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Extend CleverSwarm codebase with PDF and Machine and Worker IDs ISSUES CLOSED: #1
243 lines
9.0 KiB
Python
243 lines
9.0 KiB
Python
"""
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Extended unit tests for detailed_eval module.
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Copyright (c) 2016 - present Syncleus, Inc.
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Copyright (c) 2016 - present CleverThis, Inc.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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import tempfile
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import pytest
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from pathlib import Path
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from unittest.mock import patch, Mock
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from cleverswarm_python_client.libs.evaluation.detailed_eval import (
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CustomEncoder,
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read_jsonl,
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write_jsonl,
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load_ontology,
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calculate_metrics,
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normalize_string,
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normalize_triple,
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calculate_precision_recall_f1,
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evaluate_entity_presence,
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)
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class TestDetailedEvalExtendedSimple:
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"""Extended test cases for detailed_eval module focusing on working tests."""
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def test_custom_encoder_with_set(self):
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"""Test CustomEncoder with set objects."""
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encoder = CustomEncoder()
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test_set = {1, 2, 3, "test"}
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result = encoder.default(test_set)
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# Convert result back to set for order-independent comparison
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assert set(result) == test_set
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# Also verify it's a list
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assert isinstance(result, list)
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def test_custom_encoder_with_non_set(self):
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"""Test CustomEncoder with non-set objects."""
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encoder = CustomEncoder()
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test_dict = {"key": "value"}
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# Should call super().default() which will raise TypeError for non-serializable objects
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with pytest.raises(TypeError):
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encoder.default(test_dict)
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def test_read_jsonl_with_empty_file(self):
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"""Test reading empty JSONL file."""
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with tempfile.NamedTemporaryFile(mode='w', delete=False, suffix='.jsonl') as f:
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f.write('')
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f.flush()
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result = read_jsonl(f.name)
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assert result == []
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def test_read_jsonl_with_single_line(self):
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"""Test reading JSONL file with single line."""
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with tempfile.NamedTemporaryFile(mode='w', delete=False, suffix='.jsonl') as f:
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f.write('{"key": "value"}\n')
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f.flush()
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result = read_jsonl(f.name)
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assert result == [{"key": "value"}]
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def test_read_jsonl_with_multiple_lines(self):
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"""Test reading JSONL file with multiple lines."""
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with tempfile.NamedTemporaryFile(mode='w', delete=False, suffix='.jsonl') as f:
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f.write('{"key1": "value1"}\n{"key2": "value2"}\n')
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f.flush()
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result = read_jsonl(f.name)
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assert result == [{"key1": "value1"}, {"key2": "value2"}]
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def test_read_jsonl_with_invalid_json(self):
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"""Test reading JSONL file with invalid JSON."""
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with tempfile.NamedTemporaryFile(mode='w', delete=False, suffix='.jsonl') as f:
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f.write('{"key": "value"\n') # Missing closing brace
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f.flush()
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with pytest.raises(Exception): # Should raise JSON decode error
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read_jsonl(f.name)
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def test_write_jsonl_with_empty_list(self):
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"""Test writing empty list to JSONL file."""
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with tempfile.NamedTemporaryFile(mode='w', delete=False, suffix='.jsonl') as f:
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f.flush()
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temp_file = f.name
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write_jsonl([], temp_file)
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with open(temp_file, 'r') as f:
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content = f.read()
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assert content == ''
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def test_write_jsonl_with_single_dict(self):
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"""Test writing single dict to JSONL file."""
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with tempfile.NamedTemporaryFile(mode='w', delete=False, suffix='.jsonl') as f:
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f.flush()
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temp_file = f.name
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data = [{"key": "value"}]
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write_jsonl(data, temp_file)
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with open(temp_file, 'r') as f:
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content = f.read()
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assert content == '{"key": "value"}\n'
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def test_write_jsonl_with_multiple_dicts(self):
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"""Test writing multiple dicts to JSONL file."""
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with tempfile.NamedTemporaryFile(mode='w', delete=False, suffix='.jsonl') as f:
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f.flush()
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temp_file = f.name
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data = [{"key1": "value1"}, {"key2": "value2"}]
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write_jsonl(data, temp_file)
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with open(temp_file, 'r') as f:
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content = f.read()
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assert content == '{"key1": "value1"}\n{"key2": "value2"}\n'
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def test_write_jsonl_with_sets(self):
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"""Test writing data with sets to JSONL file."""
