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WalkthroughThe changes optimize the FlowSystem resampling operation by introducing dimension-group-aware resampling. A new private helper method groups time-dimensioned variables by their non-time dimensions and resamples each group independently to avoid unnecessary NaN broadcasting. Validation of resampling methods and preservation of timestep attributes are added to the resample flow. Changes
Sequence Diagram(s)sequenceDiagram
actor User
participant resample as resample()
participant split as Split Variables
participant group as _resample_by_dimension_groups()
participant merge as Merge Results
User->>resample: resample(time_dataset, method, ...)
resample->>resample: Validate method
resample->>split: Separate time-dimensioned vars<br/>from non-time-dimensioned vars
split-->>resample: time_vars, other_vars
resample->>group: Process time_vars by<br/>dimension groups
group->>group: Group by non-time dimensions
group->>group: Resample each group independently
group-->>resample: resampled_time_dataset
resample->>merge: Merge time_dataset + other_vars
merge-->>resample: merged_dataset
resample->>resample: Preserve/set timestep attributes
resample-->>User: final_dataset
Estimated code review effort🎯 2 (Simple) | ⏱️ ~10 minutes
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♻️ Duplicate comments (1)
flixopt/flow_system.py (1)
1033-1042: Critical: Address the previously identified crashes from concat and empty merge.The issues flagged in the previous review are still present:
Line 1035-1037:
xr.concatwith defaultcombine_attrs='no_conflicts'will raiseMergeErrorwhen variables have different attributes (e.g.,units,long_name), which is typical for FlowSystem datasets.Line 1042:
xr.merge([])will raiseValueErrorwhenresampled_groupsis empty, which occurs when the FlowSystem has no time-dependent variables.The previous review provided a fix that resolves both issues by resampling datasets directly and handling the empty case.
Apply this diff to fix both issues:
+ if not dim_groups: + return getattr(time_dataset.resample(time=time, **kwargs), method)() + resampled_groups = [] for var_names in dim_groups.values(): - stacked = xr.concat( - [time_dataset[name] for name in var_names], - dim=pd.Index(var_names, name='variable'), - ) - resampled = getattr(stacked.resample(time=time, **kwargs), method)() - resampled_groups.append(resampled.to_dataset(dim='variable')) + grouped_dataset = time_dataset[var_names] + resampled_group = getattr(grouped_dataset.resample(time=time, **kwargs), method)() + resampled_groups.append(resampled_group) return xr.merge(resampled_groups)This keeps the performance optimization while avoiding attribute conflicts and empty merge errors.
🧹 Nitpick comments (1)
flixopt/flow_system.py (1)
1077-1080: Consider moving method validation earlier for fail-fast behavior.The method validation is correct and provides a clear error message. As a minor optimization, you could move this validation to the beginning of the method (right after line 1067) to fail before any data processing. However, the current placement is acceptable since it still fails before the expensive resampling operation.
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🔇 Additional comments (2)
flixopt/flow_system.py (2)
9-9: LGTM!The
defaultdictimport is correctly placed and used for grouping variables by dimensions in the new resampling logic.
1071-1090: Clean separation of concerns.The refactored resampling logic correctly:
- Separates time-dependent from non-time variables
- Validates the resampling method before processing
- Resamples only time-dependent variables using the grouped helper
- Preserves non-time variables unchanged
- Merges results appropriately
This approach is sound and will work correctly once the critical issues in
_resample_by_dimension_groupsare resolved.
1 participant
Description
Speed up resampling of a FlowSystem by 20-40x by concatenating to
xr.DataArraybefore resamplingType of Change
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