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Serial-Studio/libs/qtcsv/README.md
Alex Spataru 9017590100 Remove submodules
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# qtcsv
[![Build Status](https://travis-ci.org/iamantony/qtcsv.svg?branch=master)](https://travis-ci.org/iamantony/qtcsv) [![Build status](https://ci.appveyor.com/api/projects/status/7uv7ghs9uexf08bv/branch/master?svg=true)](https://ci.appveyor.com/project/iamantony/qtcsv/branch/master)
Small easy-to-use library for reading and writing [csv-files][csvwiki]
in Qt.
Tested on:
- Ubuntu 14.04 with gcc 4.8.4, Qt 4.8 and higher
- Windows with MinGW, Qt 5.3 and higher
- OS X with clang, Qt 4.8, 5.5, 5.7 and higher
## Table of contents
* [1. Quick Example](#1-quick-example)
* [2. Usage](#2-usage)
* [2.1 Containers](#21-containers)
* [2.1.1 AbstractData](#211-abstractdata)
* [2.1.2 StringData](#212-stringdata)
* [2.1.3 VariantData](#213-variantdata)
* [2.2 Reader](#22-reader)
* [2.2.1 Reader functions](#221-reader-functions)
* [2.2.2 AbstractProcessor](#222-abstractprocessor)
* [2.3 Writer](#23-writer)
* [3. Requirements](#3-requirements)
* [4. Build](#4-build)
* [4.1 Building on Linux, OS X](#41-building-on-linux-os-x)
* [4.1.1 Using qmake](#411-using-qmake)
* [4.1.2 Using cmake](#412-using-cmake)
* [4.2 Building on Windows](#42-building-on-windows)
* [4.2.1 Prebuild step on Windows](#421-prebuild-step-on-windows)
* [4.2.2 Using qmake](#422-using-qmake)
* [4.2.3 Using cmake](#423-using-cmake)
* [5. Run tests](#5-run-tests)
* [5.1 Linux, OS X](#51-linux-os-x)
* [5.2 Windows](#52-windows)
* [6. Installation](#6-installation)
* [7. Examples](#7-examples)
* [8. Other](#8-other)
* [9. Creators](#9-creators)
## 1. Quick Example
```cpp
#include <QList>
#include <QStringList>
#include <QDir>
#include <QDebug>
#include "qtcsv/stringdata.h"
#include "qtcsv/reader.h"
#include "qtcsv/writer.h"
int main()
{
// prepare data that you want to save to csv-file
QStringList strList;
strList << "one" << "two" << "three";
QtCSV::StringData strData;
strData.addRow(strList);
strData.addEmptyRow();
strData << strList << "this is the last row";
// write to file
QString filePath = QDir::currentPath() + "/test.csv";
QtCSV::Writer::write(filePath, strData);
// read data from file
QList<QStringList> readData = QtCSV::Reader::readToList(filePath);
for ( int i = 0; i < readData.size(); ++i )
{
qDebug() << readData.at(i).join(",");
}
return 0;
}
```
## 2. Usage
Library could be separated into three parts: **_Reader_**,
**_Writer_** and **_Containers_**.
### 2.1 Containers
*qtcsv* library can work with standard Qt containers like QList and
QStringList, but also with special ones.
#### 2.1.1 AbstractData
**[_AbstractData_][absdata]** is a pure abstract class that provide
interface for a container class. Here is how it looks:
```cpp
class AbstractData
{
public:
explicit AbstractData() {}
virtual ~AbstractData() {}
virtual void addEmptyRow() = 0;
virtual void addRow(const QStringList& values) = 0;
virtual void clear() = 0;
virtual bool isEmpty() const = 0;
virtual int rowCount() const = 0;
virtual QStringList rowValues(const int& row) const = 0;
};
```
As you can see, **_AbstractData_** declare virtual functions for adding new rows,
getting rows values, clearing all information and so on. Basic stuff for a
container class.
If you have said *Pure Abstract Class*, you must also say *Implementation*.
Don't worry, we have some:
#### 2.1.2 StringData
**[_StringData_][strdata]** have the same interface as **_AbstractData_**
class plus some useful functions for inserting rows, removing rows and
so on. It stores all data as strings. It is most convenient to use it
when information that you want to save in csv-file is represented as strings.
#### 2.1.3 VariantData
If you store information in different types - integers, floating point
values, strings or (almost) anything else (example: [1, 3.14, "check"]) -
and you don't want to manually transform each element to string, then you
can use **_QVariant_** magic. Wrap your data into **_QVariants_** and pass it to
**[_VariantData_][vardata]** class.
### 2.2 Reader
Use **[_Reader_][reader]** class to read csv-files / csv-data. Let's see what
functions it has.
#### 2.2.1 Reader functions
1. Read data to **_QList\<QStringList\>_**
```cpp
QList<QStringList> readToList(const QString& filePath,
const QString& separator,
const QString& textDelimiter,
QTextCodec* codec);
QList<QStringList> readToList(QIODevice& ioDevice,
const QString& separator,
const QString& textDelimiter,
QTextCodec* codec);
```
- *filePath* - string with absolute path to existent csv-file
(example: "/home/user/my-file.csv");
- *ioDevice* - IO Device that contains csv-formatted data;
- *separator* (optional) - delimiter symbol, that separate elements
in a row (by default it is comma - ",");
- *textDelimiter* (optional) - text delimiter symbol that enclose
each element in a row (by default it is double quoute - ");
- *codec* (optional) - pointer to the codec object that will be used
to read data from the file (by default it is UTF-8 codec).
As a result function will return **_QList\<QStringList\>_**
that holds content of the file / IO Device. If all went smooth,
list will not be empty and size of it will be equal to the number of rows
in csv-data source. Each **_QStringList_** will contain elements of
the corresponding row.
2. Read data to **_AbstractData_**-based container
```cpp
bool readToData(const QString& filePath,
AbstractData& data,
const QString& separator,
const QString& textDelimiter,
QTextCodec* codec);
bool readToData(QIODevice& ioDevice,
AbstractData& data,
const QString& separator,
const QString& textDelimiter,
QTextCodec* codec);
```
Second function is a little more advanced and, I hope, a little more useful.
- *filePath* - string with absolute path to existent csv-file;
- *ioDevice* - IO Device that contains csv-formatted data;
- *data* - reference to **_AbstractData_**-based class object;
- *separator* (optional) - delimiter symbol;
- *textDelimiter* (optional) - text delimiter symbol;
- *codec* (optional) - pointer to the codec object.
Function will save content of the file / IO Device in *data* object using virtual
function **_AbstractData::addRow(QStringList)_**. If you pass to the
function **_Reader::readToData()_** object of class **_StringData_** or
**_VariantData_**, elements of csv-data will be saved in them as strings.
If you are not happy with this fact, you can create your own
**_AbstractData_**-based container class and implement function
**_addRow(QStringList)_** in a way you want it.
For example, if you know, that each row of your csv-data contains 3 elements
(integer value, floating-point value and string), then in function
**_addRow(QStringList)_** you can convert first element of **_QStringList_**
to int, second - to double and save all three elements to some
internal container (or do with them whatever you want).
3. Read data and process it line-by-line by **_AbstractProcessor_**-based processor
```cpp
bool readToProcessor(const QString& filePath,
AbstractProcessor& processor,
const QString& separator,
const QString& textDelimiter,
QTextCodec* codec);
bool readToProcessor(QIODevice& ioDevice,
AbstractProcessor& processor,
const QString& separator,
const QString& textDelimiter,
QTextCodec* codec);
```
- *filePath* - string with absolute path to existent csv-file;
- *ioDevice* - IO Device that contains csv-formatted data;
- *processor* - reference to **_AbstractProcessor_**-based class object;
- *separator* (optional) - delimiter symbol;
- *textDelimiter* (optional) - text delimiter symbol;
- *codec* (optional) - pointer to the codec object.
This function will read csv-data from file / IO Device line-by-line and
pass data to *processor* object.
#### 2.2.2 AbstractProcessor
**[_AbstractProcessor_][reader]** is an abstract class with two
functions:
``` cpp
class AbstractProcessor
{
public:
explicit AbstractProcessor() {}
virtual ~AbstractProcessor() {}
virtual void preProcessRawLine(QString& line) { }
virtual bool processRowElements(const QStringList& elements) = 0;
};
```
When **_Reader_** opens a csv-data source (file or IO Device), it starts
to read it line by line in a cycle. Each new line **_Reader_** first of all
pass to processor method **_preProcessRawLine(QString&)_**. In this method
you can edit the line - replace values, remove sensitive information and so on.
After **_Reader_** parses elements of the row, it pass them to processor
method **_processRowElements(QStringList)_**. What to do next with these
elements - the processor decides. Processor can save elements, filter them,
edit and so on. As an example we can consider class **_ReadToListProcessor_**
(defined in [reader.cpp][reader-cpp]) which simply saves elements into
**_QList_**.
### 2.3 Writer
Use **[_Writer_][writer]** class to write csv-data to files / IO Devices.
```cpp
bool write(const QString& filePath,
const AbstractData& data,
const QString& separator,
const QString& textDelimiter,
const WriteMode& mode,
const QStringList& header,
const QStringList& footer,
QTextCodec* codec);
bool write(QIODevice& ioDevice,
const AbstractData& data,
const QString& separator,
const QString& textDelimiter,
const QStringList& header,
const QStringList& footer,
QTextCodec* codec);
```
- *filePath* - string with absolute path to csv-file (new or existent);
- *ioDevice* - IO Device;
- *data* - object, that contains information that you want to write to
csv-file / IO Device. **_Writer_** internally will use
**_QStringList AbstractData::rowValues(int)_** function to get row values;
- *separator* (optional) - delimiter symbol (by default it is comma - ",");
- *textDelimiter* (optional) - text delimiter symbol that enclose
each element in a row (by default it is double quoute - ");
- *mode* (optional) - write mode flag.
If it set to **_WriteMode::REWRITE_** and csv-file exist, then csv-file will be
rewritten. If *mode* set to **_WriteMode::APPEND_** and csv-file exist, then new
information will be appended to the end of the file.
By default mode set to **_WriteMode::REWRITE_**.
- *header* (optional) - strings that will be written at the beginning
of the csv-data, separated with defined separator (empty by default);
- *footer* (optional) - strings that will be written at the end of the
csv-data, separated with defined separator (empty by default);
- *codec* (optional) - pointer to the codec object that will be used
to write data to the file (by default it is UTF-8 codec).
**_Writer_** uses *CRLF* as line ending symbols in accordance with [standard][rfc].
If element of the row contains separator symbol or line ending symbols, such
element will be enclosed by text delimiter symbols (or double quoute if you have set
empty string as text delimiter symbol).
## 3. Requirements
Qt 4.8 and higher.
It is quite possible, that library will be successfully built with older Qt
versions (4.7, 4.6, ...).
## 4. Build
### 4.1 Building on Linux, OS X
#### 4.1.1 Using qmake
```bash
cd /path/to/folder/with/qtcsv
# Create build directory
mkdir ./build
cd ./build
# Build library. You can choose build type: release or debug
qmake ../qtcsv.pro CONFIG+=[release|debug]
make
# Create build directory for tests
mkdir ./tests
cd ./tests
# Build tests. Besides of setting build type, we set path where linker could find compiled library file.
qmake ../../tests/tests.pro CONFIG+=[release|debug] LIBS+=-L../
make
```
#### 4.1.2 Using cmake
```bash
cd /path/to/folder/with/qtcsv
# Create build directory
mkdir ./build
cd ./build
# Build library and tests. See CMakeLists.txt for list of additional options that you can set.
cmake -DCMAKE_BUILD_TYPE=Release -DBUILD_TESTS=ON ..
make
```
### 4.2 Building on Windows
#### 4.2.1 Prebuild step on Windows
If you going to build *qtcsv* library on Windows with MinGW, first of all [check that your PATH variable][path_var] contains paths to _Qt_ and _MinGW_ toolsets. For example, you have installed Qt 5.3 into _C:\Qt_. Then Qt binaries and libraries will be in folder _C:\Qt\5.3\mingw482_32\bin_ and MinGW binaries will be in _C:\Qt\Tools\mingw482_32\bin_. Add these paths to the PATH variable so that Windows would know where to look for _qmake_ and _make_ binaries.
#### 4.2.2 Using qmake
```bash
cd C:\path\to\folder\with\qtcsv
# Create build directory
mkdir .\build
cd .\build
# Build library. You can choose build type: release or debug. Set DESTDIR to current directory.
qmake ..\qtcsv.pro CONFIG+=[release|debug] DESTDIR=%cd%
mingw32-make
# Create build directory for tests
mkdir .\tests
cd .\tests
# Copy library file into 'tests' directory
copy ..\qtcsv.dll .\
# Build tests
qmake ..\..\tests\tests.pro CONFIG+=[release|debug] DESTDIR=%cd%
mingw32-make
```
#### 4.2.3 Using cmake
```bash
cd C:\path\to\folder\with\qtcsv
# Create build directory
mkdir .\build
cd .\build
# Build library and tests. See CMakeLists.txt for list of additional options that you can set.
cmake -G "MinGW Makefiles" -DCMAKE_BUILD_TYPE=Release -DBUILD_TESTS=ON ..
mingw32-make
```
## 5. Run tests
If you want to run tests, then use this commands after build of *qtcsv*:
### 5.1 Linux, OS X
```bash
cd /path/to/folder/with/qtcsv/build/tests
# Set LD_LIBRARY_PATH variable so test binary will know where to search library file.
# Suppose, that library file is located in "build" directory, up a level from current directory.
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$PWD/../
chmod 777 qtcsv_tests
./qtcsv_tests
```
### 5.2 Windows
```bash
cd /path/to/folder/with/qtcsv/build/tests
# Copy library file into "tests" directory
copy ..\*qtcsv.dll .\
qtcsv_tests.exe
```
## 6. Installation
On Unix-like OS you can install *qtcsv* library using this command:
```bash
sudo make install
sudo ldconfig -n -v /usr/local/lib
```
This command will copy all compiled files (libqtcsv.so\*) from build
folder to *"/usr/local/lib"*. Also all headers files will be copied
from *"./include"* folder to *"/usr/local/include/"*.
All installation settings are defined in [*qtcsv.pro*][qtcsv-pro] file.
See *copy_lib_headers* and *target* variables.
For additional information, see [Qt documentation][install-files] about
files installation.
## 7. Examples
If you want to try *qtcsv*, you can download [qtcsv-example project][qtcsv-example].
Don't forget to read README file!
## 8. Other
If you want to know more about csv-file format, read [RFC 4180][rfc] standard.
Also on [this page][csvlint] you can find useful tips about how should look
proper csv-file.
## 9. Creators
Author: [Antony Cherepanov][mypage] (antony.cherepanov@gmail.com)
Contributors: [Patrizio "pbek" Bekerle][pbek], [Furkan "Furkanzmc" Üzümcü][Furkanzmc], [Martin "schulmar" Schulze][schulmar], [cguentherTUChemnitz][cguentherTUChemnitz], [David Jung][David_Jung], [Nicu Tofan][TNick], [Florian Apolloner][apollo13], [Michael Pollind][pollend], [Kuba Ober][KubaO], [Akram Abdeslem Chaima][gakramx]
[csvwiki]: http://en.wikipedia.org/wiki/Comma-separated_values
[reader]: https://github.com/iamantony/qtcsv/blob/master/include/qtcsv/reader.h
[reader-cpp]: https://github.com/iamantony/qtcsv/blob/master/sources/reader.cpp
[writer]: https://github.com/iamantony/qtcsv/blob/master/include/qtcsv/writer.h
[absdata]: https://github.com/iamantony/qtcsv/blob/master/include/qtcsv/abstractdata.h
[strdata]: https://github.com/iamantony/qtcsv/blob/master/include/qtcsv/stringdata.h
[vardata]: https://github.com/iamantony/qtcsv/blob/master/include/qtcsv/variantdata.h
[qtcsv-pro]: https://github.com/iamantony/qtcsv/blob/master/qtcsv.pro
[install-files]: http://doc.qt.io/qt-5/qmake-advanced-usage.html#installing-files
[qtcsv-example]: https://github.com/iamantony/qtcsv-example
[rfc]: http://tools.ietf.org/pdf/rfc4180.pdf
[path_var]: http://superuser.com/questions/284342/what-are-path-and-other-environment-variables-and-how-can-i-set-or-use-them
[csvlint]: http://csvlint.io/about
[mypage]: https://github.com/iamantony
[pbek]: https://github.com/pbek
[Furkanzmc]: https://github.com/Furkanzmc
[schulmar]: https://github.com/schulmar
[cguentherTUChemnitz]: https://github.com/cguentherTUChemnitz
[David_Jung]: https://github.com/davidljung
[TNick]: https://github.com/TNick
[apollo13]: https://github.com/apollo13
[pollend]: https://github.com/pollend
[KubaO]: https://github.com/KubaO
[gakramx]: https://github.com/gakramx
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