graph LR
Input_Configuration_Parser["Input & Configuration Parser"]
Filter_Rule_Manager["Filter Rule Manager"]
DFA_Core_Engine["DFA Core Engine"]
Text_Processing_Orchestrator["Text Processing Orchestrator"]
Text_Processing_Orchestrator -- "initiates processing and provides input to" --> Input_Configuration_Parser
Input_Configuration_Parser -- "defines filtering criteria for" --> Filter_Rule_Manager
Filter_Rule_Manager -- "provides compiled rules to" --> DFA_Core_Engine
Text_Processing_Orchestrator -- "feeds text for filtering to" --> DFA_Core_Engine
DFA_Core_Engine -- "returns filtered results/matches to" --> Text_Processing_Orchestrator
click Filter_Rule_Manager href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/textfilter/Filter_Rule_Manager.md" "Details"
The textfilter project is structured around a pipeline-like architecture, with a clear separation of concerns. The Text Processing Orchestrator serves as the central control point, initiating the process by leveraging the Input & Configuration Parser to ingest filtering keywords. These keywords are then handed off to the Filter Rule Manager, which constructs the efficient DFA-based rules. The core of the system, the DFA Core Engine, applies these rules to incoming text streams. Finally, the Text Processing Orchestrator receives and manages the output from the DFA Core Engine, completing the filtering cycle. This design promotes modularity, allowing for independent development and potential replacement of filtering algorithms or input methods.
Responsible for reading and interpreting external keyword lists, converting them into a format suitable for internal processing. This component defines the initial filtering criteria based on user-provided configurations or files.
Related Classes/Methods:
Filter Rule Manager [Expand]
Manages the compilation and organization of filtering rules. It takes the parsed keywords and constructs the internal data structures (e.g., the DFA state machine) that the core engine will use for efficient pattern matching.
Related Classes/Methods:
Encapsulates the primary text filtering logic, specifically implementing the Deterministic Finite Automaton (DFA) algorithm. This engine efficiently identifies and processes occurrences of defined keywords within input text streams.
Related Classes/Methods:
Oversees the entire text processing workflow. It initiates the loading of filtering rules, feeds text data to the DFA Core Engine, and handles the output of filtered results. This component acts as the main control flow for the application.
Related Classes/Methods: