mirror of
https://github.com/HKUDS/nanobot.git
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7367741ac1
Adds GeminiImageGenerationClient covering both Imagen 4 (:predict) and Gemini Flash (:generateContent), wires the gemini ProviderConfig through the SDK, API server, and gateway entry points, and updates the image-generation docs and skill. Errors from the Gemini endpoints are logged and surface with the HTTP status and parsed message instead of an empty string. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
340 lines
12 KiB
Python
340 lines
12 KiB
Python
from __future__ import annotations
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from pathlib import Path
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from typing import Any
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import httpx
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import pytest
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from nanobot.providers.image_generation import (
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AIHubMixImageGenerationClient,
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GeminiImageGenerationClient,
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GeneratedImageResponse,
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ImageGenerationError,
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OpenRouterImageGenerationClient,
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)
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PNG_BYTES = (
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b"\x89PNG\r\n\x1a\n\x00\x00\x00\rIHDR\x00\x00\x00\x01"
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b"\x00\x00\x00\x01\x08\x04\x00\x00\x00\xb5\x1c\x0c\x02"
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b"\x00\x00\x00\x0bIDATx\xdacd\xfc\xff\x1f\x00\x03\x03"
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b"\x02\x00\xef\xbf\xa7\xdb\x00\x00\x00\x00IEND\xaeB`\x82"
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)
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PNG_DATA_URL = (
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"data:image/png;base64,"
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"iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mP8/x8AAwMCAO+/p9sAAAAASUVORK5CYII="
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)
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class FakeResponse:
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def __init__(
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self,
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payload: dict[str, Any],
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status_code: int = 200,
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content: bytes = b"",
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) -> None:
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self._payload = payload
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self.status_code = status_code
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self.text = str(payload)
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self.content = content
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self.request = httpx.Request("POST", "https://openrouter.ai/api/v1/chat/completions")
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def json(self) -> dict[str, Any]:
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return self._payload
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def raise_for_status(self) -> None:
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if self.status_code >= 400:
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response = httpx.Response(self.status_code, request=self.request, text=self.text)
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raise httpx.HTTPStatusError("failed", request=self.request, response=response)
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class FakeClient:
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def __init__(self, response: FakeResponse) -> None:
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self.response = response
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self.get_response = response
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self.calls: list[dict[str, Any]] = []
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self.get_calls: list[dict[str, Any]] = []
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async def post(self, url: str, **kwargs: Any) -> FakeResponse:
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self.calls.append({"url": url, **kwargs})
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return self.response
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async def get(self, url: str, **kwargs: Any) -> FakeResponse:
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self.get_calls.append({"url": url, **kwargs})
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return self.get_response
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@pytest.mark.asyncio
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async def test_openrouter_image_generation_payload_and_response(tmp_path: Path) -> None:
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ref = tmp_path / "ref.png"
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ref.write_bytes(PNG_BYTES)
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fake = FakeClient(
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FakeResponse(
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{
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"choices": [
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{
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"message": {
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"content": "done",
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"images": [{"image_url": {"url": PNG_DATA_URL}}],
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}
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}
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]
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}
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)
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)
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client = OpenRouterImageGenerationClient(
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api_key="sk-or-test",
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api_base="https://openrouter.ai/api/v1/",
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extra_headers={"X-Test": "1"},
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client=fake, # type: ignore[arg-type]
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)
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response = await client.generate(
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prompt="make this blue",
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model="openai/gpt-5.4-image-2",
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reference_images=[str(ref)],
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aspect_ratio="16:9",
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image_size="2K",
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)
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assert isinstance(response, GeneratedImageResponse)
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assert response.images == [PNG_DATA_URL]
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assert response.content == "done"
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call = fake.calls[0]
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assert call["url"] == "https://openrouter.ai/api/v1/chat/completions"
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assert call["headers"]["Authorization"] == "Bearer sk-or-test"
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assert call["headers"]["X-Test"] == "1"
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body = call["json"]
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assert body["modalities"] == ["image", "text"]
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assert body["image_config"] == {"aspect_ratio": "16:9", "image_size": "2K"}
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assert body["messages"][0]["content"][0] == {"type": "text", "text": "make this blue"}
