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first push for sema-check feature #125
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📝 WalkthroughWalkthroughThe pull request introduces several new files and functionalities related to a testing framework. Key additions include a structured HTML file ( Changes
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Actionable comments posted: 64
📜 Review details
Configuration used: .coderabbit.yaml
Review profile: ASSERTIVE
⛔ Files ignored due to path filters (2)
results.csv
is excluded by!**/*.csv
tests/check/out/output.csv
is excluded by!**/*.csv
📒 Files selected for processing (21)
- results.html (1 hunks)
- results.yml (1 hunks)
- sema/check/README.md (1 hunks)
- sema/check/init.py (1 hunks)
- sema/check/main.py (1 hunks)
- sema/check/check.py (1 hunks)
- sema/check/service.py (1 hunks)
- sema/check/sinks/init.py (1 hunks)
- sema/check/sinks/csv_sink.py (1 hunks)
- sema/check/sinks/html_sink.py (1 hunks)
- sema/check/sinks/yml_sink.py (1 hunks)
- sema/check/testing/base.py (1 hunks)
- sema/check/testing/test_example.py (1 hunks)
- sema/subyt/main.py (1 hunks)
- tests/check/out/output.yml (1 hunks)
- tests/check/out/test_results.html (1 hunks)
- tests/check/test_files/good_yaml.yml (1 hunks)
- tests/check/test_files/should not be processed.txt (1 hunks)
- tests/check/test_sema_check_cli.py (1 hunks)
- tests/check/test_service.py (1 hunks)
- tests/check/test_sinks.py (1 hunks)
🧰 Additional context used
🪛 Markdownlint
sema/check/README.md
1-1: null
First line in a file should be a top-level heading(MD041, first-line-heading, first-line-h1)
🪛 Ruff
sema/check/__main__.py
4-4:
sys
imported but unusedRemove unused import:
sys
(F401)
49-49: Missing type annotation for
*args_list
(ANN002)
50-50: Logging statement uses f-string
(G004)
58-58: Do not catch blind exception:
Exception
(BLE001)
59-59: Use
logging.exception
instead oflogging.error
Replace with
exception
(TRY400)
59-59: Logging statement uses f-string
(G004)
63-63: Missing return type annotation for public function
main
Add return type annotation:
None
(ANN201)
63-63: Missing type annotation for function argument
args
(ANN001)
64-64: Logging statement uses f-string
(G004)
66-66: f-string without any placeholders
Remove extraneous
f
prefix(F541)
66-66: Logging statement uses f-string
(G004)
67-67: Logging statement uses f-string
(G004)
sema/check/check.py
12-12: Missing return type annotation for special method
__init__
Add return type annotation:
None
(ANN204)
12-12: Missing type annotation for
self
in method(ANN101)
16-16: Missing type annotation for
self
in method(ANN101)
23-23: Missing type annotation for
self
in method(ANN101)
35-35: Logging statement uses f-string
(G004)
35-35: Trailing comma missing
Add trailing comma
(COM812)
38-38: Use of
assert
detected(S101)
39-39: Use of
assert
detected(S101)
44-44: Missing type annotation for
self
in method(ANN101)
48-48: Logging statement uses f-string
(G004)
55-55: Logging statement uses f-string
(G004)
57-57: Do not catch blind exception:
Exception
(BLE001)
58-58: Use
logging.exception
instead oflogging.error
Replace with
exception
(TRY400)
58-58: Logging statement uses f-string
(G004)
61-61:
return
insidefinally
blocks cause exceptions to be silenced(B012)
61-61: Don't use
return
intry
-except
andfinally
(SIM107)
sema/check/service.py
5-5:
.testing.base.TestBase
imported but unusedRemove unused import:
.testing.base.TestBase
(F401)
13-13: Missing return type annotation for public function
load_yaml_files
(ANN201)
13-13: Missing type annotation for function argument
input_folder
(ANN001)
14-14: Logging statement uses f-string
(G004)
18-18: Call
endswith
once with atuple
Merge into a single
endswith
call(PIE810)
22-22: Logging statement uses f-string
(G004)
24-24: Unnecessary open mode parameters
Remove open mode parameters
(UP015)
30-30: Use
logging.exception
instead oflogging.error
Replace with
exception
(TRY400)
30-30: Logging statement uses f-string
(G004)
32-32: Logging statement uses f-string
(G004)
32-32: Redundant exception object included in
logging.exception
call(TRY401)
33-33: Logging statement uses f-string
(G004)
37-37: Missing return type annotation for public function
instantiate_test
(ANN201)
37-37: Missing type annotation for function argument
rule
(ANN001)
38-38: Logging statement uses f-string
(G004)
40-40: Logging statement uses f-string
(G004)
48-48: Unnecessary
else
afterreturn
statementRemove unnecessary
else
(RET505)
49-49: Avoid specifying long messages outside the exception class
(TRY003)
52-52: Missing return type annotation for public function
run_tests
(ANN201)
52-52: Missing type annotation for function argument
input_folder
(ANN001)
54-54: Logging statement uses f-string
(G004)
sema/check/sinks/csv_sink.py
8-8: Missing return type annotation for public function
write_csv
Add return type annotation:
None
(ANN201)
22-22: Trailing comma missing
Add trailing comma
(COM812)
sema/check/sinks/html_sink.py
7-7: Missing return type annotation for public function
write_html
Add return type annotation:
None
(ANN201)
sema/check/sinks/yml_sink.py
8-8: Missing return type annotation for public function
write_yml
Add return type annotation:
None
(ANN201)
sema/check/testing/base.py
17-17: Missing return type annotation for special method
__init__
Add return type annotation:
None
(ANN204)
17-17: Missing type annotation for
self
in method(ANN101)
30-30: Missing type annotation for
self
in method(ANN101)
sema/check/testing/test_example.py
7-7: Missing type annotation for
self
in method(ANN101)
11-11: Trailing comma missing
Add trailing comma
(COM812)
18-18: Do not catch blind exception:
Exception
(BLE001)
sema/subyt/__main__.py
156-156: Missing return type annotation for public function
main
Add return type annotation:
None
(ANN201)
156-156: Missing type annotation for
*cli_args
(ANN002)
tests/check/test_sema_check_cli.py
9-9: Missing return type annotation for public function
test_main
Add return type annotation:
None
(ANN201)
10-10: f-string without any placeholders
Remove extraneous
f
prefix(F541)
10-10: Logging statement uses f-string
(G004)
20-20: Consider
["sema-check", *cli_line.split()]
instead of concatenationReplace with
["sema-check", *cli_line.split()]
(RUF005)
21-21: Local variable
success
is assigned to but never usedRemove assignment to unused variable
success
(F841)
tests/check/test_service.py
1-1:
sys
imported but unusedRemove unused import:
sys
(F401)
9-9: Missing return type annotation for public function
test_load_yaml_file
Add return type annotation:
None
(ANN201)
29-29: Missing return type annotation for public function
test_instantiate_tests
Add return type annotation:
None
(ANN201)
41-41: Missing return type annotation for public function
test_instantiate_unknown_type
Add return type annotation:
None
(ANN201)
49-49: Assertion always fails, replace with
pytest.fail()
(PT015)
49-49: Do not
assert False
(python -O
removes these calls), raiseAssertionError()
Replace
assert False
(B011)
51-51: Found assertion on exception
e
inexcept
block, usepytest.raises()
instead(PT017)
54-54: Missing return type annotation for public function
test_run_tests
Add return type annotation:
None
(ANN201)
tests/check/test_sinks.py
2-2:
os
imported but unusedRemove unused import:
os
(F401)
9-9: Missing return type annotation for public function
test_write_csv
Add return type annotation:
None
(ANN201)
51-51: Missing return type annotation for public function
test_write_html
Add return type annotation:
None
(ANN201)
75-75: Unnecessary open mode parameters
Remove open mode parameters
(UP015)
95-95: Missing return type annotation for public function
test_write_yml
Add return type annotation:
None
(ANN201)
116-116: Unnecessary open mode parameters
Remove open mode parameters
(UP015)
121-121: Avoid equality comparisons to
True
; useif loaded_results[0]["success"]:
for truth checksReplace with
loaded_results[0]["success"]
(E712)
122-122: Comparison to
None
should becond is None
Replace with
cond is None
(E711)
126-126: Avoid equality comparisons to
False
; useif not loaded_results[1]["success"]:
for false checksReplace with
not loaded_results[1]["success"]
(E712)
🪛 LanguageTool
tests/check/test_files/should not be processed.txt
[style] ~1-~1: To form a complete sentence, be sure to include a subject.
