diff --git a/Dockerfile b/Dockerfile
index 5d6b4f9..583973e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,4 +1,4 @@
 FROM python:3.11
 
 RUN apt-get update -y ; apt-get install -y nano netcdf-bin
-RUN pip install xarray netcdf4 numpy scipy pymongo shapely
+RUN pip install xarray netcdf4 numpy scipy pymongo shapely geopy
diff --git a/gridtools.py b/gridtools.py
index 4453552..3671a5b 100644
--- a/gridtools.py
+++ b/gridtools.py
@@ -1,16 +1,30 @@
-import scipy, numpy, copy
+import scipy, numpy, copy, math
 
 def label_features(feature_map, structure=[[1,1,1],[1,1,1],[1,1,1]], connected_poles=True, periodic_dateline=True):
     # given a 2D numpy array feature_map[latitude][longitude] labeling features with 1 and voids with 0,
     # label distinct isolated features. 
     # periodic_dateline = True makes a periodic boundary on the inner index
     # connected_poles = True makes all features touching a pole connected
+
     labeled_map = scipy.ndimage.label(feature_map, structure=structure)[0]
+
     # periodic boundary
     if periodic_dateline:
-        for y in range(labeled_map.shape[0]):
-            if labeled_map[y, 0] > 0 and labeled_map[y, -1] > 0:
-                labeled_map[labeled_map == labeled_map[y, -1]] = labeled_map[y, 0]
+        if structure == [[0,1,0],[1,1,1],[0,1,0]]:
+            # no diag
+            for y in range(labeled_map.shape[0]):
+                if labeled_map[y, 0] > 0 and labeled_map[y, -1] > 0:
+                    labeled_map[labeled_map == labeled_map[y, -1]] = labeled_map[y, 0]
+        elif structure == [[1,1,1],[1,1,1],[1,1,1]]:
+            # diagonally connected
+            for y in range(labeled_map.shape[0]):
+                if labeled_map[y, 0] > 0 and labeled_map[y, -1] > 0:
+                    labeled_map[labeled_map == labeled_map[y, -1]] = labeled_map[y, 0]
+                elif labeled_map[y, 0] > 0 and labeled_map[max(y-1,0), -1]  > 0:
+                    labeled_map[labeled_map == labeled_map[max(y-1,0), -1]] = labeled_map[y, 0]
+                elif labeled_map[y, 0] > 0 and labeled_map[min(y+1,labeled_map.shape[0]-1), -1]  > 0:
+                    labeled_map[labeled_map == labeled_map[min(y+1,labeled_map.shape[0]-1), -1]] = labeled_map[y, 0]
+          
     # connected poles
     if connected_poles:
         spole_features = [x for x in numpy.unique(labeled_map[0]) if x > 0]
@@ -24,15 +38,21 @@ def label_features(feature_map, structure=[[1,1,1],[1,1,1],[1,1,1]], connected_p
 
     return labeled_map
 
-def trace_shape(labeled_map, label, nlatsteps=361):
-    # trace the shape labeled with <label> in the map returned by label_features
+def trace_shape(labeled_map, label, winding='CCW'):
+    # trace the shape labeled with <label> in the map returned by label_features, in the direction indicated by winding, either CW or CCW
+    # note this function assumes a labeled_map without diagonal connections, behavior with diagonal connections is undefined
 
     nlon = len(labeled_map[0])
+    nlat = len(labeled_map)
 
     # find a top edge, and take its two top vertexes as the first two boundary vertexes, in order
     cells = numpy.where(labeled_map == label)
-    vertexes = [[cells[0][0],cells[1][0]], [cells[0][0],(cells[1][0]+1) % nlon]]
-    facing = 'R'
+    if winding == 'CW':
+        vertexes = [[cells[0][0],cells[1][0]], [cells[0][0],(cells[1][0]+1) % nlon]]
+        facing = 'R'
+    else:
+        vertexes = [[cells[0][0],(cells[1][0]+1) % nlon], [cells[0][0],cells[1][0]]]
+        facing = 'L'
     while not numpy.array_equal(vertexes[0], vertexes[-1]):
         # determine which pattern we're in as a function of present vertex and direction
         # make the appropriate move to generate nextvertex, and append it to vertexes
@@ -51,7 +71,7 @@ def trace_shape(labeled_map, label, nlatsteps=361):
             facing, delta_iLat, delta_iLon = choose_move(label, labeled_map, n_vertexes[-1][0], n_vertexes[-1][1], facing)
             n_vertexes.append([n_vertexes[-1][0]+delta_iLat, (n_vertexes[-1][1]+delta_iLon)%nlon])
         # decide who is the blob and who is the hole
-        n_vertexes_north = len([x for x in n_vertexes if x[0] > nlatsteps/2])
+        n_vertexes_north = len([x for x in n_vertexes if x[0] > nlat/2])
         if n_vertexes_north / len(n_vertexes):
             # most points are in the northern hemisphere, n_vertexes is the hole
             return [vertexes, n_vertexes]
@@ -169,16 +189,17 @@ def transform_facing_and_position(currentFacing, change):
     else:
         raise Exception(f'no valid change found {currentFacing}, {change}')
 
