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@codeflash-ai codeflash-ai bot commented Oct 9, 2025

📄 14% (0.14x) speedup for ScalekitClient.refresh_access_token in scalekit/client.py

⏱️ Runtime : 9.28 milliseconds 8.15 milliseconds (best of 145 runs)

📝 Explanation and details

The optimization eliminates unnecessary JSON serialization/deserialization overhead in the authentication flow by making two key changes:

What was optimized:

  1. Removed redundant JSON encoding/decoding: The CoreClient.authenticate() method now accepts a dict parameter directly instead of a JSON string, eliminating the need for json.dumps() in the caller and json.loads() in the method.

  2. Direct dictionary passing: In refresh_access_token(), the authentication parameters are now passed as a native Python dictionary instead of being serialized to JSON first.

Why this improves performance:

  • Eliminates double serialization: The original code serialized a dictionary to JSON string (json.dumps), then immediately deserialized it back to a dictionary (json.loads) within the same call flow.
  • Reduces CPU overhead: JSON serialization/deserialization is computationally expensive. The line profiler shows json.dumps() consumed 22.6% of total runtime (7.948ms out of 35.164ms).
  • Memory efficiency: Avoids creating intermediate JSON string representations of the data.

Test case performance characteristics:

  • Best for frequent authentication scenarios: The optimization shows consistent 13% speedup across all test cases that call refresh_access_token().
  • Scales well with load: Performance benefits are maintained even in the large-scale test with 500 sequential calls, as the overhead reduction is per-call.
  • Most effective for token-heavy workloads: Applications that frequently refresh tokens (like long-running services) will see the most benefit from this optimization.

The requests.post() call behavior remains identical since it naturally handles dictionary data by form-encoding it, preserving the exact same HTTP request format.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 1119 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests and Runtime
import json

# imports
import pytest  # used for our unit tests
from scalekit.client import ScalekitClient


# function to test (minimal stub for testing)
def refresh_access_token(refresh_token: str):
    """
    Simulates refreshing an access token using a refresh token.
    Returns a dict with new access and refresh tokens.
    """
    # Simulate basic validation
    if not isinstance(refresh_token, str):
        raise TypeError("refresh_token must be a string")
    if refresh_token == "":
        raise ValueError("refresh_token cannot be empty")
    if len(refresh_token) > 512:
        raise ValueError("refresh_token too long")
    if refresh_token.startswith("invalid"):
        raise Exception("Invalid refresh token")
    if refresh_token.startswith("expired"):
        raise Exception("Expired refresh token")
    if refresh_token.startswith("malformed"):
        raise Exception("Malformed refresh token")
    # Simulate large scale: generate tokens based on input
    access_token = "access_" + refresh_token[-32:] if len(refresh_token) >= 32 else "access_" + refresh_token
    new_refresh_token = "refresh_" + refresh_token[-32:] if len(refresh_token) >= 32 else "refresh_" + refresh_token
    return {
        "access_token": access_token,
        "refresh_token": new_refresh_token
    }


# ------------------- UNIT TESTS -------------------

# 1. Basic Test Cases








def test_refresh_access_token_invalid_prefix():
    """Test with a refresh token that starts with 'invalid'."""
    token = "invalid_token"
    with pytest.raises(Exception) as excinfo:
        refresh_access_token(token)

def test_refresh_access_token_expired_prefix():
    """Test with a refresh token that starts with 'expired'."""
    token = "expired_token"
    with pytest.raises(Exception) as excinfo:
        refresh_access_token(token)

def test_refresh_access_token_malformed_prefix():
    """Test with a refresh token that starts with 'malformed'."""
    token = "malformed_token"
    with pytest.raises(Exception) as excinfo:
        refresh_access_token(token)









#------------------------------------------------
import json

# imports
import pytest  # used for our unit tests
from scalekit.client import ScalekitClient

# function to test
# (Assume all the code above is present, including ScalekitClient and refresh_access_token.)

# --- Test Suite for ScalekitClient.refresh_access_token ---

# Helper class to simulate a CoreClient with controlled authenticate behavior
class DummyCoreClient:
    def __init__(self, expected_response=None, raise_exception=None, client_id="cid", client_secret="csecret"):
        self.expected_response = expected_response
        self.raise_exception = raise_exception
        self.client_id = client_id
        self.client_secret = client_secret

    def authenticate(self, data):
        # If asked to simulate an exception, raise it
        if self.raise_exception:
            raise self.raise_exception
        # Otherwise, simulate a requests.Response-like object
        class DummyResponse:
            def __init__(self, content):
                self.content = content
        # If expected_response is a dict, encode it as JSON bytes
        if isinstance(self.expected_response, dict):
            content = json.dumps(self.expected_response).encode('utf-8')
        else:
            content = self.expected_response
        return DummyResponse(content)

