Skip to content

Conversation

@FBumann
Copy link
Member

@FBumann FBumann commented Sep 27, 2025

Renamed Effect domains:

investnontemporal
operationtemporal

Further, rename Effect parameters to:

  • minimum_investmentminimum_nontemporal
  • maximum_investmentmaximum_nontemporal
  • minimum_operationminimum_temporal
  • maximum_operationmaximum_temporal
  • minimum_operation_per_hourminimum_per_hour
  • maximum_operation_per_hourmaximum_per_hour

Type of Change

  • Bug fix
  • New feature
  • Documentation update
  • Code refactoring

Related Issues

Closes #(issue number)

Testing

  • I have tested my changes
  • Existing tests still pass

Checklist

  • My code follows the project style
  • I have updated documentation if needed
  • I have added tests for new functionality (if applicable)

Summary by CodeRabbit

  • New Features
    • Added runtime validation to reject unexpected keyword arguments during object creation.
  • Refactor
    • Renamed “operation/invest” to “temporal/nontemporal” across effects, results, and examples.
    • Updated public parameters and result identifiers (e.g., costs|total → costs; per-timestep keys aligned to temporal).
  • Documentation
    • Documented deprecated Effect parameters and their new names.
  • Tests
    • Updated test suite to reflect new terminology and result keys.
  • Chores
    • Improved deprecation warnings and messaging consistency.
  • Examples
    • Adjusted plotting/data references and comparison columns to use temporal/nontemporal.

@coderabbitai
Copy link
Contributor

coderabbitai bot commented Sep 27, 2025

Walkthrough

Renames the Effect domains from operation/invest to temporal/nontemporal across core models, results, examples, and tests. Updates parameter names, labels, dataset keys, and plotting references. Adds deprecation handling and kwargs validation. Adjusts result aggregation paths and per-timestep naming. Documentation and tests updated accordingly.

Changes

Cohort / File(s) Summary
Documentation
CHANGELOG.md
Added deprecation note documenting Effect parameter renames (operation/invest → temporal/nontemporal and per-hour keys).
Examples
examples/03_Calculation_types/example_calculation_types.py, examples/05_Two-stage-optimization/two_stage_optimization.py
Updated plotting/data keys and comparison columns: operation/invest → temporal/nontemporal; total_per_timestep → per_timestep; costs
Effects and Model Wiring
flixopt/effects.py, flixopt/elements.py, flixopt/features.py, flixopt/calculation.py
Core refactor: rename submodels, targets, labels, parameters from operation/invest to temporal/nontemporal; total = temporal + nontemporal; per-timestep key renamed; share targets updated; added deprecated properties and kwargs mapping.
Results and Datasets
flixopt/results.py
Public/internal mode literals updated to ['temporal','nontemporal','total']; dataset suffixes and aggregation adjusted; APIs accept/return new modes; total computation sums temporal+nontemporal.
Validation Utility and Components
flixopt/structure.py, flixopt/components.py
Added Interface._validate_kwargs; invoked in Source/ Sink/ SourceAndSink to reject unexpected kwargs; refined deprecation messages.
Tests
tests/test_* (…test_effect.py, test_flow.py, test_functional.py, test_integration.py, test_io.py, test_linear_converter.py, test_scenarios.py)
Updated assertions and keys to temporal/nontemporal naming; costs

Sequence Diagram(s)

sequenceDiagram
  autonumber
  actor User
  participant Interface as Interface.__init__
  participant Validator as _validate_kwargs
  participant Component as Source/Sink/SourceAndSink

  User->>Component: __init__(..., **kwargs)
  Component->>Validator: _validate_kwargs(kwargs, class_name)
  alt unexpected kwargs
    Validator-->>Component: TypeError
    Component-->>User: raise
  else ok
    Component-->>User: constructed
  end
Loading
sequenceDiagram
  autonumber
  participant Builder as EffectModel
  participant Temporal as Submodel(temporal)
  participant NonTemporal as Submodel(nontemporal)
  participant Results as CalculationResults

  Builder->>Temporal: build constraints (min/max, per_timestep)
  Builder->>NonTemporal: build constraints (min/max)
  Builder->>Builder: total = temporal.total + nontemporal.total
  Results->>Temporal: fetch temporal values
  Results->>NonTemporal: fetch nontemporal values
  Results->>Results: compute total/merge datasets with new keys
Loading

Estimated code review effort

🎯 4 (Complex) | ⏱️ ~60 minutes

Possibly related issues

  • [FEATURE] Rename Effect domains #308 — Implements the rename from operation/invest to temporal/nontemporal across Effects, models, results, and labels, matching this PR’s changes.

Possibly related PRs

Suggested reviewers

  • baumbude
  • PStange

Poem

Ears up, I hop through temporal time,
Nontemporal burrows—tidy, sublime.
Shares are mapped, constraints align,
Costs per hop now neatly rhyme.
Old names fade like dusk’s soft glow—
New labels sprout; onward we go! 🐇✨

Pre-merge checks and finishing touches

❌ Failed checks (3 warnings)
Check name Status Explanation Resolution
Title Check ⚠️ Warning The title includes an unnecessary branch/feature prefix and does not follow the concise, descriptive format expected; although it mentions “rename effect domains,” the extra “Feature/v3/feature/308” text adds noise and detracts from clarity. Please simplify the title to a clear, single sentence such as “Rename effect domains from invest/operation to nontemporal/temporal” and remove any branch or ticket prefixes.
Description Check ⚠️ Warning The description does not match the repository template because it uses a custom “## Renamed Effect domains” header instead of “## Description,” leaves the Related Issues placeholder without a valid issue number, and the Testing section checkboxes are all unchecked, making it unclear if tests were run. Please update the description to use the “## Description” header, fill in the actual issue number under Related Issues, and mark or complete the Testing checkboxes to confirm that changes have been tested and existing tests still pass.
Docstring Coverage ⚠️ Warning Docstring coverage is 59.32% which is insufficient. The required threshold is 80.00%. You can run @coderabbitai generate docstrings to improve docstring coverage.
✨ Finishing touches
  • 📝 Generate Docstrings
🧪 Generate unit tests
  • Create PR with unit tests
  • Post copyable unit tests in a comment
  • Commit unit tests in branch feature/v3/feature/308-rename-effect-domains-final

Thanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out.

❤️ Share

Comment @coderabbitai help to get the list of available commands and usage tips.

@FBumann FBumann changed the title Feature/v3/feature/308 rename effect domains final Feature/v3/feature/308 rename effect domains Sep 27, 2025
@FBumann
Copy link
Member Author

FBumann commented Sep 27, 2025

@coderabbitai review

@coderabbitai
Copy link
Contributor

coderabbitai bot commented Sep 27, 2025

✅ Actions performed

Review triggered.

Note: CodeRabbit is an incremental review system and does not re-review already reviewed commits. This command is applicable only when automatic reviews are paused.

Copy link
Contributor

@coderabbitai coderabbitai bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Actionable comments posted: 2

Caution

Some comments are outside the diff and can’t be posted inline due to platform limitations.

⚠️ Outside diff range comments (1)
flixopt/effects.py (1)

391-426: Verify cross-effect share transformation.

Line 422 appears to have an inconsistency - it uses 'operation->' as the prefix but processes specific_share_to_other_effects_invest data. This seems like a copy-paste error that should be 'nontemporal->'.