-def generate_geojson(labeled_map, label, index2coords, connected_poles=True, periodic_dateline=True):
+def generate_geojson(labeled_map, label, index2coords, periodic_dateline=True, enforce_CCW=True, reverse_winding=False):
     # given a map <labeled_map> returned by label_features and the <label> of interest,
     # and a function index2coords that takes [lat_idx, lon_idx] and returns [lon, lat]
     # return a valid geojson MultiPolygon representing the labeled feature.
     # <connected_poles> and <periodic_dateline> should be the same as used when creating <labeled_map>
+    # reverse_winding=True reverses the winding set by trace_shape; use this if an axis is flipped, ie sothern latitudes are at lower indexes, at the 'top' of the grid.
 
     flags = set(())
     local_map = copy.deepcopy(labeled_map)
     local_map[labeled_map != label] = 0 # gets rid of other ARs in a the AR binary flag map
-    local_sublabels_map = label_features(local_map, structure=[[0,1,0],[1,1,1],[0,1,0]], connected_poles=True, periodic_dateline=True)
+    local_sublabels_map = label_features(local_map, structure=[[0,1,0],[1,1,1],[0,1,0]], connected_poles=False, periodic_dateline=periodic_dateline) # don't connect the poles here, want to trace_shape on non-diagonally connected subregions
     local_sublabels = [x for x in numpy.unique(local_sublabels_map) if x != 0] # these are the rings that belong as top level objects in this blob
 
     # get the outer loops
@@ -241,34 +262,35 @@ def generate_geojson(labeled_map, label, index2coords, connected_poles=True, per
             if h == 0:
                 continue
             else:
-                vertexes = trace_shape(holes, h)[0]
+                vertexes = trace_shape(holes, h, winding='CW')[0]
                 loops[j].append(vertexes)
                 flags.add('holes')
 
-    # straight runs need only the first and last point
-    for j, loop in enumerate(loops):
-        for k, poly in enumerate(loop):
-            reduced_poly = [poly[0]]
-            for v in range(1,len(poly)-1):
-                if poly[v][0] == reduced_poly[-1][0] and poly[v][0] == poly[v+1][0]:
-                    continue
-                elif poly[v][1] == reduced_poly[-1][1] and poly[v][1] == poly[v+1][1]:
-                    continue
-                else:
-                    reduced_poly.append(poly[v])
-            reduced_poly.append(poly[-1])
-            # a polygon that loops the entire planet in a straight line will at this point be reduced to just the 'starting' point,
-            # need to reinject another point from the line to make valid geojson
-            if len(reduced_poly) == 2:
-                reduced_poly.insert(1, poly[math.floor(len(poly)/2)])
-                reduced_poly.insert(2, poly[math.floor(len(poly)/2)+1])
-            loops[j][k] = reduced_poly
-
-    # map indexes back onto real locations and return the geojson
-    return {"type": "MultiPolygon", "coordinates": [[[index2coords(index) for index in poly] for poly in loop] for loop in loops]}, flags
-
-
-
+    # # straight runs need only the first and last point
+    # for j, loop in enumerate(loops):
+    #     for k, poly in enumerate(loop):
+    #         reduced_poly = [poly[0]]
+    #         for v in range(1,len(poly)-1):
+    #             if poly[v][0] == reduced_poly[-1][0] and poly[v][0] == poly[v+1][0]:
+    #                 continue
+    #             elif poly[v][1] == reduced_poly[-1][1] and poly[v][1] == poly[v+1][1]:
+    #                 continue
+    #             else:
+    #                 reduced_poly.append(poly[v])
+    #         reduced_poly.append(poly[-1])
+    #         # a polygon that loops the entire planet in a straight line will at this point be reduced to just the 'starting' point,
+    #         # need to reinject another point from the line to make valid geojson
+    #         if len(reduced_poly) == 2:
+    #             reduced_poly.insert(1, poly[math.floor(len(poly)/2)])
+    #             reduced_poly.insert(2, poly[math.floor(len(poly)/2)+1])
+    #         loops[j][k] = reduced_poly
 
+    # map indexes back onto real locations
+    coords = [[[index2coords(index) for index in poly] for poly in loop] for loop in loops]
 
+    if reverse_winding:
+        for i, blob in enumerate(coords):
+            for j, loop in enumerate(blob):
+                coords[i][j].reverse()
 
+    return {"type": "MultiPolygon", "coordinates": coords}, flags
diff --git a/parameters/basinmask_01.nc b/parameters/basinmask_01.nc
new file mode 100755
index 0000000..3a0a72b
Binary files /dev/null and b/parameters/basinmask_01.nc differ
diff --git a/populate-AR.py b/populate-AR.py
index 8c70eb2..3fada0d 100644
--- a/populate-AR.py
+++ b/populate-AR.py
@@ -5,6 +5,7 @@
 from collections import defaultdict
 import gridtools
 from functools import partial
+from geopy import distance
 
 numpy.set_printoptions(threshold=sys.maxsize)
 numpy.set_printoptions(linewidth=200000)
@@ -16,6 +17,37 @@
 
