Timmy
f7ef105436
- radar_fetcher.py：呼叫 Function Server 抓 twpkinfo.com 資料後寫入 Redis (TTL 300s) - pokemon_radar_api.py：FastAPI /scan，從 Redis 讀取並依 request 即時二次篩選；Redis 不可用時回 200 空結果，不再 500 - pokemon_location_fetcher.py：舊版 CLI，仍由 fetch_and_upload.sh 使用 - 文件：README (參考手冊)、QUICKSTART (操作指南)、SUMMARY (故事線)、CLAUDE.md Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
51 lines
1.6 KiB
Python
51 lines
1.6 KiB
Python
from pokemon_location_fetcher import PokemonRadarClient
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import json
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# ===== 你可調的參數 =====
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LAT, LNG, ZOOM = 25.0478, 121.5170, 12
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STATE_PATH = "state.json"
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UA_FROM_STATE = True
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SHOT = True
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# 篩選參數（先保守，不加過度嚴格的條件）
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MIN_REMAINING = 300
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MIN_IV = None # ex: 90
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PERFECT_ONLY = True # 只要 100% IV
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SPECIES = "" # ex: "133,669,伊布"
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# ===== 開始跑 =====
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client = PokemonRadarClient() # 可改 url/token/script，如有需要
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payload = client.fetch(LAT, LNG, zoom=ZOOM, shot=SHOT, state=STATE_PATH, ua_from_state=UA_FROM_STATE)
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items_raw = payload["items"]
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debug = payload.get("debug", {})
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print("----- debug notes -----")
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for n in debug.get("notes", []):
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print(n)
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print("-----------------------")
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print(f"📦 Raw items: {len(items_raw)}")
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# 先把「未過濾」的也存一份，方便你比對
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with open("pokemon_data_raw.json", "w", encoding="utf-8") as f:
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json.dump({"items": items_raw, "debug": debug}, f, ensure_ascii=False, indent=2)
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print("💾 Saved raw JSON to pokemon_data_raw.json")
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# 看一下前 3 筆
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for i, it in enumerate(items_raw[:3], 1):
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print(f"[raw #{i}] id={it.get('id')} name={it.get('name')} iv%={it.get('iv_pct')} rem={it.get('remaining')}")
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# 套用篩選
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items = client.postprocess(
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items_raw,
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min_remaining=MIN_REMAINING,
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min_iv=MIN_IV,
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perfect_only=PERFECT_ONLY,
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species=SPECIES,
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)
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print(f"🔎 Filtered items: {len(items)} "
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f"(min_remaining={MIN_REMAINING}, min_iv={MIN_IV}, perfect_only={PERFECT_ONLY}, species='{SPECIES}')")
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# 存「已過濾」版本（固定檔名）
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client.save(items, debug, payload.get("screenshot"))
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