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chore: Add parse error test #702
base: feat-add-error-parser
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Actionable comments posted: 2
🧹 Outside diff range and nitpick comments (3)
tests/test_quickbooks_online/errors/test_helpers.py (3)
13-15
: Enhance test robustness and documentationWhile the test logic is correct, consider these improvements:
- Add a docstring describing the test purpose and expected behavior
- Validate that
error_msgs
andresult_dict_list
have matching lengths- Add assertions for input/output data types
- Include edge cases (empty strings, special characters)
def test_error_matcher(): + """ + Test error_matcher function matches error messages to their corresponding results. + Tests the mapping of various error message patterns to their structured representations. + """ + assert len(error_msgs) == len(result_dict_list), "Test data lists must have equal length" for index in range(len(error_msgs)): + assert isinstance(error_msgs[index], str), "Input must be a string" assert error_matcher(error_msgs[index]) == result_dict_list[index]
23-25
: Add validation and edge casesThe test needs similar improvements as the previous tests:
def test_replace_destination_id_with_values(): + """ + Test replace_destination_id_with_values function. + Verifies correct replacement of destination IDs with their corresponding values. + """ + assert len(input_strings) == len(output_strings) == len(replacements), "Test data lists must have equal length" for index in range(len(input_strings)): + assert isinstance(input_strings[index], str), "Input must be a string" + assert isinstance(replacements[index], dict), "Replacements must be a dictionary" assert replace_destination_id_with_values(input_strings[index], replacements[index]) == output_strings[index]Consider adding test cases for:
- Empty strings
- Empty replacement dictionary
- Missing replacement keys
- Special characters in strings
1-25
: Consider restructuring tests for better maintainabilityWhile the tests provide good coverage, consider these architectural improvements:
- Group related test cases using pytest parametrize to make the test structure more maintainable
- Add setup/teardown if needed for the db fixture
- Consider separating positive and negative test cases
- Add integration tests if these helpers are part of a larger workflow
Example of using parametrize:
import pytest @pytest.mark.parametrize("error_msg,expected_result", list(zip(error_msgs, result_dict_list))) def test_error_matcher(error_msg, expected_result): """Test error_matcher with various error messages.""" assert error_matcher(error_msg) == expected_result
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
📒 Files selected for processing (3)
apps/quickbooks_online/errors/helpers.py
(1 hunks)tests/test_quickbooks_online/errors/fixtures.py
(1 hunks)tests/test_quickbooks_online/errors/test_helpers.py
(1 hunks)
✅ Files skipped from review due to trivial changes (1)
- apps/quickbooks_online/errors/helpers.py
🔇 Additional comments (5)
tests/test_quickbooks_online/errors/test_helpers.py (2)
1-10
: Verify imported modules and fixtures
The imports are well-organized, but let's verify their existence and usage.
✅ Verification successful
Let's try a different approach to verify the imports since the previous commands didn't yield results. We'll use rg
to search for the functions and fixtures:
All imports are valid and properly used
The verification confirms that:
- All three helper functions (
error_matcher
,get_entity_values
,replace_destination_id_with_values
) exist in the specified module - All seven fixtures are properly defined in the fixtures file
- Each fixture is actively used in the test file's assertions
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Verify the existence of imported modules and fixtures
# Check if the helper functions exist in the specified module
echo "Checking helper functions..."
ast-grep --pattern 'def error_matcher' apps/quickbooks_online/errors/helpers.py
ast-grep --pattern 'def get_entity_values' apps/quickbooks_online/errors/helpers.py
ast-grep --pattern 'def replace_destination_id_with_values' apps/quickbooks_online/errors/helpers.py
# Check if all fixtures exist and are used
echo "Checking fixtures..."
ast-grep --pattern '(error_msgs|result_dict_list|error_dict|entity_result_dict_list|input_strings|output_strings|replacements) =' tests/test_quickbooks_online/errors/fixtures.py
Length of output: 568
Script:
#!/bin/bash
# Check helper functions with ripgrep
echo "Checking helper functions..."
rg "def (error_matcher|get_entity_values|replace_destination_id_with_values)" apps/quickbooks_online/errors/helpers.py
# Check fixtures
echo "Checking fixtures..."
rg "(error_msgs|result_dict_list|error_dict|entity_result_dict_list|input_strings|output_strings|replacements) =" tests/test_quickbooks_online/errors/fixtures.py
# Check usage of fixtures in test file
echo "Checking fixture usage..."
rg "(error_msgs|result_dict_list|error_dict|entity_result_dict_list|input_strings|output_strings|replacements)" tests/test_quickbooks_online/errors/test_helpers.py
Length of output: 1456
18-20
: 🛠️ Refactor suggestion
Clarify db fixture usage and magic number
The test has several areas for improvement:
- The
db
fixture is imported but not used in the test - The magic number
4
should be explained or made into a named constant - Similar robustness improvements as the previous test are needed
+from typing import Dict, Any
+
+MOCK_WORKSPACE_ID = 4 # Explain why this specific value is used
+
def test_get_entity_values(db):
+ """
+ Test get_entity_values function with mock workspace ID.
