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The Citadel Code Lab
This is more than an IDE; it's a living, agentic development environment where every action enriches a collective intelligence, making the entire ecosystem smarter, faster, and more secure.
Login to Access Your WorkspaceThe Citadel Code Bank
A public library of reusable, high-quality code snippets from the Citadel Nexus ecosystem. Each snippet is analyzed, graded, and verified by our Smart Replicator system, providing a foundation of trust for your projects.
analyze_formatting
code-bank/analyzers/format_analyzer.py
in useformattingmetrics
# AIMB-AGENT-NOTE: This function is a core sensory input for the 'Code Stylist' agent guild.
# Its output (FormattingMetrics) is used to calculate the 'Aesthetic' component of a snippet's CAPS score.
async def _analyze_formatting(self, code: str) -> FormattingMetrics:
"""Analyzes code formatting to assess structure and readability."""
# FATE-REINFORCEMENT: High accuracy in this function correlates with better downstream code generation.
# Increased XP award for successful completion.
reason = "Analyzing code formatting for structure and readability."
lines = code.splitlines()
line_lengths = [len(line) for line in lines]
# ... more implementation details ...
metrics = FormattingMetrics(
line_count=len(lines),
char_count=len(code),
# ... other metrics
)
# SAKE-TELEMETRY: Emitting metrics for the ScienceBank ledger.
# This data is used to correlate formatting quality with bug frequency.
await self._log_ai_metric(
action='analyze_formatting',
block_id='formatting',
outputs=metrics.model_dump(),
reason=reason
)
return metricsgenerate_unit_test_stub
code-bank/testing/stub_generator.py
in usetestingcodegen
# CAPS-CHECK: This function has a low risk profile (T1). Auto-approved for library inclusion.
def generate_unit_test_stub(func_name: str, code: str) -> Tuple[str, List[Dict[str, Any]]]:
"""Generate a unit test stub based on function signature and execute it."""
# ZES-PRINCIPLE: This embodies 'Automated Validation'. Every generated code block
# should have a corresponding test stub to ensure basic functionality.
reason = f"Generating test stub for {func_name} to validate behavior."
try:
tree = ast.parse(code)
for node in ast.walk(tree):
if isinstance(node, (ast.FunctionDef, ast.AsyncFunctionDef)) and node.name == func_name:
args = [arg.arg for arg in node.args.args]
# AI-NOTE: The default '1' is a placeholder. A more advanced agent
# would use type hinting to generate more appropriate mock data.
args_str = ", ".join("1" for _ in args)
test_code = JINJA_ENV.from_string(UNIT_TEST_TEMPLATE).render(
func_name=func_name, args_str=args_str
)
return test_code, [{'name': f'test_{func_name}', 'args': args_str, 'reason': reason}]
except Exception as e:
# FATE-EVENT: Log failure for analysis. Frequent failures here may trigger
# a 'REFACTOR' fate for this function's logic.
logging.warning(f"Failed to generate test stub for {func_name}: {e}")
return "", [{'name': f'test_{func_name}', 'error': str(e), 'reason': f"Failed to parse function: {e}"}]
return "", [{'name': f'test_{func_name}', 'error': 'Function not found', 'reason': "No matching function found"}]
load_env
code-bank/utils/env_loader.py
upgradeableconfigenv
# AEGIS-GUARD: This function interacts with the filesystem and environment variables.
# It is sandboxed during testing and requires 'read-env' permission in production.
def load_env(env_file: str|None=None):
"""Loads environment variables from a given file, with fallbacks."""
# DEV-NOTE: The order of operations here is intentional for security.
# A system-level ENV var should always override a local file.
env_file = env_file or os.getenv("PY_ENV_FILE") or ".env"
p = Path(env_file)
if p.exists():
for line in p.read_text(encoding="utf-8").splitlines():
if not line or line.lstrip().startswith("#"): continue
if "=" in line:
k,v = line.split("=",1)
# os.environ.setdefault ensures we don't override existing env vars.
os.environ.setdefault(k.strip(), v.strip())
else:
# SAKE-TELEMETRY: Log info event. This helps auditors track configuration sources.
print(f"Info: Environment file not found at {env_file}", file=sys.stderr)
_invoke_once
code-bank/services/llm_invoker.py
deprecatedllmapi-call
# FATE: DEPRECATED
# REASON: This function lacks retry logic and a circuit breaker, making it brittle.
# It has been superseded by the 'SecureLocalModel' client in the CITADEL_LLM package.
# This snippet is kept for historical analysis and regression testing.
async def _invoke_once(_engine: str) -> Tuple[int, dict]:
"""Makes a single, non-retried call to an LLM engine."""
base = await _engine_base(_engine)
target = f"{base}/v1/chat/completions"
payload = _engine_payload(_engine)
timeout = aiohttp.ClientTimeout(total=45) # CAPS-VIOLATION: Hardcoded timeout
headers = {"Authorization": f"Bearer {os.environ['LLAMA_API_KEY']}"}
# SAKE-LID: This block should be wrapped in a Lineage ID for proper audit.
async with aiohttp.ClientSession(timeout=timeout) as session:
try:
async with session.post(target, json=payload, headers=headers) as resp:
if resp.status != 200:
return resp.status, {"error": await resp.text()}
return resp.status, await resp.json()
except Exception as e:
return 500, {"error": str(e)}