Files
discord_bot/tests/test_spec_img.py

88 lines
4.4 KiB
Python

"""Unit coverage for SPEC-004 image generation (IMG-01..05)."""
import base64
import unittest
from unittest.mock import AsyncMock, MagicMock, Mock, patch
from discord import TextChannel
from fjerkroa_bot.ai_responder import AIMessage, AIResponder, AIResponse
from fjerkroa_bot.openai_responder import OpenAIResponder
from .test_bdd_envelope import FakeModelResponder, envelope
from .test_spec_ops import OpsBase
RESPONDER_CONFIG = {"openai-token": "t", "model": "m", "system": "s", "history-limit": 5}
def image_api_result(count):
return Mock(data=[Mock(b64_json=base64.b64encode(f"png{i}".encode()).decode()) for i in range(count)])
class TestBase64Generation(unittest.IsolatedAsyncioTestCase):
async def test_draw_returns_decoded_buffers_and_meters(self):
"""IMG-01: count images decoded from b64_json, each metered in the ledger."""
responder = OpenAIResponder(RESPONDER_CONFIG, "chat")
with patch("fjerkroa_bot.openai_responder.openai_image", new_callable=AsyncMock) as image_mock:
image_mock.return_value = image_api_result(2)
buffers = await responder.draw_openai("en katt på brygga", 2)
self.assertEqual([buf.read() for buf in buffers], [b"png0", b"png1"])
self.assertEqual(responder.ledger.images_today(), 2)
self.assertEqual(image_mock.await_args.kwargs["n"], 2)
self.assertEqual(image_mock.await_args.kwargs["model"], "gpt-image-2")
self.assertNotIn("response_format", image_mock.await_args.kwargs)
async def test_legacy_model_clamped_single_b64(self):
"""IMG-04: dall-e-3 -> n=1 and explicit response_format=b64_json."""
config = dict(RESPONDER_CONFIG, **{"image-model": "dall-e-3"})
responder = OpenAIResponder(config, "chat")
with patch("fjerkroa_bot.openai_responder.openai_image", new_callable=AsyncMock) as image_mock:
image_mock.return_value = image_api_result(1)
buffers = await responder.draw_openai("a cat", 3)
self.assertEqual(len(buffers), 1)
self.assertEqual(image_mock.await_args.kwargs["n"], 1)
self.assertEqual(image_mock.await_args.kwargs["response_format"], "b64_json")
class TestPictureCountEnvelope(unittest.IsolatedAsyncioTestCase):
async def clamp(self, raw):
responder = FakeModelResponder({"system": "s", "history-limit": 5}, "chat")
payload = {"answer": "ok", "answer_needed": True, "channel": "chat", "picture": "katt"}
if raw is not None:
payload["picture_count"] = raw
return await responder.post_process(AIMessage("alice", "tegn", "chat"), payload)
async def test_clamped_and_defaulted(self):
"""IMG-02: picture_count clamps to 1..4, defaults to 1 when absent."""
self.assertEqual((await self.clamp(3)).picture_count, 3)
self.assertEqual((await self.clamp(9)).picture_count, 4)
self.assertEqual((await self.clamp(0)).picture_count, 1)
self.assertEqual((await self.clamp(None)).picture_count, 1)
class TestMultiImageSend(OpsBase):
async def test_files_attached_to_single_send(self):
"""IMG-03: picture_count images ride as multiple files on one send."""
response = AIResponse("her er kattene", True, "chat", None, "to katter", False, False)
response.picture_count = 2
import io
self.bot.airesponder.draw = AsyncMock(return_value=[io.BytesIO(b"a"), io.BytesIO(b"b")])
channel = MagicMock(spec=TextChannel)
channel.send = AsyncMock()
await self.bot.send_answer_with_typing(response, channel, self.bot.airesponder, factual=True)
self.bot.airesponder.draw.assert_awaited_once_with("to katter", 2)
files = channel.send.await_args.kwargs["files"]
self.assertEqual(len(files), 2)
class TestNoTranslateStep(unittest.IsolatedAsyncioTestCase):
async def test_translate_is_gone_prompt_untouched(self):
"""IMG-05: no translate() anywhere; the picture prompt survives verbatim."""
responder = FakeModelResponder({"system": "s", "history-limit": 5}, "chat")
self.assertFalse(hasattr(responder, "translate"))
self.assertFalse(hasattr(AIResponder, "translate"))
responder.scripted.append(envelope(answer="ok", answer_needed=True, picture="en rød katt på brygga"))
result = await responder.send(AIMessage("alice", "tegn en katt", "chat"))
self.assertEqual(result.picture, "en rød katt på brygga")