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║                  🚀 AIRBORNEHRS - PYPI DEPLOYMENT GUIDE                      ║
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📦 PACKAGE STATUS: READY FOR DEPLOYMENT ✅

Location:  c:\Users\surya\In Use\Personal\UltOrg\Airborne.HRS\MirrorMind
Built:     airbornehrs-0.1.0-py3-none-any.whl (18 KB)
           airbornehrs-0.1.0.tar.gz (83 KB)
Validated: ✅ PASSED


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                              DEPLOYMENT STEPS
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STEP 1: Create PyPI Account (if needed)
   ├─ Go to: https://pypi.org/account/register/
   ├─ Verify email
   └─ Create API token: https://pypi.org/manage/account/tokens/

STEP 2: Store Credentials
   Option A (Easiest - PowerShell):
   ├─ $env:TWINE_USERNAME = "__token__"
   └─ $env:TWINE_PASSWORD = "pypi-AgEIcHl..."

   Option B (Persistent - pip.ini):
   ├─ File: %APPDATA%\pip\pip.ini
   └─ Use script: .\setup_pypi.ps1 -Token "pypi-..."

STEP 3: Validate Package
   └─ python -m twine check dist/*
      ✅ Already passed!

STEP 4: Test Upload (RECOMMENDED)
   1. Create Test PyPI account: https://test.pypi.org/account/register/
   2. Create test API token
   3. Upload:
      └─ python -m twine upload --repository testpypi dist/*
   4. Test installation:
      └─ pip install -i https://test.pypi.org/simple/ airbornehrs

STEP 5: Production Upload
   └─ python -m twine upload dist/*
   ✅ Package live at: https://pypi.org/project/airbornehrs/

STEP 6: Verify Installation
   1. Create fresh environment:
      └─ python -m venv test_env
   2. Install and test:
      ├─ .\test_env\Scripts\Activate.ps1
      ├─ pip install airbornehrs
      └─ python -c "from airbornehrs import AdaptiveFramework; print('✅')"


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                              QUICK COMMANDS
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Set credentials:
   .\setup_pypi.ps1 -Token "pypi-YOUR-TOKEN-HERE"

Check package quality:
   python -m twine check dist/*

Test upload:
   python -m twine upload --repository testpypi dist/*

Production upload:
   python -m twine upload dist/*

Install from PyPI:
   pip install airbornehrs

Install specific version:
   pip install airbornehrs==0.1.0


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                              HELPER SCRIPTS
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📄 PYPI_QUICK_START.md
   └─ Fastest path to publication (5 minutes)

📄 PYPI_PUBLISH.md
   └─ Detailed guide with all options

🐍 pypi_upload.py
   └─ Python script: python pypi_upload.py [--test] [--check]

🐍 pypi_interactive_guide.py
   └─ Interactive wizard: python pypi_interactive_guide.py

🔧 setup_pypi.ps1
   └─ PowerShell setup: .\setup_pypi.ps1 -Token "..."


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                         WHAT YOU GET
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Once published, users can:

   pip install airbornehrs

And use:

   from airbornehrs import (
       AdaptiveFramework,      # Core learner with introspection
       MetaController,         # Advanced meta-learning
       ProductionAdapter,      # Easy inference + online learning
   )

Full documentation:
   ├─ README.md              - Production overview
   ├─ API.md                 - Complete API reference
   └─ examples/              - Usage examples


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                       RECOMMENDED WORKFLOW
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1. Get PyPI token from https://pypi.org/manage/account/tokens/

2. Set up credentials:
   .\setup_pypi.ps1 -Token "pypi-YOUR-TOKEN"

3. Test on Test PyPI first:
   python -m twine upload --repository testpypi dist/*

4. Once verified, upload to production:
   python -m twine upload dist/*

5. Verify live package:
   pip install airbornehrs
   python -c "from airbornehrs import AdaptiveFramework; print('✅')"

Done! 🎉


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                            TROUBLESHOOTING
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"Invalid token"
   → Make sure token format is: pypi-AgE...
   → Check username is: __token__ (double underscore)

"File already exists"
   → Each version can only upload once
   → Increment version in pyproject.toml
   → Run: python -m build
   → Then upload new version

"Package not visible on PyPI"
   → PyPI caches may take 5-15 minutes
   → Check: https://pypi.org/project/airbornehrs/

"Credentials not recognized"
   → Verify pip.ini exists and is readable
   → Or set env vars: $env:TWINE_USERNAME, $env:TWINE_PASSWORD


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📚 Need Help?
   ├─ PyPI Docs: https://packaging.python.org/
   ├─ Twine Docs: https://twine.readthedocs.io/
   ├─ GitHub: https://github.com/Ultron09/Mirror_mind
   └─ See: PYPI_PUBLISH.md

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