Dandraka.Zoro 2.3.3

Zoro - The masked avenger

Zoro is a data masking and anonymization utility. It fetches data from a database, a JSON or a CSV file, and either creates a JSON file, a CSV file or runs SQL statements with the masked data.

It can be used as a command line program or as a dotnet standard 2.1 library. To run the command line program, simply copy the tools dir from the Nuget package. Windows and Linux versions, both 64-bit, are available.

Usage:

As a command line utility:

[Win] zoro.exe path_to_config_file E.g. zoro.exe c:\temp\mask.xml

[Linux] ./zoro path_to_config_file E.g. ./zoro /home/jim/data/mask.xml

As a library

// === either read config from file ===
var configFromFile = Zoro.Processor.MaskConfig.ReadConfig("c:\temp\mask.xml");
// === or create in code ===
var config = new Zoro.Processor.MaskConfig()
{
    ConnectionString = "Server=myDbServer;Database=myDb;User Id=myUser;Password=myPassword;",
    ConnectionType = "System.Data.SqlClient",
    DataSource = DataSource.Database,
    DataDestination = DataDestination.CsvFile,
    SqlSelect = "SELECT * FROM testdata",
    OutputFile = Path.Combine(utility.TestInstanceDir, "maskeddata_db_02.csv")
};
config.FieldMasks.Add(new FieldMask() { FieldName = "name", MaskType = MaskType.Similar });
config.FieldMasks.Add(new FieldMask() { FieldName = "iban", MaskType = MaskType.Asterisk });
config.FieldMasks.Add(new FieldMask() { FieldName = "country", MaskType = MaskType.None });
config.FieldMasks.Add(new FieldMask() { FieldName = "address", MaskType = MaskType.List });
config.FieldMasks[3].ListOfPossibleReplacements.Add(new Replacement() 
    { Selector = "country=CH", ReplacementList="Bahnhofstrasse 41,Hauptstrasse 8,Berggasse 4" });
config.FieldMasks[3].ListOfPossibleReplacements.Add(new Replacement() 
    { Selector = "country=GR", ReplacementList="Evangelistrias 22,Thessalias 47,Eparhiaki Odos Lefkogion 6" });
// fallback when nothing matches; MUST be the last one
config.FieldMasks[3].ListOfPossibleReplacements.Add(new Replacement() 
    { Selector = "", ReplacementList="Main Street 9,Fifth Avenue 104,Ranch rd. 1" });         

// === with your config, call the masking method ===
var masker = new Zoro.Processor.DataMasking(config);
masker.Mask();

Documentation:

Masking types reference

Please see the anonymization and masking types reference doc.

Developer documentation

Please see the generated docs.

Notes on usage

• Field names are case-insensitive for CSV files & DB queries, but case-sensitive for JSON files.
• If using a database to write data (DataDestination=Database), all names of parameters in SqlCommand (@field for SqlServer or $field elsewhere) must have a corresponding FieldMask, even if the MaskType is None. Also, currently connection types of System.Data.SqlClient and System.Data.OleDb are supported, but if anything else (e.g. MySql, Oracle) is needed please open an issue; adding more is trivial.
• If input is a JSON file (DataSource=JsonFile) and one or more FieldMasks are type List (FieldMask.MaskType=List), one 1 Replacement entry is allowed, which has to have an empty Selector (Selector="").
• If input is a JSON file (DataSource=JsonFile), FieldMasks that perform a database query (FieldMask.MaskType=Query) are not allowed. This is planned to be supported in a later version.

Examples:

Sample config file for CSV source and destination

<?xml version="1.0"?>
<MaskConfig xmlns:xsd="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <FieldMasks>
    <FieldMask>
      <FieldName>Name</FieldName>
      <MaskType>Similar</MaskType>
    </FieldMask>
    <FieldMask>
      <FieldName>BankAccount</FieldName>
      <MaskType>Asterisk</MaskType>
    </FieldMask>
  </FieldMasks>
  <InputFile>C:\temp\Zorotests\data.csv</InputFile>
  <OutputFile>C:\temp\Zorotests\maskeddata.csv</OutputFile>
  <Delimiter>;</Delimiter>
</MaskConfig>

The above config file can process for example the following CSV:

ID;Name;BankAccount
1;KM-elektronik;CH9880808007645910141
2;Cretaneshop;GR4701102050000020547061026
3;VELOPLUSs.r.l;IT36K0890150920000000550061
4;natuurhulpcentrum.be;BE79235040722733

and the result will be something like the following:

ID;Name;BankAccount
1;RJ-egitrjitiz;*********************
2;Lqebuhuzfic;***************************
3;NKWNQWWBg.g.q;***************************
4;botaahjazlvojknub.qi;****************

