Files
disbord/tests/test_basic_functionality.py
Travis Vasceannie 3acb779569 chore: remove .env.example and add new files for project structure
- 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.
2025-08-27 23:00:19 -04:00

375 lines
12 KiB
Python

"""
Basic functionality tests that validate the test suite structure.
These tests can run without the full application dependencies.
"""
import asyncio
from datetime import datetime
from unittest.mock import AsyncMock, MagicMock
import numpy as np
import pytest
class TestBasicStructure:
"""Test basic structural elements of the bot."""
def test_test_suite_exists(self):
"""Verify test suite is properly configured."""
assert True, "Test suite is configured"
def test_mock_imports(self):
"""Test that mocking utilities work."""
mock_obj = MagicMock()
mock_obj.test_method.return_value = "test"
assert mock_obj.test_method() == "test"
@pytest.mark.asyncio
async def test_async_mock(self):
"""Test async mocking capabilities."""
async_mock = AsyncMock()
async_mock.return_value = "async_result"
result = await async_mock()
assert result == "async_result"
class TestCoreConceptValidation:
"""Validate core concepts of the Discord bot."""
def test_audio_buffer_concept(self):
"""Test the concept of a 120-second rolling audio buffer."""
buffer_size = 120 # seconds
sample_rate = 48000 # Hz
# Calculate buffer capacity
max_samples = buffer_size * sample_rate
# Simulate rolling buffer
buffer = []
# Add data exceeding buffer size
for i in range(150):
# Add 1 second of audio
audio_chunk = np.zeros(sample_rate)
buffer.append(audio_chunk)
# Maintain rolling window
while len(buffer) > buffer_size:
buffer.pop(0)
assert len(buffer) == buffer_size
assert len(buffer) * sample_rate == max_samples
def test_quote_scoring_concept(self):
"""Test the quote scoring system concept."""
quote_scores = {
"funny_score": 7.5,
"dark_score": 2.0,
"silly_score": 8.0,
"suspicious_score": 1.5,
"asinine_score": 3.0,
}
# All scores should be 0-10
for score_name, score_value in quote_scores.items():
assert 0 <= score_value <= 10, f"{score_name} out of range"
# Calculate overall score
overall_score = sum(quote_scores.values()) / len(quote_scores)
assert 0 <= overall_score <= 10
def test_speaker_diarization_concept(self):
"""Test speaker diarization data structure."""
diarization_result = {
"segments": [
{"start": 0.0, "end": 3.0, "speaker": "SPEAKER_01"},
{"start": 3.0, "end": 6.0, "speaker": "SPEAKER_02"},
{"start": 6.0, "end": 10.0, "speaker": "SPEAKER_01"},
],
"unique_speakers": 2,
}
# Validate segment structure
for segment in diarization_result["segments"]:
assert "start" in segment
assert "end" in segment
assert "speaker" in segment
assert segment["end"] > segment["start"]
# Check speaker count
speakers = set(s["speaker"] for s in diarization_result["segments"])
assert len(speakers) == diarization_result["unique_speakers"]
@pytest.mark.asyncio
async def test_pipeline_flow_concept(self):
"""Test the conceptual flow of the audio pipeline."""
# Mock pipeline stages
async def record_audio():
return {"audio_data": np.zeros(48000), "duration": 1.0}
async def diarize_speakers(audio):
return {"segments": [{"speaker": "SPEAKER_01", "start": 0, "end": 1}]}
async def transcribe_audio(audio, diarization):
return {"text": "Test quote", "segments": diarization["segments"]}
async def analyze_quote(text):
return {"overall_score": 7.5, "is_high_quality": True}
# Execute pipeline
audio = await record_audio()
diarization = await diarize_speakers(audio)
transcription = await transcribe_audio(audio, diarization)
analysis = await analyze_quote(transcription["text"])
# Validate pipeline output
assert audio["audio_data"] is not None
assert len(diarization["segments"]) > 0
assert transcription["text"] == "Test quote"
assert analysis["overall_score"] > 5.0
def test_consent_system_concept(self):
"""Test the consent management concept."""
consent_manager = {
"users": {
111: {"consent": True, "timestamp": datetime.utcnow()},
222: {"consent": False, "timestamp": datetime.utcnow()},
333: {"consent": True, "timestamp": datetime.utcnow()},
}
}
# Check consent
def has_consent(user_id):
return consent_manager["users"].get(user_id, {}).get("consent", False)
assert has_consent(111) is True
assert has_consent(222) is False
assert has_consent(333) is True
assert has_consent(999) is False # Unknown user
def test_memory_context_concept(self):
"""Test the memory/context system concept."""
