spacy nlp ner
This commit is contained in:
@@ -27,13 +27,19 @@ func main() {
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queries := db.New(database)
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fileSvc := service.NewFileService(queries, cfg)
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nlpSvc := service.NewNLPService(cfg, fileSvc)
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ocrSvc := service.NewOCRService(cfg, fileSvc)
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urlSvc := service.NewURLService(cfg.HMACSecret, cfg.ServerHost)
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ocrSvc.SetNLPService(nlpSvc)
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ocrSvc.Start()
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defer ocrSvc.Stop()
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h := handler.New(fileSvc, ocrSvc, urlSvc)
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nlpSvc.Start()
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defer nlpSvc.Stop()
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h := handler.New(fileSvc, ocrSvc, nlpSvc, urlSvc)
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r := gin.Default()
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handler.SetupRoutes(r, h)
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@@ -6,6 +6,7 @@ type Config struct {
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Port string
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DBPath string
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OCREndpoint string
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NLPEndpoint string
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UploadDir string
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HMACSecret string
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ServerHost string
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@@ -16,6 +17,7 @@ func Load() *Config {
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Port: envOr("PORT", "8080"),
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DBPath: envOr("DB_PATH", "vaultdrop.db"),
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OCREndpoint: envOr("OCR_ENDPOINT", "http://localhost:9090"),
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NLPEndpoint: envOr("NLP_ENDPOINT", "http://localhost:9091"),
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UploadDir: envOr("UPLOAD_DIR", "./uploads"),
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HMACSecret: envOr("HMAC_SECRET", "thisismyrandomstring"),
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ServerHost: envOr("SERVER_HOST", "http://192.168.1.17:8080"),
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@@ -12,7 +12,7 @@ import (
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const createFile = `-- name: CreateFile :one
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INSERT INTO files (id, name, mime_type, size, storage_key, checksum, created_at, updated_at)
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VALUES (?, ?, ?, ?, ?, ?, CURRENT_TIMESTAMP, CURRENT_TIMESTAMP)
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RETURNING id, name, mime_type, size, storage_key, checksum, ocr_text, created_at, updated_at
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RETURNING id, name, mime_type, size, storage_key, checksum, ocr_text, created_at, updated_at, nlp_data
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`
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type CreateFileParams struct {
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@@ -44,6 +44,7 @@ func (q *Queries) CreateFile(ctx context.Context, arg CreateFileParams) (File, e
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&i.OcrText,
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&i.CreatedAt,
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&i.UpdatedAt,
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&i.NlpData,
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)
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return i, err
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}
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@@ -59,7 +60,7 @@ func (q *Queries) DeleteFile(ctx context.Context, id string) error {
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}
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const getFile = `-- name: GetFile :one
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SELECT id, name, mime_type, size, storage_key, checksum, ocr_text, created_at, updated_at FROM files
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SELECT id, name, mime_type, size, storage_key, checksum, ocr_text, created_at, updated_at, nlp_data FROM files
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WHERE id = ? LIMIT 1
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`
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@@ -76,12 +77,13 @@ func (q *Queries) GetFile(ctx context.Context, id string) (File, error) {
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&i.OcrText,
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&i.CreatedAt,
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&i.UpdatedAt,
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&i.NlpData,
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)
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return i, err
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}
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const listFiles = `-- name: ListFiles :many
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SELECT id, name, mime_type, size, storage_key, checksum, ocr_text, created_at, updated_at FROM files
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SELECT id, name, mime_type, size, storage_key, checksum, ocr_text, created_at, updated_at, nlp_data FROM files
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ORDER BY created_at DESC
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`
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@@ -104,6 +106,7 @@ func (q *Queries) ListFiles(ctx context.Context) ([]File, error) {
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&i.OcrText,
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&i.CreatedAt,
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&i.UpdatedAt,
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&i.NlpData,
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); err != nil {
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return nil, err
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}
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@@ -119,7 +122,7 @@ func (q *Queries) ListFiles(ctx context.Context) ([]File, error) {
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}
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const listFilesByID = `-- name: ListFilesByID :many
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SELECT id, name, mime_type, size, storage_key, checksum, ocr_text, created_at, updated_at FROM files
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SELECT id, name, mime_type, size, storage_key, checksum, ocr_text, created_at, updated_at, nlp_data FROM files
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WHERE id IN (SELECT value FROM json_each(?))
