ucon#165: true generic support for pydantic integration

examples/pydantic/__init__.py

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+# © 2026 The Radiativity Company
+# Licensed under the Apache License, Version 2.0
+# See the LICENSE file for details.
+
+"""Pydantic integration examples for ucon."""

examples/pydantic/pharma/README.md

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+# Pharmaceutical Compounding Example
+
+An advanced example demonstrating sophisticated Pydantic patterns with `Number[Dimension]` for safety-critical pharmaceutical calculations.
+
+## Overview
+
+This example shows:
+
+1. **Composite dimension validation** — `mg/kg/day` dose rates
+2. **Custom validators** — Positivity constraints, range checking
+3. **Cross-field validation** — Ensuring `min < max` for temperature ranges
+4. **Uncertainty propagation** — Drug concentration uncertainty flows through calculations
+5. **Computed properties** — Derived values like total infusion volume
+
+## Files
+
+- `config.yaml` — Drug, patient, and dosing parameters
+- `models.py` — Advanced Pydantic models with custom validation
+- `main.py` — Example usage with error demonstrations
+
+## Usage
+
+```bash
+# Install dependencies
+pip install pyyaml
+
+# Run with default config
+python main.py
+
+# Run with custom config
+python main.py /path/to/custom/config.yaml
+```
+
+## Example Output
+
+```
+=== Drug Information ===
+  Name:          Amoxicillin
+  Concentration: <250 ± 5 mg/mL>
+  Stability:     <14 day>
+  Storage temp:  <2 degC> to <8 degC>
+
+=== Calculated Values ===
+  Daily dose:    <1750 ± 35 mg>
+  Single dose:   <500 ± 10 mg>    # Clamped to max
+  Volume/dose:   <2.0 ± 0.05 mL>
+```
+
+## Key Patterns
+
+### Composite Dimension Validation
+
+```python
+@field_validator('target_dose')
+@classmethod
+def validate_dose_rate_dimension(cls, v: Number) -> Number:
+    expected = Dimension.mass / Dimension.mass / Dimension.time
+    if v.dimension != expected:
+        raise ValueError(f"expected {expected.name}, got {v.dimension.name}")
+    return v
+```
+
+### Custom Validators with Annotated
+
+```python
+def must_be_positive(n: Number) -> Number:
+    if n.quantity <= 0:
+        raise ValueError(f"must be positive, got {n.quantity}")
+    return n
+
+PositiveNumber = Annotated[PydanticNumber, AfterValidator(must_be_positive)]
+```
+
+### Cross-Field Validation
+
+```python
+class TemperatureRange(BaseModel):
+    min: PydanticNumber[Dimension.temperature]
+    max: PydanticNumber[Dimension.temperature]
+
+    @model_validator(mode='after')
+    def min_less_than_max(self) -> 'TemperatureRange':
+        min_k = self.min.to(units.kelvin).quantity
+        max_k = self.max.to(units.kelvin).quantity
+        if min_k >= max_k:
+            raise ValueError("min must be less than max")
+        return self
+```
+
+### Uncertainty Propagation
+
+```yaml
+# config.yaml
+concentration: { quantity: 250, unit: "mg/mL", uncertainty: 5 }
+```
+
+```python
+# Uncertainty flows through calculations automatically
+volume = settings.calculate_volume_per_dose()
+print(volume)  # <2.0 ± 0.05 mL>
+```
+
+### Computed Methods with Bounds Clamping
+
+```python
+def calculate_single_dose(self) -> Number:
+    daily_dose = self.calculate_daily_dose()
+    single_dose = daily_dose / self.dosing.frequency
+
+    # Clamp to configured bounds
+    clamped = max(min_mg, min(max_mg, dose_mg))
+    return mg(clamped, uncertainty=single_dose.uncertainty)
+```
+
+## Validation Examples
+
+The example demonstrates catching various errors:
+
+```python
+# Wrong dimension
+concentration: { quantity: 250, unit: "mg" }  # Missing /mL
+# → ValidationError: concentration must have dimension 'density'
+
+# Range violation
+storage_temp:
+  min: { quantity: 10, unit: "degC" }
+  max: { quantity: 5, unit: "degC" }
+# → ValidationError: min must be less than max
+
+# Negative value
+weight: { quantity: -70, unit: "kg" }
+# → ValidationError: must be positive
+```