Apply this fix:

         self.specific_share_to_other_effects_invest = flow_system.fit_effects_to_model_coords(
-            f'{prefix}|operation->',
+            f'{prefix}|nontemporal->',
             self.specific_share_to_other_effects_invest,
             'operation',

Note: Line 424 also needs updating to use the new mode parameter:

             self.specific_share_to_other_effects_invest,
-            'operation',
+            'nontemporal',
🧹 Nitpick comments (2)
flixopt/structure.py (1)

370-399: Tighten kwargs validation: bind to class init, avoid local import, sort keys

Functionality is good. Minor refinements for clarity and determinism:

  • Bind signature to type(self).init (explicit class method).
  • Use the top-level inspect import (remove local import).
  • Sort unexpected keys for stable error messages.
-        import inspect
-
-        sig = inspect.signature(self.__init__)
+        # use top-level inspect import; bind to class for clarity
+        sig = inspect.signature(type(self).__init__)
         known_params = set(sig.parameters.keys()) - {'self', 'kwargs'}
         # Also filter out 'kwargs' itself which can appear during deserialization
         extra_kwargs = {k: v for k, v in kwargs.items() if k not in known_params and k != 'kwargs'}
 
         if extra_kwargs:
             class_name = class_name or self.__class__.__name__
-            unexpected_params = ', '.join(f"'{param}'" for param in extra_kwargs.keys())
+            unexpected_params = ', '.join(f"'{param}'" for param in sorted(extra_kwargs.keys()))
             raise TypeError(f'{class_name}.__init__() got unexpected keyword argument(s): {unexpected_params}')
flixopt/components.py (1)

1058-1087: Document strict kwargs validation or provide legacy aliases
Calling self._validate_kwargs now rejects unexpected kwargs; update the SourceAndSink docstring to call out this strict validation or add targeted aliases for the deprecated parameters.

📜 Review details

Configuration used: CodeRabbit UI

Review profile: CHILL

Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 95f3666 and 9ddc509.

📒 Files selected for processing (17)
  • CHANGELOG.md (1 hunks)
  • examples/03_Calculation_types/example_calculation_types.py (1 hunks)
  • examples/05_Two-stage-optimization/two_stage_optimization.py (1 hunks)
  • flixopt/calculation.py (1 hunks)
  • flixopt/components.py (5 hunks)
  • flixopt/effects.py (10 hunks)
  • flixopt/elements.py (1 hunks)
  • flixopt/features.py (6 hunks)
  • flixopt/results.py (9 hunks)
  • flixopt/structure.py (1 hunks)
  • tests/test_effect.py (6 hunks)
  • tests/test_flow.py (6 hunks)
  • tests/test_functional.py (2 hunks)
  • tests/test_integration.py (4 hunks)
  • tests/test_io.py (1 hunks)
  • tests/test_linear_converter.py (2 hunks)
  • tests/test_scenarios.py (3 hunks)
🔇 Additional comments (49)
flixopt/components.py (2)

1343-1353: No Sink instantiations with uncommon kwargs—strict validation safe
rg found no Sink(...) calls using on_off_parameters or prevent_simultaneous_flows.


1212-1222: No component-only kwargs used in Source instantiations
Search found no calls to Source(...) with extra kwargs; deprecation warning and kwargs validation are safe.

flixopt/elements.py (1)

646-647: No action needed: add_share_to_effects supports ‘temporal’
Signature defines target: Literal['temporal','nontemporal'] and all aggregation/plots use the ‘temporal’ label.

tests/test_io.py (1)

56-59: LGTM! Consistent with the temporal/nontemporal refactoring.

The change from accessing aggregated costs via costs|total to costs aligns with the broader repository refactoring that renamed Effect domains from operation/invest to temporal/nontemporal. Based on the flixopt documentation, the framework "abstracts costs as so called 'Effects'. This allows to model costs, CO2-emissions, primary-energy-demand or area-demand at the same time." The updated assertions correctly reflect the new public API structure.

examples/03_Calculation_types/example_calculation_types.py (2)

210-210: LGTM! Updated plotting key aligns with temporal refactoring.

The change from costs(operation)|total_per_timestep to costs(temporal)|per_timestep correctly reflects the domain renaming and the simplified per-timestep naming convention. This ensures plotting functionality remains consistent with the new API.


217-217: LGTM! Consistent plotting key update.

Similar to the previous change, this update maintains consistency with the temporal/nontemporal refactoring across all plotting references.

flixopt/calculation.py (1)

110-111: LGTM! Effect submodel field names updated correctly.

The renaming from operation and invest to temporal and nontemporal provides clearer semantic meaning for the Effect domains. The temporal domain captures time-varying effects (like operational costs per timestep), while nontemporal captures time-invariant effects (like investment costs). This change aligns with the broader refactoring across the codebase.

tests/test_scenarios.py (3)

242-242: LGTM! Objective expression updated to use normalized variable names.

The change from costs|total to costs reflects the normalized variable naming in the optimization model. This maintains consistency with the broader refactoring while preserving the correct weighted objective calculation logic.


253-253: LGTM! Consistent objective expression update.

This change mirrors the previous update, ensuring all scenario tests use the consistent variable naming convention.


328-328: LGTM! Test assertion updated with normalized variable names.

The change from costs|total to costs in the test assertion maintains consistency with the model variable renaming while preserving the test logic for objective value verification.

tests/test_functional.py (3)

115-115: LGTM! Total costs assertion updated correctly.

The change from costs|total to costs aligns with the normalized variable naming in the solution results. This maintains test correctness while adopting the new API structure.


125-125: LGTM! Per-timestep costs variable updated appropriately.

The change from costs(operation)|total_per_timestep to costs(temporal)|per_timestep correctly reflects both the domain rename (operation→temporal) and the simplified timestep naming convention. This maintains test accuracy while adopting the new terminology.


132-132: LGTM! Component-specific cost variable updated consistently.

The change from costs(operation) to costs(temporal) for the Gas tariff cost variable maintains consistency with the temporal domain renaming across all test assertions.

tests/test_linear_converter.py (2)

187-191: LGTM! Consistent test update for temporal effects.

The renaming from operation to temporal in the constraint names is correctly applied here and maintains consistency with the domain renaming throughout the codebase.


490-495: LGTM! Temporal effects consistently updated.

The constraint and variable names have been properly updated to use the new temporal domain terminology.

tests/test_flow.py (5)

125-138: LGTM! Effects per flow hour correctly updated.

The test assertions for effects per flow hour have been properly updated to use temporal domain terminology, maintaining consistency with the new naming scheme.


470-486: LGTM! Investment effects properly migrated.

The investment effects have been correctly renamed to use nontemporal domain terminology, aligning with the PR's objective to rename invest to nontemporal.


507-513: LGTM! Divestment effects consistently updated.

The divestment effects constraint has been properly updated to use the nontemporal domain.


622-641: LGTM! Per-running-hour effects updated to temporal.

The effects per running hour have been correctly renamed to use the temporal domain terminology.


1025-1031: LGTM! Startup cost effects properly migrated.

The startup cost effects have been correctly updated to use the temporal domain, as these are operation-related costs.

tests/test_integration.py (6)

66-71: LGTM! Top-level effect names simplified as expected.

The test correctly reflects the simplified naming where costs|total becomes just costs and CO2|total becomes just CO2 in the results.


85-98: LGTM! Per-timestep aggregation correctly renamed.

The test properly updates from costs(operation)|total_per_timestep to costs(temporal)|per_timestep, following the new naming convention.


101-129: LGTM! Component-level temporal effects consistently updated.

All component-specific cost contributions have been correctly renamed from operation to temporal domain.


132-141: LGTM! Investment effects renamed to nontemporal.

The investment-related costs for components have been properly updated to use the nontemporal domain terminology.


144-152: LGTM! Effect totals properly split between domains.

The test correctly validates that CO2 emissions are split between CO2(temporal) and CO2(nontemporal) domains.


