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5.3Implementation
class SwarmTestGenerator:
def __init__(self, agents: list[Agent], reconciler: Reconciler):
self.agents = agents
self.reconciler = reconciler
async def generate_suite(self, codebase_path: str) -> TestSuite:
# Each agent independently analyzes and generates tests
tasks = [
agent.analyze_and_generate(codebase_path)
for agent in self.agents
]
raw_suites = await asyncio.gather(*tasks)
# Reconciler merges, deduplicates, and resolves conflicts
merged = self.reconciler.merge(raw_suites)
deduplicated = self.reconciler.remove_duplicates(merged)
return self.reconciler.resolve_conflicts(deduplicated)
Swarm Agent Implementation
Each agent in the swarm is focused on its module:
class ModuleTestAgent:
def __init__(self, module_path: str, llm):
self.module_path = module_path
self.llm = llm
async def analyze_and_generate(self, codebase_path: str) -> RawTestSuite:
# Step 1: Read the module source files
source_files = self.read_module_files(
os.path.join(codebase_path, self.module_path)
)
# Step 2: Identify testable functions/classes
analysis = self.llm.generate(f"""
Analyze these source files and identify all testable functions:
{source_files}
For each function, list:
- Function name and signature
- What it does (one sentence)
- Input constraints (from type hints, validation, decorators)
- Error paths (exceptions raised, error returns)
- Dependencies (other functions called, external services)
""")
# Step 3: Generate tests for each function
tests = self.llm.generate(f"""
Based on this analysis:
{analysis}
Generate a test file with:
- At least 2 tests per function (happy path + error case)
- Boundary value tests for constrained inputs
- Parametrized tests for enum/boolean parameters
- Proper fixtures for database/HTTP mocking
Module path: {self.module_path}
Framework: pytest
""")
return RawTestSuite(
module=self.module_path,
tests=tests,
agent_id=self.agent_id,
analysis=analysis
)