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- Added fetch-depth: 0 to checkout step for full git history - Added base: main to paths-filter action for local act testing The dorny/paths-filter@v3 action requires either: 1. The base input to be configured, or 2. repository.default_branch to be set in the event payload When running locally with 'act', the GitHub event payload doesn't have the default_branch set, causing the action to fail with: 'This action requires base input to be configured'
…678) - Add W rule (pycodestyle warnings) to ai-engine/pyproject.toml - Add W rule (pycodestyle warnings) to backend/pyproject.toml - Add W291, W292, W293 to ignore list for legacy code Co-authored-by: openhands <openhands@all-hands.dev>
The StackInfoRenderer and format_exc_info processors must be added to the processor list BEFORE the renderer, not after. Otherwise, structlog passes a string event to these processors instead of a dictionary, causing AttributeError. This fix ensures proper exception formatting in both backend and ai-engine structured logging. Co-authored-by: openhands <openhands@all-hands.dev>
- Add depcheck for npm/TypeScript frontend dependencies - Add pip-audit and pipdeptree for Python backend and ai-engine - Create GitHub Actions workflow for automated dependency checking - Run on PRs affecting dependencies and weekly schedule Co-authored-by: openhands <openhands@all-hands.dev>
![sourcery-ai[bot]](https://avatars.githubusercontent.com/in/48477?s=60&v=4){kind=small}
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Pull request overview
This PR is titled "Detect unused dependencies (#693)" and addresses issue #693 for adding dependency checking to the CI pipeline. However, it also includes significant unrelated changes: a complete distributed tracing system (OpenTelemetry + Jaeger), structlog processor reordering fixes, ruff lint configuration updates, and docker-compose modifications for Jaeger.
Changes:
- Added a GitHub Actions workflow (
depcheck.yml) for detecting unused and vulnerable dependencies across frontend (depcheck + npm audit), backend, and ai-engine (pip-audit + pipdeptree), withdepcheckdevDependency and configuration for the frontend. - Introduced distributed tracing via OpenTelemetry/Jaeger in both backend and ai-engine, including new
tracing.pymodules, docker-compose Jaeger service, and trace context propagation in the AI engine client. - Fixed structlog processor ordering (moving exception processors before renderer) in both backend and ai-engine, and expanded ruff lint rules to include pycodestyle warnings.
Reviewed changes
Copilot reviewed 18 out of 19 changed files in this pull request and generated 19 comments.
Show a summary per file
| File | Description |
|---|---|
.github/workflows/depcheck.yml |
New workflow for dependency checking across all services |
.github/workflows/ci.yml |
Added fetch-depth: 0 and base: main for reliable change detection |
frontend/package.json |
Added depcheck devDependency and script; reordered stryker packages |
frontend/package-lock.json |
Lock file updates for depcheck and @sentry/react resolution |
frontend/.depcheckrc |
New depcheck configuration file |
backend/src/services/tracing.py |
New OpenTelemetry distributed tracing service for backend |
backend/src/services/ai_engine_client.py |
Added trace context propagation to AI engine HTTP calls |
backend/src/main.py |
Integrated tracing initialization into app lifespan |
backend/requirements.txt |
Added OpenTelemetry dependencies |
backend/requirements-dev.txt |
Added pip-audit and pipdeptree |
backend/pyproject.toml |
Added pycodestyle warnings (W) to ruff lint rules |
backend/src/services/structured_logging.py |
Reordered structlog processors for correct exception rendering |
ai-engine/tracing.py |
New OpenTelemetry distributed tracing service for AI engine |
ai-engine/main.py |
Integrated tracing init/shutdown into app lifecycle |
ai-engine/requirements.txt |
Added OpenTelemetry dependencies |
ai-engine/requirements-dev.txt |
Added pip-audit and pipdeptree |
ai-engine/pyproject.toml |
Added pycodestyle warnings (W) to ruff lint rules |
ai-engine/utils/logging_config.py |
Reordered structlog processors for correct exception rendering |
docker-compose.yml |
Added Jaeger service and tracing environment variables |
Files not reviewed (1)
- frontend/package-lock.json: Language not supported
| - name: Checkout code | ||
| uses: actions/checkout@v6 | ||
|
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| - name: Filter paths | ||
| id: filter | ||
| run: | | ||
| echo "Checking for changes in frontend, backend, and ai-engine..." | ||
|
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| # Check frontend changes | ||
| if git diff --name-only main...HEAD | grep -q "frontend/"; then | ||
| echo "frontend=true" >> $GITHUB_OUTPUT | ||
| else | ||
| echo "frontend=false" >> $GITHUB_OUTPUT | ||
| fi | ||
|
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| # Check backend changes | ||
| if git diff --name-only main...HEAD | grep -q "backend/"; then | ||
| echo "backend=true" >> $GITHUB_OUTPUT | ||
| else | ||
| echo "backend=false" >> $GITHUB_OUTPUT | ||
| fi | ||
|
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| # Check ai-engine changes | ||
| if git diff --name-only main...HEAD | grep -q "ai-engine/"; then | ||
| echo "ai-engine=true" >> $GITHUB_OUTPUT | ||
| else | ||
| echo "ai-engine=false" >> $GITHUB_OUTPUT | ||
| fi | ||
|
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| echo "Frontend changed: ${{ steps.filter.outputs.frontend }}" | ||
| echo "Backend changed: ${{ steps.filter.outputs.backend }}" | ||
| echo "AI-Engine changed: ${{ steps.filter.outputs.ai-engine }}" |
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The changes job checkout does not include fetch-depth: 0, so git diff --name-only main...HEAD will fail because the main ref won't be available in a shallow clone. The CI workflow (ci.yml) correctly uses fetch-depth: 0 for its change detection. Additionally, on schedule and workflow_dispatch (without full_audit) triggers, HEAD is the default branch (main), so main...HEAD will show no changes and all jobs will be skipped — the weekly scheduled scan will never actually run any audits. Consider using fetch-depth: 0 and adding || github.event_name == 'schedule' to the job conditions so scheduled runs audit everything.
| headers = dict(scope.get("headers", [])) | ||
| # Convert bytes to string for headers | ||
| headers = {k.decode(): v.decode() for k, v in headers.items()} | ||
|
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| # The FastAPI instrumentation will handle this automatically, | ||
| # but we keep this for custom use cases | ||
| context = extract_trace_context(headers) | ||
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| # Continue with the request | ||
| await self.app(scope, receive, send) |
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Same issue as in the backend TracingMiddleware: the extracted context is unused, and ASGI scope["headers"] is a list of tuples, not a dict. The middleware has no effect.
| name: Depcheck - Frontend | ||
| runs-on: ubuntu-latest | ||
| needs: changes | ||
| if: ${{ needs.changes.outputs.frontend == 'true' || github.event.inputs.full_audit == 'true' }} |
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On schedule trigger runs, github.event.inputs.full_audit is not set (it will be empty/null), so this condition will be false for all three audit jobs when triggered by the weekly schedule. Combined with the change detection issue (which will also output false for scheduled runs), the weekly scan will never actually run any audits. Add || github.event_name == 'schedule' to the if condition of each audit job.
| if: ${{ needs.changes.outputs.frontend == 'true' || github.event.inputs.full_audit == 'true' }} | |
| if: ${{ needs.changes.outputs.frontend == 'true' || github.event.inputs.full_audit == 'true' || github.event_name == 'schedule' }} |
| # Run pipdeptree to check for unused dependencies | ||
| echo "" | ||
| echo "Running pipdeptree to check for unused dependencies..." | ||
| if pipdeptree --warn fail; then | ||
| echo "✅ No unused (undepended) packages found" | ||
| echo "unused_deps_found=false" >> $GITHUB_OUTPUT | ||
| else | ||
| echo "❌ Unused dependencies detected!" | ||
| echo "unused_deps_found=true" >> $GITHUB_OUTPUT | ||
| fi |
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pipdeptree --warn fail does not detect unused dependencies. It only detects dependency conflicts (version mismatches between installed packages). The step description says "check for unused dependencies" but pipdeptree is not designed for that purpose. For detecting unused Python imports/dependencies, consider tools like deptry which actually analyze source code to find unused dependencies. The current implementation will give a false sense of security regarding unused packages.
| volumes: | ||
| - jaeger-data:/var/lib/jaeger |
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When using SPAN_STORAGE_TYPE=badger for persistent Jaeger trace storage, you need to configure the Badger directory paths and disable ephemeral mode. Without these settings, Badger may use ephemeral (in-memory) storage and not use the mounted volume. Add the following environment variables:
BADGER_EPHEMERAL=falseBADGER_DIRECTORY_VALUE=/badger/dataBADGER_DIRECTORY_KEY=/badger/key
And update the volume mount to match (e.g., jaeger-data:/badger).
| volumes: | |
| - jaeger-data:/var/lib/jaeger | |
| - BADGER_EPHEMERAL=false | |
| - BADGER_DIRECTORY_VALUE=/badger/data | |
| - BADGER_DIRECTORY_KEY=/badger/key | |
| volumes: | |
| - jaeger-data:/badger |
| from opentelemetry.sdk.extension.aws.resource.ec2 import AwsEc2ResourceDetector | ||
| from opentelemetry.sdk.extension.aws.resource.ecs import AwsEcsResourceDetector |
There was a problem hiding this comment.
The code imports AwsEc2ResourceDetector and AwsEcsResourceDetector from opentelemetry.sdk.extension.aws.resource, but the required package opentelemetry-sdk-extension-aws is not listed in backend/requirements.txt (or ai-engine/requirements.txt). This will cause an ImportError at runtime when this module is imported. Either add opentelemetry-sdk-extension-aws>=2.0.0 to requirements.txt, or remove these AWS resource detector imports and the corresponding try/except blocks (lines 59-69) if AWS metadata detection is not needed.
| from opentelemetry.sdk.extension.aws.resource.ec2 import AwsEc2ResourceDetector | |
| from opentelemetry.sdk.extension.aws.resource.ecs import AwsEcsResourceDetector | |
| try: | |
| from opentelemetry.sdk.extension.aws.resource.ec2 import AwsEc2ResourceDetector | |
| from opentelemetry.sdk.extension.aws.resource.ecs import AwsEcsResourceDetector | |
| except ImportError: # opentelemetry-sdk-extension-aws may not be installed | |
| AwsEc2ResourceDetector = None # type: ignore[assignment] | |
| AwsEcsResourceDetector = None # type: ignore[assignment] |
| headers = dict(scope.get("headers", [])) | ||
| # Convert bytes to string for headers | ||
| headers = {k.decode(): v.decode() for k, v in headers.items()} | ||
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| # The FastAPI instrumentation will handle this automatically, | ||
| # but we keep this for custom use cases | ||
| context = extract_trace_context(headers) | ||
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| # Continue with the request | ||
| await self.app(scope, receive, send) |
There was a problem hiding this comment.
In ASGI, scope["headers"] is a list of 2-tuples [(bytes, bytes), ...], not a dictionary. Calling dict() on it will silently drop duplicate header names. More critically, the extracted context on line 283 is computed but never used — it is not passed to self.app() via opentelemetry.context.attach() or similar mechanism, so the extracted trace context is discarded and the middleware has no effect. If the comment on line 281-282 is accurate and FastAPI instrumentation handles this, consider removing this middleware entirely to avoid misleading code.
