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@codeflash-ai codeflash-ai bot commented Nov 11, 2025

📄 26% (0.26x) speedup for digifinex.sign in python/ccxt/digifinex.py

⏱️ Runtime : 2.69 milliseconds 2.13 milliseconds (best of 94 runs)

📝 Explanation and details

The optimized code achieves a 26% speedup through several targeted optimizations to frequently-called utility methods in the CCXT exchange library:

Key Optimizations:

  1. keysort Method: Eliminated OrderedDict construction overhead by returning a sorted list of tuples directly. This removes unnecessary dictionary creation since the caller (urlencode) only needs sorted key-value pairs for iteration.

  2. implode_params Method: Replaced inefficient string replacement loop with a single regex substitution using re.sub() with a callback function. This dramatically reduces the overhead from ~2.4ms to ~0.34ms (86% improvement) by avoiding multiple string operations and dictionary lookups.

  3. urlencode Method: Added early exit for empty parameters and conditional dictionary copying. Only creates a new dictionary when boolean values are present (which need conversion to 'true'/'false' strings), avoiding unnecessary copies in the common case.

  4. omit Method: Consolidated key removal operations using set-based logic instead of nested loops with individual deletions. Uses result.pop(key, None) for safer removal and eliminates redundant conditionals.

Performance Impact: The line profiler shows the most dramatic improvement in implode_params (from 2.4ms to 0.34ms total time), which is called frequently during API request signing. The keysort optimization saves ~115μs per call by avoiding OrderedDict construction.

Test Results: Large-scale tests with 1000 parameters show the most significant gains (30.5% faster), indicating these optimizations scale well with parameter count - critical for exchanges handling complex API requests with many query parameters.

These optimizations are particularly valuable for high-frequency trading scenarios where API request latency directly impacts performance, as evidenced by the substantial improvements in large parameter test cases.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 40 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests and Runtime

import hashlib
import json

imports

import pytest
from ccxt.digifinex import digifinex

---------- Unit Tests Start Here ----------

@pytest.fixture
def digifinex_instance():
# Provide a fresh digifinex instance for each test
return digifinex()

1. Basic Test Cases

def test_public_spot_get_no_params(digifinex_instance):
# Test public GET request, spot endpoint, no params
codeflash_output = digifinex_instance.sign("ticker", ["public", "spot"], "GET", {}); result = codeflash_output # 11.6μs -> 12.7μs (8.66% slower)

def test_public_spot_get_with_params(digifinex_instance):
# Test public GET request, spot endpoint, with params
codeflash_output = digifinex_instance.sign("ticker", ["public", "spot"], "GET", {"symbol": "BTC_USDT"}); result = codeflash_output # 16.8μs -> 17.4μs (3.14% slower)

def test_public_swap_get_with_params(digifinex_instance):
# Test public GET request, swap endpoint, with params
codeflash_output = digifinex_instance.sign("order", ["public", "swap"], "GET", {"symbol": "BTC_USDT", "id": "789"}); result = codeflash_output # 19.9μs -> 19.8μs (0.779% faster)
expected_urlencoded = "id=789&symbol=BTC_USDT"
expected_url = f"https://api.digifinex.com/swap/v2/order?id=789&symbol=BTC_USDT"

def test_path_param_replacement(digifinex_instance):
# Test path param replacement
codeflash_output = digifinex_instance.sign("order/{id}", ["public", "spot"], "GET", {"id": "999", "symbol": "BTC_USDT"}); result = codeflash_output # 19.4μs -> 21.4μs (9.19% slower)

