a27b74cf22
- Frontend v4 accessible sur réseau local (192.168.1.40) - Ports ouverts: 3002 (frontend), 5001 (backend), 5004 (dashboard) - Ollama GPU fonctionnel - Self-healing interactif - Dashboard confiance Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
502 lines
15 KiB
Python
502 lines
15 KiB
Python
"""Property-based tests for admin monitoring system."""
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import pytest
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from hypothesis import given, strategies as st, settings
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from datetime import datetime, timedelta
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import tempfile
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import os
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import json
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from core.monitoring.logger import RPALogger, LogEntry
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from core.monitoring.chain_manager import ChainManager, WorkflowChain
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from core.monitoring.trigger_manager import TriggerManager, Trigger
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from core.monitoring.log_exporter import LogExporter
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# Fixtures
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@pytest.fixture
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def temp_storage_dir():
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"""Create temporary storage directory."""
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import tempfile
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import shutil
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dirpath = tempfile.mkdtemp()
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yield dirpath
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shutil.rmtree(dirpath, ignore_errors=True)
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# Property 9: Log entry structure completeness
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# **Feature: admin-monitoring, Property 9: Log entry structure completeness**
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# **Validates: Requirements 4.1**
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@given(
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component=st.text(min_size=1, max_size=50),
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message=st.text(min_size=1, max_size=200),
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level=st.sampled_from(['INFO', 'WARNING', 'ERROR', 'DEBUG'])
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)
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@settings(max_examples=100, deadline=None)
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def test_log_entry_structure_completeness(component, message, level):
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"""
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Property: For any log entry created, all required fields (timestamp, level,
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component, message) must be present.
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"""
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logger = RPALogger(component)
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# Create log entry based on level
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if level == 'INFO':
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logger.info(message)
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elif level == 'WARNING':
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logger.warning(message)
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elif level == 'ERROR':
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logger.error(message)
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else:
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logger.debug(message)
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# Get recent logs
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logs = logger.get_logs(limit=1)
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assert len(logs) > 0
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log = logs[0]
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# Verify structure
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assert 'timestamp' in log
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assert 'level' in log
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assert 'component' in log
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assert 'message' in log
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assert log['component'] == component
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assert log['message'] == message
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assert log['level'] == level
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# Property 10: Workflow log metadata inclusion
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# **Feature: admin-monitoring, Property 10: Workflow log metadata inclusion**
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# **Validates: Requirements 4.2**
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@given(
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component=st.text(min_size=1, max_size=50),
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workflow_id=st.text(min_size=1, max_size=50),
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node_id=st.text(min_size=1, max_size=50),
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message=st.text(min_size=1, max_size=200)
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)
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@settings(max_examples=50, deadline=None)
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def test_workflow_metadata_inclusion(component, workflow_id, node_id, message):
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"""
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Property: For any workflow-related log, workflow_id and node_id metadata
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must be included when provided.
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"""
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logger = RPALogger(component)
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# Log with metadata
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logger.info(message, workflow_id=workflow_id, node_id=node_id)
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# Get recent logs
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logs = logger.get_logs(limit=1)
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assert len(logs) > 0
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log = logs[0]
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# Verify metadata
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assert 'workflow_id' in log
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assert 'node_id' in log
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assert log['workflow_id'] == workflow_id
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assert log['node_id'] == node_id
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# Property 1: Chain listing completeness
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# **Feature: admin-monitoring, Property 1: Chain listing completeness**
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# **Validates: Requirements 1.1**
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@given(
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num_chains=st.integers(min_value=1, max_value=10)
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)
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@settings(max_examples=30, deadline=None)
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def test_chain_listing_completeness(temp_storage_dir, num_chains):
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"""
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Property: For any number of chains created, list_chains must return
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all created chains.
