Package for searching matching string's in CNJ database.
go get -u github.com/Darklabel91/LegalDoc_Classifier
Return data can be: bool, string, FinalData or CNJ, the last two ar compose as:
type FinalData struct {
SearchName string `json:"SearchName,omitempty"`
CNJId string `json:"CNJId,omitempty"`
CNJIdUpper string `json:"CNJIdUpper,omitempty"`
CNJName string `json:"CNJName,omitempty"`
CnjReturn []CNJ `json:"CnjReturn,omitempty"`
}
type CNJ struct {
IdItem string `json:"IdItem,omitempty"`
IdItemUpper string `json:"IdItemUpper,omitempty"`
Name string `json:"Name,omitempty"`
}
- SearchName: search string to be searched in CNJ database
- CNJId: matched id on CNJ database (the best the package could find or the only)
- CNJIdUpper: upper id, if exists, of the initial id give above (the best the package could find or the only)
- CNJName: matched CNJ data (the best the package could find or the only)
- CnjReturn: all matched CNJ data found [CNJId,CNJIdUpper, CNJName]
- IdItem: id on CNJ database
- IdItemUpper: upper id, if exists, of the initial id give above
- Name: matched CNJ data
Key rune for identifing one of four CNJ databases:
- 'D' documents database (documentos)
- 'M' movements database (movimentos)
- 'C' classes database (classes)
- 'A' subjects database (assuntos)
package main
import (
"fmt"
"github.com/Darklabel91/LegalDoc_Classifier/Classifier"
"github.com/Darklabel91/LegalDoc_Classifier/ClassifierCSV"
)
func main() {
//Search document name on CNJ document table
search := "7b00616 - Recurso de Revista.pdf"
found, err := Classifier.SearchCNJ(search, 'D')
if err != nil {
fmt.Println(err)
}
fmt.Println(found)
//Search movement name on CNJ movement table
search = "prisão"
found, err = Classifier.SearchCNJ(search, 'M')
if err != nil {
fmt.Println(err)
}
fmt.Println(found)
//Search Class name on CNJ movement table
search = "Embargos à Arrematação"
found, err = Classifier.SearchCNJ(search, 'C')
if err != nil {
fmt.Println(err)
}
fmt.Println(found)
//Search subject name on CNJ subject table
search = "plano de saúde"
found, err = Classifier.SearchCNJ(search, 'A')
if err != nil {
fmt.Println(err)
}
fmt.Println(found)
//CSV search document example
raw := "CSV/testDocuments.csv"
separator := ','
resultFolder := "Test"
err = ClassifierCSV.LegalDocumentCSV(raw, separator, resultFolder, 0)
if err != nil {
fmt.Println(err)
}
}
Retorno
{7b00616 - Recurso de Revista.pdf 233 48 Recurso de Revista [{48 3 Recurso} {233 48 Recurso de Revista}]}
{prisão 128 157 Prisão [{128 157 Prisão}]}
{Embargos à Arrematação 171 169 Embargos à Arrematação [{207 197 Embargos} {1006 1071 Embargos} {169 158 Embargos} {171 169 Embargos à Arrematação}]}
{plano de saúde 2364 2581 Plano de Saúde [{2364 2581 Plano de Saúde} {10064 10028 Saúde} {13853 13831 Plano de Saúde}]}
files created.
-
SearchCNJ(searchString string, databaseType rune) -> return FinalData for a given search in searchString on a specific database given in databaseType as rune.
-
SearchCNJCSV(rawFilePath string, separator rune, nameResultFolder string, databaseType rune) -> return CSV file in given folder on nameResultFolder. The .csv passed in rawFilePath must contain a single column.
The precision was verifyed as 92%