examples/pydantic/pharma/__init__.py

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+# © 2026 The Radiativity Company
+# Licensed under the Apache License, Version 2.0
+# See the LICENSE file for details.
+
+"""Pharmaceutical compounding example demonstrating advanced Pydantic patterns."""

examples/pydantic/pharma/config.yaml

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+drug:
+  name: "Amoxicillin"
+  concentration:
+    quantity: 250
+    unit: "mg/mL"
+    uncertainty: 5
+  stability_duration:
+    quantity: 14
+    unit: "day"
+  storage_temp:
+    min:
+      quantity: 2
+      unit: "degC"
+    max:
+      quantity: 8
+      unit: "degC"
+
+patient:
+  weight:
+    quantity: 70
+    unit: "kg"
+    uncertainty: 0.5
+  age_category: "adult"
+
+dosing:
+  target_dose:
+    quantity: 25
+    unit: "mg/kg/day"
+  frequency: 3
+  max_single_dose:
+    quantity: 500
+    unit: "mg"
+  min_single_dose:
+    quantity: 100
+    unit: "mg"
+
+infusion:
+  rate:
+    quantity: 100
+    unit: "mL/h"
+  duration:
+    quantity: 0.5
+    unit: "h"

examples/pydantic/pharma/main.py

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+#!/usr/bin/env python
+# © 2026 The Radiativity Company
+# Licensed under the Apache License, Version 2.0
+# See the LICENSE file for details.
+
+"""
+Pharmaceutical compounding example.
+
+Demonstrates:
+- Complex Pydantic models with Number[Dimension] validation
+- Custom dimension validation (mg/kg/day)
+- Cross-field validation (min < max)
+- Uncertainty propagation through calculations
+- Computed properties and methods
+
+Usage:
+    python main.py
+    python main.py path/to/custom/config.yaml
+"""
+
+import sys
+from pathlib import Path
+
+import yaml
+
+from ucon import Scale, units
+
+from models import PharmacySettings
+
+# Define milliliter for convenience
+milliliter = Scale.milli * units.liter
+
+
+def load_settings(config_path: Path) -> PharmacySettings:
+    """Load and validate configuration from YAML."""
+    with open(config_path) as f:
+        data = yaml.safe_load(f)
+    return PharmacySettings(**data)
+
+
+def main(config_path: Path) -> None:
+    print(f"Loading configuration from {config_path}\n")
+    settings = load_settings(config_path)
+
+    print("=== Drug Information ===")
+    print(f"  Name:          {settings.drug.name}")
+    print(f"  Concentration: {settings.drug.concentration}")
+    print(f"  Stability:     {settings.drug.stability_duration}")
+    print(f"  Storage temp:  {settings.drug.storage_temp.min} to "
+          f"{settings.drug.storage_temp.max}")
+    print()
+
+    print("=== Patient Information ===")
+    print(f"  Weight:        {settings.patient.weight}")
+    print(f"  Age category:  {settings.patient.age_category}")
+    print()
+
+    print("=== Dosing Parameters ===")
+    print(f"  Target dose:   {settings.dosing.target_dose}")
+    print(f"  Frequency:     {settings.dosing.frequency} doses/day")
+    print(f"  Dose range:    {settings.dosing.min_single_dose} to "
+          f"{settings.dosing.max_single_dose}")
+    print()
+
+    # Calculate doses (uncertainty propagates automatically)
+    daily_dose = settings.calculate_daily_dose()
+    single_dose = settings.calculate_single_dose()
+    volume = settings.calculate_volume_per_dose()
+
+    print("=== Calculated Values ===")
+    print(f"  Daily dose:    {daily_dose}")
+    print(f"  Single dose:   {single_dose}")
+    print(f"  Volume/dose:   {volume}")
+    print(f"                 {volume.to(milliliter)}")
+    print()
+
+    # Calculate doses per vial
+    vial_volume = milliliter(100)
+    doses_per_vial = settings.calculate_doses_per_vial(vial_volume)
+    print(f"  Doses per {vial_volume} vial: {doses_per_vial}")
+    print()
+
+    # Infusion calculations (if configured)
+    if settings.infusion:
+        print("=== Infusion ===")
+        print(f"  Rate:          {settings.infusion.rate}")
+        print(f"  Duration:      {settings.infusion.duration}")
+        print(f"  Total volume:  {settings.infusion.total_volume}")
+        print()
+
+    # Demonstrate validation errors
+    print("=== Validation Examples ===")
+    demonstrate_validation_errors()
+
+
+def demonstrate_validation_errors() -> None:
+    """Show how various validation errors are caught."""
+    import yaml
+    from pydantic import ValidationError
+
+    # Wrong dimension for concentration
+    bad_config_1 = """
+drug:
+  name: "Test"
+  concentration: { quantity: 250, unit: "mg" }
+  stability_duration: { quantity: 14, unit: "day" }
+  storage_temp:
+    min: { quantity: 2, unit: "degC" }
+    max: { quantity: 8, unit: "degC" }
+patient:
+  weight: { quantity: 70, unit: "kg" }
+  age_category: "adult"
+dosing:
+  target_dose: { quantity: 25, unit: "mg/kg/day" }
+  frequency: 3
+  max_single_dose: { quantity: 500, unit: "mg" }
+  min_single_dose: { quantity: 100, unit: "mg" }
+"""
+    try:
+        PharmacySettings(**yaml.safe_load(bad_config_1))
+    except ValidationError as e:
+        print(f"  Wrong dimension: {e.errors()[0]['msg'][:60]}...")
+
+    # Temperature range violation
+    bad_config_2 = """
+drug:
+  name: "Test"
+  concentration: { quantity: 250, unit: "mg/mL" }
+  stability_duration: { quantity: 14, unit: "day" }
+  storage_temp:
+    min: { quantity: 10, unit: "degC" }
+    max: { quantity: 5, unit: "degC" }
+patient:
+  weight: { quantity: 70, unit: "kg" }
+  age_category: "adult"
+dosing:
+  target_dose: { quantity: 25, unit: "mg/kg/day" }
+  frequency: 3
+  max_single_dose: { quantity: 500, unit: "mg" }
+  min_single_dose: { quantity: 100, unit: "mg" }
+"""
+    try:
+        PharmacySettings(**yaml.safe_load(bad_config_2))
+    except ValidationError as e:
+        print(f"  Range violation: {e.errors()[0]['msg'][:60]}...")
+
+    # Negative value
+    bad_config_3 = """
+drug:
+  name: "Test"
+  concentration: { quantity: 250, unit: "mg/mL" }
+  stability_duration: { quantity: 14, unit: "day" }
+  storage_temp:
+    min: { quantity: 2, unit: "degC" }
+    max: { quantity: 8, unit: "degC" }
+patient:
+  weight: { quantity: -70, unit: "kg" }
+  age_category: "adult"
+dosing:
+  target_dose: { quantity: 25, unit: "mg/kg/day" }
+  frequency: 3
+  max_single_dose: { quantity: 500, unit: "mg" }
+  min_single_dose: { quantity: 100, unit: "mg" }
+"""
+    try:
+        PharmacySettings(**yaml.safe_load(bad_config_3))
+    except ValidationError as e:
+        print(f"  Negative value: {e.errors()[0]['msg'][:60]}...")
+
+
+if __name__ == "__main__":
+    if len(sys.argv) > 1:
+        config_file = Path(sys.argv[1])
+    else:
+        config_file = Path(__file__).parent / "config.yaml"
+
+    main(config_file)