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c8c0dd75ff
* feat(ocr): implement OCR provider interface and add Google Document AI and LLM providers * chore(deps): reorder dependencies in go.mod for better readability * chore: update version numbers and adjust Docker configuration for Google Document AI integration * feat(logging): add structured logging to Google Document AI and LLM providers * chore: add placeholder file to maintain directory structure in web-app/dist * chore(docker): remove Google Application Credentials configuration from docker-compose
118 lines
3.5 KiB
Go
118 lines
3.5 KiB
Go
package ocr
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import (
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"context"
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"fmt"
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documentai "cloud.google.com/go/documentai/apiv1"
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"cloud.google.com/go/documentai/apiv1/documentaipb"
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"github.com/gabriel-vasile/mimetype"
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"github.com/sirupsen/logrus"
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"google.golang.org/api/option"
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)
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// GoogleDocAIProvider implements OCR using Google Document AI
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type GoogleDocAIProvider struct {
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projectID string
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location string
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processorID string
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client *documentai.DocumentProcessorClient
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}
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func newGoogleDocAIProvider(config Config) (*GoogleDocAIProvider, error) {
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logger := log.WithFields(logrus.Fields{
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"location": config.GoogleLocation,
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"processor_id": config.GoogleProcessorID,
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})
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logger.Info("Creating new Google Document AI provider")
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ctx := context.Background()
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endpoint := fmt.Sprintf("%s-documentai.googleapis.com:443", config.GoogleLocation)
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client, err := documentai.NewDocumentProcessorClient(ctx, option.WithEndpoint(endpoint))
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if err != nil {
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logger.WithError(err).Error("Failed to create Document AI client")
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return nil, fmt.Errorf("error creating Document AI client: %w", err)
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}
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provider := &GoogleDocAIProvider{
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projectID: config.GoogleProjectID,
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location: config.GoogleLocation,
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processorID: config.GoogleProcessorID,
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client: client,
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}
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logger.Info("Successfully initialized Google Document AI provider")
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return provider, nil
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}
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func (p *GoogleDocAIProvider) ProcessImage(ctx context.Context, imageContent []byte) (string, error) {
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logger := log.WithFields(logrus.Fields{
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"project_id": p.projectID,
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"location": p.location,
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"processor_id": p.processorID,
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})
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logger.Debug("Starting Document AI processing")
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// Detect MIME type
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mtype := mimetype.Detect(imageContent)
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logger.WithField("mime_type", mtype.String()).Debug("Detected file type")
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if !isImageMIMEType(mtype.String()) {
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logger.WithField("mime_type", mtype.String()).Error("Unsupported file type")
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return "", fmt.Errorf("unsupported file type: %s", mtype.String())
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}
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name := fmt.Sprintf("projects/%s/locations/%s/processors/%s", p.projectID, p.location, p.processorID)
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req := &documentaipb.ProcessRequest{
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Name: name,
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Source: &documentaipb.ProcessRequest_RawDocument{
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RawDocument: &documentaipb.RawDocument{
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Content: imageContent,
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MimeType: mtype.String(),
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},
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},
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}
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logger.Debug("Sending request to Document AI")
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resp, err := p.client.ProcessDocument(ctx, req)
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if err != nil {
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logger.WithError(err).Error("Failed to process document")
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return "", fmt.Errorf("error processing document: %w", err)
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}
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if resp == nil || resp.Document == nil {
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logger.Error("Received nil response or document from Document AI")
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return "", fmt.Errorf("received nil response or document from Document AI")
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}
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if resp.Document.Error != nil {
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logger.WithField("error", resp.Document.Error.Message).Error("Document processing error")
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return "", fmt.Errorf("document processing error: %s", resp.Document.Error.Message)
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}
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logger.WithField("content_length", len(resp.Document.Text)).Info("Successfully processed document")
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return resp.Document.Text, nil
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}
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// isImageMIMEType checks if the given MIME type is a supported image type
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func isImageMIMEType(mimeType string) bool {
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supportedTypes := map[string]bool{
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"image/jpeg": true,
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"image/jpg": true,
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"image/png": true,
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"image/tiff": true,
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"image/bmp": true,
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"application/pdf": true,
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}
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return supportedTypes[mimeType]
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}
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// Close releases resources used by the provider
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func (p *GoogleDocAIProvider) Close() error {
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if p.client != nil {
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return p.client.Close()
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}
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return nil
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}
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