Carga Inicial - SBGR

softwares/test/meteorologia_aeroportos/_diag_outliers.py

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+"""Diagnóstico de outliers no banco SQLite."""
+import sys; sys.path.insert(0, ".")
+from pathlib import Path
+import sqlite3
+import pandas as pd
+
+conn = sqlite3.connect("dados/met.db")
+
+LIMITS = {"T": (-25, 55), "Td": (-30, 40), "UR": (0, 100),
+          "QNH": (940, 1060), "WS": (0, 200), "WG": (0, 250),
+          "WD": (0, 360), "VIS": (0, 9999), "TETO": (0, 9999), "PREC": (0, 500)}
+
+print("=== Outliers por variável (fora dos limites físicos) ===\n")
+total = conn.execute("SELECT COUNT(*) FROM observations").fetchone()[0]
+print(f"Total observações: {total:,}\n")
+
+for col, (lo, hi) in LIMITS.items():
+    rows = conn.execute(f"""
+        SELECT aerodrome, dt, {col}
+        FROM observations
+        WHERE {col} IS NOT NULL AND ({col} < {lo} OR {col} > {hi})
+        ORDER BY ABS({col}) DESC LIMIT 10
+    """).fetchall()
+    if rows:
+        print(f"--- {col} (limite: {lo} a {hi}) ---")
+        for r in rows:
+            print(f"  {r[0]}  {r[1]}  {col}={r[2]}")
+        cnt = conn.execute(f"SELECT COUNT(*) FROM observations WHERE {col} < {lo} OR {col} > {hi}").fetchone()[0]
+        print(f"  Total fora do limite: {cnt:,} ({cnt/total*100:.2f}%)\n")
+
+# Estatísticas básicas
+print("\n=== Estatísticas básicas ===\n")
+cols = ", ".join([f"MIN({c}) as min_{c}, MAX({c}) as max_{c}, AVG({c}) as avg_{c}" for c in LIMITS])
+row = conn.execute(f"SELECT {cols} FROM observations").fetchone()
+keys = [f"{fn}_{c}" for c in LIMITS for fn in ("min","max","avg")]
+for k, v in zip(keys, row):
+    if v is not None:
+        print(f"  {k}: {v:.2f}")
+
+conn.close()