Feature/v3/feature/no warnings in tests

CHANGELOG.md

@@ -124,6 +124,12 @@ This replaces `specific_share_to_other_effects_*` parameters and inverts the dir
    * `fit_to_model_coords()` method for data alignment
    * `fit_effects_to_model_coords()` method for effect data processing
    * `connect_and_transform()` method replacing several operations
+* **Testing improvements**: Eliminated warnings during test execution
+  * Updated deprecated code patterns in tests and examples (e.g., `sink`/`source` → `inputs`/`outputs`, `'H'` → `'h'` frequency)
+  * Refactored plotting logic to handle test environments explicitly with non-interactive backends
+  * Added comprehensive warning filters in `__init__.py` and `pyproject.toml` to suppress third-party library warnings
+  * Improved test fixtures with proper figure cleanup to prevent memory leaks
+  * Enhanced backend detection and handling in `plotting.py` for both Matplotlib and Plotly
 
 
 Until here -->

examples/00_Minmal/minimal_example.py

@@ -37,13 +37,15 @@
     # Heat load component with a fixed thermal demand profile
     heat_load = fx.Sink(
         'Heat Demand',
-        sink=fx.Flow(label='Thermal Load', bus='District Heating', size=1, fixed_relative_profile=thermal_load_profile),
+        inputs=[
+            fx.Flow(label='Thermal Load', bus='District Heating', size=1, fixed_relative_profile=thermal_load_profile)
+        ],
     )
 
     # Gas source component with cost-effect per flow hour
     gas_source = fx.Source(
         'Natural Gas Tariff',
-        source=fx.Flow(label='Gas Flow', bus='Natural Gas', size=1000, effects_per_flow_hour=0.04),  # 0.04 €/kWh
+        outputs=[fx.Flow(label='Gas Flow', bus='Natural Gas', size=1000, effects_per_flow_hour=0.04)],  # 0.04 €/kWh
     )
 
     # --- Build the Flow System ---

examples/01_Simple/simple_example.py

@@ -37,7 +37,7 @@
         label='CO2',
         unit='kg',
         description='CO2_e-Emissionen',
-        maximum_operation_per_hour=1000,  # Max CO2 emissions per hour
+        maximum_per_hour=1000,  # Max CO2 emissions per hour
     )
 
     # --- Define Flow System Components ---
@@ -77,18 +77,20 @@
     # Heat Demand Sink: Represents a fixed heat demand profile
     heat_sink = fx.Sink(
         label='Heat Demand',
-        sink=fx.Flow(label='Q_th_Last', bus='Fernwärme', size=1, fixed_relative_profile=heat_demand_per_h),
+        inputs=[fx.Flow(label='Q_th_Last', bus='Fernwärme', size=1, fixed_relative_profile=heat_demand_per_h)],
     )
 
     # Gas Source: Gas tariff source with associated costs and CO2 emissions
     gas_source = fx.Source(
         label='Gastarif',
-        source=fx.Flow(label='Q_Gas', bus='Gas', size=1000, effects_per_flow_hour={costs.label: 0.04, CO2.label: 0.3}),
+        outputs=[
+            fx.Flow(label='Q_Gas', bus='Gas', size=1000, effects_per_flow_hour={costs.label: 0.04, CO2.label: 0.3})
+        ],
     )
 
     # Power Sink: Represents the export of electricity to the grid
     power_sink = fx.Sink(
-        label='Einspeisung', sink=fx.Flow(label='P_el', bus='Strom', effects_per_flow_hour=-1 * power_prices)
+        label='Einspeisung', inputs=[fx.Flow(label='P_el', bus='Strom', effects_per_flow_hour=-1 * power_prices)]
     )
 
     # --- Build the Flow System ---

examples/02_Complex/complex_example.py

@@ -147,33 +147,39 @@
     # 5.a) Heat demand profile
     Waermelast = fx.Sink(
         'Wärmelast',
-        sink=fx.Flow(
-            'Q_th_Last',  # Heat sink
-            bus='Fernwärme',  # Linked bus
-            size=1,
-            fixed_relative_profile=heat_demand,  # Fixed demand profile
-        ),
+        inputs=[
+            fx.Flow(
+                'Q_th_Last',  # Heat sink
+                bus='Fernwärme',  # Linked bus
+                size=1,
+                fixed_relative_profile=heat_demand,  # Fixed demand profile
+            )
+        ],
     )
 
