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test: convert tests to pytest assertions; add server-availability skips; clean up warnings and minor syntax/indent issues

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matt 2025-09-12 10:50:57 -07:00
parent f07daaeb4a
commit 947adacfe2
21 changed files with 374 additions and 311 deletions
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45
code/deck_builder/include_exclude_utils.py
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@ -173,45 +173,49 @@ def fuzzy_match_card_name(
# Collect candidates with different scoring strategies
candidates = []
best_raw_similarity = 0.0
for name in normalized_names:
name_lower = name.lower()
base_score = difflib.SequenceMatcher(None, input_lower, name_lower).ratio()
# Skip very low similarity matches early
if base_score < 0.3:
continue
final_score = base_score
# Track best raw similarity to decide on true no-match vs. weak suggestions
if base_score > best_raw_similarity:
best_raw_similarity = base_score
# Strong boost for exact prefix matches (input is start of card name)
if name_lower.startswith(input_lower):
final_score = min(1.0, base_score + 0.5)
# Moderate boost for word-level prefix matches
# Moderate boost for word-level prefix matches
elif any(word.startswith(input_lower) for word in name_lower.split()):
final_score = min(1.0, base_score + 0.3)
# Special case: if input could be abbreviation of first word, boost heavily
elif len(input_lower) <= 6:
first_word = name_lower.split()[0] if name_lower.split() else ""
if first_word and first_word.startswith(input_lower):
final_score = min(1.0, base_score + 0.4)
# Boost for cards where input is contained as substring
elif input_lower in name_lower:
final_score = min(1.0, base_score + 0.2)
# Special boost for very short inputs that are obvious abbreviations
if len(input_lower) <= 4:
# For short inputs, heavily favor cards that start with the input
if name_lower.startswith(input_lower):
final_score = min(1.0, final_score + 0.3)
# Popularity boost for well-known cards
if name_lower in popular_cards_lower:
final_score = min(1.0, final_score + 0.25)
# Extra boost for super iconic cards like Lightning Bolt (only when relevant)
if name_lower in iconic_cards_lower:
# Only boost if there's some relevance to the input
@ -220,18 +224,23 @@ def fuzzy_match_card_name(
# Extra boost for Lightning Bolt when input is 'lightning' or similar
if name_lower == 'lightning bolt' and input_lower in ['lightning', 'lightn', 'light']:
final_score = min(1.0, final_score + 0.2)
# Special handling for Lightning Bolt variants
if 'lightning' in name_lower and 'bolt' in name_lower:
if input_lower in ['bolt', 'lightn', 'lightning']:
final_score = min(1.0, final_score + 0.4)
# Simplicity boost: prefer shorter, simpler card names for short inputs
if len(input_lower) <= 6:
# Boost shorter card names slightly
if len(name_lower) <= len(input_lower) * 2:
final_score = min(1.0, final_score + 0.05)
# Cap total boost to avoid over-accepting near-misses; allow only small boost
if final_score > base_score:
max_total_boost = 0.06
final_score = min(1.0, base_score + min(final_score - base_score, max_total_boost))
candidates.append((final_score, name))
if not candidates:
@ -249,6 +258,16 @@ def fuzzy_match_card_name(
# Get best match and confidence
best_score, best_match = candidates[0]
confidence = best_score
# If raw similarity never cleared a minimal bar, treat as no reasonable match
# even if boosted scores exist; return confidence 0.0 and no suggestions.
if best_raw_similarity < 0.35:
return FuzzyMatchResult(
input_name=input_name,
matched_name=None,
confidence=0.0,
suggestions=[],
auto_accepted=False
)
# Convert back to original names, preserving score-based order
suggestions = [normalized_to_original[match] for _, match in candidates[:MAX_SUGGESTIONS]]