 # helper functions
 
+basins = xarray.open_dataset('parameters/basinmask_01.nc')
+def find_basin(basins, lon, lat):
+    # for a given lon, lat,
+    # identify the basin from the lookup table.
+    # choose the nearest non-nan grid point.
+
+    gridspacing = 0.5
+
+    basin = basins['BASIN_TAG'].sel(LONGITUDE=lon, LATITUDE=lat, method="nearest").to_dict()['data']
+    if math.isnan(basin):
+        # nearest point was on land - find the nearest non nan instead.
+        lonplus = math.ceil(lon / gridspacing)*gridspacing
+        lonminus = math.floor(lon / gridspacing)*gridspacing
+        latplus = math.ceil(lat / gridspacing)*gridspacing
+        latminus = math.floor(lat / gridspacing)*gridspacing
+        grids = [(basins['BASIN_TAG'].sel(LONGITUDE=lonminus, LATITUDE=latminus, method="nearest").to_dict()['data'], distance.distance((lat, lon), (latminus, lonminus)).miles),
+                 (basins['BASIN_TAG'].sel(LONGITUDE=lonminus, LATITUDE=latplus, method="nearest").to_dict()['data'], distance.distance((lat, lon), (latplus, lonminus)).miles),
+                 (basins['BASIN_TAG'].sel(LONGITUDE=lonplus, LATITUDE=latplus, method="nearest").to_dict()['data'], distance.distance((lat, lon), (latplus, lonplus)).miles),
+                 (basins['BASIN_TAG'].sel(LONGITUDE=lonplus, LATITUDE=latminus, method="nearest").to_dict()['data'], distance.distance((lat, lon), (latminus, lonplus)).miles)]
+
+        grids = [x for x in grids if not math.isnan(x[0])]
+        if len(grids) == 0:
+            # all points on land
+            #print('warning: all surrounding basin grid points are NaN')
+            basin = -1
+        else:
+            grids.sort(key=lambda tup: tup[1])
+            basin = grids[0][0]
+    return int(basin)
+
+
 def index2coords(longitudes, latitudes, index):
     # index [lat_idx, lon_idx]; return [lon, lat]
     lon = longitudes[index[1]] - 5./16.
@@ -55,41 +87,23 @@ def add_noise(mp):
 
     return MP
 
-# # hack
-# def add_noise(mp):
-#     # take a multipolygon and add a tiny amount of noise to each vertex
-#     # to try and dodge https://jira.mongodb.org/browse/SERVER-52928
-
-#     MP = copy.deepcopy(mp)
-#     noise = (random.random()-0.5)/1000000000
-
-#     for i, blob in enumerate(mp['coordinates']):
-#         for j, loop in enumerate(blob):
-#             for k, vertex in enumerate(loop):
-#             #     if MP['coordinates'][i][j][k][0] < 0:
-#             #         MP['coordinates'][i][j][k][0] += 360
-#             #     MP['coordinates'][i][j][k][0] -= 100
-#                 MP['coordinates'][i][j][k][1] += 10
-#             MP['coordinates'][i][j][0] = MP['coordinates'][i][j][-1] # close the loop
-
-#     return MP
-# # end hack
-
-# # hack
-# def add_noise(mp):
-#     # take a multipolygon and add a tiny amount of noise to each vertex
-#     # to try and dodge https://jira.mongodb.org/browse/SERVER-52928
-
-#     MP = copy.deepcopy(mp)
-#     noise = (random.random()-0.5)/1000000000
-
-#     for i, blob in enumerate(mp['coordinates']):
-#         for j, loop in enumerate(blob):
-#             pass
-#             MP['coordinates'][i][j].reverse()
-#     return MP
-# # end hack
-
+# generate a metadata document
+meta = {
+    '_id': 'ar',
+    'data_type': 'atmospheric_rivers',
+    'data_info': [
+        ['ivt'],
+        ['units', 'long_name'],
+        [['kg/m/s', 'integrated water vapor transport']]
+    ],
+    'date_updated_argovis': datetime.datetime.now(),
+    'source':[
+        {
+            'doi': 'https://doi.org/10.1175/MWR-D-13-00168.1'
+        }
+    ]
+}
+db.extendedMeta.replace_one({'_id': 'ar'}, meta, upsert=True)
 
 # unpack the netcdf
 longitudes = xar['longitude'].to_dict()['data']
@@ -111,17 +125,6 @@ def add_noise(mp):
     hhmmss = convert_hour(cal_hour)
     ar = ars[timestep].to_numpy()
     ivt = ivts[timestep].to_numpy()
-    # if numpy.any(ar[0]) or numpy.any(ar[-1]):
-    #     print(timestep, '-----------')
-    #     print(ar[0])
-    #     print(ar[-1])
-    # continue
-    #ar[-1] = numpy.zeros(len(ar[-1])) # last latitude bin is strictly the north pole, doesn't make sense to bin in longitude; suppress
-    #ar[-10] = numpy.ones(len(ar[-10])) # hack to check for weird behavior
-    #ar[-11] = numpy.ones(len(ar[-11]))
-    # ar[-2] = numpy.ones(len(ar[-2]))
-    # print(timestep, cal_year, cal_mon, cal_day, cal_hour)
-    # continue
 
     # label the ARs and make periodic on longitude boundary
     labeled_map = gridtools.label_features(ar)
@@ -134,23 +137,28 @@ def add_noise(mp):
             cells = numpy.where(labeled_map == label)
             lats = [latitudes[x] for x in cells[0]]
             lons = [longitudes[x] for x in cells[1]]
+            basin_set = set()
+            for i in range(len(lats)):
+                basin_set.add(find_basin(basins, lons[i], lats[i]))
             vapors = [ [ivt[cells[0][i]][cells[1][i]]] for i in range(len(cells[0])) ]
             raster = list(zip(lons, lats, vapors))
 