Sample config file for DB source and destination using lists and queries

<?xml version="1.0"?>
<MaskConfig xmlns:xsd="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <FieldMasks>
    <FieldMask>
      <FieldName>ID</FieldName>
      <MaskType>None</MaskType>
    </FieldMask>   
    <FieldMask>
      <FieldName>CustomerFullname</FieldName>
      <MaskType>None</MaskType>
    </FieldMask>   
    <FieldMask>
      <FieldName>CustomerCountry</FieldName>
      <MaskType>None</MaskType>
    </FieldMask>      
    <FieldMask>
      <FieldName>MainPhone</FieldName>
      <MaskType>Similar</MaskType>
      <RegExMatch>^(\+\d\d)?(.*)$</RegExMatch>
      <RegExGroupToReplace>2</RegExGroupToReplace>
    </FieldMask>   
    <FieldMask>
      <FieldName>Street</FieldName>
      <MaskType>List</MaskType>
        <ListOfPossibleReplacements>
          <Replacement Selector="CustomerCountry=NL" List="Bergselaan,Schieweg,Nootdorpstraat,Nolensstraat" />
          <Replacement Selector="CustomerCountry=CH" List="Bahnhofstrasse,Clarahofweg,Sperrstrasse,Erlenstrasse" />
          <Replacement Selector="CustomerCountry=LI" List="Lettstrasse,Bangarten,Beckagässli,Haldenweg" />
          <Replacement Selector="CustomerCountry=DE" List="Bahnhofstraße,Freigaße,Hauptstraße" />
          <Replacement Selector="CustomerCountry=BE" List="Rue d'Argent,Rue d'Assaut,Rue de l'Ecuyer,Rue du Persil" />
          <Replacement Selector="CustomerCountry=FR" List="Rue Nationale,Boulevard Vauban,Rue des Stations,Boulevard de la Liberté" />
          
          <Replacement Selector="" List="Bedford Gardens,Sheffield Terrace,Kensington Palace Gardens" />
        </ListOfPossibleReplacements>
    </FieldMask>          
    <FieldMask>
      <FieldName>CustomerCity</FieldName>
      <MaskType>Query</MaskType>
      <QueryReplacement 
        SelectorField="CustomerCountry" 
        GroupField="cityCountryName" 
        ValueField="cityName" 
        Query="SELECT cityName, cityCountryName FROM cities" />
    </FieldMask>  
  </FieldMasks>
  <DataSource>Database</DataSource>
  <DataDestination>Database</DataDestination>
  <ConnectionString>Server=DBSRV1;Database=appdb;Trusted_Connection=yes;</ConnectionString>
  
  <ConnectionType>System.Data.SqlClient</ConnectionType>
  <SqlSelect>SELECT ID, CustomerFullname, CustomerCity, CustomerCountry FROM customers</SqlSelect>
  
  <SqlCommand>INSERT INTO customers_anonymous (ID, CustomerFullname, CustomerCity, CustomerCountry) VALUES (@ID, @CustomerFullname, @CustomerCity, @CustomerCountry)</SqlCommand>
</MaskConfig> 

Sample config file for JSON source and destination using an Expression and a List

<?xml version="1.0"?>
<MaskConfig xmlns:xsd="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <FieldMasks>
    <FieldMask>
      <FieldName>name</FieldName>
      <MaskType>Expression</MaskType>
      <Expression>Customer {{$.id}}</Expression>
    </FieldMask>
    <FieldMask>
      <FieldName>salary</FieldName>
      <MaskType>Similar</MaskType>
    </FieldMask>  
    <FieldMask>
      <FieldName>spouse</FieldName>
      <MaskType>List</MaskType>
		<ListOfPossibleReplacements>
			<Replacement Selector="" List="Eleni Koufaki,Athina Lefkogianaki,Mihaela Papadomanolaki" />
		</ListOfPossibleReplacements>
	</FieldMask>	  
  </FieldMasks>
  <InputFile>%TestInstanceDir%\data2.json</InputFile>
  <OutputFile>%TestInstanceDir%\maskedata2.json</OutputFile>
  <DataSource>JsonFile</DataSource>
  <DataDestination>JsonFile</DataDestination>
</MaskConfig>

The above config file can process for example the following JSON:

{
    "employees": [
        {
            "id": "1",
            "name": "Aleksander Singh",
            "salary": 105000,
            "spouse": "Ingrid Díaz"
        },
        {
            "id": "2",
            "name": "Alicja Bakshi",
            "salary": 142500,
            "spouse": "Ellinore Alvarez"
        }
    ]
}

and the result will be something like the following:

{
    "employees": [
        {
            "id": "1",
            "name": "Customer-1",
            "salary": 902473,
            "spouse": "Mihaela Papadomanolaki"
        },
        {
            "id": "2",
            "name": "Customer-2",
            "salary": 046795,
            "spouse": "Eleni Koufaki"
        }
    ]
}

Note:

Although not required by the license, the author kindly asks that you share any improvements you made.