feat(tools): batch tree build orchestration with shared API semaphore
This commit is contained in:
@@ -5,9 +5,14 @@
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from __future__ import annotations
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import argparse
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import asyncio
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import json
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import sys
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from pathlib import Path
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import pytest
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PROJECT_ROOT = Path(__file__).resolve().parent.parent.parent
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if str(PROJECT_ROOT) not in sys.path:
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sys.path.insert(0, str(PROJECT_ROOT))
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@@ -17,6 +22,8 @@ from tools.build_trees import ( # noqa: E402
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_discover_pending,
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_find_srt_entries,
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_tree_is_complete,
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load_progress,
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main_async,
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)
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@@ -106,3 +113,121 @@ class TestFindSrtEntries:
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def test_missing_returns_none(self, tmp_path: Path) -> None:
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"""无同名 .srt 返回 None。"""
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assert _find_srt_entries(tmp_path / "vid.mp4", tmp_path) is None
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# ── 编排集成(桩 builder,无真实视频/LLM)──────────────────────
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class _StubBuilder:
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"""记录并发与注入信号量的桩 builder。"""
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instances: list[_StubBuilder] = []
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inflight = 0
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max_inflight = 0
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def __init__(self, vlm, llm, config, *, api_semaphore=None) -> None:
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"""记录注入的 api_semaphore 并登记实例。"""
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self.api_semaphore = api_semaphore
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_StubBuilder.instances.append(self)
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async def build_async(self, video_path: str, srt_entries=None) -> TreeIndex:
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"""模拟建树:短暂 sleep 并统计并发峰值,返回最小合法树。"""
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_StubBuilder.inflight += 1
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_StubBuilder.max_inflight = max(_StubBuilder.max_inflight, _StubBuilder.inflight)
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await asyncio.sleep(0.02)
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_StubBuilder.inflight -= 1
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l1 = L1Node(
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id="x_L1_000",
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card=L1Card("s", "室内", [], [], [], [], "线性"),
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time_range=(0.0, 1.0),
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children=[],
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)
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return TreeIndex(metadata=IndexMeta(video_path, "video"), roots=[l1])
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@pytest.fixture()
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def batch_env(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> dict:
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"""5 个假视频 + 桩 builder + 隔离的 progress 路径。"""
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import tools.build_trees as bt
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_StubBuilder.instances = []
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_StubBuilder.inflight = 0
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_StubBuilder.max_inflight = 0
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monkeypatch.setattr(bt, "VideoTreeBuilder", _StubBuilder)
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monkeypatch.setattr(bt, "_build_clients", lambda api_concurrency: (None, None))
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videos = tmp_path / "videos"
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videos.mkdir()
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for i in range(5):
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(videos / f"v{i}.mp4").write_bytes(b"")
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return {
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"videos": videos,
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"out": tmp_path / "out",
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"progress": tmp_path / "build_progress.json",
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}
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def _make_args(env: dict, video_concurrency: int = 2, limit: int = 0) -> argparse.Namespace:
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"""构造 main_async 所需的 CLI 参数命名空间。"""
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return argparse.Namespace(
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videos_dir=str(env["videos"]),
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out_dir=str(env["out"]),
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srt_dir=str(env["videos"]),
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video_concurrency=video_concurrency,
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limit=limit,
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progress_path=str(env["progress"]),
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)
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class TestOrchestration:
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"""main_async 编排行为(桩 builder)。"""
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@pytest.mark.asyncio
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async def test_video_concurrency_capped(self, batch_env: dict) -> None:
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"""同时在建视频数不得超过 video_concurrency。"""
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await main_async(_make_args(batch_env, video_concurrency=2))
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assert _StubBuilder.max_inflight <= 2
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assert len(_StubBuilder.instances) == 5
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@pytest.mark.asyncio
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async def test_shared_api_semaphore(self, batch_env: dict) -> None:
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"""全部 builder 实例共享同一个 API Semaphore 对象。"""
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await main_async(_make_args(batch_env))
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sems = {id(b.api_semaphore) for b in _StubBuilder.instances}
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assert len(sems) == 1
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assert _StubBuilder.instances[0].api_semaphore is not None
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@pytest.mark.asyncio
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async def test_trees_saved_and_progress_recorded(self, batch_env: dict) -> None:
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"""每个视频产出 tree.json 且 progress 记录全部完成。"""
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await main_async(_make_args(batch_env))
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for i in range(5):
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assert (batch_env["out"] / f"v{i}" / "tree.json").exists()
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assert load_progress(batch_env["progress"]) == {f"v{i}" for i in range(5)}
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@pytest.mark.asyncio
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async def test_resume_skips_finished(self, batch_env: dict) -> None:
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"""第二次运行跳过全部已完成视频。"""
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await main_async(_make_args(batch_env))
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n_first = len(_StubBuilder.instances)
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await main_async(_make_args(batch_env))
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assert len(_StubBuilder.instances) == n_first # 无新建