307-316: Document segmented calculation handling difference
Aggregated models use results.model['costs'].solution.item(), segmented models use solution_without_overlap('costs(temporal)|per_timestep').sum()—confirm this divergence is intentional and add a brief note in the test or documentation.

tests/test_effect.py (6)

26-34: LGTM! Effect variable structure properly updated.

The test correctly validates the new variable structure with separate temporal and nontemporal components plus the combined total effect.


36-45: LGTM! Constraint structure matches variable structure.

The constraints mirror the variable structure with proper domain separation.


59-72: LGTM! Effect composition correctly implemented.

The test properly validates that the total effect equals the sum of temporal and nontemporal components.


80-88: LGTM! Effect bounds properly migrated to new parameter names.

The test correctly uses the renamed parameters:

  • minimum/maximum_operationminimum/maximum_temporal
  • minimum/maximum_investmentminimum/maximum_nontemporal
  • minimum/maximum_operation_per_hourminimum/maximum_per_hour

244-262: LGTM! Effect share factors properly separated by domain.

The test correctly validates effect share factors for both temporal and nontemporal domains.


283-303: LGTM! Component effect aggregation validated for all domains.

The test properly validates that effects per component sum correctly for temporal, nontemporal, and total domains.

flixopt/features.py (5)

100-100: LGTM! Consistent refactoring to temporal/nontemporal terminology.

The changes from invest to nontemporal in the target parameter for add_share_to_effects calls are consistent and align with the PR's objective to rename Effect domains. The terminology change makes the distinction between time-dependent (temporal) and time-independent (nontemporal) effects clearer.

Also applies to: 110-110, 117-117


243-243: LGTM! Consistent updates in OnOffModel effects.

The target parameter changes from operation to temporal for the OnOff model's runtime-dependent effects are appropriate and maintain consistency with the new naming convention.

Also applies to: 252-252


487-487: LGTM! PiecewiseEffectsModel updated correctly.

The target parameter change to nontemporal for piecewise investment effects aligns with the PR objectives.


529-533: Clean refactoring of ShareAllocationModel naming.

The changes improve clarity and consistency:

  • Using self.label_full directly for the total variable name
  • Renaming total_per_timestep to per_timestep removes redundancy
  • Consistent constraint naming throughout

These changes align with the broader temporal/nontemporal refactoring effort.

Also applies to: 540-544


591-591: Verify constraint reference update.

The update from _eq_total_per_timestep to self._eq_total_per_timestep is correct since the constraint is now stored as an instance variable.

flixopt/results.py (6)

286-286: LGTM! Effect share factors updated to new naming.

The dictionary keys have been correctly updated from operation/invest to temporal/nontemporal.


359-359: LGTM! Effects dataset modes updated consistently.

The loop now correctly iterates over ['temporal', 'nontemporal', 'total'] instead of the old naming.


476-491: Well-implemented backwards-compatible API update.

The get_effect_shares method signature and implementation have been properly updated:

  • Mode parameter now accepts 'temporal'/'nontemporal' instead of operation/invest terminology
  • Documentation correctly describes the new modes
  • Error message provides clear guidance on valid options
  • Recursive calls use the new parameter names

Also applies to: 507-510, 515-516


544-589: Comprehensive update to _compute_effect_total method.

The implementation correctly handles the new temporal/nontemporal terminology:

  • Method signature updated with new mode literals
  • Documentation reflects the new terminology
  • Internal logic properly computes temporal and nontemporal components
  • Null checking and summation logic preserved correctly

621-627: LGTM! Consistent updates to effects dataset creation.

The _create_effects_dataset method correctly uses the new mode terminology in both the signature and documentation.


672-674: Suffix mapping updated correctly.

The suffix mapping dictionary properly maps the new mode names to their corresponding suffixes:

  • 'temporal' → '(temporal)|per_timestep'
  • 'nontemporal' → '(nontemporal)'
  • 'total' → ''

This ensures result labels remain consistent with the new terminology.

flixopt/effects.py (6)

57-66: Well-executed deprecation handling for backwards compatibility.

The implementation provides excellent backwards compatibility through:

  1. Clear deprecation warnings with actionable messages
  2. Validation to prevent conflicting parameter usage
  3. Comprehensive parameter mapping from old to new names
  4. Proper kwargs validation to catch unexpected parameters

The deprecation strategy ensures existing code continues to work while guiding users toward the new API.

Also applies to: 163-268


270-390: Clean implementation of deprecated property accessors.

The deprecated properties provide a smooth migration path:

  • Both getters and setters emit clear deprecation warnings
  • Properties correctly proxy to the new internal attributes
  • Warning messages guide users to the new property names

This approach maintains full backwards compatibility while encouraging migration.


446-481: Clean refactoring of EffectModel submodels.

The EffectModel correctly:

  • Renames submodels to nontemporal and temporal
  • Updates label formatting with new terminology
  • Properly maps min/max parameters to the renamed attributes
  • Maintains the total calculation as sum of temporal and nontemporal

576-587: Clear error messages for cycle detection.

The cycle detection has been properly updated to:

  • Check temporal and nontemporal shares separately
  • Provide clear, specific error messages for each type of cycle

693-709: Comprehensive updates to share allocation methods.

Both add_share_to_effects and _add_share_between_effects have been correctly updated:

  • Target parameter accepts new 'temporal'/'nontemporal' literals
  • Shares are properly routed to the correct submodels
  • Cross-effect shares correctly reference the renamed submodels

Also applies to: 733-746


660-676: LGTM! Effect share factor calculation updated.

The calculate_effect_share_factors method now correctly:

  • Returns temporal and nontemporal share dictionaries
  • Processes shares with the updated attribute names
  • Maintains the same calculation logic with new naming

Comment on lines +111 to +117
- Renamed `Effect` parameters:
- `minimum_investment` → `minimum_nontemporal`
- `maximum_investment` → `maximum_nontemporal`
- `minimum_operation` → `minimum_temporal`
- `maximum_operation` → `maximum_temporal`
- `minimum_operation_per_hour` → `minimum_per_hour`
- `maximum_operation_per_hour` → `maximum_per_hour`
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

⚠️ Potential issue | 🔴 Critical

🧩 Analysis chain

Confirm exact legacy parameter names ('minimum_invest' vs 'minimum_investment')

The changelog lists minimum_investment/maximum_investment; earlier notes sometimes reference minimum_invest/maximum_invest. Ensure the deprecation mapping and docs reflect the actual legacy names used in the API.


🏁 Script executed:

#!/bin/bash
# Check for occurrences of both variants to ensure consistency
rg -nP "(minimum|maximum)_(invest(ment)?|operation(_per_hour)?)" --type=py -C2
rg -nP "(minimum|maximum)_(nontemporal|temporal|per_hour)" --type=py -C2

Length of output: 33793


Use correct legacy names (minimum_invest/maximum_invest) in CHANGELOG.md
Change the entries from minimum_investment/maximum_investment to minimum_invest/maximum_invest to match the actual deprecated parameters.

🤖 Prompt for AI Agents
In CHANGELOG.md around lines 111 to 117, the legacy parameter names are
incorrect: update the listed renamed Effect parameters from
`minimum_investment`/`maximum_investment` to the actual deprecated names
`minimum_invest`/`maximum_invest` so the changelog matches the real legacy
parameter names; keep the other renames unchanged and verify spelling and
backticks for consistency.

Comment on lines +148 to +150
'costs',
'costs(nontemporal)',
'costs(temporal)',
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

⚠️ Potential issue | 🔴 Critical

🧩 Analysis chain

Aligns with renamed effect domains; please verify keys exist in results

The switch to 'costs', 'costs(nontemporal)', and 'costs(temporal)' matches the new terminology. Please confirm these variables are present in results for both Combined and Two-stage modes.