Context: should not be processed by sema-check(MISSING_IT_THERE)
🔇 Additional comments (19)
tests/check/test_files/should not be processed.txt (1)
1-1
: LGTM! Test file added as expected.The content of this file is appropriate for its purpose as a test file. The statement "should not be processed by sema-check" clearly indicates the expected behavior for this file when encountered by the sema-check tool.
Note:
- The spaces in the filename appear to be intentional, likely to test how the tool handles filenames with spaces.
- The content is not meant to be a complete sentence, as it's a test file and not documentation.
🧰 Tools
🪛 LanguageTool
[style] ~1-~1: To form a complete sentence, be sure to include a subject.
Context: should not be processed by sema-check(MISSING_IT_THERE)
tests/check/test_files/good_yaml.yml (1)
1-9
: LGTM! The YAML structure looks good.The file contains two well-structured entries, each with a URL, type, and options. This appears to be a good example of configuration data for testing purposes.
To ensure this file complies with the expected schema, please run the following verification:
This script will help verify the structure against a schema (if available) and check for any YAML parsing errors.
sema/check/sinks/__init__.py (1)
3-5
: Imports look good!The imports are well-structured and follow Python best practices:
- Using relative imports for intra-package modules is appropriate.
- The naming convention for the imported functions is consistent.
results.yml (1)
1-12
: LGTM: Overall structure is well-formedThe YAML structure is correct and consistent. The file contains two test result entries with proper indentation and syntax.
sema/check/__init__.py (1)
1-17
: Overall, the__init__.py
file looks goodThis
__init__.py
file is well-structured and serves its purpose effectively. It properly imports the necessary components and exposes them through the__all__
list. The suggested minor improvements (updating the module name comment and reordering the__all__
list) will enhance consistency and clarity, but the current implementation is functional and follows good practices for module initialization.sema/check/testing/base.py (3)
3-4
: LGTM: Import statements are appropriate.The import statements are correct and necessary for the classes defined in this file.
7-13
: LGTM: TestResult dataclass is well-structured.The
TestResult
dataclass is correctly implemented with appropriate attributes and type annotations. It follows Python naming conventions and provides a clear structure for representing test results.
1-31
: Overall, excellent foundation for the testing framework.This file provides a solid base for the testing framework with well-structured
TestResult
andTestBase
classes. The code is clean, follows Python conventions, and uses appropriate design patterns (dataclass, abstract base class).A few minor type annotation improvements were suggested, but these are not critical. The structure allows for easy extension and implementation of specific test cases.
Great job on laying the groundwork for the testing framework!
🧰 Tools
🪛 Ruff
17-17: Missing return type annotation for special method
__init__
Add return type annotation:
None
(ANN204)
17-17: Missing type annotation for
self
in method(ANN101)
30-30: Missing type annotation for
self
in method(ANN101)
sema/check/sinks/html_sink.py (1)
3-4
: LGTM: Imports are correct and necessary.The import statements are appropriate for the function implementation. They import the required
List
type hint and theTestResult
class.sema/check/sinks/csv_sink.py (1)
1-6
: File structure and imports look good.The file is well-structured with appropriate imports for the CSV writing functionality. The use of type hinting with
List
and the relative import ofTestBase
indicate good coding practices.tests/check/test_sema_check_cli.py (1)
1-6
: LGTM: Imports and logger setup are appropriate.The necessary modules are imported, and the logger is correctly set up using the module name. This follows good practices for Python testing and logging.
sema/check/testing/test_example.py (2)
1-6
: LGTM: Import and class definition look good.The import statement and class definition are correctly implemented. The
ExampleTest
class inherits fromTestBase
, which is appropriate for a test class.
1-42
: Overall, good foundation for the testing frameworkThis file provides a solid starting point for the testing framework. It introduces a basic test structure with
ExampleTest
and outlines plans for future tests. The code follows Python conventions and implements basic error handling.Key strengths:
- Clear class structure inheriting from
TestBase
.- Basic error handling in place.
- Comprehensive TODO list for future test implementations.
Areas for improvement:
- Enhance error handling as suggested earlier.
- Improve task management for TODOs.
- Consider adding more detailed documentation for the
ExampleTest
class and its methods.Great job on setting up this foundation! As you proceed with implementing the planned tests, remember to keep the code well-documented and maintain consistent error handling across all test cases.
🧰 Tools
🪛 Ruff
7-7: Missing type annotation for
self
in method(ANN101)
11-11: Trailing comma missing
Add trailing comma
(COM812)
18-18: Do not catch blind exception:
Exception
(BLE001)
tests/check/test_service.py (1)
1-61
: Overall, well-structured and comprehensive test suite.This test file provides good coverage for the main functionalities of the service module. The tests are clear, concise, and effective in verifying the expected behavior of the module.
Main points for improvement:
- Add return type annotations to all test functions for consistency.
- Consider using pytest-specific assertions and patterns, such as
pytest.raises()
for exception testing.- In
test_run_tests
, consider adding more specific assertions about the content of the test results.These improvements will enhance the maintainability and robustness of your test suite. Great job on creating a solid foundation for testing the service module!
🧰 Tools
🪛 Ruff
1-1:
sys
imported but unusedRemove unused import:
sys
(F401)
9-9: Missing return type annotation for public function
test_load_yaml_file
Add return type annotation:
None
(ANN201)
29-29: Missing return type annotation for public function
test_instantiate_tests
Add return type annotation:
None
(ANN201)
41-41: Missing return type annotation for public function
test_instantiate_unknown_type
Add return type annotation:
None
(ANN201)
49-49: Assertion always fails, replace with
pytest.fail()
(PT015)
49-49: Do not
assert False
(python -O
removes these calls), raiseAssertionError()
Replace
assert False
(B011)
51-51: Found assertion on exception
e
inexcept
block, usepytest.raises()
instead(PT017)
54-54: Missing return type annotation for public function
test_run_tests
Add return type annotation:
None
(ANN201)
sema/check/__main__.py (3)
13-39
: Well-structured argument parser setupThe
get_arg_parser
function is well-implemented. It provides clear documentation, sets up required and optional arguments correctly, and uses appropriate argument types and choices. Good job on following CLI best practices!
42-46
: Concise and well-typed service creationThe
make_service
function is implemented correctly. It efficiently creates aCheck
object using the parsed arguments, and includes appropriate type annotations. Well done!
1-72
: Well-structured CLI implementationThe overall structure and functionality of this file are well-implemented. It follows good practices for Python CLI scripts:
- Clear separation of concerns with distinct functions for argument parsing, service creation, and main execution.
- Use of
argparse
for robust command-line argument handling.- Proper logging setup and usage throughout the script.
- Appropriate error handling in the main execution flow.
The script is set up correctly to be run as a standalone program. Good job on creating a clean and maintainable CLI implementation!
🧰 Tools
🪛 Ruff
4-4:
sys
imported but unusedRemove unused import:
sys
(F401)
49-49: Missing type annotation for
*args_list
(ANN002)
50-50: Logging statement uses f-string
(G004)
58-58: Do not catch blind exception:
Exception
(BLE001)
59-59: Use
logging.exception
instead oflogging.error
Replace with
exception
(TRY400)
59-59: Logging statement uses f-string
(G004)
63-63: Missing return type annotation for public function
main
Add return type annotation:
None
(ANN201)
63-63: Missing type annotation for function argument
args
(ANN001)
64-64: Logging statement uses f-string
(G004)
66-66: f-string without any placeholders
Remove extraneous
f
prefix(F541)
66-66: Logging statement uses f-string
(G004)
67-67: Logging statement uses f-string
(G004)
sema/subyt/__main__.py (2)
162-162
: LGTM: Correct usage of command-line argumentsThe update to the
main
function invocation is correct and consistent with the new function signature. It properly passes all command-line arguments except the script name.
156-162
: 🧹 Nitpick (assertive)Consider updating documentation and tests
The changes to the
main
function and its invocation improve the flexibility of the command-line interface. To ensure completeness:
- Update any existing documentation that describes the usage of this script to reflect the new argument handling.
- Review and update any tests that involve the
main
function to ensure they cover the new argument passing mechanism.To help verify the impact of these changes, you can run the following script:
This will help identify files that might need to be updated to reflect the changes in the command-line interface.
🧰 Tools
🪛 Ruff
156-156: Missing return type annotation for public function
main
Add return type annotation:
None
(ANN201)
156-156: Missing type annotation for
*cli_args
(ANN002)
__all__ = [ | ||
"write_csv", | ||
"write_html", | ||
"write_yml", | ||
] |
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🧹 Nitpick (assertive)
__all__
list is well-defined.
The __all__
list correctly includes all imported functions, which is a good practice for controlling the module's public interface.
Consider adding a docstring at the beginning of the file to briefly explain the purpose of this module and its contents. For example:
"""
This module provides write functions for different output formats.
It includes functions to write data in CSV, HTML, and YAML formats.
"""
# your_submodule/sinks/__init__.py | ||
|
||
from .csv_sink import write_csv | ||
from .html_sink import write_html | ||
from .yml_sink import write_yml | ||
|
||
__all__ = [ | ||
"write_csv", | ||
"write_html", | ||
"write_yml", | ||
] |
There was a problem hiding this comment.
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The reason will be displayed to describe this comment to others. Learn more.
💡 Codebase verification
Imported write_*
functions are missing in sink modules.
The __init__.py
file imports write_csv
, write_html
, and write_yml
from their respective sink modules. However, these functions were not found in csv_sink.py
, html_sink.py
, or yml_sink.py
.
- Ensure that each sink module (
csv_sink.py
,html_sink.py
,yml_sink.py
) defines the correspondingwrite_*
function.
🔗 Analysis chain
Overall, the file structure is clean and well-organized.
This __init__.py
file effectively sets up the public interface for the sinks
package. It follows Python best practices for imports and module structure. The consistent naming of imported functions (write_*
) suggests a well-thought-out API design.
To ensure consistency across the package, let's verify the existence and naming of the imported modules:
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Verify the existence of imported modules and their naming consistency
# Test 1: Check if the imported modules exist
echo "Checking for imported modules:"
fd --type f --glob '*_sink.py' sema/check/sinks
# Test 2: Verify that each *_sink.py file contains a write_* function
echo "Verifying write_* functions in sink modules:"
for file in $(fd --type f --glob '*_sink.py' sema/check/sinks); do
echo "Checking $file:"
ast-grep --lang python --pattern 'def write_$_($$$):' "$file"
done
Length of output: 1072
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good enough to get started,
reversed: not enough actual body to disagree atm
so actually also questioning why we don't keep this in a separate branch some longer?
(would be ok to wait for merge until things are more feature-complete)
(and keep the PR in draft?)
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suggestion to use jinja and manage the produced html template separately
should get the Result object-model as parameter to be fed into the template?
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Actionable comments posted: 28
📜 Review details
Configuration used: .coderabbit.yaml
Review profile: ASSERTIVE
📒 Files selected for processing (11)
- sema/check/README.md (1 hunks)
- sema/check/init.py (1 hunks)
- sema/check/main.py (1 hunks)
- sema/check/check.py (1 hunks)
- sema/check/service.py (1 hunks)
- sema/check/sinks/csv_sink.py (1 hunks)
- sema/check/sinks/html_sink.py (1 hunks)
- sema/check/sinks/yml_sink.py (1 hunks)
- tests/check/test_sema_check_cli.py (1 hunks)
- tests/check/test_service.py (1 hunks)
- tests/check/test_sinks.py (1 hunks)
🧰 Additional context used
🪛 LanguageTool
sema/check/README.md
[uncategorized] ~19-~19: Loose punctuation mark.
Context: ...t with the following structure: -url
: The target URL for the test (required) ...(UNLIKELY_OPENING_PUNCTUATION)
🪛 Ruff
sema/check/__main__.py
45-45: Missing type annotation for
*args_list
(ANN002)
54-54: Replace aliased errors with
OSError
Replace with builtin
OSError
(UP024)
55-55: Redundant exception object included in
logging.exception
call(TRY401)
sema/check/check.py
14-14: Missing return type annotation for special method
__init__
Add return type annotation:
None
(ANN204)
14-14: Missing type annotation for
self
in method(ANN101)
18-18: Missing type annotation for
self
in method(ANN101)
25-25: Missing type annotation for
self
in method(ANN101)
43-43: Use of
assert
detected(S101)
44-44: Use of
assert
detected(S101)
49-49: Missing type annotation for
self
in method(ANN101)
53-53: Logging statement uses f-string
(G004)
60-60: Logging statement uses f-string
(G004)
62-62: Do not catch blind exception:
Exception
(BLE001)
63-63: Use
logging.exception
instead oflogging.error
Replace with
exception
(TRY400)
63-63: Logging statement uses f-string
(G004)
66-66:
return
insidefinally
blocks cause exceptions to be silenced(B012)
66-66: Don't use
return
intry
-except
andfinally
(SIM107)
sema/check/service.py
14-14: Missing return type annotation for public function
load_yaml_files
(ANN201)
14-14: Missing type annotation for function argument
input_folder
(ANN001)
15-15: Logging statement uses f-string
(G004)
19-19: Call
endswith
once with atuple
Merge into a single
endswith
call(PIE810)
23-23: Logging statement uses f-string
(G004)
25-25: Unnecessary open mode parameters
Remove open mode parameters
(UP015)
31-31: Use
logging.exception
instead oflogging.error
Replace with
exception
(TRY400)
31-31: Logging statement uses f-string
(G004)
33-33: Logging statement uses f-string
(G004)
33-33: Redundant exception object included in
logging.exception
call(TRY401)
34-34: Logging statement uses f-string
(G004)
38-38: Missing return type annotation for public function
instantiate_test
(ANN201)
38-38: Missing type annotation for function argument
rule
(ANN001)
39-39: Logging statement uses f-string
(G004)
41-41: Logging statement uses f-string
(G004)
49-49: Unnecessary
else
afterreturn
statementRemove unnecessary
else
(RET505)
50-50: Avoid specifying long messages outside the exception class
(TRY003)
53-53: Missing return type annotation for public function
run_tests
(ANN201)
53-53: Missing type annotation for function argument
input_folder
(ANN001)
55-55: Logging statement uses f-string
(G004)
sema/check/sinks/csv_sink.py
9-9: Missing return type annotation for public function
write_csv
Add return type annotation:
None
(ANN201)
23-23: Trailing comma missing
Add trailing comma
(COM812)
sema/check/sinks/html_sink.py
8-8: Missing return type annotation for public function
write_html
Add return type annotation:
None
(ANN201)
sema/check/sinks/yml_sink.py
10-10: Missing return type annotation for public function
write_yml
Add return type annotation:
None
(ANN201)
tests/check/test_service.py
10-10: Missing return type annotation for public function
test_load_yaml_file
Add return type annotation:
None
(ANN201)
30-30: Missing return type annotation for public function
test_instantiate_tests
Add return type annotation:
None
(ANN201)
42-42: Missing return type annotation for public function
test_instantiate_unknown_type
Add return type annotation:
None
(ANN201)
50-50: Assertion always fails, replace with
pytest.fail()
(PT015)
50-50: Do not
assert False
(python -O
removes these calls), raiseAssertionError()
Replace
assert False
(B011)
52-52: Found assertion on exception
e
inexcept
block, usepytest.raises()
instead(PT017)
55-55: Missing return type annotation for public function
test_run_tests
Add return type annotation:
None
(ANN201)
tests/check/test_sinks.py
76-76: Unnecessary open mode parameters
Remove open mode parameters
(UP015)
96-96: Missing return type annotation for public function
test_write_yml
Add return type annotation:
None
(ANN201)
117-117: Unnecessary open mode parameters
Remove open mode parameters
(UP015)
🔇 Additional comments (8)
sema/check/sinks/yml_sink.py (2)
1-8
: LGTM: Imports are appropriate for the functionality.The imports are well-structured and provide the necessary components for the YAML sink functionality.