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ORDER BY created_at DESC
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`
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@@ -143,6 +146,7 @@ func (q *Queries) ListFilesByID(ctx context.Context, jsonEach interface{}) ([]Fi
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&i.OcrText,
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&i.CreatedAt,
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&i.UpdatedAt,
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&i.NlpData,
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); err != nil {
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return nil, err
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}
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@@ -179,3 +183,19 @@ func (q *Queries) UpdateFile(ctx context.Context, arg UpdateFileParams) error {
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)
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return err
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}
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const updateNLPData = `-- name: UpdateNLPData :exec
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UPDATE files
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SET nlp_data = ?, updated_at = CURRENT_TIMESTAMP
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WHERE id = ?
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`
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type UpdateNLPDataParams struct {
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NlpData string `json:"nlp_data"`
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ID string `json:"id"`
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}
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func (q *Queries) UpdateNLPData(ctx context.Context, arg UpdateNLPDataParams) error {
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_, err := q.db.ExecContext(ctx, updateNLPData, arg.NlpData, arg.ID)
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return err
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}
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@@ -0,0 +1 @@
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ALTER TABLE files DROP COLUMN nlp_data;
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@@ -0,0 +1 @@
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ALTER TABLE files ADD COLUMN nlp_data TEXT NOT NULL DEFAULT '';
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@@ -18,4 +18,5 @@ type File struct {
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OcrText string `json:"ocr_text"`
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CreatedAt time.Time `json:"created_at"`
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UpdatedAt time.Time `json:"updated_at"`
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NlpData string `json:"nlp_data"`
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}
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@@ -24,3 +24,8 @@ WHERE id = ?;
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-- name: DeleteFile :exec
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DELETE FROM files
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WHERE id = ?;
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-- name: UpdateNLPData :exec
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UPDATE files
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SET nlp_data = ?, updated_at = CURRENT_TIMESTAMP
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WHERE id = ?;
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@@ -64,6 +64,7 @@ func (h *FileHandler) List(c *gin.Context) {
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CreatedAt string `json:"createdAt"`
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MimeType string `json:"mimeType"`
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OcrText string `json:"ocrText,omitempty"`
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NlpData string `json:"nlpData,omitempty"`
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UpdatedAt string `json:"updatedAt"`
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}
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@@ -78,6 +79,7 @@ func (h *FileHandler) List(c *gin.Context) {
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Tags: []string{},
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CreatedAt: f.CreatedAt,
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OcrText: f.OcrText,
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NlpData: f.NlpData,
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UpdatedAt: f.UpdatedAt,
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MimeType: f.MimeType,
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}
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@@ -122,6 +124,7 @@ func (h *FileHandler) Get(c *gin.Context) {
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"createdAt": file.CreatedAt,
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"updatedAt": file.UpdatedAt,
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"ocrText": file.OcrText,
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"nlpData": file.NlpData,
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})
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}
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@@ -7,13 +7,15 @@ import (
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type Handler struct {
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File *FileHandler
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OCR *OCRHandler
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NLP *NLPHandler
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Health *HealthHandler
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}
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func New(fileSvc *service.FileService, ocrSvc *service.OCRService, urlSvc *service.URLService) *Handler {
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func New(fileSvc *service.FileService, ocrSvc *service.OCRService, nlpSvc *service.NLPService, urlSvc *service.URLService) *Handler {
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return &Handler{
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File: &FileHandler{files: fileSvc, urls: urlSvc, ocr: ocrSvc},
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OCR: &OCRHandler{ocr: ocrSvc, files: fileSvc},
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Health: &HealthHandler{ocr: ocrSvc},
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NLP: &NLPHandler{nlp: nlpSvc, files: fileSvc},
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Health: &HealthHandler{ocr: ocrSvc, nlp: nlpSvc},
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}
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}
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@@ -7,8 +7,23 @@ import (
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type HealthHandler struct {
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ocr interface{ HealthCheck() error }
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nlp interface{ HealthCheck() error }
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}
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func (h *HealthHandler) Check(c *gin.Context) {
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api.Success(c, gin.H{"status": "healthy"})
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status := gin.H{"status": "healthy"}
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if err := h.ocr.HealthCheck(); err != nil {
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status["ocr"] = err.Error()
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} else {
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status["ocr"] = "healthy"
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}
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if err := h.nlp.HealthCheck(); err != nil {
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status["nlp"] = err.Error()
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} else {
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status["nlp"] = "healthy"
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}
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api.Success(c, status)
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}
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@@ -0,0 +1,22 @@
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package handler
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import (
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"net/http"
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"github.com/gin-gonic/gin"
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"github.com/vaultdrop/backend/internal/service"
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"github.com/vaultdrop/backend/pkg/api"
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)
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type NLPHandler struct {
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nlp *service.NLPService
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files *service.FileService
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}
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func (h *NLPHandler) CreateJob(c *gin.Context) {
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api.Error(c, http.StatusNotImplemented, "NOT_IMPLEMENTED", "NLP job creation not yet implemented")
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}
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func (h *NLPHandler) GetJobStatus(c *gin.Context) {
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api.Error(c, http.StatusNotFound, "JOB_NOT_FOUND", "NLP job not found")
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}
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@@ -18,4 +18,7 @@ func SetupRoutes(r *gin.Engine, h *Handler) {
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api.POST("/ocr/jobs", h.OCR.CreateJob)
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api.GET("/ocr/jobs/:id", h.OCR.GetJobStatus)
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api.POST("/nlp/jobs", h.NLP.CreateJob)
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api.GET("/nlp/jobs/:id", h.NLP.GetJobStatus)
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}
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@@ -8,6 +8,7 @@ type File struct {
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StorageKey string `json:"-"`
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Checksum string `json:"-"`
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OcrText string `json:"ocrText,omitempty"`
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NlpData string `json:"nlpData,omitempty"`
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CreatedAt string `json:"createdAt"`
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UpdatedAt string `json:"updatedAt"`
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}
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@@ -0,0 +1,80 @@
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package nlp
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import (
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"bytes"
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"encoding/json"
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"fmt"
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"io"
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"net/http"
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"time"
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)
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type Client struct {
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endpoint string
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httpClient *http.Client
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}
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func NewClient(endpoint string) *Client {
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return &Client{
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endpoint: endpoint,
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httpClient: &http.Client{
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Timeout: 60 * time.Second,
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},
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}
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}
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func (c *Client) Analyze(text string) (*AnalyzedFile, error) {
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reqBody, err := json.Marshal(NLPRequest{Text: text})
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if err != nil {
