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@codeflash-ai codeflash-ai bot commented Oct 3, 2025

📄 51% (0.51x) speedup for ApiException.__str__ in src/datadog_api_client/exceptions.py

⏱️ Runtime : 2.97 microseconds 1.96 microsecondss (best of 94 runs)

📝 Explanation and details

The optimization replaces string concatenation with list accumulation and joining, which is significantly more efficient in Python.

Key changes:

  1. Replaced .format() with f-strings: F-strings are faster than .format() calls for string interpolation
  2. Eliminated repeated string concatenation: Instead of using += to build the error message incrementally (which creates new string objects each time), the code now collects parts in a list and joins them once at the end
  3. Single final join operation: ''.join(parts) is much more efficient than multiple string concatenations

Why this is faster:

  • String concatenation with += creates new string objects for each operation since strings are immutable in Python
  • List append operations are O(1) and joining a list is O(n) where n is total character count
  • F-strings have less overhead than .format() method calls
  • The profiler shows the bottleneck was in the string formatting lines (46.4% and 34.9% of time), which are now more efficient

Performance characteristics:
This optimization is particularly effective for scenarios with headers and/or body content (as shown in the test cases), where multiple string concatenations would occur. The 51% speedup is achieved by reducing both formatting overhead and string creation overhead, making exception string representation much more efficient across all test cases.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 30 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 2 Passed
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests and Runtime
import json

# imports
import pytest  # used for our unit tests
from src.datadog_api_client.exceptions import ApiException

# function to test
# Unless explicitly stated otherwise all files in this repository are licensed under the Apache-2.0 License.
# This product includes software developed at Datadog (https://www.datadoghq.com/).
# Copyright 2019-Present Datadog, Inc.

class OpenApiException(Exception):
    pass

class DummyHttpResp:
    """A dummy HTTP response object for simulating http_resp input."""
    def __init__(self, status, reason, data, headers):
        self.status = status
        self.reason = reason
        self.data = data
        self.headers = headers
from src.datadog_api_client.exceptions import ApiException

# unit tests

# ----------------- BASIC TEST CASES -----------------

def test_str_basic_status_reason_only():
    """Test __str__ with only status and reason provided."""
    exc = ApiException(status=404, reason="Not Found")
    result = str(exc)
    # Should not include headers or body

def test_str_basic_with_headers_and_body_json():
    """Test __str__ with http_resp containing JSON body and headers."""
    data = json.dumps({"error": "invalid"})
    headers = {"Content-Type": "application/json", "X-Test": "True"}
    http_resp = DummyHttpResp(400, "Bad Request", data.encode("utf-8"), headers)
    exc = ApiException(http_resp=http_resp)
    result = str(exc)

def test_str_basic_with_headers_and_body_non_json():
    """Test __str__ with http_resp containing non-JSON body (plain text)."""
    data = b"plain error text"
    headers = {"Content-Type": "text/plain"}
    http_resp = DummyHttpResp(500, "Internal Server Error", data, headers)
    exc = ApiException(http_resp=http_resp)
    result = str(exc)

def test_str_basic_with_none_values():
    """Test __str__ with status and reason as None."""
    exc = ApiException()
    result = str(exc)

# ----------------- EDGE TEST CASES -----------------

def test_str_edge_empty_headers_and_body():
    """Test __str__ with empty headers and body."""
    data = b""
    headers = {}
    http_resp = DummyHttpResp(204, "No Content", data, headers)
    exc = ApiException(http_resp=http_resp)
    result = str(exc)


def test_str_edge_body_is_json_array():
    """Test __str__ with body as a JSON array."""
    data = json.dumps([1,2,3])
    headers = {"Content-Type": "application/json"}
    http_resp = DummyHttpResp(200, "OK", data.encode("utf-8"), headers)
    exc = ApiException(http_resp=http_resp)
    result = str(exc)

def test_str_edge_body_is_json_null():
    """Test __str__ with body as JSON null."""
    data = b"null"
    headers = {"Content-Type": "application/json"}
    http_resp = DummyHttpResp(200, "OK", data, headers)
    exc = ApiException(http_resp=http_resp)
    result = str(exc)

def test_str_edge_headers_with_non_string_keys():
    """Test __str__ with headers containing non-string keys."""
    headers = {42: "answer", None: "nil"}
    data = b"test"
    http_resp = DummyHttpResp(123, "Odd", data, headers)
    exc = ApiException(http_resp=http_resp)
    result = str(exc)


def test_str_edge_status_and_reason_are_empty_strings():
    """Test __str__ with status and reason as empty strings."""
    exc = ApiException(status="", reason="")
    result = str(exc)

def test_str_edge_headers_is_none_body_is_none():
    """Test __str__ with headers and body explicitly set to None."""
    exc = ApiException(status=500, reason="Error")
    exc.headers = None
    exc.body = None
    result = str(exc)

