Files
aigc-home/calliope-backend/scripts/ui_import_dryrun.py
T
leeferandmultica-agent c5aa575ac3 feat(workflows): UI→API 转换器 + 批量导入 + 元数据轻量列表 (HEL-681 S2)
- 新增 comfyui/ui_convert.py:离线确定性转换(reroute/bypass/mute 透传、
  子图展开为 packed:inner 限定 id、Set/Get 变量解析、控件三种映射来源,
  无法可靠映射的文件进入需人工确认,绝不静默猜测)
- 新增 convert / import-batch / import-scan 端点:dry-run 逐文件
  ok/warn/fail 报告 + 建议元数据;导入端冲突跳过、重复执行幂等
- workflows 表加列 category/model_family/media_io/tags/favorite/
  last_used_at/source/source_path(纯加列迁移,旧行为零影响)
- GET /api/workflows?view=meta 轻量列表不含全量 JSON;旧接口行为不变
- 元数据建议:分类/模型家族(主加载器加权+目录回退,规避 qwen_image_vae
  误标)/输入输出媒介/MarkdownNote 描述素材
- enqueue 时记录 last_used_at;PATCH 支持 favorite/tags 等字段
- 测试 23 项新增(转换语义单测+146 文件语料+对拍+端点/迁移/幂等)

Co-authored-by: multica-agent <github@multica.ai>
2026-10-11 11:20:23 +08:00

171 lines
7.3 KiB
Python
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
"""Generate the HEL-681 dry-run report over the repo's UI workflow library.
Walks ``example_ComfyUI_workflows`` (or ``--root``), runs every file through
the production converter + lint + parser pipeline (exactly what
``POST /api/workflows/convert`` does, minus HTTP), and writes a JSON detail
file plus a human-readable Markdown summary. Read-only: nothing is imported,
no DB is touched.
Usage:
python scripts/ui_import_dryrun.py [--root DIR] [--out PREFIX]
"""
from __future__ import annotations
import argparse
import collections
import json
import sys
from pathlib import Path
BACKEND = Path(__file__).resolve().parents[1]
sys.path.insert(0, str(BACKEND / "src"))
from calliope.comfyui.lint import workflow_warnings # noqa: E402
from calliope.comfyui.metadata import suggested_metadata # noqa: E402
from calliope.comfyui.parser import classify_usage # noqa: E402
from calliope.comfyui.ui_convert import convert_ui_workflow # noqa: E402
REPO = BACKEND.parent
def main() -> int:
parser = argparse.ArgumentParser()
parser.add_argument("--root", default=str(REPO / "example_ComfyUI_workflows"))
parser.add_argument("--out", default=str(REPO / "dryrun_report"))
args = parser.parse_args()
root = Path(args.root)
out_prefix = Path(args.out)
entries = []
for path in sorted(root.rglob("*.json")):
try:
data = json.loads(path.read_text(encoding="utf-8"))
except (json.JSONDecodeError, OSError) as exc:
entries.append(
{
"source_path": str(path.relative_to(root)),
"status": "fail",
"issues": [{"code": "unreadable", "message": str(exc)}],
}
)
continue
if not (isinstance(data, dict) and isinstance(data.get("nodes"), list)):
continue # API-format / non-workflow files are out of scope
rel = str(path.relative_to(root))
result = convert_ui_workflow(data)
entry: dict = {
"source_path": rel,
"status": result.status,
"needs_confirmation": result.needs_confirmation,
"issues": [
{"node_id": i.node_id, "code": i.code, "level": i.level, "message": i.message}
for i in result.issues
],
}
if result.workflow is not None:
entry["node_count"] = len(result.workflow)
entry["suggested"] = suggested_metadata(result.workflow, rel, data)
errors = [w for w in workflow_warnings(result.workflow) if w["level"] == "error"]
entry["lint_errors"] = [e["code"] for e in errors]
entry["importable"] = not result.needs_confirmation and not errors
else:
entry["importable"] = False
entries.append(entry)
counts = collections.Counter(e["status"] for e in entries)
code_counts = collections.Counter(