10-10
:⚠️ Potential issueAdd return type annotation to the function.
To improve type hinting and satisfy the static analysis tool, add a return type annotation to the
write_yml
function.Apply this change:
-def write_yml(results: List[TestResult], output_file: str): +def write_yml(results: List[TestResult], output_file: str) -> None:Likely invalid or redundant comment.
🧰 Tools
🪛 Ruff
10-10: Missing return type annotation for public function
write_yml
Add return type annotation:
None
(ANN201)
sema/check/__init__.py (2)
1-8
: LGTM: Module comment and imports are well-organizedThe module comment correctly reflects the file path, and the imports are appropriately organized. They include all necessary components from various submodules, providing a clear structure for the module's functionality.
10-17
: 🧹 Nitpick (assertive)Consider reordering
__all__
list for consistencyThe
__all__
list correctly includes all imported components, which is good practice for explicitly declaring the public interface of the module. However, for improved readability and consistency, consider reordering the items in the__all__
list to match the order of imports.Apply this diff to reorder the list:
__all__ = [ "run_tests", - "TestBase", - "Check", + "Check", + "TestBase", "write_csv", "write_html", "write_yml", ]sema/check/sinks/html_sink.py (1)
1-6
: LGTM: Imports and file structure are appropriate.The imports and file structure are clean and follow good practices. The necessary types are imported, and the file is well-organized.
sema/check/sinks/csv_sink.py (1)
1-7
: Imports and structure look good.The necessary modules are imported, and the overall structure of the file is clean and follows Python conventions.
tests/check/test_sema_check_cli.py (1)
1-7
: LGTM: Imports and logger setup are well-structured.The imports are appropriate for the test file, including necessary standard library modules and the main function from the module being tested. The logger setup using
__name__
is a good practice for maintaining consistent logging across the project.sema/check/README.md (1)
25-37
: TestBase dataclass description looks greatThe updated TestBase dataclass description is clear, concise, and informative. It addresses all the points raised in the previous review:
- Data types are now included for each field.
- The relationship between
success
anderror
fields in theresult
is clarified.- A nested list structure is used for better readability.
The additional note about a test being unsuccessful without encountering an error is particularly helpful for understanding the nuances of test results.
Great job on these improvements!
sema/check/sinks/yml_sink.py
Outdated
def write_yml(results: List[TestResult], output_file: str): | ||
with open(output_file, "w") as f: | ||
yaml.dump([result.__dict__ for result in results], f) |
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Enhance error handling and consider edge cases.
The current implementation lacks error handling for file operations and doesn't account for the case where the results
list might be empty. Consider adding appropriate error handling and a check for empty results.
Here's an example of how you could improve the function:
def write_yml(results: List[TestResult], output_file: str) -> None:
if not results:
print("Warning: No results to write.")
return
try:
with open(output_file, "w") as f:
yaml.dump([result.__dict__ for result in results], f)
except IOError as e:
print(f"Error writing to file {output_file}: {e}")
except yaml.YAMLError as e:
print(f"Error in YAML serialization: {e}")
This version handles potential file I/O errors, YAML serialization errors, and warns if the results list is empty.
🧰 Tools
🪛 Ruff
10-10: Missing return type annotation for public function
write_yml
Add return type annotation:
None
(ANN201)
with open(output_file, "w") as f: | ||
f.write(html_content) |
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Add error handling for file operations.
The current implementation doesn't handle potential errors when writing to the file. Consider adding a try-except block to catch and handle IOErrors, as suggested in a past review comment.
Here's an example of how you could add error handling:
try:
with open(output_file, "w") as f:
f.write(html_content)
except IOError as e:
print(f"Error writing to file {output_file}: {e}")
# Consider raising an exception or returning a status code
# In the future add some way to visualise this with graphs or something | ||
# For now this is good enough |
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🧹 Nitpick (assertive)
Consider creating a GitHub issue for future enhancement.
The comment about future visualization with graphs is a good idea. To ensure this doesn't get lost, consider creating a GitHub issue to track this enhancement.
Would you like me to create a GitHub issue for tracking the future enhancement of adding graph visualizations to the HTML output?
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Actionable comments posted: 10
📜 Review details
Configuration used: .coderabbit.yaml
Review profile: ASSERTIVE
📒 Files selected for processing (2)
- sema/check/README.md (1 hunks)
- sema/check/sinks/html_sink.py (1 hunks)
🧰 Additional context used
🪛 LanguageTool
sema/check/README.md
[uncategorized] ~22-~22: Loose punctuation mark.
Context: ...t with the following structure: -url
: The target URL for the test (required) ...(UNLIKELY_OPENING_PUNCTUATION)
[uncategorized] ~24-~24: Loose punctuation mark.
Context: ... the implemented test types. -options
: A map of key-value pairs for additional...(UNLIKELY_OPENING_PUNCTUATION)
[grammar] ~60-~60: This phrase is duplicated. You should probably use “the CLI” only once.
Context: ... sema-check process: 1. User invokes the CLI 2. The CLI module parses arguments and initiates t...(PHRASE_REPETITION)
[uncategorized] ~64-~64: The preposition ‘in’ seems more likely in this position.