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@pytest.mark.asyncio
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async def test_partial_completion_resume(self, batch_env: dict) -> None:
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"""部分完成后重跑只建剩余视频(模拟中断后恢复)。"""
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batch_env["progress"].write_text(
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json.dumps({"finished_video_ids": ["v0", "v1"]}),
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encoding="utf-8",
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)
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await main_async(_make_args(batch_env))
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assert len(_StubBuilder.instances) == 3 # 仅 v2/v3/v4
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@pytest.mark.asyncio
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async def test_limit(self, batch_env: dict) -> None:
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"""--limit 2 只建前两个(烟测入口)。"""
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await main_async(_make_args(batch_env, limit=2))
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assert len(_StubBuilder.instances) == 2
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+191
-2
@@ -17,9 +17,12 @@ app/core/adapters 不 import 此脚本。
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from __future__ import annotations
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import argparse
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import asyncio
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import json
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import os
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import sys
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import time
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from pathlib import Path
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from typing import TYPE_CHECKING
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@@ -27,17 +30,20 @@ from typing import TYPE_CHECKING
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PROJECT_ROOT = Path(__file__).resolve().parent.parent
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sys.path.insert(0, str(PROJECT_ROOT))
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import yaml # noqa: E402
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from dotenv import load_dotenv # noqa: E402
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from loguru import logger # noqa: E402
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load_dotenv(PROJECT_ROOT / ".env")
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from app.tree.config import TreeConfig # noqa: E402
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from app.tree.index import TreeIndex # noqa: E402
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from app.tree.subtitle import parse_srt # noqa: E402
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from app.tree.video_builder import VideoTreeBuilder # noqa: E402
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if TYPE_CHECKING:
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import asyncio
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from adapters.llm import GovernedLLMClient
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from adapters.vlm import GovernedVLMClient
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from app.tree.subtitle import SRTEntry
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# ---------------------------------------------------------------------------
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@@ -173,3 +179,186 @@ def _find_srt_entries(video_path: Path, srt_dir: Path) -> list[SRTEntry] | None:
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if not srt_path.exists():
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return None
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return parse_srt(str(srt_path))
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# ---------------------------------------------------------------------------
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# LLM/VLM 客户端构建(复刻 repair_trees.py 惯例)
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# ---------------------------------------------------------------------------
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def _build_clients(api_concurrency: int) -> tuple[GovernedLLMClient, GovernedVLMClient]:
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"""构建 GovernedLLMClient(LLM + VLM),熔断阈值随 API 并发缩放。
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参数:
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api_concurrency: 全局 API 并发上限(熔断阈值取 max(cfg, api_concurrency*2))。
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返回:
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(llm_client, vlm_client) 元组。
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"""
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from adapters.breaker import CircuitBreaker
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from adapters.llm import GovernedLLMClient
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from adapters.telemetry import SQLiteTelemetryRecorder
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from adapters.vlm import GovernedVLMClient
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(PROJECT_ROOT / "logs").mkdir(exist_ok=True)
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telemetry = SQLiteTelemetryRecorder(str(PROJECT_ROOT / "logs" / "build_trees_telemetry.db"))
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breaker_threshold = int(os.getenv("LLM_CIRCUIT_BREAKER_THRESHOLD", "5"))
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breaker_threshold = max(breaker_threshold, api_concurrency * 2)
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breaker_cooldown = int(os.getenv("LLM_CIRCUIT_BREAKER_COOLDOWN", "60"))
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timeout_s = float(os.getenv("LLM_TIMEOUT", "120"))
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max_retries = int(os.getenv("LLM_MAX_RETRIES", "3"))
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base_delay = float(os.getenv("LLM_RETRY_BASE_DELAY", "2.0"))
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max_delay = float(os.getenv("LLM_RETRY_MAX_DELAY", "30.0"))
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ttft = float(os.getenv("LLM_TTFT_TIMEOUT", "30"))
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inter_token = float(os.getenv("LLM_INTER_TOKEN_TIMEOUT", "15"))
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llm = GovernedLLMClient(
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model=os.environ["SEARCH_LLM_MODEL"],
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base_url=os.environ["SEARCH_LLM_BASE_URL"],
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api_key=os.environ["SEARCH_LLM_API_KEY"],
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provider="deepseek",
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thinking=False,
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breaker=CircuitBreaker(fail_threshold=breaker_threshold, cooldown_s=breaker_cooldown),
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cache=None,
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telemetry=telemetry,
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timeout_s=timeout_s,
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ttft_timeout_s=ttft,
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inter_token_timeout_s=inter_token,
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max_retries=max_retries,
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retry_base_delay_s=base_delay,
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retry_max_delay_s=max_delay,
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)
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vlm_base = GovernedLLMClient(
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model=os.environ["VL_LLM_MODEL"],
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base_url=os.environ["VL_LLM_BASE_URL"],
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api_key=os.environ["VL_LLM_API_KEY"],
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provider="qwen",
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thinking=False,
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breaker=CircuitBreaker(fail_threshold=breaker_threshold, cooldown_s=breaker_cooldown),
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cache=None,
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telemetry=telemetry,
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timeout_s=timeout_s,
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ttft_timeout_s=ttft,
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inter_token_timeout_s=inter_token,
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max_retries=max_retries,
