inoutlists is a python package to parse and normalize different sources of lists (OFAC, EU, UN, etc) to a common dictionary interface.
Project description
inoutlists
inoutlists is a python package to parse and normalize different sources of lists (OFAC, EU, UN, etc) to a common dictionary interface.
Once the lists are parsed and normalized, the user can dump the information to other formats such as JSON, CSV or a Pandas data frame for further research or transfer to other systems.
Moreover, the package can be extended to parse any kind of source creating specific Loaders classes or to dump the information to any kind of formats creating specific Dumpers classes.
Basic Usage
inoutlists main entry points are the functions load and dump:
inoutlists.load(data, loader=Loader, description="")
Parameters:
- data: The data to parse. The type of the data parameter depends on the Loader chosen. It could be a url, a file, a string, etc.
- loader: Loader class. The loader class must inherit from the class Loader. It defines the logic of the transformation from the data to the common dictionary interface implementing the methods defined in the class Loader, specially the function load.
- description: An string. For informative purposes.
Returns: Dictionary. The list in the dictionary common interface.
inoutlists.dump(data, dumper=Dumper, *args, **kwargs)
Parameters:
- data: An python dictionary based on the common interface.
- dumper. Dumper class. The dumper class must inherit from the class Dumper. It defines the logic of the transformation from the dictionary common interface to the target format implementing the method dump.
- *args, **kwargs. Positional arguments and keyword arguments passed to the dumper class.
Returns: Any. It depends on the Dumper class.
>>> from inoutlists import load, dump, LoaderOFACXML, DumperPandas, DumperJSON
>>> from pprint import pprint
>>> OFAC_SDN_URL = "https://sanctionslistservice.ofac.treas.gov/api/PublicationPreview/exports/SDN.XML"
>>> OFAC_SDN = load(OFAC_SDN_URL, loader=LoaderOFACXML, description="OFAC SDN list")
>>> pprint(OFAC_SDN.keys())
dict_keys(['meta', 'list_entries'])
>>> pprint(OFAC_SDN["meta"])
{'description': 'OFAC SDN list',
'list_date': '2024-05-24',
'source': 'https://sanctionslistservice.ofac.treas.gov/api/PublicationPreview/exports/SDN.XML'}
>>> pprint(f'# list entries: {len(OFAC_SDN["list_entries"])}')
'# list entries: 14978'
>>> pprint(f'{OFAC_SDN["list_entries"][0]}')
("{'id': '36', 'type': 'O', 'names': [{'whole_name': 'AEROCARIBBEAN AIRLINES', "
"'strong': True, 'first_name': '', 'last_name': ''}, {'whole_name': "
"'AERO-CARIBBEAN', 'strong': True, 'first_name': '', 'last_name': ''}], "
"'addresses': [{'address': 'HAVANA CUBA', 'street': '', 'city': 'HAVANA', "
"'country_subdivision': '', 'country_ori': 'CUBA', 'country_ISO_code': 'CU', "
"'country_desc': 'CUBA'}], 'programs': ['CUBA']}")
>>> df = dump(OFAC_SDN, dumper=DumperPandas)
>>> pprint(df.head(1).T)
0
id 10000
type I
names_whole_name JHON EIDELBER CANO CORREA
names_strong True
names_first_name JHON EIDELBER
names_last_name CANO CORREA
addresses_address CARRERA 28 NO. 7-35 CALI COLOMBIA
addresses_street CARRERA 28 NO. 7-35
addresses_city CALI
addresses_country_subdivision
addresses_country_ori COLOMBIA
addresses_country_ISO_code CO
addresses_country_desc COLOMBIA
nationalities_country_ori COLOMBIA
nationalities_country_ISO_code CO
nationalities_country_desc COLOMBIA
dates_of_birth_date_of_birth 1963-12-13
dates_of_birth_year 1963
dates_of_birth_month 12
dates_of_birth_day 13
places_of_birth_place_of_birth EL AGUILA, VALLE, COLOMBIA
places_of_birth_street
places_of_birth_city
places_of_birth_country_subdivision
places_of_birth_country_ori COLOMBIA
places_of_birth_country_ISO_code CO
places_of_birth_country_desc COLOMBIA
identifications_type CEDULA NO.
identifications_id 16217170
identifications_country_ori COLOMBIA
identifications_country_ISO_code CO
identifications_country_desc COLOMBIA
programs SDNT
>>> OFAC_SDN_JSON = dump(OFAC_SDN, dumper=DumperJSON)
>>> pprint(OFAC_SDN_JSON[0:200])
('{"meta": {"description": "OFAC SDN list", "source": '
'"https://sanctionslistservice.ofac.treas.gov/api/PublicationPreview/exports/SDN.XML", '
'"list_date": "2024-05-24"}, "list_entries": [{"id": "36", "typ')
Installing inoutlists
$ python -m pip install inoutlists
Current loaders distributed with inoutlists
-
Loader. Generic loader class. All the loader classes must inherit and implement the methods defined in this class.
-
LoaderXML. Generic class for loading lists based on XML. The data parameter of the load function can be the url of the xml file, a OS path to the file or a string.
-
LoaderOFACXML. Class for parsing lists distributed by OFAC based on the SDN schema. It inherits from class LoaderXML.
-
LoaderEUXML. Class for parsing lists distributed by EU on EU sanctions list source. It inherits from class LoaderXML.
-
LoaderUNXML. Class for parsing lists distributed by UN on UN sanctions list source. It inherits from class LoaderXML.
Current dumpers distributed with inoutlists
-
Dumper. Generic dumper class. All the dumper classes must inherit and implement the methods defined in this class.
-
DumperJSON. Dumper class for dumping the parsed list as a dictionary common interface to JSON. The parameter output of the dump method can be a string or path representing a file. If that parameter is not provided then returns a data as a string. It accepts all the keyword arguments of the functions dump and dumps of the JSON package.
-
DumperPandas: Dumper class for dumping the parsed list as a dictionary common interface to a Pandas data frame. Because the dictionary common interface there one to many relations (several names, several addresses, etc) the returned data frame represent the cartesian product of those relations.
-
DumperCSV: Dumper class for dumping the parsed list as a dictionary common interface to csv. The data is dumped following the same rules of the DumperPandas class. The parameter output of the dump method can be a string or path representing a file. If that parameter is not provided then returns a the data as a string. It accepts all the keyword arguments of the function method to_csv of an Pandas data frame.
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