dsv

package
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 Go to latest Published: Apr 4, 2024 License: BSD-3-Clause, BSD-3-Clause Imports: 12 Imported by: 0

README

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Package dsv is a Go library for working with delimited separated value (DSV).

DSV is a free-style form of CSV format of text data, where each record is separated by newline, and each column can be separated by any string, not just comma.

Example

Lets process this input file input.dat,

Mon Dt HH MM SS Process
Nov 29 23:14:36 process-1
Nov 29 23:14:37 process-2
Nov 29 23:14:38 process-3

and generate output file output.dat which format like this,

"process_1","29-Nov"
"process_2","29-Nov"
"process_3","29-Nov"

How do we do it?

First, create file metadata for input and output, name it config.dsv,

{
    "Input"         :"input.dat"
,   "Skip"          :1
,   "InputMetadata" :
    [{
        "Name"      :"month"
    ,   "Separator" :" "
    },{
        "Name"      :"date"
    ,   "Separator" :" "
    ,   "Type"      :"integer"
    },{
        "Name"      :"hour"
    ,   "Separator" :":"
    ,   "Type"      :"integer"
    },{
        "Name"      :"minute"
    ,   "Separator" :":"
    ,   "Type"      :"integer"
    },{
        "Name"      :"second"
    ,   "Separator" :" "
    ,   "Type"      :"integer"
    },{
        "Name"      :"process_name"
    ,   "Separator" :"-"
    },{
        "Name"      :"process_id"
    }]
,   "Output"        :"output.dat"
,   "OutputMetadata":
    [{
        "Name"      :"process_name"
    ,   "LeftQuote" :"\""
    ,   "Separator" :"_"
    },{
        "Name"      :"process_id"
    ,   "RightQuote":"\""
    ,   "Separator" :","
    },{
        "Name"      :"date"
    ,   "LeftQuote" :"\""
    ,   "Separator" :"-"
    },{
        "Name"      :"month"
    ,   "RightQuote":"\""
    }]
}

The metadata is using JSON format. For more information see metadata.go and reader.go.

Second, we create a reader to read the input file.

dsvReader, e := dsv.NewReader("config.dsv", nil)

if nil != e {
    t.Fatal(e)
}

Third, we create a writer to write our output data,

dsvWriter, e := dsv.NewWriter("config.dsv")

if nil != e {
    t.Error(e)
}

Last action, we process them: read input records and pass them to writer.

for {
    n, e := dsv.Read(dsvReader)

    if n > 0 {
        dsvWriter.Write(dsvReader)

    // EOF, no more record.
    } else if e == io.EOF {
        break
    }
}

// we will make sure all open descriptor is closed.
_ = dsvReader.Close()

Easy enough? We can combine the reader and writer using dsv.New(), which will create reader and writer,

rw, e := dsv.New("config.dsv", nil)

if nil != e {
    t.Error(e)
}

// do usual process like in the last step.

Thats it!

Terminology

Here are some terminology that we used in developing this library, which may help reader understanding the configuration and API.

  • Dataset: is a content of file
  • Record: a single cell in row or column, or the smallest building block of dataset
  • Row: is a horizontal representation of records in dataset
  • Column: is a vertical representation of records in dataset
       COL-0  COL-1  ... COL-x
ROW-0: record record ... record
ROW-1: record record ... record
...
ROW-y: record record ... record

Configuration

We choose and use JSON for configuration because,

  1. No additional source to test.
  2. Easy to extended. User can embed the current metadata, add additional configuration, and create another reader to work with it.

Metadata

Metadata contain information about each column when reading input file and writing to output file,

  • Name: mandatory, the name of column
  • Type: optional, type of record when reading input file. Valid value are "integer", "real", or "string" (default)
  • Separator: optional, default to "\n". Separator is a string that separate the current record with the next record.
  • LeftQuote: optional, default is empty "". LeftQuote is a string that start at the beginning of record.
  • RightQuote: optional, default is empty "". RightQuote is a string at the end of record.
  • Skip: optional, boolean, default is false. If true the column will be saved in dataset when reading input file, otherwise it will be ignored.
  • ValueSpace: optional, slice of string, default is empty. This contain the string representation of all possible value in column.

Input

Input configuration contain information about input file.

