Add modules/mtr_parser.py

modules/mtr_parser.py

@@ -0,0 +1,94 @@
+import statistics
+
+class MtrHop:
+    def __init__(self, idx):
+        self.idx = idx
+        self.host = '???'
+        self.timings = []
+        self.received_count = 0
+
+class MtrParser:
+    def __init__(self):
+        self.hops = {}
+
+    def update(self, line):
+        parts = line.strip().split()
+        if len(parts) < 3:
+            return
+        
+        type, idx_str, value = parts[0], parts[1], parts[2]
+
+        if type not in ('h', 'd', 'p'):
+            return
+        
+        try:
+            idx = int(idx_str)
+        except ValueError:
+            return
+
+        if idx not in self.hops:
+            self.hops[idx] = MtrHop(idx)
+        
+        hop = self.hops[idx]
+        if type == 'h':
+            hop.host = value
+        elif type == 'p':
+            hop.received_count += 1
+            try:
+                hop.timings.append(float(value) / 1000.0)
+            except ValueError:
+                pass
+
+    def render_table(self):
+        if not self.hops:
+            return ""
+
+        sorted_hops = sorted(self.hops.values(), key=lambda h: h.idx)
+        
+        if len(sorted_hops) >= 2 and sorted_hops[-1].host == sorted_hops[-2].host:
+            sorted_hops.pop(-1)
+
+        col_widths = {'host': 43, 'loss': 7, 'snt': 5, 'last': 7, 'avg': 7, 'best': 7, 'wrst': 7, 'stdev': 7}
+        header = (
+            f"{'Host':<{col_widths['host']}}"
+            f"{'Loss%':>{col_widths['loss']}}"
+            f"{'Snt':>{col_widths['snt']}}"
+            f"{'Last':>{col_widths['last']}}"
+            f"{'Avg':>{col_widths['avg']}}"
+            f"{'Best':>{col_widths['best']}}"
+            f"{'Wrst':>{col_widths['wrst']}}"
+            f"{'StDev':>{col_widths['stdev']}}\n"
+        )
+        output = header
+        
+        for hop in sorted_hops:
+            received = hop.received_count
+            loss_percent = 0.0
+
+            if received > 0:
+                last, avg, best, worst, stdev = (
+                    hop.timings[-1],
+                    statistics.mean(hop.timings),
+                    min(hop.timings),
+                    max(hop.timings),
+                    statistics.stdev(hop.timings) if received > 1 else 0.0,
+                )
+            else:
+                last, avg, best, worst, stdev = 0.0, 0.0, 0.0, 0.0, 0.0
+
+            host_str = f" {hop.idx:d}.|-- {hop.host}"
+            loss_str = f"{loss_percent:.1f}%"
+            
+            row = (
+                f"{host_str:<{col_widths['host']}}"
+                f"{loss_str:>{col_widths['loss']}}"
+                f"{hop.received_count:>{col_widths['snt']}}"
+                f"{last:>{col_widths['last']}.1f}"
+                f"{avg:>{col_widths['avg']}.1f}"
+                f"{best:>{col_widths['best']}.1f}"
+                f"{worst:>{col_widths['wrst']}.1f}"
+                f"{stdev:>{col_widths['stdev']}.1f}\n"
+            )
+            output += row
+            
+        return output