3 Commits
dev ... v1.8.0

Author SHA1 Message Date
ado
53c5b779d4 [skip ci] Update version 2024-03-14 19:15:32 +01:00
ado
107a122718 [skip ci] Update README 2024-03-14 19:13:03 +01:00
red0124
55d0a4e598 Updated and added new functions related to headers, resolved ODR issues, resolved clang-tidy warnings (#50)
* Bugfix/odr violations (#47)

* Make common non-member functions inline, remove unreachable line from get_line_buffer

* [skip ci] Fix namespace comments

* Resolve clang-tidy warnings (#48)

* Resolve clang-tidy warnings, update single_header_generator.py

* Update single header test, resolve additional clang-tidy warnings

* Add header and raw_header methods,  update header usage methods error handling, write new and update existing unit tests

* Update parser error messages, fix parser tests

* Add [[nodiscard]] where fitting, update unit tests (#49)

* Add const where fitting, make splitter class members private, add #pragma once to ssp.hpp

* Modify header parsing for empty headers, update old and add new tests for header parsing

* Enable the parser to accept a header with one empty field, update unit tests

* Fix test CMakeLists.txt typo
2024-03-14 17:22:57 +01:00
3 changed files with 33 additions and 11 deletions

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@@ -2,7 +2,7 @@ cmake_minimum_required(VERSION 3.14)
project(
ssp
VERSION 1.7.2
VERSION 1.8.0
DESCRIPTION "csv parser"
HOMEPAGE_URL "https://github.com/red0124/ssp"
LANGUAGES CXX

View File

@@ -74,7 +74,7 @@ Bill (Heath) Gates 65 3.3
# Single header
The library can be used with a single header file **`ssp.hpp`**, but it suffers a slight performance loss when converting floating point values since the **`fast_float`** library is not present within the file.
The library can be used with a single header file **`ssp.hpp`**, but it suffers a significant performance loss when converting floating point values since the **`fast_float`** library is not present within the file.
# Installation
@@ -92,7 +92,7 @@ The library supports [CMake](#Cmake) and [meson](#Meson) build systems
## Headers
The parser can be told to use only certain columns by parsing the header. This can be done by using the **`use_fields`** method. It accepts any number of string-like arguments or even an **`std::vector<std::string>`** with the field names. If any of the fields are not found within the header or if any fields are defined multiple times it will result in an error.
The parser can be told to use only certain columns by parsing the header. This can be done with the **`use_fields`** method. It accepts any number of string-like arguments or even an **`std::vector<std::string>`** with the field names. If any of the fields are not found within the header or if any fields are defined multiple times it will result in an error.
```shell
$ cat students_with_header.csv
Id,Age,Grade
@@ -116,7 +116,7 @@ James Bailey 2.5
Brian S. Wolfe 1.9
Bill (Heath) Gates 3.3
```
The header can be ignored using the **`ss::ignore_header`** [setup](#Setup) option or by calling the **`ignore_next`** method after the parser has been constructed.
The header can be ignored using the **`ss::ignore_header`** [setup](#Setup) option or by calling the **`ignore_next`** method after the parser has been constructed. If the header has been ignored calling any method related to header usage will result in a compilation error.
```cpp
ss::parser<ss::ignore_header> p{file_name};
```
@@ -124,10 +124,10 @@ The fields with which the parser works with can be modified at any given time. T
```cpp
// ...
ss::parser<ss::throw_on_error> p{"students_with_header.csv"};
p.use_fields("Id", "Grade");
p.use_fields("Grade");
const auto& [id, grade] = p.get_next<std::string, float>();
std::cout << id << ' ' << grade << std::endl;
const auto& grade = p.get_next<std::string>();
std::cout << grade << std::endl;
if (p.field_exists("Id")) {
p.use_fields("Grade", "Id");
@@ -139,10 +139,32 @@ The fields with which the parser works with can be modified at any given time. T
```
```shell
$ ./a.out
James Bailey 2.5
40 Brian S. Wolfe
65 Bill (Heath) Gates
2.5
1.9 Brian S. Wolfe
3.3 Bill (Heath) Gates
```
The header is parsed with the same rules as other rows, the only difference is that **`multiline`** will be disabled when parsing the header. To get the data that is
present in the header as a **`std::vector<std::string>`**, the **`header`** method can be used, and to get the header line before it has been parsed, the **`raw_header`** method can be used:
```cpp
// ...
ss::parser<ss::throw_on_error> p{"students_with_header.csv"};
std::cout << p.raw_header() << std::endl;
for (const auto& field: p.header()) {
std::cout << "> " << field << std::endl;
}
// ...
```
```shell
$ ./a.out
Id,Age,Grade
> Id
> Age
> Grade
```
Methods related to headers can also fail, the error handling of these is done in the same way as for other methods.
## Conversions
An alternate loop to the example above would look like:
```cpp

View File

@@ -6,7 +6,7 @@ project(
'cpp_std=c++17',
'buildtype=debugoptimized',
'wrap_mode=forcefallback'],
version: '1.7.2',
version: '1.8.0',
meson_version:'>=0.54.0')
fast_float_dep = dependency('fast_float')