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assert body["messages"][0]["content"][1]["image_url"]["url"].startswith("data:image/png;base64,")
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@pytest.mark.asyncio
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async def test_openrouter_image_generation_requires_images() -> None:
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fake = FakeClient(FakeResponse({"choices": [{"message": {"content": "text only"}}]}))
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client = OpenRouterImageGenerationClient(api_key="sk-or-test", client=fake) # type: ignore[arg-type]
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with pytest.raises(ImageGenerationError, match="returned no images"):
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await client.generate(prompt="draw", model="model")
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@pytest.mark.asyncio
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async def test_openrouter_image_generation_requires_api_key() -> None:
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client = OpenRouterImageGenerationClient(api_key=None)
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with pytest.raises(ImageGenerationError, match="API key"):
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await client.generate(prompt="draw", model="model")
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@pytest.mark.asyncio
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async def test_aihubmix_image_generation_payload_and_response() -> None:
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raw_b64 = PNG_DATA_URL.removeprefix("data:image/png;base64,")
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fake = FakeClient(FakeResponse({"output": {"b64_json": [{"bytesBase64": raw_b64}]}}))
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client = AIHubMixImageGenerationClient(
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api_key="sk-ahm-test",
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api_base="https://aihubmix.com/v1/",
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extra_headers={"APP-Code": "nanobot"},
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extra_body={"quality": "low"},
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client=fake, # type: ignore[arg-type]
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)
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response = await client.generate(
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prompt="draw a logo",
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model="gpt-image-2-free",
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aspect_ratio="16:9",
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image_size="1K",
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)
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assert response.images == [PNG_DATA_URL]
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call = fake.calls[0]
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assert call["url"] == "https://aihubmix.com/v1/models/openai/gpt-image-2-free/predictions"
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assert call["headers"]["Authorization"] == "Bearer sk-ahm-test"
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assert call["headers"]["APP-Code"] == "nanobot"
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assert call["json"] == {
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"input": {
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"prompt": "draw a logo",
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"n": 1,
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"size": "1536x1024",
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"quality": "low",
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}
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}
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@pytest.mark.asyncio
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async def test_aihubmix_image_edit_payload_uses_reference_images(tmp_path: Path) -> None:
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raw_b64 = PNG_DATA_URL.removeprefix("data:image/png;base64,")
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fake = FakeClient(FakeResponse({"output": [{"b64_json": raw_b64}]}))
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ref = tmp_path / "ref.png"
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ref.write_bytes(PNG_BYTES)
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client = AIHubMixImageGenerationClient(
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api_key="sk-ahm-test",
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client=fake, # type: ignore[arg-type]
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)
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response = await client.generate(
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prompt="edit this",
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model="gpt-image-2-free",
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reference_images=[str(ref)],
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aspect_ratio="1:1",
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)
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assert response.images == [PNG_DATA_URL]
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call = fake.calls[0]
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assert call["url"] == "https://aihubmix.com/v1/models/openai/gpt-image-2-free/predictions"
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assert call["json"]["input"]["prompt"] == "edit this"
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assert call["json"]["input"]["n"] == 1
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assert call["json"]["input"]["size"] == "1024x1024"
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assert call["json"]["input"]["image"].startswith("data:image/png;base64,")
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@pytest.mark.asyncio
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async def test_aihubmix_image_generation_downloads_url_response() -> None:
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fake = FakeClient(FakeResponse({"data": [{"url": "https://cdn.example/image.png"}]}))
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fake.get_response = FakeResponse({}, content=PNG_BYTES)
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client = AIHubMixImageGenerationClient(
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api_key="sk-ahm-test",
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client=fake, # type: ignore[arg-type]
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)
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response = await client.generate(prompt="draw", model="gpt-image-2-free")
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assert response.images[0].startswith("data:image/png;base64,")
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assert fake.get_calls[0]["url"] == "https://cdn.example/image.png"
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RAW_B64 = PNG_DATA_URL.removeprefix("data:image/png;base64,")
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@pytest.mark.asyncio
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async def test_gemini_imagen_payload_and_response() -> None:
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fake = FakeClient(
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FakeResponse({"predictions": [{"bytesBase64Encoded": RAW_B64, "mimeType": "image/png"}]})
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)
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client = GeminiImageGenerationClient(
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api_key="AIza-test",
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api_base="https://generativelanguage.googleapis.com/v1beta",
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client=fake, # type: ignore[arg-type]
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)
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response = await client.generate(
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prompt="a sunset",
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model="imagen-4.0-generate-001",