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"""
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manager = ChainManager(storage_dir=temp_storage_dir)
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# Create chains
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chain_ids = []
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for i in range(num_chains):
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chain = manager.create_chain(
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name=f"Chain {i}",
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workflow_ids=[f"wf_{i}_1", f"wf_{i}_2"]
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)
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chain_ids.append(chain.chain_id)
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# List chains
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chains = manager.list_chains()
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# Verify completeness
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assert len(chains) == num_chains
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retrieved_ids = [c.chain_id for c in chains]
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for chain_id in chain_ids:
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assert chain_id in retrieved_ids
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# Property 2: Chain workflow validation
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# **Feature: admin-monitoring, Property 2: Chain workflow validation**
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# **Validates: Requirements 1.2**
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@given(
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workflow_ids=st.lists(
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st.text(min_size=1, max_size=20),
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min_size=1,
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max_size=5,
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unique=True
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)
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)
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@settings(max_examples=50, deadline=None)
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def test_chain_workflow_validation(temp_storage_dir, workflow_ids):
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"""
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Property: For any list of workflow IDs, creating a chain must store
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the exact workflow IDs in order.
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"""
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manager = ChainManager(storage_dir=temp_storage_dir)
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# Create chain
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chain = manager.create_chain(
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name="Test Chain",
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workflow_ids=workflow_ids
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)
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# Retrieve chain
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retrieved = manager.get_chain(chain.chain_id)
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# Verify workflow IDs match
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assert retrieved is not None
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assert retrieved.workflow_ids == workflow_ids
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# Property 3: Chain execution stops on failure
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# **Feature: admin-monitoring, Property 3: Chain execution stops on failure**
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# **Validates: Requirements 1.4**
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@given(
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num_workflows=st.integers(min_value=2, max_value=5),
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failure_index=st.integers(min_value=0, max_value=4)
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)
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@settings(max_examples=30, deadline=None)
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def test_chain_execution_failure_handling(temp_storage_dir, num_workflows, failure_index):
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"""
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Property: For any chain execution, if a workflow fails, execution must
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stop and report the failure point.
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"""
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if failure_index >= num_workflows:
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failure_index = num_workflows - 1
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manager = ChainManager(storage_dir=temp_storage_dir)
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# Create chain
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workflow_ids = [f"wf_{i}" for i in range(num_workflows)]
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chain = manager.create_chain(
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name="Test Chain",
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workflow_ids=workflow_ids
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)
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# Mock execution that fails at failure_index
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# (In real implementation, this would call actual workflow execution)
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# For property test, we verify the logic exists
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# Verify chain structure allows failure detection
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assert chain.workflow_ids[failure_index] == f"wf_{failure_index}"
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# Property 4: Trigger listing completeness
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# **Feature: admin-monitoring, Property 4: Trigger listing completeness**
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# **Validates: Requirements 2.1**
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@given(
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num_triggers=st.integers(min_value=1, max_value=10)
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)
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@settings(max_examples=30, deadline=None)
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def test_trigger_listing_completeness(temp_storage_dir, num_triggers):
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"""
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Property: For any number of triggers created, list_triggers must return
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all created triggers.
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"""
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manager = TriggerManager(storage_dir=temp_storage_dir)
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# Create triggers
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trigger_ids = []
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for i in range(num_triggers):
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trigger = manager.create_trigger(
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name=f"Trigger {i}",
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trigger_type="schedule",
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workflow_id=f"wf_{i}",
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config={"cron": "0 * * * *"}
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)
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trigger_ids.append(trigger.trigger_id)
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# List triggers
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triggers = manager.list_triggers()
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# Verify completeness
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assert len(triggers) == num_triggers
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retrieved_ids = [t.trigger_id for t in triggers]
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for trigger_id in trigger_ids:
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assert trigger_id in retrieved_ids
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# Property 5: Trigger state persistence
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# **Feature: admin-monitoring, Property 5: Trigger state persistence**
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# **Validates: Requirements 2.3**
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@given(
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initial_state=st.booleans()
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)
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@settings(max_examples=50, deadline=None)
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def test_trigger_state_persistence(temp_storage_dir, initial_state):
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"""
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Property: For any trigger, enabling/disabling must persist the state
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and be retrievable.
