gw and plot

main.py

@@ -37,10 +37,12 @@ class AppState(TypedDict):
     client: MqttClient
     message_queue: MemoryObjectReceiveStream[MqttMessage]
     task_group: TaskGroup
+    history: dict[str, AwkwardArray]
 
 
 MQTT_BROKER: Final[str] = "192.168.2.189"
 MQTT_BROKER_PORT: Final[int] = 1883
+MAX_LENGTH = 600
 TOPIC: Final[str] = "GwData"
 NDArray = np.ndarray
 
@@ -82,6 +84,7 @@ def resource(params: Any = None):
         "client": unwrap(client),
         "message_queue": rx,
         "task_group": unwrap(tg),
+        "history": {},
     }
     return state
 
@@ -165,9 +168,7 @@ def payload_to_hr(payload: bytes) -> int:
 def main():
     state = resource()
     logger.info("Resource created")
-    history: dict[str, AwkwardArray] = {}
+    history = state["history"]
-
-    MAX_LENGTH = 500
 
     def push_new_message(message: GwMessage):
         dms = get_device_data(message)
@@ -193,9 +194,14 @@ def main():
         ak.to_parquet([history], filename)
         logger.info("Export to {}", filename)
 
-    export_btn = st.button(
+    def on_clear():
+        history.clear()
+        logger.info("History cleared")
+
+    st.button(
         "Export", help="Export the current data to a parquet file", on_click=on_export
     )
+    st.button("Clear", help="Clear the current data", on_click=on_clear)
     pannel = st.empty()
     while True:
         try:

parse_exported.ipynb

@@ -6,8 +6,59 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "from awkward import Record as AwkwardRecord, Array as AwkwardArray\n",
     "import awkward as ak"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "FILENAME = \"export-2024-11-12-16-59-20.parquet\"\n",
+    "data = ak.from_parquet(FILENAME)[0]\n",
+    "display(data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from typing import Literal\n",
+    "import plotly.graph_objects as go\n",
+    "import plotly.express as px\n",
+    "import numpy as np\n",
+    "\n",
+    "\n",
+    "def to_scatter(key: str, dev_history: AwkwardArray, plot_key: Literal[\"value\", \"rssi\"] = \"value\") -> go.Scatter:\n",
+    "    x = ak.to_numpy(dev_history[\"time\"])\n",
+    "    if plot_key == \"rssi\":\n",
+    "        y = ak.to_numpy(dev_history[\"rssi\"])\n",
+    "    elif plot_key == \"value\":\n",
+    "        y = ak.to_numpy(dev_history[\"value\"])\n",
+    "    else:\n",
+    "        raise ValueError(f\"Unknown plot_key: {plot_key}\")\n",
+    "    return go.Scatter(x=x, y=y, mode=\"lines+markers\", name=key)\n",
+    "\n",
+    "scatters: list[go.Scatter] = []\n",
+    "for k in data.fields:\n",
+    "    val = data[k]\n",
+    "    scatters.append(to_scatter(k, val, \"value\"))\n",
+    "\n",
+    "fig = go.Figure(scatters)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "display(fig)"
+   ]
   }
  ],
  "metadata": {
@@ -17,7 +68,15 @@
    "name": "python3"
   },
   "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
    "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
    "version": "3.12.7"
   }
  },

run.sh

@@ -0,0 +1 @@
+python -m streamlit run main.py