     # 5.b) Gas tariff
     Gasbezug = fx.Source(
         'Gastarif',
-        source=fx.Flow(
-            'Q_Gas',
-            bus='Gas',  # Gas source
-            size=1000,  # Nominal size
-            effects_per_flow_hour={Costs.label: 0.04, CO2.label: 0.3},
-        ),
+        outputs=[
+            fx.Flow(
+                'Q_Gas',
+                bus='Gas',  # Gas source
+                size=1000,  # Nominal size
+                effects_per_flow_hour={Costs.label: 0.04, CO2.label: 0.3},
+            )
+        ],
     )
 
     # 5.c) Feed-in of electricity
     Stromverkauf = fx.Sink(
         'Einspeisung',
-        sink=fx.Flow(
-            'P_el',
-            bus='Strom',  # Feed-in tariff for electricity
-            effects_per_flow_hour=-1 * electricity_price,  # Negative price for feed-in
-        ),
+        inputs=[
+            fx.Flow(
+                'P_el',
+                bus='Strom',  # Feed-in tariff for electricity
+                effects_per_flow_hour=-1 * electricity_price,  # Negative price for feed-in
+            )
+        ],
     )
 
     # --- Build FlowSystem ---

examples/03_Calculation_types/example_calculation_types.py

@@ -108,39 +108,43 @@
     # 4. Sinks and Sources
     # Heat Load Profile
     a_waermelast = fx.Sink(
-        'Wärmelast', sink=fx.Flow('Q_th_Last', bus='Fernwärme', size=1, fixed_relative_profile=TS_heat_demand)
+        'Wärmelast', inputs=[fx.Flow('Q_th_Last', bus='Fernwärme', size=1, fixed_relative_profile=TS_heat_demand)]
     )
 
     # Electricity Feed-in
     a_strom_last = fx.Sink(
-        'Stromlast', sink=fx.Flow('P_el_Last', bus='Strom', size=1, fixed_relative_profile=TS_electricity_demand)
+        'Stromlast', inputs=[fx.Flow('P_el_Last', bus='Strom', size=1, fixed_relative_profile=TS_electricity_demand)]
     )
 
     # Gas Tariff
     a_gas_tarif = fx.Source(
         'Gastarif',
-        source=fx.Flow('Q_Gas', bus='Gas', size=1000, effects_per_flow_hour={costs.label: gas_price, CO2.label: 0.3}),
+        outputs=[
+            fx.Flow('Q_Gas', bus='Gas', size=1000, effects_per_flow_hour={costs.label: gas_price, CO2.label: 0.3})
+        ],
     )
 
     # Coal Tariff
     a_kohle_tarif = fx.Source(
         'Kohletarif',
-        source=fx.Flow('Q_Kohle', bus='Kohle', size=1000, effects_per_flow_hour={costs.label: 4.6, CO2.label: 0.3}),
+        outputs=[fx.Flow('Q_Kohle', bus='Kohle', size=1000, effects_per_flow_hour={costs.label: 4.6, CO2.label: 0.3})],
     )
 
     # Electricity Tariff and Feed-in
     a_strom_einspeisung = fx.Sink(
-        'Einspeisung', sink=fx.Flow('P_el', bus='Strom', size=1000, effects_per_flow_hour=TS_electricity_price_sell)
+        'Einspeisung', inputs=[fx.Flow('P_el', bus='Strom', size=1000, effects_per_flow_hour=TS_electricity_price_sell)]
     )
 
     a_strom_tarif = fx.Source(
         'Stromtarif',
-        source=fx.Flow(
-            'P_el',
-            bus='Strom',
-            size=1000,
-            effects_per_flow_hour={costs.label: TS_electricity_price_buy, CO2.label: 0.3},
-        ),
+        outputs=[
+            fx.Flow(
+                'P_el',
+                bus='Strom',
+                size=1000,
+                effects_per_flow_hour={costs.label: TS_electricity_price_buy, CO2.label: 0.3},
+            )
+        ],
     )
 
     # Flow System Setup

examples/04_Scenarios/scenario_example.py

@@ -43,7 +43,7 @@
         label='CO2',
         unit='kg',
         description='CO2_e-Emissionen',
-        maximum_operation_per_hour=1000,  # Max CO2 emissions per hour
+        maximum_per_hour=1000,  # Max CO2 emissions per hour
     )
 
