Threejs migration

.gitignore

@@ -30,3 +30,6 @@ yarn-debug.log*
 yarn-error.log*
 yarn.lock
 package-lock.json
+
+# old files
+*.old

api/cesium_entity.py

@@ -6,13 +6,15 @@ def __init__(self,
                  attitude,
                  alpha=1,
                  useRPY=False,
+                 useXYZ=True,
                  viewModel=None):
 
         self.name = name
         self.position = position
         self.attitude = attitude
         self.alpha = alpha
         self.useRPY = useRPY
+        self.useXYZ = useXYZ
         #self.takeoffKey = takeoff_key
         self.viewModel = viewModel
         self.id = CesiumEntity.next_id
@@ -34,6 +36,11 @@ def fromJson(cls, json):
         else:
             useRPY = False
 
+        if "useXYZ" in json:
+            useXYZ = json['useXYZ']
+        else:
+            useXYZ = True
+
         if "viewModel" in json:
             viewModel = json['viewModel']
         else:
@@ -45,5 +52,6 @@ def fromJson(cls, json):
                    attitude=attitude,
                    alpha=alpha,
                    useRPY=useRPY,
+                   useXYZ=useXYZ,
                    viewModel=viewModel)
 

api/csvparser.py

@@ -25,6 +25,7 @@ def setDefaultEntities(self):
             name='csv default entity',
             alpha=1,
             useRPY=True,
+            useXYZ=False,
             position={
                 'table':'data',
                 'longitude':'lon',

api/parser.py

@@ -1,5 +1,5 @@
 from cesium_entity import CesiumEntity
-from os import path
+from os import path, makedirs
 import json
 
 class Parser:

api/server.py

@@ -1,15 +1,16 @@
 from engineio.async_drivers import gevent
-from flask import Flask, request
+from flask import Flask, request, send_file
 from flask_socketio import SocketIO, emit
 from flask_cors import CORS
 from threading import Thread
 from ulgparser import ULGParser
 from csvparser import CSVParser
 from time import localtime, strftime
-from os import makedirs, path
+from os import makedirs, path, getcwd
 from glob import glob
 from communication import Comm
 from datetime import datetime
+from sys import argv
 import store
 
 app = Flask(__name__)
@@ -20,6 +21,7 @@
 
 logs_dir = path.expanduser("~/Documents/tiplot/logs/")
 logs_dir = logs_dir.replace("\\", "/")
+
 if not path.exists(logs_dir):
     makedirs(logs_dir)
 
@@ -41,7 +43,7 @@ def choose_parser(file, logs_dir):
 
 @socketio.on("connect")
 def connected():
-    print("-> client has connected " + request.sid)
+    # print("-> client has connected " + request.sid)
     global thread
     if not thread.is_alive():
         print("-> Starting Communications Thread...")
@@ -75,6 +77,14 @@ def upload_log():
     return {'ok': ok}
 
 
+@app.route('/model')
+def model_3d():
+    if (len(argv) <= 1):
+        model = getcwd() + "/../obj/main.gltf" # debug mode
+    else:
+        model = argv[1]
+    return send_file(model)
+
 
 
 @socketio.on('get_entities_props')
@@ -132,7 +142,8 @@ def get_takeoff_position():
 
 @socketio.on("disconnect")
 def disconnected():
-    print("-> client has disconnected " + request.sid)
+    # print("-> client has disconnected " + request.sid)
+    pass
 
 def print_tiplot():
     print('''

api/store.py

@@ -40,22 +40,30 @@ def getKeys(self):
     def getEntitiesProps(self):
         data = []
         for e in self.entities:
+            if (e.position['table'] == e.attitude['table']):
+                merged = pd.DataFrame.from_dict(self.datadict[e.position['table']])
+            else:
+                merged = pd.merge_asof(self.datadict[e.position['table']], self.datadict[e.attitude['table']], on='timestamp_tiplot').bfill()
+            if e.useXYZ:
+                position_columns = [e.position['x'], e.position['y'], e.position['z']]
+                position_columns_mapped = { e.position['x']: 'x', e.position['y']: 'y', e.position['z']: 'z'}
+            else:
+                position_columns = [e.position['altitude'], e.position['lattitude'], e.position['longitude']]
+                position_columns_mapped = { e.position['longitude']: 'longitude', e.position['altitude']: 'altitude', e.position['lattitude']: 'lattitude'}
             if e.useRPY:
-                if (e.position['table'] == e.attitude['table']):
-                    merged = pd.DataFrame.from_dict(self.datadict[e.position['table']])
-                else:
-                    merged = pd.merge_asof(self.datadict[e.position['table']], self.datadict[e.attitude['table']], on='timestamp_tiplot').bfill()
-                raw = merged[[e.position['altitude'], e.position['lattitude'], e.position['longitude'],e.attitude['roll'],e.attitude['pitch'],e.attitude['yaw'],'timestamp_tiplot']]
-                renamed = raw.rename(columns={e.position['longitude']: 'longitude', e.position['altitude']: 'altitude',e.position['lattitude']: 'lattitude', e.attitude['roll'] : 'roll',e.attitude['pitch'] : 'pitch',e.attitude['yaw'] : 'yaw'}).to_dict('records')
-                data.append({ "id": e.id,"entity_name": e.name,"alpha": e.alpha,  "useRPY": e.useRPY,"props": renamed})
+                attitude_columns = [e.attitude['roll'], e.attitude['pitch'], e.attitude['yaw']]
+                attitude_columns_mapped = {e.attitude['roll'] : 'roll', e.attitude['pitch'] : 'pitch', e.attitude['yaw'] : 'yaw'}
             else:
-                if (e.position['table'] == e.attitude['table']):
-                    merged = pd.DataFrame.from_dict(self.datadict[e.position['table']])
-                else:
-                    merged = pd.merge_asof(self.datadict[e.position['table']], self.datadict[e.attitude['table']], on='timestamp_tiplot').bfill()
-                raw = merged[[e.position['altitude'], e.position['lattitude'], e.position['longitude'],e.attitude['q0'],e.attitude['q1'],e.attitude['q2'], e.attitude['q3'],'timestamp_tiplot']]
-                renamed = raw.rename(columns={e.position['longitude']: 'longitude', e.position['altitude']: 'altitude',e.position['lattitude']: 'lattitude', e.attitude['q0'] : 'q0',e.attitude['q1'] : 'q1',e.attitude['q2'] : 'q2',e.attitude['q3'] : 'q3'}).to_dict('records')
-                data.append({"id": e.id,"entity_name": e.name,"alpha": e.alpha,  "useRPY": e.useRPY,"props": renamed})
+                attitude_columns = [e.attitude['q0'],e.attitude['q1'],e.attitude['q2'], e.attitude['q3']]
+                attitude_columns_mapped = {e.attitude['q0'] : 'q0', e.attitude['q1'] : 'q1', e.attitude['q2'] : 'q2', e.attitude['q3'] : 'q3'}
+            columns = position_columns + attitude_columns + ['timestamp_tiplot']
+            mapped_columns = {}
+            mapped_columns.update(position_columns_mapped)
+            mapped_columns.update(attitude_columns_mapped)
+            raw = merged[columns]
+            renamed = raw.rename(columns=mapped_columns).to_dict('records')
+            data.append({"id": e.id,"entity_name": e.name,"alpha": e.alpha,  "useRPY": e.useRPY, "useXYZ": e.useXYZ,"props": renamed})
+
         return data
 
     def getEntities(self):

api/ulgparser.py

@@ -24,11 +24,13 @@ def parse(self,filename):
 
     def setDefaultEntities(self):
         entity = CesiumEntity(name='ulg default entity',
+                              useRPY=False,
+                              useXYZ=True,
                               position={
-                                  'table':'vehicle_global_position',
-                                  'longitude':'lon',
-                                  'lattitude':'lat',
-                                  'altitude':'alt',
+                                  'table':'vehicle_local_position',
+                                  'x':'x',
+                                  'y':'y',
+                                  'z':'z',
                               },
                               attitude={
                                   'table':'vehicle_attitude',