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import pytest
import httpx
from tensorus import mcp_server
class DummyResponse:
def __init__(self, data):
self._data = data
def json(self):
return self._data
def raise_for_status(self):
pass
def make_mock_client(monkeypatch, method, url, payload, response):
class MockAsyncClient:
async def __aenter__(self):
return self
async def __aexit__(self, exc_type, exc, tb):
pass
async def post(self, u, json=None):
assert method == 'post'
assert u == url
assert json == payload
return DummyResponse(response)
async def get(self, u):
assert method == 'get'
assert u == url
return DummyResponse(response)
async def put(self, u, json=None):
assert method == 'put'
assert u == url
assert json == payload
return DummyResponse(response)
async def delete(self, u):
assert method == 'delete'
assert u == url
return DummyResponse(response)
monkeypatch.setattr(mcp_server.httpx, "AsyncClient", MockAsyncClient)
def make_error_client(monkeypatch, method):
class ErrorAsyncClient:
async def __aenter__(self):
return self
async def __aexit__(self, exc_type, exc, tb):
pass
async def post(self, u, json=None):
assert method == "post"
raise httpx.HTTPError("failed")
async def get(self, u):
assert method == "get"
raise httpx.HTTPError("failed")
async def put(self, u, json=None):
assert method == "put"
raise httpx.HTTPError("failed")
async def delete(self, u):
assert method == "delete"
raise httpx.HTTPError("failed")
monkeypatch.setattr(mcp_server.httpx, "AsyncClient", ErrorAsyncClient)
@pytest.mark.asyncio
async def test_save_tensor(monkeypatch):
payload = {
"shape": [2, 2],
"dtype": "float32",
"data": [[1, 2], [3, 4]],
"metadata": {"a": 1},
}
response = {"ok": True}
url = f"{mcp_server.API_BASE_URL}/datasets/ds1/ingest"
make_mock_client(monkeypatch, "post", url, payload, response)
result = await mcp_server.save_tensor.fn("ds1", (2, 2), "float32", [[1, 2], [3, 4]], {"a": 1})
assert json.loads(result.text) == response
@pytest.mark.asyncio
async def test_get_tensor(monkeypatch):
response = {"record_id": "abc"}
url = f"{mcp_server.API_BASE_URL}/datasets/ds1/tensors/abc"
make_mock_client(monkeypatch, "get", url, None, response)
result = await mcp_server.get_tensor.fn("ds1", "abc")
assert json.loads(result.text) == response
@pytest.mark.asyncio
async def test_execute_nql_query(monkeypatch):
response = {"results": []}
url = f"{mcp_server.API_BASE_URL}/query"
make_mock_client(monkeypatch, "post", url, {"query": "count"}, response)
result = await mcp_server.execute_nql_query.fn("count")
assert json.loads(result.text) == response
@pytest.mark.asyncio
async def test_dataset_tools(monkeypatch):
create_resp = {"message": "ok"}
list_resp = {"data": ["ds1"]}
delete_resp = {"deleted": True}
make_mock_client(
monkeypatch,
"post",
f"{mcp_server.API_BASE_URL}/datasets/create",
{"name": "ds1"},
create_resp,
)
res_create = await mcp_server.tensorus_create_dataset.fn("ds1")
assert json.loads(res_create.text) == create_resp
make_mock_client(
monkeypatch,
"get",
f"{mcp_server.API_BASE_URL}/datasets",
None,
list_resp,
)
res_list = await mcp_server.tensorus_list_datasets.fn()
assert json.loads(res_list.text) == list_resp
make_mock_client(
monkeypatch,
"delete",
f"{mcp_server.API_BASE_URL}/datasets/ds1",
None,
delete_resp,
)
res_delete = await mcp_server.tensorus_delete_dataset.fn("ds1")
assert json.loads(res_delete.text) == delete_resp
@pytest.mark.asyncio
async def test_tensor_tools(monkeypatch):
ingest_payload = {
"shape": [1],
"dtype": "int32",
"data": [1],
"metadata": None,
}
ingest_resp = {"record_id": "r1"}
make_mock_client(
monkeypatch,
"post",
f"{mcp_server.API_BASE_URL}/datasets/ds1/ingest",
ingest_payload,
ingest_resp,
)
res_ingest = await mcp_server.tensorus_ingest_tensor.fn("ds1", [1], "int32", [1])
assert json.loads(res_ingest.text) == ingest_resp
details_resp = {"record_id": "r1", "data": [1]}
make_mock_client(
monkeypatch,
"get",
f"{mcp_server.API_BASE_URL}/datasets/ds1/tensors/r1",
None,
details_resp,
)
res_details = await mcp_server.tensorus_get_tensor_details.fn("ds1", "r1")
assert json.loads(res_details.text) == details_resp
delete_resp = {"deleted": True}
make_mock_client(
monkeypatch,
"delete",
f"{mcp_server.API_BASE_URL}/datasets/ds1/tensors/r1",
None,
delete_resp,
)
res_delete = await mcp_server.tensorus_delete_tensor.fn("ds1", "r1")
assert json.loads(res_delete.text) == delete_resp
update_payload = {"new_metadata": {"x": 1}}
update_resp = {"updated": True}
make_mock_client(
monkeypatch,
"put",
f"{mcp_server.API_BASE_URL}/datasets/ds1/tensors/r1/metadata",
update_payload,
update_resp,
)
res_update = await mcp_server.tensorus_update_tensor_metadata.fn("ds1", "r1", {"x": 1})
assert json.loads(res_update.text) == update_resp
@pytest.mark.asyncio
@pytest.mark.parametrize(
"func,operation,payload",
[
(mcp_server.tensorus_apply_unary_operation, "log", {"a": 1}),
(mcp_server.tensorus_apply_binary_operation, "add", {"b": 2}),
(mcp_server.tensorus_apply_list_operation, "concatenate", {"c": 3}),
],
)
async def test_tensor_ops(monkeypatch, func, operation, payload):
resp = {"result": 0}
make_mock_client(
monkeypatch,
"post",
f"{mcp_server.API_BASE_URL}/ops/{operation}",
payload,
resp,
)
res = await func.fn(operation, payload)
assert json.loads(res.text) == resp
@pytest.mark.asyncio
async def test_tensor_ops_einsum(monkeypatch):
resp = {"result": 1}
payload = {"equation": "i,i->", "operands": [1, 2]}
make_mock_client(
monkeypatch,
"post",
f"{mcp_server.API_BASE_URL}/ops/einsum",
payload,
resp,
)
res = await mcp_server.tensorus_apply_einsum.fn(payload)
assert json.loads(res.text) == resp
@pytest.mark.asyncio
async def test_http_error_returns_textcontent(monkeypatch):
make_error_client(monkeypatch, "post")
res = await mcp_server.save_tensor.fn("ds1", [1], "int32", [1])
assert json.loads(res.text) == {"error": "failed"}
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