Update dependencies, increase test coverage, and fix code issues #19
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- Update requirements.txt with current package versions - Remove unused dependencies (database, message queue, cloud packages) - Fix agents/__init__.py to export correct classes (was referencing non-existent AgentSpecialization) - Fix deprecated datetime.utcnow() usage in agents/base.py - Fix __str__ and __repr__ methods to handle enum value conversion - Add comprehensive test suite with 45 tests across 3 files: - test_multiagent_simple.py: Core agent and task tests - test_orchestrator.py: Orchestration and team tests - test_integration.py: Workflow and scalability tests - Add conftest.py with pytest fixtures Co-authored-by: openhands <openhands@all-hands.dev>
- Update all agent files to use timezone-aware datetime.now(timezone.utc) - Add timezone import where needed - Addresses Python deprecation warning for datetime.utcnow() Affected files: - api_server.py - application_builder.py - autonomous_crew.py - crew.py - hierarchy.py - master_agent.py - orchestrator.py - problem_solver.py - problem_solving.py - voting.py Co-authored-by: openhands <openhands@all-hands.dev>
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Note Other AI code review bot(s) detectedCodeRabbit has detected other AI code review bot(s) in this pull request and will avoid duplicating their findings in the review comments. This may lead to a less comprehensive review. WalkthroughVersion bumped to 1.0.0; agent package public API expanded. Naive UTC datetimes replaced with timezone-aware UTC across agent modules. Large additions: test suites, module registry, config manager, CLI/tools, docs generator, project health checker, Makefile, and bash helper scripts. Changes
Sequence Diagram(s)sequenceDiagram
participant User as "User/Terminal"
participant CLI as "bashd-cli (scripts/bashd_cli.py)"
participant Registry as "ModuleRegistry (lib/module_registry.py)"
participant Config as "ConfigManager (lib/config_manager.py)"
participant FS as "Filesystem"
rect rgba(60,120,216,0.5)
User->>CLI: run "bashd-cli modules list"
CLI->>Registry: list(type)?
Registry->>FS: scan directories (agents/tools/functions)
FS-->>Registry: file list & metadata
Registry-->>CLI: modules table
CLI-->>User: render table (Rich)
end
rect rgba(20,160,80,0.5)
User->>CLI: run "bashd-cli config show mycfg"
CLI->>Config: load("mycfg")
Config->>FS: read file (yaml/json)
FS-->>Config: content
Config->>Config: interpolate env, validate
Config-->>CLI: config data
CLI-->>User: render config
end
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Summary of ChangesHello @cbwinslow, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request delivers substantial improvements to the project's foundation by modernizing its dependencies, significantly expanding its test suite, and rectifying several key code issues. The dependency updates ensure compatibility and leverage newer features of essential libraries, while the extensive new tests provide robust validation for the multi-agent system's core components and complex interactions. These changes collectively enhance the system's reliability, maintainability, and future extensibility. Highlights
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Code Review
This pull request is a significant update that modernizes dependencies, cleans up unused packages, fixes the usage of deprecated datetime.utcnow(), and substantially increases test coverage. The changes are well-executed and improve the overall quality of the codebase. My review includes a few suggestions to enhance consistency and clarify the intent of the new tests.
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| """ | |||
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This file is named test_integration.py, but it does not seem to perform true integration testing of the system's components. The tests simulate workflows by manually manipulating the state of Task and BaseAgent objects (e.g., setting task.status = TaskStatus.COMPLETED) rather than allowing the system components like AgentOrchestrator to manage state transitions.
For genuine integration tests, you should have components interact with each other as they would in a running system. For example, an orchestrator should run and dispatch tasks to agents, and agents should execute them. This would provide more confidence that the different parts of the system work together correctly. The current tests are more akin to unit tests for the data models.
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| """ | |||
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The tests in this file are valuable for verifying the behavior of the base agent and task models. However, the filename test_orchestrator.py is misleading as the tests do not import or exercise the AgentOrchestrator class from agents/orchestrator.py. Instead, they simulate orchestration logic within the tests themselves.
To provide effective testing for the orchestrator, these tests should be refactored to instantiate AgentOrchestrator, register agents, submit tasks, and assert the orchestrator's behavior. Alternatively, if the intent is to test agent workflows at a model level, consider renaming the file to something like test_agent_workflows.py to more accurately reflect its content.
| def utc_now() -> datetime: | ||
| """Get current UTC time (timezone-aware)""" | ||
| return datetime.now(timezone.utc) |
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The introduction of the utc_now helper function is a great improvement for ensuring timezone-aware datetimes. To maximize its benefit and improve consistency across the package, consider making it a public utility.
Currently, other modules use datetime.now(timezone.utc) or lambda: datetime.now(timezone.utc). By exporting utc_now from the agents package (via agents/__init__.py), you could replace all these instances with a single, consistent function call.
For example:
- In Pydantic models:
default_factory=utc_now - In regular classes:
self.timestamp = utc_now()
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| # Core AI and ML Libraries | ||
| openai>=1.0.0 | ||
| anthropic>=0.7.0 | ||
| pydantic>=2.5.0 | ||
| pydantic-ai>=0.0.13 | ||
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|
||
| # Message Queue and Communication | ||
| pika>=1.3.0 # RabbitMQ client | ||
| redis>=5.0.0 | ||
| celery>=5.3.0 | ||
| openai>=1.50.0 | ||
| anthropic>=0.40.0 | ||
| pydantic>=2.10.0 | ||
| pydantic-ai>=1.0.0 |
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The requirements list no longer includes pika or redis, but the messaging layer (crewai_config/communication/messaging.py) imports those libraries and CrewCommunication defaults to rabbitmq_enabled=True/redis_enabled=True. In a fresh install using this requirements.txt, those transports will be unavailable, so CrewMessagingHub will silently drop messages (or raise ImportError if RabbitMQMessenger/RedisMessenger is used directly), breaking inter‑agent communication when users rely on the default config. Consider keeping these dependencies or explicitly moving them to optional extras and disabling the defaults.
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Actionable comments posted: 12
Caution
Some comments are outside the diff and can’t be posted inline due to platform limitations.
⚠️ Outside diff range comments (7)
agents/api_server.py (2)
64-70: Security concern: Wildcard CORS origin is overly permissive.
allow_origins=["*"]combined withallow_credentials=Trueis a dangerous combination. While browsers typically block credentials with wildcard origins, this configuration signals intent that may be misconfigured in production.For a production deployment, restrict origins to known frontends. For local/homelab use, consider environment-based configuration.
🔒 Suggested fix
+import os + +ALLOWED_ORIGINS = os.getenv("ALLOWED_ORIGINS", "http://localhost:3000").split(",") + app.add_middleware( CORSMiddleware, - allow_origins=["*"], + allow_origins=ALLOWED_ORIGINS, allow_credentials=True, allow_methods=["*"], allow_headers=["*"], )
165-167: Fire-and-forget task lacks tracking for graceful shutdown.
asyncio.create_task()without storing the task reference means you can't await or cancel it during shutdown. If the server shuts down mid-build, the task may be aborted ungracefully.Consider storing task references in a set and awaiting them in the lifespan shutdown handler.
♻️ Suggested improvement
# Global instances orchestrator: Optional[AgentOrchestrator] = None builder: Optional[ApplicationBuilder] = None active_builds: Dict[str, Dict] = {} websocket_connections: List[WebSocket] = [] +active_tasks: Set[asyncio.Task] = set() # In create_build: - asyncio.create_task(execute_build(build_id, idea, request.autonomous)) + task = asyncio.create_task(execute_build(build_id, idea, request.autonomous)) + active_tasks.add(task) + task.add_done_callback(active_tasks.discard) # In lifespan shutdown: + for task in active_tasks: + task.cancel() + await asyncio.gather(*active_tasks, return_exceptions=True)agents/autonomous_crew.py (2)
549-561: Potential division by zero and missing null check.The average time calculation on line 549-552 iterates over
completed_tasksbut the divisormax(len(self.completed_tasks), 1)doesn't account for tasks wherestarted_atorcompleted_atmight beNone(filtered out by the comprehension). If all completed tasks lack timestamps, the sum would be 0 but the divisor would belen(completed_tasks)which could be non-zero, leading to misleading metrics.Also, the current divisor should use the count of tasks that actually contributed to the sum.
♻️ Safer average calculation
- avg_time = sum( - (t.completed_at - t.started_at).total_seconds() - for t in self.completed_tasks if t.started_at and t.completed_at - ) / max(len(self.completed_tasks), 1) + timed_tasks = [ + (t.completed_at - t.started_at).total_seconds() + for t in self.completed_tasks if t.started_at and t.completed_at + ] + avg_time = sum(timed_tasks) / len(timed_tasks) if timed_tasks else 0.0
605-607: Potential AttributeError if timestamps are None.Line 607 calculates duration assuming both
completed_atandstarted_atare set, but theor 0fallback only triggers if the entire expression is falsy. Ifstarted_atisNonebutcompleted_atis set,completed_at - started_atwill raiseTypeError.The null check should guard the subtraction, not just the result.
🐛 Proposed fix
async def _finalize_execution(self) -> Dict[str, Any]: """Finalize execution and gather results""" - duration = (self.completed_at - self.started_at).total_seconds() if self.completed_at and self.started_at else 0 + if self.completed_at and self.started_at: + duration = (self.completed_at - self.started_at).total_seconds() + else: + duration = 0.0agents/base.py (3)
20-29: Clarify semantic distinction betweenBUSYandWORKINGstates.Both
BUSYandWORKINGsuggest the agent is actively engaged. The codebase referencesWORKINGinupdate_status(line 279) but usesIDLEfor availability checks. Consider documenting the intended difference or consolidating if they're equivalent.
300-314: Critical bug:self.status.valuewill raiseAttributeErrorwhen status is a string.With
use_enum_values=Truein the model config,self.statusbecomes a plain string after validation (e.g.,"idle"instead ofAgentStatus.IDLE). Line 307 calls.valueon it, which will fail at runtime:AttributeError: 'str' object has no attribute 'value'The
__str__and__repr__methods were correctly updated withhasattrguards, buthealth_checkwas missed.🐛 Proposed fix
def health_check(self) -> Dict[str, Any]: """Perform a health check and return status""" self.metrics.last_health_check = utc_now() + status_val = self.status.value if hasattr(self.status, 'value') else self.status return { "agent_id": self.id, "name": self.name, - "status": self.status.value, - "is_healthy": self.status not in [AgentStatus.ERROR, AgentStatus.STOPPED], + "status": status_val, + "is_healthy": status_val not in [AgentStatus.ERROR.value, AgentStatus.STOPPED.value], "uptime_seconds": self.metrics.uptime_seconds, "tasks_in_queue": len(self.task_queue), "current_task": self.current_task.id if self.current_task else None, "metrics": self.metrics.model_dump(), "last_check": self.metrics.last_health_check.isoformat() }Alternatively, consider adding a helper method to consistently extract status/type values throughout the class to avoid repeating this pattern.
232-237: The enum comparison works due tostrinheritance, but consider explicit handling.With
use_enum_values=True,self.statusis a plain string. The comparisonself.status == AgentStatus.IDLEworks becauseAgentStatusinherits fromstr. However, this implicit behavior might confuse maintainers.For consistency with
__str__/__repr__, consider:def is_available(self) -> bool: """Check if agent is available to accept new tasks""" status_val = self.status.value if hasattr(self.status, 'value') else self.status return ( status_val == AgentStatus.IDLE.value and len(self.task_queue) < self.config.concurrency_limit )
🤖 Fix all issues with AI agents
In `@agents/autonomous_crew.py`:
- Around line 69-78: The Decision.id generation in the Decision.__init__ uses
datetime.now(timezone.utc).timestamp() which can collide under concurrent
creations; update Decision.__init__ to generate a robust unique id (e.g., use
uuid.uuid4() or append a secure random suffix) instead of relying solely on
timestamp, updating the id assignment for the Decision class and ensuring any
consumers of Decision.id still work with the new string format.
In `@requirements.txt`:
- Around line 2-39: The requirements file currently uses broad >= pins which can
introduce breaking changes; update the dependency specifications in
requirements.txt for key packages (openai, pydantic, anthropic, fastapi, and
other infra-critical packages listed) to use compatible-release operators (~=)
or exact version pins instead of >= (e.g., change openai>=1.50.0 to
openai~=1.50.0 or openai==1.50.0) and do the same for pydantic, anthropic,
fastapi, httpx, uvicorn, and any other runtime-critical libs, then add automated
tooling (Dependabot or Renovate) to manage and propose controlled updates.
- Around line 2-39: Replace loose >= version specifiers in requirements.txt with
pinned or tilde constraints for production stability: for critical packages like
openai, anthropic, pydantic, pydantic-ai, fastapi and uvicorn use exact pins
(==) or tilde pins (~=) instead of >= (e.g., change openai>=1.50.0 and
anthropic>=0.40.0 to openai~=1.50.0 or openai==1.50.0, anthropic~=0.40.0 or
anthropic==0.40.0), and apply the same pattern to other dependencies listed
(requests, httpx, pydantic-settings, pytest, mypy, ruff, etc.) to prevent
accidental major-version upgrades while allowing safe patch/minor updates where
appropriate.
In `@tests/conftest.py`:
- Around line 1-3: Update the module docstring at the top of the conftest.py
file to replace the incorrect "bash.d" phrase with a correct description like
"multi-agent system tests" (or another accurate project-specific term); edit the
top-level docstring string literal so it reads e.g. "Pytest configuration and
fixtures for multi-agent system tests" to accurately describe the file.
In `@tests/test_integration.py`:
- Around line 144-146: The test currently bypasses execution by directly setting
write_task.status = TaskStatus.COMPLETED and calling
author.record_task_completion(); instead, invoke the real workflow executor
(e.g., AgentCrew.execute_workflow or the agent/crew method that runs tasks) to
drive the task lifecycle, wait for completion, then assert write_task.status and
that author.record_task_completion was called/behaved as expected; update the
test to trigger the orchestration rather than mutating TaskStatus directly and
use the real task execution path (references: write_task, TaskStatus,
author.record_task_completion, AgentCrew.execute_workflow).
- Around line 5-10: Replace the fragile runtime modification of sys.path (the
call to sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..')) found
in tests/test_integration.py) with a static pytest configuration; add pythonpath
= ["."] under [tool.pytest.ini_options] in pyproject.toml or set pythonpath in
pytest.ini, then remove the sys.path.insert line so imports are handled by
pytest's configuration rather than manipulating sys.path at runtime.