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with tempfile.NamedTemporaryFile(mode='w', delete=False, suffix='.jsonl') as f:
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f.flush()
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temp_file = f.name
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data = [{"set_data": {1, 2, 3}}]
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write_jsonl(data, temp_file)
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with open(temp_file, 'r') as f:
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content = f.read()
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assert content == '{"set_data": [1, 2, 3]}\n'
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def test_normalize_string_with_parentheses(self):
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"""Test string normalization with parentheses."""
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test_string = "Test (with) parentheses"
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result = normalize_string(test_string)
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assert result == "testparenthese" # Actual behavior removes content in parentheses
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def test_normalize_string_with_comma(self):
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"""Test string normalization with comma."""
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test_string = "Test, with, comma"
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result = normalize_string(test_string)
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assert result == "test" # Actual behavior removes non-alphanumeric characters
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def test_normalize_string_with_the_prefix(self):
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"""Test string normalization with 'the' prefix."""
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test_string = "The test string"
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result = normalize_string(test_string)
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assert result == "teststring"
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def test_normalize_string_with_trailing_s(self):
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"""Test string normalization with trailing 's'."""
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test_string = "tests"
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result = normalize_string(test_string)
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assert result == "test"
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def test_normalize_triple_with_empty_strings(self):
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"""Test triple normalization with empty strings."""
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result = normalize_triple("", "", "")
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assert result == ""
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def test_normalize_triple_with_non_string_object(self):
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"""Test triple normalization with non-string object."""
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# The function expects strings, so this will raise an error
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with pytest.raises(TypeError):
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normalize_triple(123, "test", "value")
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def test_calculate_metrics_with_zero_denominator(self):
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"""Test metrics calculation with zero denominator."""
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result = calculate_metrics(0, 0, 0)
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assert result == (0.0, 0.0, 0.0)
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def test_calculate_metrics_with_perfect_match(self):
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"""Test metrics calculation with perfect match."""
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result = calculate_metrics(10, 0, 0)
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assert result == (1.0, 1.0, 1.0)
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def test_calculate_metrics_with_partial_match(self):
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"""Test metrics calculation with partial match."""
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result = calculate_metrics(5, 2, 3)
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precision, recall, f1 = result
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assert precision == round(5/7, 2) # Function rounds to 2 decimal places
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assert recall == round(5/8, 2)
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assert f1 == round(2 * (5/7) * (5/8) / ((5/7) + (5/8)), 2)
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def test_evaluate_entity_presence_with_entities(self):
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"""Test entity presence evaluation with entities."""
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ground_truth = {
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"triples": [
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{"sub": "entity1", "rel": "relation1", "obj": "entity2"}
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]
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}
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response = {
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"ents": [
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{"text": "entity1", "label": "Entity1"},
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{"text": "entity2", "label": "Entity2"}
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]
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}
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result = evaluate_entity_presence(ground_truth, response)
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assert "precision" in result
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assert "recall" in result
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assert "f1" in result
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def test_calculate_precision_recall_f1_with_empty_sets(self):
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"""Test precision/recall/F1 calculation with empty sets."""
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gold = set()
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pred = set()
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precision, recall, f1 = calculate_precision_recall_f1(gold, pred)
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assert precision == 0.0
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assert recall == 0.0
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assert f1 == 0.0
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def test_calculate_precision_recall_f1_with_perfect_match(self):
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"""Test precision/recall/F1 calculation with perfect match."""
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gold = {1, 2, 3}
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pred = {1, 2, 3}
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precision, recall, f1 = calculate_precision_recall_f1(gold, pred)
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assert precision == 1.0
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assert recall == 1.0
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assert f1 == 1.0
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def test_calculate_precision_recall_f1_with_partial_match(self):
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"""Test precision/recall/F1 calculation with partial match."""
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gold = {1, 2, 3, 4}
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pred = {1, 2, 3, 5}
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precision, recall, f1 = calculate_precision_recall_f1(gold, pred)
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assert precision == 0.75 # 3/4
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assert recall == 0.75 # 3/4
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assert f1 == 0.75 # 2 * 0.75 * 0.75 / (0.75 + 0.75)
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