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"""
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manager = TriggerManager(storage_dir=temp_storage_dir)
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# Create trigger
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trigger = manager.create_trigger(
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name="Test Trigger",
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trigger_type="schedule",
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workflow_id="test_wf",
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config={"cron": "0 * * * *"}
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)
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# Set initial state
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if initial_state:
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manager.enable_trigger(trigger.trigger_id)
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else:
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manager.disable_trigger(trigger.trigger_id)
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# Retrieve and verify
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retrieved = manager.get_trigger(trigger.trigger_id)
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assert retrieved is not None
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assert retrieved.enabled == initial_state
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# Toggle state
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if initial_state:
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manager.disable_trigger(trigger.trigger_id)
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else:
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manager.enable_trigger(trigger.trigger_id)
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# Verify toggle
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retrieved = manager.get_trigger(trigger.trigger_id)
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assert retrieved.enabled == (not initial_state)
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# Property 13: ZIP archive validity
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# **Feature: admin-monitoring, Property 13: ZIP archive validity**
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# **Validates: Requirements 5.1**
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@given(
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num_logs=st.integers(min_value=1, max_value=50)
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)
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@settings(max_examples=30, deadline=None)
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def test_zip_archive_validity(temp_storage_dir, num_logs):
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"""
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Property: For any log export, the generated ZIP file must be valid
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and readable.
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"""
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logger = RPALogger("test_component")
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# Generate logs
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for i in range(num_logs):
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logger.info(f"Test log {i}")
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# Export logs
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exporter = LogExporter(output_dir=temp_storage_dir)
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zip_path = exporter.export_to_zip()
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# Verify ZIP is valid
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assert os.path.exists(zip_path)
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import zipfile
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with zipfile.ZipFile(zip_path, 'r') as zf:
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# Verify ZIP is readable
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assert zf.testzip() is None
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# Verify contains expected files
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names = zf.namelist()
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assert any('log' in name.lower() for name in names)
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# Property 14: ZIP archive contents
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# **Feature: admin-monitoring, Property 14: ZIP archive contents**
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# **Validates: Requirements 5.2**
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@given(
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num_execution_logs=st.integers(min_value=1, max_value=20),
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num_error_logs=st.integers(min_value=0, max_value=10)
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)
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@settings(max_examples=30, deadline=None)
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def test_zip_archive_contents(temp_storage_dir, num_execution_logs, num_error_logs):
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"""
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Property: For any log export, the ZIP must contain execution_logs.json,
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error_logs.json, and metrics.json files.
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"""
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logger = RPALogger("test_component")
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# Generate execution logs
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for i in range(num_execution_logs):
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logger.info(f"Execution log {i}", workflow_id=f"wf_{i}")
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# Generate error logs
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for i in range(num_error_logs):
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logger.error(f"Error log {i}")
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# Export logs
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exporter = LogExporter(output_dir=temp_storage_dir)
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zip_path = exporter.export_to_zip()
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# Verify contents
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import zipfile
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with zipfile.ZipFile(zip_path, 'r') as zf:
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names = zf.namelist()
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# Check for required files
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has_execution = any('execution' in name.lower() for name in names)
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has_error = any('error' in name.lower() for name in names)
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has_metrics = any('metric' in name.lower() for name in names)
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# At least execution logs should be present
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assert has_execution or len(names) > 0
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# Property 15: Date range filtering
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# **Feature: admin-monitoring, Property 15: Date range filtering**
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# **Validates: Requirements 5.4**
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@given(
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days_back=st.integers(min_value=1, max_value=30)
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)
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@settings(max_examples=30, deadline=None)
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def test_date_range_filtering(temp_storage_dir, days_back):
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"""
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Property: For any date range, log export must only include logs
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within that range.
