Release 0.3.1 #39
Release 0.3.1 #39
Conversation
* fix[chat_bubble]: always place bubble at the end of the sentence * fix[chat_bubble]: remove extra print statements * fix[chat_bubble]: refactor code to optimum aglo for finding index * fix(chat_bubble): adding test cases for chat method * fix(chat_bubble): adding test cases for chat method * fix(chat_bubble): adding test cases for chat method
WalkthroughThe changes in this pull request focus on enhancing the functionality of the Changes
Possibly related PRs
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Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## main #39 +/- ##
==========================================
+ Coverage 57.15% 60.10% +2.95%
==========================================
Files 37 37
Lines 1706 1717 +11
==========================================
+ Hits 975 1032 +57
+ Misses 731 685 -46 ☔ View full report in Codecov by Sentry. |
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Actionable comments posted: 5
🧹 Outside diff range and nitpick comments (4)
backend/tests/utils/test_sentence_endings.py (1)
7-35: LGTM! Comprehensive test suite with clear test cases.The test methods are well-organized with descriptive names and clear assertions. Each test case has helpful comments explaining the expected indices.
Consider adding these test cases for more comprehensive coverage:
def test_consecutive_punctuation(self): text = "Really?! That's amazing..." expected = [8, 24, len(text)] self.assertEqual(find_sentence_endings(text), expected) def test_quoted_sentences(self): text = 'He said "Stop!" and walked away.' expected = [19, 35, len(text)] self.assertEqual(find_sentence_endings(text), expected) def test_unicode_punctuation(self): text = "First sentence。Second sentence？Third sentence！" expected = [14, 29, 43, len(text)] self.assertEqual(find_sentence_endings(text), expected)backend/tests/utils/test_following_sentence_ending.py (1)
1-6: Remove extra blank line for better code organization.Apply this diff to remove the extra blank line:
import unittest from app.utils import find_following_sentence_ending - class TestFindFollowingSentenceEnding(unittest.TestCase):backend/app/utils.py (1)
69-90: Well-designed solution for sentence boundary detection.The implementation aligns well with the PR objectives. The combination of regex-based sentence detection and binary search provides an efficient O(log n) solution for finding sentence boundaries, which will help ensure consistent chat bubble placement.
Some architectural benefits:
- Separation of concerns: Split into two focused utility functions
- Reusability: Can be used for other text processing needs
- Performance: Efficient binary search implementation
backend/tests/api/v1/test_chat.py (1)
360-376: Consider expanding error handling test coverage.While the current error test is good, consider adding more test cases for different types of errors:
- Invalid conversation_id
- Empty query
- Rate limiting
- Authentication/Authorization errors
Here's an example of how to add a test for invalid conversation_id:
def test_chat_endpoint_invalid_conversation_id(mock_db, mock_vectorstore, mock_chat_query): # Arrange project_id = 1 chat_request = { "query": "Valid query", "conversation_id": "invalid_id" } mock_conversation_repository.get_conversation.side_effect = ValueError("Conversation not found") # Act response = client.post(f"/v1/chat/project/{project_id}", json=chat_request) # Assert assert response.status_code == 404 assert "Conversation not found" in response.json()["detail"]
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Review profile: CHILL
📒 Files selected for processing (5)
- backend/app/api/v1/chat.py (4 hunks)
- backend/app/utils.py (2 hunks)
- backend/tests/api/v1/test_chat.py (3 hunks)
- backend/tests/utils/test_following_sentence_ending.py (1 hunks)
- backend/tests/utils/test_sentence_endings.py (1 hunks)
🧰 Additional context used
📓 Learnings (1)
backend/tests/utils/test_following_sentence_ending.py (1)
Learnt from: ArslanSaleem PR: Sinaptik-AI/panda-etl#38 File: backend/tests/utils/test_following_sentence_ending.py:7-41 Timestamp: 2024-10-24T12:22:18.510Z Learning: Negative indices are not applicable in test cases for the `find_following_sentence_ending` function, as negative indices cannot occur in this context.
🔇 Additional comments (12)
backend/tests/utils/test_sentence_endings.py (4)
1-5: LGTM! Clean and well-organized imports.The import statements are minimal and follow Python conventions with proper spacing.
6-6: LGTM! Well-structured test class declaration.The class name is descriptive and follows testing conventions.
37-39: LGTM! Standard test runner setup.The test runner follows Python best practices with the proper main guard.
1-39: Verify sentence ending detection accuracy for chat bubble placement.The test suite aligns well with the PR objective of improving chat bubble placement at sentence endings. However, let's verify that the implementation handles all edge cases that might affect bubble placement in the chat interface.
✅ Verification successful
Test suite comprehensively validates sentence ending detection implementation
The test suite effectively covers the core functionality needed for chat bubble placement:
- The implementation correctly identifies sentence endings using regex pattern
[.!?](?:\s|$)- Tests verify all essential cases: basic sentences, multiple punctuation, trailing whitespace, abbreviations, and empty strings
- The function is properly integrated into the chat API where it's used to determine sentence endings for content processing
The test coverage aligns perfectly with the implementation and its actual usage in the chat interface.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Search for related test files and implementation echo "Related test files:" fd test_sentence test/ echo -e "\nImplementation files:" fd sentence app/ echo -e "\nUsage in chat-related files:" rg -l "find_sentence_endings" app/Length of output: 489
Script:
#!/bin/bash # Search for related test files and implementation with correct paths echo "Related test files:" fd test_sentence backend/tests/ echo -e "\nImplementation files:" fd sentence backend/app/ echo -e "\nImplementation of find_sentence_endings:" ast-grep --pattern 'def find_sentence_endings($$$):' echo -e "\nUsage in chat-related files:" rg -l "find_sentence_endings" backend/Length of output: 570
Script:
#!/bin/bash # Let's examine the implementation and its usage in chat echo "Implementation in utils.py:" rg -A 10 "def find_sentence_endings" backend/app/utils.py echo -e "\nUsage in chat.py:" rg -B 2 -A 2 "find_sentence_endings" backend/app/api/v1/chat.pyLength of output: 1158
backend/tests/utils/test_following_sentence_ending.py (2)
43-45: LGTM! Test runner implementation follows best practices.
3-3: Verify the integration with chat functionality.Let's verify how this utility function is integrated with the chat functionality.
✅ Verification successful
Integration with chat functionality is properly tested and implemented
The function is correctly integrated in the chat functionality:
- Used in
backend/app/api/v1/chat.pyto find text boundaries for reference extraction- Well-tested with comprehensive test cases covering various scenarios:
- Basic sentence boundary detection
- Edge cases (empty endings, last ending)
- Boundary conditions
- First sentence handling
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Check how find_following_sentence_ending is used in chat.py # and verify there are no other usages that might need testing # Check direct usage of the function rg -l "find_following_sentence_ending" --type py # Look for the actual implementation to understand the function's behavior ast-grep --pattern 'def find_following_sentence_ending($params) { $$$ }'Length of output: 225
Script:
#!/bin/bash # Let's examine the actual implementation and usage in chat.py # Check the implementation in utils.py rg -A 5 "def find_following_sentence_ending" backend/app/utils.py # Check how it's used in chat.py rg -A 5 "find_following_sentence_ending" backend/app/api/v1/chat.py # Look at the test file to understand the expected behavior rg -A 5 "def test_" backend/tests/utils/test_following_sentence_ending.pyLength of output: 2585
backend/app/utils.py (1)
2-2: LGTM: Imports are properly organized and necessary.The new imports support type hints and binary search functionality used in the new utility functions.
Also applies to: 9-9
backend/app/api/v1/chat.py (3)
14-14: LGTM: Clean import addition for sentence boundary detection.The new utility imports align well with the PR's objective of improving chat bubble placement.
97-97: LGTM: Good optimization for sentence boundary detection.Pre-calculating sentence endings for the entire content is an efficient approach that prevents redundant calculations in the reference handling loop.
125-130: Add error handling for sentence boundary edge cases.While the new sentence boundary detection is more robust, consider handling edge cases where:
- The sentence might not be found in the content (index == -1)
- No following sentence ending is found (reference_ending_index could be None)
Let's verify the edge case handling in the utility functions:
backend/tests/api/v1/test_chat.py (2)
Line range hint
18-48: Well-structured fixture setup!The fixtures are well-organized, properly scoped, and follow good testing practices by isolating external dependencies. The use of context managers ensures proper cleanup of mocks.
309-425: Comprehensive test coverage with well-structured test cases!The test cases effectively cover the main functionality paths including success scenarios, conversation management, reference processing, and error handling.
fix[chat_bubble]: always place bubble at the end of the sentence
fix[chat_bubble]: remove extra print statements
fix[chat_bubble]: refactor code to optimum aglo for finding index
fix(chat_bubble): adding test cases for chat method
fix(chat_bubble): adding test cases for chat method
fix(chat_bubble): adding test cases for chat method
Summary by CodeRabbit
New Features
Bug Fixes
Tests