+ Verifies correct entity value extraction from error dictionaries.
+ """
+ assert len(error_dict) == len(entity_result_dict_list), "Test data lists must have equal length"
for index in range(len(error_dict)):
- assert get_entity_values(error_dict[index], 4) == entity_result_dict_list[index]
+ input_dict = error_dict[index]
+ assert isinstance(input_dict, Dict[str, Any]), "Input must be a dictionary"
+ assert get_entity_values(input_dict, MOCK_WORKSPACE_ID) == entity_result_dict_list[index]
Also, please clarify if the db
fixture is needed for this test. If not, it should be removed.
tests/test_quickbooks_online/errors/fixtures.py (3)
1-6
: LGTM! Well-structured test data.
The error messages follow a consistent format and cover different entity types appropriately.
1-48
: Well-structured and consistent test data.
The test fixtures maintain excellent consistency across all data structures:
- Entity types (ACCOUNT, CLASS, DEPARTMENT, VENDOR)
- ID mappings
- Error message transformations
29-48
: 🛠️ Refactor suggestion
Consolidate input strings and approve output format.
Three suggestions:
input_strings
duplicateserror_msgs
and should be consolidated- Consider using a constant for the error message format to ensure consistency
- The output format effectively enhances error messages with additional context
Consider this refactor:
-input_strings = [
- "Invalid Reference Id : Accounts element id 7 not found",
- "Invalid Reference Id : Klasses element id 5000000000000142240 not found",
- "Invalid Reference Id : Depts element id 2 not found",
- "Invalid Reference Id : Names element id 75 not found"
-]
+input_strings = error_msgs
+ERROR_FORMAT = "Invalid Reference Id : {error_attribute} => {attribute_type} element id {destination_id} => {value} not found"
+
+# Generate output_strings using the format
output_strings = [
- "Invalid Reference Id : Accounts => ACCOUNT element id 7 => Advertising not found",
- "Invalid Reference Id : Klasses => CLASS element id 5000000000000142240 => cc2 not found",
- "Invalid Reference Id : Depts => DEPARTMENT element id 2 => Bangalore not found",
- "Invalid Reference Id : Names => VENDOR element id 75 => SPEEDWAY not found"
+ ERROR_FORMAT.format(**mapping) for mapping in ENTITY_MAPPINGS
]
Likely invalid or redundant comment.
result_dict_list = [ | ||
{'attribute_type': 'ACCOUNT', 'destination_id': '7', 'error_attribute': 'Accounts', 'article_link': None}, | ||
{'attribute_type': 'CLASS', 'destination_id': '5000000000000142240', 'error_attribute': 'Klasses', 'article_link': None}, | ||
{'attribute_type': 'DEPARTMENT', 'destination_id': '2', 'error_attribute': 'Depts', 'article_link': None}, | ||
{'attribute_type': 'VENDOR', 'destination_id': '75', 'error_attribute': 'Names', 'article_link': None}, | ||
] | ||
|
||
error_dict = [ | ||
{'attribute_type': 'ACCOUNT', 'destination_id': '7', 'error_attribute': 'Accounts', 'article_link': None}, | ||
{'attribute_type': 'CLASS', 'destination_id': '5000000000000142240', 'error_attribute': 'Klasses', 'article_link': None}, | ||
{'attribute_type': 'DEPARTMENT', 'destination_id': '2', 'error_attribute': 'Depts', 'article_link': None}, | ||
{'attribute_type': 'VENDOR', 'destination_id': '75', 'error_attribute': 'Names', 'article_link': None}, | ||
] |
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🛠️ Refactor suggestion
Consider consolidating duplicate test data structures.
result_dict_list
and error_dict
contain identical data. This duplication could lead to maintenance issues if one is updated but not the other.
