初始提交：天垓150兼容引擎 I0–I4/I6/I7

tests/test_contract.py

@@ -0,0 +1,96 @@
+import os
+import subprocess
+import unittest
+from pathlib import Path
+
+ROOT = Path(__file__).resolve().parents[1]
+
+
+class EngineContractTest(unittest.TestCase):
+    def test_locked_values_match(self) -> None:
+        example = (ROOT / "task_info.env.example").read_text(encoding="utf-8")
+        workflow_env = (ROOT / ".gitea/workflows/task_info.env").read_text(encoding="utf-8")
+        dockerfile = (ROOT / "Dockerfile").read_text(encoding="utf-8")
+        self.assertIn("FRAMEWORK=vllm_0_17_0_corex_4_4_0", example)
+        self.assertIn("GPU_TYPE=Iluvatar_bi-150", example)
+        self.assertIn("FRAMEWORK=vllm_0_17_0_corex_4_4_0", workflow_env)
+        self.assertIn("GPU_TYPE=Iluvatar_bi-150", workflow_env)
+        self.assertIn("FRAMEWORK=vllm_0_17_0_corex_4_4_0", dockerfile)
+        self.assertIn("GPU_TYPE=Iluvatar_bi-150", dockerfile)
+        self.assertIn(
+            "registry.iluvatar.com.cn:10443/customer/sz/vllm0.17.0-4.4.0-x86:v4.1",
+            dockerfile,
+        )
+        self.assertNotIn("FRAMEWORK=vllm_fix_tokenizer", example)
+        self.assertNotIn("FRAMEWORK=vllm_fix_tokenizer", workflow_env)
+        self.assertNotIn("FRAMEWORK=vllm_fix_tokenizer", dockerfile)
+
+    def test_ci_does_not_submit_platform_task(self) -> None:
+        workflow = (ROOT / ".gitea/workflows/build.yml").read_text(encoding="utf-8")
+        self.assertNotIn("adminApi", workflow)
+        self.assertNotIn("modelhub.org.cn", workflow)
+        self.assertIn("build-only", workflow)
+        self.assertIn('tags:', workflow)
+
+    def test_no_zip_or_contest_targets(self) -> None:
+        makefile = (ROOT / "Makefile").read_text(encoding="utf-8")
+        self.assertNotIn("package", makefile)
+        self.assertNotIn("submit", makefile)
+        self.assertFalse((ROOT / "contest").exists())
+        self.assertFalse((ROOT / "computility-run.yaml").exists())
+
+    def test_dry_run_prints_plan(self) -> None:
+        env = os.environ.copy()
+        env.pop("FRAMEWORK", None)
+        env.pop("GPU_TYPE", None)
+        env.pop("MODEL_DIR", None)
+        completed = subprocess.run(
+            ["bash", "scripts/entrypoint.sh", "--dry-run"],
+            cwd=ROOT,
+            env=env,
+            text=True,
+            capture_output=True,
+            check=False,
+        )
+        self.assertEqual(completed.returncode, 0, completed.stderr)
+        self.assertIn("FRAMEWORK=vllm_0_17_0_corex_4_4_0", completed.stdout)
+        self.assertIn("GPU_TYPE=Iluvatar_bi-150", completed.stdout)
+        self.assertIn("python3 -m vllm.entrypoints.openai.api_server", completed.stdout)
+        self.assertIn("dry-run: 不启动进程，不访问平台", completed.stdout)
+        self.assertNotIn("modelhub.org.cn", completed.stdout)
+        self.assertIn("<|user|>", completed.stdout)
+
+    def test_dry_run_rejects_forbidden_framework(self) -> None:
+        env = os.environ.copy()
+        env["FRAMEWORK"] = "vllm_fix_tokenizer"
+        completed = subprocess.run(
+            ["bash", "scripts/entrypoint.sh", "--dry-run"],
+            cwd=ROOT,
+            env=env,
+            text=True,
+            capture_output=True,
+            check=False,
+        )
+        self.assertNotEqual(completed.returncode, 0)
+        self.assertIn("vllm_fix_tokenizer", completed.stderr)
+
+    def test_tokenizer_patch_stays_off(self) -> None:
+        import shutil
+        import tempfile
+
+        import apply_patches
+
+        with tempfile.TemporaryDirectory() as tmp:
+            model = Path(tmp) / "model"
+            shutil.copytree(ROOT / "tests" / "fixtures" / "fake-model", model)
+            result = apply_patches.apply_all(
+                model,
+                (ROOT / "patches/chat_template/default_chat_template.jinja").read_text(encoding="utf-8"),
+                apply_patches.load_whitelist(ROOT / "patches/architectures/whitelist.txt"),
+                {},
+            )
+        self.assertFalse(result["tokenizer"]["applied"])
+
+
+if __name__ == "__main__":
+    unittest.main()