🏁 Script executed:

#!/bin/bash
# Inspect available data variables in both solutions to verify keys
rg -nP -C2 "results\.solution" --type=py
# Optionally print example outputs if a small fixture exists
rg -nP "costs\(temporal\)|costs\(nontemporal\)" --type=py -C2

Length of output: 20492


Update temporal cost key in example Replace 'costs(temporal)' with 'costs(temporal)|per_timestep' in examples/05_Two-stage-optimization/two_stage_optimization.py to match results.solution keys.

🤖 Prompt for AI Agents
In examples/05_Two-stage-optimization/two_stage_optimization.py around lines 148
to 150, the example uses the outdated key 'costs(temporal)'; update that entry
to 'costs(temporal)|per_timestep' so it matches the keys present in
results.solution (i.e., replace 'costs(temporal)' with
'costs(temporal)|per_timestep').

@FBumann FBumann merged commit fab3a01 into feature/v3/main Sep 27, 2025
12 checks passed
@FBumann FBumann mentioned this pull request Sep 27, 2025
9 tasks
@FBumann FBumann mentioned this pull request Oct 8, 2025
2 tasks
FBumann added a commit that referenced this pull request Oct 13, 2025
* V3.0.0/main (#284)

* Bugfix plot_node_balance_pie()

* Scenarios/fixes (#252)

* BUGFIX missing conversion to TimeSeries

* BUGFIX missing conversion to TimeSeries

* Bugfix node_balance with flow_hours: Negate correctly

* Scenarios/filter (#253)

* Add containts and startswith to filter_solution

* Scenarios/drop suffix (#251)

Drop suffixes in plots and add the option to drop suffixes to sanitize_dataset()

* Scenarios/bar plot (#254)

* Add stacked bar style to plotting methods
* Rename mode to style  (line, bar, area, ...)

* Bugfix plotting

* Fix example_calculation_types.py

* Scenarios/fixes (#255)

* Fix indexing issue with only one scenario

* Bugfix Cooling Tower

* Add option for balanced Storage Flows (equalize size of charging and discharging)

* Add option for balanced Storage Flows

* Change error to warning (non-fixed size with piecewise conversion AND fixed_flow_rate with OnOff)

* Bugfix in DataConverter

* BUGFIX: Typo (total_max/total_min in Effect)

* Bugfix in node_balance() (negating did not work when using flow_hours mode

* Scenarios/effects (#256)

* Add methods to track effect shares of components and Flows

* Add option to include flows when retrieving effects

* Add properties and methods to store effect results in a dataset

* Reorder methods

* Rename and improve docs

* Bugfix test class name

* Fix the Network algorithm to calculate the sum of parallel paths, and be independent on nr of nodes and complexity of the network

* Add tests for the newtork chaining and the results of effect shares

* Add methods to check for circular references

* Add test to check for circular references

* Update cycle checker to return the found cycles

* Add checks in results to confirm effects are computed correctly

* BUGFIX: Remove +1 from prior testing

* Add option for grouped bars to plotting.with_plotly() and make lines of stacked bar plots invisible

* Reconstruct FlowSystem in CalculationResults on demand. DEPRECATION in CalculationResults

* ruff check

* Bugfix: save flow_system data, not the flow_system

* Update tests

* Scenarios/datasets results (#257)

* Use dataarray instead of dataset

* Change effects dataset to dataarray and use nan when no share was found

* Add method for flow_rates dataset

* Add methods to get flow_rates and flow_hours as datasets

* Rename the dataarrays to the flow

* Preserve index order

* Improve filter_edges_dataset()

* Simplify _create_flow_rates_dataarray()

* Add dataset for sizes of Flows

* Extend results structure to contain flows AND start/end infos

* Add FlowResults Object

* BUGFIX:Typo in _ElementResults.constraints

* Add flows to results of Nodes

* Simplify dataarray creation and improve FlowResults

* Add nice docstrings

* Improve filtering of flow results

* Improve filtering of flow results. Add attribute of component

* Add big dataarray with all variables but indexed

* Revert "Add big dataarray with all variables but indexed"

This reverts commit 08cd8a1.

* Improve filtering method for coords filter and add error handling for restoring the flow system

* Remove unnecessary methods in results .from_json()

* Ensure consistent coord ordering in Effects dataarray

* Rename get_effects_per_component()

* Make effects_per_component() a dataset instead of a dataarray

* Improve backwards compatability

* ruff check

* ruff check

* Scenarios/deprecation (#258)

* Deprecate .active_timesteps

* Improve logger warning

* Starting release notes

* Bugfix in plausibility_check: Index 0

* Set bargap to 0 in stacked bars

* Ensure the size is always properly indexed in results.

* ruff check

* BUGFIX in extract data, that causes coords in linopy to be incorrect (scalar xarray.DataArrays)

* Improve yaml formatting for model documentation (#259)

* Make the size/capacity a TimeSeries (#260)

* Scenarios/plot network (#262)

* Catch bug in plot_network with 2D arrays

* Add plot_network() to test_io.py

* Update deploy-docs.yaml:
Run on Release publishing instead of creation
and
only run for stable releases (vx.y.z)

* Bugfix DataConverter and add tests (#263)

* Fix doc deployment to not publish on non stable releases

* Remove unused code

* Remove legend placing for better auto placing in plotly

* Fix plotly dependency

* Improve validation when adding new effects

* Moved release notes to CHANGELOG.md

* Try to add to_dataset to Elements

* Remove TimeSeries

* Remove TimeSeries

* Rename conversion method to pattern: to_...

* Move methods to FlowSystem

* Drop nan values across time dimension if present

* Allow lists of values to create DataArray

* Update resolving of FlowSystem

* Simplify TimeSeriesData

* Move TImeSeriesData to Structure and simplyfy to inherrit from xarray.DataArray

* Adjust IO

* Move TimeSeriesData back to core.py and fix Conversion

* Adjust IO to account for attrs of DataArrays in a Dataset

* Rename transforming and connection methods in FlowSystem

* Compacted IO methods

* Remove infos()

* remove from_dict() and to_dict()

* Update __str__ of Interface

* Improve str and repr

* Improve str and repr

* Add docstring

* Unify IO stuff in Interface class

* Improve test tu utilize __eq__ method

* Make Interface class more robust and improve exceptions

* Add option to copy Interfaces (And the FlowSystem)

* Make a copy of a FLowSytsem that gets reused in a second Calculation

* Remove test_timeseries.py

* Reorganizing Datatypes

* Remove TImeSeries and TimeSeriesCollection entirely

* Remove old method

* Add option to get structure with stats of dataarrays

* Change __str__ method

* Remove old methods

* remove old imports

* Add isel, sel and resample methods to FlowSystem

* Remove need for timeseries with extra timestep

* Simplify IO of FLowSystem

* Remove parameter timesteps from IO

* Improve Exceptions and Docstrings

* Improve isel sel and resample methods

* Change test

* Bugfix

* Improve

* Improve

* Add test for Storage Bounds

* Add test for Storage Bounds

* CHANGELOG.md

* ruff check

* Improve types

* CHANGELOG.md

* Bugfix in Storage

* Revert changes in example_calculation_types.py

* Revert changes in simple_example.py

* Add convenient access to Elements in FlowSystem

* Get Aggregated Calculation Working

* Segmented running with wrong results

* Use new persistent FLowSystem to create Calculations upfront

* Improve SegmentedCalcualtion

* Improve SegmentedCalcualtion

* Fix SegmentedResults IO

* ruff check

* Update example

* Updated logger essages to use .label_full instead of .label

* Re-add parameters. Use deprecation warning instead

* Update changelog

* Improve warning message

* Merge

* Merge

* Fit scenario weights to model coords when transforming

* Merge

* Removing logic between minimum, maximum and fixed size from InvestParameters

* Remove selected_timesteps

* Improve TypeHints

* New property on InvestParameters for min/max/fixed size

* Move logic for InvestParameters in Transmission to from Model to Interface

* Make transformation of data more hierarchical (Flows after Components)