# ----------------- LARGE SCALE TEST CASES -----------------

def test_str_large_headers_and_body():
    """Test __str__ with large headers and large JSON body."""
    # Large headers
    headers = {f"X-Header-{i}": f"value-{i}" for i in range(500)}
    # Large JSON body
    body_dict = {f"key_{i}": i for i in range(500)}
    data = json.dumps(body_dict)
    http_resp = DummyHttpResp(413, "Payload Too Large", data.encode("utf-8"), headers)
    exc = ApiException(http_resp=http_resp)
    result = str(exc)
    # Should not crash or truncate

def test_str_large_body_plain_text():
    """Test __str__ with large plain text body."""
    data = b"A" * 999
    headers = {"Content-Type": "text/plain"}
    http_resp = DummyHttpResp(200, "OK", data, headers)
    exc = ApiException(http_resp=http_resp)
    result = str(exc)

def test_str_large_body_json_array():
    """Test __str__ with large JSON array in body."""
    arr = list(range(999))
    data = json.dumps(arr)
    headers = {"Content-Type": "application/json"}
    http_resp = DummyHttpResp(200, "OK", data.encode("utf-8"), headers)
    exc = ApiException(http_resp=http_resp)
    result = str(exc)

def test_str_large_headers_non_string_keys():
    """Test __str__ with large number of headers with non-string keys."""
    headers = {i: f"value-{i}" for i in range(999)}
    data = b"test"
    http_resp = DummyHttpResp(200, "OK", data, headers)
    exc = ApiException(http_resp=http_resp)
    result = str(exc)

def test_str_large_body_json_nested():
    """Test __str__ with large nested JSON body."""
    body_dict = {"outer": {"inner": [i for i in range(500)]}}
    data = json.dumps(body_dict)
    headers = {"Content-Type": "application/json"}
    http_resp = DummyHttpResp(200, "OK", data.encode("utf-8"), headers)
    exc = ApiException(http_resp=http_resp)
    result = str(exc)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
import json

# imports
import pytest  # used for our unit tests
from src.datadog_api_client.exceptions import ApiException

# function to test
# Unless explicitly stated otherwise all files in this repository are licensed under the Apache-2.0 License.
# This product includes software developed at Datadog (https://www.datadoghq.com/).
# Copyright 2019-Present Datadog, Inc.


class OpenApiException(Exception):
    pass

class DummyHttpResp:
    """A dummy HTTP response object to simulate http_resp for testing."""
    def __init__(self, status, reason, data, headers):
        self.status = status
        self.reason = reason
        self.data = data
        self.headers = headers
from src.datadog_api_client.exceptions import ApiException

# unit tests

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

def test_str_basic_status_reason_only():
    """Test __str__ with only status and reason provided."""
    exc = ApiException(status=404, reason="Not Found")
    s = str(exc)

def test_str_basic_with_http_resp_json_body():
    """Test __str__ with http_resp having JSON body."""
    body_dict = {"error": "invalid"}
    data = json.dumps(body_dict).encode('utf-8')
    headers = {'Content-Type': 'application/json'}
    resp = DummyHttpResp(400, "Bad Request", data, headers)
    exc = ApiException(http_resp=resp)
    s = str(exc)

def test_str_basic_with_http_resp_non_json_body():
    """Test __str__ with http_resp having non-JSON body."""
    data = b"plain text error"
    headers = {'X-Test': 'abc'}
    resp = DummyHttpResp(500, "Internal Error", data, headers)
    exc = ApiException(http_resp=resp)
    s = str(exc)

def test_str_basic_with_none_values():
    """Test __str__ with status and reason as None."""
    exc = ApiException()
    s = str(exc)

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

def test_str_edge_empty_headers_and_body():
    """Test __str__ with http_resp having empty headers and empty body."""
    data = b""
    headers = {}
    resp = DummyHttpResp(204, "No Content", data, headers)
    exc = ApiException(http_resp=resp)
    s = str(exc)



def test_str_edge_body_is_empty_json_object():
    """Test __str__ when http_resp.data is '{}' (empty JSON object)."""
    data = b"{}"
    headers = {'X-Test': 'abc'}
    resp = DummyHttpResp(400, "Bad", data, headers)
    exc = ApiException(http_resp=resp)
    s = str(exc)

def test_str_edge_body_is_empty_json_array():
    """Test __str__ when http_resp.data is '[]' (empty JSON array)."""
    data = b"[]"
    headers = {'X-Test': 'abc'}
    resp = DummyHttpResp(400, "Bad", data, headers)
    exc = ApiException(http_resp=resp)
    s = str(exc)

