Implements functionality to read Comma Separated Values and its variants from an input range of dchar
.
Comma Separated Values provide a simple means to transfer and store tabular data. It has been common for programs to use their own variant of the CSV format. This parser will loosely follow the RFC-4180. CSV input should adhere to the following criteria (differences from RFC-4180 in parentheses):
import std.algorithm; import std.array; import std.csv; import std.stdio; import std.typecons; void main() { auto text = "Joe,Carpenter,300000\nFred,Blacksmith,400000\r\n"; foreach (record; csvReader!(Tuple!(string, string, int))(text)) { writefln("%s works as a %s and earns $%d per year", record[0], record[1], record[2]); } // To read the same string from the file "filename.csv": auto file = File("filename.csv", "r"); foreach (record; file.byLine.joiner("\n").csvReader!(Tuple!(string, string, int))) { writefln("%s works as a %s and earns $%d per year", record[0], record[1], record[2]); } } }When an input contains a header the
Contents
can be specified as an associative array. Passing null to signify that a header is present. auto text = "Name,Occupation,Salary\r" "Joe,Carpenter,300000\nFred,Blacksmith,400000\r\n"; foreach (record; csvReader!(string[string]) (text, null)) { writefln("%s works as a %s and earns $%s per year.", record["Name"], record["Occupation"], record["Salary"]); }This module allows content to be iterated by record stored in a struct, class, associative array, or as a range of fields. Upon detection of an error an CSVException is thrown (can be disabled). csvNextToken has been made public to allow for attempted recovery. Disabling exceptions will lift many restrictions specified above. A quote can appear in a field if the field was not quoted. If in a quoted field any quote by itself, not at the end of a field, will end processing for that field. The field is ended when there is no input, even if the quote was not closed.
Exception containing the row and column for when an exception was thrown.
Numbering of both row and col start at one and corresponds to the location in the file rather than any specified header. Special consideration should be made when there is failure to match the header see HeaderMismatchException
for details.
When performing type conversions, std.conv.ConvException
is stored in the next
field.
import std.exception : collectException; import std.algorithm.searching : count; string text = "a,b,c\nHello,65"; auto ex = collectException!CSVException(csvReader(text).count); // "(Row: 0, Col: 0) Row 2's length 2 does not match previous length of 3." writeln(ex.toString);
import std.exception : collectException; import std.algorithm.searching : count; import std.typecons : Tuple; string text = "a,b\nHello,65"; auto ex = collectException!CSVException(csvReader!(Tuple!(string,int))(text).count); // "(Row: 1, Col: 2) Unexpected 'b' when converting from type string to type int" writeln(ex.toString);
Exception thrown when a Token is identified to not be completed: a quote is found in an unquoted field, data continues after a closing quote, or the quoted field was not closed before data was empty.
import std.exception : assertThrown; string text = "a,\"b,c\nHello,65,2.5"; assertThrown!IncompleteCellException(text.csvReader(["a","b","c"]));
Data pulled from input before finding a problem
This field is populated when using csvReader
but not by csvNextToken
as this data will have already been fed to the output range.
Exception thrown under different conditions based on the type of Contents
.
Structure, Class, and Associative Array
import std.exception : assertThrown; string text = "a,b,c\nHello,65,2.5"; assertThrown!HeaderMismatchException(text.csvReader(["b","c","invalid"]));
Determines the behavior for when an error is detected.
Disabling exception will follow these rules:
import std.algorithm.comparison : equal; import std.algorithm.searching : count; import std.exception : assertThrown; string text = "a,b,c\nHello,65,\"2.5"; assertThrown!IncompleteCellException(text.csvReader.count); // ignore the exceptions and try to handle invalid CSV auto firstLine = text.csvReader!(string, Malformed.ignore)(null).front; assert(firstLine.equal(["Hello", "65", "2.5"]));
No exceptions are thrown due to incorrect CSV.
Use exceptions when input has incorrect CSV.
Returns an input range for iterating over records found in input
.
An optional header
can be provided. The first record will be read in as the header. If Contents
is a struct then the header provided is expected to correspond to the fields in the struct. When Contents
is not a type which can contain the entire record, the header
must be provided in the same order as the input or an exception is thrown.
std.range.primitives.isInputRange
. When Contents
is a struct, class, or an associative array, the element type of R is Contents
, otherwise the element type of R is itself a range with element type Contents
. If a header
argument is provided, the returned range provides a header
field for accessing the header from the input in array form. CSVException
When a quote is found in an unquoted field, data continues after a closing quote, the quoted field was not closed before data was empty, a conversion failed, or when the row's length does not match the previous length. HeaderMismatchException
when a header is provided but a matching column is not found or the order did not match that found in the input. Read the exception documentation for specific details of when the exception is thrown for different types of Contents
.Contents
of the input can be provided if all the records are the same type such as all integer data: import std.algorithm.comparison : equal; string text = "76,26,22"; auto records = text.csvReader!int; assert(records.equal!equal([ [76, 26, 22], ]));
import std.algorithm.comparison : equal; string text = "Hello;65;2.5\nWorld;123;7.5"; struct Layout { string name; int value; double other; } auto records = text.csvReader!Layout(';'); assert(records.equal([ Layout("Hello", 65, 2.5), Layout("World", 123, 7.5), ]));
ErrorLevel
as Malformed.ignore
will lift restrictions on the format. This example shows that an exception is not thrown when finding a quote in a field not quoted. string text = "A \" is now part of the data"; auto records = text.csvReader!(string, Malformed.ignore); auto record = records.front; writeln(record.front); // text
import std.algorithm.comparison : equal; string text = "a,b,c\nHello,65,63.63\nWorld,123,3673.562"; auto records = text.csvReader!int(["b"]); assert(records.equal!equal([ [65], [123], ]));
import std.algorithm.comparison : equal; string text = "a,b,c\nHello,65,2.5\nWorld,123,7.5"; struct Layout { int value; double other; string name; } auto records = text.csvReader!Layout(["b","c","a"]); assert(records.equal([ Layout(65, 2.5, "Hello"), Layout(123, 7.5, "World") ]));
header
field. string text = "a,b,c\nHello,65,63.63"; auto records = text.csvReader(null); writeln(records.header); // ["a", "b", "c"]
Lower level control over parsing CSV
This function consumes the input. After each call the input will start with either a delimiter or record break (\n, \r\n, \r) which must be removed for subsequent calls.
Range input
| Any CSV input |
Output ans
| The first field in the input |
Separator sep
| The character to represent a comma in the specification |
Separator quote
| The character to represent a quote in the specification |
bool startQuoted
| Whether the input should be considered to already be in quotes |
IncompleteCellException
When a quote is found in an unquoted field, data continues after a closing quote, or the quoted field was not closed before data was empty.import std.array : appender; import std.range.primitives : popFront; string str = "65,63\n123,3673"; auto a = appender!(char[])(); csvNextToken(str,a,',','"'); writeln(a.data); // "65" writeln(str); // ",63\n123,3673" str.popFront(); a.shrinkTo(0); csvNextToken(str,a,',','"'); writeln(a.data); // "63" writeln(str); // "\n123,3673" str.popFront(); a.shrinkTo(0); csvNextToken(str,a,',','"'); writeln(a.data); // "123" writeln(str); // ",3673"
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Licensed under the Boost License 1.0.
https://dlang.org/phobos/std_csv.html