init: clean release of the organism architecture core

f1ba810 6 days ago

2.48 kB

# C:\Users\leonk\Documents\AI_Projects\ai_workspace\core\context_engine.py
# Streamlined Organism Local Context & Semantic Tracker Baseline [LK]

import os
import json
from datetime import datetime, timezone

class LocalContextEngine:
    def __init__(self, workspace_root=r"C:\Users\leonk\Documents\AI_Projects\ai_workspace\\"):
        self.workspace_root = workspace_root
        self.registry_log = r"C:\Users\leonk\Documents\AI_Projects\ai_workspace\core\operations_wal.jsonl"

    def scan_local_assets(self):
        """Scans local project names and lengths safely to update the internal tracking context."""
        discovered_files = []
        print("[INFO] Initializing passive local file context inventory check...")
        
        try:
            # Traverses directories safely without touching legacy files or writing backup cache
            for root, dirs, files in os.walk(self.workspace_root):
                # Ignore system hidden or temporary build cache directories
                if "browser_backup" in root or "__pycache__" in root:
                    continue
                    
                for file in files:
                    full_path = os.path.join(root, file)
                    file_extension = os.path.splitext(file)[1]
                    
                    # Read basic file attributes using standard system APIs (Physics/Data tracking)
                    try:
                        file_size = os.path.getsize(full_path)
                        discovered_files.append({
                            "name": file,
                            "extension": file_extension,
                            "size_bytes": file_size,
                            "path": full_path
                        })
                    except OSError:
                        continue # Safely skip files locked by other OS system processes
                        
            print(f"[SUCCESS] Scanned {len(discovered_files)} local assets across your project workspace.")
            return discovered_files
            
        except Exception as e:
            print(f"[ERROR] Scan halted: {str(e)}")
            return []

if __name__ == "__main__":
    print("=" * 60)
    print("TESTING LOCAL CONTEXT INTELLIGENCE LAYER [LK]")
    engine = LocalContextEngine()
    assets = engine.scan_local_assets()
    if assets:
        print(f"Sample asset discovered: '{assets[0]['name']}' ({assets[0]['size_bytes']} bytes)")
    print("=" * 60)

	# C:\Users\leonk\Documents\AI_Projects\ai_workspace\core\context_engine.py
	# Streamlined Organism Local Context & Semantic Tracker Baseline [LK]

	import os
	import json
	from datetime import datetime, timezone

	class LocalContextEngine:
	def __init__(self, workspace_root=r"C:\Users\leonk\Documents\AI_Projects\ai_workspace\\"):
	self.workspace_root = workspace_root
	self.registry_log = r"C:\Users\leonk\Documents\AI_Projects\ai_workspace\core\operations_wal.jsonl"

	def scan_local_assets(self):
	"""Scans local project names and lengths safely to update the internal tracking context."""
	discovered_files = []
	print("[INFO] Initializing passive local file context inventory check...")

	try:
	# Traverses directories safely without touching legacy files or writing backup cache
	for root, dirs, files in os.walk(self.workspace_root):
	# Ignore system hidden or temporary build cache directories
	if "browser_backup" in root or "__pycache__" in root:
	continue

	for file in files:
	full_path = os.path.join(root, file)
	file_extension = os.path.splitext(file)[1]

	# Read basic file attributes using standard system APIs (Physics/Data tracking)
	try:
	file_size = os.path.getsize(full_path)
	discovered_files.append({
	"name": file,
	"extension": file_extension,
	"size_bytes": file_size,
	"path": full_path
	})
	except OSError:
	continue # Safely skip files locked by other OS system processes

	print(f"[SUCCESS] Scanned {len(discovered_files)} local assets across your project workspace.")
	return discovered_files

	except Exception as e:
	print(f"[ERROR] Scan halted: {str(e)}")
	return []

	if __name__ == "__main__":
	print("=" * 60)
	print("TESTING LOCAL CONTEXT INTELLIGENCE LAYER [LK]")
	engine = LocalContextEngine()
	assets = engine.scan_local_assets()
	if assets:
	print(f"Sample asset discovered: '{assets[0]['name']}' ({assets[0]['size_bytes']} bytes)")
	print("=" * 60)