Context: ...s are collected 5. Results are output to various formats (CSV, HTML, YML) using ...(AI_HYDRA_LEO_REPLACE_TO_IN)
🪛 Markdownlint
sema/check/README.md
1-1: Expected: 1; Actual: 0; Below
Headings should be surrounded by blank lines(MD022, blanks-around-headings)
2-2: Expected: 1; Actual: 0; Above
Headings should be surrounded by blank lines(MD022, blanks-around-headings)
31-31: null
Fenced code blocks should be surrounded by blank lines(MD031, blanks-around-fences)
34-34: null
Fenced code blocks should be surrounded by blank lines(MD031, blanks-around-fences)
36-36: null
Fenced code blocks should be surrounded by blank lines(MD031, blanks-around-fences)
67-67: null
Lists should be surrounded by blank lines(MD032, blanks-around-lists)
🪛 Ruff
sema/check/sinks/html_sink.py
57-57: Replace aliased errors with
OSError
Replace
IOError
with builtinOSError
(UP024)
<tr> | ||
<th>Success</th> | ||
<th>Error</th> | ||
<th>Message</th> |
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🧹 Nitpick (assertive)
Adjust table headers for clarity
To improve the clarity of the HTML table, consider updating the headers to more accurately reflect the content of each column. For example, "Status" instead of "Success" and "Details" instead of "Message".
Apply this diff to update the table headers:
- <th>Success</th>
- <th>Error</th>
- <th>Message</th>
+ <th>Status</th>
+ <th>Error Message</th>
+ <th>Details</th>
📝 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.
<tr> | |
<th>Success</th> | |
<th>Error</th> | |
<th>Message</th> | |
<tr> | |
<th>Status</th> | |
<th>Error Message</th> | |
<th>Details</th> |
except IOError as e: | ||
print(f"Error writing to file {output_file}: {e}") |
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Replace IOError
with OSError
In Python 3, IOError
is an alias of OSError
. For clarity and to follow modern Python conventions, it's recommended to use OSError
directly.
Apply this diff to update the exception handling:
- except IOError as e:
+ except OSError as e:
📝 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.
except IOError as e: | |
print(f"Error writing to file {output_file}: {e}") | |
except OSError as e: | |
print(f"Error writing to file {output_file}: {e}") |
🧰 Tools
🪛 Ruff
57-57: Replace aliased errors with
OSError
Replace
IOError
with builtinOSError
(UP024)
success_class = "success" if result.success else "error" | ||
html_content += f""" | ||
<tr> | ||
<td class="{success_class}">{result.success}</td> |
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🧹 Nitpick (assertive)
Display user-friendly success status
Currently, the result.success
value is displayed directly, which will appear as True
or False
in the HTML table. For better readability, consider displaying "Success" or "Failure" instead.
Apply this diff to update the display:
- <td class="{success_class}">{result.success}</td>
+ <td class="{success_class}">{'Success' if result.success else 'Failure'}</td>
📝 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.
success_class = "success" if result.success else "error" | |
html_content += f""" | |
<tr> | |
<td class="{success_class}">{result.success}</td> | |
success_class = "success" if result.success else "error" | |
html_content += f""" | |
<tr> | |
<td class="{success_class}">{'Success' if result.success else 'Failure'}</td> |
with open(output_file, "w") as f: | ||
f.write(html_content) | ||
except IOError as e: | ||
print(f"Error writing to file {output_file}: {e}") |
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Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
🛠️ Refactor suggestion
Use logging instead of print for error messages
Using the logging
module instead of print
statements allows for better control over log levels and output destinations, which is especially important in larger applications.
Add the import at the top of the file:
+import logging
Update the exception handling:
- print(f"Error writing to file {output_file}: {e}")
+ logging.error(f"Error writing to file {output_file}: {e}")
Ensure that the logging system is configured appropriately in your application to capture and handle these logs.
Committable suggestion was skipped due to low confidence.
for result in results: | ||
success_class = "success" if result.success else "error" | ||
html_content += f""" | ||
<tr> | ||
<td class="{success_class}">{result.success}</td> | ||
<td>{result.error}</td> | ||
<td>{result.message}</td> | ||
</tr> | ||
""" | ||
|
||
html_content += """ | ||
</tbody> | ||
</table> | ||
</body> | ||
</html> | ||
""" | ||
|
||
with open(output_file, "w") as f: | ||
f.write(html_content) | ||
|
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Remove duplicate code blocks to avoid redundancy
The code from lines 61-80 duplicates the previous code from lines 37-60. This redundancy can lead to maintenance issues and potential bugs. It's important to remove the duplicated code to keep the codebase clean and efficient.
Apply this diff to remove the duplicated code:
- for result in results:
- success_class = "success" if result.success else "error"
- html_content += f"""
- <tr>
- <td class="{success_class}">{result.success}</td>
- <td>{result.error}</td>
- <td>{result.message}</td>
- </tr>
- """
-
- html_content += """
- </tbody>
- </table>
- </body>
- </html>
- """
-
- with open(output_file, "w") as f:
- f.write(html_content)
📝 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.
for result in results: | |
success_class = "success" if result.success else "error" | |
html_content += f""" | |
<tr> | |
<td class="{success_class}">{result.success}</td> | |
<td>{result.error}</td> | |
<td>{result.message}</td> | |
</tr> | |
""" | |
html_content += """ | |
</tbody> | |
</table> | |
</body> | |
</html> | |
""" | |
with open(output_file, "w") as f: | |
f.write(html_content) | |
with open(output_file, "w") as f: | |
f.write(html_content) | |
``` | |
Note: This suggestion removes the entire duplicated code block as indicated in the diff. However, it's important to ensure that the remaining code (not shown in this snippet) still contains the necessary HTML structure and content generation that was removed here. The removal of this duplicate code assumes that the HTML table, body, and document closing tags, as well as the loop for generating result rows, are present earlier in the file. | |
Additionally, it's worth noting that the previous review comment suggested adding error handling for file operations. While this is not directly addressed in the current review, it would be beneficial to implement that suggestion as well, perhaps like this: | |
```suggestion | |
try: | |
with open(output_file, "w") as f: | |
f.write(html_content) | |
except IOError as e: | |
print(f"Error writing to file {output_file}: {e}") | |
# Consider raising an exception or returning a status code |
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Actionable comments posted: 35
📜 Review details
Configuration used: .coderabbit.yaml
Review profile: ASSERTIVE
📒 Files selected for processing (13)
- sema/check/README.md (1 hunks)
- sema/check/init.py (1 hunks)
- sema/check/main.py (1 hunks)
- sema/check/base.py (1 hunks)
- sema/check/check.py (1 hunks)
- sema/check/implementations/test_example.py (1 hunks)
- sema/check/sinks/csv_sink.py (1 hunks)
- sema/check/sinks/html_sink.py (1 hunks)
- sema/check/sinks/yml_sink.py (1 hunks)
- tests/check/out/test_results.html (1 hunks)
- tests/check/test_check_service.py (1 hunks)
- tests/check/test_sema_check_cli.py (1 hunks)
- tests/check/test_sinks.py (1 hunks)
🧰 Additional context used
📓 Learnings (1)
sema/check/README.md (1)
Learnt from: cedricdcc PR: vliz-be-opsci/py-sema#125 File: sema/check/README.md:75-114 Timestamp: 2024-10-16T07:43:49.737Z Learning: In the `sema-check` module's `README.md`, titles will not be provided for Mermaid flowcharts unless explicitly requested.
🪛 LanguageTool
sema/check/README.md
[uncategorized] ~24-~24: Loose punctuation mark.
Context: ...t with the following structure: -url
: The target URL for the test (required) ...(UNLIKELY_OPENING_PUNCTUATION)
[uncategorized] ~26-~26: Loose punctuation mark.
Context: ... the implemented test types. -options
: A map of key-value pairs for additional...(UNLIKELY_OPENING_PUNCTUATION)
[grammar] ~100-~100: This phrase is duplicated. You should probably use “the CLI” only once.
Context: ...he sema-check process: 1. User invokes the CLI 2. The CLI module parses arguments and initiates t...(PHRASE_REPETITION)
[uncategorized] ~104-~104: The preposition ‘in’ seems more likely in this position.