  • Input: mandatory, the name of input file, could use relative or absolute path. If no path is given then it assumed that the input file is in the same directory with configuration file.
  • InputMetadata: mandatory, list of metadata.
  • Skip: optional, number, default 0. Skip define the number of line that will be skipped when first input file is opened.
  • TrimSpace: optional, boolean, default is true. If its true, before parsed, the white space in the beginning and end of each input line will be removed, otherwise it will leave unmodified.
  • Rejected: optional, default to rejected.dat. Rejected is file where data that does not match with metadata will be saved. One can inspect the rejected file fix it for re-process or ignore it.
  • MaxRows: optional, default to 256. Maximum number of rows for one read operation that will be saved in memory. If its negative, i.e. -1, all data in input file will be processed.
  • DatasetMode: optional, default to "rows". Mode of dataset in memory. Valid values are "rows", "columns", or "matrix". Matrix mode is combination of rows and columns, it give more flexibility when processing the dataset but will require additional memory.
DatasetMode Explained

For example, given input data file,

col1,col2,col3
a,b,c
1,2,3

"rows" mode is where each line saved in its own slice, resulting in Rows:

Rows[0]: [a b c]
Rows[1]: [1 2 3]

"columns" mode is where each line saved by columns, resulting in Columns:

Columns[0]: {col1 0 0 [] [a 1]}
Columns[1]: {col2 0 0 [] [b 2]}
Columns[1]: {col3 0 0 [] [c 3]}

Unlike rows mode, each column contain metadata including column name, type, flag, and value space (all possible value that may contain in column value).

"matrix" mode is where each record saved both in row and column.

Output

Output configuration contain information about output file when writing the dataset.

  • Output: mandatory, the name of output file, could use relative or absolute path. If no path is given then it assumed that the output file is in the same directory with configuration file.
  • OutputMetadata: mandatory, list of metadata.

Working with DSV

Processing each Rows/Columns

After opening the input file, we can process the dataset based on rows/columns mode using simple for loop. Example,

// Save dataset object for used later.
dataset := dsvReader.GetDataset().(tabula.DatasetInterface)

for {
	n, e := dsv.Read(dsvReader)

	if n > 0 {
		// Process each row ...
		for x, row := dataset.GetDataAsRows() {

			for y, record := range row.Records {
				// process each record in row
			}
		}

		// Or, process each columns
		for x, column := dataset.GetDataAsColumns() {

			for y, record := range column.Records {
				// process each record in column
			}
		}

		// Write the dataset to file after processed
		dsvWriter.Write(dsvReader)
	}
	if e == io.EOF {
		break
	}
	if e != nil {
		// handle error
	}
}

Using different Dataset

Default dataset used by Reader is tabula.Dataset.

You can extend and implement DatasetInterface and use it in reader object, either by

  • passing it in the second parameter in NewReader, for example,

    myset := MySet{
	...
}
reader, e := dsv.NewReader("config.dsv", &myset)

  • or by calling reader.Init after creating new Reader,

    myset := MySet{
	...
}
reader := dsv.Reader{
	...
}
reader.Init("config.dsv", &myset)

Builtin Functions for Dataset

Since we use tabula package to manage data, any features in those package can be used in our dataset. For more information see tabula package.

Limitations

  • New line is \n for each row.

  • Reader and Writer operate in ASCII (8 bit or char type), UTF-8 is not supported yet, since we can not test it. Patch for supporting UTF-8 (or runes type) are welcome.

  • About escaped character in content of data.

    Since we said that we handle free-style form of CSV, what we mean was the left-quote, right-quote and separator can be string. Its not only one single character like single quote or double quote or any single character, but literally one or more characters without space. Any escaped character will be read as is (along with '\') unless its followed by right-quote or separator. For example,

    "test\'"

    will be readed as test\'. But

    "test\""

    will be readed as test", since the right-quote is matched with escaped token.

Documentation

Overview

Package dsv is a library for working with delimited separated value (DSV).

DSV is a free-style form of Comma Separated Value (CSV) format of text data, where each row is separated by newline, and each column can be separated by any string enclosed with left-quote and right-quote.