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retry_base_delay_s=base_delay,
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retry_max_delay_s=max_delay,
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)
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return llm, GovernedVLMClient(vlm_base)
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# ---------------------------------------------------------------------------
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# 主编排
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# ---------------------------------------------------------------------------
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async def main_async(args: argparse.Namespace) -> None:
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"""异步主流程:视频级并发建树 + 全局共享 API 信号量。
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参数:
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args: CLI 参数(videos_dir/out_dir/srt_dir/video_concurrency/limit/progress_path)。
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"""
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videos_dir = Path(args.videos_dir)
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out_dir = Path(args.out_dir)
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srt_dir = Path(args.srt_dir)
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assert videos_dir.is_dir(), f"视频目录不存在: {videos_dir}"
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api_concurrency = int(os.getenv("TREE_BUILD_API_CONCURRENCY", "16"))
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# Phase 1: 待建发现(progress + 完整性双重跳过)
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progress_path = Path(args.progress_path)
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finished = load_progress(progress_path)
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if finished:
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logger.info("progress 已记录 {} 个完成视频", len(finished))
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pending = _discover_pending(videos_dir, out_dir, finished)
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if args.limit > 0:
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pending = pending[: args.limit]
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logger.info(
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"待建 {} 个视频, video_concurrency={}, api_concurrency={}",
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len(pending),
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args.video_concurrency,
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api_concurrency,
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)
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if not pending:
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return
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# Phase 2: 客户端与共享信号量
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llm, vlm = _build_clients(api_concurrency)
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with open(PROJECT_ROOT / "config" / "default.yaml", encoding="utf-8") as f:
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tree_cfg = TreeConfig.from_dict(yaml.safe_load(f)["tree"])
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api_sem = asyncio.Semaphore(api_concurrency)
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video_sem = asyncio.Semaphore(args.video_concurrency)
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progress_lock = asyncio.Lock()
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start_time = time.time()
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completed = 0
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failed: list[str] = []
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# Phase 3: 视频级并发编排(复刻 repair_trees 模式)
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async def _build_one(video_path: Path) -> None:
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nonlocal completed
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async with video_sem:
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vid = video_path.stem
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logger.info("开始建树 {}", vid)
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builder = VideoTreeBuilder(vlm=vlm, llm=llm, config=tree_cfg, api_semaphore=api_sem)
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srt_entries = _find_srt_entries(video_path, srt_dir)
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try:
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index = await builder.build_async(str(video_path), srt_entries)
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except Exception as exc:
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# WHY: 单视频错误隔离——一个视频失败不拖垮整批;
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# 失败清单汇总上报,vid 不进 progress,下次重跑自动重建。
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logger.error("建树失败 {} ({}): {}", vid, type(exc).__name__, exc)
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failed.append(vid)
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return
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tree_path = out_dir / vid / "tree.json"
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tree_path.parent.mkdir(parents=True, exist_ok=True)
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index.save_json(str(tree_path))
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await save_progress(progress_path, progress_lock, vid)
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completed += 1
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if completed % 5 == 0:
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elapsed = time.time() - start_time
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rate = completed / elapsed * 60 if elapsed > 0 else 0
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logger.info(
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"进度: {}/{}, 已用 {:.0f}s, 速率 {:.2f} 视频/分钟",
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completed,
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len(pending),
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elapsed,
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rate,
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)
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await asyncio.gather(*[asyncio.create_task(_build_one(p)) for p in pending])
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# Phase 4: 汇总
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elapsed = time.time() - start_time
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logger.info(
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"批量建树完成: 成功 {}, 失败 {}, 总耗时 {:.0f}s{}",
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completed,
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len(failed),
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elapsed,
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f", 失败清单: {failed}" if failed else "",
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)
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def main() -> None:
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"""同步入口。"""
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parser = argparse.ArgumentParser(description="批量并行建树")
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parser.add_argument("--videos-dir", type=str, required=True, help="视频文件目录")
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parser.add_argument("--out-dir", type=str, default="store/videos", help="树输出根目录")
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parser.add_argument("--srt-dir", type=str, default="", help="SRT 目录(默认同 videos-dir)")
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parser.add_argument("--video-concurrency", type=int, default=16, help="同时在建视频数")
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parser.add_argument("--limit", type=int, default=0, help="只建前 N 个(0=全部,烟测用)")
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parser.add_argument(
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"--progress-path",
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type=str,
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default=str(PROJECT_ROOT / "logs" / PROGRESS_FILE),
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dest="progress_path",
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help="progress 文件路径",
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)
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args = parser.parse_args()
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if not args.srt_dir:
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args.srt_dir = args.videos_dir
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asyncio.run(main_async(args))
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if __name__ == "__main__":
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main()
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