Files
LocalAI/core/http/openai_mapping_test.go
Gregory Mariani 4408ed4f88 feat(api): OpenAI video create enpoint integration (#6777)
* feat: add OpenAI-compatible /v1/videos endpoint

- Add VideoEndpoint handler with OpenAI request mapping
- Add MapOpenAIToVideo function to convert OpenAI format to LocalAI VideoRequest
- Add Swagger documentation for API endpoint
- Add Ginkgo unit tests for mapping logic
- Add Ginkgo integration test with embedded fake backend

Signed-off-by: Greg <marianigregory@pm.me>

* Apply suggestion from @mudler

Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>

* Apply suggestion from @mudler

Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>

* Apply suggestion from @mudler

Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>

* Apply suggestion from @mudler

Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>

* Apply suggestion from @mudler

Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>

* Apply suggestion from @mudler

Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>

---------

Signed-off-by: Greg <marianigregory@pm.me>
Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
Co-authored-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
2025-10-27 10:06:57 +01:00

76 lines
1.8 KiB
Go

package http_test
import (
"encoding/json"
openai "github.com/mudler/LocalAI/core/http/endpoints/openai"
"github.com/mudler/LocalAI/core/schema"
. "github.com/onsi/ginkgo/v2"
. "github.com/onsi/gomega"
)
var _ = Describe("MapOpenAIToVideo", func() {
It("maps size and seconds correctly", func() {
cases := []struct {
name string
input *schema.OpenAIRequest
raw map[string]interface{}
expectsW int32
expectsH int32
expectsF int32
expectsN int32
}{
{
name: "size in input",
input: &schema.OpenAIRequest{
PredictionOptions: schema.PredictionOptions{
BasicModelRequest: schema.BasicModelRequest{Model: "m"},
},
Size: "256x128",
},
expectsW: 256,
expectsH: 128,
},
{
name: "size in raw and seconds as string",
input: &schema.OpenAIRequest{PredictionOptions: schema.PredictionOptions{BasicModelRequest: schema.BasicModelRequest{Model: "m"}}},
raw: map[string]interface{}{"size": "720x480", "seconds": "2"},
expectsW: 720,
expectsH: 480,
expectsF: 30,
expectsN: 60,
},
{
name: "seconds as number and fps override",
input: &schema.OpenAIRequest{PredictionOptions: schema.PredictionOptions{BasicModelRequest: schema.BasicModelRequest{Model: "m"}}},
raw: map[string]interface{}{"seconds": 3.0, "fps": 24.0},
expectsF: 24,
expectsN: 72,
},
}
for _, c := range cases {
By(c.name)
vr := openai.MapOpenAIToVideo(c.input, c.raw)
if c.expectsW != 0 {
Expect(vr.Width).To(Equal(c.expectsW))
}
if c.expectsH != 0 {
Expect(vr.Height).To(Equal(c.expectsH))
}
if c.expectsF != 0 {
Expect(vr.FPS).To(Equal(c.expectsF))
}
if c.expectsN != 0 {
Expect(vr.NumFrames).To(Equal(c.expectsN))
}
b, err := json.Marshal(vr)
Expect(err).ToNot(HaveOccurred())
_ = b
}
})
})