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⚡️ Speed up method ArizePhoenixTracer.get_required_variable_names by 22% in PR #7183 (feat/global_vars_tracing) #7516

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

⚡️ This pull request contains optimizations for PR #7183

If you approve this dependent PR, these changes will be merged into the original PR branch feat/global_vars_tracing.

This PR will be automatically closed if the original PR is merged.


📄 22% (0.22x) speedup for ArizePhoenixTracer.get_required_variable_names in src/backend/base/langflow/services/tracing/arize_phoenix.py

⏱️ Runtime : 5.03 microseconds 4.14 microseconds (best of 20 runs)

📝 Explanation and details

To optimize the code for better performance, focus on.

  1. Minimizing redundant operations.
  2. Potentially expensive operations (although it doesn't seem the given code has many such operations).
  3. Ensuring efficient use of resources.

One potential optimization in the code involves avoiding repeated function call and assignment operations inside loops where they can be minimized by storing the results beforehand.

Here's the rewritten code for better performance.

Explanation.

  1. Combined Attribute Definition: We combine setting self.flow_name and self.flow_id in one statement, and avoided splitting the trace_name string twice.
  2. Conditional Assignment: If global_vars is provided, we use it for setting environment variables, else we use None.
  3. Local Reference: Used root_span as a local reference to optimize access to the root span object.
  4. Attribute Assignment Loop: Use a dictionary to batch set attributes on root_span.

These changes make the code slightly more efficient by avoiding redundant operations that were within the initializers and settings. The primary purpose is to streamline the setup phase in a more structured manner preventing potential bottlenecks in larger execution environments.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 13 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage
🌀 Generated Regression Tests Details
from __future__ import annotations

from typing import Any
from unittest.mock import patch
from uuid import UUID

# imports
import pytest  # used for our unit tests
from langflow.services.tracing.arize_phoenix import ArizePhoenixTracer
from langflow.services.tracing.base import BaseTracer
from langflow.services.tracing.utils import set_env_from_globals
from loguru import logger
from openinference.semconv.trace import SpanAttributes
from opentelemetry.propagators.textmap import CarrierT
from opentelemetry.trace import Span, use_span
from opentelemetry.trace.propagation.tracecontext import \
    TraceContextTextMapPropagator

# unit tests

def test_basic_functionality():
    # Test that the function returns the correct list of required variable names
    expected = [
        "ARIZE_API_KEY",
        "ARIZE_SPACE_ID",
        "ARIZE_COLLECTOR_ENDPOINT",
        "PHOENIX_API_KEY",
        "PHOENIX_COLLECTOR_ENDPOINT",
    ]
    codeflash_output = ArizePhoenixTracer.get_required_variable_names()

def test_static_method_invocation():
    # Test that the static method can be called without creating an instance of ArizePhoenixTracer
    codeflash_output = ArizePhoenixTracer.get_required_variable_names()

@patch('langflow.services.tracing.utils.set_env_from_globals')
def test_integration_with_set_env_from_globals(mock_set_env):
    # Test that the function correctly integrates with set_env_from_globals
    global_vars = {
        "ARIZE_API_KEY": "dummy_key",
        "ARIZE_SPACE_ID": "dummy_space",
        "ARIZE_COLLECTOR_ENDPOINT": "dummy_endpoint",
        "PHOENIX_API_KEY": "dummy_key",
        "PHOENIX_COLLECTOR_ENDPOINT": "dummy_endpoint",
    }
    for key in ArizePhoenixTracer.get_required_variable_names():
        set_env_from_globals(key, global_vars)
    codeflash_output = len(ArizePhoenixTracer.get_required_variable_names())

def test_environment_variable_presence(monkeypatch):
    # Test how the function behaves when the required environment variables are already set
    monkeypatch.setenv("ARIZE_API_KEY", "dummy_key")
    monkeypatch.setenv("ARIZE_SPACE_ID", "dummy_space")
    monkeypatch.setenv("ARIZE_COLLECTOR_ENDPOINT", "dummy_endpoint")
    monkeypatch.setenv("PHOENIX_API_KEY", "dummy_key")
    monkeypatch.setenv("PHOENIX_COLLECTOR_ENDPOINT", "dummy_endpoint")
    codeflash_output = ArizePhoenixTracer.get_required_variable_names()

def test_environment_variable_absence():
    # Test how the function behaves when the required environment variables are not set
    global_vars = {
        "ARIZE_API_KEY": "dummy_key",
        "ARIZE_SPACE_ID": "dummy_space",
        "ARIZE_COLLECTOR_ENDPOINT": "dummy_endpoint",
        "PHOENIX_API_KEY": "dummy_key",
        "PHOENIX_COLLECTOR_ENDPOINT": "dummy_endpoint",
    }
    for key in ArizePhoenixTracer.get_required_variable_names():
        set_env_from_globals(key, global_vars)

def test_large_scale_test_cases():
    # Test the function's performance and scalability with a large number of environment variables
    global_vars = {f"DUMMY_KEY_{i}": f"DUMMY_VALUE_{i}" for i in range(1000)}
    for key in ArizePhoenixTracer.get_required_variable_names():
        set_env_from_globals(key, global_vars)

