HDDModelDecoder.py

We have moved to https://codeberg.org/KOLANICH-ML/HDDModelDecoder.py, grab new versions there.

Under the disguise of "better security" Micro$oft-owned GitHub has discriminated users of 1FA passwords while having commercial interest in success and wide adoption of FIDO 1FA specifications and Windows Hello implementation which it promotes as a replacement for passwords. It will result in dire consequencies and is competely inacceptable, read why.

If you don't want to participate in harming yourself, it is recommended to follow the lead and migrate somewhere away of GitHub and Micro$oft. Here is the list of alternatives and rationales to do it. If they delete the discussion, there are certain well-known places where you can get a copy of it. Read why you should also leave GitHub.

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wheels:

• using XGBoost for ML (works without XGBoost, but ML-based predictions are unavailable)
• pure python - not very implemented yet.

Decodes info hidden in HDD model names.

print(HDDModelDecoder.decodeModel("ST4000DM004")) # {'vendor': 'Seagate', 'capacity': 4000, 'segment': 'Mainstream', 'attributes': '004'}
print(HDDModelDecoder.decodeModel("ST1000VX000")) # {'vendor': 'Seagate', 'capacity': 1000, 'segment': 'Surveillance', 'attributes': '000'}
print(HDDModelDecoder.decodeModel("ST500LM030")) # {'vendor': 'Seagate', 'capacity': 500, 'segment': 'Laptop Mainstream', 'attributes': '030'}
print(HDDModelDecoder.decodeModel("ST4000DM005")) # {'vendor': 'Seagate', 'capacity': 4000, 'segment': 'Mainstream', 'attributes': '005'}
print(HDDModelDecoder.decodeModel("ST95005620AS")) # {'vendor': 'Seagate', 'form_factor': {'form_factor': 2.5, 'height': 0.748}, 'capacity': 5005.62 (WRONG!), 'interface': 'SATA'}

print(HDDModelDecoder.decodeModel("HDN724040ALE640")) # {'vendor': 'HGST', 'family': 'Deskstar', 'series': 'NAS', 'rpm': 7200, 'top_capacity': 4000, 'capacity': 4000, 'generation_code': 'A', 'height': 1, 'interface': {'interface': 'SATA', 'speed': 6}, 'feature_code': '4', 'buffer_size': 64, 'data_security_mode': 'Instant Secure Erase'}
print(HDDModelDecoder.decodeModel("HDN724030ALE640")) # {'vendor': 'HGST', 'family': 'Deskstar', 'series': 'NAS', 'rpm': 7200, 'top_capacity': 4000, 'capacity': 3000, 'generation_code': 'A', 'height': 1, 'interface': {'interface': 'SATA', 'speed': 6}, 'feature_code': '4', 'buffer_size': 64, 'data_security_mode': 'Instant Secure Erase'}
print(HDDModelDecoder.decodeModel("HTS721010A9E630")) # {'vendor': 'HGST', 'family': 'Travelstar', 'series': 'Standard', 'rpm': 7200, 'top_capacity': 1000, 'capacity': 1000, 'generation_code': 'A', 'height': 0.374, 'interface': {'interface': 'SATA', 'speed': 6}, 'feature_code': '3', 'buffer_size': 32, 'data_security_mode': 'Instant Secure Erase'}
print(HDDModelDecoder.decodeModel("HTE721010A9E630")) # {'vendor': 'HGST', 'family': 'Travelstar', 'series': 'Enhanced Availability', 'rpm': 7200, 'top_capacity': 1000, 'capacity': 1000, 'generation_code': 'A', 'height': 0.374, 'interface': {'interface': 'SATA', 'speed': 6}, 'feature_code': '3', 'buffer_size': 32, 'data_security_mode': 'Instant Secure Erase'}
print(HDDModelDecoder.decodeModel("HUS726060ALE614")) # {'vendor': 'HGST', 'family': 'Ultrastar', 'series': 'Standard', 'rpm': 7200, 'top_capacity': 6000, 'capacity': 6000, 'generation_code': 'A', 'height': 1, 'interface': {'interface': 'SATA', 'speed': 6}, 'feature_code': '1', 'data_security_mode': 'Secure Erase (overwrite only)'}
print(HDDModelDecoder.decodeModel("HDP725025GLA380")) # {'vendor': 'HGST', 'family': 'Deskstar', 'series': 'P Series', 'rpm': 7200, 'top_capacity': 5000, 'capacity': 2500, 'generation_code': 'G', 'height': 1, 'interface': {'interface': 'SATA', 'speed': 3}, 'feature_code': '8', 'buffer_size': 8, 'data_security_mode': 'Instant Secure Erase'}

Sources of information

• HGST Datasheets
• WD Manuals: Model Number Format for OEM and Distribution Channels and Legacy Model and Order Numbers
• Toshiba website
• "Understanding Hard Drive Model Numbers" forum post
• "Western Digital hard drives - deciphering the extended model #" forum post
• Samsung datasheets and Product selection guides

Dependencies

• Optionally xgboost , if you want non-HGST WD drives series.

Building

For building with ML you will also need

• pandas

• Chassis.py