-            geo, flags = gridtools.generate_geojson(labeled_map, label, partial(index2coords, longitudes, latitudes))
+            geo, flags = gridtools.generate_geojson(labeled_map, label, partial(index2coords, longitudes, latitudes), reverse_winding=True)
             flags = list(flags)
             flags = ['south_pole' if x=='first_pole' else x for x in flags]
             flags = ['north_pole' if x=='last_pole' else x for x in flags]
             AR = {      
                 '_id': f'{cal_year}{cal_mon}{cal_day}{cal_hour}_{label}' , 
                 'timestamp': datetime.datetime(year=int(cal_year), month=int(cal_mon), day=int(cal_day), hour=int(cal_hour), minute=int((cal_hour*60) % 60), second=int((cal_hour*3600) % 60) ), 
+                'basins': list(basin_set),
                 'raster': raster, 
                 'flags': flags,
-                'geolocation': geo        
+                'geolocation': geo,
+                'metadata': ['ar']
             }
 
         try:
-            db.arShapes.insert_one(AR)
+            db.ar.insert_one(AR)
         except Exception as e:
             retries = 0
             while retries < 10:
@@ -158,12 +166,13 @@ def add_noise(mp):
                     # failing due to https://jira.mongodb.org/browse/SERVER-52928
                     print(f'trying to write AR {AR["_id"]} with noise')
                     AR_noise = copy.deepcopy(AR)
+                    AR_noise['true_geolocation'] = AR['geolocation']
                     AR_noise['geolocation'] = add_noise(AR_noise['geolocation'])
                     if 'flags' in AR_noise:
                         AR_noise['flags'].append('noise_added')
                     else:
                         AR_noise['flags'] = ['noise_added']
-                    db.arShapes.insert_one(AR_noise)
+                    db.ar.insert_one(AR_noise)
                     retries = 9999
                 except:
                     retries += 1
@@ -171,45 +180,4 @@ def add_noise(mp):
                 print(f'unable to write AR {AR["_id"]}')
 