Index

Constants

View Source 
const (
	// DefaultRejected define the default file which will contain the
	// rejected row.
	DefaultRejected = "rejected.dat"

	// DefaultMaxRows define default maximum row that will be saved
	// in memory for each read if input data is too large and can not be
	// consumed in one read operation.
	DefaultMaxRows = 256

	// DefDatasetMode default output mode is rows.
	DefDatasetMode = DatasetModeROWS

	// DefEOL default end-of-line
	DefEOL = '\n'
)
View Source 
const (
	// DatasetModeROWS is a string representation of output mode rows.
	DatasetModeROWS = "ROWS"
	// DatasetModeCOLUMNS is a string representation of output mode columns.
	DatasetModeCOLUMNS = "COLUMNS"
	// DatasetModeMATRIX will save data in rows and columns. This mode will
	// consume more memory that "rows" and "columns" but give greater
	// flexibility when working with data.
	DatasetModeMATRIX = "MATRIX"
)
View Source 
const (

	// EReadMissLeftQuote read error when no left-quote found on line.
	EReadMissLeftQuote
	// EReadMissRightQuote read error when no right-quote found on line.
	EReadMissRightQuote
	// EReadMissSeparator read error when no separator found on line.
	EReadMissSeparator
	// EReadLine error when reading line from file.
	EReadLine
	// EReadEOF error which indicated end-of-file.
	EReadEOF
	// ETypeConversion error when converting type from string to numeric or
	// vice versa.
	ETypeConversion
)
View Source 
const (
	// DefSeparator default separator that will be used if its not given
	// in config file.
	DefSeparator = ","
	// DefOutput file.
	DefOutput = "output.dat"
	// DefEscape default string to escape the right quote or separator.
	DefEscape = "\\"
)

Variables

View Source 
var (
	// ErrNoInput define an error when no Input file is given to Reader.
	ErrNoInput = errors.New("dsv: No input file is given in config")

	// ErrMissRecordsLen define an error when trying to push Row
	// to Field, when their length is not equal.
	// See reader.PushRowToColumns().
	ErrMissRecordsLen = errors.New("dsv: Mismatch between number of record in row and columns length")

	// ErrNoOutput define an error when no output file is given to Writer.
	ErrNoOutput = errors.New("dsv: No output file is given in config")

	// ErrNotOpen define an error when output file has not been opened
	// by Writer.
	ErrNotOpen = errors.New("dsv: Output file is not opened")

	// ErrNilReader define an error when Reader object is nil when passed
	// to Write function.
	ErrNilReader = errors.New("dsv: Reader object is nil")
)

Functions

func ConfigCheckPath 

func ConfigCheckPath(comin ConfigInterface, file string) string

ConfigCheckPath if no path in file, return the config path plus file name, otherwise leave it unchanged.

func ConfigOpen 

func ConfigOpen(rw interface{}, fcfg string) error

ConfigOpen configuration file and initialize the attributes.

func ConfigParse 

func ConfigParse(rw interface{}, cfg []byte) error

ConfigParse from JSON string.

func InitWriter 

func InitWriter(writer WriterInterface) error

InitWriter initialize writer by opening output file.

func OpenWriter 

func OpenWriter(writer WriterInterface, fcfg string) (e error)

OpenWriter configuration file and initialize the attributes.

func Read 

func Read(reader ReaderInterface) (n int, e error)

Read row from input file.

func SimpleWrite 

func SimpleWrite(reader ReaderInterface, fcfg string) (nrows int, e error)

SimpleWrite provide a shortcut to write data from reader using output metadata format and output file defined in file `fcfg`.

Types

type Config 

type Config struct {
	// ConfigPath path to configuration file.
	ConfigPath string
}

Config for working with DSV configuration.

func (*Config) GetConfigPath 

func (cfg *Config) GetConfigPath() string

GetConfigPath return the base path of configuration file.

func (*Config) SetConfigPath 

func (cfg *Config) SetConfigPath(dir string)

SetConfigPath for reading input and writing rejected file.

type ConfigInterface 

type ConfigInterface interface {
	GetConfigPath() string
	SetConfigPath(dir string)
}

ConfigInterface for reader and writer for initializing the config from JSON.

type Metadata 

type Metadata struct {
	// Name of the column, optional.
	Name string `json:"Name"`

	// Type of the column, default to "string".
	// Valid value are: "string", "integer", "real"
	Type string `json:"Type"`

	// Separator for column in record.
	Separator string `json:"Separator"`

	// LeftQuote define the characters that enclosed the column in the left
	// side.
	LeftQuote string `json:"LeftQuote"`

	// RightQuote define the characters that enclosed the column in the
	// right side.
	RightQuote string `json:"RightQuote"`