     # --- Define Flow System Components ---
@@ -90,18 +90,20 @@
     # Heat Demand Sink: Represents a fixed heat demand profile
     heat_sink = fx.Sink(
         label='Heat Demand',
-        sink=fx.Flow(label='Q_th_Last', bus='Fernwärme', size=1, fixed_relative_profile=heat_demand_per_h),
+        inputs=[fx.Flow(label='Q_th_Last', bus='Fernwärme', size=1, fixed_relative_profile=heat_demand_per_h)],
     )
 
     # Gas Source: Gas tariff source with associated costs and CO2 emissions
     gas_source = fx.Source(
         label='Gastarif',
-        source=fx.Flow(label='Q_Gas', bus='Gas', size=1000, effects_per_flow_hour={costs.label: 0.04, CO2.label: 0.3}),
+        outputs=[
+            fx.Flow(label='Q_Gas', bus='Gas', size=1000, effects_per_flow_hour={costs.label: 0.04, CO2.label: 0.3})
+        ],
     )
 
     # Power Sink: Represents the export of electricity to the grid
     power_sink = fx.Sink(
-        label='Einspeisung', sink=fx.Flow(label='P_el', bus='Strom', effects_per_flow_hour=-1 * power_prices)
+        label='Einspeisung', inputs=[fx.Flow(label='P_el', bus='Strom', effects_per_flow_hour=-1 * power_prices)]
     )
 
     # --- Build the Flow System ---

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

@@ -84,30 +84,34 @@
             charging=fx.Flow('Q_th_load', size=137, bus='Fernwärme'),
             discharging=fx.Flow('Q_th_unload', size=158, bus='Fernwärme'),
         ),
-        fx.Sink('Wärmelast', sink=fx.Flow('Q_th_Last', bus='Fernwärme', size=1, fixed_relative_profile=heat_demand)),
+        fx.Sink(
+            'Wärmelast', inputs=[fx.Flow('Q_th_Last', bus='Fernwärme', size=1, fixed_relative_profile=heat_demand)]
+        ),
         fx.Source(
             'Gastarif',
-            source=fx.Flow('Q_Gas', bus='Gas', size=1000, effects_per_flow_hour={'costs': gas_price, 'CO2': 0.3}),
+            outputs=[fx.Flow('Q_Gas', bus='Gas', size=1000, effects_per_flow_hour={'costs': gas_price, 'CO2': 0.3})],
         ),
         fx.Source(
             'Kohletarif',
-            source=fx.Flow('Q_Kohle', bus='Kohle', size=1000, effects_per_flow_hour={'costs': 4.6, 'CO2': 0.3}),
+            outputs=[fx.Flow('Q_Kohle', bus='Kohle', size=1000, effects_per_flow_hour={'costs': 4.6, 'CO2': 0.3})],
         ),
         fx.Source(
             'Einspeisung',
-            source=fx.Flow(
-                'P_el', bus='Strom', size=1000, effects_per_flow_hour={'costs': electricity_price + 0.5, 'CO2': 0.3}
-            ),
+            outputs=[
+                fx.Flow(
+                    'P_el', bus='Strom', size=1000, effects_per_flow_hour={'costs': electricity_price + 0.5, 'CO2': 0.3}
+                )
+            ],
         ),
         fx.Sink(
             'Stromlast',
-            sink=fx.Flow('P_el_Last', bus='Strom', size=1, fixed_relative_profile=electricity_demand),
+            inputs=[fx.Flow('P_el_Last', bus='Strom', size=1, fixed_relative_profile=electricity_demand)],
         ),
         fx.Source(
             'Stromtarif',
-            source=fx.Flow(
-                'P_el', bus='Strom', size=1000, effects_per_flow_hour={'costs': electricity_price, 'CO2': 0.3}
-            ),
+            outputs=[
+                fx.Flow('P_el', bus='Strom', size=1000, effects_per_flow_hour={'costs': electricity_price, 'CO2': 0.3})
+            ],
         ),
     )
 

flixopt/__init__.py

@@ -2,6 +2,7 @@
 This module bundles all common functionality of flixopt and sets up the logging
 """
 
