finished closeness measurement

scripts/generate-onions.py

@@ -9,6 +9,11 @@ if not os.path.exists('onionr.sh'):
     os.chdir('../')
 sys.path.append("src/")
 
+try:
+    sys.argv[1]
+except IndexError:
+    sys.exit(1)
+
 tor_process = process.launch_tor_with_config(
     completion_percent=0,
   config = {
@@ -23,13 +28,13 @@ tor_process = process.launch_tor_with_config(
 
 with Controller.from_port('127.0.0.1', 2778) as controller:
     controller.authenticate()
-    for i in range(1024, 2000):
+    for i in range(1024, 1024 + int(sys.argv[1])):
         hs = controller.create_ephemeral_hidden_service(
             {80: i},
             key_type='NEW',
             key_content='ED25519-V3',
             await_publication=False,
             detached=True)
-        print(hs.service_id)
+        print(hs.service_id + ".onion")
 
 tor_process.kill()

src/onionrtypes/__init__.py

@@ -8,6 +8,8 @@ LoopBackIP = NewType('LoopBackIP', str)
 
 DeterministicKeyPassphrase = NewType('DeterministicKeyPassphrase', str)
 
+Ed25519PublicKeyBytes = NewType('Ed25519PublicKeyBytes', bytes)
+
 BlockHash = NewType('BlockHash', str)
 
 OnboardingConfig = NewType('OnboardingConfig', str)

src/streamfill/__init__.py

@@ -1 +1,2 @@
 from .extracted25519 import extract_ed25519_from_onion_address
+from .neighbors import identify_neighbors

src/streamfill/extracted25519.py

@@ -8,7 +8,7 @@ if TYPE_CHECKING:
 
 
 def extract_ed25519_from_onion_address(
-        address: OnionAddressString) -> Ed25519PublicKeyBytes:
+        address: 'OnionAddressString') -> 'Ed25519PublicKeyBytes':
     address = str_to_bytes(address).replace(b'.onion', b'').upper()
     ed25519 = b32decode(address)[:-3]
     return ed25519

src/streamfill/neighbors.py

@@ -1,5 +1,8 @@
 from onionrtypes import OnionAddressString
 from typing import Iterable
+
+from collections import OrderedDict
+
 from .extracted25519 import extract_ed25519_from_onion_address
 
 
@@ -12,11 +15,15 @@ def identify_neighbors(
     address_int = int.from_bytes(address, "big")
 
     def _calc_closeness(y):
-        return abs(address_int - int.from_bytes(y, "big"))
-
-
-    peer_ed_keys = list(map(extract_ed25519_from_onion_address, peers))
-    differences = list(map(_calc_closeness, peer_ed_keys))
-
-    return sorted(differences)[:closest_n]
+        return abs(address_int - int.from_bytes(extract_ed25519_from_onion_address(y), "big"))
 
+    closeness_values = []
+    end_result = []
+    for peer in peers:
+        closeness_values.append((peer, _calc_closeness(peer)))
+    closeness_values.sort()
+    for i, result in enumerate(closeness_values):
+        if i > closest_n:
+            break
+        end_result.append(result[0])
+    return end_result

tests/test_streamfill_neighbors.py

@@ -0,0 +1,66 @@
+#!/usr/bin/env python3
+import sys, os
+import subprocess
+sys.path.append(".")
+sys.path.append("src/")
+import uuid
+import binascii
+from base64 import b32decode
+TEST_DIR = 'testdata/%s-%s' % (uuid.uuid4(), os.path.basename(__file__)) + '/'
+print("Test directory:", TEST_DIR)
+os.environ["ONIONR_HOME"] = TEST_DIR
+import unittest
+
+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')
+
+        test_data = identify_neighbors(main, others, 3)
+
+        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()
+        final = []
+        for i in my_result:
+            final.append(i[0])
+        self.assertTrue(len(test_data) == 3)
+        self.assertListEqual(test_data, final)
+
+    def test_neighbor_closeness_random(self):
+        onions = []
+        p = subprocess.Popen(["scripts/generate-onions.py", '100'],
+                             stdout=subprocess.PIPE,
+                             stderr=subprocess.PIPE)
+        for line in iter(p.stdout.readline, b''):
+            line = line.decode()
+            onions.append(line.strip())
+        p.terminate()
+        main = '7uifxsgidchopmdwmtip6x4ydra6cpf2ov4ghj2lzx5uydyssduh5qid.onion'
+        main_num = int.from_bytes(extract_ed25519_from_onion_address(main), 'big')
+
+        test_data = identify_neighbors(main, onions, 100)
+
+        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()
+        final = []
+        for i in my_result:
+            final.append(i[0])
+        self.assertTrue(len(test_data) == 100)
+        self.assertListEqual(test_data, final)
+
+
+unittest.main()