- Around line 23-60: Rename the test class TestAgentCommunication to
TestAgentMessageModel (and update its docstring) because the tests only validate
AgentMessage construction rather than runtime messaging; locate the class
definition named TestAgentCommunication and change the class name and its
triple-quoted description to reflect it is testing the AgentMessage model,
keeping the existing test methods (test_message_exchange,
test_broadcast_message) and assertions unchanged.
- Around line 183-184: The test mutates the shared programming_agent fixture by
setting programming_agent.config.concurrency_limit = 1000 which can leak state;
instead create a fresh agent instance or dedicated fixture with the desired
concurrency. Replace the mutation with constructing a new BaseAgent (e.g.,
BaseAgent(name="High Capacity Agent", type=AgentType.PROGRAMMING,
description="...", config=AgentConfig(concurrency_limit=1000))) and use that
local agent in the test, or add a new fixture that returns an agent
preconfigured with concurrency_limit=1000 to preserve test isolation.
- Around line 234-243: The test currently mutates task fields directly and
doesn't exercise retry logic; update the test to create a Task with a failing
execution path (e.g., mock the executor or inject an exception into the method
that runs tasks), submit that Task through the actual runner/processor used by
programming_agent (call the method that triggers execution and retries rather
than setting task.status manually), then assert that programming_agent (or the
Task runner) invoked retries up to task.max_retries by checking task.retry_count
and final task.status, and that programming_agent.metrics.tasks_failed
increments accordingly; alternatively, if you intend this to remain a data-model
unit test, rename/relocate the test to reflect it only verifies direct field
updates (e.g., test_task_model_retry_fields).
In `@tests/test_multiagent_simple.py`:
- Around line 140-151: The assertion in test_task_with_deadline (the test
function creating a Task with a 2-hour deadline) has a theoretical race versus
datetime.now(); to make this deterministic either freeze time (e.g., use
freezegun's `@freeze_time` on test_task_with_deadline so datetime.now() is stable)
or compute and reuse a single reference timestamp (now =
datetime.now(timezone.utc); deadline = now + timedelta(hours=2); assert deadline
> now) so you compare against the same instant; update the test function
(test_task_with_deadline) accordingly.
In `@tests/test_orchestrator.py`:
- Around line 5-10: Remove the ad-hoc sys.path.insert(...) pattern from tests
(currently present as sys.path.insert(0, os.path.join(os.path.dirname(__file__),
'..')) in tests/test_orchestrator.py and duplicated in
tests/test_multiagent_simple.py, tests/test_integration.py, and
tests/conftest.py) and instead configure pytest to set the test Python path
globally: update pyproject.toml with the pytest.ini_options pythonpath = ["."],
testpaths = ["tests"] or ensure the package is installed in editable mode (pip
install -e .) in the test environment; after that, delete all occurrences of
sys.path.insert(...) from the test files so imports use the configured package
path.
- Around line 79-107: The test_load_balancing should explicitly assert that each
call to BaseAgent.add_task succeeded to surface silent failures; update the loop
that distributes tasks to call result = agent.add_task(task) and assert result
(or assert result is True) for each addition, and you can still keep the final
assertions that len(agent.task_queue) == 2 to verify distribution; reference
BaseAgent.add_task, agent.task_queue, and test_load_balancing when making this
change.
♻️ Duplicate comments (3)
tests/test_orchestrator.py (1)
1-3: Filename/content mismatch with orchestrator coverage.The module advertises orchestrator tests but does not exercise
AgentOrchestrator.tests/test_multiagent_simple.py (1)
5-11: Samesys.pathmanipulation pattern.Same recommendation applies here: consider
pytest.iniorpyproject.tomlpythonpath configuration.agents/base.py (1)
15-18: Solid approach to centralized timezone-aware timestamps.The
utc_now()helper is a clean solution for replacing deprecateddatetime.utcnow(). This ensures all timestamps are timezone-aware and consistent across the module.
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📒 Files selected for processing (17)
agents/__init__.pyagents/api_server.pyagents/application_builder.pyagents/autonomous_crew.pyagents/base.pyagents/crew.pyagents/hierarchy.pyagents/master_agent.pyagents/orchestrator.pyagents/problem_solver.pyagents/problem_solving.pyagents/voting.pyrequirements.txttests/conftest.pytests/test_integration.pytests/test_multiagent_simple.pytests/test_orchestrator.py
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agents/**
⚙️ CodeRabbit configuration file
agents/**: These files define AI/LLM agents, tools, and orchestration logic.
- Ensure configuration is strongly typed and well-documented.
- Validate that tools and endpoints are clearly named and safe.
- Watch for prompt injection risks and unsafe string interpolation.
- Prefer small, composable agents over giant multi-purpose ones.
- Suggest clearer separation between config, runtime logic, and prompts.
Files:
agents/api_server.pyagents/orchestrator.pyagents/voting.pyagents/hierarchy.pyagents/autonomous_crew.pyagents/crew.pyagents/__init__.pyagents/problem_solving.pyagents/problem_solver.pyagents/base.pyagents/master_agent.pyagents/application_builder.py
tests/**
⚙️ CodeRabbit configuration file
tests/**: These are test files. Focus on:
- Coverage of critical paths and edge cases.
- Readable, descriptive test names.
- Avoiding brittle tests tied to implementation details.
- Clear given/when/then or arrange/act/assert structure.
- Avoid duplicated setup; encourage fixtures/helpers.
Files:
tests/conftest.pytests/test_orchestrator.pytests/test_multiagent_simple.pytests/test_integration.py
🧬 Code graph analysis (5)
tests/conftest.py (1)
agents/base.py (5)
AgentType(32-44)AgentStatus(20-29)AgentConfig(145-160)Task(103-125)TaskPriority(57-63)
tests/test_orchestrator.py (1)
agents/base.py (9)
AgentType(32-44)AgentStatus(20-29)Task(103-125)TaskPriority(57-63)TaskStatus(66-76)is_available(232-237)can_handle_task(239-243)add_task(245-252)update_status(274-280)
agents/hierarchy.py (1)
agents/base.py (1)
TaskStatus(66-76)
agents/autonomous_crew.py (2)
agents/application_builder.py (1)
Vote(56-63)agents/voting.py (1)
Vote(33-40)
agents/__init__.py (1)
agents/base.py (11)
BaseAgent(163-342)AgentType(32-44)AgentStatus(20-29)AgentCapability(79-86)AgentConfig(145-160)AgentMessage(89-100)AgentMetrics(128-142)Task(103-125)TaskPriority(57-63)TaskStatus(66-76)CommunicationProtocol(47-54)
🪛 Ruff (0.14.11)
agents/hierarchy.py
443-443: Standard pseudo-random generators are not suitable for cryptographic purposes
(S311)
agents/autonomous_crew.py
71-71: Missing return type annotation for special method __init__
Add return type annotation: None
(ANN204)
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🔇 Additional comments (80)
requirements.txt (1)
2-5: No breaking changes detected in AI library usage.Verification found zero deprecated OpenAI patterns, zero deprecated Anthropic patterns, and zero Pydantic v1 syntax. The codebase doesn't directly use OpenAI or Anthropic client APIs (despite them being in requirements.txt—likely pulled in as transitive dependencies or for future use). All Pydantic usage across
tools/base.py,agents/, andcrewai_config/schemas/properly implements v2 patterns:ConfigDictfor configuration,Fieldfor validation, and no legacy@validatororclass Configpatterns.Your dependency versions are safe.
agents/voting.py (5)
16-16: LGTM: Correct timezone import added.The
timezoneimport fromdatetimeis properly added to support timezone-aware timestamps throughout the module.
33-41: LGTM: Timezone-aware timestamp for Vote model.Using
datetime.now(timezone.utc)as the default factory is the correct approach. This avoids the deprecateddatetime.utcnow()and produces timezone-aware datetime objects that are unambiguous when serialized or compared.
43-49: LGTM: Consistent timezone handling in RankedVote.Timestamp default matches the pattern used in the
Votemodel.
52-58: LGTM: Consistent timezone handling in ApprovalVote.Timestamp default correctly uses timezone-aware UTC.
61-73: LGTM: VoteResult timestamp updated correctly.The session result timestamp is now timezone-aware, which is essential for audit trails and correlating vote sessions across distributed agents.
agents/api_server.py (6)
11-11: LGTM: Timezone import added.Correct import for timezone-aware datetime operations.
128-128: LGTM: Health check timestamp is now timezone-aware.Good. This ensures consistent timestamp formatting in health responses.
152-152: LGTM: Build ID generation uses timezone-aware timestamp.The build ID now uses
datetime.now(timezone.utc).timestamp()which is correct.
162-162: LGTM: Build started_at timestamp is timezone-aware.Correct migration to timezone-aware datetime.
308-308: LGTM: WebSocket connection timestamp is timezone-aware.Consistent with other timestamp changes.
375-375: LGTM: Build completion timestamp is timezone-aware.Correct migration.
agents/hierarchy.py (5)
15-15: LGTM: Timezone import added.Correct import for timezone-aware datetime operations throughout the hierarchy module.
329-334: LGTM: Coordination results use timezone-aware timestamps.The
started_attimestamp for parallel coordination is now properly timezone-aware.
363-364: LGTM: Coordination completion timestamp is timezone-aware.Duration calculation correctly uses the difference between two timezone-aware datetimes.
438-446: LGTM: Coordinated task timing uses timezone-aware timestamps.Both
started_atandcompleted_atfields are set usingdatetime.now(timezone.utc), ensuring consistent timing across distributed task execution.
508-525: LGTM: Worker task timing uses timezone-aware timestamps.The worker agent's
execute_taskmethod correctly sets timezone-awarestarted_atandcompleted_aton tasks.agents/autonomous_crew.py (7)
15-15: LGTM: Timezone import added.Correct import including
timedeltawhich is used formax_runtimecomparisons.
59-66: LGTM: Vote timestamp is timezone-aware.The simple
Voteclass in this module correctly usesdatetime.now(timezone.utc)for its timestamp.Note: This
Voteclass differs from the Pydantic model inagents/voting.py. If these represent the same concept, consider consolidating to avoid drift.
189-189: LGTM: Execution start timestamp is timezone-aware.Correct. This ensures
max_runtimecomparisons work properly.
204-204: LGTM: Runtime check now uses timezone-aware comparison.The
max_runtimecheck correctly compares two timezone-aware datetimes. This was a critical fix - comparing naive and aware datetimes would raise aTypeError.
236-236: LGTM: Execution completion timestamp is timezone-aware.Correct migration.
556-556: LGTM: Performance history timestamp is timezone-aware.Correct migration for learning/adaptation tracking.
588-598: LGTM: Stuck task detection uses timezone-aware comparison.The 300-second timeout check at line 593 now correctly compares timezone-aware datetimes. Previously, this would have failed with a
TypeErrorwhen comparing naive and aware datetimes.agents/problem_solving.py (4)
18-18: LGTM: Timezone import added.Correct import for timezone-aware datetime operations.
46-58: LGTM: Solution dataclass uses timezone-aware timestamp.The
created_atfield correctly uses a lambda to wrapdatetime.now(timezone.utc)as the default factory. This is the proper pattern for dataclasses with mutable/dynamic defaults.
626-626: LGTM: Problem-solving timing uses timezone-aware start time.Correct migration for performance measurement.
643-644: LGTM: Duration calculation uses timezone-aware timestamps.The duration calculation correctly uses the difference between two timezone-aware datetimes for accurate performance tracking.
agents/problem_solver.py (2)
20-20: UTC-aware model timestamps look consistent.Problem and Solution
created_atdefaults now align with timezone-aware UTC usage across the codebase.Also applies to: 90-90, 130-130
217-217: Execution timing remains timezone-safe.Using UTC-aware
start_timeandexecution_timeavoids naive/aware mixing and keeps duration math clean.Also applies to: 252-252
agents/application_builder.py (2)
11-11: UTC-aware defaults for votes and ideas are consistent.Good move to keep
timestampandsubmitted_attimezone-aware and uniform.Also applies to: 63-63, 74-74
158-158: Lifecycle timestamps updated to UTC-aware values.
build_id, decision times, and completion time now use UTC-aware sources consistently.Also applies to: 272-272, 327-327, 406-406
agents/master_agent.py (2)
68-68: Project timestamps now UTC-aware.Creation, updates, and error logs are now consistently UTC-aware.
Also applies to: 78-79, 85-85, 101-101
155-155: Master agent uptime now uses UTC-aware baseline.The uptime calculation is now safe from naive/aware datetime mixing.
Also applies to: 510-510
agents/orchestrator.py (2)
11-11: Task timestamps now UTC-aware.Start/complete times are now consistent with timezone-aware UTC semantics.
Also applies to: 260-260, 271-271, 288-288
378-378: Orchestrator start time is UTC-aware.Keeps orchestrator status timestamps consistent with the rest of the system.
tests/test_orchestrator.py (8)
24-37: Agent pool sanity checks are solid.Basic availability assertions are clear and useful.
38-77: Task routing test is clear and direct.Nice, focused coverage for agent/task type matching.
108-143: Failover scenario is reasonable.The test validates re-queuing behavior cleanly.
149-177: Dependency wiring test is straightforward.Covers basic dependency graph shape without over-coupling to implementation.
178-212: Dependency resolution check is clean.The pre/post completion checks are minimal and effective.
217-232: Team assignment test is clear.Simple and effective validation for team_id propagation.
233-245: Crew assignment test is clear.Covers crew_id propagation without extra noise.
247-248: Direct CLI invocation is harmless here.No concerns with keeping a local
__main__entry for ad‑hoc runs.agents/crew.py (10)
18-18: Timezone import is correct.Good move adding
timezoneto the import. This is the proper way to handle timezone-aware datetime in Python 3.
98-98: Timezone-aware default is correct.The
default_factorylambda properly creates timezone-aware timestamps.
112-112: Consistent timestamp handling.Member join timestamps are now timezone-aware, consistent with the rest of the module.
145-145: Task timestamps properly migrated.CrewTask creation timestamps are now timezone-aware.
220-224: AgentCrew instance timestamps correctly initialized.The
created_at,started_at, andcompleted_atinstance variables are properly set up for timezone-aware handling.
400-401: Workflow start timestamp is timezone-aware.Properly capturing the workflow start time with UTC timezone.
420-421: Workflow completion timestamp correctly set.Completion time is captured with proper timezone awareness.
570-572: Task execution start timestamp correct.Task
started_atis properly set with timezone-aware timestamp when transitioning to IN_PROGRESS.
593-594: Task completion timestamp properly set.Task
completed_atis recorded with timezone awareness upon completion.
668-676: Event logging timestamps are timezone-aware and ISO formatted.The
_log_eventmethod now produces ISO-formatted UTC timestamps, which is excellent for log aggregation and debugging in distributed systems.tests/test_integration.py (2)
274-285: Good metrics accumulation test with clear assertions.This test properly exercises
record_task_completion()and verifies the derivedsuccess_ratecalculation. Clear arrange/act/assert structure.
305-306: Standard pytest entry point.Allows direct execution of the test file. No issues.
tests/test_multiagent_simple.py (9)
28-94: Solid agent creation tests with good coverage.The tests cover basic creation, all agent types, custom configuration, and string representations. The UUID length check (
len(agent.id) == 36) correctly validates the standard UUID format with hyphens.
194-221: Excellent priority ordering test.This test properly validates that
get_next_task()returns tasks in priority order (CRITICAL → HIGH → LOW). The test adds tasks out of order and verifies correct retrieval sequence. Good coverage of the priority queue behavior.
249-281: Status management tests properly verify state transitions.Good coverage of
update_status()andis_available()with correct assertions on side effects likelast_activeandstarted_at.
284-332: Good metrics and health check coverage.Tests cover both success/failure tracking and health check responses for healthy and unhealthy agents. The assertions on derived values (
success_rate == 0.5) properly verify the calculation logic.
335-361: Message model tests validate construction and defaults.Good coverage of explicit receiver and broadcast (no receiver) scenarios.
364-378: Basic capability model test.Validates
AgentCapabilityconstruction. Consider adding tests for capability integration withBaseAgent(e.g., agents with specific capabilities handling specific tasks).
381-399: OpenAI function calling compatibility test is thorough.Validates the expected structure for OpenAI function definitions including
parameters.type,parameters.properties, andrequiredfields. This ensures agents can be used with OpenAI's function calling API.
402-431: Enum value contract tests are valuable.These tests act as a contract—if anyone adds, removes, or renames enum values, these tests will fail, forcing explicit acknowledgment. Good practice for public API stability in a 1.0.0 release.
434-435: Standard pytest entry point.No issues.
agents/__init__.py (3)
8-8: Version 1.0.0 signals production readiness.Major version bump is appropriate given the expanded public API and removal of
AgentSpecialization. Ensure downstream consumers are aware of the breaking changes.
10-22: Public API imports are correct and well-organized.All imported entities exist in
agents/base.pyand the grouping is logical. The expanded surface area enables proper use of the multi-agent system without reaching into internals.
24-36:__all__is consistent with imports.The explicit
__all__list matches the imports exactly, providing proper control over the public API surface. Good practice for library packages.tests/conftest.py (8)
5-19: Imports are sufficient for current fixtures.Same
sys.pathpattern applies (see earlier recommendation). Imports match what's needed for the fixtures.
22-29: Simple, well-scoped agent fixture.Default function scope ensures test isolation. Clear, descriptive name.
32-49: Consistent agent fixture pattern.DevOps and testing agent fixtures follow the same pattern as programming_agent. Good consistency.
52-62: Efficient pool fixture using enum iteration.Creates one agent per
AgentType, ensuring coverage across all specializations. IfAgentTypeenum changes, the pool automatically updates.
65-84: Task fixtures cover high and critical priorities.Useful for testing priority-based queue behavior. Both target
PROGRAMMINGagent type for compatibility with programming_agent fixture.
87-105: Comprehensive priority task list fixture.Covers all
TaskPriorityvalues. Useful for testing queue ordering and batch operations.
108-121: Custom config fixture with realistic non-default values.Good for testing that custom configurations propagate correctly to agents. Values are reasonable (Anthropic provider, Claude model, adjusted limits).
124-132: Good use of fixture composition.The
configured_agentfixture depends oncustom_config, demonstrating proper pytest fixture dependency injection. This pattern keeps fixtures modular and reusable.agents/base.py (4)
98-98: Correct use ofutc_nowfactory for timestamp defaults.Both
AgentMessage.timestampandTask.created_atproperly use the centralized helper, ensuring consistent timezone-aware timestamps at instantiation.Also applies to: 114-114
222-230: Good defensive handling foruse_enum_values=Trueduality.The
hasattr(x, 'value')guards in__str__and__repr__correctly handle both enum instances and string values. This is necessary becauseuse_enum_values=Trueconverts enums to their string values during validation.
274-280: Timezone-aware timestamps applied correctly in status updates.Both
last_activeandstarted_atuseutc_now(), maintaining consistency with the timezone-aware approach throughout the module.
254-272: No issue found—priority sorting works correctly with TaskPriority enum.The
priority_orderdict lookup works as intended becauseTaskPriority(str, Enum)makes enum members string-equivalent. BothTaskPriority.CRITICALand the string"critical"resolve to the same dict key, so the fallback value of999will not trigger. The task queue remains in-memory; no serialization/deserialization occurs in this codebase, so there is no risk of silent priority demotion.
✏️ Tip: You can disable this entire section by setting review_details to false in your review settings.
| class Decision: | ||
| """Represents a collective decision""" | ||
| def __init__(self, decision_type: DecisionType, context: Dict[str, Any]): | ||
| self.id = f"decision_{datetime.utcnow().timestamp()}" | ||
| self.id = f"decision_{datetime.now(timezone.utc).timestamp()}" | ||
| self.decision_type = decision_type | ||
| self.context = context | ||
| self.votes: List[Vote] = [] | ||
| self.result: Optional[Any] = None | ||
| self.consensus_reached = False | ||
| self.created_at = datetime.utcnow() | ||
| self.created_at = datetime.now(timezone.utc) |
There was a problem hiding this comment.
🧹 Nitpick | 🔵 Trivial
Decision ID may collide under high concurrency.
Using datetime.now(timezone.utc).timestamp() for the decision ID can produce duplicates if multiple decisions are created within the same timestamp resolution (typically microseconds). For a homelab/agentic system with potential bursts, consider adding a random suffix or using UUID.
♻️ More robust ID generation
+import uuid
+
class Decision:
"""Represents a collective decision"""
def __init__(self, decision_type: DecisionType, context: Dict[str, Any]):
- self.id = f"decision_{datetime.now(timezone.utc).timestamp()}"
+ self.id = f"decision_{uuid.uuid4().hex[:12]}"
self.decision_type = decision_type📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| class Decision: | |
| """Represents a collective decision""" | |
| def __init__(self, decision_type: DecisionType, context: Dict[str, Any]): | |
| self.id = f"decision_{datetime.utcnow().timestamp()}" | |
| self.id = f"decision_{datetime.now(timezone.utc).timestamp()}" | |
| self.decision_type = decision_type | |
| self.context = context | |
| self.votes: List[Vote] = [] | |
| self.result: Optional[Any] = None | |
| self.consensus_reached = False | |
| self.created_at = datetime.utcnow() | |
| self.created_at = datetime.now(timezone.utc) | |
| import uuid | |
| class Decision: | |
| """Represents a collective decision""" | |
| def __init__(self, decision_type: DecisionType, context: Dict[str, Any]): | |
| self.id = f"decision_{uuid.uuid4().hex[:12]}" | |
| self.decision_type = decision_type | |
| self.context = context | |
| self.votes: List[Vote] = [] | |
| self.result: Optional[Any] = None | |
| self.consensus_reached = False | |
| self.created_at = datetime.now(timezone.utc) |
🧰 Tools
🪛 Ruff (0.14.11)
71-71: Missing return type annotation for special method __init__
Add return type annotation: None
(ANN204)
🤖 Prompt for AI Agents
In `@agents/autonomous_crew.py` around lines 69 - 78, The Decision.id generation
in the Decision.__init__ uses datetime.now(timezone.utc).timestamp() which can
collide under concurrent creations; update Decision.__init__ to generate a
robust unique id (e.g., use uuid.uuid4() or append a secure random suffix)
instead of relying solely on timestamp, updating the id assignment for the
Decision class and ensuring any consumers of Decision.id still work with the new
string format.
| openai>=1.50.0 | ||
| anthropic>=0.40.0 | ||
| pydantic>=2.10.0 | ||
| pydantic-ai>=1.0.0 | ||
|
|
||
| # HTTP and API | ||
| requests>=2.31.0 | ||
| httpx>=0.25.0 | ||
| fastapi>=0.104.0 | ||
| uvicorn>=0.24.0 | ||
| websockets>=12.0 | ||
|
|
||
| # Database | ||
| sqlalchemy>=2.0.0 | ||
| psycopg2-binary>=2.9.0 | ||
| asyncpg>=0.29.0 | ||
| requests>=2.32.0 | ||
| httpx>=0.28.0 | ||
| fastapi>=0.115.0 | ||
| uvicorn[standard]>=0.32.0 | ||
| websockets>=14.0 | ||
|
|
||
| # Data Processing | ||
| pandas>=2.1.0 | ||
| numpy>=1.24.0 | ||
| pydantic-settings>=2.1.0 | ||
| jsonschema>=4.20.0 | ||
| pydantic-settings>=2.6.0 | ||
| jsonschema>=4.23.0 | ||
|
|
||
| # Monitoring and Logging | ||
| prometheus-client>=0.19.0 | ||
| python-json-logger>=2.0.0 | ||
| structlog>=23.2.0 | ||
| psutil>=5.9.0 | ||
|
|
||
| # Cloud and Infrastructure | ||
| boto3>=1.29.0 # AWS SDK (for MinIO S3 compatibility) | ||
| minio>=7.2.0 | ||
| python-json-logger>=3.2.0 | ||
| structlog>=24.4.0 | ||
| psutil>=6.1.0 | ||
|
|
||
| # CLI and Terminal | ||
| typer>=0.9.0 | ||
| rich>=13.7.0 | ||
| typer>=0.15.0 | ||
| rich>=14.0.0 | ||
| click>=8.1.0 | ||
|
|
||
| # Configuration | ||
| python-dotenv>=1.0.0 | ||
| pyyaml>=6.0 | ||
|
|
||
| # Testing | ||
| pytest>=7.4.0 | ||
| pytest-asyncio>=0.21.0 | ||
| pytest-cov>=4.1.0 | ||
|
|
||
| # Security | ||
| cryptography>=41.0.0 | ||
| python-jose>=3.3.0 | ||
| pytest>=8.3.0 | ||
| pytest-asyncio>=0.24.0 | ||
| pytest-cov>=6.0.0 | ||
|
|
||
| # Development Tools | ||
| black>=23.11.0 | ||
| ruff>=0.1.0 | ||
| mypy>=1.7.0 | ||
| ruff>=0.8.0 | ||
| mypy>=1.13.0 |
There was a problem hiding this comment.
🧹 Nitpick | 🔵 Trivial
Consider tighter version constraints for production reliability.
Using >= for all dependencies in a 1.0.0 release is dangerous for an infrastructure-heavy environment. Future minor or major version bumps could introduce breaking changes, especially with:
- openai >=1.50.0: Major API changes happen frequently
- pydantic >=2.10.0: Already on v2, but v2.x releases can break validation behavior
- fastapi >=0.115.0: Pre-1.0 library, semver doesn't apply—any 0.x release can break
- anthropic >=0.40.0: Pre-1.0, breaking changes expected
For production deployments, use ~= (compatible release) or exact pins:
openai~=1.50.0allows 1.50.x but blocks 1.51+pydantic~=2.10.0allows 2.10.x but blocks 2.11+
Or use exact pins with Dependabot/Renovate for controlled updates.
🔒 Proposed: Switch to compatible release constraints
# Core AI and ML Libraries
-openai>=1.50.0
-anthropic>=0.40.0
-pydantic>=2.10.0
-pydantic-ai>=1.0.0
+openai~=1.50.0
+anthropic~=0.40.0
+pydantic~=2.10.0
+pydantic-ai~=1.0.0
# HTTP and API
-requests>=2.32.0
-httpx>=0.28.0
-fastapi>=0.115.0
-uvicorn[standard]>=0.32.0
-websockets>=14.0
+requests~=2.32.0
+httpx~=0.28.0
+fastapi~=0.115.0
+uvicorn[standard]~=0.32.0
+websockets~=14.0
# Data Processing
-pydantic-settings>=2.6.0
-jsonschema>=4.23.0
+pydantic-settings~=2.6.0
+jsonschema~=4.23.0
# Monitoring and Logging
-python-json-logger>=3.2.0
-structlog>=24.4.0
-psutil>=6.1.0
+python-json-logger~=3.2.0
+structlog~=24.4.0
+psutil~=6.1.0
# CLI and Terminal
-typer>=0.15.0
-rich>=14.0.0
+typer~=0.15.0
+rich~=14.0.0
click>=8.1.0
# Testing
-pytest>=8.3.0
-pytest-asyncio>=0.24.0
-pytest-cov>=6.0.0
+pytest~=8.3.0
+pytest-asyncio~=0.24.0
+pytest-cov~=6.0.0
# Development Tools
-ruff>=0.8.0
-mypy>=1.13.0
+ruff~=0.8.0
+mypy~=1.13.0🤖 Prompt for AI Agents
In `@requirements.txt` around lines 2 - 39, The requirements file currently uses
broad >= pins which can introduce breaking changes; update the dependency
specifications in requirements.txt for key packages (openai, pydantic,
anthropic, fastapi, and other infra-critical packages listed) to use
compatible-release operators (~=) or exact version pins instead of >= (e.g.,
change openai>=1.50.0 to openai~=1.50.0 or openai==1.50.0) and do the same for
pydantic, anthropic, fastapi, httpx, uvicorn, and any other runtime-critical
libs, then add automated tooling (Dependabot or Renovate) to manage and propose
controlled updates.
🧩 Analysis chain
🏁 Script executed:
#!/bin/bash
# Verify PyPI package versions exist
packages=(
"openai:1.50.0"
"anthropic:0.40.0"
"pydantic:2.10.0"
"pydantic-ai:1.0.0"
"requests:2.32.0"
"httpx:0.28.0"
"fastapi:0.115.0"
"uvicorn:0.32.0"
"websockets:14.0.0"
"pydantic-settings:2.6.0"
"jsonschema:4.23.0"
"python-json-logger:3.2.0"
"structlog:24.4.0"
"psutil:6.1.0"
"typer:0.15.0"
"rich:14.0.0"
"click:8.1.0"
"python-dotenv:1.0.0"
"pyyaml:6.0"
"pytest:8.3.0"
"pytest-asyncio:0.24.0"
"pytest-cov:6.0.0"
"ruff:0.8.0"
"mypy:1.13.0"
)
echo "=== Verifying PyPI package versions ==="
missing=0
found=0
for pkg_spec in "${packages[@]}"; do
IFS=':' read -r pkg version <<< "$pkg_spec"
# Query PyPI JSON API for this specific version
response=$(curl -s "https://pypi.org/pypi/$pkg/$version/json" 2>/dev/null)
if echo "$response" | jq -e '.info.version' > /dev/null 2>&1; then
actual_version=$(echo "$response" | jq -r '.info.version')
echo "✓ $pkg==$version exists (actual: $actual_version)"
((found++))
else
echo "✗ $pkg==$version NOT FOUND"
((missing++))
fi
done
echo ""
echo "Summary: $found found, $missing missing"
# Check latest versions to assess constraint strategy
echo ""
echo "=== Latest available versions (for >=/constraint assessment) ==="
critical_packages=("openai" "anthropic" "pydantic" "fastapi" "httpx")
for pkg in "${critical_packages[@]}"; do
latest=$(curl -s "https://pypi.org/pypi/$pkg/json" 2>/dev/null | jq -r '.info.version')
echo "$pkg: latest=$latest"
doneRepository: cbwinslow/bash.d
Length of output: 1329
Use pinned or tilde constraints (~=) instead of loose >= for production stability.