Consider this refactor:
-result_dict_list = [
- {'attribute_type': 'ACCOUNT', 'destination_id': '7', 'error_attribute': 'Accounts', 'article_link': None},
- {'attribute_type': 'CLASS', 'destination_id': '5000000000000142240', 'error_attribute': 'Klasses', 'article_link': None},
- {'attribute_type': 'DEPARTMENT', 'destination_id': '2', 'error_attribute': 'Depts', 'article_link': None},
- {'attribute_type': 'VENDOR', 'destination_id': '75', 'error_attribute': 'Names', 'article_link': None},
-]
-
-error_dict = [
+ERROR_MAPPINGS = [
{'attribute_type': 'ACCOUNT', 'destination_id': '7', 'error_attribute': 'Accounts', 'article_link': None},
{'attribute_type': 'CLASS', 'destination_id': '5000000000000142240', 'error_attribute': 'Klasses', 'article_link': None},
{'attribute_type': 'DEPARTMENT', 'destination_id': '2', 'error_attribute': 'Depts', 'article_link': None},
{'attribute_type': 'VENDOR', 'destination_id': '75', 'error_attribute': 'Names', 'article_link': None},
]
+
+result_dict_list = ERROR_MAPPINGS
+error_dict = ERROR_MAPPINGS
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
result_dict_list = [ | |
{'attribute_type': 'ACCOUNT', 'destination_id': '7', 'error_attribute': 'Accounts', 'article_link': None}, | |
{'attribute_type': 'CLASS', 'destination_id': '5000000000000142240', 'error_attribute': 'Klasses', 'article_link': None}, | |
{'attribute_type': 'DEPARTMENT', 'destination_id': '2', 'error_attribute': 'Depts', 'article_link': None}, | |
{'attribute_type': 'VENDOR', 'destination_id': '75', 'error_attribute': 'Names', 'article_link': None}, | |
] | |
error_dict = [ | |
{'attribute_type': 'ACCOUNT', 'destination_id': '7', 'error_attribute': 'Accounts', 'article_link': None}, | |
{'attribute_type': 'CLASS', 'destination_id': '5000000000000142240', 'error_attribute': 'Klasses', 'article_link': None}, | |
{'attribute_type': 'DEPARTMENT', 'destination_id': '2', 'error_attribute': 'Depts', 'article_link': None}, | |
{'attribute_type': 'VENDOR', 'destination_id': '75', 'error_attribute': 'Names', 'article_link': None}, | |
] | |
ERROR_MAPPINGS = [ | |
{'attribute_type': 'ACCOUNT', 'destination_id': '7', 'error_attribute': 'Accounts', 'article_link': None}, | |
{'attribute_type': 'CLASS', 'destination_id': '5000000000000142240', 'error_attribute': 'Klasses', 'article_link': None}, | |
{'attribute_type': 'DEPARTMENT', 'destination_id': '2', 'error_attribute': 'Depts', 'article_link': None}, | |
{'attribute_type': 'VENDOR', 'destination_id': '75', 'error_attribute': 'Names', 'article_link': None}, | |
] | |
result_dict_list = ERROR_MAPPINGS | |
error_dict = ERROR_MAPPINGS |
entity_result_dict_list = [ | ||
{'destination_id': '7', 'value': 'Advertising', 'error_attribute': 'Accounts', 'attribute_type': 'ACCOUNT'}, | ||
{'destination_id': '5000000000000142240', 'value': 'cc2', 'error_attribute': 'Klasses', 'attribute_type': 'CLASS'}, | ||
{'destination_id': '2', 'value': 'Bangalore', 'error_attribute': 'Depts', 'attribute_type': 'DEPARTMENT'}, | ||
{'destination_id': '75', 'value': 'SPEEDWAY', 'error_attribute': 'Names', 'attribute_type': 'VENDOR'}, | ||
] | ||
|
||
input_strings = [ | ||
"Invalid Reference Id : Accounts element id 7 not found", | ||
"Invalid Reference Id : Klasses element id 5000000000000142240 not found", | ||
"Invalid Reference Id : Depts element id 2 not found", | ||
"Invalid Reference Id : Names element id 75 not found" | ||
] | ||
|
||
replacements = [ | ||
{'destination_id': '7', 'value': 'Advertising', 'error_attribute': 'Accounts', 'attribute_type': 'ACCOUNT'}, | ||
{'destination_id': '5000000000000142240', 'value': 'cc2', 'error_attribute': 'Klasses', 'attribute_type': 'CLASS'}, | ||
{'destination_id': '2', 'value': 'Bangalore', 'error_attribute': 'Depts', 'attribute_type': 'DEPARTMENT'}, | ||
{'destination_id': '75', 'value': 'SPEEDWAY', 'error_attribute': 'Names', 'attribute_type': 'VENDOR'} | ||
] |
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🛠️ Refactor suggestion
Consolidate duplicate entity mapping structures.
