🎛️TransformDataContext

ProcessRows

Processes each row in the table using the provided filter predicate and data processor actions.

Parameters:

• isValid: A function that returns a boolean indicating if the process is valid.

• FilterPredicate: A function to filter input rows.

• DataProcessor: An action to process each row.

Example:

Func<bool> isValid = () => true;
Func<DataRow, bool> filterPredicate = row => row.Field<int>("ID") > 10;
Action<DataRow, long> dataProcessor = (row, index) => Console.WriteLine(row);

data.ProcessRows(isValid, filterPredicate, dataProcessor);

ProcessTable

Processes the entire table using the provided data processor action.

Parameters:

• isValid: A function that returns a boolean indicating if the process is valid.

• DataProcessor: An action to process the table.

Example:

Func<bool> isValid = () => true;
Action<DataTable> dataProcessor = table => Console.WriteLine(table.Rows.Count);

data.ProcessTable(isValid, dataProcessor);

ProcessRowsOfClass

Processes each row of the table by converting it to a target class. It sends non-null rows to the data processor.

Parameters:

• isValid: A function that returns a boolean indicating if the process is valid.

• DataProcessor: An action to process each row.

Example:

Func<bool> isValid = () => true;
Action<DataRow, bool, MyClass> dataProcessor = (row, clean, myClass) => Console.WriteLine(myClass);

data.ProcessRowsOfClass<MyClass>(isValid, dataProcessor);

ParallelRowFilter

Filters rows in parallel based on the provided predicate.

Parameters:

• predicate: A function to filter rows.

Example:

Func<DataRow, bool> predicate = row => row.Field<int>("ID") > 10;

var filteredRows = data.ParallelRowFilter(predicate);

ColumnNullOrEmptyFilter

Checks if a column value in a row is null or empty.

Parameters:

• row: The data row.

• column: The column name.

Example:

var isNullOrEmpty = data.ColumnNullOrEmptyFilter(row, "ColumnName");

EachColumnWithType

Iterates over each column and uses the callback if the column type is valid.

Parameters:

• row: The data row.

• columns: A dictionary of column names and boolean values.

• t: The type to validate.

• FilterNulls: If true, no callback is given on null values.

• col: A callback function.

Example:

Dictionary<string, bool> columns = new Dictionary<string, bool> { { "Column1", true }, { "Column2", false } };
Type type = typeof(string);
Action<string, string, bool> callback = (colName, value, isNull) => Console.WriteLine($"{colName}: {value}");

data.EachColumnWithType(row, columns, type, callback);

EachColumn

Iterates over each column in the dictionary and casts the value to the specified type.

Parameters:

• row: The data row.

• columns: A dictionary of column names and boolean values.

• FilterNulls: If true, no callback is given on null values.

• col: A callback function.

Example:

Dictionary<string, bool> columns = new Dictionary<string, bool> { { "Column1", true }, { "Column2", false } };
Action<string, string, bool> callback = (colName, value, isNull) => Console.WriteLine($"{colName}: {value}");

data.EachColumn<string>(row, columns, callback);

RequiredColumns

Checks if the specified columns exist.

Parameters:

• ColNames: The column names.

Example:

bool allExist = data.RequiredColumns("Column1", "Column2");

RequiredColumnsOR

Checks if at least one of the specified column exists.

Parameters:

• ColNames: The column names.

Example:

var columnsExist = data.RequiredColumnsOR("Column1", "Column2");

AnyColumnsOfType

Checks if any columns exist of the specified types.

Parameters:

• type: The types to check for.

Example:

bool columnsExist = data.AnyColumnsOfType(typeof(int), typeof(string));

ColumnsOfType

Returns a list of columns that are of the specified types.

Parameters:

• type: The types to check for.

Example:

var columns = data.ColumnsOfType(typeof(int), typeof(string));

ColumnExists

Checks if a column exists.

Parameters:

• name: The name of the column.

Example:

bool exists = data.ColumnExists("ColumnName");

ColumnName

Gets the column name from the target column name.

Parameters:

• name: The target field name.

Example:

string columnName = data.ColumnName("TargetFieldName");

ToClass

Converts a data row to a specified class.

Parameters:

• r: The data row.