 
-    # for AR in ARs:
-    #     #print(AR)
-
-
-    #     # try:
-    #     #     db.arShapes.insert_one(AR)
-    #     # except:
-    #     #     del AR['raster']
-    #     #     del AR['timestamp']
-    #     #     print(AR)
-
-
-    #     try:
-    #         db.arShapes.insert_one(AR)
-    #     except Exception as e:
-    #         retries = 0
-    #         while retries < 10:
-    #             try: 
-    #                 # failing due to https://jira.mongodb.org/browse/SERVER-52928
-    #                 print(f'trying to write AR {AR["_id"]} with noise')
-    #                 AR_noise = copy.deepcopy(AR)
-    #                 AR_noise['geolocation'] = add_noise(AR_noise['geolocation'])
-    #                 if 'flags' in AR_noise:
-    #                     AR_noise['flags'].append('noise_added')
-    #                 else:
-    #                     AR_noise['flags'] = ['noise_added']
-    #                 db.arShapes.insert_one(AR_noise)
-    #                 retries = 9999
-    #             except:
-    #                 retries += 1
-    #         if retries < 9999:
-    #             print(f'unable to write AR {AR["_id"]}')
-
-    # # #xx = {'geolocation': {'type': 'MultiPolygon', 'coordinates': [[[[-170.3125, -45.75], [-177.8125, -45.75], [-170.3125, -45.75], [-170.3125, -46.25], [-167.1875, -46.25], [-167.1875, -46.75], [-164.0625, -46.75], [-164.0625, -47.25], [-162.1875, -47.25], [-162.1875, -47.75], [-160.9375, -47.75], [-160.9375, -48.25], [-160.3125, -48.25], [-160.3125, -48.75], [-158.4375, -48.75], [-158.4375, -49.25], [-157.1875, -49.25], [-157.1875, -49.75], [-155.9375, -49.75], [-155.9375, -50.25], [-154.6875, -50.25], [-154.6875, -50.75], [-153.4375, -50.75], [-153.4375, -51.25], [-152.8125, -51.25], [-152.8125, -51.75], [-150.9375, -51.75], [-150.9375, -52.25], [-149.6875, -52.25], [-149.6875, -52.75], [-148.4375, -52.75], [-148.4375, -53.25], [-147.8125, -53.25], [-147.8125, -53.75], [-146.5625, -53.75], [-146.5625, -54.25], [-145.3125, -54.25], [-145.3125, -54.75], [-144.0625, -54.75], [-144.0625, -55.25], [-142.8125, -55.25], [-142.8125, -55.75], [-140.9375, -55.75], [-140.9375, -56.25], [-139.6875, -56.25], [-139.6875, -56.75], [-137.8125, -56.75], [-137.8125, -57.25], [-136.5625, -57.25], [-136.5625, -57.75], [-134.0625, -57.75], [-134.0625, -58.25], [-132.8125, -58.25], [-132.8125, -58.75], [-131.5625, -58.75], [-131.5625, -59.25], [-130.3125, -59.25], [-130.3125, -59.75], [-128.4375, -59.75], [-128.4375, -60.25], [-127.8125, -60.25], [-127.8125, -60.75], [-126.5625, -60.75], [-126.5625, -61.25], [-125.9375, -61.25], [-125.9375, -61.75], [-125.3125, -61.75], [-125.3125, -62.25], [-124.6875, -62.25], [-124.6875, -62.75], [-124.0625, -62.75], [-124.0625, -63.75], [-123.4375, -63.75], [-123.4375, -65.25], [-122.8125, -65.25], [-122.8125, -67.75], [-122.1875, -67.75], [-122.1875, -68.25], [-119.6875, -68.25], [-119.6875, -67.75], [-117.1875, -67.75], [-117.1875, -66.75], [-116.5625, -66.75], [-116.5625, -64.25], [-117.1875, -64.25], [-117.1875, -62.75], [-117.8125, -62.75], [-117.8125, -62.25], [-118.4375, -62.25], [-118.4375, -61.25], [-119.0625, -61.25], [-119.0625, -60.25], [-119.6875, -60.25], [-119.6875, -58.25], [-120.3125, -58.25], [-120.3125, -57.75], [-119.6875, -57.75], [-119.6875, -55.75], [-120.3125, -55.75], [-120.3125, -54.25], [-120.9375, -54.25], [-120.9375, -53.25], [-121.5625, -53.25], [-121.5625, -52.25], [-122.1875, -52.25], [-122.1875, -51.75], [-122.8125, -51.75], [-122.8125, -50.75], [-123.4375, -50.75], [-123.4375, -50.25], [-124.0625, -50.25], [-124.0625, -49.25], [-124.6875, -49.25], [-124.6875, -48.25], [-125.3125, -48.25], [-125.3125, -47.75], [-125.9375, -47.75], [-125.9375, -47.25], [-127.8125, -47.25], [-127.8125, -46.75], [-129.0625, -46.75], [-129.0625, -46.25], [-130.9375, -46.25], [-130.9375, -45.75], [-134.0625, -45.75], [-134.0625, -45.25], [-134.6875, -45.25], [-134.6875, -45.75], [-135.3125, -45.75], [-135.3125, -45.25], [-137.8125, -45.25], [-137.8125, -45.75], [-147.8125, -45.75], [-147.8125, -46.25], [-150.9375, -46.25], [-150.9375, -46.75], [-152.8125, -46.75], [-152.8125, -46.25], [-155.9375, -46.25], [-155.9375, -45.75], [-158.4375, -45.75], [-158.4375, -45.25], [-175, -45.25], [-175, -45.75], [-170.3125, -45.75]], [[176.5625, -45.25], [176.5625, -45.75], [174.6875, -45.75], [174.6875, -46.25], [172.8125, -46.25], [172.8125, -46.75], [170.9375, -46.75], [170.9375, -47.25