MVP Version

[roboloop]

• Winner detection via cv2, math model, and program optimization
• Lot name parsing via Tesseract
• Draft voting system implementation
• Visualization mode for better development
• Shell commands for easy execution
• Some tests and CI/CD integration
• Significant manual work to collect assets and test the program

[Copilot]

Pull Request Overview

This PR implements the MVP version of the Winner Finder, adding core features such as winner detection via computer vision and math modeling, lot name parsing using Tesseract, a draft voting system, and improved developer visualization. Key changes include:

• Introduction of a new stream reader with frame processing and spin detection functionality.
• Implementation of a new CircleSectors class for vote aggregations and lot name handling.
• Addition of tests, CI/CD workflow, and updated documentation for setup and usage.

Reviewed Changes

Copilot reviewed 183 out of 183 changed files in this pull request and generated 2 comments.

Show a summary per file

File	Description
stream/reader.py	Introduces frame reading routines and spin detection with potential index risks.
README.md	Adds installation, run instructions, and tool description.
.github/workflows/ci.yml	New CI configuration for testing and formatting checks.
tests/stream/test_length.py	Adds tests for frame length detection.
tests/stream/test_sectors.py	Adds tests for sector extraction from frames.
stream/sectors.py	Defines the CircleSectors class for managing votes and lot names.
config/logger_config.py	Sets up logging with time delta filters and dynamic adapters.
stream/segment.py	Implements winner detection logic, length detection, and lot name assignments.
config/init.py and config/config.py	Defines configuration constants and imports logger functions.
stream/init.py and pyproject.toml	Module organization and code formatting settings.

Comments suppressed due to low confidence (3)

stream/segment.py:97

• [nitpick] Modifying the third element of self._init_frame.wheel without a clear rationale may lead to unintended side effects. Please add a comment or clarification to explain the purpose of this operation.

self._init_frame.wheel[2] -= 1

stream/segment.py:340

• [nitpick] The loop variable 'length' shadows the outer variable 'length' used earlier, which can be confusing. Consider renaming the loop variable to something like 'candidate_length' to improve clarity.

for length in length_candidates:

stream/segment.py:258

• [nitpick] The type annotation 'List[(int, float)]' is nonstandard; consider using 'List[Tuple[int, float]]' for consistency with typing conventions.

def _calc_mean_angle(self, length: int, angles_window: List[(int, float)]) -> Optional[float]:

[Copilot]

Accessing buffer[-3] may lead to an IndexError if the buffer has fewer than three frames. Consider adding a check for the buffer length before accessing this index.

[Copilot]

Pull Request Overview

This PR implements the MVP version of the Winner Finder tool with major new features and optimizations. Key changes include:

• New frame reading logic and spin detection in stream/reader.py.
• Addition of CI workflow, tests for sectors and length detection, and updated documentation.
• A comprehensive implementation of winner detection logic and sector voting in stream/segment.py along with supporting configuration updates.

Reviewed Changes

Copilot reviewed 183 out of 183 changed files in this pull request and generated 2 comments.

Show a summary per file

File	Description
stream/reader.py	Implements frame reading, spin detection, and skipping logic.
.github/workflows/ci.yml	Introduces a CI workflow for linting and testing.
tests/stream/test_sectors.py	Adds tests to verify the sector extraction functionality.
tests/stream/test_length.py	Provides tests for detecting frame lengths.
README.md	Updates documentation with installation, usage instructions, and feature overview.
stream/sectors.py	Implements the CircleSectors class for vote and lot name handling.
stream/init.py	Exposes key classes for the stream module.
config/logger_config.py	Establishes logger configuration with colored output and time delta filtering.
pyproject.toml	Configures Black with a customized line-length.
stream/segment.py	Implements the core segment processing and winner detection logic.
config/init.py & config/config.py	Consolidates configuration constants and logger functions.

Comments suppressed due to low confidence (2)

stream/segment.py:151

• [nitpick] The variable 'spins' is used within a nested function without being passed explicitly; consider passing it as a parameter or declaring it as nonlocal to clarify its scope.

if spins > round(sec * 270 / 360):

stream/segment.py:258

• [nitpick] For clarity and consistency with PEP 484, use 'List[tuple[int, float]]' instead of 'List[(int, float)]' in the type hint.

def _calc_mean_angle(self, length: int, angles_window: List[(int, float)]) -> Optional[float]: