import/export aggregate stats #162

scripts/scripts/stats/imports_exports.py

@@ -0,0 +1,44 @@
+"""Run at `scripts/` with `python3 -m scripts.stats.imports_exports`.
+
+Adopted from `as_all_some`.
+"""
+
+from scripts.fig.dataframes import as_stats_all_df
+
+PORTS = ("import", "export")
+TAGS = ("ok", "skip", "unrec", "meh", "err")
+
+
+def main() -> None:
+    df = as_stats_all_df(
+        [f"{port}_{tag}" for tag in TAGS for port in PORTS] + ["aut_num"]
+    )
+    n_as = len(df)
+    print(f"{n_as:,} ASes in total.")
+
+    for tag in TAGS:
+        df[f"total_{tag}"] = sum((df[f"{port}_{tag}"] for port in PORTS))
+    df["total"] = sum((df[f"total_{tag}"] for tag in TAGS))
+
+    n_total = df["total"].sum()
+    print(f"{n_total:,} total imports/exports.")
+    for tag in TAGS:
+        n_tag = df[f"total_{tag}"].sum()
+        percentage = n_tag * 100.0 / n_total
+        print(f"{n_tag:,} total {tag}, {percentage:.1f}%.")
+
+    for port in PORTS:
+        df[f"total_{port}"] = sum((df[f"{port}_{tag}"] for tag in TAGS))
+        n_port = df[f"total_{port}"].sum()
+        percentage = n_port * 100.0 / n_total
+        print(f"\n{n_port:,} {port}, {percentage:.1f}%.")
+        for tag in TAGS:
+            n_tag = df[f"{port}_{tag}"].sum()
+            percentage_total = n_tag * 100.0 / n_total
+            percentage = n_tag * 100.0 / n_port
+            print(
+                f"{n_tag:,} {tag} in {port}, {percentage_total:.1f}% out of total, {percentage:.1f}% out of {port}."
+            )
+
+
+main() if __name__ == "__main__" else None