Context: ...lts are collected 5. Results are output to various formats (CSV, HTML, YML) using ...(AI_HYDRA_LEO_REPLACE_TO_IN)
🪛 Ruff
sema/check/__main__.py
46-46: Missing type annotation for
*args_list
(ANN002)
sema/check/base.py
17-17: Missing return type annotation for special method
__init__
Add return type annotation:
None
(ANN204)
17-17: Missing type annotation for
self
in method(ANN101)
30-30: Missing type annotation for
self
in method(ANN101)
sema/check/check.py
17-17: Missing return type annotation for public function
load_yaml_files
(ANN201)
17-17: Missing type annotation for function argument
input_folder
(ANN001)
18-18: Logging statement uses f-string
(G004)
22-22: Call
endswith
once with atuple
Merge into a single
endswith
call(PIE810)
26-26: Logging statement uses f-string
(G004)
28-28: Unnecessary open mode parameters
Remove open mode parameters
(UP015)
36-36: Do not catch blind exception:
Exception
(BLE001)
37-37: Use
logging.exception
instead oflogging.error
Replace with
exception
(TRY400)
37-37: Logging statement uses f-string
(G004)
39-39: Logging statement uses f-string
(G004)
40-40: Logging statement uses f-string
(G004)
44-44: Missing return type annotation for public function
instantiatie_impl_checks
(ANN201)
44-44: Missing type annotation for function argument
rule
(ANN001)
45-45: Logging statement uses f-string
(G004)
47-47: Logging statement uses f-string
(G004)
55-55: Unnecessary
else
afterreturn
statementRemove unnecessary
else
(RET505)
56-56: Avoid specifying long messages outside the exception class
(TRY003)
61-61: Logging statement uses f-string
(G004)
67-67: Logging statement uses f-string
(G004)
67-67: Trailing comma missing
Add trailing comma
(COM812)
72-72: Logging statement uses f-string
(G004)
72-72: Redundant exception object included in
logging.exception
call(TRY401)
74-74: Logging statement uses f-string
(G004)
81-81: Missing type annotation for
self
in method(ANN101)
85-85: Missing type annotation for
self
in method(ANN101)
92-92: Missing type annotation for
self
in method(ANN101)
111-111: Avoid specifying long messages outside the exception class
(TRY003)
113-113: Avoid specifying long messages outside the exception class
(TRY003)
117-117: Missing type annotation for
self
in method(ANN101)
121-121: Logging statement uses f-string
(G004)
130-130: Do not catch blind exception:
Exception
(BLE001)
131-131: Use
logging.exception
instead oflogging.error
Replace with
exception
(TRY400)
131-131: Logging statement uses f-string
(G004)
133-133:
return
insidefinally
blocks cause exceptions to be silenced(B012)
sema/check/implementations/test_example.py
9-9: Missing type annotation for
self
in method(ANN101)
sema/check/sinks/csv_sink.py
9-9: Missing return type annotation for public function
write_csv
Add return type annotation:
None
(ANN201)
23-23: Trailing comma missing
Add trailing comma
(COM812)
sema/check/sinks/html_sink.py
57-57: Replace aliased errors with
OSError
Replace
IOError
with builtinOSError
(UP024)
sema/check/sinks/yml_sink.py
10-10: Missing return type annotation for public function
write_yml
Add return type annotation:
None
(ANN201)
tests/check/test_check_service.py
55-55: Assertion always fails, replace with
pytest.fail()
(PT015)
55-55: Do not
assert False
(python -O
removes these calls), raiseAssertionError()
Replace
assert False
(B011)
57-57: Found assertion on exception
e
inexcept
block, usepytest.raises()
instead(PT017)
tests/check/test_sinks.py
84-84: Missing return type annotation for public function
test_write_yml
Add return type annotation:
None
(ANN201)
🔇 Additional comments (23)
sema/check/sinks/yml_sink.py (2)
1-8
: 🧹 Nitpick (assertive)Consider adding a module-level docstring.
To improve code documentation and maintainability, it would be beneficial to add a module-level docstring explaining the purpose of this YAML sink module and its role in the larger system.
Example:
""" This module provides functionality to write check results to a YAML file. It defines a `write_yml` function that takes a list of CheckResult objects and serializes them into a YAML format, writing the output to a specified file. """
10-12
: 🛠️ Refactor suggestion
⚠️ Potential issueEnhance error handling, consider edge cases, and improve type annotations.
The current implementation of
write_yml
can be improved in several ways:
- Add error handling for file operations and YAML serialization.
- Check for empty results list.
- Add a return type annotation.
- Consider a more robust serialization method for CheckResult objects.
Here's an example of how you could improve the function:
from typing import List import yaml from sema.check.base import CheckResult def write_yml(results: List[CheckResult], output_file: str) -> None: if not results: print("Warning: No results to write.") return try: with open(output_file, "w") as f: yaml.dump([result.to_dict() for result in results], f) except IOError as e: print(f"Error writing to file {output_file}: {e}") except yaml.YAMLError as e: print(f"Error in YAML serialization: {e}") # In the CheckResult class: def to_dict(self): return { 'attribute1': self.attribute1, 'attribute2': self.attribute2, # ... other attributes }This version:
- Handles potential file I/O errors and YAML serialization errors.
- Warns if the results list is empty.
- Includes the return type annotation.
- Uses a
to_dict()
method for more controlled serialization of CheckResult objects.🧰 Tools
🪛 Ruff
10-10: Missing return type annotation for public function
write_yml
Add return type annotation:
None
(ANN201)
sema/check/__init__.py (3)
1-2
: Module comment is correct and up-to-date.The comment accurately reflects the file path, which addresses a previous review comment. Good job on keeping the documentation in sync with the code structure.
3-7
: Imports are well-organized and follow best practices.The imports are clearly structured, each on a separate line, and import specific components. This approach enhances readability and maintainability. Good job on following Python import best practices.
1-16
: Overall, well-structured module initializer.This
__init__.py
file effectively serves as an initializer for thecheck
module. It properly imports and exposes the necessary components, following good Python practices. The only minor suggestion is to reorder the__all__
list for consistency with the import order. Great job on creating a clean and organized module structure!sema/check/base.py (1)
1-5
: LGTM: Imports are appropriateThe imports from
abc
anddataclasses
modules are correctly used for defining the abstract base class and data class in this file.sema/check/sinks/csv_sink.py (1)
1-8
: Imports and structure look good.The imports are appropriate for the CSV writing functionality, and the overall structure of the file is clean and follows good practices.
tests/check/test_sema_check_cli.py (3)
1-7
: LGTM: Well-structured imports and logger setup.The imports are appropriate for the test file's needs, and using
Path
frompathlib
ensures cross-platform compatibility. The logger setup follows best practices.
1-37
: LGTM: Well-structured test with minor suggestions for improvement.Overall, this test file is well-structured and implements good testing practices. It effectively tests the CLI functionality across multiple output formats and includes proper setup and cleanup procedures. The suggestions provided in the previous comment will further enhance the robustness of the tests by ensuring both the creation and correct content of output files.
10-37
: 🛠️ Refactor suggestionVerify assertion logic and consider adding content checks.