i["code"] for e in entries for i in e["issues"]
)
category_counts = collections.Counter(
(e.get("suggested") or {}).get("category") or "?" for e in entries
)
family_counts = collections.Counter(
(e.get("suggested") or {}).get("model_family") or "?" for e in entries
)
importable = sum(1 for e in entries if e.get("importable"))
needs_confirmation = sum(1 for e in entries if e["needs_confirmation"])
lint_blocked = [e for e in entries if e.get("lint_errors")]
detail = {
"root": str(root),
"total": len(entries),
"status_counts": dict(counts),
"issue_code_counts": dict(code_counts),
"importable": importable,
"needs_confirmation": needs_confirmation,
"lint_blocked": [e["source_path"] for e in lint_blocked],
"files": entries,
}
out_prefix.parent.mkdir(parents=True, exist_ok=True)
(out_prefix.with_suffix(".json")).write_text(
json.dumps(detail, ensure_ascii=False, indent=1), encoding="utf-8"
)
lines = [
"# HEL-681 工作流 UI→API 转换 dry-run 报告",
"",
f"- 扫描目录:`{root}`(根目录 10 个 API 格式旧文件不在本管线范围)",
f"- UI 格式文件总数:**{len(entries)}**",
f"- 转换结果:ok **{counts.get('ok', 0)}** / warn **{counts.get('warn', 0)}** / fail **{counts.get('fail', 0)}**",
f"- 其中「需人工确认」(控件无法可靠映射,禁止直接导入):**{needs_confirmation}**",
f"- 通过转换+lint 后可直接导入:**{importable}**",
f"- 转换成功但被现有 lint 拦截(导入时按阻止处理):**{len(lint_blocked)}**",
"",
"## 分类分布(自动提取)",
"",
"| 分类 | 数量 |",
"|---|---|",
]
for cat, n in sorted(category_counts.items()):
lines.append(f"| {cat} | {n} |")
lines += ["", "## 模型家族分布(自动提取)", "", "| 家族 | 数量 |", "|---|---|"]
for fam, n in sorted(family_counts.items(), key=lambda kv: -kv[1]):
lines.append(f"| {fam} | {n} |")
lines += ["", "## 问题代码统计", "", "| 代码 | 次数 | 含义 |", "|---|---|---|"]
meaning = {
"muted_input_dropped": "上游节点被静音,输入按未连接处理",
"variable_upstream_dropped": "Set/Get 变量上游被旁路,取值按未连接处理",
"get_without_set": "GetNode 没有同名 SetNode",
"widget_unmapped": "控件值无法可靠映射到输入名(需人工确认)",
"widget_order_mismatch": "控件数量与已知顺序不符(需人工确认)",
"no_output_node": "图中无已知输出节点,全部活跃节点保留待确认",
"cyclic_variable": "Set/Get 循环(FOR 循环流),该连线按未连接处理",
"dangling_link": "连线指向不存在的节点",
}
for code, n in code_counts.most_common():
lines.append(f"| `{code}` | {n} | {meaning.get(code, '')} |")
lines += ["", "## 需人工确认文件清单", ""]
for e in entries:
if e["needs_confirmation"]:
reasons = sorted({i["code"] for i in e["issues"]})[:3]
lines.append(f"- `{e['source_path']}`({', '.join(reasons)})")
lines += ["", "## lint 拦截文件清单", ""]
for e in lint_blocked:
lines.append(f"- `{e['source_path']}`({', '.join(e['lint_errors'])})")
lines += [
"",
"## 逐文件结果",
"",
"| 文件 | 状态 | 节点数 | 分类 | 模型家族 | 用途 | 问题 |",
"|---|---|---|---|---|---|---|",
]
for e in entries:
sug = e.get("suggested") or {}
issues = collections.Counter(i["code"] for i in e["issues"])
issue_text = ", ".join(f"{c}×{n}" for c, n in issues.most_common(2)) or "-"
usage = sug.get("usage") or ("待定" if sug.get("usage_ambiguous") else "-")
lines.append(
f"| `{e['source_path']}` | {e['status']} | {e.get('node_count', '-')} "
f"| {sug.get('category') or '-'} | {sug.get('model_family') or '-'} "
f"| {usage} | {issue_text} |"
)
(out_prefix.with_suffix(".md")).write_text("\n".join(lines) + "\n", encoding="utf-8")
print(f"{len(entries)} files: {dict(counts)}, importable={importable}, nc={needs_confirmation}")
print(f"report → {out_prefix}.md / {out_prefix}.json")
return 0
if __name__ == "__main__":
raise SystemExit(main())