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5aaf5ba | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 | import os
from collections.abc import AsyncIterator
from contextlib import asynccontextmanager
from pathlib import Path
from types import SimpleNamespace
import pytest
from fastapi.testclient import TestClient
os.environ["DATABASE_URL"] = "sqlite:///./data/test_gargi_ai.db"
os.environ["GEMINI_API_KEY"] = "test-key"
from gargi_ai.config import get_settings # noqa: E402
from gargi_ai.database import Base, engine # noqa: E402
from gargi_ai.main import app # noqa: E402
from gargi_ai.providers import LiveProvider, LLMProvider, TTSProvider # noqa: E402
from gargi_ai.schemas import QuizQuestion, TeachingPayload, WhiteboardBlock # noqa: E402
class FakeLLM(LLMProvider):
async def stream_explanation(self, prompt: str) -> AsyncIterator[str]:
yield "Gravity "
yield "pulls objects together."
async def generate_artifact(self, prompt: str) -> TeachingPayload:
return TeachingPayload(
spoken_explanation="Gravity pulls objects together.",
summary="Gravity is an attractive force.",
whiteboard_blocks=[
WhiteboardBlock(type="heading", content="Gravity"),
WhiteboardBlock(type="equation", content="F = Gm1m2/r^2"),
],
quiz=[
QuizQuestion(
id="q1",
type="multiple_choice",
question="What does gravity do?",
options=["Attracts", "Repels"],
expected_answer="Attracts",
explanation="Masses attract.",
),
QuizQuestion(
id="q2",
type="multiple_choice",
question="Which has gravity?",
options=["Mass", "Nothing"],
expected_answer="Mass",
explanation="All mass gravitates.",
),
QuizQuestion(
id="q3",
type="short_answer",
question="Name the force.",
expected_answer="Gravity",
explanation="The force is gravity.",
),
],
detected_misconceptions=[],
learner_level_update="beginner",
suggested_follow_up="Explore orbits.",
)
class FakeTTS(TTSProvider):
def __init__(self, audio_dir: Path):
self.audio_dir = audio_dir
async def synthesize(self, text: str, voice: str):
audio_id = "11111111-1111-1111-1111-111111111111"
output = self.audio_dir / f"{audio_id}.mp3"
output.parent.mkdir(parents=True, exist_ok=True)
output.write_bytes(b"fake-mp3")
return audio_id, output
class FakeLiveSession:
def __init__(self):
self.received_audio = False
self.delivered = False
async def send_realtime_input(self, **kwargs):
if kwargs.get("audio"):
self.received_audio = True
async def receive(self):
while not self.received_audio or self.delivered:
import asyncio
await asyncio.sleep(0.01)
self.delivered = True
part = SimpleNamespace(
inline_data=SimpleNamespace(data=b"fake-live-pcm")
)
content = SimpleNamespace(
input_transcription=SimpleNamespace(text="Why does gravity work?"),
output_transcription=SimpleNamespace(
text="Gravity attracts objects with mass."
),
model_turn=SimpleNamespace(parts=[part]),
interrupted=False,
turn_complete=True,
)
yield SimpleNamespace(server_content=content)
class FakeLive(LiveProvider):
@asynccontextmanager
async def connect(self, system_instruction: str):
yield FakeLiveSession()
@pytest.fixture
def client():
settings = get_settings()
Base.metadata.drop_all(bind=engine)
settings.audio_dir.mkdir(parents=True, exist_ok=True)
with TestClient(app) as test_client:
app.state.llm = FakeLLM()
app.state.tts = FakeTTS(settings.audio_dir)
app.state.live = FakeLive()
yield test_client
Base.metadata.drop_all(bind=engine)
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