All specified versions exist on PyPI, but the constraint strategy exposes this 1.0.0 release to unintended major version upgrades. For example, openai>=1.50.0 will accept openai 2.15.0—a major version jump with breaking changes. Similarly, anthropic will permit 0.76.0 over 0.40.0.
For infrastructure-heavy environments, replace >= with either exact pins (e.g., openai==1.50.0) for critical packages or tilde constraints (e.g., openai~=1.50.0) to permit patch/minor updates while preventing major version surprises. This is non-negotiable at 1.0.0.
🤖 Prompt for AI Agents
In `@requirements.txt` around lines 2 - 39, Replace loose >= version specifiers in
requirements.txt with pinned or tilde constraints for production stability: for
critical packages like openai, anthropic, pydantic, pydantic-ai, fastapi and
uvicorn use exact pins (==) or tilde pins (~=) instead of >= (e.g., change
openai>=1.50.0 and anthropic>=0.40.0 to openai~=1.50.0 or openai==1.50.0,
anthropic~=0.40.0 or anthropic==0.40.0), and apply the same pattern to other
dependencies listed (requests, httpx, pydantic-settings, pytest, mypy, ruff,
etc.) to prevent accidental major-version upgrades while allowing safe
patch/minor updates where appropriate.
| """ | ||
| Pytest configuration and fixtures for bash.d tests | ||
| """ |
There was a problem hiding this comment.
Docstring contains "bash.d" which appears to be a copy-paste error.
Should likely read "Pytest configuration and fixtures for multi-agent system tests" or similar.
📝 Suggested fix
"""
-Pytest configuration and fixtures for bash.d tests
+Pytest configuration and fixtures for multi-agent system tests
"""📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| """ | |
| Pytest configuration and fixtures for bash.d tests | |
| """ | |
| """ | |
| Pytest configuration and fixtures for multi-agent system tests | |
| """ |
🤖 Prompt for AI Agents
In `@tests/conftest.py` around lines 1 - 3, Update the module docstring at the top
of the conftest.py file to replace the incorrect "bash.d" phrase with a correct
description like "multi-agent system tests" (or another accurate
project-specific term); edit the top-level docstring string literal so it reads
e.g. "Pytest configuration and fixtures for multi-agent system tests" to
accurately describe the file.
| import sys | ||
| import os | ||
| import pytest | ||
|
|
||
| sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..')) | ||
|
|
There was a problem hiding this comment.
🧹 Nitpick | 🔵 Trivial
Consider using pytest's pythonpath config instead of sys.path manipulation.
The sys.path.insert approach works but is fragile. In pyproject.toml or pytest.ini, you can configure:
[tool.pytest.ini_options]
pythonpath = ["."]This is cleaner and doesn't pollute the module namespace.
🤖 Prompt for AI Agents
In `@tests/test_integration.py` around lines 5 - 10, Replace the fragile runtime
modification of sys.path (the call to sys.path.insert(0,
os.path.join(os.path.dirname(__file__), '..')) found in
tests/test_integration.py) with a static pytest configuration; add pythonpath =
["."] under [tool.pytest.ini_options] in pyproject.toml or set pythonpath in
pytest.ini, then remove the sys.path.insert line so imports are handled by
pytest's configuration rather than manipulating sys.path at runtime.
| class TestAgentCommunication: | ||
| """Tests for inter-agent communication""" | ||
|
|
||
| def test_message_exchange(self, programming_agent, devops_agent): | ||
| """Test message exchange between agents""" | ||
| message = AgentMessage( | ||
| sender_id=programming_agent.id, | ||
| receiver_id=devops_agent.id, | ||
| content={ | ||
| "type": "request", | ||
| "action": "deploy", | ||
| "artifact": "app-v1.0.0" | ||
| }, | ||
| priority=TaskPriority.HIGH | ||
| ) | ||
|
|
||
| assert message.sender_id == programming_agent.id | ||
| assert message.receiver_id == devops_agent.id | ||
| assert message.content["action"] == "deploy" | ||
|
|
||
| def test_broadcast_message(self, agent_pool): | ||
| """Test broadcasting messages to all agents""" | ||
| sender = agent_pool[0] | ||
|
|
||
| message = AgentMessage( | ||
| sender_id=sender.id, | ||
| receiver_id=None, # Broadcast | ||
| content={ | ||
| "type": "announcement", | ||
| "message": "System maintenance in 5 minutes" | ||
| }, | ||
| priority=TaskPriority.HIGH | ||
| ) | ||
|
|
||
| # All agents except sender should receive | ||
| recipients = [a for a in agent_pool if a.id != sender.id] | ||
| assert len(recipients) == len(agent_pool) - 1 | ||
| assert message.receiver_id is None |
There was a problem hiding this comment.
🧹 Nitpick | 🔵 Trivial
These tests validate message construction, not actual inter-agent communication.
The TestAgentCommunication class tests that AgentMessage objects can be constructed with the right fields. That's useful as a unit test for the data model, but doesn't test that agents can actually exchange messages at runtime.
If you want true integration tests for communication, you'd need to:
- Have agents actually send/receive messages through a protocol handler
- Verify message delivery, ordering, and acknowledgment
For now, consider renaming this class to TestAgentMessageModel to accurately reflect what it tests.
🤖 Prompt for AI Agents
In `@tests/test_integration.py` around lines 23 - 60, Rename the test class
TestAgentCommunication to TestAgentMessageModel (and update its docstring)
because the tests only validate AgentMessage construction rather than runtime
messaging; locate the class definition named TestAgentCommunication and change
the class name and its triple-quoted description to reflect it is testing the
AgentMessage model, keeping the existing test methods (test_message_exchange,
test_broadcast_message) and assertions unchanged.
| # Override concurrency limit for test | ||
| programming_agent.config.concurrency_limit = 1000 |
There was a problem hiding this comment.
🧹 Nitpick | 🔵 Trivial
Direct config mutation may cause test isolation issues.
Directly modifying programming_agent.config.concurrency_limit = 1000 mutates the fixture instance. If the programming_agent fixture has function scope (default), this is fine. But if it's ever changed to session or module scope, this mutation will leak to other tests.
Consider creating a dedicated fixture with the high concurrency limit, or use a fresh agent instance within this test:
def test_many_tasks(self):
agent = BaseAgent(
name="High Capacity Agent",
type=AgentType.PROGRAMMING,
description="Agent with high concurrency",
config=AgentConfig(concurrency_limit=1000)
)
# ... rest of test🤖 Prompt for AI Agents
In `@tests/test_integration.py` around lines 183 - 184, The test mutates the
shared programming_agent fixture by setting
programming_agent.config.concurrency_limit = 1000 which can leak state; instead
create a fresh agent instance or dedicated fixture with the desired concurrency.
Replace the mutation with constructing a new BaseAgent (e.g.,
BaseAgent(name="High Capacity Agent", type=AgentType.PROGRAMMING,
description="...", config=AgentConfig(concurrency_limit=1000))) and use that
local agent in the test, or add a new fixture that returns an agent
preconfigured with concurrency_limit=1000 to preserve test isolation.
| # Simulate failure | ||
| task.status = TaskStatus.FAILED | ||
| task.error = "Simulated failure" | ||
| task.retry_count += 1 | ||
|
|
||
| programming_agent.record_task_completion(success=False, response_time=5.0) | ||
|
|
||
| assert task.retry_count == 1 | ||
| assert task.retry_count < task.max_retries | ||
| assert programming_agent.metrics.tasks_failed == 1 |
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🧹 Nitpick | 🔵 Trivial
Test simulates failure but doesn't exercise actual retry logic.
Manually setting task.status = TaskStatus.FAILED and task.retry_count += 1 doesn't test that the system actually retries failed tasks up to max_retries. You're asserting that the fields can be modified, but not that the retry mechanism works.
A more meaningful test would:
- Create a task that will fail (e.g., via a mock or error injection)
- Execute it through the actual execution path
- Assert that retries occur automatically and the final state reflects the retry behavior
This is acceptable as a unit test for the data model, but rename or relocate it if you want true error handling integration tests.
🤖 Prompt for AI Agents
In `@tests/test_integration.py` around lines 234 - 243, The test currently mutates
task fields directly and doesn't exercise retry logic; update the test to create
a Task with a failing execution path (e.g., mock the executor or inject an
exception into the method that runs tasks), submit that Task through the actual
runner/processor used by programming_agent (call the method that triggers
execution and retries rather than setting task.status manually), then assert
that programming_agent (or the Task runner) invoked retries up to
task.max_retries by checking task.retry_count and final task.status, and that
programming_agent.metrics.tasks_failed increments accordingly; alternatively, if
you intend this to remain a data-model unit test, rename/relocate the test to
reflect it only verifies direct field updates (e.g.,
test_task_model_retry_fields).
| def test_task_with_deadline(self): | ||
| """Test task with deadline""" | ||
| deadline = datetime.now(timezone.utc) + timedelta(hours=2) | ||
| task = Task( | ||
| title="Urgent Task", | ||
| description="Task with deadline", | ||
| priority=TaskPriority.CRITICAL, | ||
| deadline=deadline | ||
| ) | ||
|
|
||
| assert task.deadline == deadline | ||
| assert task.deadline > datetime.now(timezone.utc) |
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🧹 Nitpick | 🔵 Trivial
Minor: Deadline assertion has a theoretical race condition.
The test creates a deadline 2 hours in the future, then asserts it's greater than datetime.now(). In practice, this is fine, but it's not strictly deterministic. If you want bulletproof tests, freeze time using freezegun or similar:
from freezegun import freeze_time
`@freeze_time`("2026-01-15 12:00:00")
def test_task_with_deadline(self):
deadline = datetime.now(timezone.utc) + timedelta(hours=2)
# now datetime.now() is frozen, assertion is deterministicLow priority—the 2-hour buffer makes this practically a non-issue.
🤖 Prompt for AI Agents
In `@tests/test_multiagent_simple.py` around lines 140 - 151, The assertion in
test_task_with_deadline (the test function creating a Task with a 2-hour
deadline) has a theoretical race versus datetime.now(); to make this
deterministic either freeze time (e.g., use freezegun's `@freeze_time` on
test_task_with_deadline so datetime.now() is stable) or compute and reuse a
single reference timestamp (now = datetime.now(timezone.utc); deadline = now +
timedelta(hours=2); assert deadline > now) so you compare against the same
instant; update the test function (test_task_with_deadline) accordingly.
| import sys | ||
| import os | ||
| import pytest | ||
|
|
||
| sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..')) | ||
|
|
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Consolidate and eliminate sys.path injection—this pattern is duplicated across 4 test files.
sys.path.insert() is present in tests/test_orchestrator.py, tests/test_multiagent_simple.py, tests/test_integration.py, and tests/conftest.py. This violates DRY and masks a packaging issue.
Add proper pytest configuration to pyproject.toml:
[tool.pytest.ini_options]
pythonpath = ["."]
testpaths = ["tests"]Or install the package in editable mode (pip install -e . in your test environment). Once configured, remove all sys.path.insert() calls entirely—they should never appear in individual test files.
🤖 Prompt for AI Agents
In `@tests/test_orchestrator.py` around lines 5 - 10, Remove the ad-hoc
sys.path.insert(...) pattern from tests (currently present as sys.path.insert(0,
os.path.join(os.path.dirname(__file__), '..')) in tests/test_orchestrator.py and
duplicated in tests/test_multiagent_simple.py, tests/test_integration.py, and
tests/conftest.py) and instead configure pytest to set the test Python path
globally: update pyproject.toml with the pytest.ini_options pythonpath = ["."],
testpaths = ["tests"] or ensure the package is installed in editable mode (pip
install -e .) in the test environment; after that, delete all occurrences of
sys.path.insert(...) from the test files so imports use the configured package
path.
| def test_load_balancing(self): | ||
| """Test distributing tasks among agents""" | ||
| agents = [ | ||
| BaseAgent( | ||
| name=f"Worker {i}", | ||
| type=AgentType.GENERAL, | ||
| description=f"General worker {i}" | ||
| ) | ||
| for i in range(3) | ||
| ] | ||
|
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||
| tasks = [ | ||
| Task( | ||
| title=f"Task {i}", | ||
| description=f"General task {i}", | ||
| priority=TaskPriority.MEDIUM | ||
| ) | ||
| for i in range(6) | ||
| ] | ||
|
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||
| # Distribute tasks round-robin | ||
| for i, task in enumerate(tasks): | ||
| agent = agents[i % len(agents)] | ||
| agent.add_task(task) | ||
|
|
||
| # Each agent should have 2 tasks | ||
| for agent in agents: | ||
| assert len(agent.task_queue) == 2 | ||
|
|
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🧹 Nitpick | 🔵 Trivial
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Assert add_task() success to catch silent failures and ensure test intent is met.
While BaseAgent defaults to a reasonable concurrency_limit of 5 and the test only queues 2 tasks per agent, the test should still explicitly assert that task additions succeed. This defensive pattern surfaces unexpected state changes early and makes the test's assumptions clear.
Recommended assertion
for i, task in enumerate(tasks):
agent = agents[i % len(agents)]
+ assert agent.add_task(task), f"Failed to add task to {agent.name}"🤖 Prompt for AI Agents
In `@tests/test_orchestrator.py` around lines 79 - 107, The test_load_balancing
should explicitly assert that each call to BaseAgent.add_task succeeded to
surface silent failures; update the loop that distributes tasks to call result =
agent.add_task(task) and assert result (or assert result is True) for each
addition, and you can still keep the final assertions that len(agent.task_queue)
== 2 to verify distribution; reference BaseAgent.add_task, agent.task_queue, and
test_load_balancing when making this change.
Automation & Build: - Add Makefile with targets for test, lint, format, clean, docs, health, etc. - Add pyproject.toml with full project configuration (ruff, pytest, mypy) - Add .pre-commit-config.yaml for automated code quality checks CLI & Management: - Add scripts/bashd_cli.py - comprehensive CLI tool using typer/rich - agents: list, info, create agents - config: show, validate configurations - modules: list, enable, disable modules - tools: list, info for tools - Add scripts/project_health.py - project health checker with scoring - Add scripts/generate_docs.py - auto-generate documentation from code Core Libraries: - Add lib/config_manager.py - centralized config management - YAML/JSON loading with env var interpolation - Configuration validation with schema support - Hierarchical config merging - Add lib/module_registry.py - module discovery and management - Auto-discover agents, tools, functions, aliases, plugins - Search and filtering capabilities - Module metadata tracking Bash Helpers: - Add bash_functions.d/core/repo_helpers.sh with utilities: - bashd_status, bashd_reload, bashd_edit - bashd_functions, bashd_agents, bashd_tools - bashd_test, bashd_lint, bashd_health, bashd_docs - bashd_commit, bashd_update, bashd_backup - bashd_help with comprehensive usage info Co-authored-by: openhands <openhands@all-hands.dev>
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🧪 CI InsightsHere's what we observed from your CI run for 14bdbb2. 🟢 All jobs passed!But CI Insights is watching 👀 |
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| if doc_file.name != 'INDEX.md': | ||
| output.append(f"- [{doc_file.stem}]({doc_file.name})\n") | ||
|
|
||
| with open(self.docs_dir / 'INDEX.md', 'w') as f: |
There was a problem hiding this comment.
Suggestion: When generating the main index, the code writes to docs/INDEX.md without ensuring that the docs directory exists, which will raise a FileNotFoundError if the generator is run against a project root that lacks this directory. [logic error]
Severity Level: Critical 🚨
- ❌ Generator crashes when docs directory missing.
- ⚠️ CI docs job fails on fresh repositories.
- ⚠️ Local developer experience broken on first run.| with open(self.docs_dir / 'INDEX.md', 'w') as f: | |
| self.docs_dir.mkdir(parents=True, exist_ok=True) |
Steps of Reproduction ✅
1. Run scripts/generate_docs.py from a project root that does not contain a `docs/`
directory (entry at main() in scripts/generate_docs.py, bottom of file, lines ~347-364).
2. DocGenerator.__init__ sets self.docs_dir = Path(root) / 'docs' (constructor at lines
~24-28). generate_all() calls _generate_index() near the end of its sequence
(generate_all() lines ~29-50).
3. In `_generate_index()` (lines 220-244) the code builds the index output and then
attempts to write `self.docs_dir / 'INDEX.md'` without ensuring `self.docs_dir` exists. If
`docs/` is missing, opening the file for writing raises FileNotFoundError and the script
crashes with a traceback at the `open()` call (exact call at line 244 in PR diff).
4. The suggested fix (calling `self.docs_dir.mkdir(parents=True, exist_ok=True)` before
opening) creates the directory and prevents FileNotFoundError; this makes generator safe
to run on empty repositories.Prompt for AI Agent 🤖
This is a comment left during a code review.
**Path:** scripts/generate_docs.py
**Line:** 243:243
**Comment:**
*Logic Error: When generating the main index, the code writes to `docs/INDEX.md` without ensuring that the `docs` directory exists, which will raise a `FileNotFoundError` if the generator is run against a project root that lacks this directory.
Validate the correctness of the flagged issue. If correct, How can I resolve this? If you propose a fix, implement it and please make it concise.
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Actionable comments posted: 32
🤖 Fix all issues with AI agents
In `@bash_functions.d/core/repo_helpers.sh`:
- Around line 1-4: This file lacks safe-error handling for critical operations
and you should not set global "set -euo pipefail" because the script is sourced;
instead, update each critical function (e.g., bashd_commit, any functions that
call git or perform file I/O, and those that call bashd_root) to perform strict,
local error checks: capture bashd_root with "root=$(bashd_root) || return 1", cd
with "cd \"$root\" || return 1", verify work to do with "if [[ -z \"$(git status
--porcelain 2>/dev/null)\" ]]; then ...; return 0; fi", and check every git/file
command's exit status (git add, git commit, file writes) returning non‑zero and
logging errors on failure; alternatively wrap the critical sequence in a
subshell that enables "set -euo pipefail" for those operations only to avoid
affecting the parent shell.
- Around line 218-231: bashd_commit currently runs git add -A and commits
blindly; change it to (1) validate the first arg against allowed conventional
types (feat, fix, docs, style, refactor, perf, test, chore) and refuse/ask to
confirm on invalid types, (2) detect staged vs unstaged changes using git status
--porcelain and show a summary (git status --short or git diff --name-only) plus
the commit message, (3) prompt the user to confirm before staging/committing
and, if they choose not to stage everything, allow re-running with selective
staging instead of running git add -A automatically, and (4) avoid auto-staging
sensitive files by not calling git add -A unconditionally; only run git add on
user confirmation or nominated paths — update the bashd_commit function to
implement these checks and prompts.
- Around line 163-176: The bashd_test function currently interpolates the
user-provided $target directly into a path used by pytest; validate and sanitize
$target (in function bashd_test) before using it: only allow a safe pattern such
as alphanumeric, underscores, and hyphens (e.g. [[ "$target" =~ ^[A-Za-z0-9_-]+$
]]) and if it fails, print an error and exit; next, verify the constructed file
"$root/tests/test_$target.py" exists before invoking python3 -m pytest, and
ensure all variables are quoted when passed to pytest to avoid word-splitting or
injection.
- Around line 273-280: The tar invocation currently silences all errors via
"2>/dev/null"; remove that redirection and instead capture and check tar's exit
status so real errors (permissions, disk space, missing files) are visible and
handled. Modify the tar command that uses "$backup_file" and "$root" to either
let stderr flow to the caller or redirect stderr to a temporary variable/file,
then after tar completes check its exit code ($?) and, on failure, print/log a
clear message including the backup_file and root values and the captured stderr
so callers can diagnose the failure.
- Around line 245-258: The bashd_update function currently runs git pull origin
main unsafely; change it to (1) cd into bashd_root, (2) run git fetch, (3)
detect uncommitted changes via git status --porcelain and abort (or
prompt/stash) if any, (4) determine the current branch and its upstream (use git
rev-parse --abbrev-ref --symbolic-full-name @{u} or fallback to branch name and
default to "main" only if no upstream), and (5) perform a safe fast-forward
update using git merge --ff-only <upstream-remote>/<upstream-branch> (or git
pull --ff-only <remote> <branch>) instead of hardcoded git pull origin main;
update messages similarly and keep references to bashd_update and bashd_root so
reviewers can find the change.
- Around line 185-186: The ruff invocation currently always runs with --fix,
which mutates files; change the conditional that runs ruff (the block checking
command -v ruff and the ruff check "$root/agents" "$root/tools" "$root/tests"
--fix line) to make --fix optional via a flag or env variable (e.g., a RUFF_FIX
or --fix-ruff CLI option); when the variable/option is set include --fix,
otherwise run ruff check without --fix and document the new option in the script
help/comment.
In `@lib/config_manager.py`:
- Around line 63-80: Extract the duplicated root-detection logic into a shared
utility function named find_bashd_root (create lib/utils.py) that implements the
existing behavior, then replace ConfigManager._find_root and
ModuleRegistry._find_root by importing and calling find_bashd_root; update
ConfigManager.__init__ to set self.root = Path(root_path) if root_path else
find_bashd_root() and remove the duplicate _find_root implementations so both
classes use the single utility function.
- Around line 274-307: Replace the custom _validate_schema implementation with
jsonschema-based validation: import jsonschema and use jsonschema.validate(data,
schema) inside ConfigManager._validate_schema (or call a new method used by it),
catch jsonschema.exceptions.ValidationError and
jsonschema.exceptions.SchemaError, and convert the caught ValidationError into
the list of error strings (use the exception.message and JSON path information
from exception.absolute_path/absolute_schema_path to build messages) so callers
expecting List[str] still receive structured errors; ensure to keep the same
method signature (_validate_schema(self, data: Any, schema: Dict, path: str) ->
List[str]) and return an empty list on success and mapped error messages on
failure.
- Around line 39-41: The ConfigurationError exception class contains an
unnecessary pass statement; remove the redundant "pass" from the
ConfigurationError class definition (keep the docstring) so the class simply
defines the docstring and inherits from Exception without an empty pass block.
- Around line 216-224: The code silently changes format from 'yaml' to 'json'
when HAS_YAML is False; instead, detect when format == 'yaml' and HAS_YAML is
False and either raise a clear exception (e.g., RuntimeError/ImportError) or
emit a warning via the logger before falling back; update the block around
HAS_YAML, format, yaml.dump, self.configs_dir and self._cache so callers are
informed (raise to force install or log.warn + continue) rather than silently
switching formats.
In `@lib/module_registry.py`:
- Around line 385-391: Handle ValueError from Path.relative_to when
module_info.path isn't under self.root: wrap the relative_to(self.root) call in
a try/except (or check via .is_relative_to if Python >=3.9) and if it fails,
compute module_path from the absolute path (e.g., use
module_info.path.with_suffix('') and replace os.sep with '.') and optionally log
or comment that the module came from outside self.root; update references to
rel_path and module_path accordingly so module_path is always set even for
symlinked/outside files.
- Around line 291-303: The _extract_bash_description function uses a bare except
which hides unexpected errors; change it to catch specific exceptions (e.g.,
OSError and UnicodeDecodeError) and handle them (return "" or re-raise if
appropriate) instead of swallowing everything; also prefer using path.open(...)
with an explicit encoding when reading the file to avoid decoding issues and
ensure only the intended I/O/decoding errors are caught and handled.
- Around line 277-289: The _extract_docstring function currently uses a bare
except which swallows all exceptions; replace it with specific exception
handlers (e.g., except (OSError, IOError, UnicodeDecodeError) as e:) so only
file/encoding errors are caught and return "" after handling, and let critical
exceptions like KeyboardInterrupt and SystemExit propagate; also consider
opening the file with an explicit encoding (or using
path.read_text(encoding='utf-8')) to avoid encoding surprises and include the
exception variable if you want to log or debug.
- Around line 412-424: The export method's format parameter is ignored and the
docstring incorrectly claims YAML support; update the export(self, format: str =
'json') method to honor format by adding a branch that returns JSON for format
== 'json' (use json.dumps with indent=2) and YAML for format == 'yaml' (use
yaml.safe_dump on the same data), add an import for PyYAML (import yaml),
validate/normalize the format string and raise a ValueError for unsupported
formats, and update the docstring to reflect supported formats; reference the
export method, the format parameter, the data dict, and the json.dumps call when
making changes.
- Line 21: The import line currently uses deprecated typing generics ("from
typing import Any, Dict, List, Optional, Type, Callable"); remove Dict, List,
Type, Callable from that import and replace their uses in annotations with
modern built-in generics (e.g. Dict[str, Any] → dict[str, Any], List[ModuleInfo]
→ list[ModuleInfo], List[str] → list[str]); if you still need Callable or Type
semantics, import Callable/Type from collections.abc (or keep
typing.Callable/typing.Type if targeting 3.10 compatibility) and keep
Any/Optional from typing; update all occurrences in module_registry.py
accordingly.
- Around line 393-398: Replace the naive timestamp assignment
module_info.loaded_at = datetime.now() with a timezone-aware timestamp using
datetime.now(timezone.utc); ensure the module imports timezone (e.g., from
datetime import datetime, timezone) so the assignment becomes
module_info.loaded_at = datetime.now(timezone.utc), leaving the rest of the
logic (importlib.import_module and self._loaded[key]) unchanged.
In `@Makefile`:
- Around line 4-6: The Makefile's .PHONY list is missing the check target, so
update the .PHONY declaration to include check (the .PHONY line that currently
lists help install install-dev test test-cov lint format clean docs ...). Add
"check" to that comma/space-separated list so the Make target check is always
executed even if a file named check exists in the repo root.
- Around line 94-107: The health target currently silences errors from running
scripts/project_health.py with `2>/dev/null`, which hides why the primary check
failed; update the Makefile health target to not drop stderr and instead log a
brief error message before executing the inline fallback (e.g., run "$(PYTHON)
scripts/project_health.py" and on failure echo "scripts/project_health.py
failed: <error>" or similar), and ensure scripts/project_health.py is declared
as the canonical, version-controlled checker (or added as a Makefile
prerequisite) so the fallback inline Python is only a last-resort and easier to
maintain.
- Around line 225-229: The update-repo Makefile target currently hardcodes "git
pull origin main" which breaks when the repo's default branch differs; change
update-repo to pull the current branch or a configurable variable
instead—replace the literal "git pull origin main" with a command that uses the
current branch (e.g., deriving it with git rev-parse --abbrev-ref HEAD) or use a
Make variable like BRANCH ?= $(shell git rev-parse --abbrev-ref HEAD) and then
run "git pull origin $(BRANCH)"; update references to the update-repo target
accordingly so maintainers can override BRANCH when needed.
- Around line 74-87: The Makefile targets lint and typecheck currently append
"|| true" which masks failures; update the lint and typecheck recipes (targets
"lint" and "typecheck") to remove "|| true" so ruff and mypy return nonzero on
real errors, or if you intend to allow warnings keep "|| true" but replace it
with an explicit warning mode flag (e.g., ruff's --exit-zero) so failures are
intentional and visible in CI; adjust the commands invoking "ruff check" and
"mypy" accordingly to propagate failures or use the proper exit-zero flag.
In `@scripts/bashd_cli.py`:
- Around line 176-218: The verbose flag on agents_list is unused; implement it
to show more details when verbose is True (or remove it if you prefer). Update
agents_list to check the verbose parameter and, when True, add extra info for
each agent entry (e.g., include agent_file.resolve() path and basic metadata
like file size or modification time) instead of just the name; for category
agents use the loop over sorted(cat_path.glob('*_agent.py')) and include verbose
details in the string added to cat_branch, and for root-level agents use the
root_agents loop and include verbose details when adding to root_branch. Ensure
no change to behavior when verbose is False.
- Around line 144-169: The init command lacks a --dry-run option to preview
created directories; add a dry_run: bool = typer.Option(False, "--dry-run",
help="Show actions without creating files") parameter to the init function and
branch before creating directories: if dry_run is True, iterate the dirs list
and console.print the intended mkdir actions (e.g., "Would create {d}/") without
calling (target / d).mkdir, otherwise keep the existing creation logic; ensure
the help text and behavior are consistent with the existing force Option and
that console prints mirror real actions for parity.
- Around line 456-464: The bare "except: pass" around reading/parsing tool files
hides IO/encoding errors; change the try/except in the block that opens
tool_file and sets description to catch specific exceptions (e.g., OSError,
IOError, UnicodeDecodeError, ValueError) as e and surface the problem by logging
or printing a warning that includes tool_file and the exception message so
missing descriptions are debuggable; keep description default behavior if an
error occurs. Use an existing logger (logger.warning) if available or print to
stderr, and avoid swallowing exceptions silently in the parsing code that
assigns description from the triple-quoted string.
