Back to Repositories

Testing Code Suggestion Parser Implementation in PR Agent

This test suite validates the parse_code_suggestion function which converts dictionary-based code suggestions into markdown format. The tests verify proper handling of code examples, formatting, and various input scenarios.

Test Coverage Overview

The test suite provides comprehensive coverage of the parse_code_suggestion functionality, focusing on dictionary-to-markdown conversion scenarios.

Tests empty dictionary inputs
Validates non-string values in before/after fields
Verifies handling of missing code example keys
Tests complete code suggestion formatting

Implementation Analysis

The testing approach uses pytest fixtures and assertion-based validation to verify markdown output formatting.

Structured test cases for different input scenarios
String comparison for exact markdown output validation
Consistent testing patterns for code example formatting

Technical Details

Testing Framework: pytest
Key Dependencies: parse_code_suggestion utility
Test Structure: Class-based organization
Validation Method: String comparison with expected markdown output

Best Practices Demonstrated

The test suite demonstrates strong testing practices through isolated test cases and comprehensive scenario coverage.

Clear test case naming and organization
Explicit expected outputs
Edge case handling
Consistent assertion patterns

codium-ai/pr-agent

tests/unittest/test_parse_code_suggestion.py

            

# Generated by CodiumAI
from pr_agent.algo.utils import parse_code_suggestion

"""
Code Analysis

Objective:
The objective of the function is to convert a dictionary into a markdown format. The function takes in a dictionary as
input and recursively converts it into a markdown format. The function is specifically designed to handle dictionaries
that contain code suggestions.

Inputs:
- output_data: a dictionary containing the data to be converted into markdown format

Flow:
- Initialize an empty string variable called markdown_text
- Create a dictionary of emojis to be used in the markdown format
- Iterate through the items in the input dictionary
- If the value is empty, skip to the next item
- If the value is a dictionary, recursively call the function with the value as input
- If the value is a list, iterate through the list and add each item to the markdown format
- If the value is not 'n/a', add it to the markdown format
- If the key is 'code suggestions', call the parse_code_suggestion function to handle the list of code suggestions
- Return the markdown format as a string

Outputs:
- markdown_text: a string containing the input dictionary converted into markdown format

Additional aspects:
- The function uses the textwrap module to indent code examples in the markdown format
- The parse_code_suggestion function is called to handle the 'code suggestions' key in the input dictionary
- The function uses emojis to add visual cues to the markdown format
"""


class TestParseCodeSuggestion:
    # Tests that function returns empty string when input is an empty dictionary
    def test_empty_dict(self):
        input_data = {}
        expected_output = "
"  # modified to expect a newline character
        assert parse_code_suggestion(input_data) == expected_output


    # Tests that function returns correct output when 'before' or 'after' key has a non-string value
    def test_non_string_before_or_after(self):
        input_data = {
            "Code example": {
                "Before": 123,
                "After": ["a", "b", "c"]
            }
        }
        expected_output = "  - **Code example:**
    - **Before:**
        ```
        123
        ```
    - **After:**
        ```
        ['a', 'b', 'c']
        ```

"  # noqa: E501
        assert parse_code_suggestion(input_data) == expected_output

    # Tests that function returns correct output when input dictionary does not have 'code example' key
    def test_no_code_example_key(self):
        code_suggestions = {
            'suggestion': 'Suggestion 1',
            'description': 'Description 1',
            'before': 'Before 1',
            'after': 'After 1'
        }
        expected_output = '   **suggestion:** Suggestion 1     
   **description:** Description 1     
   **before:** Before 1     
   **after:** After 1     

'  # noqa: E501
        assert parse_code_suggestion(code_suggestions) == expected_output

    # Tests that function returns correct output when input dictionary has 'code example' key
    def test_with_code_example_key(self):
        code_suggestions = {
            'suggestion': 'Suggestion 2',
            'description': 'Description 2',
            'code example': {
                'before': 'Before 2',
                'after': 'After 2'
            }
        }
        expected_output = '   **suggestion:** Suggestion 2     
   **description:** Description 2     
  - **code example:**
    - **before:**
        ```
        Before 2
        ```
    - **after:**
        ```
        After 2
        ```

'  # noqa: E501
        assert parse_code_suggestion(code_suggestions) == expected_output