Release v1.0.11: shared runtime diagnostics and media_assets probe helpers
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This commit is contained in:
2026-06-07 09:06:41 +08:00
parent 2a542c0be6
commit c9398451d0
7 changed files with 772 additions and 17 deletions

View File

@@ -15,7 +15,7 @@ from jiangchang_skill_core import media_assets as ma
def _make_complete_assets(root: Path, *, with_ffmpeg: bool = True, with_ffprobe: bool = True) -> None:
(root / "music" / "calm").mkdir(parents=True)
(root / "music" / "calm" / "track.mp3").write_bytes(b"x" * 256)
(root / "music" / "calm" / "track.mp3").write_bytes(b"x" * 1024)
(root / "fonts").mkdir(parents=True)
(root / "watermark").mkdir(parents=True)
bin_key = ma._platform_bin_key()
@@ -63,7 +63,7 @@ def _build_archive_zip(dest: Path, inner_name: str) -> None:
with zipfile.ZipFile(dest, "w") as zf:
zf.writestr(f"{inner_name}/README.md", "# media-assets\n")
zf.writestr(f"{inner_name}/manifest.json", json.dumps(manifest, ensure_ascii=False))
zf.writestr(f"{inner_name}/music/calm/track.mp3", b"x" * 256)
zf.writestr(f"{inner_name}/music/calm/track.mp3", b"x" * 1024)
zf.writestr(f"{inner_name}/fonts/.keep", "")
zf.writestr(f"{inner_name}/watermark/.keep", "")
@@ -168,9 +168,9 @@ def test_pick_background_music_stable_first(tmp_path: Path, monkeypatch: pytest.
root = tmp_path / "data" / "shared" / "media-assets"
_make_complete_assets(root)
music = root / "music"
(music / "b-upbeat.mp3").write_bytes(b"x" * 256)
(music / "calm" / "a-calm.mp3").write_bytes(b"x" * 256)
(music / "z-last.wav").write_bytes(b"x" * 256)
(music / "b-upbeat.mp3").write_bytes(b"x" * 1024)
(music / "calm" / "a-calm.mp3").write_bytes(b"x" * 1024)
(music / "z-last.wav").write_bytes(b"x" * 1024)
monkeypatch.setattr(
ma,
@@ -297,7 +297,7 @@ def test_pick_background_music_skips_lfs_pointer(tmp_path: Path, monkeypatch: py
_make_complete_assets(root, with_ffmpeg=True, with_ffprobe=True)
music = root / "music"
(music / "calm" / "track.mp3").unlink()
(music / "real.mp3").write_bytes(b"x" * 256)
(music / "real.mp3").write_bytes(b"x" * 1024)
lfs = music / "lfs-only.mp3"
lfs.write_text("version https://git-lfs.github.com/spec/v1\noid sha256:abc\nsize 123\n")
@@ -390,7 +390,7 @@ def test_video_finalize_without_music_fallback(tmp_path: Path, monkeypatch: pyte
def test_manifest_ffmpeg_download(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
root = tmp_path / "data" / "shared" / "media-assets"
(root / "music" / "calm").mkdir(parents=True)
(root / "music" / "calm" / "track.mp3").write_bytes(b"x" * 256)
(root / "music" / "calm" / "track.mp3").write_bytes(b"x" * 1024)
(root / "fonts").mkdir(parents=True)
(root / "watermark").mkdir(parents=True)
(root / "manifest.json").write_text(
@@ -406,3 +406,32 @@ def test_manifest_ffmpeg_download(tmp_path: Path, monkeypatch: pytest.MonkeyPatc
assert status.ready is True
assert status.ffmpeg_path is not None
assert status.ffprobe_path is not None
def test_is_usable_audio_file_rejects_small_and_lfs(tmp_path: Path) -> None:
small = tmp_path / "small.mp3"
small.write_bytes(b"x" * 512)
assert ma.is_usable_audio_file(small) is False
ok = tmp_path / "ok.mp3"
ok.write_bytes(b"x" * 1024)
assert ma.is_usable_audio_file(ok) is True
lfs = tmp_path / "lfs.mp3"
lfs.write_text("version https://git-lfs.github.com/spec/v1\noid sha256:abc\nsize 123\n")
assert ma.is_usable_audio_file(lfs) is False
assert ma.is_git_lfs_pointer(lfs) is True
def test_probe_background_music_structure(tmp_path: Path) -> None:
root = tmp_path / "media-assets"
music = root / "music" / "calm"
music.mkdir(parents=True)
(music / "track.mp3").write_bytes(b"x" * 1024)
probe = ma.probe_background_music(root)
assert probe["music_root"] == str(root / "music")
assert probe["mp3_count"] == 1
assert probe["usable_count"] == 1
assert probe["issue"] is None
assert probe["sample_path"] == str(music / "track.mp3")

View File

@@ -0,0 +1,313 @@
# -*- coding: utf-8 -*-
"""runtime_diagnostics 公共 Runtime / media-assets 诊断测试。"""
from __future__ import annotations
import json
from pathlib import Path
