chore: auto release commit (2026-06-08 14:19:45)
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2026-06-08 14:19:46 +08:00
parent 5b555e4313
commit a24f6809da
23 changed files with 701 additions and 184 deletions

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"""任务运行辅助:录屏信息组装与 CLI 输出(通用模板,无业务逻辑)。"""
from __future__ import annotations
from typing import Any, Dict, Optional
def build_video_info(
video_summary: dict[str, Any],
compose_context_before: Optional[dict[str, Any]] = None,
compose_context_after: Optional[dict[str, Any]] = None,
) -> dict[str, Any]:
"""将 RpaVideoSession.summary() 转为 task log / CLI 可用的 video 块。"""
return {
"enabled": video_summary.get("enabled", False),
"path": video_summary.get("path"),
"capture_path": video_summary.get("capture_path"),
"record_log_path": video_summary.get("record_log_path"),
"warnings": list(video_summary.get("warnings") or []),
"voiceover_path": video_summary.get("voiceover_path"),
"music_path": video_summary.get("music_path"),
"audio_warnings": list(video_summary.get("audio_warnings") or []),
"compose_context": {
**(compose_context_before or {}),
"after_compose": compose_context_after or {},
},
}
def merge_video_into_result_summary(
payload: dict[str, Any],
video_info: Optional[dict[str, Any]],
) -> dict[str, Any]:
"""把 video artifact 字段写入 result_summary JSON 对象。"""
if not video_info:
return payload
payload = dict(payload)
payload["video"] = video_info
payload["video_path"] = video_info.get("path")
payload["raw_video"] = video_info.get("capture_path")
payload["video_log"] = video_info.get("record_log_path")
payload["video_warnings"] = list(video_info.get("warnings") or [])
payload["voiceover_path"] = video_info.get("voiceover_path")
payload["music_path"] = video_info.get("music_path")
payload["audio_warnings"] = list(video_info.get("audio_warnings") or [])
return payload
def _print_video_summary(video_block: Optional[dict[str, Any]]) -> None:
"""任务完成后在 CLI 打印录屏路径、日志与诊断信息。"""
if not isinstance(video_block, dict) or not video_block.get("enabled"):
return
record_log = video_block.get("record_log_path")
if record_log:
print(f"录屏日志:{record_log}")
path = video_block.get("path")
if path:
print(f"录屏路径:{path}")
else:
print("录屏路径:未生成")
warnings = video_block.get("warnings") or []
if warnings:
print(f"视频诊断:{'; '.join(str(w) for w in warnings)}")
capture = video_block.get("capture_path")
if capture:
print(f"原始录屏路径:{capture}")
voiceover = video_block.get("voiceover_path")
if voiceover:
print(f"旁白路径:{voiceover}")
music = video_block.get("music_path")
if music:
print(f"背景音乐:{music}")
audio_warnings = video_block.get("audio_warnings") or []
if audio_warnings:
print(f"音频诊断:{'; '.join(str(w) for w in audio_warnings)}")
compose_ctx = video_block.get("compose_context")
if isinstance(compose_ctx, dict):
print(
"视频合成上下文:"
f"media_assets_root={compose_ctx.get('media_assets_root', '')}; "
f"ffmpeg_path={compose_ctx.get('ffmpeg_path', '')}; "
f"background_music_issue={compose_ctx.get('background_music_issue') or ''}; "
f"background_music_sample_path={compose_ctx.get('background_music_sample_path', '')}"
)

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@@ -6,28 +6,81 @@
from __future__ import annotations
import asyncio
import json
import os
from typing import Optional
import uuid
from typing import Any, Dict, Optional
from jiangchang_skill_core import collect_runtime_diagnostics, config, format_runtime_health_lines
from jiangchang_skill_core.rpa.video_session import RpaVideoSession
from db import task_logs_repository as tlr
from service.entitlement_service import check_entitlement
from service.task_run_support import (
_print_video_summary,
build_video_info,
merge_video_into_result_summary,
)
from util.constants import PLATFORM_KIT_MIN_VERSION, SKILL_SLUG, SKILL_VERSION
from util.runtime_paths import get_skill_root
from util.runtime_paths import get_skill_data_dir, get_skill_root
from util.timeutil import unix_to_iso
async def _run_template_demo(target: Optional[str], input_id: Optional[str]) -> tuple[int, dict[str, Any]]:
"""最小 RpaVideoSession 示范:不启动浏览器、不执行业务,仅演示录屏包裹范式。"""
batch_id = uuid.uuid4().hex[:12]
data_dir = get_skill_data_dir()
async with RpaVideoSession(
skill_slug=SKILL_SLUG,
skill_data_dir=data_dir,
batch_id=batch_id,
title="开始执行示例任务",
closing_title="示例任务执行完成",
) as video:
video.add_step("准备执行示例任务")
if target:
video.add_step(f"接收目标参数:{target}")
if input_id:
video.add_step(f"接收输入标识:{input_id}")
video.add_step("示例任务执行完成")
video_summary = video.summary()
video_info = build_video_info(video_summary, {}, {})
return 1, video_info
def cmd_run(target: Optional[str] = None, input_id: Optional[str] = None) -> int:
"""通用任务执行入口模板。复制后请实现真实业务逻辑。"""
_ = (target, input_id)
ok, reason = check_entitlement(SKILL_SLUG)
if not ok:
print(f"{reason}")
return 1
rc, video_info = asyncio.run(_run_template_demo(target, input_id))
_print_video_summary(video_info)
summary_payload = merge_video_into_result_summary(
{
"template_demo": True,
"target": target,
"input_id": input_id,
},
video_info,
)
tlr.save_task_log(
task_type="demo",
target_id=target,
input_id=input_id,
input_title="模板示例任务",
status="failed",
error_msg="模板仓库未实现真实业务",
result_summary=json.dumps(summary_payload, ensure_ascii=False),
)
print("❌ 这是模板仓库,请复制后在 scripts/service/task_service.py 中实现 cmd_run 的真实业务逻辑。")
return 1
return rc
def cmd_logs(

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@@ -3,4 +3,4 @@
SKILL_SLUG = "your-skill-slug"
SKILL_VERSION = "1.0.14"
LOG_LOGGER_NAME = "openclaw.skill.your_skill_slug"
PLATFORM_KIT_MIN_VERSION = "1.0.11"
PLATFORM_KIT_MIN_VERSION = "1.0.13"