- Deleted .env.example file as it is no longer needed. - Added .gitignore to manage ignored files and directories. - Introduced CLAUDE.md for AI provider integration documentation. - Created dev.sh for development setup and scripts. - Updated Dockerfile and Dockerfile.production for improved build processes. - Added multiple test files and directories for comprehensive testing. - Introduced new utility and service files for enhanced functionality. - Organized codebase with new directories and files for better maintainability.
375 lines
12 KiB
Python
375 lines
12 KiB
Python
"""
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Basic functionality tests that validate the test suite structure.
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These tests can run without the full application dependencies.
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"""
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import asyncio
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from datetime import datetime
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from unittest.mock import AsyncMock, MagicMock
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import numpy as np
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import pytest
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class TestBasicStructure:
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"""Test basic structural elements of the bot."""
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def test_test_suite_exists(self):
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"""Verify test suite is properly configured."""
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assert True, "Test suite is configured"
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def test_mock_imports(self):
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"""Test that mocking utilities work."""
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mock_obj = MagicMock()
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mock_obj.test_method.return_value = "test"
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assert mock_obj.test_method() == "test"
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@pytest.mark.asyncio
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async def test_async_mock(self):
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"""Test async mocking capabilities."""
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async_mock = AsyncMock()
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async_mock.return_value = "async_result"
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result = await async_mock()
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assert result == "async_result"
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class TestCoreConceptValidation:
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"""Validate core concepts of the Discord bot."""
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def test_audio_buffer_concept(self):
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"""Test the concept of a 120-second rolling audio buffer."""
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buffer_size = 120 # seconds
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sample_rate = 48000 # Hz
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# Calculate buffer capacity
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max_samples = buffer_size * sample_rate
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# Simulate rolling buffer
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buffer = []
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# Add data exceeding buffer size
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for i in range(150):
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# Add 1 second of audio
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audio_chunk = np.zeros(sample_rate)
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buffer.append(audio_chunk)
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# Maintain rolling window
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while len(buffer) > buffer_size:
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buffer.pop(0)
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assert len(buffer) == buffer_size
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assert len(buffer) * sample_rate == max_samples
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def test_quote_scoring_concept(self):
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"""Test the quote scoring system concept."""
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quote_scores = {
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"funny_score": 7.5,
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"dark_score": 2.0,
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"silly_score": 8.0,
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"suspicious_score": 1.5,
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"asinine_score": 3.0,
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}
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# All scores should be 0-10
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for score_name, score_value in quote_scores.items():
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assert 0 <= score_value <= 10, f"{score_name} out of range"
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# Calculate overall score
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overall_score = sum(quote_scores.values()) / len(quote_scores)
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assert 0 <= overall_score <= 10
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def test_speaker_diarization_concept(self):
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"""Test speaker diarization data structure."""
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diarization_result = {
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"segments": [
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{"start": 0.0, "end": 3.0, "speaker": "SPEAKER_01"},
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{"start": 3.0, "end": 6.0, "speaker": "SPEAKER_02"},
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{"start": 6.0, "end": 10.0, "speaker": "SPEAKER_01"},
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],
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"unique_speakers": 2,
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}
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# Validate segment structure
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for segment in diarization_result["segments"]:
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assert "start" in segment
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assert "end" in segment
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assert "speaker" in segment
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assert segment["end"] > segment["start"]
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# Check speaker count
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speakers = set(s["speaker"] for s in diarization_result["segments"])
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assert len(speakers) == diarization_result["unique_speakers"]
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@pytest.mark.asyncio
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async def test_pipeline_flow_concept(self):
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"""Test the conceptual flow of the audio pipeline."""
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# Mock pipeline stages
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async def record_audio():
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return {"audio_data": np.zeros(48000), "duration": 1.0}
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async def diarize_speakers(audio):
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return {"segments": [{"speaker": "SPEAKER_01", "start": 0, "end": 1}]}
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async def transcribe_audio(audio, diarization):
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return {"text": "Test quote", "segments": diarization["segments"]}
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async def analyze_quote(text):
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return {"overall_score": 7.5, "is_high_quality": True}
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# Execute pipeline
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audio = await record_audio()
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diarization = await diarize_speakers(audio)
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transcription = await transcribe_audio(audio, diarization)
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analysis = await analyze_quote(transcription["text"])
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# Validate pipeline output
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assert audio["audio_data"] is not None
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assert len(diarization["segments"]) > 0
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assert transcription["text"] == "Test quote"
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assert analysis["overall_score"] > 5.0
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def test_consent_system_concept(self):
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"""Test the consent management concept."""
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consent_manager = {
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"users": {
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111: {"consent": True, "timestamp": datetime.utcnow()},
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222: {"consent": False, "timestamp": datetime.utcnow()},
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333: {"consent": True, "timestamp": datetime.utcnow()},
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}
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}
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# Check consent
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def has_consent(user_id):
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return consent_manager["users"].get(user_id, {}).get("consent", False)
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assert has_consent(111) is True
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assert has_consent(222) is False
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assert has_consent(333) is True
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assert has_consent(999) is False # Unknown user
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def test_memory_context_concept(self):
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"""Test the memory/context system concept."""