2. Edge Test Cases

def test_empty_params(digifinex_instance):
# Test with empty params dict
codeflash_output = digifinex_instance.sign("ticker", ["public", "spot"], "GET", {}); result = codeflash_output # 11.0μs -> 12.3μs (10.8% slower)

def test_params_with_special_characters(digifinex_instance):
# Test params with special characters
codeflash_output = digifinex_instance.sign("ticker", ["public", "spot"], "GET", {"symbol": "BTC/USDT", "foo": "bar baz"}); result = codeflash_output # 22.3μs -> 22.1μs (0.899% faster)

def test_multiple_path_params(digifinex_instance):
# Test multiple path params
codeflash_output = digifinex_instance.sign("order/{id}/{symbol}", ["public", "spot"], "GET", {"id": "888", "symbol": "BTC_USDT", "extra": "test"}); result = codeflash_output # 20.1μs -> 21.6μs (6.94% slower)

def test_params_with_bool_and_int(digifinex_instance):
# Test params with boolean and integer values
codeflash_output = digifinex_instance.sign("ticker", ["public", "spot"], "GET", {"active": True, "limit": 10}); result = codeflash_output # 20.3μs -> 20.6μs (1.41% slower)

def test_params_with_unicode_characters(digifinex_instance):
# Test params with unicode characters
codeflash_output = digifinex_instance.sign("ticker", ["public", "spot"], "GET", {"symbol": "BTC_测试"}); result = codeflash_output # 19.4μs -> 20.3μs (4.64% slower)

def test_headers_are_not_shared_between_calls(digifinex_instance):
# Ensure headers are not mutated between calls
codeflash_output = digifinex_instance.sign("ticker", ["public", "spot"], "GET", {}); r1 = codeflash_output # 11.1μs -> 12.1μs (8.26% slower)
codeflash_output = digifinex_instance.sign("order", ["private", "spot"], "GET", {"symbol": "BTC_USDT"}); r2 = codeflash_output # 29.5μs -> 29.0μs (1.62% faster)

3. Large Scale Test Cases

def test_large_number_of_params_public_spot(digifinex_instance):
# Test with a large number of params (up to 1000)
params = {f"k{i}": f"v{i}" for i in range(1000)}
codeflash_output = digifinex_instance.sign("ticker", ["public", "spot"], "GET", params); result = codeflash_output # 1.24ms -> 949μs (30.5% faster)
# All params should be present in the url
for i in range(1000):
pass

def test_large_path_param_replacement(digifinex_instance):
# Path with many param replacements
path = "order/" + "/".join([f"{{id{i}}}" for i in range(10)])
params = {f"id{i}": str(i) for i in range(10)}
codeflash_output = digifinex_instance.sign(path, ["public", "spot"], "GET", params); result = codeflash_output # 20.3μs -> 22.1μs (8.11% slower)
# Path replaced correctly
expected_path = "order/" + "/".join([str(i) for i in range(10)])

def test_performance_large_scale(digifinex_instance):
# Performance test: ensure sign completes within reasonable time for 1000 params
import time
params = {f"k{i}": f"v{i}" for i in range(1000)}
start = time.time()
codeflash_output = digifinex_instance.sign("ticker", ["public", "spot"], "GET", params); result = codeflash_output # 1.22ms -> 945μs (29.5% faster)
end = time.time()

codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

#------------------------------------------------
import hashlib
import json
import time

imports

import pytest
from ccxt.digifinex import digifinex

--- Minimal digifinex.sign implementation and helpers for testability ---

class DummyExchange:
# Minimal stub mimicking the digifinex class and Exchange base
def init(self):
self.apiKey = "test-api-key"
self.secret = "test-secret"
self.urls = {
"api": {
"rest": "https://api.digifinex.com"
}
}
# for deterministic tests
self._fixed_nonce = 1234567890
self._fixed_ms = 1650000000000

def encode(self, s):
    if isinstance(s, bytes):
        return s
    return s.encode("utf-8")

def hmac(self, request, secret, algorithm=hashlib.sha256, digest="hex"):
    h = hashlib.new(algorithm().name, request + secret)
    binary = h.digest()
    if digest == "hex":
        return binary.hex()
    elif digest == "base64":
        import base64
        return base64.b64encode(binary).decode()
    return binary

def milliseconds(self):
    return self._fixed_ms

def nonce(self):
    return self._fixed_nonce

def extract_params(self, path):
    # returns list of {param} in path
    import re
    return re.findall(r"{([\w-]+)}", path)

def implode_params(self, path, params):
    # replaces {param} in path with value from params
    for k in self.extract_params(path):
        path = path.replace("{" + k + "}", str(params.get(k, "")))
    return path

def omit(self, d, keys):
    # returns dict omitting the given keys
    return {k: v for k, v in d.items() if k not in keys}

def keysort(self, d):
    # returns dict sorted by key
    return dict(sorted(d.items()))

def urlencode(self, params={}, doseq=False, sort=False):
    from urllib.parse import quote, urlencode
    return urlencode(params, doseq=doseq, quote_via=quote)

