Investigating alternative approaches for idealization

.gitignore

@@ -32,3 +32,7 @@ google-services.json
 
 # Android Profiling
 *.hprof
+
+# Python cache files
+__pycache__/
+*.py[cod]

README.md

@@ -1 +1,38 @@
-# https-github.com-TheAlgorithms-Python-blob-master-CONTRIBUTING.md-coding-style
+# Enhanced Idealization Platform
+
+This repository now contains a Python MVP for an enhanced idealization platform.
+It helps users define success, model constraints, generate multiple candidate
+futures, stress test them across scenarios, and receive ranked recommendations
+with confidence, tradeoffs, and reasoning traces.
+
+## What it does
+
+- captures goals, criteria, constraints, and context in a structured request
+- generates multiple candidate strategies from a baseline or explicit blueprints
+- adapts scoring based on user profiles and weighted success criteria
+- simulates candidate performance under future scenarios
+- explains why one recommendation outranks another
+- compares the current recommendation against previous runs
+
+## Project layout
+
+- `/enhanced_idealization/models.py` - data models and request parsing
+- `/enhanced_idealization/engine.py` - candidate generation, simulation, scoring
+- `/enhanced_idealization/reporting.py` - plain-text recommendation rendering
+- `/enhanced_idealization/__main__.py` - command-line entry point
+- `/examples/product_strategy.json` - sample input
+- `/tests/test_engine.py` - automated tests
+
+## Run the sample
+
+```bash
+cd /path/to/enhanced-idealization
+python -m enhanced_idealization examples/product_strategy.json --profile enterprise_ops
+```
+
+## Run the tests
+
+```bash
+cd /path/to/enhanced-idealization
+python -m unittest discover -s tests
+```

enhanced_idealization/__init__.py

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+"""Enhanced idealization platform package."""
+
+from .engine import EnhancedIdealizationEngine
+from .models import IdealizationRequest, IdealizationResult
+
+__all__ = ["EnhancedIdealizationEngine", "IdealizationRequest", "IdealizationResult"]

enhanced_idealization/__main__.py

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+from __future__ import annotations
+
+import argparse
+import json
+from pathlib import Path
+
+from .engine import EnhancedIdealizationEngine
+from .models import IdealizationRequest
+from .reporting import render_text_report
+
+
+def build_parser() -> argparse.ArgumentParser:
+    parser = argparse.ArgumentParser(description="Run the enhanced idealization platform.")
+    parser.add_argument("input_path", type=Path, help="Path to a JSON request file.")
+    parser.add_argument(
+        "--profile",
+        help="Optional profile name to apply to the recommendation process.",
+    )
+    return parser
+
+
+def main() -> None:
+    parser = build_parser()
+    args = parser.parse_args()
+    payload = json.loads(args.input_path.read_text(encoding="utf-8"))
+    request = IdealizationRequest.from_dict(payload)
+    result = EnhancedIdealizationEngine().recommend(request, profile_name=args.profile)
+    print(render_text_report(result))
+
+
+if __name__ == "__main__":
+    main()