LeakCheckWorker.hpp

1. Overview

The LeakCheckWorker.hpp header defines the LeakCheckWorker class, responsible for executing background identity breach verification tasks against external leak detection services. This component encapsulates the workflow required to analyze a target email address and report progress and results through a configurable logging interface.

Functionally, LeakCheckWorker provides:

  • Execution of email-based breach detection workflows
  • Integration with external leak monitoring APIs
  • Structured logging through user-defined callbacks
  • Isolated worker logic for asynchronous or threaded execution

2. Dependencies and Includes

#include <functional>
#include <string>
  • <functional> – support for callable objects used in logging callbacks
  • <string> – storage and handling of email addresses and log messages

3. Class Declaration and Scope

class LeakCheckWorker

The LeakCheckWorker class encapsulates a single leak-check execution context. Each instance is bound to a specific email address and logging function.

4. Public Interface

4.1 Logging Callback Type

using LogFn = std::function<void(const std::string&)>;

Defines the signature of the logging callback used to report status messages, progress updates, and result summaries.

4.2 Constructor

LeakCheckWorker(const std::string& email,
                LogFn logger);

Initializes a new worker instance bound to the specified email address and logging callback.

4.3 Execution Method

void run();

Executes the leak-check workflow. This method typically performs network requests, result processing, and logging in a controlled sequence.

5. Internal State

std::string email;
LogFn log;
  • email – target email address to be checked for exposure
  • log – callback function used to emit diagnostic and result messages

6. Execution Model

LeakCheckWorker is designed to operate in synchronous or asynchronous execution contexts. It may be invoked directly on the main thread or dispatched to a background worker thread, depending on application architecture.

7. Typical Usage Patterns

  • Background identity breach scans initiated by user actions
  • Scheduled monitoring tasks for registered accounts
  • Integration with UI components for real-time progress reporting
  • Batch processing of multiple email addresses

8. Security and Reliability Considerations

  • Data sensitivity: email addresses and breach results must be handled in accordance with privacy and data protection policies
  • Network resilience: implementations should handle timeouts, retries, and API rate limits gracefully
  • Thread safety: logging callbacks must be safe for invocation from background threads when used asynchronously
  • Error reporting: failures in API communication or parsing should be clearly communicated through the logging interface
  • Resource management: ensure proper cleanup of network and memory resources after execution
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