from unittest.mock import patch
import pytest
import jiangchang_skill_core
from jiangchang_skill_core import media_assets as ma
from jiangchang_skill_core.runtime_diagnostics import (
RuntimeDiagnostics,
RuntimeIssue,
collect_runtime_diagnostics,
format_runtime_health_lines,
is_jiangchang_skill_core_from_skill_tree,
runtime_diagnostics_dict,
version_ge,
)
def test_version_ge_post_release() -> None:
assert version_ge("1.0.10.post23", "1.0.10") is True
assert version_ge("1.0.10", "1.0.10") is True
assert version_ge("1.0.9.post19", "1.0.10") is False
def test_is_jiangchang_skill_core_from_skill_tree(tmp_path: Path) -> None:
skill_root = tmp_path / "my-skill"
inside = skill_root / "scripts" / "jiangchang_skill_core" / "__init__.py"
inside.parent.mkdir(parents=True)
inside.write_text("# vendored\n", encoding="utf-8")
outside = tmp_path / "site-packages" / "jiangchang_skill_core" / "__init__.py"
outside.parent.mkdir(parents=True)
outside.write_text("# shared\n", encoding="utf-8")
assert is_jiangchang_skill_core_from_skill_tree(
skill_root=skill_root,
core_file=inside,
) is True
assert is_jiangchang_skill_core_from_skill_tree(
skill_root=skill_root,
core_file=outside,
) is False
def test_collect_runtime_diagnostics_json_serializable(
tmp_path: Path,
monkeypatch: pytest.MonkeyPatch,
) -> None:
data_root = tmp_path / "data"
env = {
"CLAW_DATA_ROOT": str(data_root),
"OPENCLAW_RECORD_VIDEO": "0",
}
media_root = data_root / "shared" / "media-assets"
(media_root / "music").mkdir(parents=True)
def _fake_probe_media_assets(data_root_arg=None, env_arg=None):
return ma.MediaAssetsStatus(
root=media_root,
exists=True,
ready=False,
source="local",
warnings=["ffmpeg_missing"],
ffmpeg_path=None,
music_dir=media_root / "music",
music_ready=False,
)
monkeypatch.setattr(
"jiangchang_skill_core.runtime_diagnostics.probe_media_assets",
_fake_probe_media_assets,
)
monkeypatch.setattr(
"jiangchang_skill_core.runtime_diagnostics.probe_background_music",
lambda *a, **k: {
"music_root": str(media_root / "music"),
"mp3_count": 0,
"usable_count": 0,
"sample_path": None,
"issue": "background_music_dir_empty",
},
)
monkeypatch.setattr(
"jiangchang_skill_core.runtime_diagnostics._platform_kit_version",
lambda: "1.0.10",
)
diag = collect_runtime_diagnostics(
skill_slug="my-skill",
platform_kit_min_version="1.0.9",
env=env,
)
payload = runtime_diagnostics_dict(diag)
json.dumps(payload)
assert payload["skill_slug"] == "my-skill"
assert payload["resolved_data_root"] == str(data_root)
assert payload["platform_kit_version_ok"] is True
def test_platform_kit_min_version_none_skips_version_issue(
tmp_path: Path,
monkeypatch: pytest.MonkeyPatch,
) -> None:
env = {"CLAW_DATA_ROOT": str(tmp_path / "data")}
monkeypatch.setattr(
"jiangchang_skill_core.runtime_diagnostics.probe_media_assets",
lambda *a, **k: ma.MediaAssetsStatus(
root=tmp_path,
exists=False,
ready=False,
source="local",
),
)
monkeypatch.setattr(
"jiangchang_skill_core.runtime_diagnostics.probe_background_music",
lambda *a, **k: {
"music_root": None,
"mp3_count": 0,
"usable_count": 0,
"sample_path": None,
"issue": "music_dir_missing",
},
)
monkeypatch.setattr(
"jiangchang_skill_core.runtime_diagnostics._platform_kit_version",
lambda: "1.0.8",
)
diag = collect_runtime_diagnostics(skill_slug="my-skill", env=env)
assert diag.platform_kit_version_ok is None
assert "platform_kit_version_low" not in diag.issue_codes()
def test_platform_kit_missing_records_issue(
tmp_path: Path,
monkeypatch: pytest.MonkeyPatch,
) -> None:
env = {"CLAW_DATA_ROOT": str(tmp_path / "data")}
monkeypatch.setattr(
"jiangchang_skill_core.runtime_diagnostics.probe_media_assets",
lambda *a, **k: ma.MediaAssetsStatus(
root=tmp_path,
exists=False,
ready=False,
source="local",
),
)
monkeypatch.setattr(
"jiangchang_skill_core.runtime_diagnostics.probe_background_music",
lambda *a, **k: {
"music_root": None,
"mp3_count": 0,
"usable_count": 0,
"sample_path": None,
"issue": None,
},
)
monkeypatch.setattr(
"jiangchang_skill_core.runtime_diagnostics._platform_kit_version",
lambda: None,
)
diag = collect_runtime_diagnostics(
skill_slug="my-skill",
platform_kit_min_version="1.0.10",
env=env,
)
assert "platform_kit_not_installed" in diag.issue_codes()
def test_record_video_ffmpeg_and_music_warnings_not_fatal(
tmp_path: Path,
monkeypatch: pytest.MonkeyPatch,
) -> None:
media_root = tmp_path / "shared" / "media-assets"
env = {"CLAW_DATA_ROOT": str(tmp_path), "OPENCLAW_RECORD_VIDEO": "1"}
monkeypatch.setattr(
"jiangchang_skill_core.runtime_diagnostics.probe_media_assets",
lambda *a, **k: ma.MediaAssetsStatus(
root=media_root,
exists=True,
ready=False,
source="local",
warnings=["ffmpeg_missing", "music_dir_missing"],
ffmpeg_path=None,
music_dir=None,
),
)
monkeypatch.setattr(
"jiangchang_skill_core.runtime_diagnostics.probe_background_music",
lambda *a, **k: {
"music_root": None,
"mp3_count": 0,
"usable_count": 0,
"sample_path": None,
"issue": "music_dir_missing",
},
)
monkeypatch.setattr(
"jiangchang_skill_core.runtime_diagnostics._platform_kit_version",
lambda: "1.0.10",
)
diag = collect_runtime_diagnostics(skill_slug="my-skill", env=env)
codes = diag.issue_codes()
assert "ffmpeg_unavailable" in codes
assert "background_music_unavailable" in codes
assert diag.has_fatal_issues is False
ffmpeg_issue = next(i for i in diag.issues if i.code == "ffmpeg_unavailable")
assert ffmpeg_issue.severity == "warning"
def test_skill_tree_core_issue_when_skill_root_given(tmp_path: Path) -> None:
skill_root = tmp_path / "my-skill"
fake_core = skill_root / "scripts" / "jiangchang_skill_core" / "__init__.py"
fake_core.parent.mkdir(parents=True)
fake_core.write_text("# vendored\n", encoding="utf-8")
env = {"CLAW_DATA_ROOT": str(tmp_path / "data")}
with patch.object(jiangchang_skill_core, "__file__", str(fake_core)):
diag = collect_runtime_diagnostics(
skill_slug="my-skill",
skill_root=skill_root,
record_video=False,
env=env,
)
assert "jiangchang_skill_core_loaded_from_skill_tree" in diag.issue_codes()
def test_format_runtime_health_lines_core_fields(
tmp_path: Path,
monkeypatch: pytest.MonkeyPatch,
) -> None:
env = {"CLAW_DATA_ROOT": str(tmp_path / "data")}
monkeypatch.setattr(
"jiangchang_skill_core.runtime_diagnostics.probe_media_assets",
lambda *a, **k: ma.MediaAssetsStatus(
root=tmp_path,
exists=False,
ready=False,
source="local",
),
)
monkeypatch.setattr(
"jiangchang_skill_core.runtime_diagnostics.probe_background_music",
lambda *a, **k: {
"music_root": None,
"mp3_count": 0,
"usable_count": 0,
"sample_path": None,
"issue": None,
},
)
monkeypatch.setattr(
"jiangchang_skill_core.runtime_diagnostics._platform_kit_version",
lambda: "1.0.10",
)
diag = collect_runtime_diagnostics(skill_slug="my-skill", env=env)
text = "\n".join(format_runtime_health_lines(diag))
for marker in (
"python_executable:",
"platform_kit_version:",
"resolved_data_root:",
"media_assets_root:",
"ffmpeg_available:",
"background_music_mp3_count:",
):
assert marker in text
def test_background_music_lfs_and_size_rules(tmp_path: Path) -> None:
music = tmp_path / "music"
music.mkdir()
(music / "tiny.mp3").write_bytes(b"x" * 512)
(music / "lfs.mp3").write_text(
"version https://git-lfs.github.com/spec/v1\noid sha256:abc\nsize 123\n"
)
(music / "ok.mp3").write_bytes(b"x" * 1024)
probe = ma.probe_background_music(tmp_path)
assert probe["mp3_count"] == 3
assert probe["usable_count"] == 1
assert probe["sample_path"] == str(music / "ok.mp3")
def test_runtime_diagnostics_frozen_dataclass() -> None:
diag = RuntimeDiagnostics(
skill_slug="x",
python_executable="python",
platform_kit_version="1.0.10",
platform_kit_min_version=None,
platform_kit_version_ok=None,
jiangchang_skill_core_file=None,
claw_data_root=None,
jiangchang_data_root=None,
resolved_data_root="/tmp",
media_assets_root="/tmp/media",
ffmpeg_available=False,
ffmpeg_path=None,
background_music_mp3_count=0,
background_music_usable_count=0,
background_music_issue=None,
background_music_sample_path=None,
record_video_enabled=False,
issues=(RuntimeIssue(code="ffmpeg_unavailable", message="no ffmpeg"),),
)
assert diag.has_fatal_issues is False
assert diag.issue_codes() == ["ffmpeg_unavailable"]