Refactor logging statements to use f-strings for improved readability and consistency across the codebase. This change enhances the clarity of log messages by directly embedding variable values, making it easier to trace and debug application behavior.

python/ebook_search/protected_phrases/extraction.py

@@ -682,33 +682,26 @@ def extract_phrase_candidates_for_book(
     """
     started_at = perf_counter()
     logger.info(
-        "ebook_phrase_candidate_extract_start chapters=%s chars=%s min_tokens=%s max_tokens=%s max_candidates=%s",
-        len(chapters),
-        len(book_text),
-        config.phrase_min_tokens,
-        config.phrase_max_tokens,
-        config.protected_phrase_max_candidates_per_book,
+        f"ebook_phrase_candidate_extract_start chapters={len(chapters)} chars={len(book_text)} "
+        f"{config.phrase_min_tokens=} {config.phrase_max_tokens=} {config.protected_phrase_max_candidates_per_book=}"
     )
     raw_started_at = perf_counter()
     raw = extract_raw_ngrams_by_chapter(chapters, config)
     logger.info(
-        "ebook_phrase_candidate_extract_raw_complete candidates=%s duration_ms=%.1f",
-        len(raw),
-        (perf_counter() - raw_started_at) * 1000,
+        f"ebook_phrase_candidate_extract_raw_complete candidates={len(raw)} duration_ms={(perf_counter() - "
+        f"raw_started_at) * 1000:.1f}"
     )
     yake_started_at = perf_counter()
     yake_candidates = extract_yake_candidates(book_text, config)
     logger.info(
-        "ebook_phrase_candidate_extract_yake_complete candidates=%s duration_ms=%.1f",
-        len(yake_candidates),
-        (perf_counter() - yake_started_at) * 1000,
+        f"ebook_phrase_candidate_extract_yake_complete candidates={len(yake_candidates)} duration_ms={(perf_counter() - "
+        f"yake_started_at) * 1000:.1f}"
     )
     capitalized_started_at = perf_counter()
     capitalized = extract_capitalized_phrases(book_text, config)
     logger.info(
-        "ebook_phrase_candidate_extract_capitalized_complete candidates=%s duration_ms=%.1f",
-        len(capitalized),
-        (perf_counter() - capitalized_started_at) * 1000,
+        f"ebook_phrase_candidate_extract_capitalized_complete candidates={len(capitalized)} "
+        f"duration_ms={(perf_counter() - capitalized_started_at) * 1000:.1f}"
     )
     metadata_candidates = extract_metadata_candidates(metadata, config)
 
@@ -732,22 +725,10 @@ def extract_phrase_candidates_for_book(
         : config.protected_phrase_max_candidates_per_book
     ]
     logger.info(
-        "ebook_phrase_candidate_extract_complete raw=%s yake=%s capitalized=%s metadata=%s "
-        "merged=%s filtered_too_short=%s filtered_too_rare=%s filtered_too_common=%s filtered_junk=%s "
-        "min_uses=%s storable=%s limited=%s enrich_score_ms=%.1f duration_ms=%.1f",
-        len(raw),
-        len(yake_candidates),
-        len(capitalized),
-        len(metadata_candidates),
-        pre_filter_count,
-        filtered_too_short,
-        filtered_too_rare,
-        filtered_too_common,
-        filtered_junk,
-        minimum_candidate_raw_count(config),
-        len(candidates),
-        len(limited),
-        (perf_counter() - enriched_started_at) * 1000,
-        (perf_counter() - started_at) * 1000,
+        f"ebook_phrase_candidate_extract_complete raw={len(raw)} yake={len(yake_candidates)} "
+        f"capitalized={len(capitalized)} metadata={len(metadata_candidates)} {pre_filter_count=} {filtered_too_short=} "
+        f"{filtered_too_rare=} {filtered_too_common=} {filtered_junk=} min_uses={minimum_candidate_raw_count(config)} "
+        f"storable={len(candidates)} limited={len(limited)} enrich_score_ms={(perf_counter() - enriched_started_at) * "
+        f"1000:.1f} duration_ms={(perf_counter() - started_at) * 1000:.1f}"
     )
     return limited