Files
hermes-agent/tests/hermes_cli/test_web_server_speak_stream.py
2026-10-08 17:22:54 +02:00

226 lines
8.6 KiB
Python

"""/api/audio/speak-stream — desktop streaming TTS over WebSocket."""
from __future__ import annotations
import json
import time
from urllib.parse import urlencode
import pytest
from starlette.testclient import TestClient
from starlette.websockets import WebSocketDisconnect
from hermes_cli import web_server
import hermes_cli.web_server_gateway as _web_server_gateway
@pytest.fixture
def stream_client(monkeypatch, _isolate_hermes_home):
previous_auth_required = getattr(web_server.app.state, "auth_required", None)
web_server.app.state.auth_required = False
client = TestClient(web_server.app)
try:
yield client
finally:
close = getattr(client, "close", None)
if close is not None:
close()
if previous_auth_required is None:
if hasattr(web_server.app.state, "auth_required"):
delattr(web_server.app.state, "auth_required")
else:
web_server.app.state.auth_required = previous_auth_required
def _url(token: str | None = None) -> str:
return f"/api/audio/speak-stream?{urlencode({'token': token or web_server._SESSION_TOKEN})}"
class _FakeStreamer:
sample_rate = 24000
channels = 1
def __init__(self, chunks):
self.chunks = chunks
self.requests: list[str] = []
def stream(self, text):
self.requests.append(text)
yield from self.chunks
def _patch_provider(monkeypatch, streamer, cap=4000):
monkeypatch.setattr("tools.tts_streaming.resolve_streaming_provider", lambda cfg: streamer)
monkeypatch.setattr("tools.tts_tool._load_tts_config", dict)
monkeypatch.setattr("tools.tts_tool._get_provider", lambda cfg: "fake")
monkeypatch.setattr("tools.tts_tool._resolve_max_text_length", lambda provider, cfg: cap)
class _RateLearningStreamer(_FakeStreamer):
"""Mimics the OpenAI-compatible streamer: the true PCM rate is only known once
the endpoint's response headers arrive inside stream()."""
def stream(self, text):
self.sample_rate = 44100
yield from super().stream(text)
def test_start_frame_carries_rate_learned_during_first_stream(stream_client, monkeypatch):
streamer = _RateLearningStreamer([b"\x01\x02"])
_patch_provider(monkeypatch, streamer)
with stream_client.websocket_connect(_url()) as conn:
conn.send_text(json.dumps({"text": "Hello there.", "done": True}))
assert conn.receive_json() == {"type": "start", "sample_rate": 44100, "channels": 1}
assert conn.receive_bytes() == b"\x01\x02"
assert conn.receive_json() == {"type": "end"}
def test_streams_pcm_frames_then_end(stream_client, monkeypatch):
streamer = _FakeStreamer([b"\x01\x02\x03\x04", b"\x05\x06"])
_patch_provider(monkeypatch, streamer)
with stream_client.websocket_connect(_url()) as conn:
conn.send_text(json.dumps({"text": "Hello there.", "done": True}))
start = conn.receive_json()
assert start == {"type": "start", "sample_rate": 24000, "channels": 1}
assert conn.receive_bytes() == b"\x01\x02\x03\x04"
assert conn.receive_bytes() == b"\x05\x06"
assert conn.receive_json() == {"type": "end"}
assert streamer.requests == ["Hello there."]
def test_short_cjk_opener_is_synthesized_alone_with_configured_min_len(stream_client, monkeypatch):
"""speak_stream_ws cuts with the requesting profile's tts.streaming.min_len (#96927): a 7-char
CJK opener gets its own provider request instead of riding behind the second sentence."""
streamer = _FakeStreamer([b"\x00\x00"])
_patch_provider(monkeypatch, streamer)
monkeypatch.setattr("tools.tts_tool._load_tts_config", lambda: {"streaming": {"min_len": 6}})
with stream_client.websocket_connect(_url()) as conn:
conn.send_text(json.dumps({"text": "记得,叫团团. 然后我们再说第二句话,这一句要长一些才行. ", "done": True}))
# The start frame is deferred until the first PCM chunk (rate learned from the endpoint).
assert conn.receive_json()["type"] == "start"
while True:
message = conn.receive()
if message.get("bytes") is None:
assert json.loads(message["text"]) == {"type": "end"}
break
assert streamer.requests[0] == "记得,叫团团.", streamer.requests
def test_long_text_is_split_across_provider_requests(stream_client, monkeypatch):
streamer = _FakeStreamer([b"\x00\x00"])
_patch_provider(monkeypatch, streamer, cap=24)
with stream_client.websocket_connect(_url()) as conn:
conn.send_text(
json.dumps(
{"text": "First sentence here. Second sentence here. Third one.", "done": True}
)
)
assert conn.receive_json()["type"] == "start"
# One PCM frame per split piece, then end.
frames = 0
while True:
message = conn.receive()
if message.get("bytes") is not None:
frames += 1
else:
assert json.loads(message["text"]) == {"type": "end"}
break
assert len(streamer.requests) > 1
assert frames == len(streamer.requests)
# Nothing lost in the split: every sentence reached the provider.
joined = " ".join(streamer.requests)
for fragment in ("First sentence here.", "Second sentence here.", "Third one."):
assert fragment in joined
def test_split_text_respects_cap_and_preserves_content():
text = "Alpha beta. Gamma delta epsilon. Zeta eta theta iota kappa."
pieces = _web_server_gateway._split_text_for_speak_stream(text, 30)
assert pieces
assert all(len(piece) <= 30 for piece in pieces)
joined = " ".join(pieces)
for word in text.replace(".", "").split():
assert word in joined
def test_edge_speak_stream_speaks_each_sentence_instead_of_whole_text_fallback(
stream_client, monkeypatch, tmp_path
):
"""Edge has no chunked API, but the documented path is per-sentence sync
synthesis. speak-stream must stream that PCM — not ``type: fallback``,
which makes Desktop POST the whole reply and wait for it.
"""
first = "The first spoken sentence is long enough to stand alone."
second = "The second spoken sentence is also long enough to stand alone."
reply = f"{first} {second}"
pcm = [b"\x11\x00\x22\x00", b"\x33\x00\x44\x00"]
calls: list[str] = []
pcm_for: dict[str, bytes] = {}
def fake_tts(*args, **kwargs):
raw = kwargs.get("text") if "text" in kwargs else (args[0] if args else "")
text = raw if isinstance(raw, str) else ""
calls.append(text)
path = kwargs.get("output_path") or str(tmp_path / f"sent-{len(calls)}.mp3")
# Edge's sync tool writes MP3 bytes, not a WAV container.
with open(path, "wb") as fh:
fh.write(b"ID3not-a-wav")
pcm_for[path] = pcm[len(calls) - 1]
return json.dumps({"success": True, "file_path": path, "file_paths": [path]})
def fake_ffmpeg(_ffmpeg, args, **_kwargs):
import subprocess
path = args[args.index("-i") + 1]
assert "s16le" in args and "pipe:1" in args
return subprocess.CompletedProcess(args, 0, stdout=pcm_for[path], stderr=b"")
monkeypatch.setattr("tools.tts_streaming.resolve_streaming_provider", lambda cfg: None)
monkeypatch.setattr(
"tools.tts_tool._load_tts_config",
lambda: {"provider": "edge", "streaming": {"min_len": 6}},
)
monkeypatch.setattr("tools.tts_tool._get_provider", lambda cfg: "edge")
monkeypatch.setattr("tools.tts_tool._resolve_max_text_length", lambda provider, cfg: 4000)
monkeypatch.setattr("tools.tts_tool.text_to_speech_tool", fake_tts)
monkeypatch.setattr("tools.tts_tool_delivery._ffmpeg_run", fake_ffmpeg)
monkeypatch.setattr("shutil.which", lambda name: "/usr/bin/ffmpeg" if name == "ffmpeg" else None)
with stream_client.websocket_connect(_url()) as conn:
conn.send_text(json.dumps({"text": reply, "done": True}))
frames = []
while True:
message = conn.receive()
if message.get("bytes") is not None:
frames.append(message["bytes"])
continue
frames.append(json.loads(message["text"]))
if frames[-1].get("type") in {"end", "fallback"}:
break
assert {"type": "fallback"} not in frames
assert frames[0] == {"type": "start", "sample_rate": 24000, "channels": 1}
assert frames[-1] == {"type": "end"}
assert frames[1:-1] == pcm
assert len(calls) == 2
assert first in calls[0] and second not in calls[0]
assert second in calls[1] and first not in calls[1]
assert reply not in calls