* Add scenario validation

* Change Transmission to have a "balanced" attribute. Change Tests accordingly

* Improve index validations

* rename method in tests

* Update DataConverter

* Add DataFrame Support back

* Add copy() to DataConverter

* Update fit_to_model_coords to take a list of coords

* Make the DataConverter more universal by accepting a list of coords/dims

* Update DataConverter for n-d arrays

* Update DataConverter for n-d arrays

* Add extra tests for 3-dims

* Add FLowSystemDimension Type

* Revert some logic about the fit_to_model coords

* Adjust FLowSystem IO for scenarios

* BUGFIX: Raise Exception instead of logging

* Change usage of TimeSeriesData

* Adjust logic to handle non scalars

* Adjust logic to _resolve_dataarray_reference into separate method

* Update IO of FlowSystem

* Improve get_coords()

* Adjust FlowSystem init for correct IO

* Add scenario to sel and isel methods, and dont normalize scenario weights

* Improve scenario_weights_handling

* Add warning for not scaled weights

* Update test_scenarios.py

* Improve util method

* Add objective to solution dataset.

* Update handling of scenario_weights update tests

* Ruff check. Fix type hints

* Fix type hints and improve None handling

* Fix coords in AggregatedCalculation

* Improve Error Messages of DataConversion

* Allow multi dim data conversion and broadcasting by length

* Improve DataConverter to handle multi-dim arrays

* Rename methods and remove unused code

* Improve DataConverter by better splitting handling per datatype. Series only matches index (for one dim). Numpy matches shape

* Add test for error handling

* Update scenario example

* Fix Handling of TimeSeriesData

* Improve DataConverter

* Fix resampling of the FlowSystem

* Improve Warning Message

* Add example that leverages resampling

* Add example that leverages resampling adn fixing of Investments

* Add flag to Calculation if its modeled

* Make flag for connected_and_transformed FLowSystem public

* Make Calcualtion Methods return themselfes to make them chainable

* Improve example

* Improve Unreleased CHANGELOG.md

* Add year coord to FlowSystem

* Improve dimension handling

* Change plotting to use an indexer instead

* Change plotting to use an indexer instead

* Use tuples to set dimensions in Models

* Bugfix in validation logic and test

* Improve Errors

* Improve weights handling and rescaling if None

* Fix typehint

* Update Broadcasting in Storage Bounds and improve type hints

* Make .get_model_coords() return an actual xr.Coordinates Object

* Improve get_coords()

* Rename SystemModel to FlowSystemModel

* First steps

* Improve Feature Patterns

* Improve acess to variables via short names

* Improve

* Add naming options to big_m_binary_bounds()

* Fix and improve FLowModeling with Investment

* Improve

* Tyring to improve the Methods for bounding variables in different scenarios

* Improve BoundingPatterns

* Improve BoundingPatterns

* Improve BoundingPatterns

* Fix duration Modeling

* Fix On + Size

* Fix InvestmentModel

* Fix Models

* Update constraint names in test

* Fix OnOffModel for multiple Flows

* Update constraint names in tests

* Simplify

* Improve handling of vars/cons and models

* Revising the basic structure of a class Model

* Revising the basic structure of a class Model

* Simplify and focus more on own Model class

* Update tests

* Improve state computation in ModelingUtilities

* Improve handling of previous flowrates

* Imropove repr and submodel acess

* Update access pattern in tests

* Fix PiecewiseEffects and StorageModel

* Fix StorageModel and Remove PreventSimultaniousUseModel

* Fix Aggregation and SegmentedCalculation

* Update tests

* Loosen precision in tests

* Update test_on_hours_computation.py and some types

* Rename class Model to Submodel

* rename sub_model to submodel everywhere

* rename self.model to self.submodel everywhere

* Rename .model with .submodel if its only a submodel

* Rename .sub_models with .submodels

* Improve repr

* Improve repr

* Include def  do_modeling() into __init__() of models

* Make properties private

* Improve Inheritance of Models

* V3.0.0/plotting (#285)

* Use indexer to reliably plot solutions with and wihtout scenarios/years

* ruff check

* Improve typehints

* Update CHANGELOG.md

* Bugfix from renaming to .submodel

* Bugfix from renaming to .submodel

* Improve indexer in results plotting

* rename register_submodel() to .add_submodels() adn add SUbmodels collection class

* Add nice repr to FlowSystemModel and Submodel

* Bugfix .variables and .constraints

* Add type checks to modeling.py

* Improve assertion in tests

* Improve docstrings and register ElementModels directly in FlowSystemModel

* Improve __repr__()

* ruff check

* Use new method to compare sets in tests

* ruff check

* Update Contribute.md, some dependencies and add pre-commit

* Pre commit hook

* Run Pre-Commit Hook for the first time

* Fix link in README.md

* Update Effect name in tests to be 'costs' instead of 'Costs' Everywhere
Simplify testing by creating a Element Library

* Improve some of the modeling and coord handling

* Add tests with years and scenarios

* Update tests to run with multiple coords

* Fix Effects dataset computation in case of empty effects

* Update Test for multiple dims
Fix Dim order in scaled_bounds_with_state
Bugfix logic in .use_switch_on

* Fix test with multiple dims

* Fix test with multiple dims

* New test

* New test for previous flow_rates

* V3.0.0/main fit to model coords improve (#295)

* Change fit_to_model_coords to work with a Collection of dims

* Improve fit_to_model_coords

* Improve CHANGELOG.md

* Update pyproject.toml

* new ruff check

* Merge branch 'main' into dev

# Conflicts:
#	CHANGELOG.md
#	flixopt/network_app.py

* Update CHANGELOG.md

* Fix Error message

* Revert changes

* Feature/v3/update (#352)

* Remove need for timeseries with extra timestep

* Simplify IO of FLowSystem

* Remove parameter timesteps from IO

* Improve Exceptions and Docstrings

* Improve isel sel and resample methods

* Change test

* Bugfix

* Improve

* Improve

* Add test for Storage Bounds

* Add test for Storage Bounds

* CHANGELOG.md

* ruff check

* Improve types

* CHANGELOG.md

* Bugfix in Storage

* Revert changes in example_calculation_types.py

* Revert changes in simple_example.py

* Add convenient access to Elements in FlowSystem

* Get Aggregated Calculation Working

* Segmented running with wrong results

* Use new persistent FLowSystem to create Calculations upfront

* Improve SegmentedCalcualtion

* Improve SegmentedCalcualtion

* Fix SegmentedResults IO

* ruff check

* Update example

* Updated logger essages to use .label_full instead of .label

* Re-add parameters. Use deprecation warning instead

* Update changelog

* Improve warning message

* Merge

* Merge

* Fit scenario weights to model coords when transforming

* Merge

* Removing logic between minimum, maximum and fixed size from InvestParameters

* Remove selected_timesteps

* Improve TypeHints

* New property on InvestParameters for min/max/fixed size

* Move logic for InvestParameters in Transmission to from Model to Interface

* Make transformation of data more hierarchical (Flows after Components)

* Add scenario validation

* Change Transmission to have a "balanced" attribute. Change Tests accordingly

* Improve index validations

* rename method in tests

* Update DataConverter

* Add DataFrame Support back

* Add copy() to DataConverter

* Update fit_to_model_coords to take a list of coords

* Make the DataConverter more universal by accepting a list of coords/dims

* Update DataConverter for n-d arrays

* Update DataConverter for n-d arrays

* Add extra tests for 3-dims

* Add FLowSystemDimension Type

* Revert some logic about the fit_to_model coords

* Adjust FLowSystem IO for scenarios

* BUGFIX: Raise Exception instead of logging

* Change usage of TimeSeriesData

* Adjust logic to handle non scalars

* Adjust logic to _resolve_dataarray_reference into separate method

* Update IO of FlowSystem

* Improve get_coords()

* Adjust FlowSystem init for correct IO

* Add scenario to sel and isel methods, and dont normalize scenario weights

* Improve scenario_weights_handling

* Add warning for not scaled weights

* Update test_scenarios.py

* Improve util method

* Add objective to solution dataset.