def test_str_edge_body_is_falsey_json_value():
    """Test __str__ when http_resp.data is 'false' (JSON false)."""
    data = b"false"
    headers = {'X-Test': 'abc'}
    resp = DummyHttpResp(400, "Bad", data, headers)
    exc = ApiException(http_resp=resp)
    s = str(exc)

def test_str_edge_body_is_zero_json_value():
    """Test __str__ when http_resp.data is '0' (JSON zero)."""
    data = b"0"
    headers = {'X-Test': 'abc'}
    resp = DummyHttpResp(400, "Bad", data, headers)
    exc = ApiException(http_resp=resp)
    s = str(exc)

def test_str_edge_headers_with_non_string_keys():
    """Test __str__ with headers containing non-string keys."""
    data = b"error"
    headers = {1: "one", (2, 3): "tuple"}
    resp = DummyHttpResp(418, "I'm a teapot", data, headers)
    exc = ApiException(http_resp=resp)
    s = str(exc)

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

def test_str_large_headers():
    """Test __str__ with a large number of headers."""
    headers = {f"X-Header-{i}": f"value-{i}" for i in range(1000)}
    data = b"large headers"
    resp = DummyHttpResp(503, "Service Unavailable", data, headers)
    exc = ApiException(http_resp=resp)
    s = str(exc)
    # Should include all headers in string representation
    for i in (0, 999):
        pass

def test_str_large_json_body():
    """Test __str__ with a large JSON body."""
    body_dict = {"key"+str(i): i for i in range(1000)}
    data = json.dumps(body_dict).encode('utf-8')
    headers = {'Content-Type': 'application/json'}
    resp = DummyHttpResp(413, "Payload Too Large", data, headers)
    exc = ApiException(http_resp=resp)
    s = str(exc)
    # Spot check some keys from the large body
    for i in (0, 999):
        pass

def test_str_large_non_json_body():
    """Test __str__ with a large non-JSON body."""
    data = b"x" * 1000
    headers = {'Content-Type': 'text/plain'}
    resp = DummyHttpResp(502, "Bad Gateway", data, headers)
    exc = ApiException(http_resp=resp)
    s = str(exc)

def test_str_large_status_and_reason():
    """Test __str__ with a very large status and reason strings."""
    status = "9" * 100
    reason = "A" * 100
    exc = ApiException(status=status, reason=reason)
    s = str(exc)

def test_str_large_headers_and_body_combined():
    """Test __str__ with both large headers and large body."""
    headers = {f"Header{i}": f"Value{i}" for i in range(500)}
    body_dict = {f"key{i}": i for i in range(500)}
    data = json.dumps(body_dict).encode('utf-8')
    resp = DummyHttpResp(429, "Too Many Requests", data, headers)
    exc = ApiException(http_resp=resp)
    s = str(exc)
    # Spot check headers and body
    for i in (0, 499):
        pass
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
from src.datadog_api_client.exceptions import ApiException

def test_ApiException___str__():
    ApiException.__str__(ApiException(status=0, reason=0, http_resp=0))
🔎 Concolic Coverage Tests and Runtime
Test File::Test Function Original ⏱️ Optimized ⏱️ Speedup
codeflash_concolic_wt6zpwyc/tmpdrxzgtx_/test_concolic_coverage.py::test_ApiException___str__ 2.97μs 1.96μs 51.2%✅

To edit these changes git checkout codeflash/optimize-ApiException.__str__-mgbd6y7h and push.

Codeflash

The optimization replaces string concatenation with list accumulation and joining, which is significantly more efficient in Python. 

**Key changes:**
1. **Replaced `.format()` with f-strings**: F-strings are faster than `.format()` calls for string interpolation
2. **Eliminated repeated string concatenation**: Instead of using `+=` to build the error message incrementally (which creates new string objects each time), the code now collects parts in a list and joins them once at the end
3. **Single final join operation**: `''.join(parts)` is much more efficient than multiple string concatenations

**Why this is faster:**
- String concatenation with `+=` creates new string objects for each operation since strings are immutable in Python
- List append operations are O(1) and joining a list is O(n) where n is total character count
- F-strings have less overhead than `.format()` method calls
- The profiler shows the bottleneck was in the string formatting lines (46.4% and 34.9% of time), which are now more efficient

**Performance characteristics:**
This optimization is particularly effective for scenarios with headers and/or body content (as shown in the test cases), where multiple string concatenations would occur. The 51% speedup is achieved by reducing both formatting overhead and string creation overhead, making exception string representation much more efficient across all test cases.
@codeflash-ai codeflash-ai bot requested a review from aseembits93 October 3, 2025 21:37
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Oct 3, 2025
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