Skip to main content
Glama
Atakan-Emre

QA-MCP: Test Standardization & Orchestration Server

by Atakan-Emre

testcase.to_xray

Convert test cases to Xray import format for Jira integration, supporting manual, automated, or generic test types with customizable field mappings.

Instructions

Standart test case'i Xray import formatına dönüştürür

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
testcaseYesDönüştürülecek test case
project_keyYesJira proje anahtarı (örn: PROJ)
test_typeNoXray test tipi (default: Manual)
include_custom_fieldsNoCustom field'ları dahil et (default: true)
custom_field_mappingsNoCustom field ID eşlemeleri

Implementation Reference

  • The primary handler function that performs the conversion from QA-MCP testcase format to Xray import JSON, handling field mappings, steps, custom fields, priority, labels, and generating reports/warnings.
    def convert_to_xray(
        testcase: dict,
        project_key: str,
        test_type: str = "Manual",
        include_custom_fields: bool = True,
        custom_field_mappings: dict[str, str] | None = None,
    ) -> dict:
        """
        Convert a QA-MCP test case to Xray import format.
    
        Args:
            testcase: Test case in QA-MCP standard format
            project_key: Jira project key (e.g., 'PROJ')
            test_type: Xray test type - 'Manual', 'Automated', 'Generic'
            include_custom_fields: Whether to include custom field mappings
            custom_field_mappings: Custom field ID mappings (e.g., {'risk_level': 'customfield_10001'})
    
        Returns:
            Dictionary containing:
            - xray_payload: Ready-to-import Xray JSON
            - field_mapping_report: Which fields were mapped
            - warnings: Any conversion warnings
        """
        warnings = []
        field_mapping_report = {
            "mapped_fields": [],
            "unmapped_fields": [],
            "custom_fields_used": [],
        }
    
        # Parse test case
        try:
            tc = TestCase(**testcase)
        except Exception as e:
            return {
                "xray_payload": None,
                "field_mapping_report": field_mapping_report,
                "warnings": [f"Test case parse hatası: {str(e)}"],
                "error": str(e),
            }
    
        # Build Xray payload
        xray_payload = {
            "testtype": XRAY_TEST_TYPE_MAP.get(test_type, "Manual"),
            "fields": {
                "project": {"key": project_key},
                "summary": tc.title,
                "description": _build_xray_description(tc),
                "issuetype": {"name": "Test"},
            },
        }
        field_mapping_report["mapped_fields"].extend(["title", "description"])
    
        # Priority mapping
        if tc.priority:
            xray_payload["fields"]["priority"] = {"name": XRAY_PRIORITY_MAP.get(tc.priority, "Medium")}
            field_mapping_report["mapped_fields"].append("priority")
    
        # Labels
        labels = list(tc.labels) + list(tc.tags)
        if labels:
            xray_payload["fields"]["labels"] = labels
            field_mapping_report["mapped_fields"].append("labels")
    
        # Components (from module)
        if tc.module:
            xray_payload["fields"]["components"] = [{"name": tc.module}]
            field_mapping_report["mapped_fields"].append("module->components")
    
        # Test steps (Xray specific format)
        xray_steps = _build_xray_steps(tc)
        if xray_steps:
            xray_payload["steps"] = xray_steps
            field_mapping_report["mapped_fields"].append("steps")
    
        # Preconditions
        if tc.preconditions:
            xray_payload["preconditions"] = "\n".join(f"• {p}" for p in tc.preconditions)
            field_mapping_report["mapped_fields"].append("preconditions")
    
        # Custom fields
        if include_custom_fields:
            custom_fields = _build_custom_fields(tc, custom_field_mappings)
            if custom_fields:
                xray_payload["fields"].update(custom_fields)
                field_mapping_report["custom_fields_used"] = list(custom_fields.keys())
    
        # Track unmapped fields
        all_tc_fields = set(TestCase.model_fields.keys())
        mapped_base_fields = {
            "title",
            "description",
            "priority",
            "labels",
            "tags",
            "module",
            "steps",
            "preconditions",
        }
        unmapped = all_tc_fields - mapped_base_fields - {"id", "created_at", "updated_at", "author"}
    
        for field in unmapped:
            value = getattr(tc, field, None)
            if value and (not isinstance(value, list) or value):
                field_mapping_report["unmapped_fields"].append(field)
                warnings.append(
                    f"'{field}' alanı Xray'e map edilemedi - custom field ekleyin veya description'a dahil edildi"
                )
    
        return {
            "xray_payload": xray_payload,
            "field_mapping_report": field_mapping_report,
            "warnings": warnings,
        }
  • MCP tool registration defining the 'testcase.to_xray' tool name, description, and input schema.
    Tool(
        name="testcase.to_xray",
        description="Standart test case'i Xray import formatına dönüştürür",
        inputSchema={
            "type": "object",
            "properties": {
                "testcase": {
                    "type": "object",
                    "description": "Dönüştürülecek test case",
                },
                "project_key": {
                    "type": "string",
                    "description": "Jira proje anahtarı (örn: PROJ)",
                },
                "test_type": {
                    "type": "string",
                    "enum": ["Manual", "Automated", "Generic"],
                    "description": "Xray test tipi (default: Manual)",
                },
                "include_custom_fields": {
                    "type": "boolean",
                    "description": "Custom field'ları dahil et (default: true)",
                },
                "custom_field_mappings": {
                    "type": "object",
                    "description": "Custom field ID eşlemeleri",
                },
            },
            "required": ["testcase", "project_key"],
        },
    ),
  • Server-side tool dispatch handler that extracts arguments and invokes the convert_to_xray implementation.
    elif name == "testcase.to_xray":
        result = convert_to_xray(
            testcase=arguments["testcase"],
            project_key=arguments["project_key"],
            test_type=arguments.get("test_type", "Manual"),
            include_custom_fields=arguments.get("include_custom_fields", True),
            custom_field_mappings=arguments.get("custom_field_mappings"),
        )
        audit_log(name, arguments, f"Converted to Xray for {arguments['project_key']}")
  • Constant mappings for priority and test type conversion between QA-MCP and Xray formats.
    XRAY_PRIORITY_MAP = {
        Priority.P0: "Highest",
        Priority.P1: "High",
        Priority.P2: "Medium",
        Priority.P3: "Low",
    }
    
    XRAY_TEST_TYPE_MAP = {
        "Manual": "Manual",
        "Automated": "Generic",
        "Generic": "Generic",
    }
    
    
    def convert_to_xray(
        testcase: dict,
        project_key: str,
        test_type: str = "Manual",
        include_custom_fields: bool = True,
        custom_field_mappings: dict[str, str] | None = None,

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Atakan-Emre/McpTestGenerator'

If you have feedback or need assistance with the MCP directory API, please join our Discord server