	// ValueSpace contain the possible value in records
	ValueSpace []string `json:"ValueSpace"`

	// T type of column in integer.
	T int `json:"T"`

	// Skip, if its true this column will be ignored, not saved in reader
	// object. Default to false.
	Skip bool `json:"Skip"`
}

Metadata represent on how to parse each column in record.

func NewMetadata 

func NewMetadata(name, tipe, sep, leftq, rightq string, vs []string) (
	md *Metadata,
)

NewMetadata create and return new metadata.

func (*Metadata) GetLeftQuote 

func (md *Metadata) GetLeftQuote() string

GetLeftQuote return the string used in the beginning of record value.

func (*Metadata) GetName 

func (md *Metadata) GetName() string

GetName return the name of metadata.

func (*Metadata) GetRightQuote 

func (md *Metadata) GetRightQuote() string

GetRightQuote return string that end in record value.

func (*Metadata) GetSeparator 

func (md *Metadata) GetSeparator() string

GetSeparator return the field separator.

func (*Metadata) GetSkip 

func (md *Metadata) GetSkip() bool

GetSkip return number of rows that will be skipped when reading data.

func (*Metadata) GetType 

func (md *Metadata) GetType() int

GetType return type of metadata.

func (*Metadata) GetTypeName 

func (md *Metadata) GetTypeName() string

GetTypeName return string representation of type.

func (*Metadata) GetValueSpace 

func (md *Metadata) GetValueSpace() []string

GetValueSpace return value space.

func (*Metadata) Init 

func (md *Metadata) Init()

Init initialize metadata column, i.e. check and set column type.

If type is unknown it will default to string.

func (*Metadata) IsEqual 

func (md *Metadata) IsEqual(o MetadataInterface) bool

IsEqual return true if this metadata equal with other instance, return false otherwise.

func (*Metadata) String 

func (md *Metadata) String() string

String yes, it will print it JSON like format.

type MetadataInterface 

type MetadataInterface interface {
	Init()
	GetName() string
	GetType() int
	GetTypeName() string
	GetLeftQuote() string
	GetRightQuote() string
	GetSeparator() string
	GetSkip() bool
	GetValueSpace() []string

	IsEqual(MetadataInterface) bool
}

MetadataInterface is the interface for field metadata. This is to make anyone can extend the DSV library including the metadata.

func FindMetadata 

func FindMetadata(mdin MetadataInterface, mds []MetadataInterface) (
	idx int,
	mdout MetadataInterface,
)

FindMetadata Given a slice of metadata, find `mdin` in the slice which has the same name, ignoring metadata where Skip value is true. If found, return the index and metadata object of matched metadata name. If not found return -1 as index and nil in `mdout`.

type ReadWriter 

type ReadWriter struct {
	Writer
	Reader
}

ReadWriter combine reader and writer.

func New 

func New(config string, dataset interface{}) (rw *ReadWriter, e error)

New create a new ReadWriter object.

func (*ReadWriter) Close 

func (dsv *ReadWriter) Close() (e error)

Close reader and writer.

func (*ReadWriter) SetConfigPath 

func (dsv *ReadWriter) SetConfigPath(dir string)

SetConfigPath of input and output file.

type Reader 

type Reader struct {

	// Input file, mandatory.
	Input string `json:"Input"`

	// Rejected is the file name where row that does not fit
	// with metadata will be saved.
	Rejected string `json:"Rejected"`

	// DatasetMode define on how do you want the result is saved. There are
	// three options: either in "rows", "columns", or "matrix" mode.
	// For example, input data file,
	//
	//	a,b,c
	//	1,2,3
	//
	// "rows" mode is where each line saved in its own slice, resulting
	// in Rows:
	//
	//	[a b c]
	//	[1 2 3]
	//
	// "columns" mode is where each line saved by columns, resulting in
	// Columns:
	//
	//	[a 1]
	//	[b 2]
	//	[c 3]
	//
	// "matrix" mode is where each record saved in their own row and column.
	//
	DatasetMode string `json:"DatasetMode"`

	// Config define path of configuration file.
	//
	// If the configuration located in other directory, e.g.
	// "../../config.dsv", and the Input option is set with name only, like
	// "input.dat", we assume that its in the same directory where the
	// configuration file belong.
	Config

	// InputMetadata define format for each column in input data.
	InputMetadata []Metadata `json:"InputMetadata"`

	// Skip n lines from the head.
	Skip int `json:"Skip"`

	// MaxRows define maximum row that this reader will read and
	// saved in the memory at one read operation.
	// If the value is -1, all rows will read.
	MaxRows int `json:"MaxRows"`

	// TrimSpace or not. If its true, before parsing the line, the white
	// space in the beginning and end of each input line will be removed,
	// otherwise it will leave unmodified.  Default is true.
	TrimSpace bool `json:"TrimSpace"`
	// contains filtered or unexported fields
}

Reader hold all configuration, metadata and input data.