- The assertion on line 22 checks for failure (
not success
). Please verify if this is intentional:assert ( not success ), f"sema-check failed for output format: {output}"If you expect the
query_main
function to returnTrue
on success, you might want to change this to:assert success, f"sema-check failed for output format: {output}"
- Consider adding more specific content checks for each output format. For example:
if output == "csv": assert output_file.read_text().startswith("column1,column2"), f"Unexpected CSV content for {output}" elif output == "html": assert "<html" in output_file.read_text(), f"Unexpected HTML content for {output}" elif output == "yml": assert output_file.read_text().startswith("---"), f"Unexpected YAML content for {output}"These additional checks would ensure that the output files not only exist but also contain the expected content structure.
tests/check/out/test_results.html (3)
1-7
: Well-structured HTML5 document with proper metadataThe HTML structure follows HTML5 standards, and includes essential metadata such as charset, viewport, and title. This is a good practice for ensuring proper rendering and SEO.
16-43
: Well-structured and semantic table for test resultsThe body content is well-organized, using semantic HTML elements like
<thead>
and<tbody>
. The use of CSS classes for success and error states is a good practice for visual feedback.
1-61
: Overall improvement with room for minor enhancementsThe current implementation of
test_results.html
is a significant improvement over the version mentioned in the past review comments. It addresses most of the concerns raised earlier, including proper HTML5 structure, semantic elements, and basic styling.To further enhance the file:
- Consider moving the CSS to an external file for better separation of concerns.
- Remove the duplicate table rows at the end of the file.
These changes will make the code more maintainable and eliminate redundancy. Great job on the improvements made so far!
sema/check/implementations/test_example.py (2)
3-5
: LGTM: Imports are appropriate and concise.The imports are well-chosen for the functionality implemented in this file. Good job on keeping the imports minimal and relevant.
1-50
: Overall: Good start, but needs implementation of actual test logic.This file provides a good foundation for implementing tests, with appropriate error handling and a clear structure. However, there are a few key areas for improvement:
- Implement actual test logic in the
run
method instead of simulating success.- Enhance error handling with more specific exception cases.
- Convert TODO comments into trackable GitHub issues.
- Add the missing type annotation for
self
in therun
method.Once these improvements are made, this will serve as a solid example for implementing other tests in the system.
🧰 Tools
🪛 Ruff
9-9: Missing type annotation for
self
in method(ANN101)
tests/check/test_check_service.py (2)
1-10
: LGTM: Imports and logger setup are appropriate.The necessary functions are imported from the
sema.check.check
module, and a logger is set up for debugging purposes. This is a good practice for unit testing.
1-67
: Overall, good test coverage with room for improvements.This test file provides good coverage for the
sema.check.check
module. The tests are well-structured and cover the main functionalities. However, there are several opportunities for improvement:
- Correct the typo in the
test_instantiatie_impl_checks
function name.- Remove the duplicate assertion in
test_load_yaml_file
.- Refactor
test_instantiate_unknown_type
to usepytest.raises()
.- Enhance
test_run_tests
with more comprehensive checks.Implementing these suggestions will result in more robust and maintainable tests.
🧰 Tools
🪛 Ruff
55-55: Assertion always fails, replace with
pytest.fail()
(PT015)
55-55: Do not
assert False
(python -O
removes these calls), raiseAssertionError()
Replace
assert False
(B011)
57-57: Found assertion on exception
e
inexcept
block, usepytest.raises()
instead(PT017)
tests/check/test_sinks.py (2)
1-7
: LGTM: Well-organized import statementsThe import statements are logically grouped and include all necessary modules and functions for the tests. Good job on following import best practices.
1-119
: Overall excellent test coverage and structureThis test file provides comprehensive coverage for the CSV, HTML, and YAML writing functions. The tests are well-structured, following a consistent pattern of arranging test data, acting by calling the respective write function, and asserting the results.
Key strengths:
- Thorough testing of both successful and failed scenarios
- Appropriate use of the
CheckResult
class for test data- Comprehensive assertions covering all relevant fields
The minor suggestions provided earlier will further improve the already high-quality test suite. Great job on creating these tests!
🧰 Tools
🪛 Ruff
84-84: Missing return type annotation for public function
test_write_yml
Add return type annotation:
None
(ANN201)
sema/check/README.md (2)
1-155
: Excellent README for the Sema Check ModuleThis README provides a comprehensive and well-structured overview of the Sema Check Module. It effectively covers test configuration, base class structure, and process flow, including helpful YAML examples, Python code snippets, and a clear Mermaid flowchart.
The content is informative and easy to follow, with only minor suggestions for improvement in formatting and consistency. Great job on creating a thorough and user-friendly documentation!
🧰 Tools
🪛 LanguageTool
[uncategorized] ~24-~24: Loose punctuation mark.
Context: ...t with the following structure: -url
: The target URL for the test (required) ...(UNLIKELY_OPENING_PUNCTUATION)
[uncategorized] ~26-~26: Loose punctuation mark.
Context: ... the implemented test types. -options
: A map of key-value pairs for additional...(UNLIKELY_OPENING_PUNCTUATION)
[grammar] ~100-~100: This phrase is duplicated. You should probably use “the CLI” only once.
Context: ...he sema-check process: 1. User invokes the CLI 2. The CLI module parses arguments and initiates t...(PHRASE_REPETITION)
[uncategorized] ~104-~104: The preposition ‘in’ seems more likely in this position.
Context: ...lts are collected 5. Results are output to various formats (CSV, HTML, YML) using ...(AI_HYDRA_LEO_REPLACE_TO_IN)
22-26
: 🧹 Nitpick (assertive)Fix loose punctuation marks
There are some loose punctuation marks in the list structure.
Apply these changes to fix the issue:
-The YAML configuration for tests defines the parameters for each test to be executed. Each test is represented by a YAML object with the following structure: +The YAML configuration for tests defines the parameters for each test to be executed. Each test is represented by a YAML object with the following structure: -- `url`: The target URL for the test (required) -- `type`: The type of test to be performed (required). Possible values depend on the implemented test types. -- `options`: A map of key-value pairs for additional test parameters (optional) +- `url`: The target URL for the test (required) +- `type`: The type of test to be performed (required). Possible values depend on the implemented test types. +- `options`: A map of key-value pairs for additional test parameters (optional)Likely invalid or redundant comment.
🧰 Tools
🪛 LanguageTool
[uncategorized] ~24-~24: Loose punctuation mark.
Context: ...t with the following structure: -url
: The target URL for the test (required) ...(UNLIKELY_OPENING_PUNCTUATION)
[uncategorized] ~26-~26: Loose punctuation mark.
Context: ... the implemented test types. -options
: A map of key-value pairs for additional...(UNLIKELY_OPENING_PUNCTUATION)
sema/check/__main__.py (1)
46-46
:⚠️ Potential issueAdd type annotation for
*args_list
in_main
functionAdding type annotations enhances code readability and helps with static type checking. Please specify the expected type for
*args_list
.Apply this diff to add the type annotation:
-def _main(*args_list) -> bool: +def _main(*args_list: str) -> bool:🧰 Tools
🪛 Ruff
46-46: Missing type annotation for
*args_list
(ANN002)
sema/check/sinks/html_sink.py (1)
8-80
: LGTM!The
write_html
function is well-implemented and effectively generates the HTML report for the test results.🧰 Tools
🪛 Ruff
57-57: Replace aliased errors with
OSError
Replace
IOError
with builtinOSError
(UP024)
__all__ = [ | ||
"run_tests", | ||
"CheckBase", | ||
"Check", | ||
"write_csv", | ||
"write_html", | ||
"write_yml", | ||
] |
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🧹 Nitpick (assertive)
Consider reordering __all__
list for consistency with imports.
While the __all__
list correctly includes all imported components, its order doesn't match the order of imports. For improved readability and consistency, consider reordering the items in the __all__
list to match the order of imports.
Here's a suggested reordering:
__all__ = [
- "run_tests",
- "CheckBase",
- "Check",
+ "CheckBase",
+ "Check",
+ "run_tests",
"write_csv",
"write_html",
"write_yml",
]
📝 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.
