164 lines
6.1 KiB
Python
164 lines
6.1 KiB
Python
import io
|
|
import json
|
|
import unittest
|
|
from contextlib import redirect_stdout
|
|
from unittest.mock import patch
|
|
|
|
import main as agent_main
|
|
|
|
from main import (
|
|
AGENT_NAME,
|
|
CARD_MODEL,
|
|
CARD_VENDOR,
|
|
ValidationError,
|
|
_log_event,
|
|
_safe_model_name,
|
|
analyze,
|
|
scan_once,
|
|
select_candidate,
|
|
)
|
|
|
|
|
|
class AnalyzeTests(unittest.TestCase):
|
|
def complete_payload(self):
|
|
return {
|
|
"model_name": "example/model",
|
|
"hardware": f"{CARD_VENDOR} {CARD_MODEL}",
|
|
"framework": "PyTorch",
|
|
"backend": "vendor-backend",
|
|
"sdk_version": "provided-by-user",
|
|
"driver_version": "provided-by-user",
|
|
}
|
|
|
|
def test_complete_preflight_targets_this_card(self):
|
|
result = analyze(self.complete_payload())
|
|
self.assertEqual(result["verdict"], "preflight_ready")
|
|
self.assertTrue(result["target_matches"])
|
|
self.assertEqual(result["official_target"]["model"], CARD_MODEL)
|
|
|
|
def test_mismatched_target_is_rejected(self):
|
|
payload = self.complete_payload()
|
|
payload["hardware"] = "其他厂商 其他卡型"
|
|
result = analyze(payload)
|
|
self.assertEqual(result["verdict"], "target_mismatch")
|
|
self.assertFalse(result["target_matches"])
|
|
|
|
def test_missing_information_is_explicit(self):
|
|
result = analyze({})
|
|
self.assertEqual(result["verdict"], "information_required")
|
|
self.assertIn("sdk_version", result["missing_fields"])
|
|
self.assertIn("driver_version", result["missing_fields"])
|
|
|
|
def test_multicard_and_quantization_risks_are_reported(self):
|
|
payload = self.complete_payload()
|
|
payload.update({"cards": 2, "precision": "int8"})
|
|
result = analyze(payload)
|
|
joined = " ".join(result["risks"])
|
|
self.assertIn("多卡", joined)
|
|
self.assertIn("量化", joined)
|
|
|
|
def test_invalid_card_count_is_rejected(self):
|
|
with self.assertRaises(ValidationError):
|
|
analyze({"cards": 0})
|
|
|
|
def test_model_log_identifier_removes_url_credentials(self):
|
|
value = "https://user:pass@example.com/org/model?token=secret#fragment"
|
|
self.assertEqual(_safe_model_name(value), "https://example.com/org/model")
|
|
|
|
def test_structured_log_is_valid_json(self):
|
|
stream = io.StringIO()
|
|
with redirect_stdout(stream):
|
|
_log_event("analysis_completed", model="example/model", verdict="ready")
|
|
record = json.loads(stream.getvalue())
|
|
self.assertEqual(record["agent"], AGENT_NAME)
|
|
self.assertEqual(record["event"], "analysis_completed")
|
|
self.assertEqual(record["model"], "example/model")
|
|
|
|
@staticmethod
|
|
def candidate_payload():
|
|
return {
|
|
"code": 0,
|
|
"data": [
|
|
{
|
|
"modelId": "Qwen/Qwen3-30B-Instruct",
|
|
"taskLevelsInfo": {"taskLevelChineseName": "文本生成"},
|
|
},
|
|
{
|
|
"modelId": "Qwen/Qwen3-4B-Instruct-2507",
|
|
"taskLevelsInfo": {"taskLevelChineseName": "文本生成"},
|
|
},
|
|
{
|
|
"modelId": "example/image-model",
|
|
"taskLevelsInfo": {"taskLevelChineseName": "文本生成图片"},
|
|
},
|
|
],
|
|
}
|
|
|
|
def test_candidate_selection_prefers_smaller_supported_text_model(self):
|
|
candidate = select_candidate(self.candidate_payload())
|
|
self.assertIsNotNone(candidate)
|
|
self.assertEqual(candidate["model_id"], "Qwen/Qwen3-4B-Instruct-2507")
|
|
|
|
def test_scan_skips_write_without_private_token(self):
|
|
calls = []
|
|
|
|
def fake_request(method, url, **kwargs):
|
|
calls.append((method, url, kwargs))
|
|
return self.candidate_payload()
|
|
|
|
with patch.object(agent_main, "XC_TOKEN", ""):
|
|
result = scan_once(fake_request)
|
|
self.assertEqual(result["action"], "submission_skipped")
|
|
self.assertIn("xc_token_missing", result["reasons"])
|
|
self.assertEqual([call[0] for call in calls], ["GET"])
|
|
|
|
def test_scan_deduplicates_before_submission(self):
|
|
calls = []
|
|
|
|
def fake_request(method, url, **kwargs):
|
|
calls.append((method, url, kwargs))
|
|
if "top/models" in url:
|
|
return self.candidate_payload()
|
|
return {"code": 0, "data": {"records": [{"taskId": "existing"}]}}
|
|
|
|
with (
|
|
patch.object(agent_main, "XC_TOKEN", "private-token"),
|
|
patch.object(agent_main, "STRATEGY_ID", "strategy-id"),
|
|
patch.object(agent_main, "TARGET_GPU", "verified-gpu"),
|
|
patch.object(agent_main, "CONFIG_PARAMS", "framework: vllm"),
|
|
patch.object(agent_main, "AUTO_SUBMIT_ENABLED", True),
|
|
):
|
|
result = scan_once(fake_request)
|
|
self.assertEqual(result["action"], "duplicate_skipped")
|
|
self.assertEqual([call[0] for call in calls], ["GET", "GET"])
|
|
|
|
def test_scan_submits_exactly_one_task_after_empty_history(self):
|
|
calls = []
|
|
|
|
def fake_request(method, url, **kwargs):
|
|
calls.append((method, url, kwargs))
|
|
if "top/models" in url:
|
|
return self.candidate_payload()
|
|
if method == "GET":
|
|
return {"code": 0, "data": {"records": []}}
|
|
return {"code": 0, "data": {"taskId": "new-task"}}
|
|
|
|
with (
|
|
patch.object(agent_main, "XC_TOKEN", "private-token"),
|
|
patch.object(agent_main, "STRATEGY_ID", "strategy-id"),
|
|
patch.object(agent_main, "TARGET_GPU", "verified-gpu"),
|
|
patch.object(agent_main, "CONFIG_PARAMS", "framework: vllm"),
|
|
patch.object(agent_main, "AUTO_SUBMIT_ENABLED", True),
|
|
):
|
|
result = scan_once(fake_request)
|
|
self.assertEqual(result["action"], "submitted")
|
|
self.assertEqual(result["task_id"], "new-task")
|
|
self.assertEqual([call[0] for call in calls], ["GET", "GET", "POST"])
|
|
submitted = calls[-1][2]["payload"]
|
|
self.assertEqual(submitted["targetGpu"], "verified-gpu")
|
|
self.assertEqual(submitted["strategyId"], "strategy-id")
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|