• UseTargetFieldName: If true, maps through the mapping specification.

• Clean: Outputs if the row could be completely converted.

• uncleanColumnNames: Outputs the list of names of the columns that failed to convert.

Example:

MyClass myClass = data.ToClass<MyClass>(row, out bool clean, out var uncleanColumnNames);

ToClassList

Converts the entire data table to a list of specified classes.

Parameters:

• filterNull: If true, filters out null converted items.

Example:

var classList = data.ToClassList<MyClass>();

GetValue

Gets a value from a data row by the map target name and converts it to the specified type.

Parameters:

• row: The data row.

• name: The name of the target column.

• val: Outputs the value.

Example:

bool success = data.GetValue<int>(row, "ColumnName", out int value);

SetAndValidateValue

Sets and validates a value of a row.

Parameters:

• row: The data row.

• column: The target column name.

• val: The value to set.

Example:

bool success = data.SetAndValidateValue(row, "ColumnName", value);

SetAndValidateValueOrReport

Sets and validates a value of a row and generates a report if it fails.

Parameters:

• row: The data row.

• column: The target column name.

• val: The value to set.

Example:

bool success = data.SetAndValidateValueOrReport(row, "ColumnName", value);

ValidateValue

Validates that a new value is valid against the map restrictions for any given column.

Parameters:

• columnName: The name of the column.

• value: The value to validate.

Example:

bool valid = data.ValidateValue("ColumnName", value);

DataSet Methods (ONLY valid in set level transforms)

ContainsAssociatedSets

Checks if all specified data sets are present.

• Parameters:

  • TransformOnly (bool): If true, only transformed tables are returned. Default is true.

  • SourceOnly (bool): If true, only source (untransformed) tables are considered. Default is false.

  • names (string[]): Names of the sets.

• Returns: A boolean indicating whether all specified sets are present.

Example:

bool allSetsPresent = data.ContainsAssociatedSets(true, false, "set1", "set2");

ContainsAssociatedSet

Checks if a specified data set is present.

• Parameters:

  • name (string): Name of the set.

  • TransformOnly (bool): If true, only transformed tables are returned. Default is true.

  • SourceOnly (bool): If true, only source (untransformed) tables are considered. Default is false.

• Returns: A boolean indicating whether the specified set is present.

Example:

bool isSetPresent = data.ContainsAssociatedSet("set1", true);

AssociatedSets

Retrieves all associated data sets by name.

• Parameters:

  • name (string): Name of the set.

  • TransformOnly (bool): If true, only transformed tables are returned. Default is true.

  • SourceOnly (bool): If true, only source (untransformed) tables are considered. Default is false.

• Returns: A list of DataTable objects for the specified sets.

Example:

List<DataTable> sets = data.AssociatedSets("set1", true, false);

DataContextFromSet

Creates a data context from a set name.

• Parameters:

  • name (string): Original table names from the set.

  • TransformOnly (bool): If true, only the transformed tables are considered.

  • SourceOnly (bool): If true, only source (untransformed) tables are considered. Default is false.

• Returns: A list of TransformDataContext objects for the specified sets.

Example:

List<TransformDataContext> contexts = data.DataContextFromSet("set1", true, false);

SetToClass

Converts the first available set to an enumerable of a specified type.

• Parameters:

  • T (type): Type to which the set will be converted.

  • originalName (string): Original name of the transform sets.

  • TransformedOnly (bool): If true, only transformed tables are returned. Default is true.

  • SourceOnly (bool): If true, only source (untransformed) tables are considered. Default is false.

  • filterNull (bool): If true, will filter out null rows. Default is false.

• Returns: An enumerable of tuples containing the data of type T, a boolean indicating cleanliness, and a list of unclean column names.

Example:

var classData = data.SetToClass<MyClass>("set1", true, false, true);

ForEachSet

Iterates over each set looking them up by original name.

• Parameters:

  • originalName (string): Original name.

  • Callback (Action): Callback per set.

  • TransformedOnly (bool): If true, only transformed tables are considered.

  • SourceOnly (bool): If true, only source (untransformed) tables are considered. Default is false.

Example:

data.ForEachSet("set1", table => {
    // Handle each table
}, true, false);