from datetime import timedelta
base_time = datetime.utcnow()
memory_cache = [
{
"id": 1,
"content": "Previous funny quote",
"timestamp": base_time - timedelta(hours=2),
},
{
"id": 2,
"content": "Another quote",
"timestamp": base_time - timedelta(hours=1),
},
{"id": 3, "content": "Recent context", "timestamp": base_time},
]
# Simulate context retrieval
def get_relevant_context(query, limit=2):
# Simple relevance: return most recent
sorted_memories = sorted(
memory_cache, key=lambda x: x["timestamp"], reverse=True
)
return sorted_memories[:limit]
context = get_relevant_context("test", limit=2)
assert len(context) == 2
assert context[0]["id"] == 3 # Most recent
def test_response_scheduling_concept(self):
"""Test the response scheduling concept."""
response_queue = []
# Add responses with priorities
responses = [
{"quote_id": 1, "score": 9.5, "priority": "immediate"},
{"quote_id": 2, "score": 7.0, "priority": "delayed"},
{"quote_id": 3, "score": 8.5, "priority": "immediate"},
]
for response in responses:
if response["priority"] == "immediate":
response_queue.insert(0, response) # Add to front
else:
response_queue.append(response) # Add to back
# Check queue order
assert response_queue[0]["quote_id"] == 3 # Last immediate
assert response_queue[1]["quote_id"] == 1 # First immediate
assert response_queue[2]["quote_id"] == 2 # Delayed
class TestMockingFramework:
"""Test the mocking framework for Discord components."""
def test_mock_voice_client(self):
"""Test mock voice client creation."""
voice_client = MagicMock()
voice_client.is_connected.return_value = True
voice_client.channel.id = 123456
voice_client.guild.id = 789012
assert voice_client.is_connected() is True
assert voice_client.channel.id == 123456
assert voice_client.guild.id == 789012
def test_mock_discord_member(self):
"""Test mock Discord member."""
member = MagicMock()
member.id = 111222
member.name = "TestUser"
member.voice.channel = MagicMock()
member.voice.channel.id = 123456
assert member.id == 111222
assert member.name == "TestUser"
assert member.voice.channel.id == 123456
@pytest.mark.asyncio
async def test_mock_interaction(self):
"""Test mock Discord interaction."""
interaction = MagicMock()
interaction.response = AsyncMock()
interaction.followup = AsyncMock()
await interaction.response.defer()
await interaction.followup.send("Test message")
interaction.response.defer.assert_called_once()
interaction.followup.send.assert_called_with("Test message")
class TestPerformanceMetrics:
"""Test performance metric concepts."""
def test_latency_measurement(self):
"""Test latency measurement concept."""
import time
latencies = []
for _ in range(10):
start = time.perf_counter()
# Simulate processing
time.sleep(0.01)
latencies.append(time.perf_counter() - start)
avg_latency = sum(latencies) / len(latencies)
assert avg_latency < 0.1 # Should be ~10ms
assert min(latencies) > 0.009 # At least 9ms
assert max(latencies) < 0.02 # Less than 20ms
def test_throughput_calculation(self):
"""Test throughput calculation concept."""
num_items = 100
processing_time = 5.0 # seconds
throughput = num_items / processing_time
assert throughput == 20.0 # 20 items per second
def test_memory_usage_tracking(self):
"""Test memory usage tracking concept."""
import sys
# Create large object
large_list = [i for i in range(1000000)]
# Get size
size_bytes = sys.getsizeof(large_list)
size_mb = size_bytes / (1024 * 1024)
assert size_mb > 1 # Should be at least 1MB
assert size_mb < 100 # Should be less than 100MB
class TestErrorHandling:
"""Test error handling concepts."""
@pytest.mark.asyncio
async def test_retry_logic(self):
"""Test retry logic with exponential backoff."""
attempts = []
max_retries = 3
async def failing_function():
attempts.append(len(attempts))
if len(attempts) < max_retries:
raise Exception("Temporary failure")
return "Success"
# Retry logic
for attempt in range(max_retries + 1):
try:
result = await failing_function()
break
except Exception:
if attempt == max_retries:
raise
await asyncio.sleep(0.01 * (2**attempt)) # Exponential backoff
assert result == "Success"
assert len(attempts) == max_retries
def test_graceful_degradation(self):
"""Test graceful degradation concept."""
services = {
"primary": False, # Failed
"fallback1": False, # Failed
"fallback2": True, # Available
}
# Try services in order
for service, available in services.items():
if available:
result = f"Using {service}"
break
else:
result = "All services failed"
assert result == "Using fallback2"
def test_circuit_breaker_concept(self):
"""Test circuit breaker pattern."""
class CircuitBreaker:
def __init__(self, threshold=3):
self.failure_count = 0
self.threshold = threshold
self.is_open = False
def call(self, func, *args):
if self.is_open:
raise Exception("Circuit breaker is open")
try:
result = func(*args)
self.failure_count = 0 # Reset on success
return result
except Exception:
self.failure_count += 1
if self.failure_count >= self.threshold:
self.is_open = True
raise
breaker = CircuitBreaker(threshold=3)
def failing_func():
raise Exception("Service error")
# Test circuit breaker
for i in range(3):
try:
breaker.call(failing_func)
except Exception:
pass
assert breaker.is_open is True
# Should not call function when open
with pytest.raises(Exception, match="Circuit breaker is open"):
breaker.call(failing_func)