238 lines
7.8 KiB
Python
238 lines
7.8 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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"""End-to-end WebSocket smoke for the streaming server skeleton.
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Uses a mock generator so these tests run CPU-only (no GPU, no model
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weights). Skips the fMP4 assertions when ``ffmpeg`` is missing.
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"""
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from __future__ import annotations
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import shutil
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from dataclasses import dataclass
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from typing import Any
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import numpy as np
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import pytest
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pytest.importorskip("starlette")
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from starlette.testclient import TestClient # noqa: E402
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from fastvideo.api.schema import ( # noqa: E402
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ContinuationState,
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GeneratorConfig,
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SamplingConfig,
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ServeConfig,
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StreamingConfig,
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GenerationRequest,
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)
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from fastvideo.entrypoints.streaming.server import build_app # noqa: E402
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_FFMPEG_AVAILABLE = shutil.which("ffmpeg") is not None
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@dataclass
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class _MockGenerator:
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width: int = 64
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height: int = 64
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fps: int = 12
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num_frames: int = 12
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return_state: bool = True
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def generate(self, request: GenerationRequest) -> dict[str, Any]:
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frames = [
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np.full((self.height, self.width, 3), i * 5, dtype=np.uint8)
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for i in range(self.num_frames)
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]
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state = (ContinuationState(
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kind="ltx2.v1",
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payload={
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"schema_version": 1,
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"segment_index": 0,
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"source_prompt": request.prompt,
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},
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) if self.return_state else None)
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return {
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"frames": frames,
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"audio_sample_rate": 24000,
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"state": state,
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}
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def _build_serve_config() -> ServeConfig:
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return ServeConfig(
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generator=GeneratorConfig(model_path="/models/fake"),
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default_request=GenerationRequest(
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sampling=SamplingConfig(
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num_frames=12,
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height=64,
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width=64,
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fps=12,
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num_inference_steps=1,
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),
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),
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streaming=StreamingConfig(
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session_timeout_seconds=60,
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generation_segment_cap=2,
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),
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)
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def _build_client() -> tuple[TestClient, _MockGenerator]:
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generator = _MockGenerator()
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app = build_app(_build_serve_config(), generator)
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return TestClient(app), generator
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class TestHealth:
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def test_health_endpoint_reports_stream_mode(self):
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client, _ = _build_client()
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response = client.get("/health")
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assert response.status_code == 200
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body = response.json()
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assert body["status"] == "ok"
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assert body["stream_mode"] == "av_fmp4"
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assert body["sessions"] == 0
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class TestSessionHandshake:
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def test_rejects_non_session_init_opening_frame(self):
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client, _ = _build_client()
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with client.websocket_connect("/v1/stream") as ws:
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ws.send_json({"type": "segment_prompt_source", "prompt": "x"})
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err = ws.receive_json()
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assert err["type"] == "error"
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assert err["code"] == "invalid_message"
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def test_rejects_unknown_message_on_init(self):
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client, _ = _build_client()
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with client.websocket_connect("/v1/stream") as ws:
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ws.send_json({"type": "not_a_message"})
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err = ws.receive_json()
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assert err["type"] == "error"
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def test_emits_queue_and_gpu_assigned_on_valid_init(self):
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client, _ = _build_client()
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with client.websocket_connect("/v1/stream") as ws:
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ws.send_json({
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"type": "session_init_v2",
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"preset": "ltx2_two_stage",
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"curated_prompts": ["a fox"],
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})
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assert ws.receive_json()["type"] == "queue_status"
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assert ws.receive_json()["type"] == "gpu_assigned"
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assert ws.receive_json()["type"] == "ltx2_stream_start"
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def test_init_hydrates_continuation_state(self):
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client, _ = _build_client()
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with client.websocket_connect("/v1/stream") as ws:
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ws.send_json({
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"type": "session_init_v2",
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"preset": "ltx2_two_stage",
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"continuation_state": {
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"kind": "ltx2.v1",
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"payload": {"schema_version": 1, "segment_index": 3},
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},
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})
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# Drain handshake frames
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ws.receive_json() # queue_status
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ws.receive_json() # gpu_assigned
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ws.receive_json() # ltx2_stream_start
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# Ask the server for the state back; it should echo what we sent.
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ws.send_json({"type": "snapshot_state"})
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snap = ws.receive_json()
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assert snap["type"] == "continuation_state_snapshot"
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assert snap["state"]["kind"] == "ltx2.v1"
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assert snap["state"]["payload"]["segment_index"] == 3
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@pytest.mark.skipif(not _FFMPEG_AVAILABLE, reason="ffmpeg not installed")
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class TestSegmentFlow:
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def test_segment_generates_media_init_plus_complete(self):
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client, generator = _build_client()
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with client.websocket_connect("/v1/stream") as ws:
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ws.send_json({"type": "session_init_v2",
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"preset": "ltx2_two_stage"})
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for _ in range(3):
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ws.receive_json() # queue_status + gpu_assigned + stream_start
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ws.send_json({
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"type": "segment_prompt_source",
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"prompt": "a test segment",
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"num_inference_steps": 1,
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})
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start = ws.receive_json()
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assert start["type"] == "ltx2_segment_start"
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assert start["segment_idx"] == 0
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step = ws.receive_json()
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assert step["type"] == "step_complete"
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media_init = ws.receive_json()
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assert media_init["type"] == "media_init"
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# Then one or more binary frames until media_segment_complete.
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saw_binary = False
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while True:
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msg = ws.receive()
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if "bytes" in msg and msg["bytes"]:
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saw_binary = True
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continue
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parsed = _as_json(msg)
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if parsed is None:
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continue
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if parsed["type"] == "media_segment_complete":
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break
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assert saw_binary
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final = ws.receive_json()
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assert final["type"] == "ltx2_segment_complete"
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assert final["segment_idx"] == 0
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class TestContinuationStatePersistence:
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def test_snapshot_after_segment_carries_generator_state(self):
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if not _FFMPEG_AVAILABLE:
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pytest.skip("ffmpeg not installed")
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client, generator = _build_client()
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with client.websocket_connect("/v1/stream") as ws:
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ws.send_json({"type": "session_init_v2",
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"preset": "ltx2_two_stage"})
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for _ in range(3):
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ws.receive_json()
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ws.send_json({
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"type": "segment_prompt_source",
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"prompt": "a cat",
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"num_inference_steps": 1,
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})
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_drain_until(ws, "ltx2_segment_complete")
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ws.send_json({"type": "snapshot_state"})
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snap = ws.receive_json()
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assert snap["type"] == "continuation_state_snapshot"
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assert snap["state"]["kind"] == "ltx2.v1"
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assert snap["state"]["payload"]["source_prompt"] == "a cat"
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# ----------------------------------------------------------------------
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# Helpers
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# ----------------------------------------------------------------------
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def _drain_until(ws, target_type: str) -> dict[str, Any]:
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while True:
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msg = ws.receive()
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if "text" in msg and msg["text"]:
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import json
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parsed = json.loads(msg["text"])
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if parsed.get("type") == target_type:
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return parsed
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# skip binary / other
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def _as_json(msg: dict[str, Any]) -> dict[str, Any] | None:
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if "text" not in msg or not msg["text"]:
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return None
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import json
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return json.loads(msg["text"])
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