* Update handling of scenario_weights update tests

* Ruff check. Fix type hints

* Fix type hints and improve None handling

* Fix coords in AggregatedCalculation

* Improve Error Messages of DataConversion

* Allow multi dim data conversion and broadcasting by length

* Improve DataConverter to handle multi-dim arrays

* Rename methods and remove unused code

* Improve DataConverter by better splitting handling per datatype. Series only matches index (for one dim). Numpy matches shape

* Add test for error handling

* Update scenario example

* Fix Handling of TimeSeriesData

* Improve DataConverter

* Fix resampling of the FlowSystem

* Improve Warning Message

* Add example that leverages resampling

* Add example that leverages resampling adn fixing of Investments

* Add flag to Calculation if its modeled

* Make flag for connected_and_transformed FLowSystem public

* Make Calcualtion Methods return themselfes to make them chainable

* Improve example

* Improve Unreleased CHANGELOG.md

* Add year coord to FlowSystem

* Improve dimension handling

* Change plotting to use an indexer instead

* Change plotting to use an indexer instead

* Use tuples to set dimensions in Models

* Bugfix in validation logic and test

* Improve Errors

* Improve weights handling and rescaling if None

* Fix typehint

* Update Broadcasting in Storage Bounds and improve type hints

* Make .get_model_coords() return an actual xr.Coordinates Object

* Improve get_coords()

* Rename SystemModel to FlowSystemModel

* First steps

* Improve Feature Patterns

* Improve acess to variables via short names

* Improve

* Add naming options to big_m_binary_bounds()

* Fix and improve FLowModeling with Investment

* Improve

* Tyring to improve the Methods for bounding variables in different scenarios

* Improve BoundingPatterns

* Improve BoundingPatterns

* Improve BoundingPatterns

* Fix duration Modeling

* Fix On + Size

* Fix InvestmentModel

* Fix Models

* Update constraint names in test

* Fix OnOffModel for multiple Flows

* Update constraint names in tests

* Simplify

* Improve handling of vars/cons and models

* Revising the basic structure of a class Model

* Revising the basic structure of a class Model

* Simplify and focus more on own Model class

* Update tests

* Improve state computation in ModelingUtilities

* Improve handling of previous flowrates

* Imropove repr and submodel acess

* Update access pattern in tests

* Fix PiecewiseEffects and StorageModel

* Fix StorageModel and Remove PreventSimultaniousUseModel

* Fix Aggregation and SegmentedCalculation

* Update tests

* Loosen precision in tests

* Update test_on_hours_computation.py and some types

* Rename class Model to Submodel

* rename sub_model to submodel everywhere

* rename self.model to self.submodel everywhere

* Rename .model with .submodel if its only a submodel

* Rename .sub_models with .submodels

* Improve repr

* Improve repr

* Include def  do_modeling() into __init__() of models

* Make properties private

* Improve Inheritance of Models

* V3.0.0/plotting (#285)

* Use indexer to reliably plot solutions with and wihtout scenarios/years

* ruff check

* Improve typehints

* Update CHANGELOG.md

* Bugfix from renaming to .submodel

* Bugfix from renaming to .submodel

* Improve indexer in results plotting

* rename register_submodel() to .add_submodels() adn add SUbmodels collection class

* Add nice repr to FlowSystemModel and Submodel

* Bugfix .variables and .constraints

* Add type checks to modeling.py

* Improve assertion in tests

* Improve docstrings and register ElementModels directly in FlowSystemModel

* Improve __repr__()

* ruff check

* Use new method to compare sets in tests

* ruff check

* Update Contribute.md, some dependencies and add pre-commit

* Pre commit hook

* Run Pre-Commit Hook for the first time

* Fix link in README.md

* Update Effect name in tests to be 'costs' instead of 'Costs' Everywhere
Simplify testing by creating a Element Library

* Improve some of the modeling and coord handling

* Add tests with years and scenarios

* Update tests to run with multiple coords

* Fix Effects dataset computation in case of empty effects

* Update Test for multiple dims
Fix Dim order in scaled_bounds_with_state
Bugfix logic in .use_switch_on

* Fix test with multiple dims

* Fix test with multiple dims

* New test

* New test for previous flow_rates

* Add Model for YearAwareInvestments

* Add FlowSystem.years_per_year attribute and "years_of_last_year" parameter to FlowSystem()

* Add YearAwareInvestmentModel

* Add new Interface

* Improve YearAwareInvestmentModel

* Rename and improve

* Move piecewise_effects

* COmbine TImingInvestment into a single interface

* Add model tests for investment

* Add size_changes variables

* Add size_changes variables

* Improve InvestmentModel

* Improve InvestmentModel

* Rename parameters

* remove old code

* Add a duration_in_years to the InvestTimingParameters

* Improve handling of fixed_duration

* Improve validation and make Investment/divestment optional by default

* Rename some vars and improve previous handling

* Add validation for previous size

* Change fit_to_model_coords to work with a Collection of dims

* Improve fit_to_model_coords

* Improve test

* Update transform_data()

* Add new "year of investment" coord to FlowSystem

* Add 'year_of_investment' dimension to FlowSystem

* Improve InvestmentTiming

* Improve InvestmentTiming

* Add specific_effect back

* add effects_by_investment_year back

* Add year_of_investment to FLowSystem.sel()

* Improve Interface

* Handle selection of years properly again

* Temp

* Make ModelingPrimitives.consecutive_duration_tracking() dim-agnostic

* Use new lifetime variable and constraining methods

* Improve Plausibility check

* Improve InvestmentTImingParameters

* Improve weights

* Adjust test

* Remove old classes

* V3.0.0/main fit to model coords improve (#295)

* Change fit_to_model_coords to work with a Collection of dims

* Improve fit_to_model_coords

* ruff format

* Revert changes

* Update type hints

* Revert changes introduced by new Multiperiod Invest parameters

* Improve CHnagelog and docstring of Storage

* Improve Changelog

* Improve InvestmentModel

* Improve InvestmentModel to have 2 cases. One without years and one with

* Improve InvestmentModel to have 2 cases. One without years and one with years. Further, remove investment_scenarios parameter

* Revert some changes regarding Investments

* Typo

* Remove Investment test file (only local testing)

* More reverted changes

* More reverted changes

* Add years_of_last_year to docstring

* Revert change from Investment

* Revert change from Investment

* Remove old todos.txt file

* Fix typos in CHANGELOG.md

* Improve usage of name_prefix to intelligently join with the label

* Ensure IO of years_of_last_year

* Typo

* Typo

* activat tests on pulls to feature/v3

* activat tests on pulls to feature/v3/main

* Feature/v3/low-impact-improvements (#355)