- Around line 412-431: The modules_enable and modules_disable functions
currently only print success messages but perform no actions; either implement
the actual enable/disable logic or change the output to indicate the commands
are stubs. Update modules_enable and modules_disable to locate the module via
the module registry/service (or config store), call the proper
enable_module(name, module_type) / disable_module(name, module_type) operations
(or ModuleManager.enable/disable methods), await or handle their return value,
print success only on true completion, and handle and log errors (printing a
failure message and returning a non-zero exit status). If you choose not to
implement functionality now, change the console prints to clearly state "not
implemented" and return a non-zero exit code or raise a NotImplementedError so
users are not misled.
- Around line 258-316: The agents_create function currently accepts any string
for category and creates agents_dir before validating it, which can cause
AttributeError when using AgentType.{category.upper()}; validate category early
by either changing the typer.Option to use typer.Choice(...) with the allowed
categories or by checking if category.upper() exists in AgentType.__members__
and returning a clear error via console.print(...) and raise typer.Exit(1) if
invalid; move the agents_dir = BASHD_ROOT / 'agents' / category and its mkdir
call to after successful validation and use getattr(AgentType, category.upper())
(or AgentType[category.upper()]) when constructing the agent type to avoid
runtime AttributeError.
In `@scripts/generate_docs.py`:
- Around line 347-364: The CLI lacks a --verbose flag; update the argparse in
main() to add a --verbose (store_true) option, propagate that flag to the
DocGenerator instance (either by passing verbose to DocGenerator(...) or setting
generator.verbose = args.verbose), and have the generator (methods like
DocGenerator.generate_all and any internal file-processing functions) respect
generator.verbose to print which files are being processed (without changing
existing behavior when verbose is False).
- Line 59: Replace all uses of naive datetimes created with datetime.now()
inside the f-string output.append(...) calls (e.g., output.append(f"Generated:
{datetime.now().isoformat()}\n\n")) with timezone-aware datetimes by calling
datetime.now(timezone.utc). Also ensure timezone is imported (e.g., from
datetime import timezone) or referenced as datetime.timezone; apply this change
to every occurrence where datetime.now() is formatted into the generated output
so all timestamps are UTC-aware and use .isoformat().
- Around line 246-291: The bare "except: pass" in _parse_python_file swallows
parse errors—change it to catch Exception as e and log the failure with the file
path and exception details (use logger.exception or logger.error(...,
exc_info=True)) so you know which module failed; reference the
_parse_python_file function, the path variable, and the result return path; if
there is no existing logger on the class, import logging and use
logging.getLogger(__name__) to emit the message, then continue returning result
(do not re-raise).
In `@scripts/project_health.py`:
- Around line 97-98: Three bare "except: pass" blocks are silently swallowing
errors; replace each with specific exception handling (e.g., except (OSError,
UnicodeDecodeError) as e:) and log the exception and context instead of passing;
ensure you re-raise or let through KeyboardInterrupt/SystemExit by adding
"except (KeyboardInterrupt, SystemExit): raise" if needed, and as a fallback
catch unexpected exceptions with "except Exception as e:" that logs the error
(use the module's logger or print with identifying context) so the health
checker does not silently ignore real failures.
- Line 22: The timestamp field's default_factory in scripts/project_health.py
creates a naive datetime by calling datetime.now() without a timezone; update
the default_factory for the timestamp field (the lambda assigned to timestamp:
str = field(default_factory=...)) to produce a timezone-aware UTC datetime (use
datetime.now with timezone.utc) and ensure the module imports timezone from
datetime if not already imported, then call .isoformat() on that timezone-aware
datetime.
- Around line 170-173: Rename the ambiguous list-comprehension variable `l` to a
clearer name (e.g., `line`) in the block that reads requirements: locate the
code inside scripts/project_health.py where you open `req_file` and build `lines
= [l.strip() for l in f if l.strip() and not l.startswith('#')]` and change it
to use `line` (e.g., `lines = [line.strip() for line in f if line.strip() and
not line.startswith('#')]`) so the `strip()` and `startswith('#')` checks
reference the clearer identifier; leave the assignment to
`self.report.statistics['dependencies']` unchanged.
- Around line 177-201: The _check_git_status method runs subprocess.run for
['git', 'status', '--porcelain'] and ['git', 'branch', '--show-current'] without
timeouts; update both subprocess.run calls in _check_git_status to pass
timeout=5 (matching the shell check) and catch subprocess.TimeoutExpired
specifically (in addition to the existing generic Exception) to append a clear
warning to self.report.warnings like "Git check timed out" while preserving
existing behavior for other exceptions; ensure you reference and modify the two
subprocess.run invocations in _check_git_status accordingly.
📜 Review details
Configuration used: Organization UI
Review profile: ASSERTIVE
Plan: Pro
📒 Files selected for processing (9)
.pre-commit-config.yamlMakefilebash_functions.d/core/repo_helpers.shlib/config_manager.pylib/module_registry.pypyproject.tomlscripts/bashd_cli.pyscripts/generate_docs.pyscripts/project_health.py
🧰 Additional context used
📓 Path-based instructions (2)
scripts/**
⚙️ CodeRabbit configuration file
scripts/**: These scripts are utilities and CLIs.
- Check for UX: clear help text, --dry-run support, and safe defaults.
- Make sure exit codes are meaningful.
- Ensure logging is structured enough for later analysis.
- Suggest refactoring repeated logic into shared libraries where helpful.
Files:
scripts/bashd_cli.pyscripts/project_health.pyscripts/generate_docs.py
**/*.sh
⚙️ CodeRabbit configuration file
**/*.sh: These are shell scripts used for automation and installer flows.
Enforce:
- Correct shebang and compatibility with the declared shell.
set -euo pipefailand appropriatetrapfor cleanup where safe.- Clear logging and error messages.
- Input validation for user-provided arguments and environment variables.
- No destructive commands without explicit safeguards.
- Idempotency where reasonable (safe to re-run).
Files:
bash_functions.d/core/repo_helpers.sh
🧬 Code graph analysis (4)
scripts/bashd_cli.py (3)
scripts/project_health.py (3)
ProjectHealthChecker(31-282)check_all(38-48)print_report(228-270)lib/config_manager.py (2)
replace(160-166)load(82-128)lib/module_registry.py (1)
load(373-398)
bash_functions.d/core/repo_helpers.sh (4)
scripts/bashd_cli.py (1)
status(83-110)bash_functions.d/system/system_utils.sh (1)
check(220-232)scripts/generate_docs.py (1)
main(347-360)scripts/project_health.py (1)
main(285-303)
scripts/generate_docs.py (4)
agents/api_server.py (1)
root(104-117)bash_functions.d/system/system_utils.sh (1)
cls(406-409)lib/config_manager.py (1)
replace(160-166)scripts/project_health.py (1)
main(285-303)
lib/config_manager.py (1)
lib/module_registry.py (1)
_find_root(83-92)
🪛 checkmake (0.2.2)
Makefile
[warning] 27-27: Target body for "help" exceeds allowed length of 5 (7).
(maxbodylength)
[warning] 171-171: Target body for "clean" exceeds allowed length of 5 (9).
(maxbodylength)
[warning] 4-4: Missing required phony target "all"
(minphony)
[warning] 89-89: Target "check" should be declared PHONY.
(phonydeclared)
🪛 Ruff (0.14.11)
scripts/bashd_cli.py
22-22: typing.List is deprecated, use list instead
(UP035)
22-22: typing.Dict is deprecated, use dict instead
(UP035)
121-121: String contains ambiguous ℹ (INFORMATION SOURCE). Did you mean i (LATIN SMALL LETTER I)?
(RUF001)
147-147: Boolean-typed positional argument in function definition
(FBT001)
147-147: Boolean positional value in function call
(FBT003)
179-179: Boolean-typed positional argument in function definition
(FBT001)
179-179: Unused function argument: verbose
(ARG001)
179-179: Boolean positional value in function call
(FBT003)
239-239: Unnecessary mode argument
Remove mode argument
(UP015)
337-337: Unnecessary mode argument
Remove mode argument
(UP015)
360-360: Unnecessary mode argument
Remove mode argument
(UP015)
363-363: Do not catch blind exception: Exception
(BLE001)
367-367: Unnecessary mode argument
Remove mode argument
(UP015)
370-370: Do not catch blind exception: Exception
(BLE001)
457-457: Unnecessary mode argument
Remove mode argument
(UP015)
463-463: Do not use bare except
(E722)
463-464: try-except-pass detected, consider logging the exception
(S110)
484-484: Unnecessary mode argument
Remove mode argument
(UP015)
lib/module_registry.py
21-21: Import from collections.abc instead: Callable
Import from collections.abc
(UP035)
21-21: typing.Dict is deprecated, use dict instead
(UP035)
21-21: typing.List is deprecated, use list instead
(UP035)
21-21: typing.Type is deprecated, use type instead
(UP035)
77-77: Missing return type annotation for special method __init__
Add return type annotation: None
(ANN204)
94-94: Boolean-typed positional argument in function definition
(FBT001)
94-94: Boolean default positional argument in function definition
(FBT002)
280-280: Unnecessary mode argument
Remove mode argument
(UP015)
287-287: Do not use bare except
(E722)
287-288: try-except-pass detected, consider logging the exception
(S110)
294-294: Unnecessary mode argument
Remove mode argument
(UP015)
301-301: Do not use bare except
(E722)
301-302: try-except-pass detected, consider logging the exception
(S110)
323-323: Loop control variable key not used within loop body
Rename unused key to _key
(B007)
333-333: Boolean-typed positional argument in function definition
(FBT001)
333-333: Boolean default positional argument in function definition
(FBT002)
373-373: Dynamically typed expressions (typing.Any) are disallowed in load
(ANN401)
380-380: Avoid specifying long messages outside the exception class
(TRY003)
383-383: Avoid specifying long messages outside the exception class
(TRY003)
395-395: datetime.datetime.now() called without a tz argument
(DTZ005)
412-412: Unused method argument: format
(ARG002)
418-418: datetime.datetime.now() called without a tz argument
(DTZ005)
scripts/project_health.py
22-22: datetime.datetime.now() called without a tz argument
(DTZ005)
34-34: Missing return type annotation for special method __init__
Add return type annotation: None
(ANN204)
50-50: Missing return type annotation for private function _check_structure
Add return type annotation: None
(ANN202)
70-70: Missing return type annotation for private function _check_python_files
Add return type annotation: None
(ANN202)
81-81: Unnecessary mode argument
Remove mode argument
(UP015)
95-95: Unnecessary mode argument
Remove mode argument
(UP015)
97-97: Do not use bare except
(E722)
97-98: try-except-pass detected, consider logging the exception
(S110)
101-101: Missing return type annotation for private function _check_shell_scripts
Add return type annotation: None
(ANN202)
113-113: subprocess call: check for execution of untrusted input
(S603)
114-114: Starting a process with a partial executable path
(S607)
121-121: Do not use bare except
(E722)
121-122: try-except-pass detected, consider logging the exception
(S110)
127-127: Missing return type annotation for private function _check_tests
Add return type annotation: None
(ANN202)
136-136: Unnecessary mode argument
Remove mode argument
(UP015)
139-139: Do not use bare except
(E722)
139-140: try-except-pass detected, consider logging the exception
(S110)
150-150: Missing return type annotation for private function _check_documentation
Add return type annotation: None
(ANN202)
160-160: Unnecessary mode argument
Remove mode argument
(UP015)
167-167: Missing return type annotation for private function _check_dependencies
Add return type annotation: None
(ANN202)
171-171: Unnecessary mode argument
Remove mode argument
(UP015)
172-172: Ambiguous variable name: l
(E741)
177-177: Missing return type annotation for private function _check_git_status
Add return type annotation: None
(ANN202)
182-182: Starting a process with a partial executable path
(S607)
193-193: Starting a process with a partial executable path
(S607)
200-200: Do not catch blind exception: Exception
(BLE001)
203-203: Missing return type annotation for private function _calculate_score
Add return type annotation: None
(ANN202)
scripts/generate_docs.py
17-17: typing.Dict is deprecated, use dict instead
(UP035)
17-17: typing.List is deprecated, use list instead
(UP035)
24-24: Missing return type annotation for special method __init__
Add return type annotation: None
(ANN204)
52-52: Missing return type annotation for private function _generate_agents_docs
Add return type annotation: None
(ANN202)
59-59: datetime.datetime.now() called without a tz argument
(DTZ005)
107-107: Missing return type annotation for private function _generate_tools_docs
Add return type annotation: None
(ANN202)
114-114: datetime.datetime.now() called without a tz argument
(DTZ005)
143-143: Missing return type annotation for private function _generate_functions_docs
Add return type annotation: None
(ANN202)
150-150: datetime.datetime.now() called without a tz argument
(DTZ005)
182-182: Missing return type annotation for private function _generate_config_docs
Add return type annotation: None
(ANN202)
189-189: datetime.datetime.now() called without a tz argument
(DTZ005)
200-200: Unnecessary mode argument
Remove mode argument
(UP015)
214-214: Do not use bare except
(E722)
214-215: try-except-pass detected, consider logging the exception
(S110)
220-220: Missing return type annotation for private function _generate_index
Add return type annotation: None
(ANN202)
223-223: datetime.datetime.now() called without a tz argument
(DTZ005)
256-256: Unnecessary mode argument
Remove mode argument
(UP015)
288-288: Do not use bare except
(E722)
288-289: try-except-pass detected, consider logging the exception
(S110)
305-305: Unnecessary mode argument
Remove mode argument
(UP015)
318-318: Do not use bare except
(E722)
318-319: try-except-pass detected, consider logging the exception
(S110)
323-323: Dynamically typed expressions (typing.Any) are disallowed in data
(ANN401)
323-323: Dynamically typed expressions (typing.Any) are disallowed in _get_structure
(ANN401)
lib/config_manager.py
17-17: typing.Dict is deprecated, use dict instead
(UP035)
17-17: typing.List is deprecated, use list instead
(UP035)
41-41: Unnecessary pass statement
Remove unnecessary pass
(PIE790)
56-56: Missing return type annotation for special method __init__
Add return type annotation: None
(ANN204)
82-82: Boolean-typed positional argument in function definition
(FBT001)
82-82: Boolean default positional argument in function definition
(FBT002)
117-117: Avoid specifying long messages outside the exception class
(TRY003)
144-144: Unnecessary mode argument
Remove mode argument
(UP015)
149-149: Avoid specifying long messages outside the exception class
(TRY003)
154-154: Avoid specifying long messages outside the exception class
(TRY003)
156-156: Dynamically typed expressions (typing.Any) are disallowed in data
(ANN401)
156-156: Dynamically typed expressions (typing.Any) are disallowed in _interpolate_env
(ANN401)
160-160: Missing return type annotation for private function replace
(ANN202)
175-175: Dynamically typed expressions (typing.Any) are disallowed in default
(ANN401)
175-175: Dynamically typed expressions (typing.Any) are disallowed in get
(ANN401)
274-274: Dynamically typed expressions (typing.Any) are disallowed in data
(ANN401)
345-345: Dynamically typed expressions (typing.Any) are disallowed in default
(ANN401)
345-345: Dynamically typed expressions (typing.Any) are disallowed in get_config
(ANN401)
350-350: Boolean-typed positional argument in function definition
(FBT001)
350-350: Boolean default positional argument in function definition
(FBT002)
⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (5)
- GitHub Check: Seer Code Review
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🔇 Additional comments (17)
bash_functions.d/core/repo_helpers.sh (1)
334-339: LGTM — Function exports are correctly declared.All public functions are properly exported with
export -f, enabling them to be available in subshells and integrating well with the CLI tooling.lib/module_registry.py (1)
65-92: Well-structured registry class with clear separation of concerns.The registry pattern with lazy discovery, caching, and filtering is solid. The
_find_rootlogic properly mirrors the Bash helper and config manager implementations.lib/config_manager.py (2)
156-173: Environment variable interpolation is well-implemented.Clean recursive implementation supporting
${VAR}and${VAR:-default}patterns. The fallback to the original match when no env var exists is sensible for debugging.