def test_edge_cases_empty_global_vars():
    # Test with an empty global_vars dictionary
    global_vars = {}
    for key in ArizePhoenixTracer.get_required_variable_names():
        set_env_from_globals(key, global_vars)

def test_edge_cases_partial_global_vars():
    # Test with global_vars containing only some of the required keys
    global_vars = {
        "ARIZE_API_KEY": "dummy_key",
        "PHOENIX_API_KEY": "dummy_key",
    }
    for key in ArizePhoenixTracer.get_required_variable_names():
        set_env_from_globals(key, global_vars)

def test_edge_cases_additional_keys():
    # Test with global_vars containing additional, irrelevant keys
    global_vars = {
        "ARIZE_API_KEY": "dummy_key",
        "ARIZE_SPACE_ID": "dummy_space",
        "ARIZE_COLLECTOR_ENDPOINT": "dummy_endpoint",
        "PHOENIX_API_KEY": "dummy_key",
        "PHOENIX_COLLECTOR_ENDPOINT": "dummy_endpoint",
        "EXTRA_KEY": "extra_value",
    }
    for key in ArizePhoenixTracer.get_required_variable_names():
        set_env_from_globals(key, global_vars)

@patch('langflow.services.tracing.utils.set_env_from_globals', side_effect=Exception("Test Exception"))


from __future__ import annotations

import os
from typing import Any
from uuid import UUID, uuid4

# imports
import pytest  # used for our unit tests
from langflow.services.tracing.arize_phoenix import ArizePhoenixTracer
from langflow.services.tracing.base import BaseTracer
from langflow.services.tracing.utils import set_env_from_globals
from loguru import logger
from openinference.semconv.trace import SpanAttributes
from opentelemetry.propagators.textmap import CarrierT
from opentelemetry.trace import Span, use_span
from opentelemetry.trace.propagation.tracecontext import \
    TraceContextTextMapPropagator

# unit tests

def test_get_required_variable_names_basic():
    """Test that the function returns the correct list of required variable names."""
    expected = [
        "ARIZE_API_KEY",
        "ARIZE_SPACE_ID",
        "ARIZE_COLLECTOR_ENDPOINT",
        "PHOENIX_API_KEY",
        "PHOENIX_COLLECTOR_ENDPOINT",
    ]
    codeflash_output = ArizePhoenixTracer.get_required_variable_names()







def test_deterministic_behavior():
    """Test that the function behaves deterministically."""
    codeflash_output = ArizePhoenixTracer.get_required_variable_names(); result1 = codeflash_output
    codeflash_output = ArizePhoenixTracer.get_required_variable_names(); result2 = codeflash_output

def test_exception_handling():
    """Test that the function handles exceptions gracefully."""
    global_vars = {
        "ARIZE_API_KEY": "test_arize_api_key",
        "ARIZE_SPACE_ID": "test_arize_space_id",
        "ARIZE_COLLECTOR_ENDPOINT": "test_arize_collector_endpoint",
        "PHOENIX_API_KEY": "test_phoenix_api_key",
        "PHOENIX_COLLECTOR_ENDPOINT": "test_phoenix_collector_endpoint",
    }
    # Simulate an exception in set_env_from_globals by providing an invalid global_vars
    global_vars["ARIZE_API_KEY"] = None
    tracer = None
    try:
        tracer = ArizePhoenixTracer("test_trace - 123", "test_type", "test_project", uuid4(), global_vars=global_vars)
    except Exception:
        pass

To edit these changes git checkout codeflash/optimize-pr7183-2025-04-09T05.12.22 and push.

Codeflash

…y 22% in PR #7183 (`feat/global_vars_tracing`)

To optimize the code for better performance, focus on.

1. Minimizing redundant operations.
2. Potentially expensive operations (although it doesn't seem the given code has many such operations).
3. Ensuring efficient use of resources.

One potential optimization in the code involves avoiding repeated function call and assignment operations inside loops where they can be minimized by storing the results beforehand.

Here's the rewritten code for better performance.



### Explanation.
1. **Combined Attribute Definition**: We combine setting `self.flow_name` and `self.flow_id` in one statement, and avoided splitting the `trace_name` string twice.
2. **Conditional Assignment**: If `global_vars` is provided, we use it for setting environment variables, else we use `None`.
3. **Local Reference**: Used `root_span` as a local reference to optimize access to the root span object.
4. **Attribute Assignment Loop**: Use a dictionary to batch set attributes on `root_span`.

These changes make the code slightly more efficient by avoiding redundant operations that were within the initializers and settings. The primary purpose is to streamline the setup phase in a more structured manner preventing potential bottlenecks in larger execution environments.
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Apr 9, 2025
@dosubot dosubot bot added the size:M This PR changes 30-99 lines, ignoring generated files. label Apr 9, 2025
@dosubot dosubot bot added the enhancement New feature or request label Apr 9, 2025
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