# Helper function to create a ScalekitClient with a dummy core client
def make_client(core_client):
    client = ScalekitClient.__new__(ScalekitClient)
    client.core_client = core_client
    return client

# -------------------- Basic Test Cases --------------------

def test_refresh_access_token_success_basic():
    """
    Test normal case: valid refresh token returns valid access and refresh tokens.
    """
    expected = {"access_token": "new_access", "refresh_token": "new_refresh"}
    client = make_client(DummyCoreClient(expected_response=expected))
    codeflash_output = client.refresh_access_token("valid_refresh_token"); result = codeflash_output

def test_refresh_access_token_different_tokens():
    """
    Test with different token values to ensure function doesn't hardcode values.
    """
    expected = {"access_token": "abc123", "refresh_token": "xyz789"}
    client = make_client(DummyCoreClient(expected_response=expected))
    codeflash_output = client.refresh_access_token("any_refresh_token"); result = codeflash_output

def test_refresh_access_token_token_values_are_strings():
    """
    Ensure returned tokens are strings.
    """
    expected = {"access_token": "tokenA", "refresh_token": "tokenB"}
    client = make_client(DummyCoreClient(expected_response=expected))
    codeflash_output = client.refresh_access_token("refresh_token"); result = codeflash_output

# -------------------- Edge Test Cases --------------------

def test_refresh_access_token_missing_access_token():
    """
    Test missing access_token in response: should raise KeyError.
    """
    expected = {"refresh_token": "ref"}
    client = make_client(DummyCoreClient(expected_response=expected))
    with pytest.raises(KeyError):
        client.refresh_access_token("refresh_token")

def test_refresh_access_token_missing_refresh_token():
    """
    Test missing refresh_token in response: should raise KeyError.
    """
    expected = {"access_token": "acc"}
    client = make_client(DummyCoreClient(expected_response=expected))
    with pytest.raises(KeyError):
        client.refresh_access_token("refresh_token")

def test_refresh_access_token_malformed_json_response():
    """
    Test malformed JSON in response: should raise JSONDecodeError.
    """
    client = make_client(DummyCoreClient(expected_response=b"{not valid json"))
    with pytest.raises(json.JSONDecodeError):
        client.refresh_access_token("refresh_token")

def test_refresh_access_token_authenticate_raises_exception():
    """
    Test when core_client.authenticate raises an exception: should propagate.
    """
    class DummyException(Exception):
        pass
    client = make_client(DummyCoreClient(raise_exception=DummyException("fail")))
    with pytest.raises(DummyException):
        client.refresh_access_token("refresh_token")

def test_refresh_access_token_empty_response():
    """
    Test empty response: should raise JSONDecodeError.
    """
    client = make_client(DummyCoreClient(expected_response=b""))
    with pytest.raises(json.JSONDecodeError):
        client.refresh_access_token("refresh_token")

def test_refresh_access_token_non_string_token_values():
    """
    Test response with non-string token values (e.g., int): should return as-is.
    """
    expected = {"access_token": 123, "refresh_token": 456}
    client = make_client(DummyCoreClient(expected_response=expected))
    codeflash_output = client.refresh_access_token("refresh_token"); result = codeflash_output

def test_refresh_access_token_extra_fields_in_response():
    """
    Test response with extra fields: should ignore extras.
    """
    expected = {"access_token": "tok", "refresh_token": "ref", "expires_in": 3600, "scope": "all"}
    client = make_client(DummyCoreClient(expected_response=expected))
    codeflash_output = client.refresh_access_token("refresh_token"); result = codeflash_output

def test_refresh_access_token_refresh_token_is_empty_string():
    """
    Test with empty string as refresh token: should pass to core_client.
    """
    expected = {"access_token": "tok", "refresh_token": "ref"}
    client = make_client(DummyCoreClient(expected_response=expected))
    codeflash_output = client.refresh_access_token(""); result = codeflash_output

def test_refresh_access_token_refresh_token_is_none():
    """
    Test with None as refresh token: should pass to core_client.
    """
    expected = {"access_token": "tok", "refresh_token": "ref"}
    client = make_client(DummyCoreClient(expected_response=expected))
    codeflash_output = client.refresh_access_token(None); result = codeflash_output

def test_refresh_access_token_refresh_token_is_long_string():
    """
    Test with a very long refresh token string.
    """
    long_token = "x" * 1024
    expected = {"access_token": "tok", "refresh_token": "ref"}
    client = make_client(DummyCoreClient(expected_response=expected))
    codeflash_output = client.refresh_access_token(long_token); result = codeflash_output

def test_refresh_access_token_unicode_refresh_token():
    """
    Test with unicode characters in refresh token.
    """
    unicode_token = "токен💡"
    expected = {"access_token": "tok", "refresh_token": "ref"}
    client = make_client(DummyCoreClient(expected_response=expected))
    codeflash_output = client.refresh_access_token(unicode_token); result = codeflash_output

# -------------------- Large Scale Test Cases --------------------

def test_refresh_access_token_large_token_values():
    """
    Test with very large access and refresh token values.
    """
    large_access = "A" * 1000
    large_refresh = "R" * 1000
    expected = {"access_token": large_access, "refresh_token": large_refresh}
    client = make_client(DummyCoreClient(expected_response=expected))
    codeflash_output = client.refresh_access_token("refresh_token"); result = codeflash_output

def test_refresh_access_token_many_calls():
    """
    Test scalability: call refresh_access_token 500 times with different tokens.
    """
    for i in range(500):
        expected = {"access_token": f"acc{i}", "refresh_token": f"ref{i}"}
        client = make_client(DummyCoreClient(expected_response=expected))
        codeflash_output = client.refresh_access_token(f"refresh_{i}"); result = codeflash_output

def test_refresh_access_token_many_unique_token_values():
    """
    Test scalability: simulate responses with 500 unique token values.
    """
    tokens = [("acc" + str(i), "ref" + str(i)) for i in range(500)]
    for acc, ref in tokens:
        expected = {"access_token": acc, "refresh_token": ref}
        client = make_client(DummyCoreClient(expected_response=expected))
        codeflash_output = client.refresh_access_token(acc + ref); result = codeflash_output

def test_refresh_access_token_large_json_payload():
    """
    Test with a large number of extra fields in the response.
    """
    expected = {"access_token": "tok", "refresh_token": "ref"}
    # Add 1000 extra fields
    for i in range(1000):
        expected[f"extra_{i}"] = f"value_{i}"
    client = make_client(DummyCoreClient(expected_response=expected))
    codeflash_output = client.refresh_access_token("refresh_token"); result = codeflash_output

def test_refresh_access_token_performance_under_load():
    """
    Test performance: ensure function does not slow down with large token strings.
    """
    import time
    large_access = "A" * 1000
    large_refresh = "R" * 1000
    expected = {"access_token": large_access, "refresh_token": large_refresh}
    client = make_client(DummyCoreClient(expected_response=expected))
    start = time.time()
    for _ in range(100):
        codeflash_output = client.refresh_access_token("refresh_token"); result = codeflash_output
    elapsed = time.time() - start
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
from scalekit.client import ScalekitClient

To edit these changes git checkout codeflash/optimize-ScalekitClient.refresh_access_token-mgk0hk6i and push.

Codeflash

The optimization eliminates unnecessary JSON serialization/deserialization overhead in the authentication flow by making two key changes:

**What was optimized:**
1. **Removed redundant JSON encoding/decoding:** The `CoreClient.authenticate()` method now accepts a `dict` parameter directly instead of a JSON string, eliminating the need for `json.dumps()` in the caller and `json.loads()` in the method.

2. **Direct dictionary passing:** In `refresh_access_token()`, the authentication parameters are now passed as a native Python dictionary instead of being serialized to JSON first.

**Why this improves performance:**
- **Eliminates double serialization:** The original code serialized a dictionary to JSON string (`json.dumps`), then immediately deserialized it back to a dictionary (`json.loads`) within the same call flow.
- **Reduces CPU overhead:** JSON serialization/deserialization is computationally expensive. The line profiler shows `json.dumps()` consumed 22.6% of total runtime (7.948ms out of 35.164ms).
- **Memory efficiency:** Avoids creating intermediate JSON string representations of the data.

**Test case performance characteristics:**
- **Best for frequent authentication scenarios:** The optimization shows consistent 13% speedup across all test cases that call `refresh_access_token()`.
- **Scales well with load:** Performance benefits are maintained even in the large-scale test with 500 sequential calls, as the overhead reduction is per-call.
- **Most effective for token-heavy workloads:** Applications that frequently refresh tokens (like long-running services) will see the most benefit from this optimization.

The `requests.post()` call behavior remains identical since it naturally handles dictionary data by form-encoding it, preserving the exact same HTTP request format.
@codeflash-ai codeflash-ai bot requested a review from hrishikesh-p October 9, 2025 22:51
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Oct 9, 2025
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