File size: 8,705 Bytes
969573c | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 | from __future__ import annotations
import importlib.util
import threading
import tempfile
import time
import unittest
from pathlib import Path
from unittest.mock import patch
from moss_transcribe_diarize.app.model_runner import TranscriptionResult
FASTAPI_AVAILABLE = importlib.util.find_spec("fastapi") is not None
class FakeRunner:
model_path = "fake-model"
def __init__(self):
self.calls = []
def transcribe(self, audio_path, **kwargs):
self.calls.append(kwargs)
callback = kwargs.get("status_callback")
if callback:
callback("transcribing", 0.5)
return TranscriptionResult(
text="[0][S01]hello[1.5]",
prompt_len=10,
generated_tokens=5,
elapsed_sec=0.01,
model="fake-model",
audio=str(audio_path),
decoding="greedy",
temperature=None,
)
class BlockingRunner:
model_path = "fake-model"
def __init__(self):
self.started = threading.Event()
self.release = threading.Event()
def transcribe(self, audio_path, **kwargs):
callback = kwargs.get("status_callback")
if callback:
callback("transcribing", 0.55, 3)
self.started.set()
self.release.wait(timeout=2)
return TranscriptionResult(
text="[0][S01]hello[1.5]",
prompt_len=10,
generated_tokens=5,
elapsed_sec=0.01,
model="fake-model",
audio=str(audio_path),
decoding="greedy",
temperature=None,
)
@unittest.skipUnless(FASTAPI_AVAILABLE, "fastapi is not installed")
class AppApiTest(unittest.TestCase):
def test_runtime_reports_vllm_backend(self):
from fastapi.testclient import TestClient
from moss_transcribe_diarize.app.server import create_app
with tempfile.TemporaryDirectory() as tmpdir:
app = create_app(
model_path="unused-local-model",
runs_dir=tmpdir,
backend="vllm",
vllm_base_url="http://vllm.test:8000/v1",
vllm_model="moss-served",
)
client = TestClient(app)
runtime = client.get("/api/runtime")
self.assertEqual(runtime.status_code, 200)
model = runtime.json()["model"]
self.assertEqual(model["backend"], "vllm")
self.assertEqual(model["path"], "moss-served")
self.assertEqual(model["base_url"], "http://vllm.test:8000/v1")
def test_job_lifecycle_and_missing_ffmpeg_render_error(self):
from fastapi.testclient import TestClient
from moss_transcribe_diarize.app.server import create_app
with tempfile.TemporaryDirectory() as tmpdir:
app = create_app(model_path="fake-model", runs_dir=tmpdir, max_new_tokens=8)
runner = FakeRunner()
app.state.manager.model_runner = runner
client = TestClient(app)
created = client.post(
"/api/jobs",
files={"file": ("sample.wav", b"audio", "audio/wav")},
data={
"prompt": "custom prompt",
"max_new_tokens": "5",
"max_len": "456",
"decoding": "sample",
"temperature": "0.7",
},
)
self.assertEqual(created.status_code, 200)
job_id = created.json()["id"]
job = {}
for _ in range(40):
job = client.get(f"/api/jobs/{job_id}").json()
if job["status"] == "waiting_review":
break
time.sleep(0.05)
self.assertEqual(job["status"], "waiting_review")
self.assertEqual(job["inference"]["prompt"], "custom prompt")
self.assertEqual(job["inference"]["max_new_tokens"], 5)
self.assertEqual(job["inference"]["max_length"], 456)
self.assertEqual(job["inference"]["decoding"], "sample")
self.assertEqual(job["inference"]["temperature"], 0.7)
self.assertEqual(job["usage"]["generated_tokens"], 5)
self.assertEqual(job["usage"]["max_new_tokens"], 5)
self.assertTrue(job["usage"]["possibly_truncated"])
self.assertEqual(runner.calls[-1]["prompt"], "custom prompt")
self.assertEqual(runner.calls[-1]["max_new_tokens"], 5)
self.assertEqual(runner.calls[-1]["max_length"], 456)
self.assertEqual(runner.calls[-1]["decoding"], "sample")
self.assertEqual(runner.calls[-1]["temperature"], 0.7)
listed = client.get("/api/jobs")
self.assertEqual(listed.status_code, 200)
self.assertEqual(listed.json()["jobs"][0]["id"], job_id)
media = client.get(f"/api/jobs/{job_id}/media")
self.assertEqual(media.status_code, 200)
rerun = client.post(f"/api/jobs/{job_id}/rerun", json={"max_new_tokens": 10})
self.assertEqual(rerun.status_code, 200)
rerun_id = rerun.json()["id"]
self.assertNotEqual(rerun_id, job_id)
rerun_job = {}
for _ in range(40):
rerun_job = client.get(f"/api/jobs/{rerun_id}").json()
if rerun_job["status"] == "waiting_review":
break
time.sleep(0.05)
self.assertEqual(rerun_job["status"], "waiting_review")
self.assertEqual(rerun_job["media_name"], "sample.wav")
self.assertEqual(rerun_job["inference"]["max_new_tokens"], 10)
self.assertEqual(runner.calls[-1]["max_new_tokens"], 10)
segments = client.get(f"/api/jobs/{job_id}/segments").json()["segments"]
self.assertEqual(segments[0]["speaker"], "S01")
segments[0]["text"] = "edited"
updated = client.put(
f"/api/jobs/{job_id}/segments",
json={"segments": segments, "style": {"speaker_names": {"S01": "Alice"}}},
)
self.assertEqual(updated.status_code, 200)
self.assertEqual(updated.json()["segments"][0]["text"], "edited")
self.assertEqual(client.get(f"/api/jobs/{job_id}").json()["subtitle_style"]["speaker_names"]["S01"], "Alice")
download = client.get(f"/api/jobs/{job_id}/download?kind=srt")
self.assertEqual(download.status_code, 200)
self.assertIn("edited", download.text)
self.assertIn("Alice: edited", download.text)
class Missing:
available = False
with patch("moss_transcribe_diarize.app.jobs.detect_ffmpeg", return_value=Missing()):
render = client.post(f"/api/jobs/{job_id}/render", json={"style": {}})
self.assertEqual(render.status_code, 503)
deleted = client.delete(f"/api/jobs/{job_id}")
self.assertEqual(deleted.status_code, 200)
self.assertEqual(client.get(f"/api/jobs/{job_id}").status_code, 404)
def test_running_job_exposes_live_token_progress(self):
from fastapi.testclient import TestClient
from moss_transcribe_diarize.app.server import create_app
with tempfile.TemporaryDirectory() as tmpdir:
app = create_app(model_path="fake-model", runs_dir=tmpdir, max_new_tokens=8)
runner = BlockingRunner()
app.state.manager.model_runner = runner
client = TestClient(app)
created = client.post(
"/api/jobs",
files={"file": ("sample.wav", b"audio", "audio/wav")},
data={"max_new_tokens": "5"},
)
self.assertEqual(created.status_code, 200)
job_id = created.json()["id"]
self.assertTrue(runner.started.wait(timeout=2))
running = client.get(f"/api/jobs/{job_id}").json()
self.assertEqual(running["status"], "transcribing")
self.assertEqual(running["usage"]["generated_tokens"], 3)
self.assertEqual(running["usage"]["max_new_tokens"], 5)
self.assertAlmostEqual(running["progress"], 0.55)
runner.release.set()
finished = {}
for _ in range(40):
finished = client.get(f"/api/jobs/{job_id}").json()
if finished["status"] == "waiting_review":
break
time.sleep(0.05)
self.assertEqual(finished["status"], "waiting_review")
self.assertEqual(finished["usage"]["generated_tokens"], 5)
if __name__ == "__main__":
unittest.main()
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