__all__ = [ | |
"run_tests", | |
"CheckBase", | |
"Check", | |
"write_csv", | |
"write_html", | |
"write_yml", | |
] | |
__all__ = [ | |
"CheckBase", | |
"Check", | |
"run_tests", | |
"write_csv", | |
"write_html", | |
"write_yml", | |
] |
@dataclass | ||
class CheckResult: | ||
success: bool | ||
error: bool | ||
message: str | ||
url: str | ||
type_test: str | ||
|
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🧹 Nitpick (assertive)
LGTM with a suggestion: Consider simplifying boolean flags
The CheckResult
dataclass is well-structured and uses appropriate types for its attributes. However, consider simplifying the boolean flags:
- Having both
success
anderror
as separate boolean flags might lead to inconsistent states (e.g., both True or both False). - You could use a single
status
attribute instead, which could be an enum with values like SUCCESS, ERROR, and possibly PENDING or SKIPPED.
Would you like me to provide an example of how to refactor this using an enum?
class CheckBase(ABC): | ||
def __init__(self, url: str, type_test: str, options: dict): | ||
self.url = url | ||
self.type = type_test | ||
self.options = options | ||
self.result = CheckResult( | ||
success=False, | ||
error=False, | ||
message="", | ||
url=url, | ||
type_test=type_test, | ||
) | ||
|
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🧹 Nitpick (assertive)
LGTM with a suggestion: Reconsider default CheckResult
The CheckBase
class is well-structured as an abstract base class. However, consider the following suggestion:
- The default
CheckResult
in__init__
setssuccess=False
. This might not be ideal as it assumes failure by default. Consider usingNone
or a separate state likePENDING
to indicate that the check hasn't been run yet.
Would you like an example of how to implement this suggestion?
🧰 Tools
🪛 Ruff
17-17: Missing return type annotation for special method
__init__
Add return type annotation:
None
(ANN204)
17-17: Missing type annotation for
self
in method(ANN101)
@abstractmethod | ||
def run(self) -> CheckResult: | ||
pass |
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🧹 Nitpick (assertive)
Add a docstring to the run method
The run
method lacks a docstring. Adding one would improve the clarity of the interface for implementers. For example:
@abstractmethod
def run(self) -> CheckResult:
"""
Execute the check and return the result.
This method should be implemented by subclasses to perform the actual check.
Returns:
CheckResult: The result of the check.
"""
pass
🧰 Tools
🪛 Ruff
30-30: Missing type annotation for
self
in method(ANN101)
|
||
|
||
class CheckBase(ABC): | ||
def __init__(self, url: str, type_test: str, options: dict): |
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🧹 Nitpick (assertive)
Add return type annotation to init method
To improve type hinting, add a return type annotation to the __init__
method:
def __init__(self, url: str, type_test: str, options: dict) -> None:
This addresses the Ruff hint ANN204.
🧰 Tools
🪛 Ruff
17-17: Missing return type annotation for special method
__init__
Add return type annotation:
None
(ANN204)
17-17: Missing type annotation for
self
in method(ANN101)
log = logging.getLogger(__name__) | ||
|
||
|
||
def load_yaml_files(input_folder): |
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🛠️ Refactor suggestion
Add type annotations to the load_yaml_files
function.
The function load_yaml_files
lacks type annotations for its parameter input_folder
and its return type. Adding type annotations improves code readability and assists with static analysis and type checking.
Apply this diff to add type annotations:
-def load_yaml_files(input_folder):
+def load_yaml_files(input_folder: str) -> List[Dict[str, Any]]:
📝 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.
def load_yaml_files(input_folder): | |
def load_yaml_files(input_folder: str) -> List[Dict[str, Any]]: | |
``` | |
Note: To use this suggestion, you'll need to ensure that the necessary imports are present at the top of the file, such as: | |
```python | |
from typing import List, Dict, Any |
🧰 Tools
🪛 Ruff
17-17: Missing return type annotation for public function
load_yaml_files
(ANN201)
17-17: Missing type annotation for function argument
input_folder
(ANN001)
else: | ||
raise ValueError(f"Unknown test type: {test_type}") |
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🧹 Nitpick (assertive)
Remove unnecessary else
after return
statement.
Since the if
block ends with a return
, the subsequent else
block is unnecessary. Removing it simplifies the code and improves readability.
Apply this diff:
- else:
- raise ValueError(f"Unknown test type: {test_type}")
+ raise ValueError(f"Unknown test type: {test_type}")
📝 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.
else: | |
raise ValueError(f"Unknown test type: {test_type}") | |
raise ValueError(f"Unknown test type: {test_type}") |
🧰 Tools
🪛 Ruff
55-55: Unnecessary
else
afterreturn
statementRemove unnecessary
else
(RET505)
56-56: Avoid specifying long messages outside the exception class
(TRY003)
yaml_files = [ | ||
f | ||
for f in os.listdir(input_folder) | ||
if f.endswith(".yaml") or f.endswith(".yml") |
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🛠️ Refactor suggestion
Simplify endswith
by using a tuple of suffixes.
Instead of checking each file extension separately, you can pass a tuple of suffixes to endswith
for more concise and efficient code.
Apply this diff:
- if f.endswith(".yaml") or f.endswith(".yml"):
+ if f.endswith((".yaml", ".yml")):
📝 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.
if f.endswith(".yaml") or f.endswith(".yml") | |
if f.endswith((".yaml", ".yml")): |
🧰 Tools
🪛 Ruff
22-22: Call
endswith
once with atuple
Merge into a single
endswith
call(PIE810)
result = test.run() | ||
results.append(result) | ||
except Exception as e: | ||
log.exception(f"Error running test {i}/{len(rules)}: {e}") |
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🧹 Nitpick (assertive)
Remove redundant exception information in log.exception
call.
When using log.exception()
, the exception information is automatically included in the log message and traceback. Including the exception object e
in the message is redundant.
Apply this diff:
- log.exception(f"Error running test {i}/{len(rules)}: {e}")
+ log.exception(f"Error running test {i}/{len(rules)}")
📝 Committable suggestion
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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.
log.exception(f"Error running test {i}/{len(rules)}: {e}") | |
log.exception(f"Error running test {i}/{len(rules)}") |
🧰 Tools
🪛 Ruff
72-72: Logging statement uses f-string
(G004)
72-72: Redundant exception object included in
logging.exception
call(TRY401)
except Exception: | ||
log.error(f"Error parsing {file}") | ||
except Exception: | ||
log.exception(f"Error loading {file}") |
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Avoid catching broad exceptions without specifying the exception type.
Catching Exception
can mask unexpected errors and make debugging difficult. It's better to catch specific exceptions that you anticipate, such as yaml.YAMLError
for YAML parsing errors or OSError
for file-related errors.
Consider updating the except
clauses to catch specific exceptions:
- except Exception:
+ except yaml.YAMLError:
And:
- except Exception:
+ except OSError:
Committable suggestion was skipped due to low confidence.
🧰 Tools
🪛 Ruff
36-36: Do not catch blind exception:
Exception
(BLE001)
37-37: Use
logging.exception
instead oflogging.error
Replace with
exception
(TRY400)
37-37: Logging statement uses f-string
(G004)
39-39: Logging statement uses f-string
(G004)
tackles issue #111 , #112
Summary by CodeRabbit
Release Notes
New Features
test_results.html
) for structured display of test results.results.html
) to present test results in a tabular format.Documentation
README.md
with details on YAML format for test configurations and added a flowchart for the testing process.Tests