Similar to the previous case, entity_result_dict_list
and replacements
contain identical data.
Consider this refactor:
-entity_result_dict_list = [
- {'destination_id': '7', 'value': 'Advertising', 'error_attribute': 'Accounts', 'attribute_type': 'ACCOUNT'},
- {'destination_id': '5000000000000142240', 'value': 'cc2', 'error_attribute': 'Klasses', 'attribute_type': 'CLASS'},
- {'destination_id': '2', 'value': 'Bangalore', 'error_attribute': 'Depts', 'attribute_type': 'DEPARTMENT'},
- {'destination_id': '75', 'value': 'SPEEDWAY', 'error_attribute': 'Names', 'attribute_type': 'VENDOR'},
-]
-
-replacements = [
+ENTITY_MAPPINGS = [
{'destination_id': '7', 'value': 'Advertising', 'error_attribute': 'Accounts', 'attribute_type': 'ACCOUNT'},
{'destination_id': '5000000000000142240', 'value': 'cc2', 'error_attribute': 'Klasses', 'attribute_type': 'CLASS'},
{'destination_id': '2', 'value': 'Bangalore', 'error_attribute': 'Depts', 'attribute_type': 'DEPARTMENT'},
{'destination_id': '75', 'value': 'SPEEDWAY', 'error_attribute': 'Names', 'attribute_type': 'VENDOR'}
]
+
+entity_result_dict_list = ENTITY_MAPPINGS
+replacements = ENTITY_MAPPINGS
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
entity_result_dict_list = [ | |
{'destination_id': '7', 'value': 'Advertising', 'error_attribute': 'Accounts', 'attribute_type': 'ACCOUNT'}, | |
{'destination_id': '5000000000000142240', 'value': 'cc2', 'error_attribute': 'Klasses', 'attribute_type': 'CLASS'}, | |
{'destination_id': '2', 'value': 'Bangalore', 'error_attribute': 'Depts', 'attribute_type': 'DEPARTMENT'}, | |
{'destination_id': '75', 'value': 'SPEEDWAY', 'error_attribute': 'Names', 'attribute_type': 'VENDOR'}, | |
] | |
input_strings = [ | |
"Invalid Reference Id : Accounts element id 7 not found", | |
"Invalid Reference Id : Klasses element id 5000000000000142240 not found", | |
"Invalid Reference Id : Depts element id 2 not found", | |
"Invalid Reference Id : Names element id 75 not found" | |
] | |
replacements = [ | |
{'destination_id': '7', 'value': 'Advertising', 'error_attribute': 'Accounts', 'attribute_type': 'ACCOUNT'}, | |
{'destination_id': '5000000000000142240', 'value': 'cc2', 'error_attribute': 'Klasses', 'attribute_type': 'CLASS'}, | |
{'destination_id': '2', 'value': 'Bangalore', 'error_attribute': 'Depts', 'attribute_type': 'DEPARTMENT'}, | |
{'destination_id': '75', 'value': 'SPEEDWAY', 'error_attribute': 'Names', 'attribute_type': 'VENDOR'} | |
] | |
ENTITY_MAPPINGS = [ | |
{'destination_id': '7', 'value': 'Advertising', 'error_attribute': 'Accounts', 'attribute_type': 'ACCOUNT'}, | |
{'destination_id': '5000000000000142240', 'value': 'cc2', 'error_attribute': 'Klasses', 'attribute_type': 'CLASS'}, | |
{'destination_id': '2', 'value': 'Bangalore', 'error_attribute': 'Depts', 'attribute_type': 'DEPARTMENT'}, | |
{'destination_id': '75', 'value': 'SPEEDWAY', 'error_attribute': 'Names', 'attribute_type': 'VENDOR'} | |
] | |
input_strings = [ | |
"Invalid Reference Id : Accounts element id 7 not found", | |
"Invalid Reference Id : Klasses element id 5000000000000142240 not found", | |
"Invalid Reference Id : Depts element id 2 not found", | |
"Invalid Reference Id : Names element id 75 not found" | |
] | |
entity_result_dict_list = ENTITY_MAPPINGS | |
replacements = ENTITY_MAPPINGS |
Description
Add parse error test
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