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TestGenius AI β Multi-Agent Iterative Test Refinement Engine (v2 β ALL FIXES)
===============================================================================
RESEARCH-GRADE: Based on MuTAP (arxiv:2308.16557) + HITS (ASE 2024) + Code Agents (arxiv:2406.12952)
FIXES APPLIED (v2):
1. β
SEMANTIC coverage mapping (AST-based, not keyword matching)
2. β
REAL mutation execution β mutates code, runs tests, identifies SURVIVORS
3. β
Better iteration: max_iterations=5, adaptive threshold, quality improves each pass
4. β
Test syntax validation β actually compiles/parses generated tests
5. β
Adaptive prompting β uses complexity analysis to calibrate generation
6. β
Few-shot examples in refinement prompts for higher quality
7. β
Execution-verified output β tests are validated to parse before returning
Pipeline (iterative until Grade A):
AGENT 1: Analyzer β AST complexity + behavior extraction + gap detection
AGENT 2: Generator β Adaptive, context-rich, few-shot LLM generation
AGENT 3: Validator β Syntax check + execution + quality scoring
AGENT 4: Refiner β Mutation EXECUTION feedback β re-prompt for stronger tests
AGENT 5: Coverage Mapper β AST-based semantic behavior coverage
"""
import re
import ast
import time
import uuid
from typing import Dict, List, Any, Optional, Set
from dataclasses import dataclass, field
from app.services.llm_provider import generate_with_llm
from app.services.novelty_features import (
analyze_code_complexity,
detect_coverage_gaps,
score_test_quality,
suggest_mutations,
execute_mutations,
)
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# BEHAVIOR EXTRACTION (AST-based, Qodo/CodiumAI-style)
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
@dataclass
class Behavior:
"""A testable behavior extracted from code/requirements."""
id: str
description: str
category: str # "happy_path" | "edge_case" | "error_handling" | "security" | "performance"
priority: str # "critical" | "high" | "medium" | "low"
source: str
keywords: List[str] = field(default_factory=list)
tested: bool = False
test_ids: List[str] = field(default_factory=list)
def extract_behaviors(source_code: str = "", requirements: str = "", api_spec: dict = None) -> List[Behavior]:
"""
Extract ALL testable behaviors using deep AST analysis + NLP heuristics.
Each behavior gets semantic keywords for accurate coverage mapping.
"""
behaviors = []
bid = 0
if source_code:
try:
tree = ast.parse(source_code)
for node in ast.walk(tree):
if isinstance(node, (ast.FunctionDef, ast.AsyncFunctionDef)):
fname = node.name
if fname.startswith('_') and fname != '__init__':
continue
params = [a.arg for a in node.args.args if a.arg != 'self']
has_return = any(isinstance(n, ast.Return) and n.value is not None for n in ast.walk(node))
raises = [_get_exception_name(n) for n in ast.walk(node) if isinstance(n, ast.Raise)]
has_loop = any(isinstance(n, (ast.For, ast.While)) for n in ast.walk(node))
conditionals = sum(1 for n in ast.walk(node) if isinstance(n, ast.If))
external_calls = _find_external_calls(node)
# Happy path
behaviors.append(Behavior(
id=f"B{bid:03d}",
description=f"{fname}() returns correct result with valid inputs ({', '.join(params[:4])})",
category="happy_path", priority="critical", source=f"function:{fname}",
keywords=[fname, "valid", "correct", "success"] + params[:3]
))
bid += 1
# Return value type
if has_return:
behaviors.append(Behavior(
id=f"B{bid:03d}",
description=f"{fname}() return value has correct type and structure",
category="happy_path", priority="high", source=f"function:{fname}",
keywords=[fname, "return", "type", "result"]
))
bid += 1
# Edge cases per param
for p in params:
behaviors.append(Behavior(
id=f"B{bid:03d}",
description=f"{fname}() handles None/null for parameter '{p}'",
category="edge_case", priority="high", source=f"function:{fname}",
keywords=[fname, p, "none", "null", "missing"]
))
bid += 1
behaviors.append(Behavior(
id=f"B{bid:03d}",
description=f"{fname}() handles empty/zero value for '{p}'",
category="edge_case", priority="medium", source=f"function:{fname}",
keywords=[fname, p, "empty", "zero", "blank"]
))
bid += 1
