fixed closeness calculation

scripts/closeness-calculator.py

@@ -0,0 +1,21 @@
+import sys
+import os
+import subprocess
+import base64
+if not os.path.exists('onionr.sh'):
+    os.chdir('../')
+sys.path.append("src/")
+from streamfill import identify_neighbors
+
+onions = []
+p = subprocess.Popen(["scripts/generate-onions.py", '5'],
+                        stdout=subprocess.PIPE,
+                        stderr=subprocess.PIPE)
+for line in iter(p.stdout.readline, b''):
+    line = line.decode()
+    onions.append(line.strip())
+
+
+for onion in onions:
+    print(onion, identify_neighbors(onion, onions, 3))
+

src/streamfill/neighbors.py

@@ -10,20 +10,31 @@ def identify_neighbors(
         address: OnionAddressString,
         peers: Iterable[OnionAddressString],
         closest_n: int) -> OnionAddressString:
+    """Identify node addresses that are closest
+    in value to a given node address"""
+    peers_to_test = list(peers)
+
+    try:
+        peers_to_test.remove(address)
+    except ValueError:
+        pass
 
     address = extract_ed25519_from_onion_address(address)
     address_int = int.from_bytes(address, "big")
-
-    def _calc_closeness(y):
-        return abs(address_int - int.from_bytes(extract_ed25519_from_onion_address(y), "big"))
-
     closeness_values = []
     end_result = []
-    for peer in peers:
+
+    def _calc_closeness(y):
+        ret = abs(
+            address_int -
+            int.from_bytes(extract_ed25519_from_onion_address(y), "big"))
+        return ret
+
+    for peer in peers_to_test:
         closeness_values.append((peer, _calc_closeness(peer)))
-    closeness_values.sort()
+    closeness_values.sort(key=lambda p: p[1])
     for i, result in enumerate(closeness_values):
+        end_result.append(result[0])
         if i > closest_n:
             break
-        end_result.append(result[0])
     return end_result

tests/test_streamfill_neighbors.py

@@ -15,13 +15,6 @@ from streamfill import identify_neighbors, extract_ed25519_from_onion_address
 
 class TestStreamfillNeighbors(unittest.TestCase):
     def test_neighbor_closeness_consistent(self):
-        onions = []
-        # p = subprocess.Popen(["scripts/generate-onions.py", '5'],
-        #                      stdout=subprocess.PIPE,
-        #                      stderr=subprocess.PIPE)
-        # for line in iter(p.stdout.readline, b''):
-        #     line = line.decode()
-        #     onions.append(line.strip())
         main = '7uifxsgidchopmdwmtip6x4ydra6cpf2ov4ghj2lzx5uydyssduh5qid.onion'
         others = ['bxxajpimlonmbxb5jzjre3go3dvfobqyayqwpksd6zpjz4s4mknstwyd.onion', '2zofaifd6s3flwbv5wl4vtgnesbprc4f2ptljl4a47dfkvrbmw3e5iqd.onion', '6umslj7jtzu27n4jgf3byn55ztz5mkoqocx32zwjya6rbnxqjpyysyyd.onion']
         main_num = int.from_bytes(extract_ed25519_from_onion_address(main), 'big')
@@ -31,12 +24,13 @@ class TestStreamfillNeighbors(unittest.TestCase):
         my_result = []
         for i in others:
             my_result.append((i, abs(main_num - int.from_bytes(extract_ed25519_from_onion_address(i), 'big'))))
-        my_result.sort()
+        my_result.sort(key=lambda p: p[1])
+
         final = []
         for i in my_result:
             final.append(i[0])
-        self.assertTrue(len(test_data) == 3)
+        self.assertListEqual(final, test_data)
-        self.assertListEqual(test_data, final)
+
 
     def test_neighbor_closeness_random(self):
         onions = []
@@ -55,12 +49,12 @@ class TestStreamfillNeighbors(unittest.TestCase):
         my_result = []
         for i in onions:
             my_result.append((i, abs(main_num - int.from_bytes(extract_ed25519_from_onion_address(i), 'big'))))
-        my_result.sort()
+        my_result.sort(key=lambda p: p[1])
+
         final = []
         for i in my_result:
             final.append(i[0])
-        self.assertTrue(len(test_data) == 100)
+        self.assertListEqual(final, test_data)
-        self.assertListEqual(test_data, final)
 
 
 unittest.main()