* Fix typo

* Prefer robust scalar extraction for timestep sizes in aggregation

* Improve docs and error messages

* Update examples

* Use validated timesteps

* Remove unnessesary import

* Use FlowSystem.model instead of FlowSystem.submodel

* Fix Error message

* Improve CHANGELOG.md

* Use self.standard_effect instead of provate self._standard_effect and update docstring

* in calculate_all_conversion_paths, use `collections.deque` for efficiency on large graphs

* Make aggregation_parameters.hours_per_period more robust by using rounding

* Improve import and typos

* Improve docstring

* Use validated timesteps

* Improve error

* Improve warning

* Improve type hint

* Improve CHANGELOG.md: typos, wording and duplicate entries

* Improve CI (#357)

Separate example testing from other tests by marking them. By default, purest doesn't run the example tests

* Feature/v3/data converter (#356)

* Update DataConverter

* Update tests of error messages

* Update tests of error messages

* Update Dataconverter to allow bool values

* fix tests

* Improve code order of prefix in transform_data()

* Move pytest-xdist to dev deps

* Fix transform_data to not pass a prefix to flow

* Move to unreleased

Add emojis to CHANGELOG.md

* Feature/v3/feature/308 rename effect domains (#365)

* Rename effect domains

* Rename effect domains

* Ensure backwards compatability

* Improve

* Improve

* Bugfix IO with deprectaed params

* Add guards for extra kwargs

* Add guards for extra kwargs

* centralize logic for deprectaed params

* Move handlign from centralized back to classes in a dedicated method

* Improce property handling

* Move handling to Interface class

* Getting lost

* Revert "Getting lost"

This reverts commit 3c0db76.

* Revert "Move handling to Interface class"

This reverts commit 09bdeec.

* Revert "Improce property handling"

This reverts commit 5fe2c64.

* Revert "Move handlign from centralized back to classes in a dedicated method"

This reverts commit 9f4c1f6.

* Revert "centralize logic for deprectaed params"

This reverts commit 4a82574.

* Add "" to warnings

* Revert change in examples

* Improve BackwardsCompatibleDataset

* Add unit tests for backwards compatability

* Remove backwards compatible dataset

* Renamed maximum_temporal_per_hour to maximum_per_hour and minimum_temporal_per_hour to minimum_per_hour

* Add entires to CHANGELOG.md

* Remove backwards compatible dataset

* Remove unused imports

* Move to unreleased

* Catch up on missed renamings from merge

* Catch up on missed renamings from merge

* Typo

* Typo

* Several small improvements or potential future bug preventions

* Feature/v3/feature/305 rename specific share to other effects  to specific share from effect (#366)

* Step 1

* Bugfix

* Make fit_effects_to_model_coords() more flexible

* Fix dims

* Update conftest.py

* Typos

* Improve Effect examples

* Add extra validation for Effect Shares

* Feature/v3/feature/367 rename year dimension to period (#370)

* The framework now uses "period" instead of "year" as the dimension name and "periodic" instead of "nontemporal" for the effect domain

* Update CHANGELOG.md

* Remove periods_of_last_period parameter and adjust weights calculation

* Bugfix

* Bugfix

* Switch from "as_time_series": bool to "dims": [time, period, scenario] arguments

* Improve normalization of weights

* Update tests

* Typos in docs

* Improve docstrings

* Improve docstrings

* Update CHANGELOG.md

* Improved tests: added extra time+scenarios combination

* Add rename and improve CHANGELOG.md

* Made CHANGELOG.md more concise

* Simplify array summation and improve `np.isclose` usage in `modeling` and `aggregation` modules.

* Make storage and load profile methods flexible by introducing `timesteps_length` parameter; update test configurations accordingly.

* Refine error messages in `ModelingPrimitives` to correctly reference updated method names.

* Enhance test fixtures by adding `ids` for parameterized tests, improve input flexibility with dynamic timestep length, and refine error message sorting logic.

* Refactor variable selection and constraint logic in `aggregation.py` for handling more than only a time dimension

* Adjust constraint in `aggregation.py` to enforce stricter summation limit (1 instead of 1.1)

* Reverse transition constraint inequality for consistency in `modeling.py`.

* Update dependency to use h5netcdf instead of netcdf4

* Feature/v3/several improvements (#372)

* Update deprecated properties to use new aggregation attributes in `core.py`.

* Refactor `drop_constant_arrays` in `core.py` to improve clarity, add type hints, and enhance logging for dropped variables.

* Bugfix example_calculation_types.py and two_stage_optimization.py

* Use time selection more explicitly

* Refactor plausibility checks in `components.py` to handle string-based `initial_charge_state` more robustly and simplify capacity bounds retrieval using `InvestParameters`.

* Refactor `create_transmission_equation` in `components.py` to handle `relative_losses` gracefully when unset and simplify the constraint definition.

* Update pytest `addopts` formatting in `pyproject.toml` to work with both unix and windows

* Refine null value handling when resolving dataarrays` to check for 'time' dimension before dropping all-null values.

* Refactor flow system restoration to improve exception handling and ensure logger state resets.

* Refactor imports in `elements.py` to remove unused `ModelingPrimitives` from `features` and include it from `modeling` instead.

* Refactor `count_consecutive_states` in `modeling.py` to enhance documentation, improve edge case handling, and simplify array processing.

* Refactor `drop_constant_arrays` to handle NaN cases with `skipna` and sort dropped variables for better logging; streamline logger state restoration in `results.py`.

* Temp

* Improve NAN handling in count_consecutive_states()

* Refactor plausibility checks in `components.py` to prevent initial capacity from constraining investment decisions and improve error messaging.

* Feature/v3/feature/no warnings in tests (#373)

* Refactor examples to not use deprectaed patterns

* Refactor tests to replace deprecated `sink`/`source` properties with `inputs`/`outputs` in component definitions.

* Use 'h' instead of deprectaed 'H' in coordinate freq in tests; adjust `xr.concat` in `results.py` to use `join='outer'` for safer merging.

* Refactor plot tests to use non-interactive backends, save plots as files, and close figures to prevent memory leaks.

* Refactor plot tests to use non-interactive Plotly renderer (`json`), add cleanup with `tearDown`, and ensure compatibility with non-interactive Matplotlib backends.

* Configure pytest filters to treat most warnings as errors, ignore specific third-party warnings, and display all warnings from internal code.

* Revert "Configure pytest filters to treat most warnings as errors, ignore specific third-party warnings, and display all warnings from internal code."

This reverts commit 0928b26.

* Refactor plotting logic to prevent memory leaks, improve backend handling, and add test fixtures for cleanup and non-interactive configurations.

* Update pytest filterwarnings to treat most warnings as errors, ignore specific third-party warnings, and display all internal warnings.

* Suppress specific third-party warnings in `__init__.py` to reduce noise for end users.

* Update pytest warning filters: treat internal warnings as errors, revert treating most third-party warnings as errors.

* Suppress additional third-party warnings in `__init__.py` to minimize runtime noise.

* Update pytest warning filters: suppress specific third-party warnings and add detailed context for `__init__.py` filters.

* Sync and consolidate third-party warning filters in `__init__.py` and `pyproject.toml` to suppress runtime noise effectively.

* Expand and clarify third-party warning filters in `__init__.py` and `pyproject.toml` for improved runtime consistency and reduced noise.

* Update deprecated code in tests

* Refactor backend checks in `plotting.py` and streamline test fixtures for consistency in handling non-interactive backends.

* Refactor plotting logic to handle test environments explicitly, remove unused Plotly configuration, and improve figure cleanup in tests.

