File size: 5,470 Bytes
5888f5c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 | #!/usr/bin/env python3
import argparse
import re
from pathlib import Path
try:
import yaml
except Exception as exc:
raise SystemExit(f"PyYAML is required to parse YAML files: {exc}")
DATASET_ID = "OneScience/proteinmpnn"
MODEL_ID = "OneScience/ProteinMPNN"
REQUIRED_README_SECTIONS = [
"## OneScience 官方信息",
"## 项目说明",
"## Resource Card",
"## 文件说明",
"## Manifest",
"## 模型 vs 数据集关系",
"## 文件与下载",
"## 运行流程",
"## 预检与诊断",
]
REQUIRED_MANIFEST_KEYS = [
"resource",
"platform_resource",
"website_integration",
"runtime",
"onescience",
"runtime_package",
"files",
"relations",
"run_matrix",
"capabilities",
"commands",
"expected_outputs",
"diagnostics",
"domain_extension",
]
def read_text_checked(path: Path) -> str:
raw = path.read_bytes()
try:
text = raw.decode("utf-8")
except UnicodeDecodeError as exc:
raise SystemExit(f"{path} is not valid UTF-8: {exc}") from exc
bad = []
if "????" in text:
bad.append("contains four consecutive question marks")
if "\ufffd" in text:
bad.append("contains U+FFFD replacement character")
if re.search(r"(Ã|Â|Ð|Ñ|锟|鏂|璇|涓)", text):
bad.append("contains possible mojibake markers")
if bad:
raise SystemExit(f"{path} encoding check failed: {', '.join(bad)}")
return text
def cjk_count(text: str) -> int:
return sum(1 for ch in text if "\u4e00" <= ch <= "\u9fff")
def walk_values(obj):
if isinstance(obj, dict):
for value in obj.values():
yield from walk_values(value)
elif isinstance(obj, list):
for value in obj:
yield from walk_values(value)
else:
yield obj
def collect_command_names(commands):
names = set()
if isinstance(commands, dict):
for value in commands.values():
if isinstance(value, list):
for item in value:
if isinstance(item, dict) and "name" in item:
names.add(item["name"])
elif isinstance(value, dict) and "name" in value:
names.add(value["name"])
return names
parser = argparse.ArgumentParser()
parser.add_argument("--root", default=".")
args = parser.parse_args()
root = Path(args.root).resolve()
readme = read_text_checked(root / "README.md")
manifest_text = read_text_checked(root / "manifest.yaml")
relations_text = read_text_checked(root / "onescience_relations.yaml")
if cjk_count(readme) < 200:
raise SystemExit(f"README.md CJK count too low: {cjk_count(readme)}")
if cjk_count(manifest_text) < 20:
raise SystemExit(f"manifest.yaml CJK count too low: {cjk_count(manifest_text)}")
for section in REQUIRED_README_SECTIONS:
if section not in readme:
raise SystemExit(f"README.md missing section: {section}")
manifest = yaml.safe_load(manifest_text)
relations = yaml.safe_load(relations_text)
missing = [k for k in REQUIRED_MANIFEST_KEYS if k not in manifest]
if missing:
raise SystemExit(f"manifest missing keys: {missing}")
if manifest["resource"]["id"] != DATASET_ID:
raise SystemExit("manifest resource.id mismatch")
primary = manifest["platform_resource"]["primary"]
if primary["repo_id"] != DATASET_ID or primary["repo_type"] != "dataset":
raise SystemExit("manifest platform_resource.primary mismatch")
all_text = "\n".join([readme, manifest_text, relations_text])
if "Onescience/" in all_text or "onescience/" in all_text:
raise SystemExit("found invalid OneScience namespace casing")
if " proteinmpnn" in all_text or "`proteinmpnn`" in all_text:
pass
if "modelscope download --dataset proteinmpnn" in all_text:
raise SystemExit("found bare dataset download id")
if "modelscope download --dataset OneScience/proteinmpnn" not in all_text:
raise SystemExit("missing exact dataset download command")
if "OneScience/ProteinMPNN" not in all_text:
raise SystemExit("missing compatible model id")
compatible = manifest["relations"].get("compatible_models", [])
if not compatible:
raise SystemExit("missing relations.compatible_models")
for item in compatible:
ref = item.get("resource_ref", {})
if ref.get("repo_id") != MODEL_ID or ref.get("repo_type") != "model":
raise SystemExit("compatible model resource_ref mismatch")
rel_dataset = relations.get("relations", {}).get("dataset", {}).get("resource_ref", {})
if rel_dataset.get("repo_id") != DATASET_ID:
raise SystemExit("onescience_relations dataset repo_id mismatch")
command_names = collect_command_names(manifest.get("commands", {}))
if not command_names:
raise SystemExit("no named commands found")
scenario_refs = [s.get("command_ref") for s in manifest.get("run_matrix", {}).get("scenarios", [])]
missing_refs = [ref for ref in scenario_refs if ref and ref not in command_names]
if missing_refs:
raise SystemExit(f"run_matrix command_refs missing from commands: {missing_refs}")
for value in walk_values(manifest):
if isinstance(value, str) and "repo_id" not in value:
if "OneScience/proteinmpnn" in value or "OneScience/ProteinMPNN" in value:
continue
print("STANDARD_CHECK_OK")
print(f"readme_cjk={cjk_count(readme)}")
print(f"manifest_cjk={cjk_count(manifest_text)}")
print(f"dataset_repo_id={DATASET_ID}")
print(f"compatible_model_repo_id={MODEL_ID}")
print("command_refs=PASS")
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