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02d944030f
- Start standardizing implementation of the `text_to_jsonl' processors
- `text_to_jsonl; scripts already had a shared structure
- This change starts to codify that implicit structure
- Benefits
- Ease adding more `text_to_jsonl; processors
- Allow merging shared functionality
- Help with type hinting
- Drawbacks
- Lower agility to change. But this was already an implicit issue as
the text_to_jsonl processors got more deeply wired into the app
115 lines
3.9 KiB
Python
115 lines
3.9 KiB
Python
# Standard Packages
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import json
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# Internal Packages
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from src.processor.ledger.beancount_to_jsonl import BeancountToJsonl
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def test_no_transactions_in_file(tmp_path):
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"Handle file with no transactions."
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# Arrange
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entry = f'''
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- Bullet point 1
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- Bullet point 2
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'''
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beancount_file = create_file(tmp_path, entry)
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# Act
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# Extract Entries from specified Beancount files
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entry_nodes, file_to_entries = BeancountToJsonl.extract_beancount_transactions(beancount_files=[beancount_file])
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# Process Each Entry from All Beancount Files
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jsonl_string = BeancountToJsonl.convert_transaction_maps_to_jsonl(
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BeancountToJsonl.convert_transactions_to_maps(entry_nodes, file_to_entries))
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jsonl_data = [json.loads(json_string) for json_string in jsonl_string.splitlines()]
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# Assert
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assert len(jsonl_data) == 0
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def test_single_beancount_transaction_to_jsonl(tmp_path):
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"Convert transaction from single file to jsonl."
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# Arrange
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entry = f'''
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1984-04-01 * "Payee" "Narration"
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Expenses:Test:Test 1.00 KES
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Assets:Test:Test -1.00 KES
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'''
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beancount_file = create_file(tmp_path, entry)
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# Act
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# Extract Entries from specified Beancount files
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entries, entry_to_file_map = BeancountToJsonl.extract_beancount_transactions(beancount_files=[beancount_file])
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# Process Each Entry from All Beancount Files
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jsonl_string = BeancountToJsonl.convert_transaction_maps_to_jsonl(
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BeancountToJsonl.convert_transactions_to_maps(entries, entry_to_file_map))
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jsonl_data = [json.loads(json_string) for json_string in jsonl_string.splitlines()]
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# Assert
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assert len(jsonl_data) == 1
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def test_multiple_transactions_to_jsonl(tmp_path):
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"Convert multiple transactions from single file to jsonl."
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# Arrange
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entry = f'''
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1984-04-01 * "Payee" "Narration"
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Expenses:Test:Test 1.00 KES
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Assets:Test:Test -1.00 KES
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\t\r
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1984-04-01 * "Payee" "Narration"
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Expenses:Test:Test 1.00 KES
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Assets:Test:Test -1.00 KES
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'''
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beancount_file = create_file(tmp_path, entry)
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# Act
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# Extract Entries from specified Beancount files
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entries, entry_to_file_map = BeancountToJsonl.extract_beancount_transactions(beancount_files=[beancount_file])
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# Process Each Entry from All Beancount Files
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jsonl_string = BeancountToJsonl.convert_transaction_maps_to_jsonl(
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BeancountToJsonl.convert_transactions_to_maps(entries, entry_to_file_map))
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jsonl_data = [json.loads(json_string) for json_string in jsonl_string.splitlines()]
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# Assert
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assert len(jsonl_data) == 2
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def test_get_beancount_files(tmp_path):
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"Ensure Beancount files specified via input-filter, input-files extracted"
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# Arrange
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# Include via input-filter globs
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group1_file1 = create_file(tmp_path, filename="group1-file1.bean")
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group1_file2 = create_file(tmp_path, filename="group1-file2.bean")
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group2_file1 = create_file(tmp_path, filename="group2-file1.beancount")
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group2_file2 = create_file(tmp_path, filename="group2-file2.beancount")
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# Include via input-file field
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file1 = create_file(tmp_path, filename="ledger.bean")
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# Not included by any filter
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create_file(tmp_path, filename="not-included-ledger.bean")
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create_file(tmp_path, filename="not-included-text.txt")
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expected_files = sorted(map(str, [group1_file1, group1_file2, group2_file1, group2_file2, file1]))
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# Setup input-files, input-filters
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input_files = [tmp_path / 'ledger.bean']
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input_filter = [tmp_path / 'group1*.bean', tmp_path / 'group2*.beancount']
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# Act
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extracted_org_files = BeancountToJsonl.get_beancount_files(input_files, input_filter)
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# Assert
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assert len(extracted_org_files) == 5
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assert extracted_org_files == expected_files
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# Helper Functions
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def create_file(tmp_path, entry=None, filename="ledger.beancount"):
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beancount_file = tmp_path / filename
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beancount_file.touch()
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if entry:
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beancount_file.write_text(entry)
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return beancount_file
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