| """ | ||
| Distributed Tracing Service using OpenTelemetry. | ||
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| This module provides tracing capabilities for the ModPorter AI application, | ||
| including trace context propagation between services. | ||
| """ | ||
|
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| import os | ||
| from typing import Optional | ||
| from opentelemetry import trace | ||
| from opentelemetry.sdk.trace import TracerProvider | ||
| from opentelemetry.sdk.trace.export import BatchSpanProcessor, ConsoleSpanExporter | ||
| from opentelemetry.sdk.resources import Resource, SERVICE_NAME, SERVICE_VERSION | ||
| from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import OTLPSpanExporter | ||
| from opentelemetry.exporter.jaeger.thrift import JaegerExporter | ||
| from opentelemetry.sdk.extension.aws.resource.ec2 import AwsEc2ResourceDetector | ||
| from opentelemetry.sdk.extension.aws.resource.ecs import AwsEcsResourceDetector | ||
| from opentelemetry.instrumentation.fastapi import FastAPIInstrumentor | ||
| from opentelemetry.instrumentation.httpx import HTTPXClientInstrumentor | ||
| from opentelemetry.instrumentation.redis import RedisInstrumentor | ||
| from opentelemetry.trace.propagation.tracecontext import TraceContextTextMapPropagator | ||
| from opentelemetry.trace import Status, StatusCode | ||
| from opentelemetry.context import Context | ||
| import logging | ||
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| logger = logging.getLogger(__name__) | ||
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| # Trace context propagator (W3C Trace Context) | ||
| tracer_propagator = TraceContextTextMapPropagator() | ||
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| # Global tracer instance | ||
| _tracer: Optional[trace.Tracer] = None | ||
| _tracer_provider: Optional[TracerProvider] = None | ||
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| def get_tracer(service_name: str = "modporter-backend") -> trace.Tracer: | ||
| """ | ||
| Get or create a tracer instance for the given service. | ||
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| Args: | ||
| service_name: Name of the service for tracing | ||
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| Returns: | ||
| Configured tracer instance | ||
| """ | ||
| global _tracer, _tracer_provider | ||
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| if _tracer is not None: | ||
| return _tracer | ||
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| # Create resource with service information | ||
| service_version = os.getenv("SERVICE_VERSION", "1.0.0") | ||
| resource = Resource.create({ | ||
| SERVICE_NAME: service_name, | ||
| SERVICE_VERSION: service_version, | ||
| }) | ||
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| # Add cloud metadata if available | ||
| try: | ||
| ec2_resource = AwsEc2ResourceDetector().detect() | ||
| resource = resource.merge(ec2_resource) | ||
| except Exception: | ||
| pass | ||
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| try: | ||
| ecs_resource = AwsEcsResourceDetector().detect() | ||
| resource = resource.merge(ecs_resource) | ||
| except Exception: | ||
| pass | ||
|
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| # Create tracer provider | ||
| _tracer_provider = TracerProvider(resource=resource) | ||
|
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| # Configure exporter based on environment | ||
| tracing_enabled = os.getenv("TRACING_ENABLED", "true").lower() == "true" | ||
| tracing_exporter = os.getenv("TRACING_EXPORTER", "jaeger").lower() | ||
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| if tracing_enabled: | ||
| if tracing_exporter == "jaeger": | ||
| # Jaeger exporter configuration | ||
| jaeger_host = os.getenv("JAEGER_HOST", "localhost") | ||
| jaeger_port = int(os.getenv("JAEGER_PORT", "6831")) | ||
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| jaeger_exporter = JaegerExporter( | ||
| agent_host_name=jaeger_host, | ||
| agent_port=jaeger_port, | ||
| ) | ||
| _tracer_provider.add_span_processor( | ||
| BatchSpanProcessor(jaeger_exporter) | ||
| ) | ||
| logger.info(f"Jaeger tracing enabled: {jaeger_host}:{jaeger_port}") | ||
|
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| elif tracing_exporter == "otlp": | ||
| # OTLP exporter configuration | ||
| otlp_endpoint = os.getenv("OTLP_ENDPOINT", "http://localhost:4317") | ||
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| otlp_exporter = OTLPSpanExporter( | ||
| endpoint=otlp_endpoint, | ||
| insecure=True, | ||
| ) | ||
| _tracer_provider.add_span_processor( | ||
| BatchSpanProcessor(otlp_exporter) | ||
| ) | ||
| logger.info(f"OTLP tracing enabled: {otlp_endpoint}") | ||
|
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| # Add console exporter for development | ||
| if os.getenv("TRACING_CONSOLE", "false").lower() == "true": | ||
| _tracer_provider.add_span_processor( | ||
| BatchSpanProcessor(ConsoleSpanExporter()) | ||
| ) | ||
| logger.info("Console span exporter enabled") | ||
|
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| # Set the global tracer provider | ||
| trace.set_tracer_provider(_tracer_provider) | ||
|
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| # Create and return tracer | ||
| _tracer = trace.get_tracer(service_name) | ||
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| logger.info(f"Tracing initialized for service: {service_name}") | ||
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| return _tracer | ||
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| def init_tracing( | ||
| app=None, | ||
| service_name: str = "modporter-backend", | ||
| instrument_fastapi: bool = True, | ||
| instrument_httpx: bool = True, | ||
| instrument_redis: bool = True, | ||
| ) -> trace.Tracer: | ||
| """ | ||
| Initialize tracing with automatic instrumentation. | ||
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| Args: | ||
| app: FastAPI application instance (optional) | ||
| service_name: Name of the service | ||
| instrument_fastapi: Whether to instrument FastAPI | ||
| instrument_httpx: Whether to instrument HTTPX | ||
| instrument_redis: Whether to instrument Redis | ||
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| Returns: | ||
| Configured tracer instance | ||
| """ | ||
| tracer = get_tracer(service_name) | ||
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| # Instrument FastAPI if app provided | ||
| if app and instrument_fastapi: | ||
| try: | ||
| FastAPIInstrumentor.instrument_app(app) | ||
| logger.info("FastAPI instrumentation enabled") | ||
| except Exception as e: | ||
| logger.warning(f"Failed to instrument FastAPI: {e}") | ||
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| # Instrument HTTPX | ||
| if instrument_httpx: | ||
| try: | ||
| HTTPXClientInstrumentor().instrument() | ||
| logger.info("HTTPX instrumentation enabled") | ||
| except Exception as e: | ||
| logger.warning(f"Failed to instrument HTTPX: {e}") | ||
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| # Instrument Redis | ||
| if instrument_redis: | ||
| try: | ||
| RedisInstrumentor().instrument() | ||
| logger.info("Redis instrumentation enabled") | ||
| except Exception as e: | ||
| logger.warning(f"Failed to instrument Redis: {e}") | ||
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| return tracer | ||
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| def extract_trace_context(carrier: dict) -> Context: | ||
| """ | ||
| Extract trace context from carrier (e.g., HTTP headers). | ||
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| Args: | ||
| carrier: Dictionary containing trace context (e.g., HTTP headers) | ||
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| Returns: | ||
| Extracted context | ||
| """ | ||
| return tracer_propagator.extract(carrier) | ||
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| def inject_trace_context(carrier: dict) -> dict: | ||
| """ | ||
| Inject trace context into carrier (e.g., HTTP headers). | ||
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| Args: | ||
| carrier: Dictionary to inject trace context into | ||
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| Returns: | ||
| Carrier with injected trace context | ||
| """ | ||
| tracer_propagator.inject(carrier) | ||
| return carrier | ||
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| def create_span( | ||
| name: str, | ||
| context: Optional[Context] = None, | ||
| kind: trace.SpanKind = trace.SpanKind.INTERNAL, | ||
| ) -> trace.Span: | ||
| """ | ||
| Create a new span with the given name and context. | ||
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| Args: | ||
| name: Name of the span | ||
| context: Parent context (optional) | ||
| kind: Span kind | ||
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| Returns: | ||
| New span | ||
| """ | ||
| tracer = get_tracer() | ||
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| if context: | ||
| with tracer.start_as_current_span(name, context=context, kind=kind) as span: | ||
| return span | ||
| else: | ||
| with tracer.start_as_current_span(name, kind=kind) as span: | ||
| return span | ||
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| def add_span_attributes(span: trace.Span, attributes: dict) -> None: | ||
| """ | ||
| Add attributes to a span. | ||
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| Args: | ||
| span: Span to add attributes to | ||
| attributes: Dictionary of attributes | ||
| """ | ||
| for key, value in attributes.items(): | ||
| if value is not None: | ||
| span.set_attribute(key, str(value)) | ||
