fix(controller): re-arm window_drop and expose kernel_datapath

Three fixes from live-calibrating the kernel impairment filters on an
isolated instance (Docker-to-Docker veth link, per-sequence evidence):

- update_filters skipped an unchanged filters dict as a no-op, so a
  one-shot window_drop outage that had already passed could never be
  re-armed: re-applying the same values produced no datapath command at
  all. A PUT still carrying window_drop now reconciles, restarting the
  schedule from the apply as documented. Measured: identical re-apply
  moves the outage window from seq 50-70 to 70-91 (arm at +8s of the
  new apply).

- gemodel parameter semantics were documented backwards in the
  validation rules, available_filters, the MCP/copilot descriptions and
  the feature docs. Measured against the kernel (per-direction counters,
  offered = sent + dropped): p is the good-to-bad transition chance, r
  the bad-to-good transition, 1-h the loss chance in the bad state (the
  good state loses nothing) - mean one-way loss p/(p+r)*(1-h), e.g.
  [10,30,100] -> 24.8%/25.7% measured vs 25% predicted, [5,45,100] ->
  10.8% both ways vs 10%.

- kernel_datapath was silently stripped from every REST/MCP link payload
  by the response model (LinkBase carried no such field), so clients
  could not tell a kernel link from a relay one.

Also verified on the same setup: the 3-argument window_drop form works
exactly as specified ([3000,5000,100] -> a single seq 31-55 outage,
[20000,6000,100] -> seq 115-144), and both generations of the command
builder emit the parameters unpadded.

Adds an API test for the field and controller tests for the no-op skip
and the window_drop re-arm exemption.

gns3server/agent/gns3_copilot/tools_v2/gns3_packet_filter.py

@@ -130,7 +130,8 @@ class GNS3PacketFilterTool(BaseTool):
     - "rate": Bandwidth cap, tc-style string like "512kbit" (kernel links only)
     - "reorder": Packet reordering (parameters: percentage, correlation, gap; needs delay;
       kernel links only)
-    - "gemodel": Gilbert-Elliot bursty loss (parameters: p, r, 1-h; kernel links only)
+    - "gemodel": Gilbert-Elliot bursty loss (parameters: p good-to-bad transition, r bad-to-good
+      transition, 1-h loss in the bad state; mean loss = p/(p+r)*(1-h); kernel links only)
     - "duplicate": Packet duplication percentage (kernel links only)
     - "seed": Reproducible netem random draws (kernel links only)
     - "limit": Impairment queue depth in packets (kernel links only)

gns3server/agent/mcp/__init__.py

@@ -817,7 +817,10 @@ async def link_update(
       * rate (K): ["512kbit"] - Bandwidth cap, tc-style int+unit (bit/kbit/
         mbit/gbit/bps/kbps/mbps, max 100gbit)
       * reorder (K): [pct, correl?, gap?] - Requires delay to also be set
-      * gemodel (K): [p, r, 1-h] - Gilbert-Elliot bursty loss; mutually
+      * gemodel (K): [p, r, 1-h] - Gilbert-Elliot bursty loss; p = chance
+        of moving from the good to the bad state, r = chance of moving back,
+        1-h = loss chance in the bad state (the good state loses nothing);
+        steady-state mean loss = p/(p+r)*(1-h) per direction; mutually
         exclusive with packet_loss
       * duplicate (K): [pct, correl?] - Duplication percentage
       * seed (K): [u32] - Makes netem random draws reproducible
@@ -830,7 +833,10 @@ async def link_update(
         outage (traffic passes before and after), 4 args = recurring flap
         (period >= outage), 5 args = per-cycle timing randomized within +/-
         jitter. start is measured from the moment this filter is applied and
-        ANY filter update / node restart restarts the schedule; start 0 =
+        ANY filter update (including re-sending the same values) or node
+        restart restarts the schedule — a one-shot window that already
+        passed will not fire again until re-applied, so arm the filter
+        immediately before generating traffic (or use a period); start 0 =
         outage begins immediately (active, not disabled)
 
