fix: 优化同步上游模型的写回载荷,克隆并保留远端返回的所有非敏感 credentials,避免丢失 compact_model_mapping 等其它配置

This commit is contained in:
liumangmang
2026-07-02 17:02:37 +08:00
parent 4645460ff9
commit 316ef24188
2 changed files with 23 additions and 18 deletions
+14 -12
View File
@@ -145,7 +145,7 @@ def test_sync_upstream_models_workflow(db_session, monkeypatch):
def list_accounts(self):
return [
{"id": 1001, "name": "acc-1001", "credentials": {"api_key": "k1", "model_mapping": {"old": "old"}, "base_url": "http://default-base-url"}},
{"id": 1001, "name": "acc-1001", "credentials": {"api_key": "k1", "model_mapping": {"old": "old"}, "base_url": "http://default-base-url", "compact_model_mapping": {"compact": "compact"}, "openai_capabilities": "caps"}},
{"id": "abc", "name": "acc-abc", "credentials": {}},
{"id": 1005, "name": "acc-1005", "credentials": {"api_key": "k5"}},
{"id": 1006, "name": "acc-1006", "credentials": {"api_key": "k6"}},
@@ -191,15 +191,17 @@ def test_sync_upstream_models_workflow(db_session, monkeypatch):
# 1001 的两次 update 调用检测
calls_1001 = [call for call in update_calls if call[0] == "1001"]
assert len(calls_1001) == 2
# 第一次安全修复:只传递 base_url
assert calls_1001[0][1]["credentials"] == {"base_url": "http://upstream-a"}
# 第二次同步成功写入:传递 base_url + model_mapping
assert calls_1001[1][1]["credentials"] == {
"base_url": "http://upstream-a",
"model_mapping": {
"gpt-3.5-turbo": "gpt-3.5-turbo",
"gpt-4": "gpt-4"
}
# 第一次安全修复:应当在保留其他非敏感 credentials (如 compact_model_mapping) 的基础上,只将 base_url 变更为 http://upstream-a
assert calls_1001[0][1]["credentials"]["base_url"] == "http://upstream-a"
assert calls_1001[0][1]["credentials"]["compact_model_mapping"] == {"compact": "compact"}
assert calls_1001[0][1]["credentials"]["openai_capabilities"] == "caps"
# 第二次同步成功写入:同样保留其他非敏感 credentials,但将 model_mapping 也更新进去
assert calls_1001[1][1]["credentials"]["base_url"] == "http://upstream-a"
assert calls_1001[1][1]["credentials"]["compact_model_mapping"] == {"compact": "compact"}
assert calls_1001[1][1]["credentials"]["openai_capabilities"] == "caps"
assert calls_1001[1][1]["credentials"]["model_mapping"] == {
"gpt-3.5-turbo": "gpt-3.5-turbo",
"gpt-4": "gpt-4"
}
# abc 跳过
@@ -219,7 +221,7 @@ def test_sync_upstream_models_workflow(db_session, monkeypatch):
assert "为空" in item_1005.message
calls_1005 = [call for call in update_calls if call[0] == "1005"]
assert len(calls_1005) == 1
assert calls_1005[0][1]["credentials"] == {"base_url": "http://upstream-a"}
assert calls_1005[0][1]["credentials"]["base_url"] == "http://upstream-a"
# 1006 失败 (抛错,但应当执行了第一次安全修复的 update_account)
item_1006 = next(i for i in items if i.account_id == "1006")
@@ -228,7 +230,7 @@ def test_sync_upstream_models_workflow(db_session, monkeypatch):
assert "Network Error" in item_1006.message
calls_1006 = [call for call in update_calls if call[0] == "1006"]
assert len(calls_1006) == 1
assert calls_1006[0][1]["credentials"] == {"base_url": "http://upstream-a"}
assert calls_1006[0][1]["credentials"]["base_url"] == "http://upstream-a"
# 1007 失败 (上游 base_url 为空,不应当调用 update_account 且不调用同步模型)
item_1007 = next(i for i in items if i.account_id == "1007")