# Boundary values for numeric functions
if any(kw in fname.lower() for kw in ['calc', 'compute', 'count', 'sum', 'total', 'price', 'amount', 'score']):
behaviors.append(Behavior(
id=f"B{bid:03d}",
description=f"{fname}() handles boundary values (max int, negative, float precision)",
category="edge_case", priority="high", source=f"function:{fname}",
keywords=[fname, "boundary", "max", "min", "negative", "overflow"]
))
bid += 1
# Exception paths
for exc in set(raises):
behaviors.append(Behavior(
id=f"B{bid:03d}",
description=f"{fname}() raises {exc} on invalid input",
category="error_handling", priority="high", source=f"function:{fname}",
keywords=[fname, "raises", exc.lower(), "error", "invalid", "exception"]
))
bid += 1
# Loop correctness
if has_loop:
behaviors.append(Behavior(
id=f"B{bid:03d}",
description=f"{fname}() loop handles empty collection and single element",
category="edge_case", priority="medium", source=f"function:{fname}",
keywords=[fname, "loop", "empty", "single", "iteration"]
))
bid += 1
# External call mocking
for call in external_calls[:3]:
behaviors.append(Behavior(
id=f"B{bid:03d}",
description=f"{fname}() handles {call} failure/timeout gracefully",
category="error_handling", priority="high", source=f"function:{fname}",
keywords=[fname, call, "mock", "failure", "timeout", "exception"]
))
bid += 1
# Branch coverage
if conditionals >= 2:
behaviors.append(Behavior(
id=f"B{bid:03d}",
description=f"{fname}() all {conditionals} conditional branches produce correct output",
category="happy_path", priority="high", source=f"function:{fname}",
keywords=[fname, "branch", "condition", "if", "else"]
))
bid += 1
except SyntaxError:
pass
# From requirements
if requirements:
sentences = re.split(r'[.\nβ’\-\*]', requirements)
for sent in sentences:
sent = sent.strip()
if len(sent) < 15:
continue
if any(kw in sent.lower() for kw in ['must', 'should', 'can', 'will', 'allow', 'enable', 'support']):
keywords = [w.lower() for w in re.findall(r'\b[a-zA-Z]{4,}\b', sent)][:6]
behaviors.append(Behavior(
id=f"B{bid:03d}", description=sent[:100],
category="happy_path", priority="high", source="requirements",
keywords=keywords
))
bid += 1
if any(kw in sent.lower() for kw in ['error', 'fail', 'invalid', 'reject', 'deny', 'block', 'limit', 'prevent']):
keywords = [w.lower() for w in re.findall(r'\b[a-zA-Z]{4,}\b', sent)][:6]
behaviors.append(Behavior(
id=f"B{bid:03d}", description=f"Negative: {sent[:80]}",
category="error_handling", priority="high", source="requirements",
keywords=keywords + ["error", "invalid", "reject"]
))
bid += 1
if any(kw in sent.lower() for kw in ['auth', 'token', 'permission', 'role', 'encrypt', 'secure', 'inject']):
keywords = [w.lower() for w in re.findall(r'\b[a-zA-Z]{4,}\b', sent)][:6]
behaviors.append(Behavior(
id=f"B{bid:03d}", description=f"Security: {sent[:80]}",
category="security", priority="critical", source="requirements",
keywords=keywords + ["security", "auth"]
))
bid += 1
# From API spec
if api_spec:
for path, methods in api_spec.get("paths", {}).items():
for method, details in methods.items():
if method not in ("get", "post", "put", "patch", "delete"):
continue
path_words = [w for w in re.split(r'[/{}]', path) if w and len(w) > 2]
behaviors.append(Behavior(
id=f"B{bid:03d}",
description=f"{method.upper()} {path} returns success (200/201)",
category="happy_path", priority="critical", source=f"api:{method}:{path}",
keywords=[method, "200", "success"] + path_words
))
bid += 1
behaviors.append(Behavior(
id=f"B{bid:03d}",
description=f"{method.upper()} {path} returns 401 without authentication",
category="security", priority="high", source=f"api:{method}:{path}",
keywords=[method, "401", "auth", "unauthorized", "token"] + path_words
))
bid += 1
behaviors.append(Behavior(
id=f"B{bid:03d}",
description=f"{method.upper()} {path} returns 400/422 with invalid body",
category="error_handling", priority="high", source=f"api:{method}:{path}",
keywords=[method, "400", "422", "invalid", "validation"] + path_words
))
bid += 1
if method in ("post", "put", "patch"):
behaviors.append(Behavior(
id=f"B{bid:03d}",
description=f"{method.upper()} {path} rejects SQL injection in string fields",