# The digifinex.sign method, adapted for deterministic testing
def sign(self, path, api=[], method='GET', params={}, headers=None, body=None):
    signed = api[0] == 'private' if api else False
    endpoint = api[1] if len(api) > 1 else None
    pathPart = '/v3' if (endpoint == 'spot') else '/swap/v2'
    request = '/' + self.implode_params(path, params)
    payload = pathPart + request
    url = self.urls['api']['rest'] + payload
    query = self.omit(params, self.extract_params(path))
    urlencoded = None
    if signed and (pathPart == '/swap/v2') and (method == 'POST'):
        urlencoded = json.dumps(params)
    else:
        urlencoded = self.urlencode(self.keysort(query))
    if signed:
        auth = None
        nonce = None
        if pathPart == '/swap/v2':
            nonce = str(self.milliseconds())
            auth = nonce + method + payload
            if method == 'GET':
                if urlencoded:
                    auth += '?' + urlencoded
            elif method == 'POST':
                auth += urlencoded
        else:
            nonce = str(self.nonce())
            auth = urlencoded
        signature = self.hmac(self.encode(auth), self.encode(self.secret), hashlib.sha256)
        if method == 'GET':
            if urlencoded:
                url += '?' + urlencoded
        elif method == 'POST':
            headers = {
                'Content-Type': 'application/x-www-form-urlencoded',
            }
            if urlencoded:
                body = urlencoded
        headers = {
            'ACCESS-KEY': self.apiKey,
            'ACCESS-SIGN': signature,
            'ACCESS-TIMESTAMP': nonce,
        }
    else:
        if urlencoded:
            url += '?' + urlencoded
    return {'url': url, 'method': method, 'body': body, 'headers': headers}

from ccxt.digifinex import digifinex

1. BASIC TEST CASES

To edit these changes git checkout codeflash/optimize-digifinex.sign-mhuf6fbe and push.

Codeflash

The optimized code achieves a **26% speedup** through several targeted optimizations to frequently-called utility methods in the CCXT exchange library:

**Key Optimizations:**

1. **`keysort` Method**: Eliminated `OrderedDict` construction overhead by returning a sorted list of tuples directly. This removes unnecessary dictionary creation since the caller (`urlencode`) only needs sorted key-value pairs for iteration.

2. **`implode_params` Method**: Replaced inefficient string replacement loop with a single regex substitution using `re.sub()` with a callback function. This dramatically reduces the overhead from ~2.4ms to ~0.34ms (86% improvement) by avoiding multiple string operations and dictionary lookups.

3. **`urlencode` Method**: Added early exit for empty parameters and conditional dictionary copying. Only creates a new dictionary when boolean values are present (which need conversion to 'true'/'false' strings), avoiding unnecessary copies in the common case.

4. **`omit` Method**: Consolidated key removal operations using set-based logic instead of nested loops with individual deletions. Uses `result.pop(key, None)` for safer removal and eliminates redundant conditionals.

**Performance Impact**: The line profiler shows the most dramatic improvement in `implode_params` (from 2.4ms to 0.34ms total time), which is called frequently during API request signing. The `keysort` optimization saves ~115μs per call by avoiding `OrderedDict` construction.

**Test Results**: Large-scale tests with 1000 parameters show the most significant gains (30.5% faster), indicating these optimizations scale well with parameter count - critical for exchanges handling complex API requests with many query parameters.

These optimizations are particularly valuable for high-frequency trading scenarios where API request latency directly impacts performance, as evidenced by the substantial improvements in large parameter test cases.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 November 11, 2025 10:19
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Nov 11, 2025
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