     Example filters:

gns3server/controller/link.py

@@ -105,12 +105,14 @@ FILTERS = [
     {
         "type": "gemodel",
         "name": "Gilbert-Elliot loss",
-        "description": "Bursty loss model: p is the loss chance in the bad state, r in the good state, 1-h the "
-        "chance of moving from good to bad. Mutually exclusive with packet loss; kernel-datapath links only",
+        "description": "Bursty loss model: p is the chance of moving from the good to the bad state, r the chance "
+        "of moving back, and 1-h the loss chance while in the bad state (the good state loses nothing) — the "
+        "steady-state mean loss is p/(p+r) x (1-h). Mutually exclusive with packet loss; kernel-datapath links "
+        "only",
         "parameters": [
-            {"name": "p (bad-state loss)", "minimum": 0, "maximum": 100, "type": "int", "unit": "%"},
-            {"name": "r (good-state loss)", "minimum": 0, "maximum": 100, "type": "int", "unit": "%"},
-            {"name": "1-h (good-to-bad)", "minimum": 0, "maximum": 100, "type": "int", "unit": "%"},
+            {"name": "p (good-to-bad)", "minimum": 0, "maximum": 100, "type": "int", "unit": "%"},
+            {"name": "r (bad-to-good)", "minimum": 0, "maximum": 100, "type": "int", "unit": "%"},
+            {"name": "1-h (bad-state loss)", "minimum": 0, "maximum": 100, "type": "int", "unit": "%"},
         ],
     },
     {
@@ -338,7 +340,12 @@ class Link:
                     )
                 )
 
-        if new_filters != self.filters:
+        # An unchanged filters dict is normally a no-op skip, but a PUT that
+        # still carries window_drop must reconcile: the outage schedule is
+        # measured from the apply, so re-sending the same window has to
+        # re-arm the one-shot outage (the documented contract is that any
+        # filter update restarts the schedule).
+        if new_filters != self.filters or "window_drop" in new_filters:
             self._filters = new_filters
             if self._created:
                 await self.update()

gns3server/schemas/controller/links.py

@@ -81,6 +81,11 @@ class Link(LinkBase):
     link_id: UUID
     project_id: Optional[UUID] = None
     link_type: Optional[LinkType] = None
+    kernel_datapath: Optional[bool] = Field(
+        None,
+        description="Read only property. True when this link is wired through kernel veth/bridge interfaces "
+        "(currently Docker-to-Docker on one compute) instead of the uBridge UDP relay",
+    )
     capturing: Optional[bool] = Field(None, description="Read only property. True if a capture running on the link")
     capture_file_name: Optional[str] = Field(
         None, description="Read only property. The name of the capture file if a capture is running"

gns3server/utils/packet_filter_validation.py

@@ -210,12 +210,15 @@ def validate_filter_parameters(filter_type: str, values: List[Any]) -> None:
             "units": ["%", "%", "packets"],
         },
         "gemodel": {
-            # Gilbert-Elliot loss model, tc semantics: p = loss probability in
-            # the bad state, r = loss probability in the good state, 1-h =
-            # probability of moving from the good to the bad state.
+            # Gilbert-Elliot loss model, tc semantics (verified against the
+            # kernel on kernel-datapath links): p = probability of moving
+            # from the good to the bad state (PGAP), r = probability of
+            # moving back (PGBP), 1-h = loss probability in the bad state
+            # (the good state loses nothing). Steady-state mean loss is
+            # p/(p+r) * (1-h) per direction.
             "params_count": (1, 3),
             "ranges": [(0, 100), (0, 100), (0, 100)],
-            "names": ["p (bad-state loss)", "r (good-state loss)", "1-h (good-to-bad transition)"],
+            "names": ["p (good-to-bad transition)", "r (bad-to-good transition)", "1-h (bad-state loss)"],
             "units": ["%", "%", "%"],
         },
         "seed": {"params_count": (1, 1), "ranges": [(0, 4294967295)], "names": ["Seed"], "units": [""]},