Update coverage source paths in pyproject.toml

Author: networmix

README.md

@@ -11,17 +11,17 @@ NetGraph is a scenario-based network modeling and analysis framework written in
 - ✅ **Fundamental Components**: StrictMultiGraph, base pathfinding and flow algorithms
 - ✅ **Scenario-Based Modeling**: YAML-based scenarios with Domain-Specific Language (DSL) describing topology, failures, traffic, and workflow
 - ✅ **Hierarchical Blueprints**: Reusable network templates with nested structures and parameterization
-- ✅ **JupyterLab Support**: Run NetGraph in a containerized environment with JupyterLab for interactive analysis
 - ✅ **Demand Placement**: Place traffic demands on the network with various flow placement strategies (e.g., shortest path only, ECMP/UCMP, etc.)
 - ✅ **Capacity Calculation**: Calculate MaxFlow with different flow placement strategies
 - ✅ **Reproducible Analysis**: Seed-based deterministic random operations for reliable testing and debugging
-- 🚧 **Failure Simulation**: Model component and risk groups failures for availability analysis with Monte Carlo simulation
+- ✅ **Command Line Interface**: Execute scenarios from terminal with JSON output for simple automation
+- ✅ **Reporting**: Export of results to JSON, Jupyter Notebook, and HTML
+- ✅ **JupyterLab Support**: Run NetGraph in a containerized environment with JupyterLab for interactive analysis
 - 🚧 **Network Analysis**: Workflow steps and tools to analyze capacity, failure tolerance, and power/cost efficiency of network designs
-- 🚧 **Command Line Interface**: Execute scenarios from terminal with JSON output for simple automation
+- 🚧 **Failure Simulation**: Model component and risk groups failures for availability analysis with Monte Carlo simulation
 - 🚧 **Python API**: API for programmatic access to scenario components and network analysis tools
 - 🚧 **Documentation and Examples**: Guides and use cases
 - 🔜 **Components Library**: Hardware/optics modeling with cost, power consumption, and capacity specifications
-- ❓ **Visualization**: Graphical representation of scenarios and results
 
 ### Status Legend
 

pyproject.toml

@@ -67,7 +67,7 @@ ngraph = "ngraph.cli:main"
 # ---------------------------------------------------------------------
 # Pytest flags
 [tool.pytest.ini_options]
-addopts = "--cov=ngraph --cov-fail-under=85 --cov-report term-missing --benchmark-disable-gc --benchmark-min-rounds=5 --benchmark-warmup=on"
+addopts = "--cov=./ngraph --cov-fail-under=85 --cov-report term-missing --benchmark-disable-gc --benchmark-min-rounds=5 --benchmark-warmup=on"
 timeout = 30
 markers = [
     "slow: marks integration tests as slow (deselect with '-m \"not slow\"')",
@@ -77,7 +77,7 @@ markers = [
 # ---------------------------------------------------------------------
 # Coverage configuration
 [tool.coverage.run]
-source = ["./ngraph"]
+source = ["."]
 omit = [
     "*/tests/*",
     "*/test_*",