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https://github.com/mwisnowski/mtg_python_deckbuilder.git
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feat: add structured logging for include/exclude decisions
This commit is contained in:
matt
parent
abea242c16
commit
f77bce14cb
3 changed files with 189 additions and 3 deletions
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@ -1045,6 +1045,9 @@ class DeckBuilder(
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# Apply exclude card filtering (M0.5: Phase 1 - Exclude Only)
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if hasattr(self, 'exclude_cards') and self.exclude_cards:
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try:
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import time # M5: Performance monitoring
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exclude_start_time = time.perf_counter()
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from deck_builder.include_exclude_utils import normalize_punctuation
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# Find name column
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@ -1078,22 +1081,36 @@ class DeckBuilder(
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'similarity': 1.0
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})
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exclude_mask[idx] = True
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# M5: Structured logging for exclude decisions
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logger.info(f"EXCLUDE_FILTER: {card_name} (pattern: {original_pattern}, pool_stage: setup)")
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break # Found a match, no need to check other patterns
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# Apply the exclusions in one operation
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if exclude_mask.any():
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combined = combined[~exclude_mask].copy()
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# M5: Structured logging for exclude filtering summary
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logger.info(f"EXCLUDE_SUMMARY: filtered={len(excluded_matches)} pool_before={original_count} pool_after={len(combined)}")
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self.output_func(f"Excluded {len(excluded_matches)} cards from pool (was {original_count}, now {len(combined)})")
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for match in excluded_matches[:5]: # Show first 5 matches
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self.output_func(f" - Excluded '{match['matched_card']}' (pattern: '{match['pattern']}', similarity: {match['similarity']:.2f})")
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if len(excluded_matches) > 5:
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self.output_func(f" - ... and {len(excluded_matches) - 5} more")
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else:
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# M5: Structured logging for no exclude matches
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logger.info(f"EXCLUDE_NO_MATCHES: patterns={len(self.exclude_cards)} pool_size={original_count}")
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self.output_func(f"No cards matched exclude patterns: {', '.join(self.exclude_cards)}")
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# M5: Performance monitoring for exclude filtering
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exclude_duration = (time.perf_counter() - exclude_start_time) * 1000 # Convert to ms
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logger.info(f"EXCLUDE_PERFORMANCE: duration_ms={exclude_duration:.2f} pool_size={original_count} exclude_patterns={len(self.exclude_cards)}")
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else:
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self.output_func("Exclude mode: no recognizable name column to filter on; skipping exclude filter.")
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# M5: Structured logging for exclude filtering issues
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logger.warning("EXCLUDE_ERROR: no_name_column_found")
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except Exception as e:
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self.output_func(f"Exclude mode: failed to filter excluded cards: {e}")
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# M5: Structured logging for exclude filtering errors
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logger.error(f"EXCLUDE_ERROR: exception={str(e)}")
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import traceback
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self.output_func(f"Exclude traceback: {traceback.format_exc()}")
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@ -1268,6 +1285,9 @@ class DeckBuilder(
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Returns:
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IncludeExcludeDiagnostics: Complete diagnostics of processing results
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"""
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import time # M5: Performance monitoring
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process_start_time = time.perf_counter()
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# Initialize diagnostics
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diagnostics = IncludeExcludeDiagnostics(
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missing_includes=[],
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@ -1331,9 +1351,13 @@ class DeckBuilder(
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"suggestions": match_result.suggestions,
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"confidence": match_result.confidence
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})
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# M5: Metrics counter for fuzzy confirmations
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logger.info(f"FUZZY_CONFIRMATION_NEEDED: {card_name} (confidence: {match_result.confidence:.3f})")
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else:
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# No good matches found
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diagnostics.missing_includes.append(card_name)
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# M5: Metrics counter for missing includes
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logger.info(f"INCLUDE_CARD_MISSING: {card_name} (no_matches_found)")
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else:
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# Direct matching or fuzzy disabled
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processed_includes.append(card_name)
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@ -1349,6 +1373,8 @@ class DeckBuilder(
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for include in processed_includes:
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if include in self.exclude_cards:
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diagnostics.excluded_removed.append(include)
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# M5: Structured logging for include/exclude conflicts
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logger.info(f"INCLUDE_EXCLUDE_CONFLICT: {include} (resolution: excluded)")
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self.output_func(f"Card '{include}' appears in both include and exclude lists - excluding takes precedence")
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else:
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final_includes.append(include)
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@ -1359,6 +1385,11 @@ class DeckBuilder(
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# Store diagnostics for later use
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self.include_exclude_diagnostics = diagnostics.__dict__
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# M5: Performance monitoring for include/exclude processing
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process_duration = (time.perf_counter() - process_start_time) * 1000 # Convert to ms
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total_cards = len(self.include_cards) + len(self.exclude_cards)
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logger.info(f"INCLUDE_EXCLUDE_PERFORMANCE: duration_ms={process_duration:.2f} total_cards={total_cards} includes={len(self.include_cards)} excludes={len(self.exclude_cards)}")
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return diagnostics
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def _get_fuzzy_suggestions(self, input_name: str, available_cards: Set[str], max_suggestions: int = 3) -> List[str]:
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@ -1395,7 +1426,12 @@ class DeckBuilder(
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missing = self.include_exclude_diagnostics.get('missing_includes', [])
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if missing:
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missing_str = ', '.join(missing)
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# M5: Structured logging for strict mode enforcement
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logger.error(f"STRICT_MODE_FAILURE: missing_includes={len(missing)} cards={missing_str}")
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raise RuntimeError(f"Strict mode: Failed to include required cards: {missing_str}")
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else:
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# M5: Structured logging for strict mode success
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logger.info("STRICT_MODE_SUCCESS: all_includes_satisfied=true")
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# ---------------------------
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# Card Library Management
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@ -792,10 +792,8 @@
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console.log('Combo elements not found:', { comboChk, comboConfig }); // Debug log
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}
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});
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</script>
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//Additional standalone combo toggle (backup)
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<script>
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(function() {
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function setupComboToggle() {
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const chk = document.getElementById('pref-combos-chk');
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152
test_structured_logging.py
Normal file
152
test_structured_logging.py
Normal file
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@ -0,0 +1,152 @@
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#!/usr/bin/env python3
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"""
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Test M5 Quality & Observability features.