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return nil, fmt.Errorf("marshal request: %w", err)
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}
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resp, err := c.httpClient.Post(
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c.endpoint+"/nlp",
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"application/json",
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bytes.NewReader(reqBody),
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)
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if err != nil {
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return nil, fmt.Errorf("call nlp server: %w", err)
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}
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defer resp.Body.Close()
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body, err := io.ReadAll(resp.Body)
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if err != nil {
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return nil, fmt.Errorf("read response: %w", err)
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}
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if resp.StatusCode != http.StatusOK {
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return nil, fmt.Errorf("nlp server returned %d: %s", resp.StatusCode, string(body))
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}
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var nlpResp NLPResponse
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if err := json.Unmarshal(body, &nlpResp); err != nil {
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return nil, fmt.Errorf("decode response: %w", err)
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}
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if nlpResp.ErrorCode != 0 {
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return nil, fmt.Errorf("nlp error %d: %s", nlpResp.ErrorCode, nlpResp.Message)
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}
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result := &AnalyzedFile{
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Entities: nlpResp.Result.Entities,
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NounChunks: nlpResp.Result.NounChunks,
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Sentences: nlpResp.Result.Sentences,
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}
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return result, nil
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}
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func (c *Client) HealthCheck() error {
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resp, err := c.httpClient.Get(c.endpoint + "/health")
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if err != nil {
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return err
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}
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defer resp.Body.Close()
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if resp.StatusCode != http.StatusOK {
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return fmt.Errorf("health check failed: status %d", resp.StatusCode)
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}
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return nil
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}
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@@ -0,0 +1,41 @@
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package nlp
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type NLPRequest struct {
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Text string `json:"text"`
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}
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type NLPResponse struct {
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ErrorCode int `json:"errorCode"`
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Result NLPResult `json:"result"`
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Message string `json:"message,omitempty"`
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}
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type NLPResult struct {
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Entities []NLPEntity `json:"entities"`
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Tokens []NLPToken `json:"tokens"`
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NounChunks []string `json:"noun_chunks"`
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Sentences []string `json:"sentences"`
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}
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type NLPEntity struct {
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Text string `json:"text"`
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Label string `json:"label"`
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Start int `json:"start"`
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End int `json:"end"`
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Confidence float64 `json:"confidence"`
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}
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type NLPToken struct {
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Text string `json:"text"`
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Lemma string `json:"lemma"`
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POS string `json:"pos"`
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Tag string `json:"tag"`
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Dep string `json:"dep"`
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IsStop bool `json:"is_stop"`
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}
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type AnalyzedFile struct {
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Entities []NLPEntity `json:"entities"`
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NounChunks []string `json:"noun_chunks"`
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Sentences []string `json:"sentences"`
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}
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@@ -33,6 +33,8 @@ func (c *Client) Recognize(imageData []byte) ([]TextBlock, error) {
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switch docType {
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case PDFScanned:
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fmt.Println("PDFScanned -> PaddleOCR")
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case PDFText:
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fmt.Println("PDFText -> PaddleOCR")
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case Image:
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fmt.Println("Image -> PaddleOCR")
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default:
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@@ -113,6 +113,13 @@ func (s *FileService) UpdateOCRText(id, text string) error {
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})
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}
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func (s *FileService) UpdateNLPData(id, nlpData string) error {
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return s.queries.UpdateNLPData(context.Background(), db.UpdateNLPDataParams{
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NlpData: nlpData,
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ID: id,
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})
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}
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func dbToModel(f db.File) model.File {
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return model.File{
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ID: f.ID,
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@@ -122,6 +129,7 @@ func dbToModel(f db.File) model.File {
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StorageKey: f.StorageKey,
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Checksum: f.Checksum,
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OcrText: f.OcrText,
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NlpData: f.NlpData,
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CreatedAt: f.CreatedAt.String(),
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UpdatedAt: f.UpdatedAt.String(),
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}
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@@ -0,0 +1,102 @@
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package service
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import (
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"encoding/json"
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"log"
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"os"
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|
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"github.com/vaultdrop/backend/internal/config"
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"github.com/vaultdrop/backend/internal/nlp"
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)
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type NLPJob struct {
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FileID string
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FilePath string
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OCRText string
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}
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type NLPService struct {
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client *nlp.Client
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fileSvc *FileService
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jobs chan NLPJob
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}
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func NewNLPService(cfg *config.Config, fileSvc *FileService) *NLPService {
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return &NLPService{
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client: nlp.NewClient(cfg.NLPEndpoint),
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fileSvc: fileSvc,
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jobs: make(chan NLPJob, 100),
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}
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}
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func (s *NLPService) Start() {
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go s.worker()
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log.Println("[NLP] Worker started")
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}
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func (s *NLPService) Stop() {
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close(s.jobs)
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log.Println("[NLP] Worker stopped")
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}
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func (s *NLPService) Enqueue(fileID, filePath, ocrText string) {
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s.jobs <- NLPJob{FileID: fileID, FilePath: filePath, OCRText: ocrText}
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log.Printf("[NLP] Enqueued file %s", fileID)
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}
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func (s *NLPService) worker() {
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for job := range s.jobs {
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s.process(job)
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}
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}
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|
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func (s *NLPService) process(job NLPJob) {
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log.Printf("[NLP] Processing file %s", job.FileID)
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text := job.OCRText
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|
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if text == "" {
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data, err := os.ReadFile(job.FilePath)
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if err != nil {
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log.Printf("[NLP] Failed to read file %s: %v", job.FileID, err)
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return
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}
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text = string(data)
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}
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if text == "" {
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log.Printf("[NLP] No text to analyze for file %s, skipping", job.FileID)
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return
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}
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|
||||
result, err := s.client.Analyze(text)
|
||||
if err != nil {
|
||||
log.Printf("[NLP] Failed to analyze file %s: %v", job.FileID, err)
|
||||
return
|
||||
}
|
||||
|
||||
nlpData, err := json.Marshal(result)
|
||||
if err != nil {
|
||||
log.Printf("[NLP] Failed to marshal NLP result for file %s: %v", job.FileID, err)
|
||||
return
|
||||
}
|
||||
|
||||
if err := s.fileSvc.UpdateNLPData(job.FileID, string(nlpData)); err != nil {
|
||||
log.Printf("[NLP] Failed to update nlp_data for file %s: %v", job.FileID, err)
|
||||
return
|
||||
}
|
||||
|
||||
log.Printf("[NLP] Completed file %s (%d entities, %d sentences)", job.FileID, len(result.Entities), len(result.Sentences))
|
||||
}
|
||||
|
||||
func (s *NLPService) AnalyzeText(text string) (*nlp.AnalyzedFile, error) {
|
||||
return s.client.Analyze(text)
|
||||
}
|
||||
|
||||
func (s *NLPService) HealthCheck() error {
|
||||
return s.client.HealthCheck()
|
||||
}
|
||||
|
||||
func (s *NLPService) QueueLength() int {
|
||||
return len(s.jobs)
|
||||
}
|
||||
@@ -17,6 +17,7 @@ type OCRJob struct {
|
||||
type OCRService struct {
|
||||
client *ocr.Client
|
||||
fileSvc *FileService
|
||||
nlpSvc *NLPService
|
||||
jobs chan OCRJob
|
||||
}
|
||||
|
||||
@@ -28,6 +29,10 @@ func NewOCRService(cfg *config.Config, fileSvc *FileService) *OCRService {
|
||||
}
|
||||
}
|
||||
|
||||
func (s *OCRService) SetNLPService(nlpSvc *NLPService) {
|
||||
s.nlpSvc = nlpSvc
|
||||
}
|
||||
|
||||
func (s *OCRService) Start() {
|
||||
go s.worker()
|
||||
log.Println("[OCR] Worker started")
|
||||
@@ -72,6 +77,10 @@ func (s *OCRService) process(job OCRJob) {
|
||||
}
|
||||
|
||||
log.Printf("[OCR] Completed file %s (%d chars)", job.FileID, len(text))
|
||||
|
||||
if s.nlpSvc != nil {
|
||||
s.nlpSvc.Enqueue(job.FileID, job.FilePath, text)
|
||||
}
|
||||
}
|
||||
|
||||
func (s *OCRService) RecognizeFromBytes(data []byte) ([]ocr.TextBlock, error) {
|
||||
|
||||
@@ -0,0 +1,21 @@
|
||||
FROM python:3.10-slim
|
||||
|
||||
RUN apt-get update && apt-get install -y --no-install-recommends \
|
||||
build-essential curl \
|
||||
&& rm -rf /var/lib/apt/lists/*
|
||||
|
||||
RUN pip install --no-cache-dir \
|
||||
spacy \
|
||||
fastapi \
|
||||
uvicorn \
|
||||
python-multipart
|
||||
|
||||
RUN python -m spacy download fr_core_news_md
|
||||
|
||||
COPY server.py /workspace/server.py
|
||||
|
||||
WORKDIR /workspace
|
||||
|
||||
EXPOSE 8080
|
||||
|
||||
CMD ["uvicorn", "server:app", "--host", "0.0.0.0", "--port", "8080"]
|
||||
@@ -0,0 +1,110 @@
|
||||
import os
|
||||
import logging
|
||||
from typing import List, Optional
|
||||
|
||||
import spacy
|
||||
from fastapi import FastAPI
|
||||
from pydantic import BaseModel
|
||||
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
logger = logging.getLogger("nlp-server")
|
||||
|
||||
NLP_MODEL = os.getenv("NLP_MODEL", "fr_core_news_md")
|
||||
|
||||
print(f"[INIT] Loading spaCy model '{NLP_MODEL}'...", flush=True)
|
||||
nlp = spacy.load(NLP_MODEL)
|
||||
print("[INIT] spaCy model ready.", flush=True)
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
|
||||
class NLPRequest(BaseModel):
|
||||
text: str
|
||||
|
||||
|
||||
class Entity(BaseModel):
|
||||
text: str
|
||||
label: str
|
||||
start: int
|
||||
end: int
|
||||
|
||||
|
||||
class NLPEntityResult(BaseModel):
|
||||
text: str
|
||||
label: str
|
||||
start: int
|
||||
end: int
|
||||
confidence: float
|
||||
|
||||
|
||||
class NLPToken(BaseModel):
|
||||
text: str
|
||||
lemma: str
|
||||
pos: str
|
||||
tag: str
|
||||
dep: str
|
||||
is_stop: bool
|
||||
|
||||
|
||||
class NLPResult(BaseModel):
|
||||
entities: List[NLPEntityResult]
|
||||
tokens: List[NLPToken]
|
||||
noun_chunks: List[str]
|
||||
sentences: List[str]
|
||||
|
||||
|
||||
class NLPResponse(BaseModel):
|
||||
errorCode: int
|
||||
result: Optional[NLPResult] = None
|
||||
message: Optional[str] = None
|
||||
|
||||
|
||||
@app.get("/health")
|
||||
def health():
|
||||
return {"status": "healthy", "service": "spaCy NLP Server", "model": NLP_MODEL}
|
||||
|
||||
|
||||
@app.post("/nlp")
|
||||
def analyze(req: NLPRequest):
|
||||
print(f"[NLP] Request received, text length: {len(req.text)}", flush=True)
|
||||
try:
|
||||
doc = nlp(req.text)
|
||||
|
||||
entities = []
|
||||
for ent in doc.ents:
|
||||
entities.append(NLPEntityResult(
|
||||
text=ent.text,
|
||||
label=ent.label_,
|
||||
start=ent.start_char,
|
||||
end=ent.end_char,
|
||||
confidence=0.0,
|
||||
))
|
||||
|
||||
tokens = []
|
||||
for token in doc:
|
||||
tokens.append(NLPToken(
|
||||
text=token.text,
|
||||
lemma=token.lemma_,
|
||||
pos=token.pos_,
|
||||
tag=token.tag_,
|
||||
dep=token.dep_,
|
||||
is_stop=token.is_stop,
|
||||
))
|
||||
|
||||
noun_chunks = [chunk.text for chunk in doc.noun_chunks]
|
||||
|
||||
sentences = [sent.text.strip() for sent in doc.sents]
|
||||
|
||||
result = NLPResult(
|
||||
entities=entities,
|
||||
tokens=tokens,
|
||||
noun_chunks=noun_chunks,
|
||||
sentences=sentences,
|
||||
)
|
||||
|
||||
print(f"[NLP] Done: {len(entities)} entities, {len(tokens)} tokens, {len(sentences)} sentences", flush=True)
|
||||
return {"errorCode": 0, "result": result}
|
||||
|
||||
except Exception as e:
|
||||
logger.exception("NLP analysis failed")
|
||||
return {"errorCode": 2, "message": str(e)}
|
||||
@@ -15,6 +15,22 @@ services:
|
||||
retries: 5
|
||||
start_period: 120s
|
||||
|
||||
spacy-nlp:
|
||||
build:
|
||||
context: ./backend/nlp-server
|
||||
dockerfile: Dockerfile
|
||||
ports:
|
||||
- "9091:8080"
|
||||
environment:
|
||||
- NLP_MODEL=fr_core_news_md
|
||||
restart: unless-stopped
|
||||
healthcheck:
|
||||
test: ["CMD", "curl", "-sf", "http://localhost:8080/health"]
|
||||
interval: 30s
|
||||
timeout: 10s
|
||||
retries: 5
|
||||
start_period: 60s
|
||||
|
||||
# backend:
|
||||
# build:
|
||||
# context: ./backend
|
||||
@@ -25,6 +41,7 @@ services:
|
||||
# - PORT=8080
|
||||
# - DB_PATH=/data/vaultdrop.db
|
||||
# - OCR_ENDPOINT=http://paddleocr:8080
|
||||
# - NLP_ENDPOINT=http://spacy-nlp:8080
|
||||
# volumes:
|
||||
# - backend-data:/data
|
||||
# - ./backend/uploads:/app/uploads
|
||||
|
||||
Reference in New Issue
Block a user