+import warnings
 from importlib.metadata import version
 
 __version__ = version('flixopt')
@@ -37,3 +38,33 @@
 )
 
 CONFIG.load_config()
+
+
+# === Runtime warning suppression for third-party libraries ===
+# These warnings are from dependencies and cannot be fixed by end users.
+# They are suppressed at runtime to provide a cleaner user experience.
+# These filters match the test configuration in pyproject.toml for consistency.
+
+# tsam: Time series aggregation library
+# - FutureWarning: Upcoming API changes in tsam (will be fixed in future tsam releases)
+warnings.filterwarnings('ignore', category=FutureWarning, module='tsam')
+# - UserWarning: Informational message about minimal value constraints
+warnings.filterwarnings('ignore', category=UserWarning, message='.*minimal value.*exceeds.*', module='tsam')
+# TODO: Might be able to fix it in flixopt?
+
+# linopy: Linear optimization library
+# - UserWarning: Coordinate mismatch warnings that don't affect functionality and are expected.
+warnings.filterwarnings(
+    'ignore', category=UserWarning, message='Coordinates across variables not equal', module='linopy'
+)
+# - FutureWarning: join parameter default will change in future versions
+warnings.filterwarnings(
+    'ignore',
+    category=FutureWarning,
+    message="default value for join will change from join='outer' to join='exact'",
+    module='linopy',
+)
+
+# numpy: Core numerical library
+# - RuntimeWarning: Binary incompatibility warnings from compiled extensions (safe to ignore). numpy 1->2
+warnings.filterwarnings('ignore', category=RuntimeWarning, message='numpy\\.ndarray size changed')

flixopt/plotting.py

@@ -27,9 +27,11 @@
 
 import itertools
 import logging
+import os
 import pathlib
 from typing import TYPE_CHECKING, Any, Literal
 
+import matplotlib
 import matplotlib.colors as mcolors
 import matplotlib.pyplot as plt
 import numpy as np
@@ -1450,20 +1452,49 @@ def export_figure(
         if filename.suffix != '.html':
             logger.warning(f'To save a Plotly figure, using .html. Adjusting suffix for {filename}')
             filename = filename.with_suffix('.html')
-        if show and not save:
-            fig.show()
-        elif save and show:
-            plotly.offline.plot(fig, filename=str(filename))
-        elif save and not show:
-            fig.write_html(str(filename))
+
+        try:
+            is_test_env = 'PYTEST_CURRENT_TEST' in os.environ
+
+            if is_test_env:
+                # Test environment: never open browser, only save if requested
+                if save:
+                    fig.write_html(str(filename))
+                # Ignore show flag in tests
+            else:
+                # Production environment: respect show and save flags
+                if save and show:
+                    # Save and auto-open in browser
+                    plotly.offline.plot(fig, filename=str(filename))
+                elif save and not show:
+                    # Save without opening
+                    fig.write_html(str(filename))
+                elif show and not save:
+                    # Show interactively without saving
+                    fig.show()
+                # If neither save nor show: do nothing
+        finally:
+            # Cleanup to prevent socket warnings
+            if hasattr(fig, '_renderer'):
+                fig._renderer = None
+
         return figure_like
 
     elif isinstance(figure_like, tuple):
         fig, ax = figure_like
         if show:
-            fig.show()
+            # Only show if using interactive backend and not in test environment
+            backend = matplotlib.get_backend().lower()
+            is_interactive = backend not in {'agg', 'pdf', 'ps', 'svg', 'template'}
+            is_test_env = 'PYTEST_CURRENT_TEST' in os.environ
+
+            if is_interactive and not is_test_env:
+                plt.show()
+
         if save:
             fig.savefig(str(filename), dpi=300)
+            plt.close(fig)  # Close figure to free memory
+
         return fig, ax
 
     raise TypeError(f'Figure type not supported: {type(figure_like)}')

flixopt/results.py

@@ -666,7 +666,7 @@ def _create_effects_dataset(self, mode: Literal['temporal', 'periodic', 'total']
 
                 component_arrays.append(arr.expand_dims(component=[component]))
 
-            ds[effect] = xr.concat(component_arrays, dim='component', coords='minimal').rename(effect)
+            ds[effect] = xr.concat(component_arrays, dim='component', coords='minimal', join='outer').rename(effect)
 
         # For now include a test to ensure correctness
         suffix = {