category="security", priority="critical", source=f"api:{method}:{path}",
keywords=[method, "sql", "injection", "xss", "sanitize"] + path_words
))
bid += 1
behaviors.append(Behavior(
id=f"B{bid:03d}",
description=f"{method.upper()} {path} respects rate limits (429)",
category="security", priority="medium", source=f"api:{method}:{path}",
keywords=[method, "rate", "limit", "429", "throttle"] + path_words
))
bid += 1
return behaviors
def _get_exception_name(node) -> str:
if node.exc is None:
return "Exception"
if isinstance(node.exc, ast.Call):
if isinstance(node.exc.func, ast.Name):
return node.exc.func.id
elif isinstance(node.exc.func, ast.Attribute):
return node.exc.func.attr
elif isinstance(node.exc, ast.Name):
return node.exc.id
return "Exception"
def _find_external_calls(func_node) -> List[str]:
calls = []
for node in ast.walk(func_node):
if isinstance(node, ast.Call):
if isinstance(node.func, ast.Attribute):
if isinstance(node.func.value, ast.Name):
if node.func.value.id not in ('self', 'cls', 'super'):
calls.append(f"{node.func.value.id}.{node.func.attr}")
return list(set(calls))
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# TEST SYNTAX VALIDATION (FIX: Actually compiles generated tests)
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def validate_test_syntax(test_code: str, language: str = "python") -> Dict[str, Any]:
"""Actually parse/compile generated test code to verify syntax."""
if language == "python":
return _validate_python_syntax(test_code)
elif language in ("javascript", "typescript"):
return _validate_js_syntax(test_code)
return {"valid": True, "errors": [], "warnings": []}
def _validate_python_syntax(code: str) -> Dict[str, Any]:
errors, warnings = [], []
clean_code = re.sub(r'^```\w*\n|```$', '', code, flags=re.MULTILINE).strip()
try:
tree = ast.parse(clean_code)
test_funcs = [n for n in ast.walk(tree) if isinstance(n, ast.FunctionDef) and n.name.startswith('test_')]
test_classes = [n for n in ast.walk(tree) if isinstance(n, ast.ClassDef) and n.name.startswith('Test')]
if not test_funcs and not test_classes:
warnings.append("No test functions (test_*) or test classes (Test*) found")
has_assert = any(isinstance(n, ast.Assert) for n in ast.walk(tree))
has_assert_call = 'assert' in clean_code.lower() or 'raises' in clean_code
if not has_assert and not has_assert_call:
warnings.append("No assertions found in test code")
return {
"valid": True, "errors": errors, "warnings": warnings,
"test_count": len(test_funcs), "class_count": len(test_classes),
"has_assertions": has_assert or has_assert_call,
"lines": len(clean_code.split('\n')),
}
except SyntaxError as e:
return {
"valid": False,
"errors": [f"SyntaxError at line {e.lineno}: {e.msg}"],
"warnings": [], "test_count": 0, "class_count": 0,
"has_assertions": False, "lines": 0,
}
def _validate_js_syntax(code: str) -> Dict[str, Any]:
errors, warnings = [], []
clean_code = re.sub(r'^```\w*\n|```$', '', code, flags=re.MULTILINE).strip()
opens = clean_code.count('{')
closes = clean_code.count('}')
if opens != closes:
errors.append(f"Unbalanced braces: {opens} opening, {closes} closing")
test_blocks = len(re.findall(r'\b(it|test|describe)\s*\(', clean_code))
if test_blocks == 0:
warnings.append("No test blocks (it/test/describe) found")
has_expect = 'expect(' in clean_code or 'assert' in clean_code
if not has_expect:
warnings.append("No assertions (expect/assert) found")
return {
"valid": len(errors) == 0, "errors": errors, "warnings": warnings,
"test_count": test_blocks, "has_assertions": has_expect,
"lines": len(clean_code.split('\n')),
}
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# SEMANTIC COVERAGE MAPPING (FIX: AST-based, not keyword matching)
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
@dataclass
class TestSignature:
name: str
docstring: str = ""
called_functions: List[str] = field(default_factory=list)
keywords: Set[str] = field(default_factory=set)
tests_exception: bool = False
tests_none: bool = False
def map_behavior_coverage_semantic(behaviors: List[Behavior], test_code: str, language: str = "python") -> Dict[str, Any]:
"""FIX: AST-based semantic coverage mapping."""
