Dev by tinix84 · Pull Request #6 · tinix84/pyplecs

tinix84 · 2025-08-23T23:14:34Z

No description provided.

- Introduced `simple_buck_example.py` and `simple_buck_example.md` to demonstrate PLECS file parsing and parameter studies. - Added `simple_simulation.py` and `simple_simulation.md` for a basic simulation example using PLECS. - Created `test_all.py` to validate all examples can be imported and executed correctly. - Implemented `test_simple.py` for a simple integration test of PLECS components. - Developed `working_example.py` to showcase core PyPLECS functionality without requiring a PLECS model file. - Updated `__init__.py` to include new functions and maintain backward compatibility. - Enhanced exception handling in `exceptions.py` for better clarity. - Improved docstrings across various modules for consistency and clarity. - Added a new function `generate_variant_plecs_file` to `pyplecs/__init__.py`. - Updated `pyproject.toml` to configure pydocstyle for docstring checks.

- Introduced `fastapi_demo.py` to demonstrate all API endpoints with examples. - Implemented health check, API info, parameters listing, simulation execution, and results retrieval. - Added functionality to download simulation plots and summarize test results. feat: Create minimal FastAPI test server - Added `minimal_fastapi_test.py` to verify basic FastAPI functionality. - Implemented simple endpoints for health check and testing. docs: Update code review prompt for project improvement plan - Reorganized and clarified the structure for better understanding. - Provided detailed subtasks and time estimates for documentation enhancement. test: Implement quick test script for FastAPI endpoints - Created `quick_test.py` to validate key API functionalities. - Included tests for health check, parameters retrieval, simulation execution, and plot download. test: Develop comprehensive API testing scenarios - Added `test_api_scenarios.py` to directly test key FastAPI endpoints with the simple_buck.plecs model. - Implemented multiple simulation scenarios and detailed results retrieval. test: Enhance FastAPI testing with PowerShell script - Created `test_enhanced_fastapi.ps1` for testing enhanced FastAPI features. - Included tests for custom plot titles, extended simulation time, and parameter sweeps. test: Validate FastAPI integration and dependencies - Introduced `test_fastapi.py` to check required imports and basic app functionality. - Implemented mock simulation data generation for testing. test: Quick test script for real PLECS FastAPI server - Added `test_real_plecs.py` to validate the real PLECS server functionality. - Included health checks and simulation triggering to ensure PLECS initialization.

- Removed outdated demo scripts (enhanced_fastapi_demo.py, fastapi_demo.py, minimal_fastapi_test.py, test_enhanced_fastapi.ps1, test_fastapi.py). - Introduced new unit tests for commit validation (test_commit_fast.py) to ensure API functionality without PLECS dependency. - Updated logging messages in integrate_with_fastapi.py for consistency and clarity. - Enhanced error handling and response validation in API tests.

Copilot

Pull Request Overview

This PR expands the PyPLECS repository with comprehensive documentation infrastructure and a substantial collection of examples demonstrating various simulation workflows. The primary focus is on API documentation using Sphinx and FastAPI integration with extensive test scenarios.

Implements full Sphinx documentation system with Google-style docstrings
Adds 14 executable examples covering simulation, parameter sweeps, and web integration
Creates comprehensive FastAPI server with mock and real PLECS simulation support

Reviewed Changes

Copilot reviewed 41 out of 47 changed files in this pull request and generated 7 comments.

Show a summary per file

File	Description
pyplecs/pyplecs.py	Enhanced with Google-style docstrings for all public methods and classes
pyplecs/plecs_parser.py	Improved docstrings and formatting consistency
pyplecs/exceptions.py	Streamlined docstrings following Google style
examples/*	Complete set of working examples with FastAPI integration and test scripts
docs/*	Full Sphinx documentation structure with auto-generated API docs
pyproject.toml	Added pydocstyle configuration for docstring validation

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Copilot · 2025-08-23T23:16:52Z

+test_mode = False  # Global test mode flag
+
+
+def startup_plecs(model_file='simple_buck.plecs', model_path='data'):
+    """Initialize PLECS application and server with configurable model."""
+    global plecs_app, plecs_server, plecs_initialized, initialization_error
+
+    try:
+        if test_mode:


Global mutable state can lead to unexpected behavior in multi-threaded applications. Consider using dependency injection or a configuration class instead of a global variable.

Suggested change

test_mode = False # Global test mode flag

def startup_plecs(model_file='simple_buck.plecs', model_path='data'):

"""Initialize PLECS application and server with configurable model."""

global plecs_app, plecs_server, plecs_initialized, initialization_error

try:

if test_mode:

# test_mode = False # Global test mode flag (removed, now in Config)

def startup_plecs(model_file='simple_buck.plecs', model_path='data', config: Config = None):

"""Initialize PLECS application and server with configurable model."""

global plecs_app, plecs_server, plecs_initialized, initialization_error

try:

# Use config if provided, else fallback to global config

cfg = config if config is not None else globals().get("config")

if cfg and cfg.test_mode:

Copilot · 2025-08-23T23:16:52Z

+    # Set test mode flag
+    test_mode = args.test_mode


Modifying global state in the main function can cause issues if the module is imported. Consider passing the test_mode through dependency injection or app state.

