mateclaw/mateclaw-server/src/test/java/vip/mate/tool/builtin/DatasourceToolIdPrecisionTest.java

96 lines
4.2 KiB
Java

package vip.mate.tool.builtin;
import com.fasterxml.jackson.databind.JsonNode;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.json.JsonMapper;
import com.fasterxml.jackson.databind.ser.std.ToStringSerializer;
import com.fasterxml.jackson.databind.module.SimpleModule;
import org.junit.jupiter.api.DisplayName;
import org.junit.jupiter.api.Test;
import org.springframework.ai.support.ToolCallbacks;
import org.springframework.ai.tool.ToolCallback;
import vip.mate.datasource.model.DatasourceEntity;
import vip.mate.datasource.service.DatasourceConnectionManager;
import vip.mate.datasource.service.DatasourceService;
import vip.mate.datasource.service.SqlValidationService;
import java.util.List;
import static org.junit.jupiter.api.Assertions.assertFalse;
import static org.junit.jupiter.api.Assertions.assertTrue;
import static org.mockito.Mockito.mock;
import static org.mockito.Mockito.when;
/**
* Issue #319: a 19-digit Snowflake datasource id must reach the model as a JSON
* string, not a number. As a number it loses its low digits when it round-trips
* through a double / JS Number on the way back into a follow-up tool call (and in
* the chat UI), so the looked-up datasource is "not found". The tool serializes
* through the application ObjectMapper, which renders every Long as a string —
* the same id-safety policy the HTTP API already applies.
*/
class DatasourceToolIdPrecisionTest {
/** Mirrors the application ObjectMapper: every Long serializes as a string. */
private static ObjectMapper idSafeMapper() {
SimpleModule m = new SimpleModule();
m.addSerializer(Long.class, ToStringSerializer.instance);
m.addSerializer(Long.TYPE, ToStringSerializer.instance);
return JsonMapper.builder().addModule(m).build();
}
@Test
@DisplayName("list_datasources emits the id as a quoted JSON string, never a bare number")
void listDatasources_idIsString() {
long bigId = 2064875200729235458L;
DatasourceEntity ds = new DatasourceEntity();
ds.setId(bigId);
ds.setName("prod-mysql");
ds.setDbType("mysql");
ds.setDatabaseName("app");
DatasourceService service = mock(DatasourceService.class);
when(service.listEnabled()).thenReturn(List.of(ds));
DatasourceTool tool = new DatasourceTool(service, mock(DatasourceConnectionManager.class), idSafeMapper());
String out = tool.query_datasource("list_datasources", null, null);
assertTrue(out.contains("\"" + bigId + "\""),
"id must appear as a quoted string so its 19 digits survive the round-trip; got: " + out);
assertFalse(out.contains(": " + bigId) || out.contains(":" + bigId),
"id must NOT appear as a bare JSON number (precision-lossy across double/JS Number)");
}
@Test
@DisplayName("datasource tools publish datasourceId as a string parameter so LLM tool calls preserve precision")
void datasourceIdSchemasAreString() throws Exception {
DatasourceTool datasourceTool = new DatasourceTool(
mock(DatasourceService.class),
mock(DatasourceConnectionManager.class),
idSafeMapper());
SqlQueryTool sqlQueryTool = new SqlQueryTool(
mock(DatasourceService.class),
mock(DatasourceConnectionManager.class),
mock(SqlValidationService.class));
assertDatasourceIdIsString(datasourceTool, "query_datasource");
assertDatasourceIdIsString(sqlQueryTool, "execute_sql");
}
private static void assertDatasourceIdIsString(Object tool, String name) throws Exception {
JsonNode root = idSafeMapper().readTree(callback(tool, name).getToolDefinition().inputSchema());
assertTrue("string".equals(root.at("/properties/datasourceId/type").asText()),
name + " datasourceId must be a string schema");
}
private static ToolCallback callback(Object tool, String name) {
for (ToolCallback callback : ToolCallbacks.from(tool)) {
if (name.equals(callback.getToolDefinition().name())) {
return callback;
}
}
throw new AssertionError("Missing tool callback: " + name);
}
}