Adds DS data reading

main.py

@@ -50,6 +50,7 @@ latest_data: Dict[str, Any] = {
     "PU_1": None,
     "PU_2": None,
     "PU_3": None,
+    "DS" : None,
     "PatientSkid": {"QSkid": 0.0},
 }
 
@@ -70,7 +71,7 @@ last_flush_time = datetime.datetime.now()
 ## LOGGING
 
 
-def format_data(data):
+def format_PU_data(data):
     return {
         "timestamp": datetime.datetime.now().isoformat(),
         "Qperm": np.round(data.get("FM2", 0.0), 1),
@@ -101,6 +102,17 @@ def format_data(data):
     }
 
 
+def format_DS_data(data):
+    return {
+        "timestamp": datetime.datetime.now().isoformat(),
+        "Q_conso_filt": np.round(data.get("Qdrain_sp", 0.0), 1),
+        "TankLevel": np.round(data.get("TankLevel", 0.0), 1),
+        "Qinlet": np.round(data.get("Inlet_flow", 0.0), 1),
+        "Qoutlet": np.round(data.get("Outlet_flow", 0.0), 1),
+
+    }
+
+
 # CREDENTIALS
 
 # Load users from JSON file at startup
@@ -241,12 +253,16 @@ def get_pu_status():
 async def update_latest_data():
     global active_PUs
     while True:
-        for pu in active_PUs: # TODO: test
+        # PUs
+        for pu in active_PUs:
             data = can_backend.get_latest_data(pu_number=pu)
-            latest_data[f"PU_{pu}"] = format_data(data)
-            current_data = latest_data[f"PU_{pu}"]
-            logging.debug(f"[MONITOR BUFFER] PU{pu}: {current_data}")
-        # logging.info(f"[MONITOR BUFFER] latest_data: {latest_data}")
+            latest_data[f"PU_{pu}"] = format_PU_data(data)
+            logging.debug(f"[MONITOR BUFFER] PU{pu}: {latest_data[f"PU_{pu}"]}")
+        #DS
+        data = can_backend.get_latest_data(pu_number=0)
+        latest_data[f"DS"] = format_DS_data(data)
+
+        logging.debug(f"[MONITOR DS BUFFER] latest_DS_data: {latest_data}")
         await asyncio.sleep(0.05)
 
 
@@ -285,7 +301,7 @@ async def start_recording():
     filepath = os.path.join("recordings", filename)
 
     recording_file = open(filepath, "w", newline="")
-    fieldnames = ["timestamp", "pu", "QSkid"] + list(format_data({}).keys())
+    fieldnames = ["timestamp", "pu", "QSkid"] + list(format_PU_data({}).keys())
     recording_writer = csv.DictWriter(recording_file, fieldnames=fieldnames)
     recording_writer.writeheader()