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aspect_ratio="16:9",
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)
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assert response.images == [PNG_DATA_URL]
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assert response.content == ""
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call = fake.calls[0]
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assert call["url"].endswith(":predict")
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assert call["headers"]["x-goog-api-key"] == "AIza-test"
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assert "params" not in call
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body = call["json"]
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assert body["instances"] == [{"prompt": "a sunset"}]
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assert body["parameters"]["sampleCount"] == 1
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assert body["parameters"]["aspectRatio"] == "16:9"
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@pytest.mark.asyncio
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async def test_gemini_imagen_ignores_unsupported_aspect_ratio() -> None:
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fake = FakeClient(
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FakeResponse({"predictions": [{"bytesBase64Encoded": RAW_B64, "mimeType": "image/png"}]})
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)
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client = GeminiImageGenerationClient(api_key="AIza-test", client=fake) # type: ignore[arg-type]
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await client.generate(prompt="a sunset", model="imagen-4.0-generate-001", aspect_ratio="2:3")
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body = fake.calls[0]["json"]
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assert "aspectRatio" not in body["parameters"]
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@pytest.mark.asyncio
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async def test_gemini_flash_payload_and_response() -> None:
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fake = FakeClient(
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FakeResponse(
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{
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"candidates": [
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{
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"content": {
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"parts": [
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{"text": "here is your image"},
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{"inlineData": {"mimeType": "image/png", "data": RAW_B64}},
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]
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}
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}
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]
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}
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)
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)
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client = GeminiImageGenerationClient(
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api_key="AIza-test",
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api_base="https://generativelanguage.googleapis.com/v1beta",
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client=fake, # type: ignore[arg-type]
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)
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response = await client.generate(
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prompt="draw a cat",
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model="gemini-2.0-flash-preview-image-generation",
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)
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assert response.images == [PNG_DATA_URL]
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assert response.content == "here is your image"
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call = fake.calls[0]
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assert call["url"].endswith(":generateContent")
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assert call["headers"]["x-goog-api-key"] == "AIza-test"
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assert "params" not in call
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body = call["json"]
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assert body["generationConfig"]["responseModalities"] == ["TEXT", "IMAGE"]
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assert body["contents"][0]["parts"][-1] == {"text": "draw a cat"}
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@pytest.mark.asyncio
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async def test_gemini_flash_reference_images(tmp_path: Path) -> None:
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ref = tmp_path / "ref.png"
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ref.write_bytes(PNG_BYTES)
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fake = FakeClient(
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FakeResponse(
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{
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"candidates": [
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{
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"content": {
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"parts": [{"inlineData": {"mimeType": "image/png", "data": RAW_B64}}]
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}
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}
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]
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}
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)
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)
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client = GeminiImageGenerationClient(api_key="AIza-test", client=fake) # type: ignore[arg-type]
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response = await client.generate(
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prompt="edit this",
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model="gemini-2.0-flash-preview-image-generation",
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reference_images=[str(ref)],
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)
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assert response.images == [PNG_DATA_URL]
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parts = fake.calls[0]["json"]["contents"][0]["parts"]
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assert parts[0]["inlineData"]["mimeType"] == "image/png"
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assert parts[0]["inlineData"]["data"].startswith("iVBOR")
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assert parts[1] == {"text": "edit this"}
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@pytest.mark.asyncio
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async def test_gemini_requires_api_key() -> None:
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client = GeminiImageGenerationClient(api_key=None)
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with pytest.raises(ImageGenerationError, match="API key"):
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await client.generate(prompt="draw", model="imagen-4.0-generate-001")
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@pytest.mark.asyncio
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async def test_gemini_no_images_raises() -> None:
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fake = FakeClient(FakeResponse({"candidates": [{"content": {"parts": [{"text": "sorry"}]}}]}))
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client = GeminiImageGenerationClient(api_key="AIza-test", client=fake) # type: ignore[arg-type]
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with pytest.raises(ImageGenerationError, match="returned no images"):
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await client.generate(prompt="draw", model="gemini-2.0-flash-preview-image-generation")
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