* Add entry to CHANGELOG.md

* Typos in example

* Reogranize Docs (#377)

* Improve effects parameter naming in InvestParameters (#389)

* FIrst Try

* Improve deprecation

* Update usage of deprectated parameters

* Improve None handling

* Add extra kwargs handling

* Improve deprecation

* Use custom method for kwargs

* Add deprecation method

* Apply deprecation method to other classes

* Apply to effects.py as well

* Update usage of deprectaed parameters

* Update CHANGELOG.md

* Update Docs

* Feature/v3/feature/test examples dependent (#390)

* Update example test to run dependent examples in order

* Update example test to run dependent examples in order

* Update CHANGELOG.md

* Improve test directory handling

* Improve test directory handling

* Typo

* Feature/v3/feature/rename investparameter optional to mandatory (#392)

* Change .optional to .mandatory

* Change .optional to .mandatory

* Remove not needed properties

* Improve deprectation warnings

* Improve deprectation of "optional"

* Remove all usages of old "optional" parameter in code

* Typo

* Imrpove readability

* Adjust some logging levels

* Add scenarios and periods to repr and str of FlowSystem

* Feature/v3/feature/386 use better default logging colors and dont log to file by default (#394)

* Fix `charge_state` Constraint in `Storage` leading to incorrect losses in discharge and therefore incorrect charge states and discharge values (#347)

* Fix equation in Storage

* Fix test for equation in Storage

* Update CHANGELOG.md

* Improve Changelog Message

* Fix CHANGELOG.md

* Simplify changes from next release

* Update CHANGELOG.md

* Fix CHANGELOG.md

* chore(deps): update dependency mkdocs-material to v9.6.20 (#369)

Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>

* Improve renovate.json to automerge ruff despite 0.x version

* chore(deps): update dependency tsam to v2.3.9 (#379)

Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>

* chore(deps): update dependency ruff to v0.13.2 (#378)

Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>

* Feature/Improve Configuration options and handling (#385)

* Refactor configuration management: remove dataclass-based schema and simplify CONFIG structure.

* Refactor configuration loading: switch from `os` to `pathlib`, streamline YAML loading logic.

* Refactor logging setup: split handler creation into dedicated functions, simplify configuration logic.

* Improve logging configurability and safety

- Add support for `RotatingFileHandler` to prevent large log files.
- Introduce `console` flag for optional console logging.
- Default to `NullHandler` when no handlers are configured for better library behavior.

* Temp

* Temp

* Temp

* Temp

* Temp

* Temp

* Refactor configuration and logging: remove unused `merge_configs` function, streamline logging setup, and encapsulate `_setup_logging` as an internal function.

* Remove unused `change_logging_level` import and export.

* Add tests for config.py

* Expand `config.py` test coverage: add tests for custom config loading, logging setup, dict roundtrip, and attribute modification.

* Expand `test_config.py` coverage: add modeling config persistence test, refine logging reset, and improve partial config load assertions.

* Expand `test_config.py` coverage: add teardown for state cleanup and reset modeling config in setup.

* Add `CONFIG.reset()` method and expand test coverage to verify default restoration

* Refactor `CONFIG` to centralize defaults in `_DEFAULTS` and ensure `reset()` aligns with them; add test to verify consistency.

* Refactor `_DEFAULTS` to use `MappingProxyType` for immutability, restructure config hierarchy, and simplify `reset()` implementation for maintainability; update tests accordingly.

* Mark `TestConfigModule` tests to run in a single worker with `@pytest.mark.xdist_group` to prevent global config interference.

* Add default log file

* Update CHANGELOG.md

* Readd change_logging_level() for backwards compatability

* Add more options to config.py

* Add a docstring to config.y

* Add a docstring to config.y

* rename parameter message_format

* Improve color config

* Improve color config

* Update CHANGELOG.md

* Improve color handling

* Improve color handling

* Remove console Logging explicityl from examples

* Make log to console the default

* Make log to console the default

* Add individual level parameters for console and file

* Add extra Handler section

* Use dedicated levels for both handlers

* Switch back to not use Handlers

* Revert "Switch back to not use Handlers"

This reverts commit 05bbccb.

* Revert "Use dedicated levels for both handlers"

This reverts commit ed0542b.

* Revert "Add extra Handler section"

This reverts commit a133cc8.

* Revert "Add individual level parameters for console and file"

This reverts commit 19f81c9.

* Fix CHANGELOG.md

* Update CHANGELOG.md

* Fix CHANGELOG.md

* Allow blank issues

* Change default logging behaviour to other colors and no file logging

* Use white for INFO

* Use terminal default for INFO

* Explicitly use stdout for StreamHandler

* Use terminal default for Logging color

* Add option for loggger name

* Update CHANGELOG.md

* Ensure custom formats are being applied

* Catch empty config files

* Update test to match new defaults

---------

Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>

* Fix warnings filter

* Remove config file (#391)

* Remove config file

* Remove yaml in MANIFEST.in

* Improve config console logger: Allow stderr and improve multiline format (#395)

* Add some validation to config.py

* Improve file Permission handling in config.py

* Remove unwanted return

* Improve Docstrings in config.py

* Improve Docstrings in config.py

* Typo

* Use code block in docstring

* Allow stderr for console logging

* Make docstrings more compact

* Make docstrings more compact

* Updated to actually use stderr

* Simplify format()

* Improve format

* Add extra validation

* Update CHANGELOG.md

* Feature/v3/feature/381 feature equalize sizes and or flow rates between scenarios (#396)

* First try

* Centralize in FlowSystem

* Add centralized handling

* Logical Bug

* Add to IO

* Add test

* Add some error handling and logging

* Rename variable

* Change parameter naming

* Remove not needed method

* Refactor to reduce duplication

* Change defaults

* Change defaults

* Change defaults

* Update docs

* Update docs

* Update docs

* Update docs

* Feature/v3/feature/Linked investments over multiple periods

* Reorganize InvestmentParameters to always create the binary investment variable

* Add new variable that indicates wether investment was taken, independent of period and allow linked periods

* Improve Handling of linked periods

* Improve Handling of linked periods

* Add examples

* Typos

* Fix: reference invested only after it exists

* Improve readbility of equation

* Update from Merge

* Improve InvestmentModel

* Improve readability

* Improve readability and reorder methods

* Improve logging

* Improve InvestmentModel

* Rename to "invested"

* Update CHANGELOG.md

* Bugfix

* Improve docstring

* Improve InvestmentModel to be more inline with the previous Version

* Improve Exceptions and add a meaningfull comment in InvestParameters

* Typo

* Feature/v3/feature/common resources in examples (#401)

* Typo

* Typos in scenario_example.py

* Improve data files in examples

* Improve data files in examples

* Handle local install more gracefully with __version__

* Remove bad example

* Increase timeout in examples

* Improve test_examples.py

* Improve example

* Fixx Error message in test

* Fix: Dependecy issue with python 3.10

* run ci on more branches if there are prs

* Minor improvements and Update to the CHANGELOG.md

* Feature/v3/feature/last minute improvements (#403)

* Typos oin CHANGELOG.md

* Add error handling in exmaple

* Surface warnings during tests (avoid hiding deprecations)

* Add missing docs file

* Imrpve Releasnotes of v2.2.0

* Improve docs

* Remove some filterwarnings from tsam

---------

Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
@FBumann FBumann deleted the feature/v3/feature/308-rename-effect-domains-final branch October 13, 2025 21:35
This was referenced Nov 22, 2025
@coderabbitai coderabbitai bot mentioned this pull request Jan 7, 2026
9 tasks
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

2 participants