graph LR
Tracer_Activator["Tracer Activator"]
Execution_Interceptor_Data_Collector["Execution Interceptor/Data Collector"]
File_Filter_Logic["File Filter Logic"]
File_Source_Provider["File Source Provider"]
Path_Filtering_Utility["Path Filtering Utility"]
Raw_Data_Buffer["Raw Data Buffer"]
Aggregated_Data_Store["Aggregated Data Store"]
Tracer_Activator -- "initiates" --> Execution_Interceptor_Data_Collector
Execution_Interceptor_Data_Collector -- "consults" --> File_Filter_Logic
Execution_Interceptor_Data_Collector -- "collects into" --> Raw_Data_Buffer
File_Filter_Logic -- "relies on" --> File_Source_Provider
File_Filter_Logic -- "uses" --> Path_Filtering_Utility
Raw_Data_Buffer -- "feeds" --> Aggregated_Data_Store
Analysis of the Execution Monitor subsystem, which is responsible for intercepting Python execution, filtering relevant files, and collecting raw line-by-line execution data for the heartrate project.
Initializes and activates the Python system-wide tracing mechanism by setting sys.settrace to the trace_func. It is the entry point for enabling execution monitoring.
Related Classes/Methods:
This is the core callback function invoked by the Python interpreter for each executed line. It decides whether to process an event based on file filtering and collects raw line-by-line execution data (e.g., line number, event type, frame information).
Related Classes/Methods:
Determines if a given file's execution should be monitored. It acts as a gatekeeper, ensuring that only relevant source files (e.g., user code, not library code) are traced.
Related Classes/Methods:
Provides a mechanism to identify and list all potential files that are part of the project and should be considered for monitoring. This could be a list of included/excluded paths.
Related Classes/Methods:
A helper function that performs specific path-based filtering checks (e.g., checking if a path contains certain substrings or matches patterns). It refines which files are included or excluded from tracing.
Related Classes/Methods:
A temporary, in-memory storage mechanism (likely a queue or list) for raw, unaggregated execution events collected by trace_func. It acts as a transient buffer before data is processed further.
Related Classes/Methods:
A data structure responsible for aggregating and storing execution statistics (e.g., hit counts per line, total execution time). It processes raw events from the Raw Data Buffer into a more structured and summarized form, ready for visualization.
Related Classes/Methods: