Files
ai-video-fullstack/backend/tests/test_user_input.py

87 lines
2.9 KiB
Python

import unittest
from pipecat.frames.frames import LLMMessagesAppendFrame, UserImageRawFrame
from services.pipecat.pipeline import _multimodal_user_input_frame
from services.pipecat.processors import UserInputError, parse_user_input
class UserInputParserTests(unittest.TestCase):
def test_parses_text_and_current_camera_frame(self):
value = parse_user_input(
{
"type": "user-input",
"schema_version": 1,
"input_id": "input_1",
"parts": [
{"type": "input_text", "text": "帮我看看"},
{
"type": "input_image",
"source": {
"type": "camera_frame",
"frame": "current",
},
},
],
"options": {
"run_immediately": True,
"interrupt": True,
},
}
)
self.assertIsNotNone(value)
self.assertEqual(value.text, "帮我看看")
self.assertTrue(value.has_camera_frame)
self.assertEqual(value.transcript_text, "帮我看看\n已发送一张图片")
def test_rejects_legacy_and_unsupported_image_sources(self):
self.assertIsNone(parse_user_input({"type": "user-text", "text": "旧协议"}))
with self.assertRaisesRegex(UserInputError, "当前摄像头"):
parse_user_input(
{
"type": "user-input",
"schema_version": 1,
"input_id": "input_2",
"parts": [
{
"type": "input_image",
"source": {
"type": "uploaded_asset",
"asset_id": "asset_1",
},
}
],
}
)
def test_native_image_uses_the_standard_multimodal_user_turn_path(self):
image = UserImageRawFrame(
image=bytes([220, 40, 40] * 16 * 16),
size=(16, 16),
format="RGB",
)
frame = _multimodal_user_input_frame(
image,
"请根据用户刚提交的图片进行回复。",
)
self.assertIsInstance(frame, LLMMessagesAppendFrame)
self.assertTrue(frame.run_llm)
self.assertEqual(frame.messages[0]["role"], "user")
content = frame.messages[0]["content"]
self.assertEqual(
content[0],
{"type": "text", "text": "请根据用户刚提交的图片进行回复。"},
)
self.assertEqual(content[1]["type"], "image_url")
self.assertTrue(
content[1]["image_url"]["url"].startswith(
"data:image/jpeg;base64,"
)
)
if __name__ == "__main__":
unittest.main()