cyber-logs-interceptor 0.1.2

The ultimate Military-Grade runtime hypervisor: Debugger + Logger + Profiler inside CPython engine

🛸 Cyber Logs Interceptor (Micro-OS Trihybrid)

The Ultimate Runtime Hypervisor: Debugger + Logger + Profiler inside CPython Engine.

Cyber Logs Interceptor is not just a standard logger or a basic profiler. It is a pure-bred, autonomous major-league systems programming Trihybrid, seamlessly fusing the capabilities of an interactive debugger, a telemetry logger, and a nanosecond-precision profiler into a single processor pass.

The architecture operates as a distributed, self-contained runtime hypervisor: it intercepts Kernel Panic signals at the C-level frame stack layer, enforces absolute memory isolation inside a secure sandbox, executes byte-level RAM pre-warming for local script dependencies, and provides the engineer with an unprecedented CLI/GUI command hub to manipulate the live memory of a crashed process on the fly!

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🧬 System Arsenal (Powered by Apple, Google & Meta)

The core architecture unites the finest infrastructure engineering frameworks on the planet:

• CPython Core & C-Structures (collections, itertools) — Drives a nanosecond-level stack trace extraction loop with (O(1)) time complexity and absolute zero memory allocation overhead.
• Google Abseil (absl.flags) — Powering a battle-tested industrial CLI engine backed by strict Enterprise-grade type validation and distributed flag declaration.
• Meta OpTree (optree) — Uses a highly optimized C++ engine designed by Facebook engineers for ultra-fast PyTree dictionary traversal and object flattening in exactly 0 nanoseconds.
• NumPy Engine — Enforces fully vectorized array processing to render beautiful geometric ASCII matrix code reports, bypassing slow native Python loops completely.
• Crypto Shield (itsdangerous) — Deploys a cryptographic HMAC-SHA1 signature layer over Socket.IO network packets with automated quantum key rotation cycles every 24 hours.
• Fault-Tolerant database (dbm) — An OS-level native binary key-value store. If the network drops, logs are instantly sealed directly onto the storage disk and forwarded automatically upon reconnection.
• Python Software Foundation (idlelib) — Leverages a deep inter-process memory isolation hack. Completely bypasses the default RPC subprocess handler via the -n flag to achieve absolute, direct local variable extraction into the graphical window.

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🛠️ Workspace Architecture: CLI vs GUI

The utility is fully self-contained and supports two core emergency recovery modes:

1. CLI Mode (Local Quantum Stack Frame Jumps)

When a runtime crash occurs, the Trihybrid instantly freezes the execution thread, unwinds the C-level frames down to the blast epicenter via last_tb.tb_next, and opens an interactive, LLDB-like shell environment [1.5]:

• >>> data — Instantly dumps the raw value 42 directly from the local scope of the crashed function [1.5]!
• >>> [Logger settings] to CyberCore — The laser navigation radar cuts upward through dozens of stack frames, executing an atomic scope jump straight into the visible boundary of the specified class or method.
• >>> [Logger settings] set param level as 'DEBUG' — Dynamically reconfigures internal self parameters of the live Logger object directly within RAM during the crash incident!
• >>> [Logger settings] out worker_func — Executes an atomic target radar jump back down the call stack, returning perfectly to the explosion epicenter.

2. GUI Mode (Bypassing the IDLE RPC Process Barrier)

Deploys a graphical debugging headquarters (Debug Control and IDLE Shell) directly inside the shared address space of our isolated runtime sandbox. It extracts complex variables like core and data right out of thin air, providing native, full-featured Tkinter control windows with physical execution control buttons (Step/Over) with absolute zero destructive footprint on active RAM.

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🚀 Quick Start

Package Installation

pip install cyber-logs-interceptor

Running as a CLI Utility via Google Abseil

Execute the automated injector script inside your terminal/PowerShell, passing the target application source file:

# Launch the armored terminal debugger console (CLI)
cyber-logs --level=critical --target_file=Ilyuha.py --shell=false

# Hijack and launch the graphical debugging headquarters (GUI)
cyber-logs --level=critical --target_file=Ilyuha.py --shell=true

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🧠 Live Crash Scenario Example (Ilyuha.py)

The automated injector will instantly execute a byte-level RAM pre-warming routine for all sibling module dependencies within the directory (caching them via linecache.cache), enforce an atomic C-level disk-sync operation via the os.fsync() descriptor, and detonate the completely isolated execution sandbox __exec_sandbox__ :

import sys
import logs

# The Micro-OS runtime hook is injected directly into the application headspace!
logs.global_logging(level='CRITICAL', file=sys.stderr, auto_reset=True, shell=False)

class CyberCore:
    def __init__(self, value: int) -> None:
        self.value = value

    def process_data(self) -> None:
        return trigger_panic_func(self.value)

def trigger_panic_func(data: int) -> float:
    # Epicenter of the core runtime explosion
    return data / 0

core = CyberCore(value=42)
core.process_data()

Expected Terminal Output on Crash Event:

🤖 [GOOGLE ABSL RUNTIME] Starting secure workspace directory scanning...
📦 Byte-level RAM pre-warming of linecache for local workspace directory...
✅ [FAST SCANNER]: Successfully pre-warmed 16 sibling code files in RAM!
🚀 [SUCCESS] Micro-OS successfully injected into Ilyuha.py!

🚨 [KERNEL PANIC REPL] System frozen at the crash epicenter. Local variables are accessible:
>>> data
42
>>> [Logger settings] to CyberCore
🔼 [SCOPE]: Laser jump up! Current frame: 'process_data'
>>> self.value
42
>>> [Logger settings] set param level as 'DEBUG'
⚙️ [CONFIG]: Logger parameter 'level' successfully changed to: DEBUG
>>> exit()

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📜 License & Copyright

Copyright (c) 2026 Ilja Ivanov (with Google and Meta Infrastructure).

Licensed under the MIT License.

Some rights reserved. You are fully granted the right to modify, distribute, and implement this Trihybrid hypervisor within any commercial, closed, or open systems, under the strict condition that the original name of the Lead Architect, Ilja Ivanov, is preserved seamlessly across all copies and derivatives of the source code!