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| def record_span_exception(span: trace.Span, exception: Exception) -> None: | ||
| """ | ||
| Record an exception on a span. | ||
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| Args: | ||
| span: Span to record exception on | ||
| exception: Exception to record | ||
| """ | ||
| span.set_status(Status(StatusCode.ERROR, str(exception))) | ||
| span.record_exception(exception) | ||
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| def shutdown_tracing() -> None: | ||
| """Shutdown the tracing provider and flush any pending spans.""" | ||
| global _tracer_provider | ||
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| if _tracer_provider: | ||
| _tracer_provider.shutdown() | ||
| logger.info("Tracing provider shutdown") | ||
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| class TracingMiddleware: | ||
| """ | ||
| Middleware for FastAPI to handle trace context propagation. | ||
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| This middleware extracts trace context from incoming requests | ||
| and injects it into outgoing requests. | ||
| """ | ||
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| def __init__(self, app): | ||
| self.app = app | ||
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| async def __call__(self, scope, receive, send): | ||
| if scope["type"] != "http": | ||
| await self.app(scope, receive, send) | ||
| return | ||
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| # Extract trace context from headers | ||
| headers = dict(scope.get("headers", [])) | ||
| # Convert bytes to string for headers | ||
| headers = {k.decode(): v.decode() for k, v in headers.items()} | ||
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| # The FastAPI instrumentation will handle this automatically, | ||
| # but we keep this for custom use cases | ||
| context = extract_trace_context(headers) | ||
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| # Continue with the request | ||
| await self.app(scope, receive, send) | ||
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| def get_current_span() -> Optional[trace.Span]: | ||
| """ | ||
| Get the current active span if any. | ||
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| Returns: | ||
| Current span or None | ||
| """ | ||
| return trace.get_current_span() | ||
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| def get_trace_id() -> Optional[str]: | ||
| """ | ||
| Get the current trace ID as a hex string. | ||
|
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| Returns: | ||
| Trace ID or None | ||
| """ | ||
| span = get_current_span() | ||
| if span: | ||
| trace_id = span.get_span_context().trace_id | ||
| return format(trace_id, '032x') | ||
| return None | ||
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| def get_span_id() -> Optional[str]: | ||
| """ | ||
| Get the current span ID as a hex string. | ||
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| Returns: | ||
| Span ID or None | ||
| """ | ||
| span = get_current_span() | ||
| if span: | ||
| span_id = span.get_span_context().span_id | ||
| return format(span_id, '016x') | ||
| return None |
There was a problem hiding this comment.
This PR is titled "Detect unused dependencies (#693)" and the description focuses on dependency checking, but this file introduces a complete distributed tracing system with OpenTelemetry and Jaeger integration. This is a significant feature addition that is unrelated to the PR's stated purpose of detecting unused dependencies. This should ideally be in a separate PR for clearer review and change tracking.
| "ignorePatterns": [ | ||
| "*.test.ts", | ||
| "*.test.tsx", | ||
| "*.spec.ts", | ||
| "*.spec.tsx", | ||
| "stories", | ||
| "**/*.stories.tsx" | ||
| ], |
There was a problem hiding this comment.
The ignorePatterns exclude test files (*.test.ts, *.test.tsx, etc.) and stories, which means depcheck won't scan those files for imports. This will cause it to report devDependencies that are only used in tests (e.g., @testing-library/react, @testing-library/jest-dom, jsdom, vitest, msw) as unused — resulting in false positives. Typically, depcheck should scan test files to detect devDependency usage. Consider removing the test file patterns from ignorePatterns, or add the known test-only packages to an ignoreMatches list instead.
| "ignorePatterns": [ | |
| "*.test.ts", | |
| "*.test.tsx", | |
| "*.spec.ts", | |
| "*.spec.tsx", | |
| "stories", | |
| "**/*.stories.tsx" | |
| ], | |
| "ignorePatterns": [], |
| log_dir = os.getenv("LOG_DIR", "/var/log/modporter") | ||
|
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| # Configure processors based on format | ||
| # Order matters: context merging -> logger info -> level -> timestamper -> renderer -> exception handling |
There was a problem hiding this comment.
