Files
ragflow/internal/entity/models/zhipu-ai_test.go
Jake Armstrong b961810e79 Go: implement OCR in ZhipuAI driver (#15143)
### What problem does this PR solve?

Closes #15142.

ZhipuAI lists `glm-ocr` as an OCR model, but the Go driver still
returned `no such method` from `OCRFile`. This wires the advertised
model to Z.AI's documented `layout_parsing` endpoint and returns the
`md_results` Markdown output through the existing `OCRFileResponse.Text`
field.

This PR also adds focused tests for URL input, raw file-content base64
input, and validation errors.

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
- [ ] New Feature (non-breaking change which adds functionality)
- [ ] Documentation Update
- [ ] Refactoring
- [ ] Performance Improvement
- [ ] Other (please describe):

### Test

- [x] `go test -vet=off ./internal/entity/models -run
'TestZhipuAIOCRFile'`
2026-05-26 10:50:06 +08:00

159 lines
4.6 KiB
Go

package models
import (
"encoding/json"
"net/http"
"net/http/httptest"
"strings"
"testing"
)
func TestZhipuAIOCRFileSendsLayoutParsingRequest(t *testing.T) {
apiKey := "test-key"
modelName := "glm-ocr"
fileURL := "https://example.com/doc.png"
expectedText := "# OCR result"
server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
if r.URL.Path != "/layout_parsing" {
t.Errorf("path = %s, want /layout_parsing", r.URL.Path)
return
}
if r.Method != http.MethodPost {
t.Errorf("method = %s, want POST", r.Method)
return
}
if got := r.Header.Get("Authorization"); got != "Bearer "+apiKey {
t.Errorf("Authorization = %q", got)
return
}
if got := r.Header.Get("Content-Type"); got != "application/json" {
t.Errorf("Content-Type = %q", got)
return
}
var req map[string]string
if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
t.Errorf("decode request: %v", err)
return
}
if req["model"] != modelName {
t.Errorf("model = %q, want %q", req["model"], modelName)
return
}
if req["file"] != fileURL {
t.Errorf("file = %q, want %q", req["file"], fileURL)
return
}
w.Header().Set("Content-Type", "application/json")
_ = json.NewEncoder(w).Encode(map[string]string{"md_results": expectedText})
}))
defer server.Close()
model := NewZhipuAIModel(map[string]string{"default": server.URL}, URLSuffix{OCR: "layout_parsing"})
resp, err := model.OCRFile(&modelName, nil, &fileURL, &APIConfig{ApiKey: &apiKey}, nil)
if err != nil {
t.Fatalf("OCRFile returned error: %v", err)
}
if resp == nil || resp.Text == nil || *resp.Text != expectedText {
t.Fatalf("OCRFile text = %#v, want %q", resp, expectedText)
}
}
func TestZhipuAIOCRFileEncodesContent(t *testing.T) {
apiKey := "test-key"
modelName := "glm-ocr"
content := []byte("sample image bytes")
server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
var req map[string]string
if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
t.Errorf("decode request: %v", err)
return
}
if !strings.HasPrefix(req["file"], "data:text/plain; charset=utf-8;base64,") {
t.Errorf("file = %q, want base64 data URL", req["file"])
return
}
_ = json.NewEncoder(w).Encode(map[string]string{"md_results": "ok"})
}))
defer server.Close()
model := NewZhipuAIModel(map[string]string{"default": server.URL}, URLSuffix{OCR: "layout_parsing"})
if _, err := model.OCRFile(&modelName, content, nil, &APIConfig{ApiKey: &apiKey}, nil); err != nil {
t.Fatalf("OCRFile returned error: %v", err)
}
}
func TestZhipuAIOCRFileDetectsPDFContent(t *testing.T) {
apiKey := "test-key"
modelName := "glm-ocr"
content := []byte("%PDF-1.7 sample")
server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
var req map[string]string
if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
t.Errorf("decode request: %v", err)
return
}
if !strings.HasPrefix(req["file"], "data:application/pdf;base64,") {
t.Errorf("file = %q, want PDF data URL", req["file"])
return
}
_ = json.NewEncoder(w).Encode(map[string]string{"md_results": "ok"})
}))
defer server.Close()
model := NewZhipuAIModel(map[string]string{"default": server.URL}, URLSuffix{OCR: "layout_parsing"})
if _, err := model.OCRFile(&modelName, content, nil, &APIConfig{ApiKey: &apiKey}, nil); err != nil {
t.Fatalf("OCRFile returned error: %v", err)
}
}
func TestZhipuAIOCRFileValidation(t *testing.T) {
apiKey := "test-key"
modelName := "glm-ocr"
fileURL := "https://example.com/doc.png"
model := NewZhipuAIModel(map[string]string{"default": "https://example.com"}, URLSuffix{OCR: "layout_parsing"})
tests := []struct {
name string
modelName *string
fileURL *string
apiConfig *APIConfig
want string
}{
{
name: "missing api key",
modelName: &modelName,
fileURL: &fileURL,
apiConfig: &APIConfig{},
want: "api key is required",
},
{
name: "missing model name",
modelName: nil,
fileURL: &fileURL,
apiConfig: &APIConfig{ApiKey: &apiKey},
want: "model name is required",
},
{
name: "missing file",
modelName: &modelName,
fileURL: nil,
apiConfig: &APIConfig{ApiKey: &apiKey},
want: "file url or content is required",
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
_, err := model.OCRFile(tt.modelName, nil, tt.fileURL, tt.apiConfig, nil)
if err == nil || !strings.Contains(err.Error(), tt.want) {
t.Fatalf("error = %v, want containing %q", err, tt.want)
}
})
}
}