44-61: Configuration manager core design is solid.Good feature set: multi-format loading, environment interpolation, validation, hierarchical merging, and caching. The lazy-loading approach and dot-notation access pattern are user-friendly.
pyproject.toml (4)
81-123: Ruff and formatting configuration is well-tuned.Sensible rule selection (E, W, F, I, B, C4, UP) with appropriate ignores. The
per-file-ignoresfor__init__.pyand tests are good practice.
140-156: Coverage configuration properly excludes non-source directories.Source targeting
agentsandtoolswith branch coverage enabled. Exclusion patterns for tests and__pycache__are correct.
59-62: Entry points requirescriptsto be importable as a module.The entry points reference
scripts.bashd_cli:app, etc. This requires either ascripts/__init__.pyfile or explicit namespace-package configuration. Verify that one of these approaches is in place, or these entry points will fail on installation.
29-34: All specified dependency versions are available on PyPI and appropriate. Pydantic 2.10.0 (Nov 2024), Typer 0.15.0 (Dec 2024), Rich 14.0.0 (March 2025), and PyYAML 6.0 (Oct 2021) all exist as documented releases. No concerns with the pinned versions..pre-commit-config.yaml (4)
23-24:check-yamlwith--unsafeflag disables safe YAML loading.The
--unsafeflag allows arbitrary Python code execution in YAML files via!!python/objecttags. If you're only checking syntax (not loading untrusted YAML), this is likely fine, but worth understanding the risk.Is there a specific reason
--unsafeis needed? If your YAML files use custom tags or complex constructors, this is necessary. Otherwise, consider removing it for defense-in-depth.
34-41: Good shellcheck configuration with appropriate exclusions.Severity set to warning and excluding
bash_history.dandbash_secrets.ddirectories is sensible. Aligns with the shell script coding guidelines.
58-62: CI autofix configuration is enabled — ensure this is intentional.
autofix_prs: truemeans pre-commit.ci will automatically commit fixes to PRs. This can be convenient but may surprise contributors. Just confirm this is the desired behavior.
4-14: Ruff hooks properly configured with fix-on-commit.Using both
ruff(linting with--fix) andruff-formatensures consistent code style. The--exit-non-zero-on-fixflag correctly fails the hook when fixes are applied, prompting re-commit.Makefile (1)
36-57: LGTM on core test and install targets.The test targets are well-structured with sensible defaults: verbose output for
test, coverage fortest-cov, and quick mode for rapid iteration. The pytest invocation pattern is clean.scripts/project_health.py (1)
285-307: CLI entry point with meaningful exit codes — good UX.The
main()function correctly provides--jsonoutput for machine consumption and exits with code 1 if health score < 60. This aligns with the coding guidelines for meaningful exit codes. The argparse setup provides clear help text.scripts/bashd_cli.py (1)
96-110: Status command with clear visual indicators — good UX.The status table with green checkmarks and red X marks provides clear, at-a-glance feedback. The component checks cover the essential directories. Well done on the Rich integration.
scripts/generate_docs.py (2)
300-321: Bash function regex may miss some patterns.The regex on line 309 attempts to capture bash functions with optional preceding comments. A few edge cases to be aware of:
- Multi-line comments before functions won't be captured (only single
#line)- Functions defined as
function foo { }(without parentheses) won't match- The pattern may false-positive on lines that happen to have
()after a wordFor a documentation generator, this is probably acceptable, but consider documenting these limitations or using a more robust parser like
bashateorshellcheck --shell=bash -f checkstyleif accuracy is critical.
323-344:_get_structurehelper is a nice touch for JSON schema inference.The recursive structure extraction with depth limiting and type mapping is well-designed. Limiting to 3 levels deep and 5 keys per dict prevents runaway output on large configs. Clean implementation.
✏️ Tip: You can disable this entire section by setting review_details to false in your review settings.
| #!/bin/bash | ||
| # Repository management helper functions for bash.d | ||
| # Provides utilities for managing the bash.d configuration system | ||
|
|
There was a problem hiding this comment.
Missing set -euo pipefail for shell safety.
Per coding guidelines, shell scripts must include set -euo pipefail after the shebang to ensure proper error handling. This script sources into interactive shells, so you may want to guard it or apply it selectively, but the functions themselves should handle errors explicitly.
Consider adding at minimum explicit error handling within functions that perform critical operations (git, file manipulation).
Proposed approach
For sourced scripts, you can't blindly set pipefail at the top since it affects the parent shell. However, wrap critical operations:
# For functions with critical operations, use subshells or explicit checks:
bashd_commit() {
local type="${1:-feat}"
local message="${2:-Update}"
local root
root=$(bashd_root) || return 1
cd "$root" || return 1
# Validate we have something to commit
if [[ -z "$(git status --porcelain 2>/dev/null)" ]]; then
echo "⚠️ No changes to commit" >&2
return 0
fi
git add -A || { echo "❌ Failed to stage changes" >&2; return 1; }
git commit -m "$type: $message" || { echo "❌ Commit failed" >&2; return 1; }
echo "✓ Committed: $type: $message"
}As per coding guidelines for **/*.sh files.
🤖 Prompt for AI Agents
In `@bash_functions.d/core/repo_helpers.sh` around lines 1 - 4, This file lacks
safe-error handling for critical operations and you should not set global "set
-euo pipefail" because the script is sourced; instead, update each critical
function (e.g., bashd_commit, any functions that call git or perform file I/O,
and those that call bashd_root) to perform strict, local error checks: capture
bashd_root with "root=$(bashd_root) || return 1", cd with "cd \"$root\" ||
return 1", verify work to do with "if [[ -z \"$(git status --porcelain
2>/dev/null)\" ]]; then ...; return 0; fi", and check every git/file command's
exit status (git add, git commit, file writes) returning non‑zero and logging
errors on failure; alternatively wrap the critical sequence in a subshell that
enables "set -euo pipefail" for those operations only to avoid affecting the
parent shell.
| # Run tests | ||
| bashd_test() { | ||
| local root | ||
| root=$(bashd_root) | ||
| local target="${1:-}" | ||
|
|
||
| echo "🧪 Running tests..." | ||
|
|
||
| if [[ -n "$target" ]]; then | ||
| python3 -m pytest "$root/tests/test_$target.py" -v | ||
| else | ||
| python3 -m pytest "$root/tests/" -v | ||
| fi | ||
| } |
There was a problem hiding this comment.
🧹 Nitpick | 🔵 Trivial
bashd_test passes user input directly to pytest without sanitization.
The $target variable is interpolated directly into the path without validation. While shell injection is limited here, a malformed target could cause confusing errors or attempt to access unintended paths.
Add basic validation
bashd_test() {
local root
root=$(bashd_root)
local target="${1:-}"
echo "🧪 Running tests..."
if [[ -n "$target" ]]; then
+ # Sanitize: allow only alphanumeric and underscore
+ if [[ ! "$target" =~ ^[a-zA-Z0-9_]+$ ]]; then
+ echo "❌ Invalid test target: $target" >&2
+ return 1
+ fi
+ local test_file="$root/tests/test_$target.py"
+ if [[ ! -f "$test_file" ]]; then
+ echo "❌ Test file not found: $test_file" >&2
+ return 1
+ fi
- python3 -m pytest "$root/tests/test_$target.py" -v
+ python3 -m pytest "$test_file" -v
else
python3 -m pytest "$root/tests/" -v
fi
}📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| # Run tests | |
| bashd_test() { | |
| local root | |
| root=$(bashd_root) | |
| local target="${1:-}" | |
| echo "🧪 Running tests..." | |
| if [[ -n "$target" ]]; then | |
| python3 -m pytest "$root/tests/test_$target.py" -v | |
| else | |
| python3 -m pytest "$root/tests/" -v | |
| fi | |
| } | |
| # Run tests | |
| bashd_test() { | |
| local root | |
| root=$(bashd_root) | |
| local target="${1:-}" | |
| echo "🧪 Running tests..." | |
| if [[ -n "$target" ]]; then | |
| # Sanitize: allow only alphanumeric and underscore | |
| if [[ ! "$target" =~ ^[a-zA-Z0-9_]+$ ]]; then | |
| echo "❌ Invalid test target: $target" >&2 | |
| return 1 | |
| fi | |
| local test_file="$root/tests/test_$target.py" | |
| if [[ ! -f "$test_file" ]]; then | |
| echo "❌ Test file not found: $test_file" >&2 | |
| return 1 | |
| fi | |
| python3 -m pytest "$test_file" -v | |
| else | |
| python3 -m pytest "$root/tests/" -v | |
| fi | |
| } |
🤖 Prompt for AI Agents
In `@bash_functions.d/core/repo_helpers.sh` around lines 163 - 176, The bashd_test
function currently interpolates the user-provided $target directly into a path
used by pytest; validate and sanitize $target (in function bashd_test) before
using it: only allow a safe pattern such as alphanumeric, underscores, and
hyphens (e.g. [[ "$target" =~ ^[A-Za-z0-9_-]+$ ]]) and if it fails, print an
error and exit; next, verify the constructed file "$root/tests/test_$target.py"
exists before invoking python3 -m pytest, and ensure all variables are quoted
when passed to pytest to avoid word-splitting or injection.
| if command -v ruff &>/dev/null; then | ||
| ruff check "$root/agents" "$root/tools" "$root/tests" --fix |
There was a problem hiding this comment.
🧹 Nitpick | 🔵 Trivial
ruff --fix auto-modifies files without confirmation.
Running with --fix silently modifies code. In an infrastructure/homelab environment, unexpected file modifications can be surprising. Consider making --fix optional via an argument.
Optional fix mode
bashd_lint() {
local root
root=$(bashd_root)
+ local fix_flag=""
+
+ if [[ "${1:-}" == "--fix" ]]; then
+ fix_flag="--fix"
+ fi
echo "🔍 Running linters..."
if command -v ruff &>/dev/null; then
- ruff check "$root/agents" "$root/tools" "$root/tests" --fix
+ ruff check "$root/agents" "$root/tools" "$root/tests" $fix_flag
else
echo "⚠️ ruff not installed. Run: pip install ruff"
fi
}🤖 Prompt for AI Agents
In `@bash_functions.d/core/repo_helpers.sh` around lines 185 - 186, The ruff
invocation currently always runs with --fix, which mutates files; change the
conditional that runs ruff (the block checking command -v ruff and the ruff
check "$root/agents" "$root/tools" "$root/tests" --fix line) to make --fix
optional via a flag or env variable (e.g., a RUFF_FIX or --fix-ruff CLI option);
when the variable/option is set include --fix, otherwise run ruff check without
--fix and document the new option in the script help/comment.
| # Quick commit with conventional commit format | ||
| bashd_commit() { | ||
| local type="${1:-feat}" | ||
| local message="${2:-Update}" | ||
| local root | ||
| root=$(bashd_root) | ||
|
|
||
| cd "$root" || return 1 | ||
|
|
||
| git add -A | ||
| git commit -m "$type: $message" | ||
|
|
||
| echo "✓ Committed: $type: $message" | ||
| } |
There was a problem hiding this comment.
bashd_commit performs git add -A without safeguards — potential data hazard.
This blindly stages all changes including potentially sensitive files, new untracked files, or work-in-progress. In a homelab/infrastructure environment, accidentally committing secrets or incomplete work is a real risk.
Recommendations:
- Show what will be committed and prompt for confirmation
- Validate the commit type against conventional commit types
- Check for staged vs. unstaged changes
Safer implementation
bashd_commit() {
local type="${1:-feat}"
local message="${2:-Update}"
local root
root=$(bashd_root)
+ # Validate commit type
+ local valid_types="feat fix docs style refactor perf test build ci chore revert"
+ if [[ ! " $valid_types " =~ " $type " ]]; then
+ echo "❌ Invalid commit type: $type" >&2
+ echo " Valid types: $valid_types" >&2
+ return 1
+ fi
+
cd "$root" || return 1
- git add -A
- git commit -m "$type: $message"
+ # Show what would be committed
+ local changes
+ changes=$(git status --porcelain 2>/dev/null)
+ if [[ -z "$changes" ]]; then
+ echo "ℹ️ No changes to commit"
+ return 0
+ fi
+
+ echo "📋 Changes to be committed:"
+ git status --short
+ echo ""
+ read -r -p "Proceed with commit? [y/N] " confirm
+ if [[ ! "$confirm" =~ ^[Yy]$ ]]; then
+ echo "Aborted."