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from datetime import timedelta
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base_time = datetime.utcnow()
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memory_cache = [
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{
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"id": 1,
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"content": "Previous funny quote",
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"timestamp": base_time - timedelta(hours=2),
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},
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{
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"id": 2,
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"content": "Another quote",
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"timestamp": base_time - timedelta(hours=1),
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},
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{"id": 3, "content": "Recent context", "timestamp": base_time},
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]
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# Simulate context retrieval
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def get_relevant_context(query, limit=2):
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# Simple relevance: return most recent
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sorted_memories = sorted(
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memory_cache, key=lambda x: x["timestamp"], reverse=True
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)
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return sorted_memories[:limit]
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context = get_relevant_context("test", limit=2)
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assert len(context) == 2
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assert context[0]["id"] == 3 # Most recent
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def test_response_scheduling_concept(self):
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"""Test the response scheduling concept."""
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response_queue = []
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# Add responses with priorities
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responses = [
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{"quote_id": 1, "score": 9.5, "priority": "immediate"},
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{"quote_id": 2, "score": 7.0, "priority": "delayed"},
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{"quote_id": 3, "score": 8.5, "priority": "immediate"},
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]
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for response in responses:
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if response["priority"] == "immediate":
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response_queue.insert(0, response) # Add to front
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else:
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response_queue.append(response) # Add to back
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# Check queue order
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assert response_queue[0]["quote_id"] == 3 # Last immediate
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assert response_queue[1]["quote_id"] == 1 # First immediate
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assert response_queue[2]["quote_id"] == 2 # Delayed
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class TestMockingFramework:
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"""Test the mocking framework for Discord components."""
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def test_mock_voice_client(self):
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"""Test mock voice client creation."""
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voice_client = MagicMock()
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voice_client.is_connected.return_value = True
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voice_client.channel.id = 123456
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voice_client.guild.id = 789012
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assert voice_client.is_connected() is True
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assert voice_client.channel.id == 123456
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assert voice_client.guild.id == 789012
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def test_mock_discord_member(self):
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"""Test mock Discord member."""
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member = MagicMock()
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member.id = 111222
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member.name = "TestUser"
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member.voice.channel = MagicMock()
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member.voice.channel.id = 123456
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assert member.id == 111222
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assert member.name == "TestUser"
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assert member.voice.channel.id == 123456
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@pytest.mark.asyncio
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async def test_mock_interaction(self):
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"""Test mock Discord interaction."""
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interaction = MagicMock()
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interaction.response = AsyncMock()
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interaction.followup = AsyncMock()
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await interaction.response.defer()
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await interaction.followup.send("Test message")
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interaction.response.defer.assert_called_once()
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interaction.followup.send.assert_called_with("Test message")
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class TestPerformanceMetrics:
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"""Test performance metric concepts."""
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def test_latency_measurement(self):
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"""Test latency measurement concept."""
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import time
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latencies = []
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for _ in range(10):
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start = time.perf_counter()
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# Simulate processing
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time.sleep(0.01)
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latencies.append(time.perf_counter() - start)
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avg_latency = sum(latencies) / len(latencies)
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assert avg_latency < 0.1 # Should be ~10ms
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assert min(latencies) > 0.009 # At least 9ms
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assert max(latencies) < 0.02 # Less than 20ms
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def test_throughput_calculation(self):
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"""Test throughput calculation concept."""
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num_items = 100
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processing_time = 5.0 # seconds
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throughput = num_items / processing_time
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assert throughput == 20.0 # 20 items per second
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def test_memory_usage_tracking(self):
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"""Test memory usage tracking concept."""
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import sys
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# Create large object
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large_list = [i for i in range(1000000)]
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# Get size
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size_bytes = sys.getsizeof(large_list)
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size_mb = size_bytes / (1024 * 1024)
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assert size_mb > 1 # Should be at least 1MB
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assert size_mb < 100 # Should be less than 100MB
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class TestErrorHandling:
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"""Test error handling concepts."""
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@pytest.mark.asyncio
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async def test_retry_logic(self):
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"""Test retry logic with exponential backoff."""
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attempts = []
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max_retries = 3
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async def failing_function():
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attempts.append(len(attempts))
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if len(attempts) < max_retries:
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raise Exception("Temporary failure")
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return "Success"
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# Retry logic
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for attempt in range(max_retries + 1):
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try:
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result = await failing_function()
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break
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except Exception:
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if attempt == max_retries:
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raise
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await asyncio.sleep(0.01 * (2**attempt)) # Exponential backoff
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assert result == "Success"
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assert len(attempts) == max_retries
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def test_graceful_degradation(self):
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"""Test graceful degradation concept."""
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services = {
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"primary": False, # Failed
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"fallback1": False, # Failed
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"fallback2": True, # Available
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}
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# Try services in order
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for service, available in services.items():
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if available:
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result = f"Using {service}"
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break
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else:
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result = "All services failed"
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assert result == "Using fallback2"
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def test_circuit_breaker_concept(self):
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"""Test circuit breaker pattern."""
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class CircuitBreaker:
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def __init__(self, threshold=3):
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self.failure_count = 0
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self.threshold = threshold
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self.is_open = False
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def call(self, func, *args):
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if self.is_open:
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raise Exception("Circuit breaker is open")
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try:
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result = func(*args)
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self.failure_count = 0 # Reset on success
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return result
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except Exception:
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self.failure_count += 1
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if self.failure_count >= self.threshold:
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self.is_open = True
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raise
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breaker = CircuitBreaker(threshold=3)
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def failing_func():
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raise Exception("Service error")
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# Test circuit breaker
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for i in range(3):
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try:
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breaker.call(failing_func)
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except Exception:
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pass
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assert breaker.is_open is True
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# Should not call function when open
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with pytest.raises(Exception, match="Circuit breaker is open"):
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breaker.call(failing_func)
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