Suggested change

# Set test mode flag

test_mode = args.test_mode

# Set test mode flag in FastAPI app state

app.state.test_mode = args.test_mode

Copilot · 2025-08-23T23:16:53Z

+    import numpy as np
+    import matplotlib.pyplot as plt
+    import matplotlib
+    matplotlib.use('Agg')  # Use non-interactive backend for server deployment


[nitpick] The matplotlib backend is set to 'Agg' after importing matplotlib, but numpy is imported before checking if matplotlib is available. Consider grouping related imports together for better error handling.

Suggested change

import numpy as np

import matplotlib.pyplot as plt

import matplotlib

matplotlib.use('Agg') # Use non-interactive backend for server deployment

import matplotlib

matplotlib.use('Agg') # Use non-interactive backend for server deployment

import numpy as np

import matplotlib.pyplot as plt

Copilot · 2025-08-23T23:16:53Z

    # Create placeholder classes for missing dependencies
    PlecsServer = None
    GenericConverterPlecsMdl = None 
    PlecsApp = None
    generate_variant_plecs_mdl = None
+    generate_variant_plecs_file = None


Setting functions to None when imports fail can lead to AttributeError at runtime. Consider defining stub functions that raise ImportError with helpful messages.

Suggested change

# Create placeholder classes for missing dependencies

PlecsServer = None

GenericConverterPlecsMdl = None

PlecsApp = None

generate_variant_plecs_mdl = None

generate_variant_plecs_file = None

# Create placeholder classes/functions for missing dependencies

class PlecsServer:

def __init__(self, *args, **kwargs):

raise ImportError("PlecsServer is unavailable because required legacy dependencies could not be imported.")

class GenericConverterPlecsMdl:

def __init__(self, *args, **kwargs):

raise ImportError("GenericConverterPlecsMdl is unavailable because required legacy dependencies could not be imported.")

class PlecsApp:

def __init__(self, *args, **kwargs):

raise ImportError("PlecsApp is unavailable because required legacy dependencies could not be imported.")

def generate_variant_plecs_mdl(*args, **kwargs):

raise ImportError("generate_variant_plecs_mdl is unavailable because required legacy dependencies could not be imported.")

def generate_variant_plecs_file(*args, **kwargs):

raise ImportError("generate_variant_plecs_file is unavailable because required legacy dependencies could not be imported.")

Copilot · 2025-08-23T23:16:53Z

+                result = server.run_sim_with_datastream(
+                    test_case['params'],


The method 'run_sim_with_datastream' is called but the actual method signature in PlecsServer expects different parameters. This may cause runtime errors.

Suggested change

result = server.run_sim_with_datastream(

test_case['params'],

params=test_case['params'],

tinix84 added 4 commits August 23, 2025 19:12

feat: Add comprehensive documentation and improvement plans for PyPLECS

cfc3b3b

Copilot AI review requested due to automatic review settings August 23, 2025 23:14

tinix84 merged commit 9d3ea11 into master Aug 23, 2025
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Copilot AI reviewed Aug 23, 2025

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-    # Create placeholder classes for missing dependencies
-    PlecsServer = None
-    GenericConverterPlecsMdl = None
-    PlecsApp = None
-    generate_variant_plecs_mdl = None
-    generate_variant_plecs_file = None
+    # Create placeholder classes/functions for missing dependencies
+    class PlecsServer:
+        def __init__(self, *args, **kwargs):
+            raise ImportError("PlecsServer is unavailable because required legacy dependencies could not be imported.")
+    class GenericConverterPlecsMdl:
+        def __init__(self, *args, **kwargs):
+            raise ImportError("GenericConverterPlecsMdl is unavailable because required legacy dependencies could not be imported.")
+    class PlecsApp:
+        def __init__(self, *args, **kwargs):
+            raise ImportError("PlecsApp is unavailable because required legacy dependencies could not be imported.")
+    def generate_variant_plecs_mdl(*args, **kwargs):
+        raise ImportError("generate_variant_plecs_mdl is unavailable because required legacy dependencies could not be imported.")
+    def generate_variant_plecs_file(*args, **kwargs):
+        raise ImportError("generate_variant_plecs_file is unavailable because required legacy dependencies could not be imported.")

		result = server.run_sim_with_datastream(
		test_case['params'],

	result = server.run_sim_with_datastream(
	test_case['params'],
	params=test_case['params'],

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