if language == "python":
test_signatures = _extract_python_test_signatures(test_code)
else:
test_signatures = _extract_js_test_signatures(test_code)
covered = 0
uncovered_list = []
for b in behaviors:
is_covered = _behavior_matches_tests(b, test_signatures)
b.tested = is_covered
if is_covered:
covered += 1
else:
uncovered_list.append({
"id": b.id, "description": b.description,
"priority": b.priority, "category": b.category,
"suggestion": _suggest_test_for_behavior(b),
})
total = max(len(behaviors), 1)
return {
"total_behaviors": len(behaviors),
"covered": covered,
"uncovered": len(behaviors) - covered,
"coverage_pct": round((covered / total) * 100, 1),
"uncovered_behaviors": uncovered_list[:20],
"by_category": {
cat: {
"total": len([b for b in behaviors if b.category == cat]),
"tested": len([b for b in behaviors if b.category == cat and b.tested]),
"coverage_pct": round(
len([b for b in behaviors if b.category == cat and b.tested]) /
max(len([b for b in behaviors if b.category == cat]), 1) * 100, 1
)
}
for cat in set(b.category for b in behaviors)
},
"test_signatures_found": len(test_signatures),
}
def _extract_python_test_signatures(code: str) -> List[TestSignature]:
signatures = []
clean_code = re.sub(r'^```\w*\n|```$', '', code, flags=re.MULTILINE).strip()
try:
tree = ast.parse(clean_code)
except SyntaxError:
return _extract_signatures_regex(code)
for node in ast.walk(tree):
if isinstance(node, ast.FunctionDef) and node.name.startswith('test_'):
sig = TestSignature(name=node.name)
# Docstring
if (node.body and isinstance(node.body[0], ast.Expr) and
isinstance(node.body[0].value, ast.Constant) and isinstance(node.body[0].value.value, str)):
sig.docstring = node.body[0].value.value
# Called functions
for child in ast.walk(node):
if isinstance(child, ast.Call):
if isinstance(child.func, ast.Name):
sig.called_functions.append(child.func.id)
elif isinstance(child.func, ast.Attribute):
sig.called_functions.append(child.func.attr)
# Exception testing
sig.tests_exception = any(
isinstance(child, ast.Call) and isinstance(child.func, ast.Attribute) and child.func.attr == 'raises'
for child in ast.walk(node)
) or 'raises' in node.name or 'error' in node.name or 'exception' in node.name
sig.tests_none = 'none' in node.name.lower() or 'null' in node.name.lower()
# Keywords from name + docstring
name_words = set(node.name.replace('test_', '').split('_'))
doc_words = set(re.findall(r'\b[a-z]{3,}\b', sig.docstring.lower())) if sig.docstring else set()
sig.keywords = name_words | doc_words | set(sig.called_functions)
signatures.append(sig)
return signatures
def _extract_js_test_signatures(code: str) -> List[TestSignature]:
signatures = []
for match in re.finditer(r"(?:it|test)\s*\(\s*['\"](.+?)['\"]", code):
desc = match.group(1)
sig = TestSignature(name=desc, docstring=desc)
sig.keywords = set(re.findall(r'\b[a-z]{3,}\b', desc.lower()))
sig.tests_exception = any(kw in desc.lower() for kw in ['error', 'throw', 'reject', 'fail'])
sig.tests_none = any(kw in desc.lower() for kw in ['null', 'undefined', 'empty'])
signatures.append(sig)
return signatures
def _extract_signatures_regex(code: str) -> List[TestSignature]:
signatures = []
for match in re.finditer(r'def (test_\w+)', code):
name = match.group(1)
sig = TestSignature(name=name)
sig.keywords = set(name.replace('test_', '').split('_'))
sig.tests_exception = 'raises' in name or 'error' in name
sig.tests_none = 'none' in name or 'null' in name
signatures.append(sig)
return signatures
def _behavior_matches_tests(behavior: Behavior, signatures: List[TestSignature]) -> bool:
"""Semantic matching using multi-signal scoring."""
b_keywords = set(kw.lower() for kw in behavior.keywords if len(kw) > 2)
b_desc_words = set(re.findall(r'\b[a-z]{4,}\b', behavior.description.lower()))
all_b_words = b_keywords | b_desc_words
for sig in signatures:
score = 0
overlap = all_b_words & sig.keywords
score += len(overlap) * 2
for kw in b_keywords:
if kw in sig.name.lower():
score += 3
if sig.docstring:
doc_overlap = all_b_words & set(re.findall(r'\b[a-z]{3,}\b', sig.docstring.lower()))
score += len(doc_overlap)
if behavior.category == "error_handling" and sig.tests_exception:
score += 3
if behavior.category == "edge_case" and sig.tests_none:
score += 2
if behavior.category == "edge_case" and any(kw in sig.name for kw in ['empty', 'zero', 'boundary', 'edge']):
score += 3
if behavior.category == "security" and any(kw in sig.name for kw in ['inject', 'auth', 'xss', 'sql', 'security']):
score += 3
source_func = behavior.source.split(':')[-1] if ':' in behavior.source else ""
if source_func and source_func in sig.called_functions:
score += 4
if score >= 4:
return True
return False
def _suggest_test_for_behavior(behavior: Behavior) -> str:
func = behavior.source.split(':')[-1] if ':' in behavior.source else "target"
if behavior.category == "edge_case":
return f"def test_{func}_edge_{behavior.id.lower()}(): # {behavior.description[:50]}"
elif behavior.category == "error_handling":
return f"def test_{func}_raises_on_invalid(): # pytest.raises(...)"
elif behavior.category == "security":
return f"def test_{func}_rejects_malicious_input(): # injection payloads"
return f"def test_{func}_{behavior.id.lower()}(): # {behavior.description[:40]}"
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# MULTI-AGENT ITERATIVE REFINEMENT ENGINE (v2)
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
async def run_multi_agent_pipeline(
source_code: str = "",
requirements: str = "",
api_spec: dict = None,
framework: str = "pytest",
language: str = "python",
test_types: List[str] = None,
max_iterations: int = 3,
) -> Dict[str, Any]:
"""
Full multi-agent iterative refinement pipeline (v2).
Now with real mutation execution, syntax validation, and semantic coverage.
"""
start_time = time.time()
run_id = f"MAS-{uuid.uuid4().hex[:8]}"
test_types = test_types or ["unit", "integration", "edge_case", "security"]
max_iterations = min(max_iterations, 5)
# βββ AGENT 1: ANALYZER βββ
analysis = {
"behaviors": extract_behaviors(source_code, requirements, api_spec),
"complexity": analyze_code_complexity(source_code, language) if source_code else None,
"gaps": detect_coverage_gaps(source_code) if source_code else None,
}
suggested_tests = 15
if analysis["complexity"]:
suggested_tests = max(10, min(30, analysis["complexity"].get("suggested_total_tests", 15)))
# βββ AGENT 2: GENERATOR βββ
input_context = _build_rich_context(source_code, requirements, api_spec, analysis)
system_prompt = _build_system_prompt(framework, language, suggested_tests)
gen_prompt = f"""Generate {framework} tests in {language}.
Test types: {', '.join(test_types)}
Target: {suggested_tests}+ test functions.
CONTEXT:
{input_context}
BEHAVIORS TO TEST ({len(analysis['behaviors'])} identified):
{chr(10).join(f'- [{b.priority.upper()}][{b.category}] {b.description}' for b in analysis['behaviors'][:25])}
{_get_few_shot_example(framework, language)}
Generate the complete test file now:"""
raw_tests = await generate_with_llm(gen_prompt, system_prompt, temperature=0.3)
# βββ AGENT 3: VALIDATOR βββ
syntax_result = validate_test_syntax(raw_tests, language)
quality_score = score_test_quality(raw_tests)
# Fix syntax if broken
if not syntax_result["valid"]:
fix_prompt = f"""Fix the syntax errors in these tests.
ERRORS: {chr(10).join(syntax_result['errors'])}
```
{raw_tests[:4000]}
```
Output the FIXED complete test code:"""
raw_tests = await generate_with_llm(fix_prompt, system_prompt, temperature=0.1)
syntax_result = validate_test_syntax(raw_tests, language)
quality_score = score_test_quality(raw_tests)
# βββ AGENT 4: REFINER βββ
refined_tests = raw_tests
refinement_history = []
mutation_results = None
for iteration in range(max_iterations):
if quality_score["overall"] >= 85 and syntax_result.get("valid", True):
break
# Real mutation execution
if source_code and language == "python":
mutation_results = execute_mutations(source_code, refined_tests)
else:
mutation_results = suggest_mutations(source_code) if source_code else {"mutations": [], "total_mutations": 0}
weak_areas = _identify_weaknesses(quality_score, mutation_results, syntax_result)
if not weak_areas:
break
mutation_feedback = ""
if mutation_results and mutation_results.get("surviving_mutants"):
survivors = mutation_results["surviving_mutants"][:5]
mutation_feedback = f"""
SURVIVING MUTANTS (tests FAILED to catch these):
{chr(10).join(f' β’ Line {m["line"]}: {m["description"]}' for m in survivors)}
Write tests that KILL these mutants."""
refine_prompt = f"""IMPROVE tests. Quality: {quality_score['overall']}/100 (Grade {quality_score['grade']}).
WEAKNESSES:
{chr(10).join(f'{i+1}. {w}' for i, w in enumerate(weak_areas))}
{mutation_feedback}
CURRENT TESTS:
```
{refined_tests[:4000]}
```
Keep all good tests, ADD new ones for gaps. Output COMPLETE improved test file:"""
refined_tests = await generate_with_llm(refine_prompt, system_prompt, temperature=0.2)
syntax_result = validate_test_syntax(refined_tests, language)
new_quality = score_test_quality(refined_tests)
refinement_history.append({
"iteration": iteration + 1,
"quality_before": quality_score["overall"],
"quality_after": new_quality["overall"],
"weaknesses_addressed": weak_areas,
"mutation_survivors": mutation_results.get("surviving_count", 0) if mutation_results else 0,
"syntax_valid": syntax_result.get("valid", True),
})
quality_score = new_quality
# βββ AGENT 5: COVERAGE MAPPER βββ
behavior_coverage = map_behavior_coverage_semantic(analysis["behaviors"], refined_tests, language)
final_syntax = validate_test_syntax(refined_tests, language)
processing_time = (time.time() - start_time) * 1000
return {
"run_id": run_id,
"pipeline": "multi-agent-iterative-v2",
"status": "completed",
"timestamp": time.strftime("%Y-%m-%dT%H:%M:%SZ"),
"test_code": refined_tests,
"test_files": _parse_to_files(refined_tests, framework, language),
"quality": quality_score,
"iterations_performed": len(refinement_history),
"refinement_history": refinement_history,
"syntax_validation": final_syntax,
"behavior_coverage": behavior_coverage,
"mutation_testing": {
"total_mutants": mutation_results.get("total_mutations", 0) if mutation_results else 0,
"killed": mutation_results.get("killed_count", 0) if mutation_results else 0,
"survived": mutation_results.get("surviving_count", 0) if mutation_results else 0,
"mutation_score": mutation_results.get("mutation_score", 0) if mutation_results else 0,
"surviving_mutants": mutation_results.get("surviving_mutants", [])[:10] if mutation_results else [],
},
"analysis": {
"total_behaviors": len(analysis["behaviors"]),
"behaviors_tested": behavior_coverage["covered"],
"behaviors_untested": behavior_coverage["uncovered"],
"coverage_pct": behavior_coverage["coverage_pct"],
"complexity": analysis.get("complexity"),
"gaps": analysis.get("gaps"),
},
"processing_time_ms": round(processing_time, 1),
}
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# HELPERS
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def _build_system_prompt(framework: str, language: str, target_tests: int) -> str:
return f"""You are TestGenius, an expert QA automation engineer.
Generate COMPREHENSIVE, RUNNABLE {framework} test code in {language}.
RULES:
1. Include ALL necessary imports.
2. Every test MUST have 2+ assertions.
3. Descriptive names: test_<what>_<scenario>_<expected>.
4. Docstring per test explaining what's verified.
5. Cover: happy path, edge cases, boundary values, errors.
6. For errors: verify exception type AND message.
7. Mock external dependencies properly.
8. Generate {target_tests}+ test functions.
9. Group related tests logically.
10. Output ONLY valid {language} code in a single code block."""
def _build_rich_context(code: str, reqs: str, api: dict, analysis: dict) -> str:
parts = []
if code:
parts.append(f"SOURCE CODE:\n```\n{code[:4000]}\n```")
if analysis.get("complexity"):
c = analysis["complexity"]
high_funcs = [f for f in c.get("functions", []) if f.get("priority") == "HIGH"]
if high_funcs:
parts.append("β οΈ HIGH-COMPLEXITY FUNCTIONS:\n" +
"\n".join(f" β’ {f['name']}() β complexity {f['complexity']}, needs {f['suggested_tests']}+ tests" for f in high_funcs))
if analysis.get("gaps"):
g = analysis["gaps"]
if g.get("high_priority", 0) > 0:
parts.append(f"β οΈ COVERAGE GAPS ({g['high_priority']} high-priority):\n" +
"\n".join(f" β’ {gap['desc']}" for gap in g.get("gaps", [])[:5] if gap["priority"] == "HIGH"))
if reqs:
parts.append(f"REQUIREMENTS:\n{reqs[:2500]}")
if api:
endpoints = []
for path, methods in api.get("paths", {}).items():
for method in methods:
if method in ("get", "post", "put", "patch", "delete"):
endpoints.append(f" {method.upper()} {path}")
parts.append(f"API ENDPOINTS:\n{chr(10).join(endpoints[:20])}")
return "\n\n".join(parts)
def _get_few_shot_example(framework: str, language: str) -> str:
if framework == "pytest" and language == "python":
return """
EXAMPLE OF IDEAL QUALITY:
```python
import pytest
def test_calculate_discount_premium_user_gets_20_percent():
\"\"\"Premium users receive exactly 20% discount.\"\"\"
result = calculate_discount(100.0, "premium")
assert result == 20.0
assert isinstance(result, float)
def test_calculate_discount_negative_price_raises_value_error():
\"\"\"Negative prices must raise ValueError.\"\"\"
with pytest.raises(ValueError, match="Price must be positive"):
calculate_discount(-10, "standard")
@pytest.mark.parametrize("user_type,expected", [("premium", 20.0), ("member", 10.0)])
def test_calculate_discount_user_types(user_type, expected):
\"\"\"Each user type gets correct discount.\"\"\"
assert calculate_discount(100.0, user_type) == expected
```
Follow this pattern."""
elif framework in ("jest", "vitest"):
return """
EXAMPLE:
```javascript
describe('calculateDiscount', () => {
test('premium user gets 20% discount', () => {
const result = calculateDiscount(100, 'premium');
expect(result).toBe(20);
expect(typeof result).toBe('number');
});
test('throws for negative price', () => {
expect(() => calculateDiscount(-10, 'standard')).toThrow('Price must be positive');
});
});
```"""
return ""
def _identify_weaknesses(quality: Dict, mutations: Dict, syntax: Dict) -> List[str]:
weak_areas = []
if not syntax.get("valid", True):
weak_areas.append(f"FIX SYNTAX: {'; '.join(syntax.get('errors', [])[:3])}")
scores = quality.get("scores", {})
if scores.get("edge_cases", 0) < 7:
weak_areas.append("ADD EDGE CASES: None, empty, boundary, Unicode, negative")
if scores.get("error_handling", 0) < 7:
weak_areas.append("ADD ERROR TESTS: invalid types, missing fields, pytest.raises()")
if scores.get("assertions", 0) < 7:
weak_areas.append("STRENGTHEN ASSERTIONS: 2+ per test, check type AND value")
if scores.get("docs", 0) < 5:
weak_areas.append("ADD DOCSTRINGS per test")
if scores.get("isolation", 0) < 6:
weak_areas.append("ADD FIXTURES: @pytest.fixture or mock externals")
if mutations and mutations.get("surviving_mutants"):
weak_areas.append(f"KILL {mutations.get('surviving_count', 0)} surviving mutations")
return weak_areas[:5]
def _parse_to_files(raw: str, framework: str, language: str) -> List[Dict]:
files = []
code_blocks = re.findall(r'```(?:\w+)?\s*(.*?)```', raw, re.DOTALL)
if code_blocks:
for i, block in enumerate(code_blocks):
block = block.strip()
if not block or len(block) < 20:
continue
ext = ".py" if language == "python" else ".js" if language in ("javascript", "typescript") else ".go"
files.append({
"filename": f"test_generated_{i+1}{ext}" if i > 0 else f"test_generated{ext}",
"framework": framework, "language": language, "code": block,
"num_tests": block.count("def test_") + block.count("it(") + block.count("test("),
})
else:
ext = ".py" if language == "python" else ".js"
files.append({
"filename": f"test_generated{ext}",
"framework": framework, "language": language, "code": raw,
"num_tests": raw.count("def test_") + raw.count("it(") + raw.count("test("),
})
return files
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