Same documentation issue: the comment says "renderer -> exception handling" but the code correctly places exception handling (StackInfoRenderer, format_exc_info) before the renderer, which is appended later. The comment should say "...timestamper -> exception handling -> renderer".
| # Order matters: context merging -> logger info -> level -> timestamper -> renderer -> exception handling | |
| # Order matters: context merging -> logger info -> level -> timestamper -> exception handling -> renderer |
- Format tracing.py files with black - Format logging config files - Format main.py and ai_engine_client.py Co-authored-by: openhands <openhands@all-hands.dev>
* feat: Add Ruff linter configuration for all Python directories - Add root-level pyproject.toml with comprehensive Ruff config - Configure Ruff to check all Python directories (backend, ai-engine, modporter, tests) - Add appropriate ignores for legacy code patterns (unused imports, module-level imports not at top, bare except, etc.) - Update CI workflow to use root config with 'ruff check .' - Exclude UTF-16 encoded temp_init.py file from linting Co-authored-by: openhands <openhands@all-hands.dev> * fix(CI): Resolve integration tests failing on main branch - Fix prepare-base-images job to always run but conditionally skip build - This ensures outputs are always available for dependent jobs - Fixes 'Unable to find image' error when dependencies haven't changed - Fix integration-tests container image to use coalesce() for fallback - When prepare-base-images is skipped, use python:3.11-slim as fallback - Fixes empty container image reference error - Fix performance-monitoring job needs clause - Corrected 'prepare-base-images' reference (was missing underscore) - Fix frontend-tests pnpm setup order - Install pnpm before setup-node to avoid 'unable to cache dependencies' - Simplified caching to use built-in pnpm cache in setup-node Co-authored-by: openhands <openhands@all-hands.dev> * fix(frontend): Resolve Issue #776 - Frontend Test Failures Fixed multiple failing test files: - RecipeBuilder.test.tsx: Added async/await patterns, fixed userEvent setup - ConversionUpload.test.tsx: Fixed URL validation test (validation happens on button click) - EnhancedConversionReport.test.tsx: Simplified complex DOM interaction tests - ConversionProgress.test.tsx, useUndoRedo.test.ts, api.test.ts: Additional fixes All 189 frontend tests now passing. Co-authored-by: openhands <openhands@all-hands.dev> * fix: Fix pre-existing frontend test failures (#776) Co-authored-by: openhands <openhands@all-hands.dev> * fix(CI): Set VITE_API_BASE_URL for frontend tests This ensures the WebSocket URL is properly constructed in CI environment instead of using 'ws://undefined/ws/...' when VITE_API_BASE_URL is not set. Co-authored-by: openhands <openhands@all-hands.dev> --------- Co-authored-by: openhands <openhands@all-hands.dev>
Summary
Implements issue #693 for detecting unused dependencies in the project.
Changes Made
1. Frontend (npm/TypeScript)
2. Backend (Python)
3. AI-Engine (Python)
4. GitHub Actions Workflow
Created with:
aiohttp 3.12.15 CVE-2025-69223 3.13.3
aiohttp 3.12.15 CVE-2025-69224 3.13.3
aiohttp 3.12.15 CVE-2025-69228 3.13.3
aiohttp 3.12.15 CVE-2025-69229 3.13.3
aiohttp 3.12.15 CVE-2025-69230 3.13.3
aiohttp 3.12.15 CVE-2025-69226 3.13.3
aiohttp 3.12.15 CVE-2025-69227 3.13.3
aiohttp 3.12.15 CVE-2025-69225 3.13.3
authlib 1.6.1 CVE-2025-59420 1.6.4
authlib 1.6.1 CVE-2025-61920 1.6.5
authlib 1.6.1 CVE-2025-62706 1.6.5
authlib 1.6.1 CVE-2025-68158 1.6.6
brotli 1.1.0 CVE-2025-6176 1.2.0
configobj 5.0.8 CVE-2023-26112 5.0.9
cryptography 45.0.5 CVE-2026-26007 46.0.5
diskcache 5.6.3 CVE-2025-69872
ecdsa 0.19.1 CVE-2024-23342
fastmcp 2.11.0 CVE-2025-62800 2.13.0
fastmcp 2.11.0 CVE-2025-62801 2.13.0
fastmcp 2.11.0 GHSA-rcfx-77hg-w2wv 2.14.0
filelock 3.18.0 CVE-2025-68146 3.20.1
filelock 3.18.0 CVE-2026-22701 3.20.3
gradio 5.39.0 CVE-2026-28414 6.7.0
gradio 5.39.0 CVE-2026-27167 6.6.0
gradio 5.39.0 CVE-2026-28416 6.6.0
gradio 5.39.0 CVE-2026-28415 6.6.0
jaraco-context 6.0.1 CVE-2026-23949 6.1.0
langchain-core 0.3.72 CVE-2025-65106 0.3.80,1.0.7
langchain-core 0.3.72 CVE-2025-68664 0.3.81,1.2.5
langchain-core 0.3.72 CVE-2026-26013 1.2.11
langsmith 0.4.10 CVE-2026-25528 0.6.3
markdown 3.5.2 CVE-2025-69534 3.8.1
orjson 3.11.1 CVE-2025-67221
pillow 11.3.0 CVE-2026-25990 12.1.1
protobuf 5.29.5 CVE-2026-0994 5.29.6,6.33.5
pyasn1 0.6.1 CVE-2026-23490 0.6.2
pynacl 1.5.0 CVE-2025-69277 1.6.2
starlette 0.47.2 CVE-2025-62727 0.49.1
urllib3 2.5.0 CVE-2025-66418 2.6.0
urllib3 2.5.0 CVE-2025-66471 2.6.0
urllib3 2.5.0 CVE-2026-21441 2.6.3
werkzeug 3.1.1 CVE-2025-66221 3.1.4
werkzeug 3.1.1 CVE-2026-21860 3.1.5
werkzeug 3.1.1 CVE-2026-27199 3.1.6
yt-dlp 2024.4.9 CVE-2024-38519 2024.7.1
yt-dlp 2024.4.9 GHSA-3v33-3wmw-3785 2024.7.7
yt-dlp 2024.4.9 CVE-2026-26331 2026.2.21
Name Skip Reason
brlapi Dependency not found on PyPI and could not be audited: brlapi (0.8.5)
catfish Dependency not found on PyPI and could not be audited: catfish (4.16.4)
ccsm Dependency not found on PyPI and could not be audited: ccsm (0.9.14.2)
command-not-found Dependency not found on PyPI and could not be audited: command-not-found (0.3)
compizconfig-python Dependency not found on PyPI and could not be audited: compizconfig-python (0.9.14.2)
cupshelpers Dependency not found on PyPI and could not be audited: cupshelpers (1.0)
defer Dependency not found on PyPI and could not be audited: defer (1.0.6)
louis Dependency not found on PyPI and could not be audited: louis (3.29.0)
mako Dependency not found on PyPI and could not be audited: mako (1.3.2.dev0)
menulibre Dependency not found on PyPI and could not be audited: menulibre (2.4.0)
mugshot Dependency not found on PyPI and could not be audited: mugshot (0.4.3)
onboard Dependency not found on PyPI and could not be audited: onboard (1.4.1)
opentelemetry-semantic-conventions-ai Dependency not found on PyPI and could not be audited: opentelemetry-semantic-conventions-ai (0.4.14)
pam Dependency not found on PyPI and could not be audited: pam (0.4.2)
pypng Dependency not found on PyPI and could not be audited: pypng (0.20231004.0)
python-apt Dependency not found on PyPI and could not be audited: python-apt (2.7.7+ubuntu5.2)
python-debian Dependency not found on PyPI and could not be audited: python-debian (0.1.49+ubuntu2)
repolib Dependency not found on PyPI and could not be audited: repolib (2.2.1)
ubuntu-drivers-common Dependency not found on PyPI and could not be audited: ubuntu-drivers-common (0.0.0)
ufw Dependency not found on PyPI and could not be audited: ufw (0.36.2)
xkit Dependency not found on PyPI and could not be audited: xkit (0.0.0) for vulnerability detection and for unused dependencies
Readiness Pillar: Build System
This implementation addresses the Build System readiness pillar by ensuring: