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def is_positive(value):
    """A custom validator that checks if a value is positive."""
    if value <= 0:
        raise ValueError(f"Value must be positive, but got {value}")

def is_positive(value):
    """A custom validator that checks if a value is positive."""
    if value <= 0:
        raise ValueError(f"Value must be positive, but got {value}")





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def is_positive(value):
    """A custom validator that checks if a value is positive."""
    if value <= 0:
        raise ValueError(f"Value must be positive, but got {value}")

def is_positive(value):
    """A custom validator that checks if a value is positive."""
    if value <= 0:
        raise ValueError(f"Value must be positive, but got {value}")





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from pytestlab.bench import Bench

# Let's imagine we have a power supply where we want to enforce that the voltage is always positive.
# We can do this by applying our custom validator to the 'voltage' attribute.

# This example will use a simulated backend for demonstration purposes.
bench = Bench.from_yaml("""
power_supply:
  kind: simulated
  type: PowerSupply
  voltage:
    validators: [__main__.is_positive]
""")

psu = bench.power_supply

# This will work fine
psu.voltage = 5.0
print(f"Voltage set to: {psu.voltage}")

from pytestlab.bench import Bench

# Let's imagine we have a power supply where we want to enforce that the voltage is always positive.
# We can do this by applying our custom validator to the 'voltage' attribute.

# This example will use a simulated backend for demonstration purposes.
bench = Bench.from_yaml("""
power_supply:
  kind: simulated
  type: PowerSupply
  voltage:
    validators: [__main__.is_positive]
""")

psu = bench.power_supply

# This will work fine
psu.voltage = 5.0
print(f"Voltage set to: {psu.voltage}")





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from pytestlab.bench import Bench

# Let's imagine we have a power supply where we want to enforce that the voltage is always positive.
# We can do this by applying our custom validator to the 'voltage' attribute.

# This example will use a simulated backend for demonstration purposes.
bench = Bench.from_yaml("""
power_supply:
  kind: simulated
  type: PowerSupply
  voltage:
    validators: [__main__.is_positive]
""")

psu = bench.power_supply

# This will work fine
psu.voltage = 5.0
print(f"Voltage set to: {psu.voltage}")

from pytestlab.bench import Bench

# Let's imagine we have a power supply where we want to enforce that the voltage is always positive.
# We can do this by applying our custom validator to the 'voltage' attribute.

# This example will use a simulated backend for demonstration purposes.
bench = Bench.from_yaml("""
power_supply:
  kind: simulated
  type: PowerSupply
  voltage:
    validators: [__main__.is_positive]
""")

psu = bench.power_supply

# This will work fine
psu.voltage = 5.0
print(f"Voltage set to: {psu.voltage}")





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try:
    # This will raise a ValueError because -5.0 is not positive
    psu.voltage = -5.0
except ValueError as e:
    print(f"Caught an expected validation error: {e}")

try:
    # This will raise a ValueError because -5.0 is not positive
    psu.voltage = -5.0
except ValueError as e:
    print(f"Caught an expected validation error: {e}")





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try:
    # This will raise a ValueError because -5.0 is not positive
    psu.voltage = -5.0
except ValueError as e:
    print(f"Caught an expected validation error: {e}")

try:
    # This will raise a ValueError because -5.0 is not positive
    psu.voltage = -5.0
except ValueError as e:
    print(f"Caught an expected validation error: {e}")

Creating and Using Custom Validation Rules in PyTestLab

Creating and Using Custom Validation Rules in PyTestLab¶

1. Defining a Custom Validation Function¶

2. Applying the Validation Rule¶

3. Handling Validation Failures¶