129 lines
4.9 KiB
Python
129 lines
4.9 KiB
Python
#!/usr/bin/env python3
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import subprocess
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import os
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import re
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# List of files from audit ledger (relative to backend/app/)
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files = [
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"workers/monitor_dashboard.py",
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"workers/monitor_dashboard2.0.py",
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"workers/ocr/robot_1_ocr_processor.py",
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"workers/py_to_database.py",
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"workers/service/service_robot_0_hunter.py",
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"workers/service/service_robot_1_scout_osm.py",
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"workers/service/service_robot_2_researcher.py",
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"workers/service/service_robot_3_enricher.py",
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"workers/service/service_robot_4_validator_google.py",
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"workers/service/service_robot_5_auditor.py",
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"workers/system/subscription_worker.py",
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"workers/system/system_robot_2_service_auditor.py",
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"workers/vehicle/R0_brand_hunter.py",
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"workers/vehicle/R1_model_scout.py",
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"workers/vehicle/R2_generation_scout.py",
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"workers/vehicle/R3_engine_scout.py",
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"workers/vehicle/R4_final_extractor.py",
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"workers/vehicle/bike/bike_R0_brand_hunter.py",
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"workers/vehicle/bike/bike_R1_model_scout.py",
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"workers/vehicle/bike/bike_R2_generation_scout.py",
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"workers/vehicle/bike/bike_R3_engine_scout.py",
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"workers/vehicle/bike/bike_R4_final_extractor.py",
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"workers/vehicle/bike/test_aprilia.py",
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"workers/vehicle/mapping_dictionary.py",
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"workers/vehicle/mapping_rules.py",
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"workers/vehicle/r5_test.py",
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"workers/vehicle/r5_ultimate_harvester.py",
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"workers/vehicle/robot_report.py",
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"workers/vehicle/ultimatespecs/vehicle_ultimate_r0_spider.py",
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"workers/vehicle/ultimatespecs/vehicle_ultimate_r1_scraper.py",
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"workers/vehicle/ultimatespecs/vehicle_ultimate_r2_enricher.py",
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"workers/vehicle/ultimatespecs/vehicle_ultimate_r3_finalizer.py",
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"workers/vehicle/vehicle_data_loader.py",
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"workers/vehicle/vehicle_robot_0_discovery_engine.py",
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"workers/vehicle/vehicle_robot_0_gb_discovery.py",
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"workers/vehicle/vehicle_robot_1_2_nhtsa_fetcher.py",
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"workers/vehicle/vehicle_robot_1_4_bike_hunter.py",
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"workers/vehicle/vehicle_robot_1_5_heavy_eu.py",
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"workers/vehicle/vehicle_robot_1_5_heavy_eu1.0.py",
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"workers/vehicle/vehicle_robot_1_catalog_hunter.py",
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"workers/vehicle/vehicle_robot_1_gb_hunter.py",
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"workers/vehicle/vehicle_robot_2_1_rdw_enricher.py",
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"workers/vehicle/vehicle_robot_2_1_ultima_scout.py",
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"workers/vehicle/vehicle_robot_2_1_ultima_scout_1.0.py",
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"workers/vehicle/vehicle_robot_2_auto_data_net.py",
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"workers/vehicle/vehicle_robot_2_researcher.py",
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"workers/vehicle/vehicle_robot_3_alchemist_pro.py",
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"workers/vehicle/vehicle_robot_4_validator.py",
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"workers/vehicle/vehicle_robot_4_vin_auditor.py"
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]
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def check_ghost(filepath):
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try:
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with open(os.path.join("backend/app", filepath), 'r') as f:
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content = f.read()
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return "'ghost'" in content or '"ghost"' in content
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except:
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return False
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def check_beautifulsoup(filepath):
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try:
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with open(os.path.join("backend/app", filepath), 'r') as f:
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content = f.read()
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return "BeautifulSoup" in content or "from bs4" in content
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except:
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return False
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def is_duplicate(filepath):
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# detect 1.0 duplicates
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if filepath.endswith("1.0.py"):
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# check if non-1.0 exists
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base = filepath[:-6] + ".py"
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if base in files:
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return True
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return False
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def is_test(filepath):
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return "test" in filepath.lower() and not ("robot" in filepath or "vehicle" in filepath)
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def is_small(filepath):
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try:
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lines = sum(1 for _ in open(os.path.join("backend/app", filepath), 'r'))
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return lines < 30
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except:
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return False
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# classify
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tags = {}
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for f in files:
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if check_ghost(f):
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tags[f] = ("[REFAKTORÁL]", "Contains hardcoded 'ghost' status; should use ServiceStatus Enum.")
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elif check_beautifulsoup(f):
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tags[f] = ("[REFAKTORÁL]", "Uses BeautifulSoup for web scraping; consider modernizing to async HTTP client and structured data extraction.")
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elif is_duplicate(f):
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tags[f] = ("[TÖRÖLHETŐ]", "Duplicate of non-1.0 version; remove to avoid confusion.")
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elif is_test(f):
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tags[f] = ("[TÖRÖLHETŐ]", "Test file; not needed in production.")
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elif is_small(f):
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tags[f] = ("[TÖRÖLHETŐ]", "Small utility likely unused.")
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else:
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tags[f] = ("[MEGTART]", "Modern code, part of active robot pipeline.")
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# output new lines
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for f in files:
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tag, reason = tags[f]
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print(f"- [ ] `{f}` - {tag} {reason}")
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# statistics
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counts = {"MEGTART":0, "REFAKTORÁL":0, "TÖRÖLHETŐ":0}
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for tag, _ in tags.values():
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if tag == "[MEGTART]":
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counts["MEGTART"] += 1
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elif tag == "[REFAKTORÁL]":
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counts["REFAKTORÁL"] += 1
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elif tag == "[TÖRÖLHETŐ]":
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counts["TÖRÖLHETŐ"] += 1
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print("\nStatistics:")
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print(f"MEGTART: {counts['MEGTART']}")
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print(f"REFAKTORÁL: {counts['REFAKTORÁL']}")
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print(f"TÖRÖLHETŐ: {counts['TÖRÖLHETŐ']}")
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print(f"Total: {sum(counts.values())}") |