DSV Reader work like this,

(1) Initialize new dsv reader object

dsvReader, e := dsv.NewReader(configfile)

(2) Do not forget to check for error ...

if e != nil { 

// handle error

}

(3) Make sure to close all files after finished

defer dsvReader.Close ()

(4) Create loop to read input data

for { 

n, e := dsv.Read (dsvReader)

if e == io.EOF {
	break
}

(4.1) Iterate through rows 

for row := range dsvReader.GetDataAsRows() {
	// work with row ...
}

}

Thats it.

func NewReader 

func NewReader(config string, dataset interface{}) (reader *Reader, e error)

NewReader create and initialize new instance of DSV Reader with default values.

func (*Reader) AddInputMetadata 

func (reader *Reader) AddInputMetadata(md *Metadata)

AddInputMetadata add new input metadata to reader.

func (*Reader) AppendMetadata 

func (reader *Reader) AppendMetadata(mdi MetadataInterface)

AppendMetadata will append new metadata `md` to list of reader input metadata.

func (*Reader) Close 

func (reader *Reader) Close() (e error)

Close all open descriptors.

func (*Reader) CopyConfig 

func (reader *Reader) CopyConfig(src *Reader)

CopyConfig copy configuration from other reader object not including data and metadata.

func (*Reader) FetchNextLine 

func (reader *Reader) FetchNextLine(lastline []byte) (line []byte, e error)

FetchNextLine read the next line and combine it with the `lastline`.

func (*Reader) Flush 

func (reader *Reader) Flush() error

Flush all output buffer.

func (*Reader) GetDataset 

func (reader *Reader) GetDataset() interface{}

GetDataset return reader dataset.

func (*Reader) GetDatasetMode 

func (reader *Reader) GetDatasetMode() string

GetDatasetMode return output mode of data.

func (*Reader) GetInput 

func (reader *Reader) GetInput() string

GetInput return the input file.

func (*Reader) GetInputMetadata 

func (reader *Reader) GetInputMetadata() []MetadataInterface

GetInputMetadata return pointer to slice of metadata.

func (*Reader) GetInputMetadataAt 

func (reader *Reader) GetInputMetadataAt(idx int) MetadataInterface

GetInputMetadataAt return pointer to metadata at index 'idx'.

func (*Reader) GetMaxRows 

func (reader *Reader) GetMaxRows() int

GetMaxRows return number of maximum rows for reading.

func (*Reader) GetNColumnIn 

func (reader *Reader) GetNColumnIn() int

GetNColumnIn return number of input columns, or number of metadata, including column with Skip=true.

func (*Reader) GetRejected 

func (reader *Reader) GetRejected() string

GetRejected return name of rejected file.

func (*Reader) GetSkip 

func (reader *Reader) GetSkip() int

GetSkip return number of line that will be skipped.

func (*Reader) Init 

func (reader *Reader) Init(fcfg string, dataset interface{}) (e error)

Init will initialize reader object by

(1) Check if dataset is not empty. (2) Read config file. (3) Set reader object default value. (4) Check if output mode is valid and initialize it if valid. (5) Check and initialize metadata and columns attributes. (6) Check if Input is name only without path, so we can prefix it with 

config path.

(7) Open rejected file. (8) Open input file.

func (*Reader) IsEqual 

func (reader *Reader) IsEqual(other *Reader) bool

IsEqual compare only the configuration and metadata with other instance.

func (*Reader) IsTrimSpace 

func (reader *Reader) IsTrimSpace() bool

IsTrimSpace return value of TrimSpace option.

func (*Reader) MergeColumns 

func (reader *Reader) MergeColumns(other ReaderInterface)

MergeColumns append metadata and columns from another reader if not exist in current metadata set.

func (*Reader) MergeRows 

func (reader *Reader) MergeRows(other *Reader)

MergeRows append rows from another reader.

func (*Reader) Open 

func (reader *Reader) Open() (e error)

Open input and rejected file.

func (*Reader) OpenInput 

func (reader *Reader) OpenInput() (e error)

OpenInput open the input file, metadata must have been initialize.

func (*Reader) OpenRejected 

func (reader *Reader) OpenRejected() (e error)

OpenRejected open rejected file, for saving unparseable line.

func (*Reader) ReadLine 

func (reader *Reader) ReadLine() (line []byte, e error)

ReadLine will read one line from input file.

func (*Reader) Reject 

func (reader *Reader) Reject(line []byte) (int, error)

Reject the line and save it to the reject file.

func (*Reader) Reset 

func (reader *Reader) Reset() (e error)

Reset all variables for next read operation. Number of rows will be 0, and Rows will be empty again.

func (*Reader) SetDatasetMode 

func (reader *Reader) SetDatasetMode(mode string)

SetDatasetMode to `mode`.

func (*Reader) SetDefault 

func (reader *Reader) SetDefault()

SetDefault options for global config and each metadata.

func (*Reader) SetInput 

func (reader *Reader) SetInput(path string)

SetInput file.

func (*Reader) SetMaxRows 

func (reader *Reader) SetMaxRows(max int)

SetMaxRows will set maximum rows that will be read from input file.

func (*Reader) SetRejected 

func (reader *Reader) SetRejected(path string)

SetRejected file.

func (*Reader) SetSkip 

func (reader *Reader) SetSkip(n int)

SetSkip set number of lines that will be skipped before reading actual data.

func (*Reader) SkipLines 

func (reader *Reader) SkipLines() (e error)

SkipLines skip parsing n lines from input file. The n is defined in the attribute "Skip"

type ReaderError 

type ReaderError struct {
	// Func where error happened
	Func string

	// What cause the error?
	What string

	// Line define the line which cause error
	Line string

	// T define type of error.
	T int

	// Pos character position which cause error
	Pos int

	// N line number
	N int
}

ReaderError to handle error data and message.

func ParseLine 

func ParseLine(reader ReaderInterface, line []byte) (
	prow *tabula.Row, eRead *ReaderError,
)

ParseLine parse a line containing records. The output is array of record (or single row).

This is how the algorithm works (1) create n slice of record, where n is number of column metadata (2) for each metadata (2.0) Check if the next sequence matched with separator. (2.0.1) If its match, create empty record (2.1) If using left quote, skip until we found left-quote (2.2) If using right quote, append byte to buffer until right-quote 

(2.2.1) If using separator, skip until separator

(2.3) If using separator, append byte to buffer until separator (2.4) else append all byte to buffer. (3) save buffer to record

func ReadRow 

func ReadRow(reader ReaderInterface, linenum int) (
	row *tabula.Row,
	line []byte,
	n int,
	eRead *ReaderError,
)

ReadRow read one line at a time until we get one row or error when parsing the data.

func (*ReaderError) Error 

func (e *ReaderError) Error() string

Error to string.

type ReaderInterface 

type ReaderInterface interface {
	ConfigInterface
	AddInputMetadata(*Metadata)
	AppendMetadata(MetadataInterface)
	GetInputMetadata() []MetadataInterface
	GetInputMetadataAt(idx int) MetadataInterface
	GetMaxRows() int
	SetMaxRows(max int)
	GetDatasetMode() string
	SetDatasetMode(mode string)
	GetNColumnIn() int
	GetInput() string
	SetInput(path string)
	GetRejected() string
	SetRejected(path string)
	GetSkip() int
	SetSkip(n int)
	IsTrimSpace() bool
	SetDefault()
	OpenInput() error
	OpenRejected() error
	SkipLines() error

	Reset() error
	Flush() error
	ReadLine() ([]byte, error)
	FetchNextLine([]byte) ([]byte, error)
	Reject(line []byte) (int, error)
	Close() error

	GetDataset() interface{}
	MergeColumns(ReaderInterface)
}

ReaderInterface is the interface for reading DSV file.

func SimpleMerge 

func SimpleMerge(fin1, fin2 string, dataset1, dataset2 interface{}) (
	ReaderInterface,
	error,
)

SimpleMerge provide a shortcut to merge two dsv files using configuration files passed in parameters.