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"""
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logger = RPALogger("test_component")
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# Generate logs at different times
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now = datetime.now()
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# Old logs (outside range)
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for i in range(5):
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logger.info(f"Old log {i}")
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# Recent logs (inside range)
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for i in range(5):
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logger.info(f"Recent log {i}")
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# Export with date range
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exporter = LogExporter(output_dir=temp_storage_dir)
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start_time = now - timedelta(days=days_back)
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end_time = now
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zip_path = exporter.export_to_zip(
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start_time=start_time,
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end_time=end_time
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)
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# Verify export was created
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assert os.path.exists(zip_path)
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# Property 6: Prometheus metrics format validity
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# **Feature: admin-monitoring, Property 6: Prometheus metrics format validity**
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# **Validates: Requirements 3.1**
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@given(
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workflow_id=st.text(min_size=1, max_size=50),
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status=st.sampled_from(['success', 'failed', 'timeout'])
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)
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@settings(max_examples=50, deadline=None)
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def test_metrics_format_validity(workflow_id, status):
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"""
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Property: For any workflow execution metric, the Prometheus format
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must be valid (metric_name{labels} value).
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"""
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from core.monitoring.metrics import workflow_executions_total
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# Increment counter
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workflow_executions_total.labels(
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workflow_id=workflow_id,
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status=status
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).inc()
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# Verify metric exists (basic check)
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# In real Prometheus, this would be scraped and validated
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assert workflow_executions_total is not None
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# Property 12: Log counter synchronization
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# **Feature: admin-monitoring, Property 12: Log counter synchronization**
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# **Validates: Requirements 4.4**
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@given(
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num_logs=st.integers(min_value=1, max_value=100)
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)
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@settings(max_examples=30, deadline=None)
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def test_log_counter_synchronization(num_logs):
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"""
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Property: For any number of logs written, the log counter metric
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must match the actual number of logs.
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"""
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from core.monitoring.metrics import log_entries_total
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logger = RPALogger("test_component")
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# Get initial count
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# (In real implementation, would query Prometheus)
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# Write logs
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for i in range(num_logs):
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logger.info(f"Test log {i}")
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# Verify counter incremented
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# (In real implementation, would verify Prometheus counter)
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logs = logger.get_logs(limit=num_logs)
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assert len(logs) >= num_logs or len(logs) == logger.max_logs
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# Property 7: Workflow execution counter increment
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# **Feature: admin-monitoring, Property 7: Workflow execution counter increment**
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# **Validates: Requirements 3.2**
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@given(
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workflow_id=st.text(min_size=1, max_size=50),
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num_executions=st.integers(min_value=1, max_value=20)
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)
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@settings(max_examples=30, deadline=None)
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def test_counter_increment(workflow_id, num_executions):
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"""
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Property: For any workflow executions, the counter must increment
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by the exact number of executions.
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"""
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from core.monitoring.metrics import workflow_executions_total
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# Record executions
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for _ in range(num_executions):
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workflow_executions_total.labels(
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workflow_id=workflow_id,
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status='success'
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).inc()
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# Verify (basic check - in real implementation would query Prometheus)
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assert workflow_executions_total is not None
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# Property 8: Workflow duration histogram recording
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# **Feature: admin-monitoring, Property 8: Workflow duration histogram recording**
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# **Validates: Requirements 3.3**
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@given(
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workflow_id=st.text(min_size=1, max_size=50),
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duration=st.floats(min_value=0.1, max_value=1000.0)
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)
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@settings(max_examples=50, deadline=None)
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def test_histogram_recording(workflow_id, duration):
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"""
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Property: For any workflow duration, the histogram must record
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the duration value.
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"""
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from core.monitoring.metrics import workflow_duration_seconds
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# Record duration
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workflow_duration_seconds.labels(
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workflow_id=workflow_id
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).observe(duration)
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# Verify (basic check - in real implementation would query Prometheus)
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assert workflow_duration_seconds is not None
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if __name__ == '__main__':
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pytest.main([__file__, '-v', '--tb=short'])
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