| """ |
| TestGenius AI β Test Generator Service |
| ======================================== |
| Core service that generates test cases using LLM with structured prompts. |
| Supports: unit tests, integration tests, edge cases, security tests, E2E tests. |
| """ |
|
|
| import json |
| import uuid |
| import time |
| import logging |
| from typing import Dict, List, Optional, Any |
| from datetime import datetime |
|
|
| from app.services.llm_provider import generate_with_llm |
| from app.services.prompt_builder import ( |
| build_requirements_prompt, |
| build_api_spec_prompt, |
| build_code_analysis_prompt, |
| build_frontend_flow_prompt, |
| SYSTEM_PROMPT, |
| ) |
|
|
| logger = logging.getLogger(__name__) |
|
|
|
|
| |
|
|
| async def generate_from_requirements( |
| requirements: str, |
| framework: str = "pytest", |
| language: str = "python", |
| test_types: List[str] = None, |
| ) -> Dict[str, Any]: |
| """Generate test cases from product requirements text.""" |
| start_time = time.time() |
| test_types = test_types or ["unit", "integration", "edge_case"] |
|
|
| prompt = build_requirements_prompt(requirements, framework, language, test_types) |
| raw_response = await generate_with_llm(prompt, SYSTEM_PROMPT) |
|
|
| tests = _parse_test_response(raw_response, framework, language) |
| processing_time = (time.time() - start_time) * 1000 |
|
|
| return { |
| "test_suite_id": f"TS-{uuid.uuid4().hex[:8]}", |
| "source": "requirements", |
| "tests_generated": sum(len(t.get("tests", [])) for t in tests) if isinstance(tests, list) else len(tests), |
| "test_files": tests, |
| "coverage_summary": _build_coverage_summary(tests, test_types), |
| "processing_time_ms": round(processing_time, 1), |
| "timestamp": datetime.utcnow().isoformat() + "Z", |
| } |
|
|
|
|
| |
|
|
| async def generate_from_api_spec( |
| openapi_spec: Dict[str, Any], |
| framework: str = "pytest", |
| language: str = "python", |
| test_types: List[str] = None, |
| ) -> Dict[str, Any]: |
| """Generate test cases from OpenAPI/Swagger specification.""" |
| start_time = time.time() |
| test_types = test_types or ["integration", "edge_case", "security"] |
|
|
| |
| endpoints = _extract_endpoints(openapi_spec) |
|
|
| prompt = build_api_spec_prompt(openapi_spec, endpoints, framework, language, test_types) |
| raw_response = await generate_with_llm(prompt, SYSTEM_PROMPT) |
|
|
| tests = _parse_test_response(raw_response, framework, language) |
| processing_time = (time.time() - start_time) * 1000 |
|
|
| return { |
| "test_suite_id": f"TS-{uuid.uuid4().hex[:8]}", |
| "source": "api_spec", |
| "endpoints_analyzed": len(endpoints), |
| "tests_generated": sum(len(t.get("tests", [])) for t in tests) if isinstance(tests, list) else len(tests), |
| "test_files": tests, |
| "coverage_summary": _build_coverage_summary(tests, test_types), |
| "endpoints_detail": endpoints, |
| "processing_time_ms": round(processing_time, 1), |
| "timestamp": datetime.utcnow().isoformat() + "Z", |
| } |
|
|
|
|
| |
|
|
| async def generate_from_code( |
| source_code: str, |
| filename: str = "source.py", |
| framework: str = "pytest", |
| language: str = "python", |
| test_types: List[str] = None, |
| ) -> Dict[str, Any]: |
| """Generate unit tests from source code.""" |
| start_time = time.time() |
| test_types = test_types or ["unit", "edge_case"] |
|
|
| prompt = build_code_analysis_prompt(source_code, filename, framework, language, test_types) |
| raw_response = await generate_with_llm(prompt, SYSTEM_PROMPT) |
|
|
| tests = _parse_test_response(raw_response, framework, language) |
| processing_time = (time.time() - start_time) * 1000 |
|
|
| return { |
| "test_suite_id": f"TS-{uuid.uuid4().hex[:8]}", |
| "source": "code", |
| "source_file": filename, |
| "tests_generated": sum(len(t.get("tests", [])) for t in tests) if isinstance(tests, list) else len(tests), |
| "test_files": tests, |
| "coverage_summary": _build_coverage_summary(tests, test_types), |
| "processing_time_ms": round(processing_time, 1), |