], [169.0625, -47.25], [169.0625, -46.75], [167.1875, -46.75], [167.1875, -45.75], [166.5625, -45.75], [166.5625, -45.25], [165.9375, -45.25], [165.9375, -44.75], [165.3125, -44.75], [165.3125, -43.75], [164.0625, -43.75], [164.0625, -43.25], [162.8125, -43.25], [162.8125, -41.75], [162.1875, -41.75], [162.1875, -41.25], [161.5625, -41.25], [161.5625, -40.75], [160.9375, -40.75], [160.9375, -40.25], [160.3125, -40.25], [160.3125, -39.75], [159.6875, -39.75], [159.6875, -38.25], [159.0625, -38.25], [159.0625, -34.25], [157.8125, -34.25], [157.8125, -33.75], [157.1875, -33.75], [157.1875, -32.25], [156.5625, -32.25], [156.5625, -30.75], [157.1875, -30.75], [157.1875, -30.25], [156.5625, -30.25], [156.5625, -29.75], [155.3125, -29.75], [155.3125, -30.25], [154.6875, -30.25], [154.6875, -30.75], [153.4375, -30.75], [153.4375, -30.25], [152.8125, -30.25], [152.8125, -31.25], [151.5625, -31.25], [151.5625, -29.75], [150.9375, -29.75], [150.9375, -29.25], [151.5625, -29.25], [151.5625, -28.75], [150.9375, -28.75], [150.9375, -27.75], [149.6875, -27.75], [149.6875, -27.25], [148.4375, -27.25], [148.4375, -26.75], [147.8125, -26.75], [147.8125, -26.25], [147.1875, -26.25], [147.1875, -25.75], [145.9375, -25.75], [145.9375, -25.25], [145.3125, -25.25], [145.3125, -26.25], [144.6875, -26.25], [144.6875, -26.75], [143.4375, -26.75], [143.4375, -26.25], [142.8125, -26.25], [142.8125, -25.75], [141.5625, -25.75], [141.5625, -25.25], [140.3125, -25.25], [140.3125, -24.75], [137.8125, -24.75], [137.8125, -24.25], [135.3125, -24.25], [135.3125, -24.75], [135.9375, -24.75], [135.9375, -26.25], [138.4375, -26.25], [138.4375, -26.75], [139.6875, -26.75], [139.6875, -27.25], [140.3125, -27.25], [140.3125, -27.75], [142.1875, -27.75], [142.1875, -28.25], [143.4375, -28.25], [143.4375, -28.75], [144.6875, -28.75], [144.6875, -29.25], [145.3125, -29.25], [145.3125, -29.75], [146.5625, -29.75], [146.5625, -30.25], [147.1875, -30.25], [147.1875, -30.75], [147.8125, -30.75], [147.8125, -32.25], [148.4375, -32.25], [148.4375, -34.75], [149.0625, -34.75], [149.0625, -35.25], [149.6875, -35.25], [149.6875, -37.75], [150.9375, -37.75], [150.9375, -39.25], [151.5625, -39.25], [151.5625, -39.75], [152.1875, -39.75], [152.1875, -40.25], [152.8125, -40.25], [152.8125, -40.75], [153.4375, -40.75], [153.4375, -41.75], [154.0625, -41.75], [154.0625, -42.25], [154.6875, -42.25], [154.6875, -43.25], [155.3125, -43.25], [155.3125, -43.75], [154.6875, -43.75], [154.6875, -45.25], [155.3125, -45.25], [155.3125, -46.25], [155.9375, -46.25], [155.9375, -46.75], [156.5625, -46.75], [156.5625, -47.25], [157.1875, -47.25], [157.1875, -49.25], [157.8125, -49.25], [157.8125, -49.75], [158.4375, -49.75], [158.4375, -50.25], [159.0625, -50.25], [159.0625, -50.75], [160.3125, -50.75], [160.3125, -51.25], [162.8125, -51.25], [162.8125, -50.75], [166.5625, -50.75], [166.5625, -50.25], [169.6875, -50.25], [169.6875, -49.75], [170.9375, -49.75], [170.9375, -49.25], [172.8125, -49.25], [172.8125, -48.75], [174.0625, -48.75], [174.0625, -48.25], [174.6875, -48.25], [174.6875, -47.75], [175.9375, -47.75], [175.9375, -47.25], [177.8125, -47.25], [177.8125, -46.75], [179.0625, -46.75], [179.0625, -46.25], [-177.8125, -46.25], [-177.8125, -45.75], [-175, -45.75], [-175, -45.25], [176.5625, -45.25]]]]}}
-    # # # west half works
-    # # xx = {'_id': 'west', 'timestamp': None, 'raster': [], 'geolocation': {'type': 'MultiPolygon', 'coordinates': [[[[176.5625, -45.25], [176.5625, -45.75], [174.6875, -45.75], [174.6875, -46.25], [172.8125, -46.25], [172.8125, -46.75], [170.9375, -46.75], [170.9375, -47.25], [169.0625, -47.25], [169.0625, -46.75], [167.1875, -46.75], [167.1875, -45.75], [166.5625, -45.75], [166.5625, -45.25], [165.9375, -45.25], [165.9375, -44.75], [165.3125, -44.75], [165.3125, -43.75], [164.0625, -43.75], [164.0625, -43.25], [162.8125, -43.25], [162.8125, -41.75], [162.1875, -41.75], [162.1875, -41.25], [161.5625, -41.25], [161.5625, -40.75], [160.9375, -40.75], [160.9375, -40.25], [160.3125, -40.25], [160.3125, -39.75], [159.6875, -39.75], [159.6875, -38.25], [159.0625, -38.25], [159.0625, -34.25], [157.8125, -34.25], [157.8125, -33.75], [157.1875, -33.75], [157.1875, -32.25], [156.5625, -32.25], [156.5625, -30.75], [157.1875, -30.75], [157.1875, -30.25], [156.5625, -30.25], [156.5625, -29.75], [155.3125, -29.75], [155.3125, -30.25], [154.6875, -30.25], [154.6875, -30.75], [153.4375, -30.75], [153.4375