mirror of
https://github.com/Xe138/AI-Trader.git
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Bill
14cf88f642
Major improvements: - Fixed all 42 broken tests (database connection leaks) - Added db_connection() context manager for proper cleanup - Created comprehensive test suites for undertested modules New test coverage: - tools/general_tools.py: 26 tests (97% coverage) - tools/price_tools.py: 11 tests (validates NASDAQ symbols, date handling) - api/price_data_manager.py: 12 tests (85% coverage) - api/routes/results_v2.py: 3 tests (98% coverage) - agent/reasoning_summarizer.py: 2 tests (87% coverage) - api/routes/period_metrics.py: 2 edge case tests (100% coverage) - agent/mock_provider: 1 test (100% coverage) Database fixes: - Added db_connection() context manager to prevent leaks - Updated 16+ test files to use context managers - Fixed drop_all_tables() to match new schema - Added CHECK constraint for action_type - Added ON DELETE CASCADE to trading_days foreign key Test improvements: - Updated SQL INSERT statements with all required fields - Fixed date parameter handling in API integration tests - Added edge case tests for validation functions - Fixed import errors across test suite Results: - Total coverage: 84.81% (was 61%) - Tests passing: 406 (was 364 with 42 failures) - Total lines covered: 6364 of 7504 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
78 lines
2.9 KiB
Python
78 lines
2.9 KiB
Python
"""Unit tests for tools/price_tools.py utility functions."""
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import pytest
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from datetime import datetime
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from tools.price_tools import get_yesterday_date, all_nasdaq_100_symbols
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@pytest.mark.unit
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class TestGetYesterdayDate:
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"""Test get_yesterday_date function."""
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def test_get_yesterday_date_weekday(self):
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"""Should return previous day for weekdays."""
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# Thursday -> Wednesday
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result = get_yesterday_date("2025-01-16")
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assert result == "2025-01-15"
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def test_get_yesterday_date_monday(self):
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"""Should skip weekend when today is Monday."""
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# Monday 2025-01-20 -> Friday 2025-01-17
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result = get_yesterday_date("2025-01-20")
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assert result == "2025-01-17"
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def test_get_yesterday_date_sunday(self):
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"""Should skip to Friday when today is Sunday."""
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# Sunday 2025-01-19 -> Friday 2025-01-17
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result = get_yesterday_date("2025-01-19")
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assert result == "2025-01-17"
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def test_get_yesterday_date_saturday(self):
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"""Should skip to Friday when today is Saturday."""
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# Saturday 2025-01-18 -> Friday 2025-01-17
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result = get_yesterday_date("2025-01-18")
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assert result == "2025-01-17"
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def test_get_yesterday_date_tuesday(self):
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"""Should return Monday for Tuesday."""
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# Tuesday 2025-01-21 -> Monday 2025-01-20
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result = get_yesterday_date("2025-01-21")
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assert result == "2025-01-20"
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def test_get_yesterday_date_format(self):
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"""Should maintain YYYY-MM-DD format."""
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result = get_yesterday_date("2025-03-15")
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# Verify format
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datetime.strptime(result, "%Y-%m-%d")
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assert result == "2025-03-14"
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@pytest.mark.unit
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class TestNasdaqSymbols:
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"""Test NASDAQ 100 symbols list."""
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def test_all_nasdaq_100_symbols_exists(self):
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"""Should have NASDAQ 100 symbols list."""
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assert all_nasdaq_100_symbols is not None
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assert isinstance(all_nasdaq_100_symbols, list)
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def test_all_nasdaq_100_symbols_count(self):
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"""Should have approximately 100 symbols."""
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# Allow some variance for index changes
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assert 95 <= len(all_nasdaq_100_symbols) <= 105
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def test_all_nasdaq_100_symbols_contains_major_stocks(self):
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"""Should contain major tech stocks."""
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major_stocks = ["AAPL", "MSFT", "GOOGL", "AMZN", "NVDA", "TSLA", "META"]
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for stock in major_stocks:
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assert stock in all_nasdaq_100_symbols
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def test_all_nasdaq_100_symbols_no_duplicates(self):
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"""Should not contain duplicate symbols."""
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assert len(all_nasdaq_100_symbols) == len(set(all_nasdaq_100_symbols))
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def test_all_nasdaq_100_symbols_all_uppercase(self):
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"""All symbols should be uppercase."""
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for symbol in all_nasdaq_100_symbols:
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assert symbol.isupper()
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assert symbol.isalpha() or symbol.isalnum()
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