David Frassi
35 lines
1.7 KiB
Python
35 lines
1.7 KiB
Python
import urllib.request
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import json
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url = "https://libretto.mmcinet.eu/canti/api/v3/get_all_app_tables?uuid=pwa-cc-uuid&email=&platform=browser&version=1.0&gruppo=123456&all_song=false"
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req = urllib.request.Request(url, headers={"User-Agent": "Mozilla/5.0"})
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print("Fetching...")
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with urllib.request.urlopen(req) as res:
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data = json.loads(res.read().decode("utf-8"))
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canti_pers = data.get("canti_personali", {}).get("data", [])
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states = {}
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for cp in canti_pers:
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state = cp.get("stato")
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states[state] = states.get(state, 0) + 1
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print("States found in canti_personali:")
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for state, count in states.items():
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print(f"- State {state}: {count} songs")
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# Let's also check if there are any duplicate IDs between canti and canti_personali
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canti_ids = {c["id_canti"] for c in data.get("canti", {}).get("data", [])}
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canti_pers_ids = {cp["id_canti"] for cp in canti_pers}
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intersection = canti_ids.intersection(canti_pers_ids)
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print(f"Number of duplicate song IDs between global catalog and canti_personali: {len(intersection)}")
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if len(intersection) > 0:
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print("First 5 duplicate IDs:")
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print(list(intersection)[:5])
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# Find one example of duplicate
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dup_id = list(intersection)[0]
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global_dup = next(c for c in data["canti"]["data"] if c["id_canti"] == dup_id)
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pers_dup = next(cp for cp in canti_pers if cp["id_canti"] == dup_id)
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print(f"\nExample Duplicate (ID {dup_id}):")
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print(f"Global: Title='{global_dup.get('titolo')}', Stato={global_dup.get('stato')}")
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print(f"Personal: Title='{pers_dup.get('titolo')}', Stato={pers_dup.get('stato')}")
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