| "timestamp": datetime.utcnow().isoformat() + "Z", |
| } |
|
|
|
|
| |
|
|
| async def generate_from_flow( |
| flow_description: str, |
| framework: str = "cypress", |
| language: str = "javascript", |
| test_types: List[str] = None, |
| ) -> Dict[str, Any]: |
| """Generate E2E tests from frontend flow description.""" |
| start_time = time.time() |
| test_types = test_types or ["e2e", "ui", "edge_case"] |
|
|
| prompt = build_frontend_flow_prompt(flow_description, framework, language, test_types) |
| raw_response = await generate_with_llm(prompt, SYSTEM_PROMPT) |
|
|
| tests = _parse_test_response(raw_response, framework, language) |
| processing_time = (time.time() - start_time) * 1000 |
|
|
| return { |
| "test_suite_id": f"TS-{uuid.uuid4().hex[:8]}", |
| "source": "frontend_flow", |
| "tests_generated": sum(len(t.get("tests", [])) for t in tests) if isinstance(tests, list) else len(tests), |
| "test_files": tests, |
| "coverage_summary": _build_coverage_summary(tests, test_types), |
| "processing_time_ms": round(processing_time, 1), |
| "timestamp": datetime.utcnow().isoformat() + "Z", |
| } |
|
|
|
|
| |
|
|
| def _extract_endpoints(spec: Dict) -> List[Dict]: |
| """Extract endpoint information from OpenAPI spec.""" |
| endpoints = [] |
| paths = spec.get("paths", {}) |
|
|
| for path, methods in paths.items(): |
| for method, details in methods.items(): |
| if method in ("get", "post", "put", "patch", "delete"): |
| endpoints.append({ |
| "method": method.upper(), |
| "path": path, |
| "summary": details.get("summary", ""), |
| "parameters": details.get("parameters", []), |
| "request_body": details.get("requestBody", {}), |
| "responses": details.get("responses", {}), |
| "security": details.get("security", []), |
| "tags": details.get("tags", []), |
| }) |
|
|
| return endpoints |
|
|
|
|
| def _parse_test_response(raw: str, framework: str, language: str) -> List[Dict]: |
| """Parse LLM response into structured test files.""" |
| |
| files = [] |
| current_code = [] |
| current_filename = None |
| in_code_block = False |
|
|
| for line in raw.split("\n"): |
| if line.startswith("```") and not in_code_block: |
| in_code_block = True |
| |
| if current_filename is None: |
| ext = ".py" if language == "python" else ".js" if language in ("javascript", "typescript") else ".go" |
| current_filename = f"test_generated{ext}" |
| continue |
| elif line.startswith("```") and in_code_block: |
| in_code_block = False |
| if current_code: |
| code_content = "\n".join(current_code) |
| files.append({ |
| "filename": current_filename, |
| "framework": framework, |
| "language": language, |
| "code": code_content, |
| "num_tests": code_content.count("def test_") + code_content.count("it(") + code_content.count("test("), |
| }) |
| current_code = [] |
| current_filename = None |
| continue |
|
|
| if in_code_block: |
| current_code.append(line) |
| elif line.startswith("# File:") or line.startswith("## ") or line.startswith("### "): |
| |
| name_hint = line.replace("# File:", "").replace("## ", "").replace("### ", "").strip() |
| if "test" in name_hint.lower(): |
| current_filename = name_hint.replace(" ", "_").lower() |
| if not current_filename.endswith((".py", ".js", ".ts")): |
| ext = ".py" if language == "python" else ".js" |
| current_filename += ext |
|
|
| |
| if not files and raw.strip(): |
| files.append({ |
| "filename": f"test_generated.{'py' if language == 'python' else 'js'}", |
| "framework": framework, |
| "language": language, |
| "code": raw, |
| "num_tests": raw.count("def test_") + raw.count("it(") + raw.count("test("), |
| }) |
|
|
| return files |
|
|
|
|
| def _build_coverage_summary(tests: List[Dict], test_types: List[str]) -> Dict: |
| """Build a coverage summary from generated tests.""" |
| total_tests = sum(t.get("num_tests", 0) for t in tests) |
| return { |
| "total_test_files": len(tests), |
| "total_tests": total_tests, |
| "test_types_requested": test_types, |
| "frameworks_used": list(set(t.get("framework", "") for t in tests)), |
| } |
|
|