+ return 1
+ fi
+
+ git add -A
+ git commit -m "$type: $message"
echo "✓ Committed: $type: $message"
}🤖 Prompt for AI Agents
In `@bash_functions.d/core/repo_helpers.sh` around lines 218 - 231, bashd_commit
currently runs git add -A and commits blindly; change it to (1) validate the
first arg against allowed conventional types (feat, fix, docs, style, refactor,
perf, test, chore) and refuse/ask to confirm on invalid types, (2) detect staged
vs unstaged changes using git status --porcelain and show a summary (git status
--short or git diff --name-only) plus the commit message, (3) prompt the user to
confirm before staging/committing and, if they choose not to stage everything,
allow re-running with selective staging instead of running git add -A
automatically, and (4) avoid auto-staging sensitive files by not calling git add
-A unconditionally; only run git add on user confirmation or nominated paths —
update the bashd_commit function to implement these checks and prompts.
| # Update bash.d from remote | ||
| bashd_update() { | ||
| local root | ||
| root=$(bashd_root) | ||
|
|
||
| echo "⬆️ Updating bash.d..." | ||
|
|
||
| cd "$root" || return 1 | ||
|
|
||
| git pull origin main | ||
|
|
||
| echo "✓ Updated successfully" | ||
| echo "💡 Run 'bashd_reload' to apply changes" | ||
| } |
There was a problem hiding this comment.
bashd_update pulls without checking for local changes — risk of conflicts or data loss.
Running git pull origin main when there are uncommitted changes can result in merge conflicts or, worse, data loss. Additionally, hardcoding origin main assumes a specific remote/branch setup.
Safer implementation
bashd_update() {
local root
root=$(bashd_root)
echo "⬆️ Updating bash.d..."
cd "$root" || return 1
+ # Check for uncommitted changes
+ if [[ -n "$(git status --porcelain 2>/dev/null)" ]]; then
+ echo "❌ Uncommitted changes detected. Please commit or stash first." >&2
+ git status --short >&2
+ return 1
+ fi
+
+ # Use current branch's upstream instead of hardcoding
+ local branch
+ branch=$(git branch --show-current 2>/dev/null)
+
- git pull origin main
+ if ! git pull --ff-only; then
+ echo "❌ Pull failed. Manual intervention may be required." >&2
+ return 1
+ fi
echo "✓ Updated successfully"
echo "💡 Run 'bashd_reload' to apply changes"
}📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| # Update bash.d from remote | |
| bashd_update() { | |
| local root | |
| root=$(bashd_root) | |
| echo "⬆️ Updating bash.d..." | |
| cd "$root" || return 1 | |
| git pull origin main | |
| echo "✓ Updated successfully" | |
| echo "💡 Run 'bashd_reload' to apply changes" | |
| } | |
| # Update bash.d from remote | |
| bashd_update() { | |
| local root | |
| root=$(bashd_root) | |
| echo "⬆️ Updating bash.d..." | |
| cd "$root" || return 1 | |
| # Check for uncommitted changes | |
| if [[ -n "$(git status --porcelain 2>/dev/null)" ]]; then | |
| echo "❌ Uncommitted changes detected. Please commit or stash first." >&2 | |
| git status --short >&2 | |
| return 1 | |
| fi | |
| # Use current branch's upstream instead of hardcoding | |
| local branch | |
| branch=$(git branch --show-current 2>/dev/null) | |
| if ! git pull --ff-only; then | |
| echo "❌ Pull failed. Manual intervention may be required." >&2 | |
| return 1 | |
| fi | |
| echo "✓ Updated successfully" | |
| echo "💡 Run 'bashd_reload' to apply changes" | |
| } |
🤖 Prompt for AI Agents
In `@bash_functions.d/core/repo_helpers.sh` around lines 245 - 258, The
bashd_update function currently runs git pull origin main unsafely; change it to
(1) cd into bashd_root, (2) run git fetch, (3) detect uncommitted changes via
git status --porcelain and abort (or prompt/stash) if any, (4) determine the
current branch and its upstream (use git rev-parse --abbrev-ref
--symbolic-full-name @{u} or fallback to branch name and default to "main" only
if no upstream), and (5) perform a safe fast-forward update using git merge
--ff-only <upstream-remote>/<upstream-branch> (or git pull --ff-only <remote>
<branch>) instead of hardcoded git pull origin main; update messages similarly
and keep references to bashd_update and bashd_root so reviewers can find the
change.
| def main(): | ||
| """Main entry point""" | ||
| import argparse | ||
|
|
||
| parser = argparse.ArgumentParser(description='Generate bash.d documentation') | ||
| parser.add_argument('--path', help='Project root path') | ||
| parser.add_argument('--output', help='Output directory') | ||
| args = parser.parse_args() | ||
|
|
||
| generator = DocGenerator(args.path) | ||
| if args.output: | ||
| generator.generated_dir = Path(args.output) | ||
|
|
||
| generator.generate_all() | ||
|
|
||
|
|
||
| if __name__ == '__main__': | ||
| main() |
There was a problem hiding this comment.
🧹 Nitpick | 🔵 Trivial
CLI entry point is functional but minimal.
The argparse setup provides --path and --output options. No --dry-run or --verbose flags per coding guidelines, but for a documentation generator, the impact is lower since it only writes to docs/. Consider adding --verbose to show which files are being processed.
🤖 Prompt for AI Agents
In `@scripts/generate_docs.py` around lines 347 - 364, The CLI lacks a --verbose
flag; update the argparse in main() to add a --verbose (store_true) option,
propagate that flag to the DocGenerator instance (either by passing verbose to
DocGenerator(...) or setting generator.verbose = args.verbose), and have the
generator (methods like DocGenerator.generate_all and any internal
file-processing functions) respect generator.verbose to print which files are
being processed (without changing existing behavior when verbose is False).
| @dataclass | ||
| class HealthReport: | ||
| """Health report data structure""" | ||
| timestamp: str = field(default_factory=lambda: datetime.now().isoformat()) |
There was a problem hiding this comment.
Inconsistent with PR objective: datetime.now() should use timezone.
The PR description states "Replaced deprecated datetime.utcnow() with timezone-aware datetime.now(timezone.utc) across 11 modules" — but this new file uses datetime.now() without a timezone argument. This creates a naive datetime, which is exactly what the PR aimed to eliminate.
🔧 Proposed fix
from datetime import datetime
+from datetime import timezone
from dataclasses import dataclass, field
from typing import Optional
`@dataclass`
class HealthReport:
"""Health report data structure"""
- timestamp: str = field(default_factory=lambda: datetime.now().isoformat())
+ timestamp: str = field(default_factory=lambda: datetime.now(timezone.utc).isoformat())📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| timestamp: str = field(default_factory=lambda: datetime.now().isoformat()) | |
| from datetime import datetime | |
| from datetime import timezone | |
| from dataclasses import dataclass, field | |
| from typing import Optional | |
| `@dataclass` | |
| class HealthReport: | |
| """Health report data structure""" | |
| timestamp: str = field(default_factory=lambda: datetime.now(timezone.utc).isoformat()) |
🧰 Tools
🪛 Ruff (0.14.11)
22-22: datetime.datetime.now() called without a tz argument
(DTZ005)
🤖 Prompt for AI Agents
In `@scripts/project_health.py` at line 22, The timestamp field's default_factory
in scripts/project_health.py creates a naive datetime by calling datetime.now()
without a timezone; update the default_factory for the timestamp field (the
lambda assigned to timestamp: str = field(default_factory=...)) to produce a
timezone-aware UTC datetime (use datetime.now with timezone.utc) and ensure the
module imports timezone from datetime if not already imported, then call
.isoformat() on that timezone-aware datetime.
| except: | ||
| pass |
There was a problem hiding this comment.
Bare except: pass blocks hide real errors.
Multiple locations (lines 97-98, 121-122, 139-140) use bare except: pass. This silently swallows all exceptions, including unexpected ones like PermissionError, UnicodeDecodeError, or KeyboardInterrupt. For a health checker, silently ignoring errors undermines the tool's purpose.
At minimum, catch specific exceptions (OSError, UnicodeDecodeError) or log what's being skipped.
🔧 Proposed fix for one instance (apply pattern to others)
for py_file in py_files[:100]:
try:
with open(py_file) as f:
total_lines += len(f.readlines())
- except:
- pass
+ except (OSError, UnicodeDecodeError) as e:
+ # Skip unreadable files but could log: logging.debug(f"Skipping {py_file}: {e}")
+ passAlso applies to: 121-122, 139-140
🧰 Tools
🪛 Ruff (0.14.11)
97-97: Do not use bare except
(E722)
97-98: try-except-pass detected, consider logging the exception
(S110)
🤖 Prompt for AI Agents
In `@scripts/project_health.py` around lines 97 - 98, Three bare "except: pass"
blocks are silently swallowing errors; replace each with specific exception
handling (e.g., except (OSError, UnicodeDecodeError) as e:) and log the
exception and context instead of passing; ensure you re-raise or let through
KeyboardInterrupt/SystemExit by adding "except (KeyboardInterrupt, SystemExit):
raise" if needed, and as a fallback catch unexpected exceptions with "except
Exception as e:" that logs the error (use the module's logger or print with
identifying context) so the health checker does not silently ignore real
failures.
| if req_file.exists(): | ||
| with open(req_file, 'r') as f: | ||
| lines = [l.strip() for l in f if l.strip() and not l.startswith('#')] | ||
| self.report.statistics['dependencies'] = len(lines) |
There was a problem hiding this comment.
🧹 Nitpick | 🔵 Trivial
Rename ambiguous variable l.
Line 172 uses l as a variable name, which is easily confused with 1 in many fonts. Use a clearer name like line or entry.
🔧 Proposed fix
if req_file.exists():
with open(req_file) as f:
- lines = [l.strip() for l in f if l.strip() and not l.startswith('#')]
+ lines = [line.strip() for line in f if line.strip() and not line.startswith('#')]
self.report.statistics['dependencies'] = len(lines)📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| if req_file.exists(): | |
| with open(req_file, 'r') as f: | |
| lines = [l.strip() for l in f if l.strip() and not l.startswith('#')] | |
| self.report.statistics['dependencies'] = len(lines) | |
| if req_file.exists(): | |
| with open(req_file) as f: | |
| lines = [line.strip() for line in f if line.strip() and not line.startswith('#')] | |
| self.report.statistics['dependencies'] = len(lines) |
🧰 Tools
🪛 Ruff (0.14.11)
171-171: Unnecessary mode argument
Remove mode argument
(UP015)
172-172: Ambiguous variable name: l
(E741)
🤖 Prompt for AI Agents
In `@scripts/project_health.py` around lines 170 - 173, Rename the ambiguous
list-comprehension variable `l` to a clearer name (e.g., `line`) in the block
that reads requirements: locate the code inside scripts/project_health.py where
you open `req_file` and build `lines = [l.strip() for l in f if l.strip() and
not l.startswith('#')]` and change it to use `line` (e.g., `lines =
[line.strip() for line in f if line.strip() and not line.startswith('#')]`) so
the `strip()` and `startswith('#')` checks reference the clearer identifier;
leave the assignment to `self.report.statistics['dependencies']` unchanged.
| def _check_git_status(self): | ||
| """Check git repository status""" | ||
| try: | ||
| # Check for uncommitted changes | ||
| result = subprocess.run( | ||
| ['git', 'status', '--porcelain'], | ||
| capture_output=True, | ||
| text=True, | ||
| cwd=self.root | ||
| ) | ||
| if result.stdout.strip(): | ||
| changes = len(result.stdout.strip().split('\n')) | ||
| self.report.warnings.append(f"{changes} uncommitted changes") | ||
|
|
||
| # Get current branch | ||
| result = subprocess.run( | ||
| ['git', 'branch', '--show-current'], | ||
| capture_output=True, | ||
| text=True, | ||
| cwd=self.root | ||
| ) | ||
| self.report.statistics['git_branch'] = result.stdout.strip() | ||
|
|
||
| except Exception as e: | ||
| self.report.warnings.append(f"Git check failed: {e}") |
There was a problem hiding this comment.
Git subprocess calls lack timeout.
The _check_git_status method runs git status and git branch without a timeout. While unlikely, these could hang indefinitely on a slow or unresponsive git server (especially with network remotes). The shell script check correctly uses timeout=5; apply the same pattern here for consistency.
🔧 Proposed fix
result = subprocess.run(
['git', 'status', '--porcelain'],
capture_output=True,
text=True,
- cwd=self.root
+ cwd=self.root,
+ timeout=10
)
...
result = subprocess.run(
['git', 'branch', '--show-current'],
capture_output=True,
text=True,
- cwd=self.root
+ cwd=self.root,
+ timeout=10
)🧰 Tools
🪛 Ruff (0.14.11)
177-177: Missing return type annotation for private function _check_git_status
Add return type annotation: None
(ANN202)
182-182: Starting a process with a partial executable path
(S607)
193-193: Starting a process with a partial executable path
(S607)
200-200: Do not catch blind exception: Exception
(BLE001)
🤖 Prompt for AI Agents
In `@scripts/project_health.py` around lines 177 - 201, The _check_git_status
method runs subprocess.run for ['git', 'status', '--porcelain'] and ['git',
'branch', '--show-current'] without timeouts; update both subprocess.run calls
in _check_git_status to pass timeout=5 (matching the shell check) and catch
subprocess.TimeoutExpired specifically (in addition to the existing generic
Exception) to append a clear warning to self.report.warnings like "Git check
timed out" while preserving existing behavior for other exceptions; ensure you
reference and modify the two subprocess.run invocations in _check_git_status
accordingly.
User description
Summary
This PR includes comprehensive improvements to the bash.d project:
1. 📦 Dependencies Updated and Cleaned
Updated to current versions:
openai:>=1.50.0(was>=1.0.0)pydantic:>=2.10.0(was>=2.5.0)pydantic-ai:>=1.0.0(was>=0.0.13)fastapi:>=0.115.0(was>=0.104.0)pytest:>=8.3.0(was>=7.4.0)rich:>=14.0.0(was>=13.7.0)Removed unused dependencies:
2. 🧪 Test Coverage Increased
Added 45 comprehensive tests across 3 test files:
test_multiagent_simple.py: Core agent and task teststest_orchestrator.py: Task routing, load balancing, failovertest_integration.py: Workflows, scalability, error handlingconftest.py: Pytest fixtures3. 🐛 Code Issues Fixed
agents/__init__.py- was importing non-existentAgentSpecializationdatetime.utcnow()across 11 agent modules__str__and__repr__methods inBaseAgent1.0.04. 🚀 NEW: Automation & Management Tools
Build System:
CLI Management Tool (scripts/bashd_cli.py):
Project Health Checker (scripts/project_health.py):
Documentation Generator (scripts/generate_docs.py):
Core Libraries:
Bash Helper Functions (bash_functions.d/core/repo_helpers.sh):
Testing
All 45 tests pass:
Quick Start
Checklist
CodeAnt-AI Description
Add bashd-cli, module registry, configuration manager, docs & health tools; increase test coverage; make timestamps timezone-aware
What Changed
Impact
✅ Clearer system status and management via CLI✅ Fewer configuration parsing errors thanks to environment interpolation and validation✅ Consistent, timezone-aware timestamps in logs and reports💡 Usage Guide
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