graph LR
Profile_Data_Ingestor["Profile Data Ingestor"]
Call_Graph_Builder["Call Graph Builder"]
Profile_Data_Ingestor -- "orchestrates and hands off raw data to" --> Call_Graph_Builder
Call_Graph_Builder -- "exhibits self-referential processing" --> Call_Graph_Builder
The Runtime Profile Processor subsystem is dedicated to transforming raw runtime performance data into a structured, standardized format suitable for visualization. It acts as the backend data pipeline for performance analysis within the project.
This component serves as the entry point for the Runtime Profile Processor. Its primary responsibility is to handle the initial reading and parsing of raw performance profile dumps, such as those generated by cProfile or PYTHONPROFILEIMPORTTIME. It manages the I/O operations to retrieve the profile data and performs the initial, high-level parsing to prepare the raw data for detailed structuring. It acts as an orchestrator, delegating the complex data transformation to the Call Graph Builder.
Related Classes/Methods:
This is the core data processing component within the Runtime Profile Processor. It takes the raw or partially parsed profile data and recursively transforms it into a rich, standardized, and hierarchical call graph or tree structure. Its responsibilities include parsing individual call stacks, organizing function calls, and calculating essential performance metrics (e.g., self-time, total-time, number of calls) for each node in the call graph. This component is crucial for preparing the data in a format directly consumable by the "Data Visualization Tool" aspect of the project.
Related Classes/Methods: