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Add tests for LoadLabelRules, LabelsFromFile, Labels and LoadModel functions

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This commit is contained in:
Theresa Gresch 2019-07-17 10:48:23 +02:00
parent e782abd7e3
commit 4aa110396e
1 changed files with 124 additions and 52 deletions
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176
internal/photoprism/tensorflow_test.go
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@ -8,29 +8,59 @@ import (
"github.com/stretchr/testify/assert" "github.com/stretchr/testify/assert"
) )
func TestTensorFlow_LoadLabelRules(t *testing.T) {
t.Run("labels.yml exists", func(t *testing.T) {
conf := config.NewTestConfig()
tensorFlow := NewTensorFlow(conf)
result := tensorFlow.loadLabelRules()
assert.Nil(t, result)
})
t.Run("labels.yml not existing in config path", func(t *testing.T) {
conf := config.NewTestErrorConfig()
tensorFlow := NewTensorFlow(conf)
result := tensorFlow.loadLabelRules()
assert.Contains(t, result.Error(), "label rules file not found")
})
}
func TestTensorFlow_LabelsFromFile(t *testing.T) { func TestTensorFlow_LabelsFromFile(t *testing.T) {
conf := config.TestConfig() t.Run("/chameleon_lime.jpg", func(t *testing.T) {
conf := config.TestConfig()
tensorFlow := NewTensorFlow(conf) tensorFlow := NewTensorFlow(conf)
result, err := tensorFlow.LabelsFromFile(conf.ExamplesPath() + "/chameleon_lime.jpg") result, err := tensorFlow.LabelsFromFile(conf.ExamplesPath() + "/chameleon_lime.jpg")
assert.Nil(t, err) assert.Nil(t, err)
if err != nil { if err != nil {
t.Log(err.Error()) t.Log(err.Error())
t.Fail() t.Fail()
} }
assert.NotNil(t, result) assert.NotNil(t, result)
assert.IsType(t, Labels{}, result) assert.IsType(t, Labels{}, result)
assert.Equal(t, 1, len(result)) assert.Equal(t, 1, len(result))
t.Log(result) t.Log(result)
assert.Equal(t, "chameleon", result[0].Name) assert.Equal(t, "chameleon", result[0].Name)
assert.Equal(t, 7, result[0].Uncertainty) assert.Equal(t, 7, result[0].Uncertainty)
})
t.Run("not existing file", func(t *testing.T) {
conf := config.TestConfig()
tensorFlow := NewTensorFlow(conf)
result, err := tensorFlow.LabelsFromFile(conf.ExamplesPath() + "/notexisting.jpg")
assert.Contains(t, err.Error(), "no such file or directory")
assert.Empty(t, result)
})
} }
func TestTensorFlow_Labels(t *testing.T) { func TestTensorFlow_Labels(t *testing.T) {
@ -38,55 +68,97 @@ func TestTensorFlow_Labels(t *testing.T) {
t.Skip("skipping test in short mode.") t.Skip("skipping test in short mode.")
} }
conf := config.TestConfig() t.Run("/chameleon_lime.jpg", func(t *testing.T) {
conf := config.TestConfig()
tensorFlow := NewTensorFlow(conf) tensorFlow := NewTensorFlow(conf)
if imageBuffer, err := ioutil.ReadFile(conf.ExamplesPath() + "/chameleon_lime.jpg"); err != nil { if imageBuffer, err := ioutil.ReadFile(conf.ExamplesPath() + "/chameleon_lime.jpg"); err != nil {
t.Error(err) t.Error(err)
} else { } else {
result, err := tensorFlow.Labels(imageBuffer) result, err := tensorFlow.Labels(imageBuffer)
t.Log(result) t.Log(result)
assert.NotNil(t, result) assert.NotNil(t, result)
assert.Nil(t, err) assert.Nil(t, err)
assert.IsType(t, Labels{}, result) assert.IsType(t, Labels{}, result)
assert.Equal(t, 1, len(result)) assert.Equal(t, 1, len(result))
assert.Equal(t, "chameleon", result[0].Name) assert.Equal(t, "chameleon", result[0].Name)
assert.Equal(t, 100-93, result[0].Uncertainty) assert.Equal(t, 100-93, result[0].Uncertainty)
} }
})
t.Run("/dog_orange.jpg", func(t *testing.T) {
conf := config.TestConfig()
tensorFlow := NewTensorFlow(conf)
if imageBuffer, err := ioutil.ReadFile(conf.ExamplesPath() + "/dog_orange.jpg"); err != nil {
t.Error(err)
} else {
result, err := tensorFlow.Labels(imageBuffer)
t.Log(result)
assert.NotNil(t, result)
assert.Nil(t, err)
assert.IsType(t, Labels{}, result)
assert.Equal(t, 2, len(result))
assert.Equal(t, "chihuahua dog", result[0].Name)
assert.Equal(t, "pembroke dog", result[1].Name)
assert.Equal(t, 34, result[0].Uncertainty)
assert.Equal(t, 91, result[1].Uncertainty)
}
})
t.Run("/Random.docx", func(t *testing.T) {
conf := config.TestConfig()
tensorFlow := NewTensorFlow(conf)
if imageBuffer, err := ioutil.ReadFile(conf.ExamplesPath() + "/Random.docx"); err != nil {
t.Error(err)
} else {
result, err := tensorFlow.Labels(imageBuffer)
assert.Empty(t, result)
assert.Contains(t, err.Error(), "invalid image")
}
})
t.Run("/6720px_white.jpg", func(t *testing.T) {
conf := config.TestConfig()
tensorFlow := NewTensorFlow(conf)
if imageBuffer, err := ioutil.ReadFile(conf.ExamplesPath() + "/6720px_white.jpg"); err != nil {
t.Error(err)
} else {
result, err := tensorFlow.Labels(imageBuffer)
assert.Empty(t, result)
assert.Nil(t, err)
}
})
} }
func TestTensorFlow_Labels_Dog(t *testing.T) { func TestTensorFlow_LoadModel(t *testing.T) {
if testing.Short() { t.Run("model path exists", func(t *testing.T) {
t.Skip("skipping test in short mode.") conf := config.NewTestConfig()
}
conf := config.TestConfig() tensorFlow := NewTensorFlow(conf)
tensorFlow := NewTensorFlow(conf) result := tensorFlow.loadModel()
assert.Nil(t, result)
})
t.Run("model path does not exist", func(t *testing.T) {
conf := config.NewTestErrorConfig()
if imageBuffer, err := ioutil.ReadFile(conf.ExamplesPath() + "/dog_orange.jpg"); err != nil { tensorFlow := NewTensorFlow(conf)
t.Error(err)
} else {
result, err := tensorFlow.Labels(imageBuffer)
t.Log(result) result := tensorFlow.loadModel()
assert.Contains(t, result.Error(), "Could not find SavedModel")
assert.NotNil(t, result) })
assert.Nil(t, err)
assert.IsType(t, Labels{}, result)
assert.Equal(t, 2, len(result))
assert.Equal(t, "chihuahua dog", result[0].Name)
assert.Equal(t, "pembroke dog", result[1].Name)
assert.Equal(t, 34, result[0].Uncertainty)
assert.Equal(t, 91, result[1].Uncertainty)
}
} }