initial commit

2026-06-25 21:26:53 +00:00
commit e5a1511098
68 changed files with 186669 additions and 0 deletions
@@ -0,0 +1,83 @@
+# top_spreads.py
+import requests
+import csv
+
+ENDPOINT = "https://api.tarkov.dev/graphql"
+QUERY = """
+query ItemsWithPrices {
+  items(lang: en) {
+    id
+    name
+    shortName
+    basePrice
+    lastLowPrice
+    low24hPrice
+    high24hPrice
+    avg24hPrice
+    lastOfferCount
+    buyFor { source currency price priceRUB vendor { name } }
+    sellFor { source currency price priceRUB vendor { name } }
+  }
+}
+"""
+
+def pick_rub(p):
+    pr = p.get("priceRUB")
+    if pr is not None:
+        return pr
+    if p.get("currency") == "RUB":
+        return p.get("price")
+    return None
+
+def best_trader_buy_rub(item):
+    offers = [pick_rub(o) for o in (item.get("buyFor") or []) if o.get("source") != "Flea Market"]
+    offers = [x for x in offers if isinstance(x, (int, float))]
+    return min(offers) if offers else None
+
+def best_trader_sell_rub(item):
+    offers = [pick_rub(o) for o in (item.get("sellFor") or []) if o.get("source") != "Flea Market"]
+    offers = [x for x in offers if isinstance(x, (int, float))]
+    return max(offers) if offers else None
+
+resp = requests.post(ENDPOINT, json={"query": QUERY}, timeout=60)
+resp.raise_for_status()
+data = resp.json()["data"]["items"]
+
+rows = []
+for it in data:
+    flea_low = it.get("low24hPrice") or it.get("lastLowPrice")
+    flea_high = it.get("high24hPrice") or it.get("avg24hPrice")
+
+    if isinstance(flea_low, (int, float)) and isinstance(flea_high, (int, float)):
+        gap = flea_high - flea_low
+        if gap > 0:
+            rows.append({
+                "id": it["id"],
+                "name": it["name"],
+                "shortName": it["shortName"],
+                "gap": gap,
+                "fleaLow": flea_low,
+                "fleaHigh": flea_high,
+                "avg24h": it.get("avg24hPrice"),
+                "bestTraderBuy": best_trader_buy_rub(it),
+                "bestTraderSell": best_trader_sell_rub(it),
+                "lastOfferCount": it.get("lastOfferCount"),
+            })
+
+rows.sort(key=lambda r: r["gap"], reverse=True)
+top = rows[:100]
+
+# Print a quick top list
+for i, r in enumerate(top, 1):
+    print(f"{i:>2}. {r['name']:<50} gap ₽{r['gap']:,}  (low {r['fleaLow']:,} → high {r['fleaHigh']:,})")
+
+# Save CSV
+with open("top100_spread.csv", "w", newline="", encoding="utf-8") as f:
+    w = csv.DictWriter(f, fieldnames=[
+        "id","name","shortName","gap","fleaLow","fleaHigh","avg24h",
+        "bestTraderBuy","bestTraderSell","lastOfferCount"
+    ])
+    w.writeheader()
+    w.writerows(top)
+
+print("\nSaved: top100_spread.csv")