, -30.25], [152.8125, -30.25], [152.8125, -31.25], [151.5625, -31.25], [151.5625, -29.75], [150.9375, -29.75], [150.9375, -29.25], [151.5625, -29.25], [151.5625, -28.75], [150.9375, -28.75], [150.9375, -27.75], [149.6875, -27.75], [149.6875, -27.25], [148.4375, -27.25], [148.4375, -26.75], [147.8125, -26.75], [147.8125, -26.25], [147.1875, -26.25], [147.1875, -25.75], [145.9375, -25.75], [145.9375, -25.25], [145.3125, -25.25], [145.3125, -26.25], [144.6875, -26.25], [144.6875, -26.75], [143.4375, -26.75], [143.4375, -26.25], [142.8125, -26.25], [142.8125, -25.75], [141.5625, -25.75], [141.5625, -25.25], [140.3125, -25.25], [140.3125, -24.75], [137.8125, -24.75], [137.8125, -24.25], [135.3125, -24.25], [135.3125, -24.75], [135.9375, -24.75], [135.9375, -26.25], [138.4375, -26.25], [138.4375, -26.75], [139.6875, -26.75], [139.6875, -27.25], [140.3125, -27.25], [140.3125, -27.75], [142.1875, -27.75], [142.1875, -28.25], [143.4375, -28.25], [143.4375, -28.75], [144.6875, -28.75], [144.6875, -29.25], [145.3125, -29.25], [145.3125, -29.75], [146.5625, -29.75], [146.5625, -30.25], [147.1875, -30.25], [147.1875, -30.75], [147.8125, -30.75], [147.8125, -32.25], [148.4375, -32.25], [148.4375, -34.75], [149.0625, -34.75], [149.0625, -35.25], [149.6875, -35.25], [149.6875, -37.75], [150.9375, -37.75], [150.9375, -39.25], [151.5625, -39.25], [151.5625, -39.75], [152.1875, -39.75], [152.1875, -40.25], [152.8125, -40.25], [152.8125, -40.75], [153.4375, -40.75], [153.4375, -41.75], [154.0625, -41.75], [154.0625, -42.25], [154.6875, -42.25], [154.6875, -43.25], [155.3125, -43.25], [155.3125, -43.75], [154.6875, -43.75], [154.6875, -45.25], [155.3125, -45.25], [155.3125, -46.25], [155.9375, -46.25], [155.9375, -46.75], [156.5625, -46.75], [156.5625, -47.25], [157.1875, -47.25], [157.1875, -49.25], [157.8125, -49.25], [157.8125, -49.75], [158.4375, -49.75], [158.4375, -50.25], [159.0625, -50.25], [159.0625, -50.75], [160.3125, -50.75], [160.3125, -51.25], [162.8125, -51.25], [162.8125, -50.75], [166.5625, -50.75], [166.5625, -50.25], [169.6875, -50.25], [169.6875, -49.75], [170.9375, -49.75], [170.9375, -49.25], [172.8125, -49.25], [172.8125, -48.75], [174.0625, -48.75], [174.0625, -48.25], [174.6875, -48.25], [174.6875, -47.75], [175.9375, -47.75], [175.9375, -47.25], [177.8125, -47.25], [177.8125, -46.75], [179.0625, -46.75], [179.0625, -46.25], [-177.8125, -46.25], [-177.8125, -45.75], [-175, -45.75], [-175, -45.25], [176.5625, -45.25]]]]}}
-    # # # east half works
-    # # xx = {'_id': 'east', 'timestamp': None, 'raster': [], 'geolocation': {'type': 'MultiPolygon', 'coordinates': [[[[-170.3125, -45.75], [-170.3125, -46.25], [-167.1875, -46.25], [-167.1875, -46.75], [-164.0625, -46.75], [-164.0625, -47.25], [-162.1875, -47.25], [-162.1875, -47.75], [-160.9375, -47.75], [-160.9375, -48.25], [-160.3125, -48.25], [-160.3125, -48.75], [-158.4375, -48.75], [-158.4375, -49.25], [-157.1875, -49.25], [-157.1875, -49.75], [-155.9375, -49.75], [-155.9375, -50.25], [-154.6875, -50.25], [-154.6875, -50.75], [-153.4375, -50.75], [-153.4375, -51.25], [-152.8125, -51.25], [-152.8125, -51.75], [-150.9375, -51.75], [-150.9375, -52.25], [-149.6875, -52.25], [-149.6875, -52.75], [-148.4375, -52.75], [-148.4375, -53.25], [-147.8125, -53.25], [-147.8125, -53.75], [-146.5625, -53.75], [-146.5625, -54.25], [-145.3125, -54.25], [-145.3125, -54.75], [-144.0625, -54.75], [-144.0625, -55.25], [-142.8125, -55.25], [-142.8125, -55.75], [-140.9375, -55.75], [-140.9375, -56.25], [-139.6875, -56.25], [-139.6875, -56.75], [-137.8125, -56.75], [-137.8125, -57.25], [-136.5625, -57.25], [-136.5625, -57.75], [-134.0625, -57.75], [-134.0625, -58.25], [-132.8125, -58.25], [-132.8125, -58.75], [-131.5625, -58.75], [-131.5625, -59.25], [-130.3125, -59.25], [-130.3125, -59.75], [-128.4375, -59.75], [-128.4375, -60.25], [-127.8125, -60.25], [-127.8125, -60.75], [-126.5625, -60.75], [-126.5625, -61.25], [-125.9375, -61.25], [-125.9375, -61.75], [-125.3125, -61.75], [-125.3125, -62.25], [-124.6875, -62.25], [-124.6875, -62.75], [-124.0625, -62.75], [-124.0625, -63.75], [-123.4375, -63.75], [-123.4375, -65.25], [-122.8125, -65.25], [-122.8125, -67.75], [-122.1875, -67.75], [-122.1875, -68.25], [-119.6875, -68.25], [-119.6875, -67.75], [-117.1875, -67.75], [-117.1875, -66.75], [-116.5625, -66.75], [-116.5625, -64.25], [-117.1875, -64.25], [-117.1875, -62.75], [-117.8125, -62.75], [-117.8125, -62.25], [-118.4375, -62.25], [-118.4375, -61.25], [-119.0625, -61.25], [-119.0625, -60.25], [-119.6875, -60.25], [-119.6875, -58.25], [-120.3125, -58.25], [-120.3125, -57.75], [-119.6875, -57.75], [-119.6875, -55.75], [-120.3125, -55.75], [-120.3125, -54.25], [-120.9375, -54.25], [-120.9375, -53.25], [-121.5625, -53.25], [-121.5625, -52.25], [-122.1875, -52.25], [-122.1875, -51.75], [-122.8125, -51.75], [-122.8125, -50.75], [-123.4375, -50.75], [-123.4375, -50.25], [-124.0625, -50.25], [-124.0625, -49.25], [-124.6875, -49.25], [-124.6875, -48.25], [-125.3125, -48.25], [-125.3125, -47.75], [-125.9375, -47.75], [-125.9375, -47.25], [-127.8125, -47.25], [-127.8125, -46.75], [-129.0625, -46.75], [-129.0625, -46.25], [-130.9375, -46.25], [-130.9375, -45.75], [-134.0625, -45.75], [-134.0625, -45.25], [-134.6875, -45.25], [-134.6875, -45.75], [-135.3125, -45.75], [-135.3125, -45.25], [-137.8125, -45.25], [-137.8125, -45.75], [-147.8125, -45.75], [-147.8125, -46.25], [-150.9375, -46.25], [-150.9375, -46.75], [-152.8125, -46.75], [-152.8125, -46.25], [-155.9375, -46.25], [-155.9375, -45.75], [-158.4375, -45.75], [-158.4375, -45.25], [-175, -45.25], [-175, -45.75], [-170.3125, -45.75]]]]}}
-    # # # their powers combined
-    # # xx = {'_id': 'xxx', 'timestamp': None, 'raster': [], 'geolocation': {'type': 'MultiPolygon', 'coordinates': [[[[-170.3125, -45.75], [-170.3125, -46.25], [-167.1875, -46.25], [-167.1875, -46.75], [-164.0625, -46.75], [-164.0625, -47.25], [-162.1875, -47.25], [-162.1875, -47.75], [-160.9375, -47.75], [-160.9375, -48.25], [-160.3125, -48.25], [-160.3125, -48.75], [-158.4375, -48.75], [-158.4375, -49.25], [-157.1875, -49.25], [-157.1875, -49.75], [-155.9375, -49.75], [-155.9375, -50.25], [-154.6875, -50.25], [-154.6875, -50.75], [-153.4375, -50.75], [-153.4375, -51.25], [-152.8125, -51.25], [-152.8125, -51.75], [-150.9375, -51.75], [-150.9375, -52.25], [-149.6875, -52.25], [-149.6875, -52.75], [-148.4375, -52.75], [-148.4375, -53.25], [-147.8125, -53.25], [-147.8125, -53.75], [-146.5625, -53.75], [-146.5625, -54.25], [-145.3125, -54.25], [-145.3125, -54.75], [-144.0625, -54.75], [-144.0625, -55.25], [-142.8125, -55.25], [-142.8125, -55.75], [-140.9375, -55.75], [-140.9375, -56.25], [-139.6875, -56.25], [-139.6875, -56.75], [-137.8125, -56.75], [-137.8125, -57.25], [-136.5625, -57.25], [-136.5625, -57.75], [-134.0625, -57.75], [-134.0625, -58.25], [-132.8125, -58.25], [-132.8125, -58.75], [-131.5625, -58.75], [-131.5625, -59.25], [-130.3125, -59.25], [-130.3125, -59.75], [-128.4375, -59.75], [-128.4375, -60.25], [-127.8125, -60.25], [-127.8125, -60.75], [-126.5625, -60.75], [-126.5625, -61.25], [-125.9375, -61.25], [-125.9375, -61.75], [-125.3125, -61.75], [-125.3125, -62.25], [-124.6875, -62.25], [-124.6875, -62.75], [-124.0625, -62.75], [-124.0625, -63.75], [-123.4375, -63.75], [-123.4375, -65.25], [-122.8125, -65.25], [-122.8125, -67.75], [-122.1875, -67.75], [-122.1875, -68.25], [-119.6875, -68.25], [-119.6875, -67.75], [-117.1875, -67.75], [-117.1875, -66.75], [-116.5625, -66.75], [-116.5625, -64.25], [-117.1875, -64.25], [-117.1875, -62.75], [-117.8125, -62.75], [-117.8125, -62.25], [-118.4375, -62.25], [-118.4375, -61.25], [-119.0625, -61.25], [-119.0625, -60.25], [-119.6875, -60.25], [-119.6875, -58.25], [-120.3125, -58.25], [-120.3125, -57.75], [-119.6875, -57.75], [-119.6875, -55.75], [-120.3125, -55.75], [-120.3125, -54.25], [-120.9375, -54.25], [-120.9375, -53.25], [-121.5625, -53.25], [-121.5625, -52.25], [-122.1875, -52.25], [-122.1875, -51.75], [-122.8125, -51.75], [-122.8125, -50.75], [-123.4375, -50.75], [-123.4375, -50.25], [-124.0625, -50.25], [-124.0625, -49.25], [-124.6875, -49.25], [-124.6875, -48.25], [-125.3125, -48.25], [-125.3125, -47.75], [-125.9375, -47.75], [-125.9375, -47.25], [-127.8125, -47.25], [-127.8125, -46.75], [-129.0625, -46.75], [-129.0625, -46.25], [-130.9375, -46.25], [-130.9375, -45.75], [-134.0625, -45.75], [-134.0625, -45.25], [-134.6875, -45.25], [-134.6875, -45.75], [-135.3125, -45.75], [-135.3125, -45.25], [-137.8125, -45.25], [-137.8125, -45.75], [-147.8125, -45.75], [-147.8125, -46.25], [-150.9375, -46.25], [-150.9375, -46.75], [-152.8125, -46.75], [-152.8125, -46.25], [-155.9375, 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-
-    # # db.arShapes.insert_one(xx)
\ No newline at end of file
+  
\ No newline at end of file
diff --git a/tests/test.py b/tests/test.py
new file mode 100644
index 0000000..e69de29