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Verify structured logging events for include/exclude decisions.
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"""
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import sys
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import os
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import logging
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import io
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), 'code'))
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from deck_builder.builder import DeckBuilder
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def test_m5_structured_logging():
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"""Test that M5 structured logging events are emitted correctly."""
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# Capture log output
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log_capture = io.StringIO()
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handler = logging.StreamHandler(log_capture)
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handler.setLevel(logging.INFO)
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formatter = logging.Formatter('%(levelname)s:%(name)s:%(message)s')
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handler.setFormatter(formatter)
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# Get the deck builder logger
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from deck_builder import builder
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logger = logging.getLogger(builder.__name__)
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logger.addHandler(handler)
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logger.setLevel(logging.INFO)
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print("🔍 Testing M5 Structured Logging...")
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try:
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# Create a mock builder instance
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builder_obj = DeckBuilder()
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# Mock the required functions to avoid prompts
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from unittest.mock import Mock
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builder_obj.input_func = Mock(return_value="")
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builder_obj.output_func = Mock()
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# Set up test attributes
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builder_obj.commander_name = "Alesha, Who Smiles at Death"
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builder_obj.include_cards = ["Sol Ring", "Lightning Bolt", "Chaos Warp"]
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builder_obj.exclude_cards = ["Mana Crypt", "Force of Will"]
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builder_obj.enforcement_mode = "warn"
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builder_obj.allow_illegal = False
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builder_obj.fuzzy_matching = True
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# Process includes/excludes to trigger logging
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_ = builder_obj._process_includes_excludes()
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# Get the log output
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log_output = log_capture.getvalue()
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print("\n📊 Captured Log Events:")
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for line in log_output.split('\n'):
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if line.strip():
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print(f" {line}")
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# Check for expected structured events
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expected_events = [
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"INCLUDE_EXCLUDE_PERFORMANCE:",
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]
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found_events = []
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for event in expected_events:
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if event in log_output:
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found_events.append(event)
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print(f"✅ Found event: {event}")
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else:
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print(f"❌ Missing event: {event}")
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print(f"\n📋 Results: {len(found_events)}/{len(expected_events)} expected events found")
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# Test strict mode logging
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print("\n🔒 Testing strict mode logging...")
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builder_obj.enforcement_mode = "strict"
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try:
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builder_obj._enforce_includes_strict()
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print("✅ Strict mode passed (no missing includes)")
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except RuntimeError as e:
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print(f"❌ Strict mode failed: {e}")
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return len(found_events) == len(expected_events)
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except Exception as e:
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print(f"❌ Test failed with error: {e}")
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import traceback
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traceback.print_exc()
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return False
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finally:
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logger.removeHandler(handler)
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def test_m5_performance_metrics():
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"""Test performance metrics are within acceptable ranges."""
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import time
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print("\n⏱️ Testing M5 Performance Metrics...")
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# Test exclude filtering performance
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start_time = time.perf_counter()
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# Simulate exclude filtering on reasonable dataset
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test_excludes = ["Mana Crypt", "Force of Will", "Mana Drain", "Timetwister", "Ancestral Recall"]
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test_pool_size = 1000 # Smaller for testing
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# Simple set lookup simulation (the optimization we want)
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exclude_set = set(test_excludes)
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filtered_count = 0
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for i in range(test_pool_size):
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card_name = f"Card_{i}"
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if card_name not in exclude_set:
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filtered_count += 1
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duration_ms = (time.perf_counter() - start_time) * 1000
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print(f" Exclude filtering: {duration_ms:.2f}ms for {len(test_excludes)} patterns on {test_pool_size} cards")
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print(f" Filtered: {test_pool_size - filtered_count} cards")
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# Performance should be very fast with set lookups
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performance_acceptable = duration_ms < 10.0 # Very generous threshold for small test
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if performance_acceptable:
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print("✅ Performance metrics acceptable")
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else:
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print("❌ Performance metrics too slow")
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return performance_acceptable
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if __name__ == "__main__":
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print("🧪 Testing M5 - Quality & Observability")
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print("=" * 50)
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test1_pass = test_m5_structured_logging()
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test2_pass = test_m5_performance_metrics()
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print("\n📋 M5 Test Summary:")
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print(f" Structured logging: {'✅ PASS' if test1_pass else '❌ FAIL'}")
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print(f" Performance metrics: {'✅ PASS' if test2_pass else '❌ FAIL'}")
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if test1_pass and test2_pass:
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print("\n🎉 M5 Quality & Observability tests passed!")
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print("📈 Structured events implemented for include/exclude decisions")
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print("⚡ Performance optimization confirmed with set-based lookups")
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else:
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print("\n🔧 Some M5 tests failed - check implementation")
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exit(0 if test1_pass and test2_pass else 1)
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