One must remember to set, - "MaxRows" to -1 to be able to read all rows, in both input configuration, and - "DatasetMode" to "columns" to speeding up process.

This function return the merged reader or error if failed.

func SimpleRead 

func SimpleRead(fcfg string, dataset interface{}) (
	reader ReaderInterface,
	e error,
)

SimpleRead provide a shortcut to read data from file using configuration file from `fcfg`. Return the reader contained data or error if failed. Reader object upon returned has been closed, so if one need to read all data in it simply set the `MaxRows` to `-1` in config file.

type Writer 

type Writer struct {

	// BufWriter for buffered writer.
	BufWriter *bufio.Writer `json:"-"`

	Config `json:"-"`

	// Output file where the records will be written.
	Output string `json:"Output"`

	// OutputMetadata define format for each column.
	OutputMetadata []Metadata `json:"OutputMetadata"`
	// contains filtered or unexported fields
}

Writer write records from reader or slice using format configuration in metadata.

func NewWriter 

func NewWriter(config string) (writer *Writer, e error)

NewWriter create a writer object. User must call Open after that to populate the output and metadata.

func (*Writer) AddMetadata 

func (writer *Writer) AddMetadata(md Metadata)

AddMetadata will add new output metadata to writer.

func (*Writer) Close 

func (writer *Writer) Close() (e error)

Close all open descriptor.

func (*Writer) Flush 

func (writer *Writer) Flush() error

Flush output buffer to disk.

func (*Writer) GetOutput 

func (writer *Writer) GetOutput() string

GetOutput return output filename.

func (*Writer) OpenOutput 

func (writer *Writer) OpenOutput(file string) (e error)

OpenOutput file and buffered writer. File will be truncated if its exist.

func (*Writer) ReopenOutput 

func (writer *Writer) ReopenOutput(file string) (e error)

ReopenOutput will open the output file back without truncating the content.

func (*Writer) SetOutput 

func (writer *Writer) SetOutput(path string)

SetOutput will set the output file to path.

func (*Writer) String 

func (writer *Writer) String() string

String yes, it will print it in JSON like format.

func (*Writer) Write 

func (writer *Writer) Write(reader ReaderInterface) (int, error)

Write rows from Reader to file. Return n for number of row written, or e if error happened.

func (*Writer) WriteColumns 

func (writer *Writer) WriteColumns(columns tabula.Columns,
	colMd []MetadataInterface,
) (
	n int,
	e error,
)

WriteColumns will write content of columns to output file. Return n for number of row written, and e if error happened.

func (*Writer) WriteRawColumns 

func (writer *Writer) WriteRawColumns(cols *tabula.Columns, sep *string) (
	nrow int,
	e error,
)

WriteRawColumns write raw columns using separator `sep` for each record to file.

We use pointer in separator parameter, so we can use empty string as separator.

func (*Writer) WriteRawDataset 

func (writer *Writer) WriteRawDataset(dataset tabula.DatasetInterface,
	sep *string,
) (
	int, error,
)

WriteRawDataset will write content of dataset to file without metadata but using separator `sep` for each record.

We use pointer in separator parameter, so we can use empty string as separator.

func (*Writer) WriteRawRow 

func (writer *Writer) WriteRawRow(row *tabula.Row, sep, esc []byte) (e error)

WriteRawRow will write row data using separator `sep` for each record.

func (*Writer) WriteRawRows 

func (writer *Writer) WriteRawRows(rows *tabula.Rows, sep *string) (
	nrow int,
	e error,
)

WriteRawRows write rows data using separator `sep` for each record. We use pointer in separator parameter, so we can use empty string as separator.

func (*Writer) WriteRow 

func (writer *Writer) WriteRow(row *tabula.Row, recordMd []MetadataInterface) (
	e error,
)

WriteRow dump content of Row to file using format in metadata.

func (*Writer) WriteRows 

func (writer *Writer) WriteRows(rows tabula.Rows, recordMd []MetadataInterface) (
	n int,
	e error,
)

WriteRows will loop each row in the list of rows and write their content to output file. Return n for number of row written, and e if error happened.

type WriterInterface 

type WriterInterface interface {
	ConfigInterface
	GetOutput() string
	SetOutput(path string)
	OpenOutput(file string) error
	Flush() error
	Close() error
}

WriterInterface is an interface for writing DSV data to file.

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