Improve effects parameter naming in InvestParameters

CHANGELOG.md

@@ -101,13 +101,24 @@ This replaces `specific_share_to_other_effects_*` parameters and inverts the dir
 - The `active_timesteps` parameter of `Calculation` is deprecated and will be removed in a future version. Use the new `sel(time=...)` method on the FlowSystem instead.
 - The assignment of Bus Objects to Flow.bus is deprecated and will be removed in a future version. Use the label of the Bus instead.
 - The usage of Effects objects in Dicts to assign shares to Effects is deprecated and will be removed in a future version. Use the label of the Effect instead.
-- Effect parameters renamed:
+- **InvestParameters** parameters renamed for improved clarity around investment and retirement effects:
+    - `fix_effects` → `effects_of_investment`
+    - `specific_effects` → `effects_of_investment_per_size`
+    - `divest_effects` → `effects_of_retirement`
+    - `piecewise_effects` → `piecewise_effects_of_investment`
+- **Effect** parameters renamed:
     - `minimum_investment` → `minimum_periodic`
     - `maximum_investment` → `maximum_periodic`
     - `minimum_operation` → `minimum_temporal`
     - `maximum_operation` → `maximum_temporal`
     - `minimum_operation_per_hour` → `minimum_per_hour`
     - `maximum_operation_per_hour` → `maximum_per_hour`
+- **Component** parameters renamed:
+    - `Source.source` → `Source.outputs`
+    - `Sink.sink` → `Sink.inputs`
+    - `SourceAndSink.source` → `SourceAndSink.outputs`
+    - `SourceAndSink.sink` → `SourceAndSink.inputs`
+    - `SourceAndSink.prevent_simultaneous_sink_and_source` → `SourceAndSink.prevent_simultaneous_flow_rates`
 
 ### 🔥 Removed
 
@@ -137,6 +148,7 @@ This replaces `specific_share_to_other_effects_*` parameters and inverts the dir
 
 ### 👷 Development
 
+- **Centralized deprecation pattern**: Added `_handle_deprecated_kwarg()` helper method to `Interface` base class that provides reusable deprecation handling with consistent warnings, conflict detection, and optional value transformation. Applied across 5 classes (InvestParameters, Source, Sink, SourceAndSink, Effect) reducing deprecation boilerplate by 72%.
 - FlowSystem data management simplified - removed `time_series_collection` pattern in favor of direct timestep properties
 - Change modeling hierarchy to allow for more flexibility in future development. This leads to minimal changes in the access and creation of Submodels and their variables.
 - Added new module `.modeling` that contains Modelling primitives and utilities

docs/user-guide/mathematical-notation/features/InvestParameters.md

@@ -137,24 +137,25 @@ See [Piecewise](../features/Piecewise.md) for detailed mathematical formulation.
 
 ---
 
-### Divestment Effects
+### Retirement Effects
 
-Costs incurred if investment is NOT made:
+Effects incurred if investment is NOT made (when retiring/not replacing existing equipment):
 
-$$\label{eq:invest_divest_effects}
-E_{e,\text{divest}} = (1 - s_\text{invest}) \cdot \text{divest}_e
+$$\label{eq:invest_retirement_effects}
+E_{e,\text{retirement}} = (1 - s_\text{invest}) \cdot \text{retirement}_e
 $$
 
 With:
-- $E_{e,\text{divest}}$ being the divestment contribution to effect $e$
-- $\text{divest}_e$ being the divestment effect value
+- $E_{e,\text{retirement}}$ being the retirement contribution to effect $e$
+- $\text{retirement}_e$ being the retirement effect value
 
 **Behavior:**
-- $s_\text{invest} = 0$: divestment effects are incurred
-- $s_\text{invest} = 1$: no divestment effects
+- $s_\text{invest} = 0$: retirement effects are incurred
+- $s_\text{invest} = 1$: no retirement effects
 
 **Examples:**
 - Demolition or disposal costs
+- Decommissioning expenses
 - Contractual penalties for not investing
 - Opportunity costs or lost revenues
 
@@ -165,7 +166,7 @@ With:
 The total contribution to effect $e$ from an investment is:
 
 $$\label{eq:invest_total_effects}
-E_{e,\text{invest}} = E_{e,\text{fix}} + E_{e,\text{spec}} + E_{e,\text{pw}} + E_{e,\text{divest}}
+E_{e,\text{invest}} = E_{e,\text{fix}} + E_{e,\text{spec}} + E_{e,\text{pw}} + E_{e,\text{retirement}}
 $$
 
 Effects integrate into the overall system effects as described in [Effects, Penalty & Objective](../effects-penalty-objective.md).
@@ -228,10 +229,10 @@ $$
 - `fixed_size`: For binary investments (mutually exclusive with continuous sizing)
 - `minimum_size`, `maximum_size`: For continuous sizing
 - `optional`: Whether investment can be skipped
-- `fix_effects`: Fixed costs dictionary
-- `specific_effects`: Per-unit costs dictionary
-- `piecewise_effects`: Non-linear cost modeling
-- `divest_effects`: Costs for not investing
+- `effects_of_investment`: Fixed effects incurred when investing (replaces deprecated `fix_effects`)
+- `effects_of_investment_per_size`: Per-unit effects proportional to size (replaces deprecated `specific_effects`)
+- `piecewise_effects_of_investment`: Non-linear effect modeling (replaces deprecated `piecewise_effects`)
+- `effects_of_retirement`: Effects for not investing (replaces deprecated `divest_effects`)
 
 See the [`InvestParameters`][flixopt.interface.InvestParameters] API documentation for complete parameter list and usage examples.
 
@@ -250,8 +251,8 @@ See the [`InvestParameters`][flixopt.interface.InvestParameters] API documentati
 solar_investment = InvestParameters(
     fixed_size=100,  # 100 kW system
     optional=True,
-    fix_effects={'cost': 25000},  # Installation costs
-    specific_effects={'cost': 1200},  # €1200/kW
+    effects_of_investment={'cost': 25000},  # Installation costs
+    effects_of_investment_per_size={'cost': 1200},  # €1200/kW
 )
 ```
 
@@ -261,20 +262,20 @@ battery_investment = InvestParameters(
     minimum_size=10,  # kWh
     maximum_size=1000,
     optional=True,
-    fix_effects={'cost': 5000},  # Grid connection
-    specific_effects={'cost': 600},  # €600/kWh
+    effects_of_investment={'cost': 5000},  # Grid connection
+    effects_of_investment_per_size={'cost': 600},  # €600/kWh
 )
 ```
 
-### With Divestment Costs (Replacement)
+### With Retirement Costs (Replacement)
 ```python
 boiler_replacement = InvestParameters(
     minimum_size=50,  # kW
     maximum_size=200,
     optional=True,
-    fix_effects={'cost': 15000},
-    specific_effects={'cost': 400},
-    divest_effects={'cost': 8000},  # Demolition if not replaced
+    effects_of_investment={'cost': 15000},
+    effects_of_investment_per_size={'cost': 400},
+    effects_of_retirement={'cost': 8000},  # Demolition if not replaced
 )
 ```
 
@@ -283,7 +284,7 @@ boiler_replacement = InvestParameters(
 battery_investment = InvestParameters(
     minimum_size=10,
     maximum_size=1000,
-    piecewise_effects=PiecewiseEffects(
+    piecewise_effects_of_investment=PiecewiseEffects(
         piecewise_origin=Piecewise([
             Piece(0, 100),    # Small
             Piece(100, 500),  # Medium

examples/01_Simple/simple_example.py

@@ -64,7 +64,7 @@
         label='Storage',
         charging=fx.Flow('Q_th_load', bus='Fernwärme', size=1000),
         discharging=fx.Flow('Q_th_unload', bus='Fernwärme', size=1000),
-        capacity_in_flow_hours=fx.InvestParameters(fix_effects=20, fixed_size=30, optional=False),
+        capacity_in_flow_hours=fx.InvestParameters(effects_of_investment=20, fixed_size=30, optional=False),
         initial_charge_state=0,  # Initial storage state: empty
         relative_maximum_charge_state=1 / 100 * np.array([80, 70, 80, 80, 80, 80, 80, 80, 80]),
         relative_maximum_final_charge_state=0.8,

examples/02_Complex/complex_example.py

@@ -57,10 +57,10 @@
             label='Q_th',  # Thermal output
             bus='Fernwärme',  # Linked bus
             size=fx.InvestParameters(
-                fix_effects=1000,  # Fixed investment costs
+                effects_of_investment=1000,  # Fixed investment costs
                 fixed_size=50,  # Fixed size
                 optional=False,  # Forced investment
-                specific_effects={Costs.label: 10, PE.label: 2},  # Specific costs
+                effects_of_investment_per_size={Costs.label: 10, PE.label: 2},  # Specific costs
             ),
             load_factor_max=1.0,  # Maximum load factor (50 kW)
             load_factor_min=0.1,  # Minimum load factor (5 kW)
@@ -130,7 +130,7 @@
         charging=fx.Flow('Q_th_load', bus='Fernwärme', size=1e4),
         discharging=fx.Flow('Q_th_unload', bus='Fernwärme', size=1e4),
         capacity_in_flow_hours=fx.InvestParameters(
-            piecewise_effects=segmented_investment_effects,  # Investment effects
+            piecewise_effects_of_investment=segmented_investment_effects,  # Investment effects
             optional=False,  # Forced investment
             minimum_size=0,
             maximum_size=1000,  # Optimizing between 0 and 1000 kWh

examples/04_Scenarios/scenario_example.py

@@ -77,7 +77,7 @@
         label='Storage',
         charging=fx.Flow('Q_th_load', bus='Fernwärme', size=1000),
         discharging=fx.Flow('Q_th_unload', bus='Fernwärme', size=1000),
-        capacity_in_flow_hours=fx.InvestParameters(fix_effects=20, fixed_size=30, optional=False),
+        capacity_in_flow_hours=fx.InvestParameters(effects_of_investment=20, fixed_size=30, optional=False),
         initial_charge_state=0,  # Initial storage state: empty
         relative_maximum_charge_state=np.array([80, 70, 80, 80, 80, 80, 80, 80, 80]) * 0.01,
         relative_maximum_final_charge_state=0.8,

examples/05_Two-stage-optimization/two_stage_optimization.py

@@ -48,7 +48,9 @@
             Q_fu=fx.Flow(
                 label='Q_fu',
                 bus='Gas',
-                size=fx.InvestParameters(specific_effects={'costs': 1_000}, minimum_size=10, maximum_size=500),
+                size=fx.InvestParameters(
+                    effects_of_investment_per_size={'costs': 1_000}, minimum_size=10, maximum_size=500
+                ),
                 relative_minimum=0.2,
                 previous_flow_rate=20,
                 on_off_parameters=fx.OnOffParameters(effects_per_switch_on=300),
@@ -66,15 +68,17 @@
             Q_fu=fx.Flow(
                 'Q_fu',
                 bus='Kohle',
-                size=fx.InvestParameters(specific_effects={'costs': 3_000}, minimum_size=10, maximum_size=500),
+                size=fx.InvestParameters(
+                    effects_of_investment_per_size={'costs': 3_000}, minimum_size=10, maximum_size=500
+                ),
                 relative_minimum=0.3,
                 previous_flow_rate=100,
             ),
         ),
         fx.Storage(
             'Speicher',
             capacity_in_flow_hours=fx.InvestParameters(
-                minimum_size=10, maximum_size=1000, specific_effects={'costs': 60}
+                minimum_size=10, maximum_size=1000, effects_of_investment_per_size={'costs': 60}
             ),
             initial_charge_state='lastValueOfSim',
             eta_charge=1,

flixopt/components.py

@@ -1060,36 +1060,16 @@ def __init__(
         meta_data: dict | None = None,
         **kwargs,
     ):
-        source = kwargs.pop('source', None)
-        sink = kwargs.pop('sink', None)
-        prevent_simultaneous_sink_and_source = kwargs.pop('prevent_simultaneous_sink_and_source', None)
-        if source is not None:
-            warnings.warn(
-                'The use of the "source" argument is deprecated. Use the "outputs" argument instead.',
-                DeprecationWarning,
-                stacklevel=2,
-            )
-            if outputs is not None:
-                raise ValueError('Either source or outputs can be specified, but not both.')
-            outputs = [source]
-
-        if sink is not None:
-            warnings.warn(
-                'The use of the "sink" argument is deprecated. Use the "inputs" argument instead.',
-                DeprecationWarning,
-                stacklevel=2,
-            )
-            if inputs is not None:
-                raise ValueError('Either sink or inputs can be specified, but not both.')
-            inputs = [sink]
-
-        if prevent_simultaneous_sink_and_source is not None:
-            warnings.warn(
-                'The use of the "prevent_simultaneous_sink_and_source" argument is deprecated. Use the "prevent_simultaneous_flow_rates" argument instead.',
-                DeprecationWarning,
-                stacklevel=2,
-            )
-            prevent_simultaneous_flow_rates = prevent_simultaneous_sink_and_source
+        # Handle deprecated parameters using centralized helper
+        outputs = self._handle_deprecated_kwarg(kwargs, 'source', 'outputs', outputs, transform=lambda x: [x])
+        inputs = self._handle_deprecated_kwarg(kwargs, 'sink', 'inputs', inputs, transform=lambda x: [x])
+        prevent_simultaneous_flow_rates = self._handle_deprecated_kwarg(
+            kwargs,
+            'prevent_simultaneous_sink_and_source',
+            'prevent_simultaneous_flow_rates',
+            prevent_simultaneous_flow_rates,
+            check_conflict=False,
+        )
 
         # Validate any remaining unexpected kwargs
         self._validate_kwargs(kwargs)
@@ -1215,16 +1195,8 @@ def __init__(
         prevent_simultaneous_flow_rates: bool = False,
         **kwargs,
     ):
-        source = kwargs.pop('source', None)
-        if source is not None:
-            warnings.warn(
-                'The use of the "source" argument is deprecated. Use the "outputs" argument instead.',
-                DeprecationWarning,
-                stacklevel=2,
-            )
-            if outputs is not None:
-                raise ValueError('Either source or outputs can be specified, but not both.')
-            outputs = [source]
+        # Handle deprecated parameter using centralized helper
+        outputs = self._handle_deprecated_kwarg(kwargs, 'source', 'outputs', outputs, transform=lambda x: [x])
 
         # Validate any remaining unexpected kwargs
         self._validate_kwargs(kwargs)
@@ -1346,16 +1318,8 @@ def __init__(
         Note:
             The deprecated `sink` kwarg is accepted for compatibility but will be removed in future releases.
         """
-        sink = kwargs.pop('sink', None)
-        if sink is not None:
-            warnings.warn(
-                'The use of the "sink" argument is deprecated. Use the "inputs" argument instead.',
-                DeprecationWarning,
-                stacklevel=2,
-            )
-            if inputs is not None:
-                raise ValueError('Either sink or inputs can be specified, but not both.')
-            inputs = [sink]
+        # Handle deprecated parameter using centralized helper
+        inputs = self._handle_deprecated_kwarg(kwargs, 'sink', 'inputs', inputs, transform=lambda x: [x])
 
         # Validate any remaining unexpected kwargs
         self._validate_kwargs(kwargs)

flixopt/effects.py

@@ -187,84 +187,21 @@ def __init__(
         self.share_from_temporal: TemporalEffectsUser = share_from_temporal if share_from_temporal is not None else {}
         self.share_from_periodic: PeriodicEffectsUser = share_from_periodic if share_from_periodic is not None else {}
 
-        # Handle backwards compatibility for deprecated parameters
-        # Extract deprecated parameters from kwargs
-        minimum_operation = kwargs.pop('minimum_operation', None)
-        maximum_operation = kwargs.pop('maximum_operation', None)
-        minimum_invest = kwargs.pop('minimum_invest', None)
-        maximum_invest = kwargs.pop('maximum_invest', None)
-        minimum_operation_per_hour = kwargs.pop('minimum_operation_per_hour', None)
-        maximum_operation_per_hour = kwargs.pop('maximum_operation_per_hour', None)
-
-        # Handle minimum_temporal
-        if minimum_operation is not None:
-            warnings.warn(
-                "Parameter 'minimum_operation' is deprecated. Use 'minimum_temporal' instead.",
-                DeprecationWarning,
-                stacklevel=2,
-            )
-            if minimum_temporal is not None:
-                raise ValueError('Either minimum_operation or minimum_temporal can be specified, but not both.')
-            minimum_temporal = minimum_operation
-
-        # Handle maximum_temporal
-        if maximum_operation is not None:
-            warnings.warn(
-                "Parameter 'maximum_operation' is deprecated. Use 'maximum_temporal' instead.",
-                DeprecationWarning,
-                stacklevel=2,
-            )
-            if maximum_temporal is not None:
-                raise ValueError('Either maximum_operation or maximum_temporal can be specified, but not both.')
-            maximum_temporal = maximum_operation
-
-        # Handle minimum_periodic
-        if minimum_invest is not None:
-            warnings.warn(
-                "Parameter 'minimum_invest' is deprecated. Use 'minimum_periodic' instead.",
-                DeprecationWarning,
-                stacklevel=2,
-            )
-            if minimum_periodic is not None:
-                raise ValueError('Either minimum_invest or minimum_periodic can be specified, but not both.')
-            minimum_periodic = minimum_invest
-
-        # Handle maximum_periodic
-        if maximum_invest is not None:
-            warnings.warn(
-                "Parameter 'maximum_invest' is deprecated. Use 'maximum_periodic' instead.",
-                DeprecationWarning,
-                stacklevel=2,
-            )
-            if maximum_periodic is not None:
-                raise ValueError('Either maximum_invest or maximum_periodic can be specified, but not both.')
-            maximum_periodic = maximum_invest
-
-        # Handle minimum_per_hour
-        if minimum_operation_per_hour is not None:
-            warnings.warn(
-                "Parameter 'minimum_operation_per_hour' is deprecated. Use 'minimum_per_hour' instead.",
-                DeprecationWarning,
-                stacklevel=2,
-            )
-            if minimum_per_hour is not None:
-                raise ValueError(
-                    'Either minimum_operation_per_hour or minimum_per_hour can be specified, but not both.'
-                )
-            minimum_per_hour = minimum_operation_per_hour
-
-        # Handle maximum_per_hour
-        if maximum_operation_per_hour is not None:
-            warnings.warn(
-                "Parameter 'maximum_operation_per_hour' is deprecated. Use 'maximum_per_hour' instead.",
-                DeprecationWarning,
-                stacklevel=2,
-            )
-            if maximum_per_hour is not None:
-                raise ValueError(
-                    'Either maximum_operation_per_hour or maximum_per_hour can be specified, but not both.'
-                )
-            maximum_per_hour = maximum_operation_per_hour
+        # Handle backwards compatibility for deprecated parameters using centralized helper
+        minimum_temporal = self._handle_deprecated_kwarg(
+            kwargs, 'minimum_operation', 'minimum_temporal', minimum_temporal
+        )
+        maximum_temporal = self._handle_deprecated_kwarg(
+            kwargs, 'maximum_operation', 'maximum_temporal', maximum_temporal
+        )
+        minimum_periodic = self._handle_deprecated_kwarg(kwargs, 'minimum_invest', 'minimum_periodic', minimum_periodic)
+        maximum_periodic = self._handle_deprecated_kwarg(kwargs, 'maximum_invest', 'maximum_periodic', maximum_periodic)
+        minimum_per_hour = self._handle_deprecated_kwarg(
+            kwargs, 'minimum_operation_per_hour', 'minimum_per_hour', minimum_per_hour
+        )
+        maximum_per_hour = self._handle_deprecated_kwarg(
+            kwargs, 'maximum_operation_per_hour', 'maximum_per_hour', maximum_per_hour
+        )
 
         # Validate any remaining unexpected kwargs
         self._validate_kwargs(kwargs)