPLAN_ID": 1, 204 "GPLAN_CODE": "INGEST", 205 "GPLAN_DESC": "Standard Ingestion" 206 } 207 ], 208 "CFG_RCLASS": [ 209 { 210 "RCLASS_ID": 1, 211 "RCLASS_CODE": "DERIVED", 212 "RCLASS_DESC": "Derived", 213 "IS_DISCLOSED": "No" 214 } 215 ], 216 "CFG_RTYPE": [ 217 { 218 "RTYPE_ID": 1, 219 "RTYPE_CODE": "RESOLVED", 220 "RTYPE_DESC": "Resolved", 221 "RCLASS_ID": 1, 222 "BREAK_RES": "No" 223 } 224 ], 225 "CFG_SFCALL": [ 226 { 227 "SFCALL_ID": 1, 228 "FTYPE_ID": 1, 229 "FELEM_ID": -1, 230 "SFUNC_ID": 1, 231 "EXEC_ORDER": 1 232 } 233 ], 234 "CFG_SFUNC": [ 235 { 236 "SFUNC_ID": 1, 237 "SFUNC_CODE": "PARSE_NAME", 238 "SFUNC_DESC": "Parse name", 239 "CONNECT_STR": "g2ParseName", 240 "LANGUAGE": null 241 } 242 ], 243 "SYS_OOM": [ 244 { 245 "OOM_TYPE": "RF", 246 "OOM_LEVEL": "SYSDEFAULT", 247 "FTYPE_ID": 0, 248 "THRESH1_CNT": 100, 249 "THRESH1_OOM": 10, 250 "NEXT_THRESH": 1000 251 } 252 ], 253 "SETTINGS": { 254 "METAPHONE_VERSION": 3 255 }, 256 "CONFIG_BASE_VERSION": { 257 "VERSION": "4.0.0", 258 "BUILD_VERSION": "4.0.0.00000", 259 "BUILD_DATE": "2025-01-01", 260 "BUILD_NUMBER": "00000", 261 "COMPATIBILITY_VERSION": { 262 "CONFIG_VERSION": "11" 263 } 264 } 265 } 266}
- abstract get_configs() str [source]
The get_configs method retrieves a list of Senzing configurations from the Senzing database.
- Returns:
A JSON document containing Senzing configurations.
- Return type:
str
- Raises:
TypeError – Incorrect datatype of input parameter.
Example:
1from senzing import SzError 2 3from . import sz_configmanager 4 5try: 6 config_list = sz_configmanager.get_configs() 7 print(f"\n{config_list}\n") 8except SzError as err: 9 print(f"\nERROR: {err}\n")
Output:
1// Output has been formatted for easier reading. 2 3{ 4 "CONFIGS": [ 5 { 6 "CONFIG_ID": 41320074, 7 "CONFIG_COMMENTS": "Default Senzing configuration", 8 "SYS_CREATE_DT": "YYYY-MM-DD HH:MM:SS.mmm" 9 }, 10 { 11 "CONFIG_ID": 490826130, 12 "CONFIG_COMMENTS": "Test", 13 "SYS_CREATE_DT": "YYYY-MM-DD HH:MM:SS.mmm" 14 } 15 ] 16}
- abstract get_default_config_id() int [source]
The get_default_config_id method retrieves from the Senzing database the configuration identifier of the default Senzing configuration.
- Returns:
A configuration identifier which identifies the current configuration in use.
- Return type:
int
- Raises:
TypeError – Incorrect datatype of input parameter.
Example:
1from senzing import SzError 2 3from . import sz_configmanager 4 5try: 6 config_id = sz_configmanager.get_default_config_id() 7 print(f"\n{config_id}\n") 8except SzError as err: 9 print(f"\nERROR: {err}\n")
- help(method_name: str = '') str [source]
Return the help for a particular message.
- Parameters:
method_name (str) – The name of the method. (e.g. “init”). If empty, a list of methods and descriptions is returned.
- Returns:
The Help information about the requested method
- Return type:
str
- abstract replace_default_config_id(current_default_config_id: int, new_default_config_id: int) None [source]
The replace_default_config_id method replaces the old configuration identifier with a new configuration identifier in the Senzing database. It is like a “compare-and-swap” instruction to serialize concurrent editing of configuration. If current_default_config_id is no longer the “current configuration identifier”, the operation will fail. To simply set the default configuration ID, use set_default_config_id.
- Parameters:
current_default_config_id (int) – The configuration identifier to replace.
new_default_config_id (int) – The configuration identifier to use as the default.
- Raises:
TypeError – Incorrect datatype of input parameter.
Example:
1import time 2 3from senzing import SzError 4 5from . import sz_abstract_factory 6 7try: 8 CONFIG_COMMENT = "Just an example" 9 data_source_code = f"REPLACE_DEFAULT_CONFIG_ID_{time.time()}" 10 sz_config = sz_abstract_factory.create_config() 11 sz_configmanager = sz_abstract_factory.create_configmanager() 12 current_default_config_id = sz_configmanager.get_default_config_id() 13 14 # Create a new config. 15 16 current_config_definition = sz_configmanager.get_config(current_default_config_id) 17 current_config_handle = sz_config.import_config(current_config_definition) 18 sz_config.add_data_source(current_config_handle, data_source_code) 19 new_config_definition = sz_config.export_config(current_config_handle) 20 new_default_config_id = sz_configmanager.add_config(new_config_definition, CONFIG_COMMENT) 21 22 # Replace default config id. 23 24 sz_configmanager.replace_default_config_id(current_default_config_id, new_default_config_id) 25except SzError as err: 26 print(f"\nERROR: {err}\n")
- abstract set_default_config_id(config_id: int) None [source]
The set_default_config_id method replaces and sets a new configuration identifier in the Senzing database. To serialize modifying of the configuration identifier, see replace_default_config_id.
- Parameters:
config_id (int) – The configuration identifier of the Senzing Engine configuration to use as the default.
- Raises:
TypeError – Incorrect datatype of input parameter.
Example:
1import time 2 3from senzing import SzError 4 5from . import sz_abstract_factory 6 7try: 8 CONFIG_COMMENT = "Just an example" 9 data_source_code = f"REPLACE_DEFAULT_CONFIG_ID_{time.time()}" 10 sz_config = sz_abstract_factory.create_config() 11 sz_configmanager = sz_abstract_factory.create_configmanager() 12 old_config_id = sz_configmanager.get_default_config_id() 13 14 # Create a new config. 15 16 old_config_definition = sz_configmanager.get_config(old_config_id) 17 old_config_handle = sz_config.import_config(old_config_definition) 18 sz_config.add_data_source(old_config_handle, data_source_code) 19 new_config_definition = sz_config.export_config(old_config_handle) 20 config_id = sz_configmanager.add_config(new_config_definition, CONFIG_COMMENT) 21 22 # Set default config id. 23 24 sz_configmanager.set_default_config_id(config_id) 25except SzError as err: 26 print(f"\nERROR: {err}\n")
szdiagnostic
szdiagnostic.py is the abstract class for all implementations of SzDiagnostic.
- class senzing.szdiagnostic.SzDiagnostic[source]
Bases:
ABC
Senzing diagnostic module access library
- abstract check_datastore_performance(seconds_to_run: int) str [source]
The check_datastore_performance method performs inserts to determine rate of insertion.
- Parameters:
seconds_to_run (int) – Duration of the test in seconds.
- Returns:
A string containing a JSON document.
- Return type:
str
- Raises:
TypeError – Incorrect datatype of input parameter.
szexception.SzError –
Example:
1from senzing import SzError 2 3from . import sz_diagnostic 4 5try: 6 SECONDS_TO_RUN = 3 7 result = sz_diagnostic.check_datastore_performance(SECONDS_TO_RUN) 8 print(f"\n{result}\n") 9except SzError as err: 10 print(f"\nERROR: {err}\n")
Output:
1// Output has been formatted for easier reading. 2 3{ 4 "numRecordsInserted": 0, 5 "insertTime": 0 6}
- abstract get_datastore_info() str [source]
The get_datastore_info method returns a JSON document with details of the datastore currently in use by Senzing.
- Raises:
szexception.SzError –
Example:
1from senzing import SzError 2 3from . import sz_diagnostic 4 5try: 6 result = sz_diagnostic.get_datastore_info() 7 print(f"\n{result}\n") 8except SzError as err: 9 print(f"\nERROR: {err}\n")
Output:
1// Output has been formatted for easier reading. 2 3{ 4 "dataStores": [ 5 { 6 "id": "CORE", 7 "type": "sqlite3", 8 "location": "/tmp/sqlite/G2C.db" 9 } 10 ] 11}
- abstract get_feature(feature_id: int) str [source]
Warning: The get_feature method is an experimental method that returns diagnostic information of a feature. Not recommended for use.
- Parameters:
feature_id (int) – The identifier of the feature to describe.
- Returns:
A string containing a JSON document
- Return type:
str
- help(method_name: str = '') str [source]
Return the help for a particular message.
- Parameters:
method_name (str) – The name of the method. (e.g. “init”). If empty, a list of methods and descriptions is returned.
- Returns:
The Help information about the requested method
- Return type:
str
- abstract purge_repository() None [source]
Warning: The purge_repository method removes every record in the Senzing repository.
Before calling purge_repository all other instances of the Senzing API MUST be destroyed or shutdown.
Raises:
Example:
1from senzing import SzError 2 3from . import get_sz_diagnostic 4 5try: 6 sz_diagnostic = get_sz_diagnostic() 7 # WARNING 8 # WARNING - This will remove all loaded and entity resolved data from the Senzing repository, use with caution! 9 # WARNING - Uncomment the purge_repository() call below to complete a purge 10 # WARNING 11 12 # sz_diagnostic.purge_repository() 13except SzError as err: 14 print(f"\nERROR: {err}\n")
szengine
szengine.py is the abstract class for all implementations of SzEngine.
- class senzing.szengine.SzEngine[source]
Bases:
ABC
Senzing engine module access library
- abstract add_record(data_source_code: str, record_id: str, record_definition: str, flags: int = 0) str [source]
The add_record method adds a record into the Senzing repository. Can be called as many times as desired and from multiple threads at the same time.
- Parameters:
data_source_code (str) – Identifies the provenance of the data.
record_id (str) – The unique identifier within the records of the same data source.
record_definition (str) – A JSON document containing the record to be added to the Senzing repository.
flags (int, optional) – Flags used to control information returned. Defaults to 0.
- Returns:
If flags are set to return the WITH_INFO response a JSON document containing the details, otherwise an empty string.
- Return type:
str
Raises:
Example:
1import json 2 3from senzing import SzEngineFlags, SzError 4 5from . import sz_engine 6 7try: 8 DATA_SOURCE_CODE = "TEST" 9 flags = SzEngineFlags.SZ_WITH_INFO 10 record_definition = json.dumps( 11 { 12 "RECORD_TYPE": "PERSON", 13 "PRIMARY_NAME_LAST": "Smith", 14 "PRIMARY_NAME_FIRST": "Robert", 15 "DATE_OF_BIRTH": "12/11/1978", 16 "ADDR_TYPE": "MAILING", 17 "ADDR_LINE1": "123 Main Street, Las Vegas NV 89132", 18 "PHONE_TYPE": "HOME", 19 "PHONE_NUMBER": "702-919-1300", 20 "EMAIL_ADDRESS": "bsmith@work.com", 21 "DATE": "1/2/18", 22 "STATUS": "Active", 23 "AMOUNT": "100", 24 } 25 ) 26 RECORD_ID = "1" 27 result = sz_engine.add_record(DATA_SOURCE_CODE, RECORD_ID, record_definition, flags) 28 print(f"\n{result}\n") 29except SzError as err: 30 print(f"\nERROR: {err}\n")
Output:
1// Output has been formatted for easier reading. 2 3{ 4 "DATA_SOURCE": "TEST", 5 "RECORD_ID": "1", 6 "AFFECTED_ENTITIES": [ 7 { 8 "ENTITY_ID": 1 9 }, 10 { 11 "ENTITY_ID": 35 12 } 13 ], 14 "INTERESTING_ENTITIES": { 15 "ENTITIES": [] 16 } 17}
- abstract close_export(export_handle: int) None [source]
The close_export method closes the exported document created by export_json_entity_report. It is part of the export_json_entity_report, fetch_next, close_export lifecycle of a list of sized entities.
- Parameters:
export_handle (int) – A handle created by export_json_entity_report or export_csv_entity_report.
Raises:
Example:
1from senzing import SzEngineFlags, SzError 2 3from . import sz_engine 4 5try: 6 flags = SzEngineFlags.SZ_EXPORT_DEFAULT_FLAGS 7 export_handle = sz_engine.export_json_entity_report(flags) 8 while True: 9 fragment = sz_engine.fetch_next(export_handle) 10 if not fragment: 11 break 12 print(fragment, end="") 13 sz_engine.close_export(export_handle) 14except SzError as err: 15 print(f"\nERROR: {err}\n")
Output:
1{"RESOLVED_ENTITY":{"ENTITY_ID":1,"ENTITY_NAME":"","FEATURES":{},"RECORD_SUMMARY":[{"DATA_SOURCE":"TEST","RECORD_COUNT":1}],"RECORDS":[{"DATA_SOURCE":"TEST","RECORD_ID":"2","INTERNAL_ID":1,"MATCH_KEY":"","MATCH_LEVEL_CODE":"","ERRULE_CODE":"","FIRST_SEEN_DT":"2024-10-25T17:38:57Z","LAST_SEEN_DT":"2024-10-25T17:38:57Z"}]},"RELATED_ENTITIES":[]} 2{"RESOLVED_ENTITY":{"ENTITY_ID":35,"ENTITY_NAME":"Robert Smith","FEATURES":{"ADDRESS":[{"FEAT_DESC":"1515 Adela Lane Las Vegas NV 89111","LIB_FEAT_ID":22,"USAGE_TYPE":"HOME","FEAT_DESC_VALUES":[{"FEAT_DESC":"1515 Adela Lane Las Vegas NV 89111","LIB_FEAT_ID":22}]},{"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":"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":21}]}],"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":"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":38},{"FEAT_DESC":"Bob Smith","LIB_FEAT_ID":20}]}],"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":10,"FEAT_DESC_VALUES":[{"FEAT_DESC":"PERSON","LIB_FEAT_ID":10}]}]},"RECORD_SUMMARY":[{"DATA_SOURCE":"CUSTOMERS","RECORD_COUNT":3}],"RECORDS":[{"DATA_SOURCE":"CUSTOMERS","RECORD_ID":"1001","INTERNAL_ID":35,"MATCH_KEY":"","MATCH_LEVEL_CODE":"","ERRULE_CODE":"","FIRST_SEEN_DT":"2024-10-25T17:39:00Z","LAST_SEEN_DT":"2024-10-25T17:39:00Z"},{"DATA_SOURCE":"CUSTOMERS","RECORD_ID":"1002","INTERNAL_ID":36,"MATCH_KEY":"+NAME+DOB+PHONE","MATCH_LEVEL_CODE":"RESOLVED","ERRULE_CODE":"CNAME_CFF_CEXCL","FIRST_SEEN_DT":"2024-10-25T17:39:00Z","LAST_SEEN_DT":"2024-10-25T17:39:00Z"},{"DATA_SOURCE":"CUSTOMERS","RECORD_ID":"1003","INTERNAL_ID":37,"MATCH_KEY":"+NAME+DOB+EMAIL","MATCH_LEVEL_CODE":"RESOLVED","ERRULE_CODE":"SF1_PNAME_CSTAB","FIRST_SEEN_DT":"2024-10-25T17:39:00Z","LAST_SEEN_DT":"2024-10-25T17:39:00Z"}]},"RELATED_ENTITIES":[]} 3{"RESOLVED_ENTITY":{"ENTITY_ID":38,"ENTITY_NAME":"Edward Kusha","FEATURES":{"ADDRESS":[{"FEAT_DESC":"1304 Poppy Hills Dr Blacklick OH 43004","LIB_FEAT_ID":46,"USAGE_TYPE":"HOME","FEAT_DESC_VALUES":[{"FEAT_DESC":"1304 Poppy Hills Dr Blacklick OH 43004","LIB_FEAT_ID":46}]}],"DOB":[{"FEAT_DESC":"3/1/1970","LIB_FEAT_ID":45,"FEAT_DESC_VALUES":[{"FEAT_DESC":"3/1/1970","LIB_FEAT_ID":45}]}],"EMAIL":[{"FEAT_DESC":"Kusha123@hmail.com","LIB_FEAT_ID":48,"FEAT_DESC_VALUES":[{"FEAT_DESC":"Kusha123@hmail.com","LIB_FEAT_ID":48}]}],"NAME":[{"FEAT_DESC":"Edward Kusha","LIB_FEAT_ID":44,"USAGE_TYPE":"PRIMARY","FEAT_DESC_VALUES":[{"FEAT_DESC":"Edward Kusha","LIB_FEAT_ID":44}]}],"RECORD_TYPE":[{"FEAT_DESC":"PERSON","LIB_FEAT_ID":10,"FEAT_DESC_VALUES":[{"FEAT_DESC":"PERSON","LIB_FEAT_ID":10}]}],"SSN":[{"FEAT_DESC":"294-66-9999","LIB_FEAT_ID":47,"FEAT_DESC_VALUES":[{"FEAT_DESC":"294-66-9999","LIB_FEAT_ID":47}]}]},"RECORD_SUMMARY":[{"DATA_SOURCE":"CUSTOMERS","RECORD_COUNT":1}],"RECORDS":[{"DATA_SOURCE":"CUSTOMERS","RECORD_ID":"1009","INTERNAL_ID":38,"MATCH_KEY":"","MATCH_LEVEL_CODE":"","ERRULE_CODE":"","FIRST_SEEN_DT":"2024-10-25T17:39:00Z","LAST_SEEN_DT":"2024-10-25T17:39:00Z"}]},"RELATED_ENTITIES":[]}
- abstract count_redo_records() int [source]
The count_redo_records method returns the number of records in need of redo-ing.
- Returns:
The number of redo records in Senzing’s redo queue.
- Return type:
int
Raises:
Example:
1from senzing import SzError 2 3from . import sz_engine 4 5try: 6 result = sz_engine.count_redo_records() 7 print(f"\n{result}\n") 8except SzError as err: 9 print(f"\nERROR: {err}\n")
Output:
12
- abstract delete_record(data_source_code: str, record_id: str, flags: int = 0) str [source]
The delete_record method deletes a record from the Senzing repository. Can be called as many times as desired and from multiple threads at the same time.
- Parameters:
data_source_code (str) – Identifies the provenance of the data.
record_id (str) – The unique identifier within the records of the same data source.
flags (int, optional) – Flags used to control information returned. Defaults to 0.
- Returns:
If flags are set to return the WITH_INFO response a JSON document containing the details, otherwise an empty string.
- Return type:
str
Raises:
Example:
1from senzing import SzEngineFlags, SzError 2 3from . import sz_engine 4 5try: 6 DATA_SOURCE_CODE = "TEST" 7 flags = SzEngineFlags.SZ_WITH_INFO 8 RECORD_ID = "1" 9 result = sz_engine.delete_record(DATA_SOURCE_CODE, RECORD_ID, flags) 10 print(f"\n{result}\n") 11except SzError as err: 12 print(f"\nERROR: {err}\n")
Output:
1// Output has been formatted for easier reading. 2 3{ 4 "DATA_SOURCE": "TEST", 5 "RECORD_ID": "1", 6 "AFFECTED_ENTITIES": [ 7 { 8 "ENTITY_ID": 35 9 } 10 ], 11 "INTERESTING_ENTITIES": { 12 "ENTITIES": [] 13 } 14}
- abstract export_csv_entity_report(csv_column_list: str, flags: int = <SzEngineFlags.SZ_EXPORT_DEFAULT_FLAGS: 3734497>) int [source]
Warning: export_csv_entity_report is not recommended for large systems as it does not scale. It is recommended larger systems implement real-time replication to a data warehouse.
The export_csv_entity_report method initializes a cursor over a document of exported entities. It is part of the export_csv_entity_report, fetch_next, close_export lifecycle of a list of entities to export.
- Available CSV columns: RESOLVED_ENTITY_ID, RESOLVED_ENTITY_NAME, RELATED_ENTITY_ID, MATCH_LEVEL,
MATCH_LEVEL_CODE, MATCH_KEY, MATCH_KEY_DETAILS,I S_DISCLOSED, IS_AMBIGUOUS, DATA_SOURCE, RECORD_ID, JSON_DATA, FIRST_SEEN_DT, LAST_SEEN_DT, UNMAPPED_DATA, ERRULE_CODE, RELATED_ENTITY_NAME
- Suggested CSV columns: RESOLVED_ENTITY_ID, RELATED_ENTITY_ID, RESOLVED_ENTITY_NAME, MATCH_LEVEL,
MATCH_KEY, DATA_SOURCE, RECORD_ID
- Parameters:
csv_column_list (str) – A comma-separated list of column names for the CSV export.
flags (int, optional) – Flags used to control information returned. Defaults to SzEngineFlags.SZ_EXPORT_DEFAULT_FLAGS.
- Returns:
A handle that identifies the document to be scrolled through using fetch_next.
- Return type:
int
Raises:
Example:
1from senzing import SzEngineFlags, SzError 2 3from . import sz_engine 4 5try: 6 CSV_COLUMN_LIST = ( 7 "RESOLVED_ENTITY_ID,RELATED_ENTITY_ID,RESOLVED_ENTITY_NAME,MATCH_LEVEL,MATCH_KEY,DATA_SOURCE,RECORD_ID" 8 ) 9 flags = SzEngineFlags.SZ_EXPORT_DEFAULT_FLAGS 10 export_handle = sz_engine.export_csv_entity_report(CSV_COLUMN_LIST, flags) 11 while True: 12 fragment = sz_engine.fetch_next(export_handle) 13 if not fragment: 14 break 15 print(fragment, end="") 16 sz_engine.close_export(export_handle) 17except SzError as err: 18 print(f"\nERROR: {err}\n")
Output:
1RESOLVED_ENTITY_ID,RESOLVED_ENTITY_NAME,RELATED_ENTITY_ID,MATCH_LEVEL,MATCH_KEY,DATA_SOURCE,RECORD_ID 21,"",0,0,"","TEST","2" 335,"Robert Smith",0,0,"","CUSTOMERS","1001" 435,"Robert Smith",0,1,"+NAME+DOB+PHONE","CUSTOMERS","1002" 535,"Robert Smith",0,1,"+NAME+DOB+EMAIL","CUSTOMERS","1003" 638,"Edward Kusha",0,0,"","CUSTOMERS","1009"
- abstract export_json_entity_report(flags: int = <SzEngineFlags.SZ_EXPORT_DEFAULT_FLAGS: 3734497>) int [source]
Warning: export_json_entity_report is not recommended for large systems as it does not scale. It is recommended larger systems implement real-time replication to a data warehouse.
The export_json_entity_report method initializes a cursor over a document of exported entities. It is part of the export_json_entity_report, fetch_next, close_export lifecycle of a list of entities to export.
- Parameters:
flags (int, optional) – Flags used to control information returned. Defaults to SzEngineFlags.SZ_EXPORT_DEFAULT_FLAGS.
- Returns:
A handle that identifies the document to be scrolled through using fetch_next.
- Return type:
int
Raises:
Example:
1from senzing import SzEngineFlags, SzError 2 3from . import sz_engine 4 5try: 6 flags = SzEngineFlags.SZ_EXPORT_DEFAULT_FLAGS 7 export_handle = sz_engine.export_json_entity_report(flags) 8 while True: 9 fragment = sz_engine.fetch_next(export_handle) 10 if not fragment: 11 break 12 print(fragment, end="") 13 sz_engine.close_export(export_handle) 14except SzError as err: 15 print(f"\nERROR: {err}\n")
Output:
1{"RESOLVED_ENTITY":{"ENTITY_ID":1,"ENTITY_NAME":"","FEATURES":{},"RECORD_SUMMARY":[{"DATA_SOURCE":"TEST","RECORD_COUNT":1}],"RECORDS":[{"DATA_SOURCE":"TEST","RECORD_ID":"2","INTERNAL_ID":1,"MATCH_KEY":"","MATCH_LEVEL_CODE":"","ERRULE_CODE":"","FIRST_SEEN_DT":"2024-10-25T17:38:57Z","LAST_SEEN_DT":"2024-10-25T17:38:57Z"}]},"RELATED_ENTITIES":[]} 2{"RESOLVED_ENTITY":{"ENTITY_ID":35,"ENTITY_NAME":"Robert Smith","FEATURES":{"ADDRESS":[{"FEAT_DESC":"1515 Adela Lane Las Vegas NV 89111","LIB_FEAT_ID":22,"USAGE_TYPE":"HOME","FEAT_DESC_VALUES":[{"FEAT_DESC":"1515 Adela Lane Las Vegas NV 89111","LIB_FEAT_ID":22}]},{"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":"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":21}]}],"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":"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":38},{"FEAT_DESC":"Bob Smith","LIB_FEAT_ID":20}]}],"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":10,"FEAT_DESC_VALUES":[{"FEAT_DESC":"PERSON","LIB_FEAT_ID":10}]}]},"RECORD_SUMMARY":[{"DATA_SOURCE":"CUSTOMERS","RECORD_COUNT":3}],"RECORDS":[{"DATA_SOURCE":"CUSTOMERS","RECORD_ID":"1001","INTERNAL_ID":35,"MATCH_KEY":"","MATCH_LEVEL_CODE":"","ERRULE_CODE":"","FIRST_SEEN_DT":"2024-10-25T17:39:00Z","LAST_SEEN_DT":"2024-10-25T17:39:00Z"},{"DATA_SOURCE":"CUSTOMERS","RECORD_ID":"1002","INTERNAL_ID":36,"MATCH_KEY":"+NAME+DOB+PHONE","MATCH_LEVEL_CODE":"RESOLVED","ERRULE_CODE":"CNAME_CFF_CEXCL","FIRST_SEEN_DT":"2024-10-25T17:39:00Z","LAST_SEEN_DT":"2024-10-25T17:39:00Z"},{"DATA_SOURCE":"CUSTOMERS","RECORD_ID":"1003","INTERNAL_ID":37,"MATCH_KEY":"+NAME+DOB+EMAIL","MATCH_LEVEL_CODE":"RESOLVED","ERRULE_CODE":"SF1_PNAME_CSTAB","FIRST_SEEN_DT":"2024-10-25T17:39:00Z","LAST_SEEN_DT":"2024-10-25T17:39:00Z"}]},"RELATED_ENTITIES":[]} 3{"RESOLVED_ENTITY":{"ENTITY_ID":38,"ENTITY_NAME":"Edward Kusha","FEATURES":{"ADDRESS":[{"FEAT_DESC":"1304 Poppy Hills Dr Blacklick OH 43004","LIB_FEAT_ID":46,"USAGE_TYPE":"HOME","FEAT_DESC_VALUES":[{"FEAT_DESC":"1304 Poppy Hills Dr Blacklick OH 43004","LIB_FEAT_ID":46}]}],"DOB":[{"FEAT_DESC":"3/1/1970","LIB_FEAT_ID":45,"FEAT_DESC_VALUES":[{"FEAT_DESC":"3/1/1970","LIB_FEAT_ID":45}]}],"EMAIL":[{"FEAT_DESC":"Kusha123@hmail.com","LIB_FEAT_ID":48,"FEAT_DESC_VALUES":[{"FEAT_DESC":"Kusha123@hmail.com","LIB_FEAT_ID":48}]}],"NAME":[{"FEAT_DESC":"Edward Kusha","LIB_FEAT_ID":44,"USAGE_TYPE":"PRIMARY","FEAT_DESC_VALUES":[{"FEAT_DESC":"Edward Kusha","LIB_FEAT_ID":44}]}],"RECORD_TYPE":[{"FEAT_DESC":"PERSON","LIB_FEAT_ID":10,"FEAT_DESC_VALUES":[{"FEAT_DESC":"PERSON","LIB_FEAT_ID":10}]}],"SSN":[{"FEAT_DESC":"294-66-9999","LIB_FEAT_ID":47,"FEAT_DESC_VALUES":[{"FEAT_DESC":"294-66-9999","LIB_FEAT_ID":47}]}]},"RECORD_SUMMARY":[{"DATA_SOURCE":"CUSTOMERS","RECORD_COUNT":1}],"RECORDS":[{"DATA_SOURCE":"CUSTOMERS","RECORD_ID":"1009","INTERNAL_ID":38,"MATCH_KEY":"","MATCH_LEVEL_CODE":"","ERRULE_CODE":"","FIRST_SEEN_DT":"2024-10-25T17:39:00Z","LAST_SEEN_DT":"2024-10-25T17:39:00Z"}]},"RELATED_ENTITIES":[]}
- abstract fetch_next(export_handle: int) str [source]
The fetch_next method is used to scroll through an exported document one entity at a time. Successive calls of fetch_next will export successive rows of entity data until there is no more. It is part of the export_json_entity_report or export_json_entity_report, fetch_next, close_export lifecycle of a list of exported entities.
- Parameters:
export_handle (int) – A handle created by export_json_entity_report or export_json_entity_report.
- Returns:
TODO:
- Return type:
str
Raises:
Example:
1from senzing import SzEngineFlags, SzError 2 3from . import sz_engine 4 5try: 6 flags = SzEngineFlags.SZ_EXPORT_DEFAULT_FLAGS 7 export_handle = sz_engine.export_json_entity_report(flags) 8 while True: 9 fragment = sz_engine.fetch_next(export_handle) 10 if not fragment: 11 break 12 print(fragment, end="") 13 sz_engine.close_export(export_handle) 14except SzError as err: 15 print(f"\nERROR: {err}\n")
Output:
1{"RESOLVED_ENTITY":{"ENTITY_ID":1,"ENTITY_NAME":"","FEATURES":{},"RECORD_SUMMARY":[{"DATA_SOURCE":"TEST","RECORD_COUNT":1}],"RECORDS":[{"DATA_SOURCE":"TEST","RECORD_ID":"2","INTERNAL_ID":1,"MATCH_KEY":"","MATCH_LEVEL_CODE":"","ERRULE_CODE":"","FIRST_SEEN_DT":"2024-10-25T17:38:57Z","LAST_SEEN_DT":"2024-10-25T17:38:57Z"}]},"RELATED_ENTITIES":[]} 2{"RESOLVED_ENTITY":{"ENTITY_ID":35,"ENTITY_NAME":"Robert Smith","FEATURES":{"ADDRESS":[{"FEAT_DESC":"1515 Adela Lane Las Vegas NV 89111","LIB_FEAT_ID":22,"USAGE_TYPE":"HOME","FEAT_DESC_VALUES":[{"FEAT_DESC":"1515 Adela Lane Las Vegas NV 89111","LIB_FEAT_ID":22}]},{"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":"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":21}]}],"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":"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":38},{"FEAT_DESC":"Bob Smith","LIB_FEAT_ID":20}]}],"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":10,"FEAT_DESC_VALUES":[{"FEAT_DESC":"PERSON","LIB_FEAT_ID":10}]}]},"RECORD_SUMMARY":[{"DATA_SOURCE":"CUSTOMERS","RECORD_COUNT":3}],"RECORDS":[{"DATA_SOURCE":"CUSTOMERS","RECORD_ID":"1001","INTERNAL_ID":35,"MATCH_KEY":"","MATCH_LEVEL_CODE":"","ERRULE_CODE":"","FIRST_SEEN_DT":"2024-10-25T17:39:00Z","LAST_SEEN_DT":"2024-10-25T17:39:00Z"},{"DATA_SOURCE":"CUSTOMERS","RECORD_ID":"1002","INTERNAL_ID":36,"MATCH_KEY":"+NAME+DOB+PHONE","MATCH_LEVEL_CODE":"RESOLVED","ERRULE_CODE":"CNAME_CFF_CEXCL","FIRST_SEEN_DT":"2024-10-25T17:39:00Z","LAST_SEEN_DT":"2024-10-25T17:39:00Z"},{"DATA_SOURCE":"CUSTOMERS","RECORD_ID":"1003","INTERNAL_ID":37,"MATCH_KEY":"+NAME+DOB+EMAIL","MATCH_LEVEL_CODE":"RESOLVED","ERRULE_CODE":"SF1_PNAME_CSTAB","FIRST_SEEN_DT":"2024-10-25T17:39:00Z","LAST_SEEN_DT":"2024-10-25T17:39:00Z"}]},"RELATED_ENTITIES":[]} 3{"RESOLVED_ENTITY":{"ENTITY_ID":38,"ENTITY_NAME":"Edward Kusha","FEATURES":{"ADDRESS":[{"FEAT_DESC":"1304 Poppy Hills Dr Blacklick OH 43004","LIB_FEAT_ID":46,"USAGE_TYPE":"HOME","FEAT_DESC_VALUES":[{"FEAT_DESC":"1304 Poppy Hills Dr Blacklick OH 43004","LIB_FEAT_ID":46}]}],"DOB":[{"FEAT_DESC":"3/1/1970","LIB_FEAT_ID":45,"FEAT_DESC_VALUES":[{"FEAT_DESC":"3/1/1970","LIB_FEAT_ID":45}]}],"EMAIL":[{"FEAT_DESC":"Kusha123@hmail.com","LIB_FEAT_ID":48,"FEAT_DESC_VALUES":[{"FEAT_DESC":"Kusha123@hmail.com","LIB_FEAT_ID":48}]}],"NAME":[{"FEAT_DESC":"Edward Kusha","LIB_FEAT_ID":44,"USAGE_TYPE":"PRIMARY","FEAT_DESC_VALUES":[{"FEAT_DESC":"Edward Kusha","LIB_FEAT_ID":44}]}],"RECORD_TYPE":[{"FEAT_DESC":"PERSON","LIB_FEAT_ID":10,"FEAT_DESC_VALUES":[{"FEAT_DESC":"PERSON","LIB_FEAT_ID":10}]}],"SSN":[{"FEAT_DESC":"294-66-9999","LIB_FEAT_ID":47,"FEAT_DESC_VALUES":[{"FEAT_DESC":"294-66-9999","LIB_FEAT_ID":47}]}]},"RECORD_SUMMARY":[{"DATA_SOURCE":"CUSTOMERS","RECORD_COUNT":1}],"RECORDS":[{"DATA_SOURCE":"CUSTOMERS","RECORD_ID":"1009","INTERNAL_ID":38,"MATCH_KEY":"","MATCH_LEVEL_CODE":"","ERRULE_CODE":"","FIRST_SEEN_DT":"2024-10-25T17:39:00Z","LAST_SEEN_DT":"2024-10-25T17:39:00Z"}]},"RELATED_ENTITIES":[]}
- abstract find_interesting_entities_by_entity_id(entity_id: int, flags: int = 0) str [source]
TODO: Document find_interesting_entities_by_entity_id()
- abstract find_interesting_entities_by_record_id(data_source_code: str, record_id: str, flags: int = 0) str [source]
TODO: Document find_interesting_entities_by_record_id()
- abstract find_network_by_entity_id(entity_ids: ~typing.List[int], max_degrees: int, build_out_degrees: int, build_out_max_entities: int, flags: int = <SzEngineFlags.SZ_FIND_NETWORK_DEFAULT_FLAGS: 8589946880>) str [source]
The find_network_by_entity_id method finds all entities surrounding a requested set of entities. This includes the requested entities, paths between them, and relations to other nearby entities. Returns a JSON document that identifies the path between the each set of search entities (if the path exists), and the information for the entities in the path.
- Parameters:
entity_ids (list(int)) – The entity IDs to find the network between.
max_degrees (int) – The maximum number of degrees in paths between search entities.
build_out_degrees (int) – The number of degrees of relationships to show around each search entity.
build_out_max_entities (int) – The maximum number of entities to return in the discovered network.
flags (int, optional) – The maximum number of entities to return in the discovered network. Defaults to SzEngineFlags.SZ_FIND_PATH_DEFAULT_FLAGS.
- Returns:
A JSON document.
- Return type:
str
Raises:
Example:
1from senzing import SzEngineFlags, SzError 2 3from . import sz_engine 4 5try: 6 BUILD_OUT_DEGREES = 1 7 entity_list = [1, 4] 8 flags = SzEngineFlags.SZ_FIND_NETWORK_DEFAULT_FLAGS 9 MAX_DEGREES = 2 10 MAX_ENTITIES = 10 11 result = sz_engine.find_network_by_entity_id(entity_list, MAX_DEGREES, BUILD_OUT_DEGREES, MAX_ENTITIES, flags) 12 print(f"\n{result}\n") 13except SzError as err: 14 print(f"\nERROR: {err}\n")
Output:
1// Output has been formatted for easier reading. 2 3{ 4 "ENTITY_PATHS": [ 5 { 6 "START_ENTITY_ID": 1, 7 "END_ENTITY_ID": 35, 8 "ENTITIES": [] 9 } 10 ], 11 "ENTITY_NETWORK_LINKS": [], 12 "ENTITIES": [ 13 { 14 "RESOLVED_ENTITY": { 15 "ENTITY_ID": 1, 16 "ENTITY_NAME": "", 17 "RECORD_SUMMARY": [ 18 { 19 "DATA_SOURCE": "TEST", 20 "RECORD_COUNT": 1 21 } 22 ] 23 } 24 }, 25 { 26 "RESOLVED_ENTITY": { 27 "ENTITY_ID": 35, 28 "ENTITY_NAME": "Robert Smith", 29 "RECORD_SUMMARY": [ 30 { 31 "DATA_SOURCE": "CUSTOMERS", 32 "RECORD_COUNT": 3 33 } 34 ] 35 } 36 } 37 ] 38}
- abstract find_network_by_record_id(record_keys: ~typing.List[~typing.Tuple[str, str]], max_degrees: int, build_out_degrees: int, build_out_max_entities: int, flags: int = <SzEngineFlags.SZ_FIND_NETWORK_DEFAULT_FLAGS: 8589946880>) str [source]
The find_network_by_record_id method finds all entities surrounding a requested set of entities by their RECORD_ID values. This includes the requested entities, paths between them, and relations to other nearby entities. Returns a JSON document that identifies the path between the each set of search entities (if the path exists), and the information for the entities in the path.
- Parameters:
record_keys (list(tuple(str, str))) – The data source codes and record IDs to find the network between.
max_degrees (int) – The maximum number of degrees in paths between search entities.
build_out_degrees (int) – The number of degrees of relationships to show around each search entity.
build_out_max_entities (int) – The maximum number of entities to return in the discovered network.
flags (int, optional) – Flags used to control information returned. Defaults to SzEngineFlags.SZ_FIND_PATH_DEFAULT_FLAGS.
- Returns:
A JSON document.
- Return type:
str
Raises:
Example:
1from senzing import SzEngineFlags, SzError 2 3from . import sz_engine 4 5try: 6 BUILD_OUT_DEGREES = 1 7 flags = SzEngineFlags.SZ_FIND_NETWORK_DEFAULT_FLAGS 8 MAX_DEGREES = 2 9 MAX_ENTITIES = 10 10 record_list = [("CUSTOMERS", "1001"), ("CUSTOMERS", "1009")] 11 result = sz_engine.find_network_by_record_id(record_list, MAX_DEGREES, BUILD_OUT_DEGREES, MAX_ENTITIES, flags) 12 print(f"\n{result}\n") 13except SzError as err: 14 print(f"\nERROR: {err}\n")
Output:
1// Output has been formatted for easier reading. 2 3{ 4 "ENTITY_PATHS": [ 5 { 6 "START_ENTITY_ID": 35, 7 "END_ENTITY_ID": 38, 8 "ENTITIES": [] 9 } 10 ], 11 "ENTITY_NETWORK_LINKS": [], 12 "ENTITIES": [ 13 { 14 "RESOLVED_ENTITY": { 15 "ENTITY_ID": 35, 16 "ENTITY_NAME": "Robert Smith", 17 "RECORD_SUMMARY": [ 18 { 19 "DATA_SOURCE": "CUSTOMERS", 20 "RECORD_COUNT": 3 21 } 22 ] 23 } 24 }, 25 { 26 "RESOLVED_ENTITY": { 27 "ENTITY_ID": 38, 28 "ENTITY_NAME": "Edward Kusha", 29 "RECORD_SUMMARY": [ 30 { 31 "DATA_SOURCE": "CUSTOMERS", 32 "RECORD_COUNT": 1 33 } 34 ] 35 } 36 } 37 ] 38}
- abstract find_path_by_entity_id(start_entity_id: int, end_entity_id: int, max_degrees: int, avoid_entity_ids: ~typing.List[int] | None = None, required_data_sources: ~typing.List[str] | None = None, flags: int = <SzEngineFlags.SZ_FIND_PATH_DEFAULT_FLAGS: 1073754112>) str [source]
The find_path_by_entity_id method finds the most efficient relationship between two entities path based on the parameters and returns a JSON document with an ENTITY_PATHS section that details the path between the entities. The ENTITIES sections details information on the entities. Paths are found using known relationships with other entities. Paths are found using known relationships with other entities.
- Parameters:
start_entity_id (int) – The entity ID for the starting entity of the search path.
end_entity_id (int) – The entity ID for the ending entity of the search path.
max_degrees (int) – The maximum number of degrees in paths between search entities.
avoid_entity_ids (list(int), optional) – The entity IDs to avoid when finding a path.
required_data_sources (list(str), optional) – The data source code(s) that must be in a path.
flags (int, optional) – Flags used to control information returned. Defaults to SzEngineFlags.SZ_FIND_PATH_DEFAULT_FLAGS.
- Returns:
A JSON document with an ENTITY_PATHS section that details the path between the entities.
- Return type:
str
Raises:
Example:
1from typing import List 2 3from senzing import SzEngineFlags, SzError 4 5from . import sz_engine 6 7try: 8 avoid_entity_ids: List[int] = [] 9 END_ENTITY_ID = 4 10 flags = SzEngineFlags.SZ_FIND_PATH_DEFAULT_FLAGS 11 MAX_DEGREES = 2 12 required_data_sources: List[str] = [] 13 START_ENTITY_ID = 1 14 result = sz_engine.find_path_by_entity_id( 15 START_ENTITY_ID, 16 END_ENTITY_ID, 17 MAX_DEGREES, 18 avoid_entity_ids, 19 required_data_sources, 20 flags, 21 ) 22 print(f"\n{result}\n") 23except SzError as err: 24 print(f"\nERROR: {err}\n")
Output:
1// Output has been formatted for easier reading. 2 3{ 4 "ENTITY_PATHS": [ 5 { 6 "START_ENTITY_ID": 1, 7 "END_ENTITY_ID": 35, 8 "ENTITIES": [] 9 } 10 ], 11 "ENTITY_PATH_LINKS": [], 12 "ENTITIES": [ 13 { 14 "RESOLVED_ENTITY": { 15 "ENTITY_ID": 1, 16 "ENTITY_NAME": "", 17 "RECORD_SUMMARY": [ 18 { 19 "DATA_SOURCE": "TEST", 20 "RECORD_COUNT": 1 21 } 22 ] 23 } 24 }, 25 { 26 "RESOLVED_ENTITY": { 27 "ENTITY_ID": 35, 28 "ENTITY_NAME": "Robert Smith", 29 "RECORD_SUMMARY": [ 30 { 31 "DATA_SOURCE": "CUSTOMERS", 32 "RECORD_COUNT": 3 33 } 34 ] 35 } 36 } 37 ] 38}
- abstract find_path_by_record_id(start_data_source_code: str, start_record_id: str, end_data_source_code: str, end_record_id: str, max_degrees: int, avoid_record_keys: ~typing.List[~typing.Tuple[str, str]] | None = None, required_data_sources: ~typing.List[str] | None = None, flags: int = <SzEngineFlags.SZ_FIND_PATH_DEFAULT_FLAGS: 1073754112>) str [source]
The find_path_by_record_id method finds the most efficient relationship between two entities path based on the parameters by RECORD_ID values and returns a JSON document with an ENTITY_PATHS section that details the path between the entities. The ENTITIES sections details information on the entities. Paths are found using known relationships with other entities. The entities are identified by starting and ending records.
- Parameters:
start_data_source_code (str) – Identifies the provenance of the record for the starting entity of the search path.
start_record_id (str) – The unique identifier within the records of the same data source for the starting entity of the search path.
end_data_source_code (str) – Identifies the provenance of the record for the ending entity of the search path.
end_record_id (str) – The unique identifier within the records of the same data source for the ending entity of the search path.
max_degrees (int) – The maximum number of degrees in paths between search entities.
avoid_record_keys (list(tuple(str, str)), optional) – The data source codes and record IDs to avoid when finding a path.
required_data_sources (list(str), optional) – The data source code(s) that must be in a path.
flags (int, optional) – Flags used to control information returned. Defaults to SzEngineFlags.SZ_FIND_PATH_DEFAULT_FLAGS.
- Returns:
A JSON document.
- Return type:
str
Raises:
Example:
1from typing import List, Tuple 2 3from senzing import SzEngineFlags, SzError 4 5from . import sz_engine 6 7try: 8 avoid_record_keys: List[Tuple[str, str]] = [] 9 END_DATA_SOURCE_CODE = "CUSTOMERS" 10 END_RECORD_ID = "1009" 11 flags = SzEngineFlags.SZ_FIND_PATH_DEFAULT_FLAGS 12 MAX_DEGREES = 2 13 required_data_sources: List[str] = [] 14 START_DATA_SOURCE_CODE = "CUSTOMERS" 15 START_RECORD_ID = "1001" 16 result = sz_engine.find_path_by_record_id( 17 START_DATA_SOURCE_CODE, 18 START_RECORD_ID, 19 END_DATA_SOURCE_CODE, 20 END_RECORD_ID, 21 MAX_DEGREES, 22 avoid_record_keys, 23 required_data_sources, 24 flags, 25 ) 26 print(f"\n{result}\n") 27except SzError as err: 28 print(f"\nERROR: {err}\n")
Output:
1// Output has been formatted for easier reading. 2 3{ 4 "ENTITY_PATHS": [ 5 { 6 "START_ENTITY_ID": 35, 7 "END_ENTITY_ID": 38, 8 "ENTITIES": [] 9 } 10 ], 11 "ENTITY_PATH_LINKS": [], 12 "ENTITIES": [ 13 { 14 "RESOLVED_ENTITY": { 15 "ENTITY_ID": 35, 16 "ENTITY_NAME": "Robert Smith", 17 "RECORD_SUMMARY": [ 18 { 19 "DATA_SOURCE": "CUSTOMERS", 20 "RECORD_COUNT": 3 21 } 22 ] 23 } 24 }, 25 { 26 "RESOLVED_ENTITY": { 27 "ENTITY_ID": 38, 28 "ENTITY_NAME": "Edward Kusha", 29 "RECORD_SUMMARY": [ 30 { 31 "DATA_SOURCE": "CUSTOMERS", 32 "RECORD_COUNT": 1 33 } 34 ] 35 } 36 } 37 ] 38}
- abstract get_active_config_id() int [source]
The get_active_config_id method returns the identifier of the currently active Senzing engine configuration.
- Returns:
The identifier of the active Senzing Engine configuration.
- Return type:
int
Raises:
Example:
1from senzing import SzError 2 3from . import sz_engine 4 5try: 6 result = sz_engine.get_active_config_id() 7 print(f"\n{result}\n") 8except SzError as err: 9 print(f"\nERROR: {err}\n")
Output:
14030462317
- abstract get_entity_by_entity_id(entity_id: int, flags: int = <SzEngineFlags.SZ_ENTITY_DEFAULT_FLAGS: 3734464>) str [source]
The get_entity_by_entity_id method returns entity data based on the ID of a resolved identity.
- Parameters:
entity_id (int) – The unique identifier of an entity.
flags (int, optional) – Flags used to control information returned. Defaults to SzEngineFlags.SZ_ENTITY_DEFAULT_FLAGS.
- Returns:
A JSON document.
- Return type:
str
Raises:
Example:
1from senzing import SzEngineFlags, SzError 2 3from . import sz_engine 4 5try: 6 ENTITY_ID = 1 7 flags = SzEngineFlags.SZ_ENTITY_DEFAULT_FLAGS 8 result = sz_engine.get_entity_by_entity_id(ENTITY_ID, flags) 9 print(f"\n{result}\n") 10except SzError as err: 11 print(f"\nERROR: {err}\n")
Output:
1// Output has been formatted for easier reading. 2 3{ 4 "RESOLVED_ENTITY": { 5 "ENTITY_ID": 1, 6 "ENTITY_NAME": "", 7 "FEATURES": {}, 8 "RECORD_SUMMARY": [ 9 { 10 "DATA_SOURCE": "TEST", 11 "RECORD_COUNT": 1 12 } 13 ], 14 "RECORDS": [ 15 { 16 "DATA_SOURCE": "TEST", 17 "RECORD_ID": "2", 18 "INTERNAL_ID": 1, 19 "MATCH_KEY": "", 20 "MATCH_LEVEL_CODE": "", 21 "ERRULE_CODE": "", 22 "FIRST_SEEN_DT": "YYYY-MM-DDThh:mm:ssZ", 23 "LAST_SEEN_DT": "YYYY-MM-DDThh:mm:ssZ" 24 } 25 ] 26 }, 27 "RELATED_ENTITIES": [] 28}
- abstract get_entity_by_record_id(data_source_code: str, record_id: str, flags: int = <SzEngineFlags.SZ_ENTITY_DEFAULT_FLAGS: 3734464>) str [source]
The get_entity_by_record_id method returns entity data based on the ID of a record which is a member of the entity.
- Parameters:
data_source_code (str) – Identifies the provenance of the data.
record_id (str) – The unique identifier within the records of the same data source.
flags (int, optional) – Flags used to control information returned. Defaults to SzEngineFlags.SZ_ENTITY_DEFAULT_FLAGS.
- Returns:
A JSON document.
- Return type:
str
Raises:
Example:
1from senzing import SzEngineFlags, SzError 2 3from . import sz_engine 4 5try: 6 DATA_SOURCE_CODE = "CUSTOMERS" 7 flags = SzEngineFlags.SZ_ENTITY_DEFAULT_FLAGS 8 RECORD_ID = "1001" 9 result = sz_engine.get_entity_by_record_id(DATA_SOURCE_CODE, RECORD_ID, flags) 10 print(f"\n{result}\n") 11except SzError as err: 12 print(f"\nERROR: {err}\n")
Output:
1// Output has been formatted for easier reading. 2 3{ 4 "RESOLVED_ENTITY": { 5 "ENTITY_ID": 35, 6 "ENTITY_NAME": "Robert Smith", 7 "FEATURES": { 8 "ADDRESS": [ 9 { 10 "FEAT_DESC": "1515 Adela Lane Las Vegas NV 89111", 11 "LIB_FEAT_ID": 22, 12 "USAGE_TYPE": "HOME", 13 "FEAT_DESC_VALUES": [ 14 { 15 "FEAT_DESC": "1515 Adela Lane Las Vegas NV 89111", 16 "LIB_FEAT_ID": 22 17 } 18 ] 19 }, 20 { 21 "FEAT_DESC": "123 Main Street, Las Vegas NV 89132", 22 "LIB_FEAT_ID": 3, 23 "USAGE_TYPE": "MAILING", 24 "FEAT_DESC_VALUES": [ 25 { 26 "FEAT_DESC": "123 Main Street, Las Vegas NV 89132", 27 "LIB_FEAT_ID": 3 28 } 29 ] 30 } 31 ], 32 "DOB": [ 33 { 34 "FEAT_DESC": "12/11/1978", 35 "LIB_FEAT_ID": 2, 36 "FEAT_DESC_VALUES": [ 37 { 38 "FEAT_DESC": "12/11/1978", 39 "LIB_FEAT_ID": 2 40 }, 41 { 42 "FEAT_DESC": "11/12/1978", 43 "LIB_FEAT_ID": 21 44 } 45 ] 46 } 47 ], 48 "EMAIL": [ 49 { 50 "FEAT_DESC": "bsmith@work.com", 51 "LIB_FEAT_ID": 5, 52 "FEAT_DESC_VALUES": [ 53 { 54 "FEAT_DESC": "bsmith@work.com", 55 "LIB_FEAT_ID": 5 56 } 57 ] 58 } 59 ], 60 "NAME": [ 61 { 62 "FEAT_DESC": "Robert Smith", 63 "LIB_FEAT_ID": 1, 64 "USAGE_TYPE": "PRIMARY", 65 "FEAT_DESC_VALUES": [ 66 { 67 "FEAT_DESC": "Robert Smith", 68 "LIB_FEAT_ID": 1 69 }, 70 { 71 "FEAT_DESC": "Bob J Smith", 72 "LIB_FEAT_ID": 38 73 }, 74 { 75 "FEAT_DESC": "Bob Smith", 76 "LIB_FEAT_ID": 20 77 } 78 ] 79 } 80 ], 81 "PHONE": [ 82 { 83 "FEAT_DESC": "702-919-1300", 84 "LIB_FEAT_ID": 4, 85 "USAGE_TYPE": "HOME", 86 "FEAT_DESC_VALUES": [ 87 { 88 "FEAT_DESC": "702-919-1300", 89 "LIB_FEAT_ID": 4 90 } 91 ] 92 }, 93 { 94 "FEAT_DESC": "702-919-1300", 95 "LIB_FEAT_ID": 4, 96 "USAGE_TYPE": "MOBILE", 97 "FEAT_DESC_VALUES": [ 98 { 99 "FEAT_DESC": "702-919-1300", 100 "LIB_FEAT_ID": 4 101 } 102 ] 103 } 104 ], 105 "RECORD_TYPE": [ 106 { 107 "FEAT_DESC": "PERSON", 108 "LIB_FEAT_ID": 10, 109 "FEAT_DESC_VALUES": [ 110 { 111 "FEAT_DESC": "PERSON", 112 "LIB_FEAT_ID": 10 113 } 114 ] 115 } 116 ] 117 }, 118 "RECORD_SUMMARY": [ 119 { 120 "DATA_SOURCE": "CUSTOMERS", 121 "RECORD_COUNT": 3 122 } 123 ], 124 "RECORDS": [ 125 { 126 "DATA_SOURCE": "CUSTOMERS", 127 "RECORD_ID": "1001", 128 "INTERNAL_ID": 35, 129 "MATCH_KEY": "", 130 "MATCH_LEVEL_CODE": "", 131 "ERRULE_CODE": "", 132 "FIRST_SEEN_DT": "2024-10-25T17:39:00Z", 133 "LAST_SEEN_DT": "2024-10-25T17:39:00Z" 134 }, 135 { 136 "DATA_SOURCE": "CUSTOMERS", 137 "RECORD_ID": "1002", 138 "INTERNAL_ID": 36, 139 "MATCH_KEY": "+NAME+DOB+PHONE", 140 "MATCH_LEVEL_CODE": "RESOLVED", 141 "ERRULE_CODE": "CNAME_CFF_CEXCL", 142 "FIRST_SEEN_DT": "2024-10-25T17:39:00Z", 143 "LAST_SEEN_DT": "2024-10-25T17:39:00Z" 144 }, 145 { 146 "DATA_SOURCE": "CUSTOMERS", 147 "RECORD_ID": "1003", 148 "INTERNAL_ID": 37, 149 "MATCH_KEY": "+NAME+DOB+EMAIL", 150 "MATCH_LEVEL_CODE": "RESOLVED", 151 "ERRULE_CODE": "SF1_PNAME_CSTAB", 152 "FIRST_SEEN_DT": "2024-10-25T17:39:00Z", 153 "LAST_SEEN_DT": "2024-10-25T17:39:00Z" 154 } 155 ] 156 }, 157 "RELATED_ENTITIES": [] 158}
- abstract get_record(data_source_code: str, record_id: str, flags: int = <SzEngineFlags.SZ_ENTITY_INCLUDE_RECORD_JSON_DATA: 65536>) str [source]
The get_record method returns a JSON document of a single record from the Senzing repository. Can be called as many times as desired and from multiple threads at the same time.
- Parameters:
data_source_code (str) – Identifies the provenance of the data.
record_id (str) – The unique identifier within the records of the same data source.
flags (int, optional) – Flags used to control information returned. Defaults to SzEngineFlags.SZ_RECORD_DEFAULT_FLAGS.
- Returns:
A JSON document of a single record.
- Return type:
str
Raises:
Example:
1from senzing import SzEngineFlags, SzError 2 3from . import sz_engine 4 5try: 6 DATA_SOURCE_CODE = "CUSTOMERS" 7 flags = SzEngineFlags.SZ_RECORD_DEFAULT_FLAGS 8 RECORD_ID = "1001" 9 result = sz_engine.get_record(DATA_SOURCE_CODE, RECORD_ID, flags) 10 print(f"\n{result}\n") 11except SzError as err: 12 print(f"\nERROR: {err}\n")
Output:
1// Output has been formatted for easier reading. 2 3{ 4 "DATA_SOURCE": "CUSTOMERS", 5 "RECORD_ID": "1001", 6 "JSON_DATA": { 7 "DATA_SOURCE": "CUSTOMERS", 8 "RECORD_ID": "1001", 9 "RECORD_TYPE": "PERSON", 10 "PRIMARY_NAME_LAST": "Smith", 11 "PRIMARY_NAME_FIRST": "Robert", 12 "DATE_OF_BIRTH": "12/11/1978", 13 "ADDR_TYPE": "MAILING", 14 "ADDR_LINE1": "123 Main Street, Las Vegas NV 89132", 15 "PHONE_TYPE": "HOME", 16 "PHONE_NUMBER": "702-919-1300", 17 "EMAIL_ADDRESS": "bsmith@work.com", 18 "DATE": "1/2/18", 19 "STATUS": "Active", 20 "AMOUNT": "100" 21 } 22}
- abstract get_redo_record() str [source]
The get_redo_record method returns the next internally queued redo record from the Senzing repository. The process_redo_record method is called to process the redo record retrieved by get_redo_record.
- Returns:
A JSON document.
- Return type:
str
Raises:
Example:
1from senzing import SzError 2 3from . import sz_engine 4 5try: 6 result = sz_engine.get_redo_record() 7 print(f"\n{result}\n") 8except SzError as err: 9 print(f"\nERROR: {err}\n")
Output:
1// Output has been formatted for easier reading. 2 3{ 4 "REASON": "deferred delete", 5 "DATA_SOURCE": "CUSTOMERS", 6 "RECORD_ID": "1001", 7 "DSRC_ACTION": "X" 8}
- abstract get_stats() str [source]
The get_stats method retrieves workload statistics for the current process. These statistics will automatically reset after retrieval.
- Returns:
A JSON document.
- Return type:
str
Raises:
Example:
1from senzing import SzError 2 3from . import sz_engine 4 5try: 6 result = sz_engine.get_stats() 7 print(f"\n{result}\n") 8except SzError as err: 9 print(f"\nERROR: {err}\n")
Output:
1// Output has been formatted for easier reading. 2 3{ 4 "workload": { 5 "apiVersion": "4.0.0.24289", 6 "loadedRecords": 6, 7 "addedRecords": 20, 8 "bulkAddedRecords": 0, 9 "optimizedOut": 3, 10 "optimizedOutSkipped": 6, 11 "newObsEnt": 18, 12 "obsEntHashSame": 4, 13 "obsEntHashDiff": 1, 14 "partiallyResolved": 0, 15 "deletedRecords": 15, 16 "changeDeletes": 4, 17 "reevaluations": 4, 18 "repairedEntities": 6, 19 "duration": 96, 20 "retries": 0, 21 "candidates": 11, 22 "actualAmbiguousTest": 0, 23 "cachedAmbiguousTest": 0, 24 "libFeatCacheHit": 706, 25 "libFeatCacheMiss": 589, 26 "resFeatStatCacheHit": 6211, 27 "resFeatStatCacheMiss": 1052, 28 "libFeatInsert": 28, 29 "resFeatStatInsert": 28, 30 "resFeatStatUpdateAttempt": 522, 31 "resFeatStatUpdateFail": 0, 32 "unresolveTest": 4, 33 "abortedUnresolve": 0, 34 "lockWaits": { 35 "maxRefreshLocksMS": 0, 36 "totalRefreshLocksMS": 0, 37 "countRefreshLocks": 0 38 }, 39 "unresolveTriggers": { 40 "normalResolve": 0, 41 "update": 0, 42 "relLink": 0, 43 "extensiveResolve": 4, 44 "ambiguousNoResolve": 0, 45 "ambiguousMultiResolve": 0 46 }, 47 "reresolveTriggers": { 48 "abortRetry": 0, 49 "unresolveMovement": 0, 50 "multipleResolvableCandidates": 0, 51 "resolveNewFeatures": 7, 52 "newFeatureFTypes": [ 53 { 54 "ADDRESS": 5 55 }, 56 { 57 "ADDR_KEY": 5 58 }, 59 { 60 "DOB": 5 61 }, 62 { 63 "NAME": 7 64 }, 65 { 66 "NAMEADDR_KEY": 5 67 }, 68 { 69 "NAMEDATE_KEY": 7 70 }, 71 { 72 "NAMEPHONE_KEY": 5 73 }, 74 { 75 "NAMEREGION_KEY": 5 76 }, 77 { 78 "NAME_KEY": 7 79 }, 80 { 81 "PHONE": 5 82 } 83 ] 84 }, 85 "reresolveSkipped": 1, 86 "filteredObsFeat": 0, 87 "expressedFeatureCalls": [ 88 { 89 "EFCALL_ID": 1, 90 "EFUNC_CODE": "PHONE_HASHER", 91 "numCalls": 20 92 }, 93 { 94 "EFCALL_ID": 7, 95 "EFUNC_CODE": "NAME_HASHER", 96 "numCalls": 45 97 }, 98 { 99 "EFCALL_ID": 9, 100 "EFUNC_CODE": "ADDR_HASHER", 101 "numCalls": 21 102 }, 103 { 104 "EFCALL_ID": 10, 105 "EFUNC_CODE": "EXPRESS_BOM", 106 "numCalls": 1 107 }, 108 { 109 "EFCALL_ID": 16, 110 "EFUNC_CODE": "EXPRESS_ID", 111 "numCalls": 1 112 }, 113 { 114 "EFCALL_ID": 34, 115 "EFUNC_CODE": "FEAT_BUILDER", 116 "numCalls": 19 117 }, 118 { 119 "EFCALL_ID": 92, 120 "EFUNC_CODE": "NAME_HASHER", 121 "numCalls": 21 122 }, 123 { 124 "EFCALL_ID": 94, 125 "EFUNC_CODE": "NAME_HASHER", 126 "numCalls": 45 127 }, 128 { 129 "EFCALL_ID": 95, 130 "EFUNC_CODE": "NAME_HASHER", 131 "numCalls": 2 132 }, 133 { 134 "EFCALL_ID": 96, 135 "EFUNC_CODE": "NAME_HASHER", 136 "numCalls": 45 137 }, 138 { 139 "EFCALL_ID": 97, 140 "EFUNC_CODE": "NAME_HASHER", 141 "numCalls": 45 142 }, 143 { 144 "EFCALL_ID": 98, 145 "EFUNC_CODE": "NAME_HASHER", 146 "numCalls": 45 147 } 148 ], 149 "expressedFeaturesCreated": [ 150 { 151 "ADDR_KEY": 42 152 }, 153 { 154 "EMAIL_KEY": 19 155 }, 156 { 157 "ID_KEY": 1 158 }, 159 { 160 "NAMEADDR_KEY": 54 161 }, 162 { 163 "NAMEDATE_KEY": 99 164 }, 165 { 166 "NAMEID_KEY": 2 167 }, 168 { 169 "NAMEPHONE_KEY": 25 170 }, 171 { 172 "NAMEREGION_KEY": 54 173 }, 174 { 175 "NAME_KEY": 35 176 }, 177 { 178 "PHONE_KEY": 20 179 }, 180 { 181 "SEARCH_KEY": 1 182 } 183 ], 184 "scoredPairs": [ 185 { 186 "ADDRESS": 8 187 }, 188 { 189 "DOB": 18 190 }, 191 { 192 "EMAIL": 5 193 }, 194 { 195 "NAME": 29 196 }, 197 { 198 "PHONE": 9 199 }, 200 { 201 "RECORD_TYPE": 10 202 } 203 ], 204 "cacheHit": [ 205 { 206 "DOB": 1 207 }, 208 { 209 "NAME": 3 210 } 211 ], 212 "cacheMiss": [ 213 { 214 "ADDRESS": 8 215 }, 216 { 217 "DOB": 17 218 }, 219 { 220 "EMAIL": 5 221 }, 222 { 223 "NAME": 26 224 }, 225 { 226 "PHONE": 9 227 } 228 ], 229 "redoTriggers": [ 230 { 231 "DEFERRED_DELETE": 6 232 } 233 ], 234 "latchContention": [], 235 "highContentionFeat": [], 236 "highContentionResEnt": [], 237 "genericDetect": [], 238 "candidateBuilders": [ 239 { 240 "ADDR_KEY": 34 241 }, 242 { 243 "DOB": 36 244 }, 245 { 246 "EMAIL_KEY": 32 247 }, 248 { 249 "ID_KEY": 1 250 }, 251 { 252 "NAMEADDR_KEY": 34 253 }, 254 { 255 "NAMEDATE_KEY": 36 256 }, 257 { 258 "NAMEID_KEY": 1 259 }, 260 { 261 "NAMEPHONE_KEY": 33 262 }, 263 { 264 "NAMEREGION_KEY": 34 265 }, 266 { 267 "NAME_KEY": 37 268 }, 269 { 270 "PHONE_KEY": 33 271 }, 272 { 273 "SEARCH_KEY": 1 274 }, 275 { 276 "SSN": 1 277 } 278 ], 279 "suppressedCandidateBuilders": [], 280 "suppressedScoredFeatureType": [], 281 "suppressedCandidateBuildersForReresolve": [], 282 "suppressedScoredFeatureTypeForReresolve": [], 283 "suppressedDisclosedRelationshipDomainCount": 0, 284 "corruptEntityTestDiagnosis": { 285 "corruptionTypes": 0 286 }, 287 "threadState": { 288 "active": 0, 289 "idle": 8, 290 "governorContention": 0, 291 "sqlExecuting": 0, 292 "loader": 0, 293 "resolver": 0, 294 "scoring": 0, 295 "dataLatchContention": 0, 296 "obsEntContention": 0, 297 "resEntContention": 0 298 }, 299 "systemResources": { 300 "initResources": [ 301 { 302 "physicalCores": 16 303 }, 304 { 305 "logicalCores": 16 306 }, 307 { 308 "totalMemory": "62.6GB" 309 }, 310 { 311 "availableMemory": "52.7GB" 312 } 313 ], 314 "currResources": [ 315 { 316 "availableMemory": "48.5GB" 317 }, 318 { 319 "activeThreads": 0 320 }, 321 { 322 "workerThreads": 8 323 }, 324 { 325 "systemLoad": [ 326 { 327 "cpuUser": 5.160142 328 }, 329 { 330 "cpuSystem": 3.932384 331 }, 332 { 333 "cpuIdle": 90.800713 334 }, 335 { 336 "cpuWait": 0.071174 337 }, 338 { 339 "cpuSoftIrq": 0.035587 340 } 341 ] 342 } 343 ] 344 } 345 } 346}
- abstract get_virtual_entity_by_record_id(record_keys: ~typing.List[~typing.Tuple[str, str]], flags: int = <SzEngineFlags.SZ_ENTITY_CORE_FLAGS: 63488>) str [source]
The get_virtual_entity_by_record_id method creates 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.
- Parameters:
record_keys (list(tuple(str, str))) – The data source codes and record IDs identifying records to create the virtual entity from.
flags (int, optional) – Flags used to control information returned. Defaults to SzEngineFlags.SZ_HOW_ENTITY_DEFAULT_FLAGS.
- Returns:
A JSON document.
- Return type:
str
Raises:
Example:
1from senzing import SzEngineFlags, SzError 2 3from . import sz_engine 4 5try: 6 flags = SzEngineFlags.SZ_VIRTUAL_ENTITY_DEFAULT_FLAGS 7 record_list = [ 8 ("CUSTOMERS", "1001"), 9 ("CUSTOMERS", "1002"), 10 ] 11 result = sz_engine.get_virtual_entity_by_record_id(record_list, flags) 12 print(f"\n{result}\n") 13except SzError as err: 14 print(f"\nERROR: {err}\n")
Output:
1// Output has been formatted for easier reading. 2 3{ 4 "RESOLVED_ENTITY": { 5 "ENTITY_ID": 35, 6 "ENTITY_NAME": "Robert Smith", 7 "FEATURES": { 8 "ADDRESS": [ 9 { 10 "FEAT_DESC": "1515 Adela Lane Las Vegas NV 89111", 11 "LIB_FEAT_ID": 22, 12 "USAGE_TYPE": "HOME", 13 "FEAT_DESC_VALUES": [ 14 { 15 "FEAT_DESC": "1515 Adela Lane Las Vegas NV 89111", 16 "LIB_FEAT_ID": 22 17 } 18 ] 19 }, 20 { 21 "FEAT_DESC": "123 Main Street, Las Vegas NV 89132", 22 "LIB_FEAT_ID": 3, 23 "USAGE_TYPE": "MAILING", 24 "FEAT_DESC_VALUES": [ 25 { 26 "FEAT_DESC": "123 Main Street, Las Vegas NV 89132", 27 "LIB_FEAT_ID": 3 28 } 29 ] 30 } 31 ], 32 "DOB": [ 33 { 34 "FEAT_DESC": "12/11/1978", 35 "LIB_FEAT_ID": 2, 36 "FEAT_DESC_VALUES": [ 37 { 38 "FEAT_DESC": "12/11/1978", 39 "LIB_FEAT_ID": 2 40 }, 41 { 42 "FEAT_DESC": "11/12/1978", 43 "LIB_FEAT_ID": 21 44 } 45 ] 46 } 47 ], 48 "EMAIL": [ 49 { 50 "FEAT_DESC": "bsmith@work.com", 51 "LIB_FEAT_ID": 5, 52 "FEAT_DESC_VALUES": [ 53 { 54 "FEAT_DESC": "bsmith@work.com", 55 "LIB_FEAT_ID": 5 56 } 57 ] 58 } 59 ], 60 "NAME": [ 61 { 62 "FEAT_DESC": "Robert Smith", 63 "LIB_FEAT_ID": 1, 64 "USAGE_TYPE": "PRIMARY", 65 "FEAT_DESC_VALUES": [ 66 { 67 "FEAT_DESC": "Robert Smith", 68 "LIB_FEAT_ID": 1 69 }, 70 { 71 "FEAT_DESC": "Bob Smith", 72 "LIB_FEAT_ID": 20 73 } 74 ] 75 } 76 ], 77 "PHONE": [ 78 { 79 "FEAT_DESC": "702-919-1300", 80 "LIB_FEAT_ID": 4, 81 "USAGE_TYPE": "HOME", 82 "FEAT_DESC_VALUES": [ 83 { 84 "FEAT_DESC": "702-919-1300", 85 "LIB_FEAT_ID": 4 86 } 87 ] 88 }, 89 { 90 "FEAT_DESC": "702-919-1300", 91 "LIB_FEAT_ID": 4, 92 "USAGE_TYPE": "MOBILE", 93 "FEAT_DESC_VALUES": [ 94 { 95 "FEAT_DESC": "702-919-1300", 96 "LIB_FEAT_ID": 4 97 } 98 ] 99 } 100 ], 101 "RECORD_TYPE": [ 102 { 103 "FEAT_DESC": "PERSON", 104 "LIB_FEAT_ID": 10, 105 "FEAT_DESC_VALUES": [ 106 { 107 "FEAT_DESC": "PERSON", 108 "LIB_FEAT_ID": 10 109 } 110 ] 111 } 112 ] 113 }, 114 "RECORD_SUMMARY": [ 115 { 116 "DATA_SOURCE": "CUSTOMERS", 117 "RECORD_COUNT": 2 118 } 119 ], 120 "RECORDS": [ 121 { 122 "DATA_SOURCE": "CUSTOMERS", 123 "RECORD_ID": "1001", 124 "INTERNAL_ID": 35, 125 "FIRST_SEEN_DT": "2024-10-25T17:39:00Z", 126 "LAST_SEEN_DT": "2024-10-25T17:39:00Z" 127 }, 128 { 129 "DATA_SOURCE": "CUSTOMERS", 130 "RECORD_ID": "1002", 131 "INTERNAL_ID": 36, 132 "FIRST_SEEN_DT": "2024-10-25T17:39:00Z", 133 "LAST_SEEN_DT": "2024-10-25T17:39:00Z" 134 } 135 ] 136 } 137}
- help(method_name: str = '') str [source]
Return the help for a particular message.
- Parameters:
method_name (str) – The name of the method. (e.g. “init”). If empty, a list of methods and descriptions is returned.
- Returns:
The Help information about the requested method
- Return type:
str
- abstract how_entity_by_entity_id(entity_id: int, flags: int = <SzEngineFlags.SZ_INCLUDE_FEATURE_SCORES: 67108864>) str [source]
The how_entity_by_entity_id method determines and details steps-by-step how records resolved to a single entity.
In most cases, how provides more detailed information than why as the resolution is detailed step-by-step.
- Parameters:
entity_id (int) – The unique identifier of an entity.
flags (int, optional) – Flags used to control information returned. Defaults to SzEngineFlags.SZ_HOW_ENTITY_DEFAULT_FLAGS.
- Returns:
A JSON document.
- Return type:
str
Raises:
Example:
1from senzing import SzEngineFlags, SzError 2 3from . import sz_engine 4 5try: 6 ENTITY_ID = 1 7 flags = SzEngineFlags.SZ_HOW_ENTITY_DEFAULT_FLAGS 8 result = sz_engine.how_entity_by_entity_id(ENTITY_ID, flags) 9 print(f"\n{result}\n") 10except SzError as err: 11 print(f"\nERROR: {err}\n")
Output:
1// Output has been formatted for easier reading. 2 3{ 4 "HOW_RESULTS": { 5 "RESOLUTION_STEPS": [], 6 "FINAL_STATE": { 7 "NEED_REEVALUATION": 0, 8 "VIRTUAL_ENTITIES": [ 9 { 10 "VIRTUAL_ENTITY_ID": "V1", 11 "MEMBER_RECORDS": [ 12 { 13 "INTERNAL_ID": 1, 14 "RECORDS": [ 15 { 16 "DATA_SOURCE": "TEST", 17 "RECORD_ID": "2" 18 } 19 ] 20 } 21 ] 22 } 23 ] 24 } 25 } 26}
- abstract preprocess_record(record_definition: str, flags: int = <SzEngineFlags.SZ_ENTITY_INCLUDE_RECORD_JSON_DATA: 65536>) str [source]
The preprocess_record method tests adding a record into the Senzing datastore.
- Parameters:
record_definition (str) – A JSON document containing the record to be tested.
flags (int, optional) – Flags used to control information returned. Defaults to 0.
- Returns:
A JSON document containing metadata as specified by the flags.
- Return type:
str
Raises:
Example:
1import json 2 3from senzing import SzEngineFlags, SzError 4 5from . import sz_engine 6 7try: 8 flags = SzEngineFlags.SZ_RECORD_DEFAULT_FLAGS 9 record_definition = json.dumps( 10 { 11 "RECORD_TYPE": "PERSON", 12 "PRIMARY_NAME_LAST": "Smith", 13 "PRIMARY_NAME_FIRST": "Robert", 14 "DATE_OF_BIRTH": "12/11/1978", 15 "ADDR_TYPE": "MAILING", 16 "ADDR_LINE1": "123 Main Street, Las Vegas NV 89132", 17 "PHONE_TYPE": "HOME", 18 "PHONE_NUMBER": "702-919-1300", 19 "EMAIL_ADDRESS": "bsmith@work.com", 20 "DATE": "1/2/18", 21 "STATUS": "Active", 22 "AMOUNT": "100", 23 } 24 ) 25 result = sz_engine.preprocess_record(record_definition, flags) 26 print(f"\n{result}\n") 27except SzError as err: 28 print(f"\nERROR: {err}\n")
Output:
1// Output has been formatted for easier reading. 2 3{ 4 "JSON_DATA": { 5 "RECORD_TYPE": "PERSON", 6 "PRIMARY_NAME_LAST": "Smith", 7 "PRIMARY_NAME_FIRST": "Robert", 8 "DATE_OF_BIRTH": "12/11/1978", 9 "ADDR_TYPE": "MAILING", 10 "ADDR_LINE1": "123 Main Street, Las Vegas NV 89132", 11 "PHONE_TYPE": "HOME", 12 "PHONE_NUMBER": "702-919-1300", 13 "EMAIL_ADDRESS": "bsmith@work.com", 14 "DATE": "1/2/18", 15 "STATUS": "Active", 16 "AMOUNT": "100" 17 } 18}
- abstract prime_engine() None [source]
The prime_engine method initializes high resource consumption components of Senzing used in some functions. If this call is not made, these resources are initialized the first time they are needed and can cause unusually long processing times the first time a function is called that requires these resources.
Raises:
Example:
1from senzing import SzError 2 3from . import sz_engine 4 5try: 6 sz_engine.prime_engine() 7except SzError as err: 8 print(f"\nERROR: {err}\n")
- abstract process_redo_record(redo_record: str, flags: int = 0) str [source]
The process_redo_record method is called to process the redo record retrieved by get_redo_record.
- Parameters:
redo_record (str) – A redo record retrieved from get_redo_record.
flags (int, optional) – Flags used to control information returned. Defaults to 0.
Raises:
Example:
1from senzing import SzEngineFlags, SzError 2 3from . import sz_engine 4 5try: 6 flags = SzEngineFlags.SZ_WITH_INFO 7 while True: 8 redo_record = sz_engine.get_redo_record() 9 if not redo_record: 10 break 11 RESULT = sz_engine.process_redo_record(redo_record, flags) 12 print(RESULT) 13except SzError as err: 14 print(f"\nERROR: {err}\n")
Output:
1// Output has been formatted for easier reading. 2 3{ 4 "DATA_SOURCE": "CUSTOMERS", 5 "RECORD_ID": "2207", 6 "AFFECTED_ENTITIES": [ 7 { 8 "ENTITY_ID": 305 9 } 10 ], 11 "INTERESTING_ENTITIES": { 12 "ENTITIES": [] 13 } 14}
- abstract reevaluate_entity(entity_id: int, flags: int = 0) str [source]
The reevaluate_entity method reevaluates the specified entity.
- Parameters:
entity_id (int) – The unique identifier of an entity.
flags (int, optional) – Flags used to control information returned. Defaults to 0.
Raises:
Example:
1from senzing import SzEngineFlags, SzError 2 3from . import sz_engine 4 5try: 6 ENTITY_ID = 1 7 flags = SzEngineFlags.SZ_WITH_INFO 8 result = sz_engine.reevaluate_entity(ENTITY_ID, flags) 9 print(f"\n{result}\n") 10except SzError as err: 11 print(f"\nERROR: {err}\n")
Output:
1// Output has been formatted for easier reading. 2 3{ 4 "DATA_SOURCE": "TEST", 5 "RECORD_ID": "2", 6 "AFFECTED_ENTITIES": [ 7 { 8 "ENTITY_ID": 1 9 } 10 ], 11 "INTERESTING_ENTITIES": { 12 "ENTITIES": [] 13 } 14}
- abstract reevaluate_record(data_source_code: str, record_id: str, flags: int = 0) str [source]
The reevaluate_record method reevaluates a specific record.
- Parameters:
data_source_code (str) – Identifies the provenance of the data.
record_id (str) – The unique identifier within the records of the same data source.
flags (int, optional) – Flags used to control information returned. Defaults to 0.
- Returns:
If flags are set to return the WITH_INFO response a JSON document containing the details, otherwise an empty string.
- Return type:
str
Raises:
Example:
1from senzing import SzEngineFlags, SzError 2 3from . import sz_engine 4 5try: 6 DATA_SOURCE_CODE = "CUSTOMERS" 7 flags = SzEngineFlags.SZ_WITH_INFO 8 RECORD_ID = "1001" 9 result = sz_engine.reevaluate_record(DATA_SOURCE_CODE, RECORD_ID, flags) 10 print(f"\n{result}\n") 11except SzError as err: 12 print(f"\nERROR: {err}\n")
Output:
1// Output has been formatted for easier reading. 2 3{ 4 "DATA_SOURCE": "CUSTOMERS", 5 "RECORD_ID": "1001", 6 "AFFECTED_ENTITIES": [ 7 { 8 "ENTITY_ID": 35 9 } 10 ], 11 "INTERESTING_ENTITIES": { 12 "ENTITIES": [] 13 } 14}
- abstract search_by_attributes(attributes: str, flags: int = <SzEngineFlags.SZ_SEARCH_BY_ATTRIBUTES_ALL: 67123215>, search_profile: str = '') str [source]
The search_by_attributes method retrieves entity data based on a user-specified set of entity attributes.
- Parameters:
attributes (str) – A JSON document with the attribute data to search for.
flags (int, optional) – _description_. Defaults to SzEngineFlags.SZ_SEARCH_BY_ATTRIBUTES_DEFAULT_FLAGS.
search_profile (str) – The name of a configured search profile. Defaults to SEARCH.
- Returns:
A JSON document.
- Return type:
str
Raises:
Example:
1import json 2 3from senzing import SzEngineFlags, SzError 4 5from . import sz_engine 6 7try: 8 attributes = json.dumps({"NAME_FULL": "BOB SMITH", "EMAIL_ADDRESS": "bsmith@work.com"}) 9 flags = SzEngineFlags.SZ_SEARCH_BY_ATTRIBUTES_DEFAULT_FLAGS 10 SEARCH_PROFILE = "" 11 result = sz_engine.search_by_attributes(attributes, flags, SEARCH_PROFILE) 12 print(f"\n{result}\n") 13except SzError as err: 14 print(f"\nERROR: {err}\n")
Output:
1// Output has been formatted for easier reading. 2{ 3 "RESOLVED_ENTITIES": [ 4 { 5 "MATCH_INFO": { 6 "MATCH_LEVEL_CODE": "RESOLVED", 7 "MATCH_KEY": "+NAME+EMAIL", 8 "ERRULE_CODE": "SF1_CNAME", 9 "FEATURE_SCORES": { 10 "EMAIL": [ 11 { 12 "INBOUND_FEAT_ID": 5, 13 "INBOUND_FEAT_DESC": "bsmith@work.com", 14 "INBOUND_FEAT_USAGE_TYPE": "", 15 "CANDIDATE_FEAT_ID": 5, 16 "CANDIDATE_FEAT_DESC": "bsmith@work.com", 17 "CANDIDATE_FEAT_USAGE_TYPE": "", 18 "SCORE": 100, 19 "ADDITIONAL_SCORES": { 20 "FULL_SCORE": 100 21 }, 22 "SCORE_BUCKET": "SAME", 23 "SCORE_BEHAVIOR": "F1" 24 } 25 ], 26 "NAME": [ 27 { 28 "INBOUND_FEAT_ID": -2, 29 "INBOUND_FEAT_DESC": "BOB SMITH", 30 "INBOUND_FEAT_USAGE_TYPE": "", 31 "CANDIDATE_FEAT_ID": 38, 32 "CANDIDATE_FEAT_DESC": "Bob J Smith", 33 "CANDIDATE_FEAT_USAGE_TYPE": "PRIMARY", 34 "SCORE": 93, 35 "ADDITIONAL_SCORES": { 36 "GENERATION_MATCH": -1, 37 "GNR_FN": 93, 38 "GNR_GN": -1, 39 "GNR_ON": -1, 40 "GNR_SN": -1 41 }, 42 "SCORE_BUCKET": "CLOSE", 43 "SCORE_BEHAVIOR": "NAME" 44 }, 45 { 46 "INBOUND_FEAT_ID": -2, 47 "INBOUND_FEAT_DESC": "BOB SMITH", 48 "INBOUND_FEAT_USAGE_TYPE": "", 49 "CANDIDATE_FEAT_ID": 1, 50 "CANDIDATE_FEAT_DESC": "Robert Smith", 51 "CANDIDATE_FEAT_USAGE_TYPE": "PRIMARY", 52 "SCORE": 97, 53 "ADDITIONAL_SCORES": { 54 "GENERATION_MATCH": -1, 55 "GNR_FN": 97, 56 "GNR_GN": -1, 57 "GNR_ON": -1, 58 "GNR_SN": -1 59 }, 60 "SCORE_BUCKET": "CLOSE", 61 "SCORE_BEHAVIOR": "NAME" 62 } 63 ] 64 } 65 }, 66 "ENTITY": { 67 "RESOLVED_ENTITY": { 68 "ENTITY_ID": 35, 69 "ENTITY_NAME": "Robert Smith", 70 "FEATURES": { 71 "ADDRESS": [ 72 { 73 "FEAT_DESC": "1515 Adela Lane Las Vegas NV 89111", 74 "LIB_FEAT_ID": 22, 75 "USAGE_TYPE": "HOME", 76 "FEAT_DESC_VALUES": [ 77 { 78 "FEAT_DESC": "1515 Adela Lane Las Vegas NV 89111", 79 "LIB_FEAT_ID": 22 80 } 81 ] 82 }, 83 { 84 "FEAT_DESC": "123 Main Street, Las Vegas NV 89132", 85 "LIB_FEAT_ID": 3, 86 "USAGE_TYPE": "MAILING", 87 "FEAT_DESC_VALUES": [ 88 { 89 "FEAT_DESC": "123 Main Street, Las Vegas NV 89132", 90 "LIB_FEAT_ID": 3 91 } 92 ] 93 } 94 ], 95 "DOB": [ 96 { 97 "FEAT_DESC": "12/11/1978", 98 "LIB_FEAT_ID": 2, 99 "FEAT_DESC_VALUES": [ 100 { 101 "FEAT_DESC": "12/11/1978", 102 "LIB_FEAT_ID": 2 103 }, 104 { 105 "FEAT_DESC": "11/12/1978", 106 "LIB_FEAT_ID": 21 107 } 108 ] 109 } 110 ], 111 "EMAIL": [ 112 { 113 "FEAT_DESC": "bsmith@work.com", 114 "LIB_FEAT_ID": 5, 115 "FEAT_DESC_VALUES": [ 116 { 117 "FEAT_DESC": "bsmith@work.com", 118 "LIB_FEAT_ID": 5 119 } 120 ] 121 } 122 ], 123 "NAME": [ 124 { 125 "FEAT_DESC": "Robert Smith", 126 "LIB_FEAT_ID": 1, 127 "USAGE_TYPE": "PRIMARY", 128 "FEAT_DESC_VALUES": [ 129 { 130 "FEAT_DESC": "Robert Smith", 131 "LIB_FEAT_ID": 1 132 }, 133 { 134 "FEAT_DESC": "Bob J Smith", 135 "LIB_FEAT_ID": 38 136 }, 137 { 138 "FEAT_DESC": "Bob Smith", 139 "LIB_FEAT_ID": 20 140 } 141 ] 142 } 143 ], 144 "PHONE": [ 145 { 146 "FEAT_DESC": "702-919-1300", 147 "LIB_FEAT_ID": 4, 148 "USAGE_TYPE": "HOME", 149 "FEAT_DESC_VALUES": [ 150 { 151 "FEAT_DESC": "702-919-1300", 152 "LIB_FEAT_ID": 4 153 } 154 ] 155 }, 156 { 157 "FEAT_DESC": "702-919-1300", 158 "LIB_FEAT_ID": 4, 159 "USAGE_TYPE": "MOBILE", 160 "FEAT_DESC_VALUES": [ 161 { 162 "FEAT_DESC": "702-919-1300", 163 "LIB_FEAT_ID": 4 164 } 165 ] 166 } 167 ], 168 "RECORD_TYPE": [ 169 { 170 "FEAT_DESC": "PERSON", 171 "LIB_FEAT_ID": 10, 172 "FEAT_DESC_VALUES": [ 173 { 174 "FEAT_DESC": "PERSON", 175 "LIB_FEAT_ID": 10 176 } 177 ] 178 } 179 ] 180 }, 181 "RECORD_SUMMARY": [ 182 { 183 "DATA_SOURCE": "CUSTOMERS", 184 "RECORD_COUNT": 3 185 } 186 ] 187 } 188 } 189 } 190 ] 191}
- abstract why_entities(entity_id_1: int, entity_id_2: int, flags: int = <SzEngineFlags.SZ_WHY_ENTITIES_DEFAULT_FLAGS: 96009152>) str [source]
The why_entities method determines why entities did not resolve or why they do relate.
- Parameters:
entity_id_1 (int) – The entity ID for the starting entity of the search path.
entity_id_2 (int) – The entity ID for the ending entity of the search path.
flags (int, optional) – Flags used to control information returned. Defaults to SzEngineFlags.SZ_WHY_ENTITY_DEFAULT_FLAGS.
- Returns:
A JSON document.
- Return type:
str
Raises:
Example:
1from senzing import SzEngineFlags, SzError 2 3from . import sz_engine 4 5try: 6 ENTITY_ID_1 = 1 7 ENTITY_ID_2 = 4 8 flags = SzEngineFlags.SZ_WHY_ENTITIES_DEFAULT_FLAGS 9 result = sz_engine.why_entities( 10 ENTITY_ID_1, 11 ENTITY_ID_2, 12 flags, 13 ) 14 print(f"\n{result}\n") 15except SzError as err: 16 print(f"\nERROR: {err}\n")
Output:
1// Output has been formatted for easier reading. 2 3{ 4 "WHY_RESULTS": [ 5 { 6 "ENTITY_ID": 1, 7 "ENTITY_ID_2": 35, 8 "MATCH_INFO": { 9 "WHY_KEY": "", 10 "WHY_ERRULE_CODE": "", 11 "MATCH_LEVEL_CODE": "", 12 "CANDIDATE_KEYS": {}, 13 "DISCLOSED_RELATIONS": {}, 14 "FEATURE_SCORES": {} 15 } 16 } 17 ], 18 "ENTITIES": [ 19 { 20 "RESOLVED_ENTITY": { 21 "ENTITY_ID": 1, 22 "ENTITY_NAME": "", 23 "FEATURES": {}, 24 "RECORD_SUMMARY": [ 25 { 26 "DATA_SOURCE": "TEST", 27 "RECORD_COUNT": 1 28 } 29 ], 30 "RECORDS": [ 31 { 32 "DATA_SOURCE": "TEST", 33 "RECORD_ID": "2", 34 "INTERNAL_ID": 1, 35 "MATCH_KEY": "", 36 "MATCH_LEVEL_CODE": "", 37 "ERRULE_CODE": "", 38 "FIRST_SEEN_DT": "2024-10-25T17:38:57Z", 39 "LAST_SEEN_DT": "2024-10-25T17:39:00Z" 40 } 41 ] 42 }, 43 "RELATED_ENTITIES": [] 44 }, 45 { 46 "RESOLVED_ENTITY": { 47 "ENTITY_ID": 35, 48 "ENTITY_NAME": "Robert Smith", 49 "FEATURES": { 50 "ADDRESS": [ 51 { 52 "FEAT_DESC": "1515 Adela Lane Las Vegas NV 89111", 53 "LIB_FEAT_ID": 22, 54 "USAGE_TYPE": "HOME", 55 "FEAT_DESC_VALUES": [ 56 { 57 "FEAT_DESC": "1515 Adela Lane Las Vegas NV 89111", 58 "LIB_FEAT_ID": 22, 59 "USED_FOR_CAND": "N", 60 "USED_FOR_SCORING": "Y", 61 "ENTITY_COUNT": 1, 62 "CANDIDATE_CAP_REACHED": "N", 63 "SCORING_CAP_REACHED": "N", 64 "SUPPRESSED": "N" 65 } 66 ] 67 }, 68 { 69 "FEAT_DESC": "123 Main Street, Las Vegas NV 89132", 70 "LIB_FEAT_ID": 3, 71 "USAGE_TYPE": "MAILING", 72 "FEAT_DESC_VALUES": [ 73 { 74 "FEAT_DESC": "123 Main Street, Las Vegas NV 89132", 75 "LIB_FEAT_ID": 3, 76 "USED_FOR_CAND": "N", 77 "USED_FOR_SCORING": "Y", 78 "ENTITY_COUNT": 1, 79 "CANDIDATE_CAP_REACHED": "N", 80 "SCORING_CAP_REACHED": "N", 81 "SUPPRESSED": "N" 82 } 83 ] 84 } 85 ], 86 "ADDR_KEY": [ 87 { 88 "FEAT_DESC": "123|MN||89132", 89 "LIB_FEAT_ID": 8, 90 "FEAT_DESC_VALUES": [ 91 { 92 "FEAT_DESC": "123|MN||89132", 93 "LIB_FEAT_ID": 8, 94 "USED_FOR_CAND": "Y", 95 "USED_FOR_SCORING": "N", 96 "ENTITY_COUNT": 1, 97 "CANDIDATE_CAP_REACHED": "N", 98 "SCORING_CAP_REACHED": "N", 99 "SUPPRESSED": "N" 100 } 101 ] 102 }, 103 { 104 "FEAT_DESC": "123|MN||LS FKS", 105 "LIB_FEAT_ID": 7, 106 "FEAT_DESC_VALUES": [ 107 { 108 "FEAT_DESC": "123|MN||LS FKS", 109 "LIB_FEAT_ID": 7, 110 "USED_FOR_CAND": "Y", 111 "USED_FOR_SCORING": "N", 112 "ENTITY_COUNT": 1, 113 "CANDIDATE_CAP_REACHED": "N", 114 "SCORING_CAP_REACHED": "N", 115 "SUPPRESSED": "N" 116 } 117 ] 118 }, 119 { 120 "FEAT_DESC": "1515|ATL||89111", 121 "LIB_FEAT_ID": 24, 122 "FEAT_DESC_VALUES": [ 123 { 124 "FEAT_DESC": "1515|ATL||89111", 125 "LIB_FEAT_ID": 24, 126 "USED_FOR_CAND": "Y", 127 "USED_FOR_SCORING": "N", 128 "ENTITY_COUNT": 1, 129 "CANDIDATE_CAP_REACHED": "N", 130 "SCORING_CAP_REACHED": "N", 131 "SUPPRESSED": "N" 132 } 133 ] 134 }, 135 { 136 "FEAT_DESC": "1515|ATL||LS FKS", 137 "LIB_FEAT_ID": 25, 138 "FEAT_DESC_VALUES": [ 139 { 140 "FEAT_DESC": "1515|ATL||LS FKS", 141 "LIB_FEAT_ID": 25, 142 "USED_FOR_CAND": "Y", 143 "USED_FOR_SCORING": "N", 144 "ENTITY_COUNT": 1, 145 "CANDIDATE_CAP_REACHED": "N", 146 "SCORING_CAP_REACHED": "N", 147 "SUPPRESSED": "N" 148 } 149 ] 150 } 151 ], 152 "DOB": [ 153 { 154 "FEAT_DESC": "12/11/1978", 155 "LIB_FEAT_ID": 2, 156 "FEAT_DESC_VALUES": [ 157 { 158 "FEAT_DESC": "12/11/1978", 159 "LIB_FEAT_ID": 2, 160 "USED_FOR_CAND": "Y", 161 "USED_FOR_SCORING": "Y", 162 "ENTITY_COUNT": 1, 163 "CANDIDATE_CAP_REACHED": "N", 164 "SCORING_CAP_REACHED": "N", 165 "SUPPRESSED": "N" 166 }, 167 { 168 "FEAT_DESC": "11/12/1978", 169 "LIB_FEAT_ID": 21, 170 "USED_FOR_CAND": "Y", 171 "USED_FOR_SCORING": "Y", 172 "ENTITY_COUNT": 1, 173 "CANDIDATE_CAP_REACHED": "N", 174 "SCORING_CAP_REACHED": "N", 175 "SUPPRESSED": "N" 176 } 177 ] 178 } 179 ], 180 "EMAIL": [ 181 { 182 "FEAT_DESC": "bsmith@work.com", 183 "LIB_FEAT_ID": 5, 184 "FEAT_DESC_VALUES": [ 185 { 186 "FEAT_DESC": "bsmith@work.com", 187 "LIB_FEAT_ID": 5, 188 "USED_FOR_CAND": "N", 189 "USED_FOR_SCORING": "Y", 190 "ENTITY_COUNT": 1, 191 "CANDIDATE_CAP_REACHED": "N", 192 "SCORING_CAP_REACHED": "N", 193 "SUPPRESSED": "N" 194 } 195 ] 196 } 197 ], 198 "EMAIL_KEY": [ 199 { 200 "FEAT_DESC": "bsmith@WORK.COM", 201 "LIB_FEAT_ID": 11, 202 "FEAT_DESC_VALUES": [ 203 { 204 "FEAT_DESC": "bsmith@WORK.COM", 205 "LIB_FEAT_ID": 11, 206 "USED_FOR_CAND": "Y", 207 "USED_FOR_SCORING": "N", 208 "ENTITY_COUNT": 1, 209 "CANDIDATE_CAP_REACHED": "N", 210 "SCORING_CAP_REACHED": "N", 211 "SUPPRESSED": "N" 212 } 213 ] 214 } 215 ], 216 "NAME": [ 217 { 218 "FEAT_DESC": "Robert Smith", 219 "LIB_FEAT_ID": 1, 220 "USAGE_TYPE": "PRIMARY", 221 "FEAT_DESC_VALUES": [ 222 { 223 "FEAT_DESC": "Robert Smith", 224 "LIB_FEAT_ID": 1, 225 "USED_FOR_CAND": "N", 226 "USED_FOR_SCORING": "Y", 227 "ENTITY_COUNT": 1, 228 "CANDIDATE_CAP_REACHED": "N", 229 "SCORING_CAP_REACHED": "N", 230 "SUPPRESSED": "N" 231 }, 232 { 233 "FEAT_DESC": "Bob J Smith", 234 "LIB_FEAT_ID": 38, 235 "USED_FOR_CAND": "N", 236 "USED_FOR_SCORING": "Y", 237 "ENTITY_COUNT": 1, 238 "CANDIDATE_CAP_REACHED": "N", 239 "SCORING_CAP_REACHED": "N", 240 "SUPPRESSED": "N" 241 }, 242 { 243 "FEAT_DESC": "Bob Smith", 244 "LIB_FEAT_ID": 20, 245 "USED_FOR_CAND": "N", 246 "USED_FOR_SCORING": "Y", 247 "ENTITY_COUNT": 1, 248 "CANDIDATE_CAP_REACHED": "N", 249 "SCORING_CAP_REACHED": "N", 250 "SUPPRESSED": "Y" 251 } 252 ] 253 } 254 ], 255 "NAMEADDR_KEY": [ 256 { 257 "FEAT_DESC": "PP|SM0|ADDR_KEY.EXPRESSION=1515|ATL||89111", 258 "LIB_FEAT_ID": 27, 259 "FEAT_DESC_VALUES": [ 260 { 261 "FEAT_DESC": "PP|SM0|ADDR_KEY.EXPRESSION=1515|ATL||89111", 262 "LIB_FEAT_ID": 27, 263 "USED_FOR_CAND": "Y", 264 "USED_FOR_SCORING": "N", 265 "ENTITY_COUNT": 1, 266 "CANDIDATE_CAP_REACHED": "N", 267 "SCORING_CAP_REACHED": "N", 268 "SUPPRESSED": "N" 269 } 270 ] 271 }, 272 { 273 "FEAT_DESC": "PP|SM0|ADDR_KEY.EXPRESSION=1515|ATL||LS FKS", 274 "LIB_FEAT_ID": 28, 275 "FEAT_DESC_VALUES": [ 276 { 277 "FEAT_DESC": "PP|SM0|ADDR_KEY.EXPRESSION=1515|ATL||LS FKS", 278 "LIB_FEAT_ID": 28, 279 "USED_FOR_CAND": "Y", 280 "USED_FOR_SCORING": "N", 281 "ENTITY_COUNT": 1, 282 "CANDIDATE_CAP_REACHED": "N", 283 "SCORING_CAP_REACHED": "N", 284 "SUPPRESSED": "N" 285 } 286 ] 287 }, 288 { 289 "FEAT_DESC": "RPRT|SM0|ADDR_KEY.EXPRESSION=123|MN||89132", 290 "LIB_FEAT_ID": 12, 291 "FEAT_DESC_VALUES": [ 292 { 293 "FEAT_DESC": "RPRT|SM0|ADDR_KEY.EXPRESSION=123|MN||89132", 294 "LIB_FEAT_ID": 12, 295 "USED_FOR_CAND": "Y", 296 "USED_FOR_SCORING": "N", 297 "ENTITY_COUNT": 1, 298 "CANDIDATE_CAP_REACHED": "N", 299 "SCORING_CAP_REACHED": "N", 300 "SUPPRESSED": "N" 301 } 302 ] 303 }, 304 { 305 "FEAT_DESC": "RPRT|SM0|ADDR_KEY.EXPRESSION=123|MN||LS FKS", 306 "LIB_FEAT_ID": 13, 307 "FEAT_DESC_VALUES": [ 308 { 309 "FEAT_DESC": "RPRT|SM0|ADDR_KEY.EXPRESSION=123|MN||LS FKS", 310 "LIB_FEAT_ID": 13, 311 "USED_FOR_CAND": "Y", 312 "USED_FOR_SCORING": "N", 313 "ENTITY_COUNT": 1, 314 "CANDIDATE_CAP_REACHED": "N", 315 "SCORING_CAP_REACHED": "N", 316 "SUPPRESSED": "N" 317 } 318 ] 319 }, 320 { 321 "FEAT_DESC": "RPRT|SM0|ADDR_KEY.EXPRESSION=1515|ATL||89111", 322 "LIB_FEAT_ID": 29, 323 "FEAT_DESC_VALUES": [ 324 { 325 "FEAT_DESC": "RPRT|SM0|ADDR_KEY.EXPRESSION=1515|ATL||89111", 326 "LIB_FEAT_ID": 29, 327 "USED_FOR_CAND": "Y", 328 "USED_FOR_SCORING": "N", 329 "ENTITY_COUNT": 1, 330 "CANDIDATE_CAP_REACHED": "N", 331 "SCORING_CAP_REACHED": "N", 332 "SUPPRESSED": "N" 333 } 334 ] 335 }, 336 { 337 "FEAT_DESC": "RPRT|SM0|ADDR_KEY.EXPRESSION=1515|ATL||LS FKS", 338 "LIB_FEAT_ID": 26, 339 "FEAT_DESC_VALUES": [ 340 { 341 "FEAT_DESC": "RPRT|SM0|ADDR_KEY.EXPRESSION=1515|ATL||LS FKS", 342 "LIB_FEAT_ID": 26, 343 "USED_FOR_CAND": "Y", 344 "USED_FOR_SCORING": "N", 345 "ENTITY_COUNT": 1, 346 "CANDIDATE_CAP_REACHED": "N", 347 "SCORING_CAP_REACHED": "N", 348 "SUPPRESSED": "N" 349 } 350 ] 351 } 352 ], 353 "NAMEDATE_KEY": [ 354 { 355 "FEAT_DESC": "J|PP|SM0|DOB.MMDD_HASH=1211", 356 "LIB_FEAT_ID": 43, 357 "FEAT_DESC_VALUES": [ 358 { 359 "FEAT_DESC": "J|PP|SM0|DOB.MMDD_HASH=1211", 360 "LIB_FEAT_ID": 43, 361 "USED_FOR_CAND": "Y", 362 "USED_FOR_SCORING": "N", 363 "ENTITY_COUNT": 1, 364 "CANDIDATE_CAP_REACHED": "N", 365 "SCORING_CAP_REACHED": "N", 366 "SUPPRESSED": "N" 367 } 368 ] 369 }, 370 { 371 "FEAT_DESC": "J|PP|SM0|DOB.MMYY_HASH=1278", 372 "LIB_FEAT_ID": 41, 373 "FEAT_DESC_VALUES": [ 374 { 375 "FEAT_DESC": "J|PP|SM0|DOB.MMYY_HASH=1278", 376 "LIB_FEAT_ID": 41, 377 "USED_FOR_CAND": "Y", 378 "USED_FOR_SCORING": "N", 379 "ENTITY_COUNT": 1, 380 "CANDIDATE_CAP_REACHED": "N", 381 "SCORING_CAP_REACHED": "N", 382 "SUPPRESSED": "N" 383 } 384 ] 385 }, 386 { 387 "FEAT_DESC": "J|PP|SM0|DOB=71211", 388 "LIB_FEAT_ID": 40, 389 "FEAT_DESC_VALUES": [ 390 { 391 "FEAT_DESC": "J|PP|SM0|DOB=71211", 392 "LIB_FEAT_ID": 40, 393 "USED_FOR_CAND": "Y", 394 "USED_FOR_SCORING": "N", 395 "ENTITY_COUNT": 1, 396 "CANDIDATE_CAP_REACHED": "N", 397 "SCORING_CAP_REACHED": "N", 398 "SUPPRESSED": "N" 399 } 400 ] 401 }, 402 { 403 "FEAT_DESC": "PP|SM0|DOB.MMDD_HASH=1211", 404 "LIB_FEAT_ID": 32, 405 "FEAT_DESC_VALUES": [ 406 { 407 "FEAT_DESC": "PP|SM0|DOB.MMDD_HASH=1211", 408 "LIB_FEAT_ID": 32, 409 "USED_FOR_CAND": "Y", 410 "USED_FOR_SCORING": "N", 411 "ENTITY_COUNT": 1, 412 "CANDIDATE_CAP_REACHED": "N", 413 "SCORING_CAP_REACHED": "N", 414 "SUPPRESSED": "N" 415 } 416 ] 417 }, 418 { 419 "FEAT_DESC": "PP|SM0|DOB.MMYY_HASH=1178", 420 "LIB_FEAT_ID": 33, 421 "FEAT_DESC_VALUES": [ 422 { 423 "FEAT_DESC": "PP|SM0|DOB.MMYY_HASH=1178", 424 "LIB_FEAT_ID": 33, 425 "USED_FOR_CAND": "Y", 426 "USED_FOR_SCORING": "N", 427 "ENTITY_COUNT": 1, 428 "CANDIDATE_CAP_REACHED": "N", 429 "SCORING_CAP_REACHED": "N", 430 "SUPPRESSED": "N" 431 } 432 ] 433 }, 434 { 435 "FEAT_DESC": "PP|SM0|DOB.MMYY_HASH=1278", 436 "LIB_FEAT_ID": 42, 437 "FEAT_DESC_VALUES": [ 438 { 439 "FEAT_DESC": "PP|SM0|DOB.MMYY_HASH=1278", 440 "LIB_FEAT_ID": 42, 441 "USED_FOR_CAND": "Y", 442 "USED_FOR_SCORING": "N", 443 "ENTITY_COUNT": 1, 444 "CANDIDATE_CAP_REACHED": "N", 445 "SCORING_CAP_REACHED": "N", 446 "SUPPRESSED": "N" 447 } 448 ] 449 }, 450 { 451 "FEAT_DESC": "PP|SM0|DOB=71211", 452 "LIB_FEAT_ID": 31, 453 "FEAT_DESC_VALUES": [ 454 { 455 "FEAT_DESC": "PP|SM0|DOB=71211", 456 "LIB_FEAT_ID": 31, 457 "USED_FOR_CAND": "Y", 458 "USED_FOR_SCORING": "N", 459 "ENTITY_COUNT": 1, 460 "CANDIDATE_CAP_REACHED": "N", 461 "SCORING_CAP_REACHED": "N", 462 "SUPPRESSED": "N" 463 } 464 ] 465 }, 466 { 467 "FEAT_DESC": "RPRT|SM0|DOB.MMDD_HASH=1211", 468 "LIB_FEAT_ID": 14, 469 "FEAT_DESC_VALUES": [ 470 { 471 "FEAT_DESC": "RPRT|SM0|DOB.MMDD_HASH=1211", 472 "LIB_FEAT_ID": 14, 473 "USED_FOR_CAND": "Y", 474 "USED_FOR_SCORING": "N", 475 "ENTITY_COUNT": 1, 476 "CANDIDATE_CAP_REACHED": "N", 477 "SCORING_CAP_REACHED": "N", 478 "SUPPRESSED": "N" 479 } 480 ] 481 }, 482 { 483 "FEAT_DESC": "RPRT|SM0|DOB.MMYY_HASH=1178", 484 "LIB_FEAT_ID": 30, 485 "FEAT_DESC_VALUES": [ 486 { 487 "FEAT_DESC": "RPRT|SM0|DOB.MMYY_HASH=1178", 488 "LIB_FEAT_ID": 30, 489 "USED_FOR_CAND": "Y", 490 "USED_FOR_SCORING": "N", 491 "ENTITY_COUNT": 1, 492 "CANDIDATE_CAP_REACHED": "N", 493 "SCORING_CAP_REACHED": "N", 494 "SUPPRESSED": "N" 495 } 496 ] 497 }, 498 { 499 "FEAT_DESC": "RPRT|SM0|DOB.MMYY_HASH=1278", 500 "LIB_FEAT_ID": 16, 501 "FEAT_DESC_VALUES": [ 502 { 503 "FEAT_DESC": "RPRT|SM0|DOB.MMYY_HASH=1278", 504 "LIB_FEAT_ID": 16, 505 "USED_FOR_CAND": "Y", 506 "USED_FOR_SCORING": "N", 507 "ENTITY_COUNT": 1, 508 "CANDIDATE_CAP_REACHED": "N", 509 "SCORING_CAP_REACHED": "N", 510 "SUPPRESSED": "N" 511 } 512 ] 513 }, 514 { 515 "FEAT_DESC": "RPRT|SM0|DOB=71211", 516 "LIB_FEAT_ID": 15, 517 "FEAT_DESC_VALUES": [ 518 { 519 "FEAT_DESC": "RPRT|SM0|DOB=71211", 520 "LIB_FEAT_ID": 15, 521 "USED_FOR_CAND": "Y", 522 "USED_FOR_SCORING": "N", 523 "ENTITY_COUNT": 1, 524 "CANDIDATE_CAP_REACHED": "N", 525 "SCORING_CAP_REACHED": "N", 526 "SUPPRESSED": "N" 527 } 528 ] 529 } 530 ], 531 "NAMEPHONE_KEY": [ 532 { 533 "FEAT_DESC": "PP|SM0|PHONE.PHONE_LAST_5=91300", 534 "LIB_FEAT_ID": 37, 535 "FEAT_DESC_VALUES": [ 536 { 537 "FEAT_DESC": "PP|SM0|PHONE.PHONE_LAST_5=91300", 538 "LIB_FEAT_ID": 37, 539 "USED_FOR_CAND": "Y", 540 "USED_FOR_SCORING": "N", 541 "ENTITY_COUNT": 1, 542 "CANDIDATE_CAP_REACHED": "N", 543 "SCORING_CAP_REACHED": "N", 544 "SUPPRESSED": "N" 545 } 546 ] 547 }, 548 { 549 "FEAT_DESC": "RPRT|SM0|PHONE.PHONE_LAST_5=91300", 550 "LIB_FEAT_ID": 19, 551 "FEAT_DESC_VALUES": [ 552 { 553 "FEAT_DESC": "RPRT|SM0|PHONE.PHONE_LAST_5=91300", 554 "LIB_FEAT_ID": 19, 555 "USED_FOR_CAND": "Y", 556 "USED_FOR_SCORING": "N", 557 "ENTITY_COUNT": 1, 558 "CANDIDATE_CAP_REACHED": "N", 559 "SCORING_CAP_REACHED": "N", 560 "SUPPRESSED": "N" 561 } 562 ] 563 } 564 ], 565 "NAMEREGION_KEY": [ 566 { 567 "FEAT_DESC": "PP|SM0|ADDRESS.CITY_STD=LS FKS", 568 "LIB_FEAT_ID": 36, 569 "FEAT_DESC_VALUES": [ 570 { 571 "FEAT_DESC": "PP|SM0|ADDRESS.CITY_STD=LS FKS", 572 "LIB_FEAT_ID": 36, 573 "USED_FOR_CAND": "Y", 574 "USED_FOR_SCORING": "N", 575 "ENTITY_COUNT": 1, 576 "CANDIDATE_CAP_REACHED": "N", 577 "SCORING_CAP_REACHED": "N", 578 "SUPPRESSED": "N" 579 } 580 ] 581 }, 582 { 583 "FEAT_DESC": "PP|SM0|POST=89111", 584 "LIB_FEAT_ID": 35, 585 "FEAT_DESC_VALUES": [ 586 { 587 "FEAT_DESC": "PP|SM0|POST=89111", 588 "LIB_FEAT_ID": 35, 589 "USED_FOR_CAND": "Y", 590 "USED_FOR_SCORING": "N", 591 "ENTITY_COUNT": 1, 592 "CANDIDATE_CAP_REACHED": "N", 593 "SCORING_CAP_REACHED": "N", 594 "SUPPRESSED": "N" 595 } 596 ] 597 }, 598 { 599 "FEAT_DESC": "RPRT|SM0|ADDRESS.CITY_STD=LS FKS", 600 "LIB_FEAT_ID": 18, 601 "FEAT_DESC_VALUES": [ 602 { 603 "FEAT_DESC": "RPRT|SM0|ADDRESS.CITY_STD=LS FKS", 604 "LIB_FEAT_ID": 18, 605 "USED_FOR_CAND": "Y", 606 "USED_FOR_SCORING": "N", 607 "ENTITY_COUNT": 1, 608 "CANDIDATE_CAP_REACHED": "N", 609 "SCORING_CAP_REACHED": "N", 610 "SUPPRESSED": "N" 611 } 612 ] 613 }, 614 { 615 "FEAT_DESC": "RPRT|SM0|POST=89111", 616 "LIB_FEAT_ID": 34, 617 "FEAT_DESC_VALUES": [ 618 { 619 "FEAT_DESC": "RPRT|SM0|POST=89111", 620 "LIB_FEAT_ID": 34, 621 "USED_FOR_CAND": "Y", 622 "USED_FOR_SCORING": "N", 623 "ENTITY_COUNT": 1, 624 "CANDIDATE_CAP_REACHED": "N", 625 "SCORING_CAP_REACHED": "N", 626 "SUPPRESSED": "N" 627 } 628 ] 629 }, 630 { 631 "FEAT_DESC": "RPRT|SM0|POST=89132", 632 "LIB_FEAT_ID": 17, 633 "FEAT_DESC_VALUES": [ 634 { 635 "FEAT_DESC": "RPRT|SM0|POST=89132", 636 "LIB_FEAT_ID": 17, 637 "USED_FOR_CAND": "Y", 638 "USED_FOR_SCORING": "N", 639 "ENTITY_COUNT": 1, 640 "CANDIDATE_CAP_REACHED": "N", 641 "SCORING_CAP_REACHED": "N", 642 "SUPPRESSED": "N" 643 } 644 ] 645 } 646 ], 647 "NAME_KEY": [ 648 { 649 "FEAT_DESC": "J|PP|SM0", 650 "LIB_FEAT_ID": 39, 651 "FEAT_DESC_VALUES": [ 652 { 653 "FEAT_DESC": "J|PP|SM0", 654 "LIB_FEAT_ID": 39, 655 "USED_FOR_CAND": "Y", 656 "USED_FOR_SCORING": "N", 657 "ENTITY_COUNT": 1, 658 "CANDIDATE_CAP_REACHED": "N", 659 "SCORING_CAP_REACHED": "N", 660 "SUPPRESSED": "N" 661 } 662 ] 663 }, 664 { 665 "FEAT_DESC": "PP|SM0", 666 "LIB_FEAT_ID": 23, 667 "FEAT_DESC_VALUES": [ 668 { 669 "FEAT_DESC": "PP|SM0", 670 "LIB_FEAT_ID": 23, 671 "USED_FOR_CAND": "Y", 672 "USED_FOR_SCORING": "N", 673 "ENTITY_COUNT": 1, 674 "CANDIDATE_CAP_REACHED": "N", 675 "SCORING_CAP_REACHED": "N", 676 "SUPPRESSED": "N" 677 } 678 ] 679 }, 680 { 681 "FEAT_DESC": "RPRT|SM0", 682 "LIB_FEAT_ID": 6, 683 "FEAT_DESC_VALUES": [ 684 { 685 "FEAT_DESC": "RPRT|SM0", 686 "LIB_FEAT_ID": 6, 687 "USED_FOR_CAND": "Y", 688 "USED_FOR_SCORING": "N", 689 "ENTITY_COUNT": 1, 690 "CANDIDATE_CAP_REACHED": "N", 691 "SCORING_CAP_REACHED": "N", 692 "SUPPRESSED": "N" 693 } 694 ] 695 } 696 ], 697 "PHONE": [ 698 { 699 "FEAT_DESC": "702-919-1300", 700 "LIB_FEAT_ID": 4, 701 "USAGE_TYPE": "HOME", 702 "FEAT_DESC_VALUES": [ 703 { 704 "FEAT_DESC": "702-919-1300", 705 "LIB_FEAT_ID": 4, 706 "USED_FOR_CAND": "N", 707 "USED_FOR_SCORING": "Y", 708 "ENTITY_COUNT": 1, 709 "CANDIDATE_CAP_REACHED": "N", 710 "SCORING_CAP_REACHED": "N", 711 "SUPPRESSED": "N" 712 } 713 ] 714 }, 715 { 716 "FEAT_DESC": "702-919-1300", 717 "LIB_FEAT_ID": 4, 718 "USAGE_TYPE": "MOBILE", 719 "FEAT_DESC_VALUES": [ 720 { 721 "FEAT_DESC": "702-919-1300", 722 "LIB_FEAT_ID": 4, 723 "USED_FOR_CAND": "N", 724 "USED_FOR_SCORING": "Y", 725 "ENTITY_COUNT": 1, 726 "CANDIDATE_CAP_REACHED": "N", 727 "SCORING_CAP_REACHED": "N", 728 "SUPPRESSED": "N" 729 } 730 ] 731 } 732 ], 733 "PHONE_KEY": [ 734 { 735 "FEAT_DESC": "7029191300", 736 "LIB_FEAT_ID": 9, 737 "FEAT_DESC_VALUES": [ 738 { 739 "FEAT_DESC": "7029191300", 740 "LIB_FEAT_ID": 9, 741 "USED_FOR_CAND": "Y", 742 "USED_FOR_SCORING": "N", 743 "ENTITY_COUNT": 1, 744 "CANDIDATE_CAP_REACHED": "N", 745 "SCORING_CAP_REACHED": "N", 746 "SUPPRESSED": "N" 747 } 748 ] 749 } 750 ], 751 "RECORD_TYPE": [ 752 { 753 "FEAT_DESC": "PERSON", 754 "LIB_FEAT_ID": 10, 755 "FEAT_DESC_VALUES": [ 756 { 757 "FEAT_DESC": "PERSON", 758 "LIB_FEAT_ID": 10, 759 "USED_FOR_CAND": "N", 760 "USED_FOR_SCORING": "Y", 761 "ENTITY_COUNT": 100, 762 "CANDIDATE_CAP_REACHED": "N", 763 "SCORING_CAP_REACHED": "N", 764 "SUPPRESSED": "N" 765 } 766 ] 767 } 768 ] 769 }, 770 "RECORD_SUMMARY": [ 771 { 772 "DATA_SOURCE": "CUSTOMERS", 773 "RECORD_COUNT": 3 774 } 775 ], 776 "RECORDS": [ 777 { 778 "DATA_SOURCE": "CUSTOMERS", 779 "RECORD_ID": "1001", 780 "INTERNAL_ID": 35, 781 "MATCH_KEY": "", 782 "MATCH_LEVEL_CODE": "", 783 "ERRULE_CODE": "", 784 "FIRST_SEEN_DT": "2024-10-25T17:39:00Z", 785 "LAST_SEEN_DT": "2024-10-25T17:39:00Z" 786 }, 787 { 788 "DATA_SOURCE": "CUSTOMERS", 789 "RECORD_ID": "1002", 790 "INTERNAL_ID": 36, 791 "MATCH_KEY": "+NAME+DOB+PHONE", 792 "MATCH_LEVEL_CODE": "RESOLVED", 793 "ERRULE_CODE": "CNAME_CFF_CEXCL", 794 "FIRST_SEEN_DT": "2024-10-25T17:39:00Z", 795 "LAST_SEEN_DT": "2024-10-25T17:39:00Z" 796 }, 797 { 798 "DATA_SOURCE": "CUSTOMERS", 799 "RECORD_ID": "1003", 800 "INTERNAL_ID": 37, 801 "MATCH_KEY": "+NAME+DOB+EMAIL", 802 "MATCH_LEVEL_CODE": "RESOLVED", 803 "ERRULE_CODE": "SF1_PNAME_CSTAB", 804 "FIRST_SEEN_DT": "2024-10-25T17:39:00Z", 805 "LAST_SEEN_DT": "2024-10-25T17:39:00Z" 806 } 807 ] 808 }, 809 "RELATED_ENTITIES": [] 810 } 811 ] 812}
- abstract why_record_in_entity(data_source_code: str, record_id: str, flags: int = <SzEngineFlags.SZ_WHY_ENTITIES_DEFAULT_FLAGS: 96009152>) str [source]
The why_record_in_entity method determines why a record is included in an entity.
- Parameters:
data_source_code (str) – Identifies the provenance of the data.
record_id (str) – The unique identifier within the records of the same data source.
flags (int, optional) – Flags used to control information returned. Defaults to SzEngineFlags.SZ_WHY_ENTITY_DEFAULT_FLAGS.
- Returns:
A JSON document.
- Return type:
str
Raises:
Example:
1from senzing import SzEngineFlags, SzError 2 3from . import sz_engine 4 5try: 6 DATA_SOURCE_CODE = "CUSTOMERS" 7 flags = SzEngineFlags.SZ_WHY_RECORDS_DEFAULT_FLAGS 8 RECORD_ID = "1001" 9 result = sz_engine.why_record_in_entity( 10 DATA_SOURCE_CODE, 11 RECORD_ID, 12 flags, 13 ) 14 print(f"\n{result}\n") 15except SzError as err: 16 print(f"\nERROR: {err}\n")
Output:
1// Output has been formatted for easier reading. 2{ 3 "WHY_RESULTS": [ 4 { 5 "INTERNAL_ID": 35, 6 "ENTITY_ID": 35, 7 "FOCUS_RECORDS": [ 8 { 9 "DATA_SOURCE": "CUSTOMERS", 10 "RECORD_ID": "1001" 11 } 12 ], 13 "MATCH_INFO": { 14 "WHY_KEY": "+NAME+DOB+PHONE+EMAIL", 15 "WHY_ERRULE_CODE": "SF1_SNAME_CFF_CSTAB", 16 "MATCH_LEVEL_CODE": "RESOLVED", 17 "CANDIDATE_KEYS": { 18 "DOB": [ 19 { 20 "FEAT_ID": 2, 21 "FEAT_DESC": "12/11/1978" 22 } 23 ], 24 "EMAIL_KEY": [ 25 { 26 "FEAT_ID": 11, 27 "FEAT_DESC": "bsmith@WORK.COM" 28 } 29 ], 30 "NAMEDATE_KEY": [ 31 { 32 "FEAT_ID": 14, 33 "FEAT_DESC": "RPRT|SM0|DOB.MMDD_HASH=1211" 34 }, 35 { 36 "FEAT_ID": 15, 37 "FEAT_DESC": "RPRT|SM0|DOB=71211" 38 }, 39 { 40 "FEAT_ID": 16, 41 "FEAT_DESC": "RPRT|SM0|DOB.MMYY_HASH=1278" 42 } 43 ], 44 "NAMEPHONE_KEY": [ 45 { 46 "FEAT_ID": 19, 47 "FEAT_DESC": "RPRT|SM0|PHONE.PHONE_LAST_5=91300" 48 } 49 ], 50 "NAMEREGION_KEY": [ 51 { 52 "FEAT_ID": 18, 53 "FEAT_DESC": "RPRT|SM0|ADDRESS.CITY_STD=LS FKS" 54 } 55 ], 56 "NAME_KEY": [ 57 { 58 "FEAT_ID": 6, 59 "FEAT_DESC": "RPRT|SM0" 60 } 61 ], 62 "PHONE_KEY": [ 63 { 64 "FEAT_ID": 9, 65 "FEAT_DESC": "7029191300" 66 } 67 ] 68 }, 69 "FEATURE_SCORES": { 70 "ADDRESS": [ 71 { 72 "INBOUND_FEAT_ID": 3, 73 "INBOUND_FEAT_DESC": "123 Main Street, Las Vegas NV 89132", 74 "INBOUND_FEAT_USAGE_TYPE": "MAILING", 75 "CANDIDATE_FEAT_ID": 22, 76 "CANDIDATE_FEAT_DESC": "1515 Adela Lane Las Vegas NV 89111", 77 "CANDIDATE_FEAT_USAGE_TYPE": "HOME", 78 "SCORE": 42, 79 "ADDITIONAL_SCORES": { 80 "FULL_SCORE": 42 81 }, 82 "SCORE_BUCKET": "NO_CHANCE", 83 "SCORE_BEHAVIOR": "FF" 84 } 85 ], 86 "DOB": [ 87 { 88 "INBOUND_FEAT_ID": 2, 89 "INBOUND_FEAT_DESC": "12/11/1978", 90 "INBOUND_FEAT_USAGE_TYPE": "", 91 "CANDIDATE_FEAT_ID": 2, 92 "CANDIDATE_FEAT_DESC": "12/11/1978", 93 "CANDIDATE_FEAT_USAGE_TYPE": "", 94 "SCORE": 100, 95 "ADDITIONAL_SCORES": { 96 "FULL_SCORE": 100 97 }, 98 "SCORE_BUCKET": "SAME", 99 "SCORE_BEHAVIOR": "FMES" 100 } 101 ], 102 "EMAIL": [ 103 { 104 "INBOUND_FEAT_ID": 5, 105 "INBOUND_FEAT_DESC": "bsmith@work.com", 106 "INBOUND_FEAT_USAGE_TYPE": "", 107 "CANDIDATE_FEAT_ID": 5, 108 "CANDIDATE_FEAT_DESC": "bsmith@work.com", 109 "CANDIDATE_FEAT_USAGE_TYPE": "", 110 "SCORE": 100, 111 "ADDITIONAL_SCORES": { 112 "FULL_SCORE": 100 113 }, 114 "SCORE_BUCKET": "SAME", 115 "SCORE_BEHAVIOR": "F1" 116 } 117 ], 118 "NAME": [ 119 { 120 "INBOUND_FEAT_ID": 1, 121 "INBOUND_FEAT_DESC": "Robert Smith", 122 "INBOUND_FEAT_USAGE_TYPE": "PRIMARY", 123 "CANDIDATE_FEAT_ID": 38, 124 "CANDIDATE_FEAT_DESC": "Bob J Smith", 125 "CANDIDATE_FEAT_USAGE_TYPE": "PRIMARY", 126 "SCORE": 90, 127 "ADDITIONAL_SCORES": { 128 "GENERATION_MATCH": -1, 129 "GNR_FN": 90, 130 "GNR_GN": 88, 131 "GNR_ON": -1, 132 "GNR_SN": 100 133 }, 134 "SCORE_BUCKET": "CLOSE", 135 "SCORE_BEHAVIOR": "NAME" 136 }, 137 { 138 "INBOUND_FEAT_ID": 1, 139 "INBOUND_FEAT_DESC": "Robert Smith", 140 "INBOUND_FEAT_USAGE_TYPE": "PRIMARY", 141 "CANDIDATE_FEAT_ID": 20, 142 "CANDIDATE_FEAT_DESC": "Bob Smith", 143 "CANDIDATE_FEAT_USAGE_TYPE": "PRIMARY", 144 "SCORE": 97, 145 "ADDITIONAL_SCORES": { 146 "GENERATION_MATCH": -1, 147 "GNR_FN": 97, 148 "GNR_GN": 95, 149 "GNR_ON": -1, 150 "GNR_SN": 100 151 }, 152 "SCORE_BUCKET": "CLOSE", 153 "SCORE_BEHAVIOR": "NAME" 154 } 155 ], 156 "PHONE": [ 157 { 158 "INBOUND_FEAT_ID": 4, 159 "INBOUND_FEAT_DESC": "702-919-1300", 160 "INBOUND_FEAT_USAGE_TYPE": "HOME", 161 "CANDIDATE_FEAT_ID": 4, 162 "CANDIDATE_FEAT_DESC": "702-919-1300", 163 "CANDIDATE_FEAT_USAGE_TYPE": "MOBILE", 164 "SCORE": 100, 165 "ADDITIONAL_SCORES": { 166 "FULL_SCORE": 100 167 }, 168 "SCORE_BUCKET": "SAME", 169 "SCORE_BEHAVIOR": "FF" 170 } 171 ], 172 "RECORD_TYPE": [ 173 { 174 "INBOUND_FEAT_ID": 10, 175 "INBOUND_FEAT_DESC": "PERSON", 176 "INBOUND_FEAT_USAGE_TYPE": "", 177 "CANDIDATE_FEAT_ID": 10, 178 "CANDIDATE_FEAT_DESC": "PERSON", 179 "CANDIDATE_FEAT_USAGE_TYPE": "", 180 "SCORE": 100, 181 "ADDITIONAL_SCORES": { 182 "FULL_SCORE": 100 183 }, 184 "SCORE_BUCKET": "SAME", 185 "SCORE_BEHAVIOR": "FVME" 186 } 187 ] 188 } 189 } 190 } 191 ], 192 "ENTITIES": [ 193 { 194 "RESOLVED_ENTITY": { 195 "ENTITY_ID": 35, 196 "ENTITY_NAME": "Robert Smith", 197 "FEATURES": { 198 "ADDRESS": [ 199 { 200 "FEAT_DESC": "1515 Adela Lane Las Vegas NV 89111", 201 "LIB_FEAT_ID": 22, 202 "USAGE_TYPE": "HOME", 203 "FEAT_DESC_VALUES": [ 204 { 205 "FEAT_DESC": "1515 Adela Lane Las Vegas NV 89111", 206 "LIB_FEAT_ID": 22, 207 "USED_FOR_CAND": "N", 208 "USED_FOR_SCORING": "Y", 209 "ENTITY_COUNT": 1, 210 "CANDIDATE_CAP_REACHED": "N", 211 "SCORING_CAP_REACHED": "N", 212 "SUPPRESSED": "N" 213 } 214 ] 215 }, 216 { 217 "FEAT_DESC": "123 Main Street, Las Vegas NV 89132", 218 "LIB_FEAT_ID": 3, 219 "USAGE_TYPE": "MAILING", 220 "FEAT_DESC_VALUES": [ 221 { 222 "FEAT_DESC": "123 Main Street, Las Vegas NV 89132", 223 "LIB_FEAT_ID": 3, 224 "USED_FOR_CAND": "N", 225 "USED_FOR_SCORING": "Y", 226 "ENTITY_COUNT": 1, 227 "CANDIDATE_CAP_REACHED": "N", 228 "SCORING_CAP_REACHED": "N", 229 "SUPPRESSED": "N" 230 } 231 ] 232 } 233 ], 234 "ADDR_KEY": [ 235 { 236 "FEAT_DESC": "123|MN||89132", 237 "LIB_FEAT_ID": 8, 238 "FEAT_DESC_VALUES": [ 239 { 240 "FEAT_DESC": "123|MN||89132", 241 "LIB_FEAT_ID": 8, 242 "USED_FOR_CAND": "Y", 243 "USED_FOR_SCORING": "N", 244 "ENTITY_COUNT": 1, 245 "CANDIDATE_CAP_REACHED": "N", 246 "SCORING_CAP_REACHED": "N", 247 "SUPPRESSED": "N" 248 } 249 ] 250 }, 251 { 252 "FEAT_DESC": "123|MN||LS FKS", 253 "LIB_FEAT_ID": 7, 254 "FEAT_DESC_VALUES": [ 255 { 256 "FEAT_DESC": "123|MN||LS FKS", 257 "LIB_FEAT_ID": 7, 258 "USED_FOR_CAND": "Y", 259 "USED_FOR_SCORING": "N", 260 "ENTITY_COUNT": 1, 261 "CANDIDATE_CAP_REACHED": "N", 262 "SCORING_CAP_REACHED": "N", 263 "SUPPRESSED": "N" 264 } 265 ] 266 }, 267 { 268 "FEAT_DESC": "1515|ATL||89111", 269 "LIB_FEAT_ID": 24, 270 "FEAT_DESC_VALUES": [ 271 { 272 "FEAT_DESC": "1515|ATL||89111", 273 "LIB_FEAT_ID": 24, 274 "USED_FOR_CAND": "Y", 275 "USED_FOR_SCORING": "N", 276 "ENTITY_COUNT": 1, 277 "CANDIDATE_CAP_REACHED": "N", 278 "SCORING_CAP_REACHED": "N", 279 "SUPPRESSED": "N" 280 } 281 ] 282 }, 283 { 284 "FEAT_DESC": "1515|ATL||LS FKS", 285 "LIB_FEAT_ID": 25, 286 "FEAT_DESC_VALUES": [ 287 { 288 "FEAT_DESC": "1515|ATL||LS FKS", 289 "LIB_FEAT_ID": 25, 290 "USED_FOR_CAND": "Y", 291 "USED_FOR_SCORING": "N", 292 "ENTITY_COUNT": 1, 293 "CANDIDATE_CAP_REACHED": "N", 294 "SCORING_CAP_REACHED": "N", 295 "SUPPRESSED": "N" 296 } 297 ] 298 } 299 ], 300 "DOB": [ 301 { 302 "FEAT_DESC": "12/11/1978", 303 "LIB_FEAT_ID": 2, 304 "FEAT_DESC_VALUES": [ 305 { 306 "FEAT_DESC": "12/11/1978", 307 "LIB_FEAT_ID": 2, 308 "USED_FOR_CAND": "Y", 309 "USED_FOR_SCORING": "Y", 310 "ENTITY_COUNT": 1, 311 "CANDIDATE_CAP_REACHED": "N", 312 "SCORING_CAP_REACHED": "N", 313 "SUPPRESSED": "N" 314 }, 315 { 316 "FEAT_DESC": "11/12/1978", 317 "LIB_FEAT_ID": 21, 318 "USED_FOR_CAND": "Y", 319 "USED_FOR_SCORING": "Y", 320 "ENTITY_COUNT": 1, 321 "CANDIDATE_CAP_REACHED": "N", 322 "SCORING_CAP_REACHED": "N", 323 "SUPPRESSED": "N" 324 } 325 ] 326 } 327 ], 328 "EMAIL": [ 329 { 330 "FEAT_DESC": "bsmith@work.com", 331 "LIB_FEAT_ID": 5, 332 "FEAT_DESC_VALUES": [ 333 { 334 "FEAT_DESC": "bsmith@work.com", 335 "LIB_FEAT_ID": 5, 336 "USED_FOR_CAND": "N", 337 "USED_FOR_SCORING": "Y", 338 "ENTITY_COUNT": 1, 339 "CANDIDATE_CAP_REACHED": "N", 340 "SCORING_CAP_REACHED": "N", 341 "SUPPRESSED": "N" 342 } 343 ] 344 } 345 ], 346 "EMAIL_KEY": [ 347 { 348 "FEAT_DESC": "bsmith@WORK.COM", 349 "LIB_FEAT_ID": 11, 350 "FEAT_DESC_VALUES": [ 351 { 352 "FEAT_DESC": "bsmith@WORK.COM", 353 "LIB_FEAT_ID": 11, 354 "USED_FOR_CAND": "Y", 355 "USED_FOR_SCORING": "N", 356 "ENTITY_COUNT": 1, 357 "CANDIDATE_CAP_REACHED": "N", 358 "SCORING_CAP_REACHED": "N", 359 "SUPPRESSED": "N" 360 } 361 ] 362 } 363 ], 364 "NAME": [ 365 { 366 "FEAT_DESC": "Robert Smith", 367 "LIB_FEAT_ID": 1, 368 "USAGE_TYPE": "PRIMARY", 369 "FEAT_DESC_VALUES": [ 370 { 371 "FEAT_DESC": "Robert Smith", 372 "LIB_FEAT_ID": 1, 373 "USED_FOR_CAND": "N", 374 "USED_FOR_SCORING": "Y", 375 "ENTITY_COUNT": 1, 376 "CANDIDATE_CAP_REACHED": "N", 377 "SCORING_CAP_REACHED": "N", 378 "SUPPRESSED": "N" 379 }, 380 { 381 "FEAT_DESC": "Bob J Smith", 382 "LIB_FEAT_ID": 38, 383 "USED_FOR_CAND": "N", 384 "USED_FOR_SCORING": "Y", 385 "ENTITY_COUNT": 1, 386 "CANDIDATE_CAP_REACHED": "N", 387 "SCORING_CAP_REACHED": "N", 388 "SUPPRESSED": "N" 389 }, 390 { 391 "FEAT_DESC": "Bob Smith", 392 "LIB_FEAT_ID": 20, 393 "USED_FOR_CAND": "N", 394 "USED_FOR_SCORING": "Y", 395 "ENTITY_COUNT": 1, 396 "CANDIDATE_CAP_REACHED": "N", 397 "SCORING_CAP_REACHED": "N", 398 "SUPPRESSED": "Y" 399 } 400 ] 401 } 402 ], 403 "NAMEADDR_KEY": [ 404 { 405 "FEAT_DESC": "PP|SM0|ADDR_KEY.EXPRESSION=1515|ATL||89111", 406 "LIB_FEAT_ID": 27, 407 "FEAT_DESC_VALUES": [ 408 { 409 "FEAT_DESC": "PP|SM0|ADDR_KEY.EXPRESSION=1515|ATL||89111", 410 "LIB_FEAT_ID": 27, 411 "USED_FOR_CAND": "Y", 412 "USED_FOR_SCORING": "N", 413 "ENTITY_COUNT": 1, 414 "CANDIDATE_CAP_REACHED": "N", 415 "SCORING_CAP_REACHED": "N", 416 "SUPPRESSED": "N" 417 } 418 ] 419 }, 420 { 421 "FEAT_DESC": "PP|SM0|ADDR_KEY.EXPRESSION=1515|ATL||LS FKS", 422 "LIB_FEAT_ID": 28, 423 "FEAT_DESC_VALUES": [ 424 { 425 "FEAT_DESC": "PP|SM0|ADDR_KEY.EXPRESSION=1515|ATL||LS FKS", 426 "LIB_FEAT_ID": 28, 427 "USED_FOR_CAND": "Y", 428 "USED_FOR_SCORING": "N", 429 "ENTITY_COUNT": 1, 430 "CANDIDATE_CAP_REACHED": "N", 431 "SCORING_CAP_REACHED": "N", 432 "SUPPRESSED": "N" 433 } 434 ] 435 }, 436 { 437 "FEAT_DESC": "RPRT|SM0|ADDR_KEY.EXPRESSION=123|MN||89132", 438 "LIB_FEAT_ID": 12, 439 "FEAT_DESC_VALUES": [ 440 { 441 "FEAT_DESC": "RPRT|SM0|ADDR_KEY.EXPRESSION=123|MN||89132", 442 "LIB_FEAT_ID": 12, 443 "USED_FOR_CAND": "Y", 444 "USED_FOR_SCORING": "N", 445 "ENTITY_COUNT": 1, 446 "CANDIDATE_CAP_REACHED": "N", 447 "SCORING_CAP_REACHED": "N", 448 "SUPPRESSED": "N" 449 } 450 ] 451 }, 452 { 453 "FEAT_DESC": "RPRT|SM0|ADDR_KEY.EXPRESSION=123|MN||LS FKS", 454 "LIB_FEAT_ID": 13, 455 "FEAT_DESC_VALUES": [ 456 { 457 "FEAT_DESC": "RPRT|SM0|ADDR_KEY.EXPRESSION=123|MN||LS FKS", 458 "LIB_FEAT_ID": 13, 459 "USED_FOR_CAND": "Y", 460 "USED_FOR_SCORING": "N", 461 "ENTITY_COUNT": 1, 462 "CANDIDATE_CAP_REACHED": "N", 463 "SCORING_CAP_REACHED": "N", 464 "SUPPRESSED": "N" 465 } 466 ] 467 }, 468 { 469 "FEAT_DESC": "RPRT|SM0|ADDR_KEY.EXPRESSION=1515|ATL||89111", 470 "LIB_FEAT_ID": 29, 471 "FEAT_DESC_VALUES": [ 472 { 473 "FEAT_DESC": "RPRT|SM0|ADDR_KEY.EXPRESSION=1515|ATL||89111", 474 "LIB_FEAT_ID": 29, 475 "USED_FOR_CAND": "Y", 476 "USED_FOR_SCORING": "N", 477 "ENTITY_COUNT": 1, 478 "CANDIDATE_CAP_REACHED": "N", 479 "SCORING_CAP_REACHED": "N", 480 "SUPPRESSED": "N" 481 } 482 ] 483 }, 484 { 485 "FEAT_DESC": "RPRT|SM0|ADDR_KEY.EXPRESSION=1515|ATL||LS FKS", 486 "LIB_FEAT_ID": 26, 487 "FEAT_DESC_VALUES": [ 488 { 489 "FEAT_DESC": "RPRT|SM0|ADDR_KEY.EXPRESSION=1515|ATL||LS FKS", 490 "LIB_FEAT_ID": 26, 491 "USED_FOR_CAND": "Y", 492 "USED_FOR_SCORING": "N", 493 "ENTITY_COUNT": 1, 494 "CANDIDATE_CAP_REACHED": "N", 495 "SCORING_CAP_REACHED": "N", 496 "SUPPRESSED": "N" 497 } 498 ] 499 } 500 ], 501 "NAMEDATE_KEY": [ 502 { 503 "FEAT_DESC": "J|PP|SM0|DOB.MMDD_HASH=1211", 504 "LIB_FEAT_ID": 43, 505 "FEAT_DESC_VALUES": [ 506 { 507 "FEAT_DESC": "J|PP|SM0|DOB.MMDD_HASH=1211", 508 "LIB_FEAT_ID": 43, 509 "USED_FOR_CAND": "Y", 510 "USED_FOR_SCORING": "N", 511 "ENTITY_COUNT": 1, 512 "CANDIDATE_CAP_REACHED": "N", 513 "SCORING_CAP_REACHED": "N", 514 "SUPPRESSED": "N" 515 } 516 ] 517 }, 518 { 519 "FEAT_DESC": "J|PP|SM0|DOB.MMYY_HASH=1278", 520 "LIB_FEAT_ID": 41, 521 "FEAT_DESC_VALUES": [ 522 { 523 "FEAT_DESC": "J|PP|SM0|DOB.MMYY_HASH=1278", 524 "LIB_FEAT_ID": 41, 525 "USED_FOR_CAND": "Y", 526 "USED_FOR_SCORING": "N", 527 "ENTITY_COUNT": 1, 528 "CANDIDATE_CAP_REACHED": "N", 529 "SCORING_CAP_REACHED": "N", 530 "SUPPRESSED": "N" 531 } 532 ] 533 }, 534 { 535 "FEAT_DESC": "J|PP|SM0|DOB=71211", 536 "LIB_FEAT_ID": 40, 537 "FEAT_DESC_VALUES": [ 538 { 539 "FEAT_DESC": "J|PP|SM0|DOB=71211", 540 "LIB_FEAT_ID": 40, 541 "USED_FOR_CAND": "Y", 542 "USED_FOR_SCORING": "N", 543 "ENTITY_COUNT": 1, 544 "CANDIDATE_CAP_REACHED": "N", 545 "SCORING_CAP_REACHED": "N", 546 "SUPPRESSED": "N" 547 } 548 ] 549 }, 550 { 551 "FEAT_DESC": "PP|SM0|DOB.MMDD_HASH=1211", 552 "LIB_FEAT_ID": 32, 553 "FEAT_DESC_VALUES": [ 554 { 555 "FEAT_DESC": "PP|SM0|DOB.MMDD_HASH=1211", 556 "LIB_FEAT_ID": 32, 557 "USED_FOR_CAND": "Y", 558 "USED_FOR_SCORING": "N", 559 "ENTITY_COUNT": 1, 560 "CANDIDATE_CAP_REACHED": "N", 561 "SCORING_CAP_REACHED": "N", 562 "SUPPRESSED": "N" 563 } 564 ] 565 }, 566 { 567 "FEAT_DESC": "PP|SM0|DOB.MMYY_HASH=1178", 568 "LIB_FEAT_ID": 33, 569 "FEAT_DESC_VALUES": [ 570 { 571 "FEAT_DESC": "PP|SM0|DOB.MMYY_HASH=1178", 572 "LIB_FEAT_ID": 33, 573 "USED_FOR_CAND": "Y", 574 "USED_FOR_SCORING": "N", 575 "ENTITY_COUNT": 1, 576 "CANDIDATE_CAP_REACHED": "N", 577 "SCORING_CAP_REACHED": "N", 578 "SUPPRESSED": "N" 579 } 580 ] 581 }, 582 { 583 "FEAT_DESC": "PP|SM0|DOB.MMYY_HASH=1278", 584 "LIB_FEAT_ID": 42, 585 "FEAT_DESC_VALUES": [ 586 { 587 "FEAT_DESC": "PP|SM0|DOB.MMYY_HASH=1278", 588 "LIB_FEAT_ID": 42, 589 "USED_FOR_CAND": "Y", 590 "USED_FOR_SCORING": "N", 591 "ENTITY_COUNT": 1, 592 "CANDIDATE_CAP_REACHED": "N", 593 "SCORING_CAP_REACHED": "N", 594 "SUPPRESSED": "N" 595 } 596 ] 597 }, 598 { 599 "FEAT_DESC": "PP|SM0|DOB=71211", 600 "LIB_FEAT_ID": 31, 601 "FEAT_DESC_VALUES": [ 602 { 603 "FEAT_DESC": "PP|SM0|DOB=71211", 604 "LIB_FEAT_ID": 31, 605 "USED_FOR_CAND": "Y", 606 "USED_FOR_SCORING": "N", 607 "ENTITY_COUNT": 1, 608 "CANDIDATE_CAP_REACHED": "N", 609 "SCORING_CAP_REACHED": "N", 610 "SUPPRESSED": "N" 611 } 612 ] 613 }, 614 { 615 "FEAT_DESC": "RPRT|SM0|DOB.MMDD_HASH=1211", 616 "LIB_FEAT_ID": 14, 617 "FEAT_DESC_VALUES": [ 618 { 619 "FEAT_DESC": "RPRT|SM0|DOB.MMDD_HASH=1211", 620 "LIB_FEAT_ID": 14, 621 "USED_FOR_CAND": "Y", 622 "USED_FOR_SCORING": "N", 623 "ENTITY_COUNT": 1, 624 "CANDIDATE_CAP_REACHED": "N", 625 "SCORING_CAP_REACHED": "N", 626 "SUPPRESSED": "N" 627 } 628 ] 629 }, 630 { 631 "FEAT_DESC": "RPRT|SM0|DOB.MMYY_HASH=1178", 632 "LIB_FEAT_ID": 30, 633 "FEAT_DESC_VALUES": [ 634 { 635 "FEAT_DESC": "RPRT|SM0|DOB.MMYY_HASH=1178", 636 "LIB_FEAT_ID": 30, 637 "USED_FOR_CAND": "Y", 638 "USED_FOR_SCORING": "N", 639 "ENTITY_COUNT": 1, 640 "CANDIDATE_CAP_REACHED": "N", 641 "SCORING_CAP_REACHED": "N", 642 "SUPPRESSED": "N" 643 } 644 ] 645 }, 646 { 647 "FEAT_DESC": "RPRT|SM0|DOB.MMYY_HASH=1278", 648 "LIB_FEAT_ID": 16, 649 "FEAT_DESC_VALUES": [ 650 { 651 "FEAT_DESC": "RPRT|SM0|DOB.MMYY_HASH=1278", 652 "LIB_FEAT_ID": 16, 653 "USED_FOR_CAND": "Y", 654 "USED_FOR_SCORING": "N", 655 "ENTITY_COUNT": 1, 656 "CANDIDATE_CAP_REACHED": "N", 657 "SCORING_CAP_REACHED": "N", 658 "SUPPRESSED": "N" 659 } 660 ] 661 }, 662 { 663 "FEAT_DESC": "RPRT|SM0|DOB=71211", 664 "LIB_FEAT_ID": 15, 665 "FEAT_DESC_VALUES": [ 666 { 667 "FEAT_DESC": "RPRT|SM0|DOB=71211", 668 "LIB_FEAT_ID": 15, 669 "USED_FOR_CAND": "Y", 670 "USED_FOR_SCORING": "N", 671 "ENTITY_COUNT": 1, 672 "CANDIDATE_CAP_REACHED": "N", 673 "SCORING_CAP_REACHED": "N", 674 "SUPPRESSED": "N" 675 } 676 ] 677 } 678 ], 679 "NAMEPHONE_KEY": [ 680 { 681 "FEAT_DESC": "PP|SM0|PHONE.PHONE_LAST_5=91300", 682 "LIB_FEAT_ID": 37, 683 "FEAT_DESC_VALUES": [ 684 { 685 "FEAT_DESC": "PP|SM0|PHONE.PHONE_LAST_5=91300", 686 "LIB_FEAT_ID": 37, 687 "USED_FOR_CAND": "Y", 688 "USED_FOR_SCORING": "N", 689 "ENTITY_COUNT": 1, 690 "CANDIDATE_CAP_REACHED": "N", 691 "SCORING_CAP_REACHED": "N", 692 "SUPPRESSED": "N" 693 } 694 ] 695 }, 696 { 697 "FEAT_DESC": "RPRT|SM0|PHONE.PHONE_LAST_5=91300", 698 "LIB_FEAT_ID": 19, 699 "FEAT_DESC_VALUES": [ 700 { 701 "FEAT_DESC": "RPRT|SM0|PHONE.PHONE_LAST_5=91300", 702 "LIB_FEAT_ID": 19, 703 "USED_FOR_CAND": "Y", 704 "USED_FOR_SCORING": "N", 705 "ENTITY_COUNT": 1, 706 "CANDIDATE_CAP_REACHED": "N", 707 "SCORING_CAP_REACHED": "N", 708 "SUPPRESSED": "N" 709 } 710 ] 711 } 712 ], 713 "NAMEREGION_KEY": [ 714 { 715 "FEAT_DESC": "PP|SM0|ADDRESS.CITY_STD=LS FKS", 716 "LIB_FEAT_ID": 36, 717 "FEAT_DESC_VALUES": [ 718 { 719 "FEAT_DESC": "PP|SM0|ADDRESS.CITY_STD=LS FKS", 720 "LIB_FEAT_ID": 36, 721 "USED_FOR_CAND": "Y", 722 "USED_FOR_SCORING": "N", 723 "ENTITY_COUNT": 1, 724 "CANDIDATE_CAP_REACHED": "N", 725 "SCORING_CAP_REACHED": "N", 726 "SUPPRESSED": "N" 727 } 728 ] 729 }, 730 { 731 "FEAT_DESC": "PP|SM0|POST=89111", 732 "LIB_FEAT_ID": 35, 733 "FEAT_DESC_VALUES": [ 734 { 735 "FEAT_DESC": "PP|SM0|POST=89111", 736 "LIB_FEAT_ID": 35, 737 "USED_FOR_CAND": "Y", 738 "USED_FOR_SCORING": "N", 739 "ENTITY_COUNT": 1, 740 "CANDIDATE_CAP_REACHED": "N", 741 "SCORING_CAP_REACHED": "N", 742 "SUPPRESSED": "N" 743 } 744 ] 745 }, 746 { 747 "FEAT_DESC": "RPRT|SM0|ADDRESS.CITY_STD=LS FKS", 748 "LIB_FEAT_ID": 18, 749 "FEAT_DESC_VALUES": [ 750 { 751 "FEAT_DESC": "RPRT|SM0|ADDRESS.CITY_STD=LS FKS", 752 "LIB_FEAT_ID": 18, 753 "USED_FOR_CAND": "Y", 754 "USED_FOR_SCORING": "N", 755 "ENTITY_COUNT": 1, 756 "CANDIDATE_CAP_REACHED": "N", 757 "SCORING_CAP_REACHED": "N", 758 "SUPPRESSED": "N" 759 } 760 ] 761 }, 762 { 763 "FEAT_DESC": "RPRT|SM0|POST=89111", 764 "LIB_FEAT_ID": 34, 765 "FEAT_DESC_VALUES": [ 766 { 767 "FEAT_DESC": "RPRT|SM0|POST=89111", 768 "LIB_FEAT_ID": 34, 769 "USED_FOR_CAND": "Y", 770 "USED_FOR_SCORING": "N", 771 "ENTITY_COUNT": 1, 772 "CANDIDATE_CAP_REACHED": "N", 773 "SCORING_CAP_REACHED": "N", 774 "SUPPRESSED": "N" 775 } 776 ] 777 }, 778 { 779 "FEAT_DESC": "RPRT|SM0|POST=89132", 780 "LIB_FEAT_ID": 17, 781 "FEAT_DESC_VALUES": [ 782 { 783 "FEAT_DESC": "RPRT|SM0|POST=89132", 784 "LIB_FEAT_ID": 17, 785 "USED_FOR_CAND": "Y", 786 "USED_FOR_SCORING": "N", 787 "ENTITY_COUNT": 1, 788 "CANDIDATE_CAP_REACHED": "N", 789 "SCORING_CAP_REACHED": "N", 790 "SUPPRESSED": "N" 791 } 792 ] 793 } 794 ], 795 "NAME_KEY": [ 796 { 797 "FEAT_DESC": "J|PP|SM0", 798 "LIB_FEAT_ID": 39, 799 "FEAT_DESC_VALUES": [ 800 { 801 "FEAT_DESC": "J|PP|SM0", 802 "LIB_FEAT_ID": 39, 803 "USED_FOR_CAND": "Y", 804 "USED_FOR_SCORING": "N", 805 "ENTITY_COUNT": 1, 806 "CANDIDATE_CAP_REACHED": "N", 807 "SCORING_CAP_REACHED": "N", 808 "SUPPRESSED": "N" 809 } 810 ] 811 }, 812 { 813 "FEAT_DESC": "PP|SM0", 814 "LIB_FEAT_ID": 23, 815 "FEAT_DESC_VALUES": [ 816 { 817 "FEAT_DESC": "PP|SM0", 818 "LIB_FEAT_ID": 23, 819 "USED_FOR_CAND": "Y", 820 "USED_FOR_SCORING": "N", 821 "ENTITY_COUNT": 1, 822 "CANDIDATE_CAP_REACHED": "N", 823 "SCORING_CAP_REACHED": "N", 824 "SUPPRESSED": "N" 825 } 826 ] 827 }, 828 { 829 "FEAT_DESC": "RPRT|SM0", 830 "LIB_FEAT_ID": 6, 831 "FEAT_DESC_VALUES": [ 832 { 833 "FEAT_DESC": "RPRT|SM0", 834 "LIB_FEAT_ID": 6, 835 "USED_FOR_CAND": "Y", 836 "USED_FOR_SCORING": "N", 837 "ENTITY_COUNT": 1, 838 "CANDIDATE_CAP_REACHED": "N", 839 "SCORING_CAP_REACHED": "N", 840 "SUPPRESSED": "N" 841 } 842 ] 843 } 844 ], 845 "PHONE": [ 846 { 847 "FEAT_DESC": "702-919-1300", 848 "LIB_FEAT_ID": 4, 849 "USAGE_TYPE": "HOME", 850 "FEAT_DESC_VALUES": [ 851 { 852 "FEAT_DESC": "702-919-1300", 853 "LIB_FEAT_ID": 4, 854 "USED_FOR_CAND": "N", 855 "USED_FOR_SCORING": "Y", 856 "ENTITY_COUNT": 1, 857 "CANDIDATE_CAP_REACHED": "N", 858 "SCORING_CAP_REACHED": "N", 859 "SUPPRESSED": "N" 860 } 861 ] 862 }, 863 { 864 "FEAT_DESC": "702-919-1300", 865 "LIB_FEAT_ID": 4, 866 "USAGE_TYPE": "MOBILE", 867 "FEAT_DESC_VALUES": [ 868 { 869 "FEAT_DESC": "702-919-1300", 870 "LIB_FEAT_ID": 4, 871 "USED_FOR_CAND": "N", 872 "USED_FOR_SCORING": "Y", 873 "ENTITY_COUNT": 1, 874 "CANDIDATE_CAP_REACHED": "N", 875 "SCORING_CAP_REACHED": "N", 876 "SUPPRESSED": "N" 877 } 878 ] 879 } 880 ], 881 "PHONE_KEY": [ 882 { 883 "FEAT_DESC": "7029191300", 884 "LIB_FEAT_ID": 9, 885 "FEAT_DESC_VALUES": [ 886 { 887 "FEAT_DESC": "7029191300", 888 "LIB_FEAT_ID": 9, 889 "USED_FOR_CAND": "Y", 890 "USED_FOR_SCORING": "N", 891 "ENTITY_COUNT": 1, 892 "CANDIDATE_CAP_REACHED": "N", 893 "SCORING_CAP_REACHED": "N", 894 "SUPPRESSED": "N" 895 } 896 ] 897 } 898 ], 899 "RECORD_TYPE": [ 900 { 901 "FEAT_DESC": "PERSON", 902 "LIB_FEAT_ID": 10, 903 "FEAT_DESC_VALUES": [ 904 { 905 "FEAT_DESC": "PERSON", 906 "LIB_FEAT_ID": 10, 907 "USED_FOR_CAND": "N", 908 "USED_FOR_SCORING": "Y", 909 "ENTITY_COUNT": 100, 910 "CANDIDATE_CAP_REACHED": "N", 911 "SCORING_CAP_REACHED": "N", 912 "SUPPRESSED": "N" 913 } 914 ] 915 } 916 ] 917 }, 918 "RECORD_SUMMARY": [ 919 { 920 "DATA_SOURCE": "CUSTOMERS", 921 "RECORD_COUNT": 3 922 } 923 ], 924 "RECORDS": [ 925 { 926 "DATA_SOURCE": "CUSTOMERS", 927 "RECORD_ID": "1001", 928 "INTERNAL_ID": 35, 929 "MATCH_KEY": "", 930 "MATCH_LEVEL_CODE": "", 931 "ERRULE_CODE": "", 932 "FIRST_SEEN_DT": "2024-10-25T17:39:00Z", 933 "LAST_SEEN_DT": "2024-10-25T17:39:00Z" 934 }, 935 { 936 "DATA_SOURCE": "CUSTOMERS", 937 "RECORD_ID": "1002", 938 "INTERNAL_ID": 36, 939 "MATCH_KEY": "+NAME+DOB+PHONE", 940 "MATCH_LEVEL_CODE": "RESOLVED", 941 "ERRULE_CODE": "CNAME_CFF_CEXCL", 942 "FIRST_SEEN_DT": "2024-10-25T17:39:00Z", 943 "LAST_SEEN_DT": "2024-10-25T17:39:00Z" 944 }, 945 { 946 "DATA_SOURCE": "CUSTOMERS", 947 "RECORD_ID": "1003", 948 "INTERNAL_ID": 37, 949 "MATCH_KEY": "+NAME+DOB+EMAIL", 950 "MATCH_LEVEL_CODE": "RESOLVED", 951 "ERRULE_CODE": "SF1_PNAME_CSTAB", 952 "FIRST_SEEN_DT": "2024-10-25T17:39:00Z", 953 "LAST_SEEN_DT": "2024-10-25T17:39:00Z" 954 } 955 ] 956 }, 957 "RELATED_ENTITIES": [] 958 } 959 ] 960}
- abstract why_records(data_source_code_1: str, record_id_1: str, data_source_code_2: str, record_id_2: str, flags: int = <SzEngineFlags.SZ_WHY_ENTITIES_DEFAULT_FLAGS: 96009152>) str [source]
The why_records determines if any two records can or cannot resolve together, or if they relate.
- Parameters:
data_source_code_1 (str) – Identifies the provenance of the data.
record_id_1 (str) – The unique identifier within the records of the same data source.
data_source_code_2 (str) – Identifies the provenance of the data.
record_id_2 (str) – The unique identifier within the records of the same data source.
flags (int, optional) – Flags used to control information returned. Defaults to SzEngineFlags.SZ_WHY_ENTITY_DEFAULT_FLAGS.
- Returns:
A JSON document.
- Return type:
str
Raises:
Example:
1from senzing import SzEngineFlags, SzError 2 3from . import sz_engine 4 5try: 6 DATA_SOURCE_CODE_1 = "CUSTOMERS" 7 DATA_SOURCE_CODE_2 = "CUSTOMERS" 8 flags = SzEngineFlags.SZ_WHY_ENTITIES_DEFAULT_FLAGS 9 RECORD_ID_1 = "1001" 10 RECORD_ID_2 = "1002" 11 result = sz_engine.why_records( 12 DATA_SOURCE_CODE_1, 13 RECORD_ID_1, 14 DATA_SOURCE_CODE_2, 15 RECORD_ID_2, 16 flags, 17 ) 18 print(f"\n{result}\n") 19except SzError as err: 20 print(f"\nERROR: {err}\n")
Output:
1// Output has been formatted and pruned for easier reading. 2 3{ 4 "WHY_RESULTS": [ 5 { 6 "INTERNAL_ID": 35, 7 "ENTITY_ID": 35, 8 "FOCUS_RECORDS": [ 9 { 10 "DATA_SOURCE": "CUSTOMERS", 11 "RECORD_ID": "1001" 12 } 13 ], 14 "INTERNAL_ID_2": 36, 15 "ENTITY_ID_2": 35, 16 "FOCUS_RECORDS_2": [ 17 { 18 "DATA_SOURCE": "CUSTOMERS", 19 "RECORD_ID": "1002" 20 } 21 ], 22 "MATCH_INFO": { 23 "WHY_KEY": "+NAME+DOB+PHONE", 24 "WHY_ERRULE_CODE": "CNAME_CFF_CEXCL", 25 "MATCH_LEVEL_CODE": "RESOLVED", 26 "CANDIDATE_KEYS": { 27 "NAMEDATE_KEY": [ 28 { 29 "FEAT_ID": 14, 30 "FEAT_DESC": "RPRT|SM0|DOB.MMDD_HASH=1211" 31 }, 32 { 33 "FEAT_ID": 15, 34 "FEAT_DESC": "RPRT|SM0|DOB=71211" 35 } 36 ], 37 "NAMEPHONE_KEY": [ 38 { 39 "FEAT_ID": 19, 40 "FEAT_DESC": "RPRT|SM0|PHONE.PHONE_LAST_5=91300" 41 } 42 ], 43 "NAMEREGION_KEY": [ 44 { 45 "FEAT_ID": 18, 46 "FEAT_DESC": "RPRT|SM0|ADDRESS.CITY_STD=LS FKS" 47 } 48 ], 49 "NAME_KEY": [ 50 { 51 "FEAT_ID": 6, 52 "FEAT_DESC": "RPRT|SM0" 53 } 54 ], 55 "PHONE_KEY": [ 56 { 57 "FEAT_ID": 9, 58 "FEAT_DESC": "7029191300" 59 } 60 ] 61 }, 62 "DISCLOSED_RELATIONS": {}, 63 "FEATURE_SCORES": { 64 "ADDRESS": [ 65 { 66 "INBOUND_FEAT_ID": 3, 67 "INBOUND_FEAT_DESC": "123 Main Street, Las Vegas NV 89132", 68 "INBOUND_FEAT_USAGE_TYPE": "MAILING", 69 "CANDIDATE_FEAT_ID": 22, 70 "CANDIDATE_FEAT_DESC": "1515 Adela Lane Las Vegas NV 89111", 71 "CANDIDATE_FEAT_USAGE_TYPE": "HOME", 72 "SCORE": 42, 73 "ADDITIONAL_SCORES": { 74 "FULL_SCORE": 42 75 }, 76 "SCORE_BUCKET": "NO_CHANCE", 77 "SCORE_BEHAVIOR": "FF" 78 } 79 ], 80 "DOB": [ 81 { 82 "INBOUND_FEAT_ID": 2, 83 "INBOUND_FEAT_DESC": "12/11/1978", 84 "INBOUND_FEAT_USAGE_TYPE": "", 85 "CANDIDATE_FEAT_ID": 21, 86 "CANDIDATE_FEAT_DESC": "11/12/1978", 87 "CANDIDATE_FEAT_USAGE_TYPE": "", 88 "SCORE": 95, 89 "ADDITIONAL_SCORES": { 90 "FULL_SCORE": 95 91 }, 92 "SCORE_BUCKET": "CLOSE", 93 "SCORE_BEHAVIOR": "FMES" 94 } 95 ], 96 "NAME": [ 97 { 98 "INBOUND_FEAT_ID": 1, 99 "INBOUND_FEAT_DESC": "Robert Smith", 100 "INBOUND_FEAT_USAGE_TYPE": "PRIMARY", 101 "CANDIDATE_FEAT_ID": 20, 102 "CANDIDATE_FEAT_DESC": "Bob Smith", 103 "CANDIDATE_FEAT_USAGE_TYPE": "PRIMARY", 104 "SCORE": 97, 105 "ADDITIONAL_SCORES": { 106 "GENERATION_MATCH": -1, 107 "GNR_FN": 97, 108 "GNR_GN": 95, 109 "GNR_ON": -1, 110 "GNR_SN": 100 111 }, 112 "SCORE_BUCKET": "CLOSE", 113 "SCORE_BEHAVIOR": "NAME" 114 } 115 ], 116 "PHONE": [ 117 { 118 "INBOUND_FEAT_ID": 4, 119 "INBOUND_FEAT_DESC": "702-919-1300", 120 "INBOUND_FEAT_USAGE_TYPE": "HOME", 121 "CANDIDATE_FEAT_ID": 4, 122 "CANDIDATE_FEAT_DESC": "702-919-1300", 123 "CANDIDATE_FEAT_USAGE_TYPE": "MOBILE", 124 "SCORE": 100, 125 "ADDITIONAL_SCORES": { 126 "FULL_SCORE": 100 127 }, 128 "SCORE_BUCKET": "SAME", 129 "SCORE_BEHAVIOR": "FF" 130 } 131 ], 132 "RECORD_TYPE": [ 133 { 134 "INBOUND_FEAT_ID": 10, 135 "INBOUND_FEAT_DESC": "PERSON", 136 "INBOUND_FEAT_USAGE_TYPE": "", 137 "CANDIDATE_FEAT_ID": 10, 138 "CANDIDATE_FEAT_DESC": "PERSON", 139 "CANDIDATE_FEAT_USAGE_TYPE": "", 140 "SCORE": 100, 141 "ADDITIONAL_SCORES": { 142 "FULL_SCORE": 100 143 }, 144 "SCORE_BUCKET": "SAME", 145 "SCORE_BEHAVIOR": "FVME" 146 } 147 ] 148 } 149 } 150 } 151 ], 152 "ENTITIES": [ 153 { 154 "RESOLVED_ENTITY": { 155 "ENTITY_ID": 35, 156 "ENTITY_NAME": "Robert Smith", 157 "FEATURES": { 158 "ADDRESS": [ 159 { 160 "FEAT_DESC": "1515 Adela Lane Las Vegas NV 89111", 161 "LIB_FEAT_ID": 22, 162 "USAGE_TYPE": "HOME", 163 "FEAT_DESC_VALUES": [ 164 { 165 "FEAT_DESC": "1515 Adela Lane Las Vegas NV 89111", 166 "LIB_FEAT_ID": 22, 167 "USED_FOR_CAND": "N", 168 "USED_FOR_SCORING": "Y", 169 "ENTITY_COUNT": 1, 170 "CANDIDATE_CAP_REACHED": "N", 171 "SCORING_CAP_REACHED": "N", 172 "SUPPRESSED": "N" 173 } 174 ] 175 }, 176 { 177 "FEAT_DESC": "123 Main Street, Las Vegas NV 89132", 178 "LIB_FEAT_ID": 3, 179 "USAGE_TYPE": "MAILING", 180 "FEAT_DESC_VALUES": [ 181 { 182 "FEAT_DESC": "123 Main Street, Las Vegas NV 89132", 183 "LIB_FEAT_ID": 3, 184 "USED_FOR_CAND": "N", 185 "USED_FOR_SCORING": "Y", 186 "ENTITY_COUNT": 1, 187 "CANDIDATE_CAP_REACHED": "N", 188 "SCORING_CAP_REACHED": "N", 189 "SUPPRESSED": "N" 190 } 191 ] 192 } 193 ], 194 "ADDR_KEY": [ 195 { 196 "FEAT_DESC": "123|MN||89132", 197 "LIB_FEAT_ID": 8, 198 "FEAT_DESC_VALUES": [ 199 { 200 "FEAT_DESC": "123|MN||89132", 201 "LIB_FEAT_ID": 8, 202 "USED_FOR_CAND": "Y", 203 "USED_FOR_SCORING": "N", 204 "ENTITY_COUNT": 1, 205 "CANDIDATE_CAP_REACHED": "N", 206 "SCORING_CAP_REACHED": "N", 207 "SUPPRESSED": "N" 208 } 209 ] 210 }, 211 { 212 "FEAT_DESC": "123|MN||LS FKS", 213 "LIB_FEAT_ID": 7, 214 "FEAT_DESC_VALUES": [ 215 { 216 "FEAT_DESC": "123|MN||LS FKS", 217 "LIB_FEAT_ID": 7, 218 "USED_FOR_CAND": "Y", 219 "USED_FOR_SCORING": "N", 220 "ENTITY_COUNT": 1, 221 "CANDIDATE_CAP_REACHED": "N", 222 "SCORING_CAP_REACHED": "N", 223 "SUPPRESSED": "N" 224 } 225 ] 226 }, 227 { 228 "FEAT_DESC": "1515|ATL||89111", 229 "LIB_FEAT_ID": 24, 230 "FEAT_DESC_VALUES": [ 231 { 232 "FEAT_DESC": "1515|ATL||89111", 233 "LIB_FEAT_ID": 24, 234 "USED_FOR_CAND": "Y", 235 "USED_FOR_SCORING": "N", 236 "ENTITY_COUNT": 1, 237 "CANDIDATE_CAP_REACHED": "N", 238 "SCORING_CAP_REACHED": "N", 239 "SUPPRESSED": "N" 240 } 241 ] 242 }, 243 { 244 "FEAT_DESC": "1515|ATL||LS FKS", 245 "LIB_FEAT_ID": 25, 246 "FEAT_DESC_VALUES": [ 247 { 248 "FEAT_DESC": "1515|ATL||LS FKS", 249 "LIB_FEAT_ID": 25, 250 "USED_FOR_CAND": "Y", 251 "USED_FOR_SCORING": "N", 252 "ENTITY_COUNT": 1, 253 "CANDIDATE_CAP_REACHED": "N", 254 "SCORING_CAP_REACHED": "N", 255 "SUPPRESSED": "N" 256 } 257 ] 258 } 259 ], 260 "DOB": [ 261 { 262 "FEAT_DESC": "12/11/1978", 263 "LIB_FEAT_ID": 2, 264 "FEAT_DESC_VALUES": [ 265 { 266 "FEAT_DESC": "12/11/1978", 267 "LIB_FEAT_ID": 2, 268 "USED_FOR_CAND": "Y", 269 "USED_FOR_SCORING": "Y", 270 "ENTITY_COUNT": 1, 271 "CANDIDATE_CAP_REACHED": "N", 272 "SCORING_CAP_REACHED": "N", 273 "SUPPRESSED": "N" 274 }, 275 { 276 "FEAT_DESC": "11/12/1978", 277 "LIB_FEAT_ID": 21, 278 "USED_FOR_CAND": "Y", 279 "USED_FOR_SCORING": "Y", 280 "ENTITY_COUNT": 1, 281 "CANDIDATE_CAP_REACHED": "N", 282 "SCORING_CAP_REACHED": "N", 283 "SUPPRESSED": "N" 284 } 285 ] 286 } 287 ], 288 "EMAIL": [ 289 { 290 "FEAT_DESC": "bsmith@work.com", 291 "LIB_FEAT_ID": 5, 292 "FEAT_DESC_VALUES": [ 293 { 294 "FEAT_DESC": "bsmith@work.com", 295 "LIB_FEAT_ID": 5, 296 "USED_FOR_CAND": "N", 297 "USED_FOR_SCORING": "Y", 298 "ENTITY_COUNT": 1, 299 "CANDIDATE_CAP_REACHED": "N", 300 "SCORING_CAP_REACHED": "N", 301 "SUPPRESSED": "N" 302 } 303 ] 304 } 305 ], 306 "EMAIL_KEY": [ 307 { 308 "FEAT_DESC": "bsmith@WORK.COM", 309 "LIB_FEAT_ID": 11, 310 "FEAT_DESC_VALUES": [ 311 { 312 "FEAT_DESC": "bsmith@WORK.COM", 313 "LIB_FEAT_ID": 11, 314 "USED_FOR_CAND": "Y", 315 "USED_FOR_SCORING": "N", 316 "ENTITY_COUNT": 1, 317 "CANDIDATE_CAP_REACHED": "N", 318 "SCORING_CAP_REACHED": "N", 319 "SUPPRESSED": "N" 320 } 321 ] 322 } 323 ], 324 "NAME": [ 325 { 326 "FEAT_DESC": "Robert Smith", 327 "LIB_FEAT_ID": 1, 328 "USAGE_TYPE": "PRIMARY", 329 "FEAT_DESC_VALUES": [ 330 { 331 "FEAT_DESC": "Robert Smith", 332 "LIB_FEAT_ID": 1, 333 "USED_FOR_CAND": "N", 334 "USED_FOR_SCORING": "Y", 335 "ENTITY_COUNT": 1, 336 "CANDIDATE_CAP_REACHED": "N", 337 "SCORING_CAP_REACHED": "N", 338 "SUPPRESSED": "N" 339 }, 340 { 341 "FEAT_DESC": "Bob J Smith", 342 "LIB_FEAT_ID": 38, 343 "USED_FOR_CAND": "N", 344 "USED_FOR_SCORING": "Y", 345 "ENTITY_COUNT": 1, 346 "CANDIDATE_CAP_REACHED": "N", 347 "SCORING_CAP_REACHED": "N", 348 "SUPPRESSED": "N" 349 }, 350 { 351 "FEAT_DESC": "Bob Smith", 352 "LIB_FEAT_ID": 20, 353 "USED_FOR_CAND": "N", 354 "USED_FOR_SCORING": "Y", 355 "ENTITY_COUNT": 1, 356 "CANDIDATE_CAP_REACHED": "N", 357 "SCORING_CAP_REACHED": "N", 358 "SUPPRESSED": "Y" 359 } 360 ] 361 } 362 ], 363 "NAMEADDR_KEY": [ 364 { 365 "FEAT_DESC": "PP|SM0|ADDR_KEY.EXPRESSION=1515|ATL||89111", 366 "LIB_FEAT_ID": 27, 367 "FEAT_DESC_VALUES": [ 368 { 369 "FEAT_DESC": "PP|SM0|ADDR_KEY.EXPRESSION=1515|ATL||89111", 370 "LIB_FEAT_ID": 27, 371 "USED_FOR_CAND": "Y", 372 "USED_FOR_SCORING": "N", 373 "ENTITY_COUNT": 1, 374 "CANDIDATE_CAP_REACHED": "N", 375 "SCORING_CAP_REACHED": "N", 376 "SUPPRESSED": "N" 377 } 378 ] 379 }, 380 { 381 "FEAT_DESC": "PP|SM0|ADDR_KEY.EXPRESSION=1515|ATL||LS FKS", 382 "LIB_FEAT_ID": 28, 383 "FEAT_DESC_VALUES": [ 384 { 385 "FEAT_DESC": "PP|SM0|ADDR_KEY.EXPRESSION=1515|ATL||LS FKS", 386 "LIB_FEAT_ID": 28, 387 "USED_FOR_CAND": "Y", 388 "USED_FOR_SCORING": "N", 389 "ENTITY_COUNT": 1, 390 "CANDIDATE_CAP_REACHED": "N", 391 "SCORING_CAP_REACHED": "N", 392 "SUPPRESSED": "N" 393 } 394 ] 395 }, 396 { 397 "FEAT_DESC": "RPRT|SM0|ADDR_KEY.EXPRESSION=123|MN||89132", 398 "LIB_FEAT_ID": 12, 399 "FEAT_DESC_VALUES": [ 400 { 401 "FEAT_DESC": "RPRT|SM0|ADDR_KEY.EXPRESSION=123|MN||89132", 402 "LIB_FEAT_ID": 12, 403 "USED_FOR_CAND": "Y", 404 "USED_FOR_SCORING": "N", 405 "ENTITY_COUNT": 1, 406 "CANDIDATE_CAP_REACHED": "N", 407 "SCORING_CAP_REACHED": "N", 408 "SUPPRESSED": "N" 409 } 410 ] 411 }, 412 { 413 "FEAT_DESC": "RPRT|SM0|ADDR_KEY.EXPRESSION=123|MN||LS FKS", 414 "LIB_FEAT_ID": 13, 415 "FEAT_DESC_VALUES": [ 416 { 417 "FEAT_DESC": "RPRT|SM0|ADDR_KEY.EXPRESSION=123|MN||LS FKS", 418 "LIB_FEAT_ID": 13, 419 "USED_FOR_CAND": "Y", 420 "USED_FOR_SCORING": "N", 421 "ENTITY_COUNT": 1, 422 "CANDIDATE_CAP_REACHED": "N", 423 "SCORING_CAP_REACHED": "N", 424 "SUPPRESSED": "N" 425 } 426 ] 427 }, 428 { 429 "FEAT_DESC": "RPRT|SM0|ADDR_KEY.EXPRESSION=1515|ATL||89111", 430 "LIB_FEAT_ID": 29, 431 "FEAT_DESC_VALUES": [ 432 { 433 "FEAT_DESC": "RPRT|SM0|ADDR_KEY.EXPRESSION=1515|ATL||89111", 434 "LIB_FEAT_ID": 29, 435 "USED_FOR_CAND": "Y", 436 "USED_FOR_SCORING": "N", 437 "ENTITY_COUNT": 1, 438 "CANDIDATE_CAP_REACHED": "N", 439 "SCORING_CAP_REACHED": "N", 440 "SUPPRESSED": "N" 441 } 442 ] 443 }, 444 { 445 "FEAT_DESC": "RPRT|SM0|ADDR_KEY.EXPRESSION=1515|ATL||LS FKS", 446 "LIB_FEAT_ID": 26, 447 "FEAT_DESC_VALUES": [ 448 { 449 "FEAT_DESC": "RPRT|SM0|ADDR_KEY.EXPRESSION=1515|ATL||LS FKS", 450 "LIB_FEAT_ID": 26, 451 "USED_FOR_CAND": "Y", 452 "USED_FOR_SCORING": "N", 453 "ENTITY_COUNT": 1, 454 "CANDIDATE_CAP_REACHED": "N", 455 "SCORING_CAP_REACHED": "N", 456 "SUPPRESSED": "N" 457 } 458 ] 459 } 460 ], 461 "NAMEDATE_KEY": [ 462 { 463 "FEAT_DESC": "J|PP|SM0|DOB.MMDD_HASH=1211", 464 "LIB_FEAT_ID": 43, 465 "FEAT_DESC_VALUES": [ 466 { 467 "FEAT_DESC": "J|PP|SM0|DOB.MMDD_HASH=1211", 468 "LIB_FEAT_ID": 43, 469 "USED_FOR_CAND": "Y", 470 "USED_FOR_SCORING": "N", 471 "ENTITY_COUNT": 1, 472 "CANDIDATE_CAP_REACHED": "N", 473 "SCORING_CAP_REACHED": "N", 474 "SUPPRESSED": "N" 475 } 476 ] 477 }, 478 { 479 "FEAT_DESC": "J|PP|SM0|DOB.MMYY_HASH=1278", 480 "LIB_FEAT_ID": 41, 481 "FEAT_DESC_VALUES": [ 482 { 483 "FEAT_DESC": "J|PP|SM0|DOB.MMYY_HASH=1278", 484 "LIB_FEAT_ID": 41, 485 "USED_FOR_CAND": "Y", 486 "USED_FOR_SCORING": "N", 487 "ENTITY_COUNT": 1, 488 "CANDIDATE_CAP_REACHED": "N", 489 "SCORING_CAP_REACHED": "N", 490 "SUPPRESSED": "N" 491 } 492 ] 493 }, 494 { 495 "FEAT_DESC": "J|PP|SM0|DOB=71211", 496 "LIB_FEAT_ID": 40, 497 "FEAT_DESC_VALUES": [ 498 { 499 "FEAT_DESC": "J|PP|SM0|DOB=71211", 500 "LIB_FEAT_ID": 40, 501 "USED_FOR_CAND": "Y", 502 "USED_FOR_SCORING": "N", 503 "ENTITY_COUNT": 1, 504 "CANDIDATE_CAP_REACHED": "N", 505 "SCORING_CAP_REACHED": "N", 506 "SUPPRESSED": "N" 507 } 508 ] 509 }, 510 { 511 "FEAT_DESC": "PP|SM0|DOB.MMDD_HASH=1211", 512 "LIB_FEAT_ID": 32, 513 "FEAT_DESC_VALUES": [ 514 { 515 "FEAT_DESC": "PP|SM0|DOB.MMDD_HASH=1211", 516 "LIB_FEAT_ID": 32, 517 "USED_FOR_CAND": "Y", 518 "USED_FOR_SCORING": "N", 519 "ENTITY_COUNT": 1, 520 "CANDIDATE_CAP_REACHED": "N", 521 "SCORING_CAP_REACHED": "N", 522 "SUPPRESSED": "N" 523 } 524 ] 525 }, 526 { 527 "FEAT_DESC": "PP|SM0|DOB.MMYY_HASH=1178", 528 "LIB_FEAT_ID": 33, 529 "FEAT_DESC_VALUES": [ 530 { 531 "FEAT_DESC": "PP|SM0|DOB.MMYY_HASH=1178", 532 "LIB_FEAT_ID": 33, 533 "USED_FOR_CAND": "Y", 534 "USED_FOR_SCORING": "N", 535 "ENTITY_COUNT": 1, 536 "CANDIDATE_CAP_REACHED": "N", 537 "SCORING_CAP_REACHED": "N", 538 "SUPPRESSED": "N" 539 } 540 ] 541 }, 542 { 543 "FEAT_DESC": "PP|SM0|DOB.MMYY_HASH=1278", 544 "LIB_FEAT_ID": 42, 545 "FEAT_DESC_VALUES": [ 546 { 547 "FEAT_DESC": "PP|SM0|DOB.MMYY_HASH=1278", 548 "LIB_FEAT_ID": 42, 549 "USED_FOR_CAND": "Y", 550 "USED_FOR_SCORING": "N", 551 "ENTITY_COUNT": 1, 552 "CANDIDATE_CAP_REACHED": "N", 553 "SCORING_CAP_REACHED": "N", 554 "SUPPRESSED": "N" 555 } 556 ] 557 }, 558 { 559 "FEAT_DESC": "PP|SM0|DOB=71211", 560 "LIB_FEAT_ID": 31, 561 "FEAT_DESC_VALUES": [ 562 { 563 "FEAT_DESC": "PP|SM0|DOB=71211", 564 "LIB_FEAT_ID": 31, 565 "USED_FOR_CAND": "Y", 566 "USED_FOR_SCORING": "N", 567 "ENTITY_COUNT": 1, 568 "CANDIDATE_CAP_REACHED": "N", 569 "SCORING_CAP_REACHED": "N", 570 "SUPPRESSED": "N" 571 } 572 ] 573 }, 574 { 575 "FEAT_DESC": "RPRT|SM0|DOB.MMDD_HASH=1211", 576 "LIB_FEAT_ID": 14, 577 "FEAT_DESC_VALUES": [ 578 { 579 "FEAT_DESC": "RPRT|SM0|DOB.MMDD_HASH=1211", 580 "LIB_FEAT_ID": 14, 581 "USED_FOR_CAND": "Y", 582 "USED_FOR_SCORING": "N", 583 "ENTITY_COUNT": 1, 584 "CANDIDATE_CAP_REACHED": "N", 585 "SCORING_CAP_REACHED": "N", 586 "SUPPRESSED": "N" 587 } 588 ] 589 }, 590 { 591 "FEAT_DESC": "RPRT|SM0|DOB.MMYY_HASH=1178", 592 "LIB_FEAT_ID": 30, 593 "FEAT_DESC_VALUES": [ 594 { 595 "FEAT_DESC": "RPRT|SM0|DOB.MMYY_HASH=1178", 596 "LIB_FEAT_ID": 30, 597 "USED_FOR_CAND": "Y", 598 "USED_FOR_SCORING": "N", 599 "ENTITY_COUNT": 1, 600 "CANDIDATE_CAP_REACHED": "N", 601 "SCORING_CAP_REACHED": "N", 602 "SUPPRESSED": "N" 603 } 604 ] 605 }, 606 { 607 "FEAT_DESC": "RPRT|SM0|DOB.MMYY_HASH=1278", 608 "LIB_FEAT_ID": 16, 609 "FEAT_DESC_VALUES": [ 610 { 611 "FEAT_DESC": "RPRT|SM0|DOB.MMYY_HASH=1278", 612 "LIB_FEAT_ID": 16, 613 "USED_FOR_CAND": "Y", 614 "USED_FOR_SCORING": "N", 615 "ENTITY_COUNT": 1, 616 "CANDIDATE_CAP_REACHED": "N", 617 "SCORING_CAP_REACHED": "N", 618 "SUPPRESSED": "N" 619 } 620 ] 621 }, 622 { 623 "FEAT_DESC": "RPRT|SM0|DOB=71211", 624 "LIB_FEAT_ID": 15, 625 "FEAT_DESC_VALUES": [ 626 { 627 "FEAT_DESC": "RPRT|SM0|DOB=71211", 628 "LIB_FEAT_ID": 15, 629 "USED_FOR_CAND": "Y", 630 "USED_FOR_SCORING": "N", 631 "ENTITY_COUNT": 1, 632 "CANDIDATE_CAP_REACHED": "N", 633 "SCORING_CAP_REACHED": "N", 634 "SUPPRESSED": "N" 635 } 636 ] 637 } 638 ], 639 "NAMEPHONE_KEY": [ 640 { 641 "FEAT_DESC": "PP|SM0|PHONE.PHONE_LAST_5=91300", 642 "LIB_FEAT_ID": 37, 643 "FEAT_DESC_VALUES": [ 644 { 645 "FEAT_DESC": "PP|SM0|PHONE.PHONE_LAST_5=91300", 646 "LIB_FEAT_ID": 37, 647 "USED_FOR_CAND": "Y", 648 "USED_FOR_SCORING": "N", 649 "ENTITY_COUNT": 1, 650 "CANDIDATE_CAP_REACHED": "N", 651 "SCORING_CAP_REACHED": "N", 652 "SUPPRESSED": "N" 653 } 654 ] 655 }, 656 { 657 "FEAT_DESC": "RPRT|SM0|PHONE.PHONE_LAST_5=91300", 658 "LIB_FEAT_ID": 19, 659 "FEAT_DESC_VALUES": [ 660 { 661 "FEAT_DESC": "RPRT|SM0|PHONE.PHONE_LAST_5=91300", 662 "LIB_FEAT_ID": 19, 663 "USED_FOR_CAND": "Y", 664 "USED_FOR_SCORING": "N", 665 "ENTITY_COUNT": 1, 666 "CANDIDATE_CAP_REACHED": "N", 667 "SCORING_CAP_REACHED": "N", 668 "SUPPRESSED": "N" 669 } 670 ] 671 } 672 ], 673 "NAMEREGION_KEY": [ 674 { 675 "FEAT_DESC": "PP|SM0|ADDRESS.CITY_STD=LS FKS", 676 "LIB_FEAT_ID": 36, 677 "FEAT_DESC_VALUES": [ 678 { 679 "FEAT_DESC": "PP|SM0|ADDRESS.CITY_STD=LS FKS", 680 "LIB_FEAT_ID": 36, 681 "USED_FOR_CAND": "Y", 682 "USED_FOR_SCORING": "N", 683 "ENTITY_COUNT": 1, 684 "CANDIDATE_CAP_REACHED": "N", 685 "SCORING_CAP_REACHED": "N", 686 "SUPPRESSED": "N" 687 } 688 ] 689 }, 690 { 691 "FEAT_DESC": "PP|SM0|POST=89111", 692 "LIB_FEAT_ID": 35, 693 "FEAT_DESC_VALUES": [ 694 { 695 "FEAT_DESC": "PP|SM0|POST=89111", 696 "LIB_FEAT_ID": 35, 697 "USED_FOR_CAND": "Y", 698 "USED_FOR_SCORING": "N", 699 "ENTITY_COUNT": 1, 700 "CANDIDATE_CAP_REACHED": "N", 701 "SCORING_CAP_REACHED": "N", 702 "SUPPRESSED": "N" 703 } 704 ] 705 }, 706 { 707 "FEAT_DESC": "RPRT|SM0|ADDRESS.CITY_STD=LS FKS", 708 "LIB_FEAT_ID": 18, 709 "FEAT_DESC_VALUES": [ 710 { 711 "FEAT_DESC": "RPRT|SM0|ADDRESS.CITY_STD=LS FKS", 712 "LIB_FEAT_ID": 18, 713 "USED_FOR_CAND": "Y", 714 "USED_FOR_SCORING": "N", 715 "ENTITY_COUNT": 1, 716 "CANDIDATE_CAP_REACHED": "N", 717 "SCORING_CAP_REACHED": "N", 718 "SUPPRESSED": "N" 719 } 720 ] 721 }, 722 { 723 "FEAT_DESC": "RPRT|SM0|POST=89111", 724 "LIB_FEAT_ID": 34, 725 "FEAT_DESC_VALUES": [ 726 { 727 "FEAT_DESC": "RPRT|SM0|POST=89111", 728 "LIB_FEAT_ID": 34, 729 "USED_FOR_CAND": "Y", 730 "USED_FOR_SCORING": "N", 731 "ENTITY_COUNT": 1, 732 "CANDIDATE_CAP_REACHED": "N", 733 "SCORING_CAP_REACHED": "N", 734 "SUPPRESSED": "N" 735 } 736 ] 737 }, 738 { 739 "FEAT_DESC": "RPRT|SM0|POST=89132", 740 "LIB_FEAT_ID": 17, 741 "FEAT_DESC_VALUES": [ 742 { 743 "FEAT_DESC": "RPRT|SM0|POST=89132", 744 "LIB_FEAT_ID": 17, 745 "USED_FOR_CAND": "Y", 746 "USED_FOR_SCORING": "N", 747 "ENTITY_COUNT": 1, 748 "CANDIDATE_CAP_REACHED": "N", 749 "SCORING_CAP_REACHED": "N", 750 "SUPPRESSED": "N" 751 } 752 ] 753 } 754 ], 755 "NAME_KEY": [ 756 { 757 "FEAT_DESC": "J|PP|SM0", 758 "LIB_FEAT_ID": 39, 759 "FEAT_DESC_VALUES": [ 760 { 761 "FEAT_DESC": "J|PP|SM0", 762 "LIB_FEAT_ID": 39, 763 "USED_FOR_CAND": "Y", 764 "USED_FOR_SCORING": "N", 765 "ENTITY_COUNT": 1, 766 "CANDIDATE_CAP_REACHED": "N", 767 "SCORING_CAP_REACHED": "N", 768 "SUPPRESSED": "N" 769 } 770 ] 771 }, 772 { 773 "FEAT_DESC": "PP|SM0", 774 "LIB_FEAT_ID": 23, 775 "FEAT_DESC_VALUES": [ 776 { 777 "FEAT_DESC": "PP|SM0", 778 "LIB_FEAT_ID": 23, 779 "USED_FOR_CAND": "Y", 780 "USED_FOR_SCORING": "N", 781 "ENTITY_COUNT": 1, 782 "CANDIDATE_CAP_REACHED": "N", 783 "SCORING_CAP_REACHED": "N", 784 "SUPPRESSED": "N" 785 } 786 ] 787 }, 788 { 789 "FEAT_DESC": "RPRT|SM0", 790 "LIB_FEAT_ID": 6, 791 "FEAT_DESC_VALUES": [ 792 { 793 "FEAT_DESC": "RPRT|SM0", 794 "LIB_FEAT_ID": 6, 795 "USED_FOR_CAND": "Y", 796 "USED_FOR_SCORING": "N", 797 "ENTITY_COUNT": 1, 798 "CANDIDATE_CAP_REACHED": "N", 799 "SCORING_CAP_REACHED": "N", 800 "SUPPRESSED": "N" 801 } 802 ] 803 } 804 ], 805 "PHONE": [ 806 { 807 "FEAT_DESC": "702-919-1300", 808 "LIB_FEAT_ID": 4, 809 "USAGE_TYPE": "HOME", 810 "FEAT_DESC_VALUES": [ 811 { 812 "FEAT_DESC": "702-919-1300", 813 "LIB_FEAT_ID": 4, 814 "USED_FOR_CAND": "N", 815 "USED_FOR_SCORING": "Y", 816 "ENTITY_COUNT": 1, 817 "CANDIDATE_CAP_REACHED": "N", 818 "SCORING_CAP_REACHED": "N", 819 "SUPPRESSED": "N" 820 } 821 ] 822 }, 823 { 824 "FEAT_DESC": "702-919-1300", 825 "LIB_FEAT_ID": 4, 826 "USAGE_TYPE": "MOBILE", 827 "FEAT_DESC_VALUES": [ 828 { 829 "FEAT_DESC": "702-919-1300", 830 "LIB_FEAT_ID": 4, 831 "USED_FOR_CAND": "N", 832 "USED_FOR_SCORING": "Y", 833 "ENTITY_COUNT": 1, 834 "CANDIDATE_CAP_REACHED": "N", 835 "SCORING_CAP_REACHED": "N", 836 "SUPPRESSED": "N" 837 } 838 ] 839 } 840 ], 841 "PHONE_KEY": [ 842 { 843 "FEAT_DESC": "7029191300", 844 "LIB_FEAT_ID": 9, 845 "FEAT_DESC_VALUES": [ 846 { 847 "FEAT_DESC": "7029191300", 848 "LIB_FEAT_ID": 9, 849 "USED_FOR_CAND": "Y", 850 "USED_FOR_SCORING": "N", 851 "ENTITY_COUNT": 1, 852 "CANDIDATE_CAP_REACHED": "N", 853 "SCORING_CAP_REACHED": "N", 854 "SUPPRESSED": "N" 855 } 856 ] 857 } 858 ], 859 "RECORD_TYPE": [ 860 { 861 "FEAT_DESC": "PERSON", 862 "LIB_FEAT_ID": 10, 863 "FEAT_DESC_VALUES": [ 864 { 865 "FEAT_DESC": "PERSON", 866 "LIB_FEAT_ID": 10, 867 "USED_FOR_CAND": "N", 868 "USED_FOR_SCORING": "Y", 869 "ENTITY_COUNT": 100, 870 "CANDIDATE_CAP_REACHED": "N", 871 "SCORING_CAP_REACHED": "N", 872 "SUPPRESSED": "N" 873 } 874 ] 875 } 876 ] 877 }, 878 "RECORD_SUMMARY": [ 879 { 880 "DATA_SOURCE": "CUSTOMERS", 881 "RECORD_COUNT": 3 882 } 883 ], 884 "RECORDS": [ 885 { 886 "DATA_SOURCE": "CUSTOMERS", 887 "RECORD_ID": "1001", 888 "INTERNAL_ID": 35, 889 "MATCH_KEY": "", 890 "MATCH_LEVEL_CODE": "", 891 "ERRULE_CODE": "", 892 "FIRST_SEEN_DT": "2024-10-25T17:39:00Z", 893 "LAST_SEEN_DT": "2024-10-25T17:39:00Z" 894 }, 895 { 896 "DATA_SOURCE": "CUSTOMERS", 897 "RECORD_ID": "1002", 898 "INTERNAL_ID": 36, 899 "MATCH_KEY": "+NAME+DOB+PHONE", 900 "MATCH_LEVEL_CODE": "RESOLVED", 901 "ERRULE_CODE": "CNAME_CFF_CEXCL", 902 "FIRST_SEEN_DT": "2024-10-25T17:39:00Z", 903 "LAST_SEEN_DT": "2024-10-25T17:39:00Z" 904 }, 905 { 906 "DATA_SOURCE": "CUSTOMERS", 907 "RECORD_ID": "1003", 908 "INTERNAL_ID": 37, 909 "MATCH_KEY": "+NAME+DOB+EMAIL", 910 "MATCH_LEVEL_CODE": "RESOLVED", 911 "ERRULE_CODE": "SF1_PNAME_CSTAB", 912 "FIRST_SEEN_DT": "2024-10-25T17:39:00Z", 913 "LAST_SEEN_DT": "2024-10-25T17:39:00Z" 914 } 915 ] 916 }, 917 "RELATED_ENTITIES": [] 918 } 919 ] 920}
szproduct
szproduct.py is the abstract class for all implementations of SzProduct.
- class senzing.szproduct.SzProduct[source]
Bases:
ABC
SzProduct is the definition of the Senzing Python SDK that is implemented by packages such as szproduct.py.
- abstract get_license() str [source]
The get_license method retrieves information about the currently used license.
- Returns:
A JSON document containing Senzing license metadata.
- Return type:
str
Example:
1from senzing import SzError 2 3from . import sz_product 4 5try: 6 result = sz_product.get_license() 7 print(f"\n{result}\n") 8except SzError as err: 9 print(f"\nERROR: {err}\n")
Output:
1// Output has been formatted for easier reading. 2 3{ 4 "customer": "Senzing Public Test License", 5 "contract": "EVALUATION - support@senzing.com", 6 "issueDate": "2024-10-15", 7 "licenseType": "EVAL (Solely for non-productive use)", 8 "licenseLevel": "STANDARD", 9 "billing": "MONTHLY", 10 "expireDate": "2025-10-16", 11 "recordLimit": 500 12}
- abstract get_version() str [source]
The get_version method returns the version of Senzing.
- Returns:
A JSON document containing metadata about the Senzing Engine version being used.
- Return type:
str
Example:
1from senzing import SzError 2 3from . import sz_product 4 5try: 6 result = sz_product.get_version() 7 print(f"\n{result}\n") 8except SzError as err: 9 print(f"\nERROR: {err}\n")
Output:
1// Output has been formatted for easier reading. 2 3{ 4 "PRODUCT_NAME": "Senzing SDK", 5 "VERSION": "4.0.0", 6 "BUILD_VERSION": "4.0.0.24289", 7 "BUILD_DATE": "2024-10-15", 8 "BUILD_NUMBER": "2024_10_15__14_21", 9 "COMPATIBILITY_VERSION": { 10 "CONFIG_VERSION": "11" 11 }, 12 "SCHEMA_VERSION": { 13 "ENGINE_SCHEMA_VERSION": "4.0", 14 "MINIMUM_REQUIRED_SCHEMA_VERSION": "4.0", 15 "MAXIMUM_REQUIRED_SCHEMA_VERSION": "4.99" 16 } 17}
szengineflags
szengineflags.py has constants that are used when calling Senzing functions.
- class senzing.szengineflags.SzEngineFlags(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]
Bases:
IntFlag
Engine Flags
- SZ_ENTITY_BRIEF_DEFAULT_FLAGS = 1082304
- SZ_ENTITY_CORE_FLAGS = 63488
- SZ_ENTITY_DEFAULT_FLAGS = 3734464
- SZ_ENTITY_INCLUDE_ALL_FEATURES = 1024
- SZ_ENTITY_INCLUDE_ALL_RELATIONS = 960
- SZ_ENTITY_INCLUDE_DISCLOSED_RELATIONS = 512
- SZ_ENTITY_INCLUDE_ENTITY_NAME = 4096
- SZ_ENTITY_INCLUDE_FEATURE_STATS = 16777216
- SZ_ENTITY_INCLUDE_INTERNAL_FEATURES = 8388608
- SZ_ENTITY_INCLUDE_NAME_ONLY_RELATIONS = 256
- SZ_ENTITY_INCLUDE_POSSIBLY_RELATED_RELATIONS = 128
- SZ_ENTITY_INCLUDE_POSSIBLY_SAME_RELATIONS = 64
- SZ_ENTITY_INCLUDE_RECORD_DATA = 16384
- SZ_ENTITY_INCLUDE_RECORD_FEATURE_DETAILS = 34359738368
- SZ_ENTITY_INCLUDE_RECORD_FEATURE_IDS = 262144
- SZ_ENTITY_INCLUDE_RECORD_FEATURE_STATS = 68719476736
- SZ_ENTITY_INCLUDE_RECORD_JSON_DATA = 65536
- SZ_ENTITY_INCLUDE_RECORD_MATCHING_INFO = 32768
- SZ_ENTITY_INCLUDE_RECORD_SUMMARY = 8192
- SZ_ENTITY_INCLUDE_RECORD_TYPES = 268435456
- SZ_ENTITY_INCLUDE_RECORD_UNMAPPED_DATA = 2147483648
- SZ_ENTITY_INCLUDE_RELATED_ENTITY_NAME = 524288
- SZ_ENTITY_INCLUDE_RELATED_MATCHING_INFO = 1048576
- SZ_ENTITY_INCLUDE_RELATED_RECORD_DATA = 4194304
- SZ_ENTITY_INCLUDE_RELATED_RECORD_SUMMARY = 2097152
- SZ_ENTITY_INCLUDE_RELATED_RECORD_TYPES = 536870912
- SZ_ENTITY_INCLUDE_REPRESENTATIVE_FEATURES = 2048
- SZ_EXPORT_DEFAULT_FLAGS = 3734497
- SZ_EXPORT_INCLUDE_ALL_ENTITIES = 33
- SZ_EXPORT_INCLUDE_ALL_HAVING_RELATIONSHIPS = 30
- SZ_EXPORT_INCLUDE_DISCLOSED = 16
- SZ_EXPORT_INCLUDE_MULTI_RECORD_ENTITIES = 1
- SZ_EXPORT_INCLUDE_NAME_ONLY = 8
- SZ_EXPORT_INCLUDE_POSSIBLY_RELATED = 4
- SZ_EXPORT_INCLUDE_POSSIBLY_SAME = 2
- SZ_EXPORT_INCLUDE_SINGLE_RECORD_ENTITIES = 32
- SZ_FIND_NETWORK_DEFAULT_FLAGS = 8589946880
- SZ_FIND_NETWORK_INCLUDE_MATCHING_INFO = 8589934592
- SZ_FIND_PATH_DEFAULT_FLAGS = 1073754112
- SZ_FIND_PATH_INCLUDE_MATCHING_INFO = 1073741824
- SZ_FIND_PATH_STRICT_AVOID = 33554432
- SZ_HOW_ENTITY_DEFAULT_FLAGS = 67108864
- SZ_INCLUDE_FEATURE_SCORES = 67108864
- SZ_INCLUDE_MATCH_KEY_DETAILS = 17179869184
- SZ_RECORD_DEFAULT_FLAGS = 65536
- SZ_SEARCH_BY_ATTRIBUTES_ALL = 67123215
- SZ_SEARCH_BY_ATTRIBUTES_DEFAULT_FLAGS = 67123215
- SZ_SEARCH_BY_ATTRIBUTES_MINIMAL_ALL = 15
- SZ_SEARCH_BY_ATTRIBUTES_MINIMAL_STRONG = 3
- SZ_SEARCH_BY_ATTRIBUTES_STRONG = 67123203
- SZ_SEARCH_INCLUDE_ALL_CANDIDATES = 4294967296
- SZ_SEARCH_INCLUDE_ALL_ENTITIES = 15
- SZ_SEARCH_INCLUDE_NAME_ONLY = 8
- SZ_SEARCH_INCLUDE_POSSIBLY_RELATED = 4
- SZ_SEARCH_INCLUDE_POSSIBLY_SAME = 2
- SZ_SEARCH_INCLUDE_REQUEST = 137438953472
- SZ_SEARCH_INCLUDE_REQUEST_DETAILS = 274877906944
- SZ_SEARCH_INCLUDE_RESOLVED = 1
- SZ_SEARCH_INCLUDE_STATS = 134217728
- SZ_VIRTUAL_ENTITY_DEFAULT_FLAGS = 63488
- SZ_WHY_ENTITIES_DEFAULT_FLAGS = 96009152
- SZ_WHY_RECORDS_DEFAULT_FLAGS = 96009152
- SZ_WHY_RECORD_IN_ENTITY_DEFAULT_FLAGS = 96009152
- SZ_WITH_INFO = 4611686018427387904
- classmethod flags_by_name() Dict[str, int] [source]
The flags_by_name method returns the name of all engine flags and corresponding integer values.
Args:
- Returns:
Dictionary keyed on the flag names.
- Return type:
dict[str, int]
Raises:
Examples:
1#! /usr/bin/env python3 2 3from senzing import SzEngineFlags 4 5RESULT = SzEngineFlags.flags_by_name() 6print(f"\n{RESULT}\n")
Output:
1// Output has been formatted for easier reading. 2 3{ 4 "SZ_ENTITY_BRIEF_DEFAULT_FLAGS": 1082304, 5 "SZ_ENTITY_CORE_FLAGS": 63488, 6 "SZ_ENTITY_DEFAULT_FLAGS": 3734464, 7 "SZ_ENTITY_INCLUDE_ALL_FEATURES": 1024, 8 "SZ_ENTITY_INCLUDE_ALL_RELATIONS": 960, 9 "SZ_ENTITY_INCLUDE_DISCLOSED_RELATIONS": 512, 10 "SZ_ENTITY_INCLUDE_ENTITY_NAME": 4096, 11 "SZ_ENTITY_INCLUDE_FEATURE_STATS": 16777216, 12 "SZ_ENTITY_INCLUDE_INTERNAL_FEATURES": 8388608, 13 "SZ_ENTITY_INCLUDE_NAME_ONLY_RELATIONS": 256, 14 "SZ_ENTITY_INCLUDE_POSSIBLY_RELATED_RELATIONS": 128, 15 "SZ_ENTITY_INCLUDE_POSSIBLY_SAME_RELATIONS": 64, 16 "SZ_ENTITY_INCLUDE_RECORD_DATA": 16384, 17 "SZ_ENTITY_INCLUDE_RECORD_FEATURE_DETAILS": 34359738368, 18 "SZ_ENTITY_INCLUDE_RECORD_FEATURE_IDS": 262144, 19 "SZ_ENTITY_INCLUDE_RECORD_FEATURE_STATS": 68719476736, 20 "SZ_ENTITY_INCLUDE_RECORD_JSON_DATA": 65536, 21 "SZ_ENTITY_INCLUDE_RECORD_MATCHING_INFO": 32768, 22 "SZ_ENTITY_INCLUDE_RECORD_SUMMARY": 8192, 23 "SZ_ENTITY_INCLUDE_RECORD_TYPES": 268435456, 24 "SZ_ENTITY_INCLUDE_RECORD_UNMAPPED_DATA": 2147483648, 25 "SZ_ENTITY_INCLUDE_RELATED_ENTITY_NAME": 524288, 26 "SZ_ENTITY_INCLUDE_RELATED_MATCHING_INFO": 1048576, 27 "SZ_ENTITY_INCLUDE_RELATED_RECORD_DATA": 4194304, 28 "SZ_ENTITY_INCLUDE_RELATED_RECORD_SUMMARY": 2097152, 29 "SZ_ENTITY_INCLUDE_RELATED_RECORD_TYPES": 536870912, 30 "SZ_ENTITY_INCLUDE_REPRESENTATIVE_FEATURES": 2048, 31 "SZ_EXPORT_DEFAULT_FLAGS": 3734497, 32 "SZ_EXPORT_INCLUDE_ALL_ENTITIES": 33, 33 "SZ_EXPORT_INCLUDE_ALL_HAVING_RELATIONSHIPS": 30, 34 "SZ_EXPORT_INCLUDE_DISCLOSED": 16, 35 "SZ_EXPORT_INCLUDE_MULTI_RECORD_ENTITIES": 1, 36 "SZ_EXPORT_INCLUDE_NAME_ONLY": 8, 37 "SZ_EXPORT_INCLUDE_POSSIBLY_RELATED": 4, 38 "SZ_EXPORT_INCLUDE_POSSIBLY_SAME": 2, 39 "SZ_EXPORT_INCLUDE_SINGLE_RECORD_ENTITIES": 32, 40 "SZ_FIND_NETWORK_DEFAULT_FLAGS": 8589946880, 41 "SZ_FIND_NETWORK_INCLUDE_MATCHING_INFO": 8589934592, 42 "SZ_FIND_PATH_DEFAULT_FLAGS": 1073754112, 43 "SZ_FIND_PATH_INCLUDE_MATCHING_INFO": 1073741824, 44 "SZ_FIND_PATH_STRICT_AVOID": 33554432, 45 "SZ_INCLUDE_FEATURE_SCORES": 67108864, 46 "SZ_INCLUDE_MATCH_KEY_DETAILS": 17179869184, 47 "SZ_SEARCH_BY_ATTRIBUTES_ALL": 67123215, 48 "SZ_SEARCH_BY_ATTRIBUTES_MINIMAL_STRONG": 3, 49 "SZ_SEARCH_BY_ATTRIBUTES_STRONG": 67123203, 50 "SZ_SEARCH_INCLUDE_ALL_ENTITIES": 15, 51 "SZ_SEARCH_INCLUDE_STATS": 134217728, 52 "SZ_WHY_ENTITIES_DEFAULT_FLAGS": 96009152, 53 "SZ_WITH_INFO": 4611686018427387904 54}
- classmethod flags_by_value() Dict[int, str] [source]
The flags_by_value method returns the value of all engine flags and corresponding flag names.
Args:
- Returns:
Dictionary keyed on the flag integer values.
- Return type:
dict[int, str]
Raises:
Examples:
1#! /usr/bin/env python3 2 3from senzing import SzEngineFlags 4 5RESULT = SzEngineFlags.flags_by_value() 6print(f"\n{RESULT}\n")
Output:
1// Output has been formatted for easier reading. 2 3{ 4 1: "SZ_EXPORT_INCLUDE_MULTI_RECORD_ENTITIES", 5 2: "SZ_EXPORT_INCLUDE_POSSIBLY_SAME", 6 3: "SZ_SEARCH_BY_ATTRIBUTES_MINIMAL_STRONG", 7 4: "SZ_EXPORT_INCLUDE_POSSIBLY_RELATED", 8 8: "SZ_EXPORT_INCLUDE_NAME_ONLY", 9 15: "SZ_SEARCH_INCLUDE_ALL_ENTITIES", 10 16: "SZ_EXPORT_INCLUDE_DISCLOSED", 11 30: "SZ_EXPORT_INCLUDE_ALL_HAVING_RELATIONSHIPS", 12 32: "SZ_EXPORT_INCLUDE_SINGLE_RECORD_ENTITIES", 13 33: "SZ_EXPORT_INCLUDE_ALL_ENTITIES", 14 64: "SZ_ENTITY_INCLUDE_POSSIBLY_SAME_RELATIONS", 15 128: "SZ_ENTITY_INCLUDE_POSSIBLY_RELATED_RELATIONS", 16 256: "SZ_ENTITY_INCLUDE_NAME_ONLY_RELATIONS", 17 512: "SZ_ENTITY_INCLUDE_DISCLOSED_RELATIONS", 18 960: "SZ_ENTITY_INCLUDE_ALL_RELATIONS", 19 1024: "SZ_ENTITY_INCLUDE_ALL_FEATURES", 20 2048: "SZ_ENTITY_INCLUDE_REPRESENTATIVE_FEATURES", 21 4096: "SZ_ENTITY_INCLUDE_ENTITY_NAME", 22 8192: "SZ_ENTITY_INCLUDE_RECORD_SUMMARY", 23 16384: "SZ_ENTITY_INCLUDE_RECORD_DATA", 24 32768: "SZ_ENTITY_INCLUDE_RECORD_MATCHING_INFO", 25 63488: "SZ_ENTITY_CORE_FLAGS", 26 65536: "SZ_ENTITY_INCLUDE_RECORD_JSON_DATA", 27 262144: "SZ_ENTITY_INCLUDE_RECORD_FEATURE_IDS", 28 524288: "SZ_ENTITY_INCLUDE_RELATED_ENTITY_NAME", 29 1048576: "SZ_ENTITY_INCLUDE_RELATED_MATCHING_INFO", 30 1082304: "SZ_ENTITY_BRIEF_DEFAULT_FLAGS", 31 2097152: "SZ_ENTITY_INCLUDE_RELATED_RECORD_SUMMARY", 32 3734464: "SZ_ENTITY_DEFAULT_FLAGS", 33 3734497: "SZ_EXPORT_DEFAULT_FLAGS", 34 4194304: "SZ_ENTITY_INCLUDE_RELATED_RECORD_DATA", 35 8388608: "SZ_ENTITY_INCLUDE_INTERNAL_FEATURES", 36 16777216: "SZ_ENTITY_INCLUDE_FEATURE_STATS", 37 33554432: "SZ_FIND_PATH_STRICT_AVOID", 38 67108864: "SZ_INCLUDE_FEATURE_SCORES", 39 67123203: "SZ_SEARCH_BY_ATTRIBUTES_STRONG", 40 67123215: "SZ_SEARCH_BY_ATTRIBUTES_ALL", 41 96009152: "SZ_WHY_ENTITIES_DEFAULT_FLAGS", 42 134217728: "SZ_SEARCH_INCLUDE_STATS", 43 268435456: "SZ_ENTITY_INCLUDE_RECORD_TYPES", 44 536870912: "SZ_ENTITY_INCLUDE_RELATED_RECORD_TYPES", 45 1073741824: "SZ_FIND_PATH_INCLUDE_MATCHING_INFO", 46 1073754112: "SZ_FIND_PATH_DEFAULT_FLAGS", 47 2147483648: "SZ_ENTITY_INCLUDE_RECORD_UNMAPPED_DATA", 48 8589934592: "SZ_FIND_NETWORK_INCLUDE_MATCHING_INFO", 49 8589946880: "SZ_FIND_NETWORK_DEFAULT_FLAGS", 50 17179869184: "SZ_INCLUDE_MATCH_KEY_DETAILS", 51 34359738368: "SZ_ENTITY_INCLUDE_RECORD_FEATURE_DETAILS", 52 68719476736: "SZ_ENTITY_INCLUDE_RECORD_FEATURE_STATS", 53 4611686018427387904: "SZ_WITH_INFO" 54}
szerror
DO NOT EDIT. This code is generated. Generated by: sz-sdk-errors/bin/generate_python.py Generated for: sz-sdk-python/src/senzing/szerror.py Generated date: 2025-02-13T18:58:27.185575+00:00
- exception senzing.szerror.SzBadInputError[source]
Bases:
SzError
The user-supplied input contained an error.
- exception senzing.szerror.SzConfigurationError[source]
Bases:
SzGeneralError
The program can provide a remedy and continue.
- exception senzing.szerror.SzDatabaseConnectionLostError[source]
Bases:
SzRetryableError
Database connection lost
- exception senzing.szerror.SzDatabaseError[source]
Bases:
SzUnrecoverableError
Database exception
- exception senzing.szerror.SzDatabaseTransientError[source]
Bases:
SzRetryableError
Database connection lost
- exception senzing.szerror.SzError[source]
Bases:
Exception
Base exception for Sz related python code.
- exception senzing.szerror.SzGeneralError[source]
Bases:
SzError
Errors that are not bad input, retryable, or unrecoverable.
- exception senzing.szerror.SzLicenseError[source]
Bases:
SzUnrecoverableError
License exception
- exception senzing.szerror.SzNotFoundError[source]
Bases:
SzBadInputError
Not found
- exception senzing.szerror.SzNotInitializedError[source]
Bases:
SzUnrecoverableError
Not initialized
- exception senzing.szerror.SzReplaceConflictError[source]
Bases:
SzGeneralError
The program can provide a remedy and continue.
- exception senzing.szerror.SzRetryTimeoutExceededError[source]
Bases:
SzRetryableError
Retry timeout exceeded time limit
- exception senzing.szerror.SzRetryableError[source]
Bases:
SzError
The program can provide a remedy and continue.
- exception senzing.szerror.SzSdkError[source]
Bases:
SzGeneralError
An error discovered by the SDK, not the underlying C binary.
- exception senzing.szerror.SzUnhandledError[source]
Bases:
SzUnrecoverableError
Could not handle exception
- exception senzing.szerror.SzUnknownDataSourceError[source]
Bases:
SzBadInputError
Unknown DataSource
constants
szconstants.py has convenience constant declarations.