Comments (4)
yes, I agree. Maybe an abstract class SmartImporterDecorator
?
Note: This is quite similar to what is needed for #45, i.e., to split the code into multiple methods that can be overwritten by users by subclassing the decorators, e.g., in order to add an additional input to the machine learning pipeline.
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Yes that's exactly what I think.
It should also help with #34
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I'll give the refactoring a try, i hope I'll find enough time this weekend.
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work in progress in branch feature/refs-47-refactoring
, also see according pull request #49
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Related Issues (20)
- Checker for potential mistakes HOT 1
- Passing too many arguments to extract() HOT 1
- I can't manage to have smart_importer working HOT 6
- Remove suggestions because suggest=True adds list as metadata which is invalid HOT 7
- Bypass specific transactions. HOT 4
- please provide the hook helpers as an own package HOT 2
- pylint fails, tox depends on wrong version of beancount? HOT 3
- Expose ImporterHook interface HOT 4
- Allow custom getters for attributes HOT 2
- Predict postings with amounts HOT 3
- Predict metadata (and tags) HOT 3
- Package working with python 3.6.12 but not with python 3.9 HOT 26
- ImportError undefined symbol _PyGen_Send HOT 2
- Unable to use smart_importer with beangulp Importers HOT 6
- release a v0.4 to pypi HOT 2
- How to pass in existing entries as training data other than the current bean file HOT 10
- Using `file_account()` to filter training data doesn't work for certain use cases HOT 4
- TAGS HOT 2
- Predictions might lead to original posting being switched to 2nd place after prediction
- Smart importer give duplicate asset postings
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