[🍏 0xedb5] [20:30:00.001726] [INFO] [✅ MemoryFetcher.initialize_sources] Finished initialization of 'MemoryFetcher' in 3 μs: MemoryFetcher(sources=['category'], return_all=True)
[🍏 0xedb5] [20:30:00.069950] [INFO] [✅ SqlFetcher.initialize_sources] Finished initialization of 'SqlFetcher' in 68 ms: SqlFetcher('postgresql+pg8000://postgres:***@localhost:5002/sakila', sources=['address', 'film', 'language', 'customer', 'country', 'staff', 'actor', 'city'])
[🎃 0xb547] [20:30:00.206043] [INFO] [✅ Translator.map] Finished mapping of 4/6 names in 'DataFrame' in 259 μs: {'staff_id': 'staff', 'customer_id': 'customer', 'category_id': 'category', 'film_id': 'film'}.
[🎃 0xb547] [20:30:00.208088] [INFO] [✅ MemoryFetcher.fetch] Finished fetching from 1 sources in 97 μs: ['category' x ('id', 'name') x 16/7 IDs].
[🎃 0xb547] [20:30:00.216468] [INFO] [✅ SqlFetcher.fetch] Finished fetching from 3 sources in 10 ms: ['staff' x ('id', 'name', 'last_name') x 2/2 IDs], ['customer' x ('id', 'name', 'last_name') x 10/10 IDs], ['film' x ('id', 'name') x 10/10 IDs].
[🎃 0xb547] [20:30:00.218377] [INFO] [✅ Translator.translate] Finished translation of 29 unique IDs (4 names) in 'DataFrame' in 13 ms.