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Avoid hardcoded configuration values

langflow-ai/langflow
Based on 4 comments
Python

Replace hardcoded configuration values with configurable parameters to improve flexibility and maintainability. Hardcoded timeouts, domain strings, validation constraints, and operational parameters should be exposed as advanced inputs, environment variables, or settings.

Configurations Python

Reviewer Prompt

Replace hardcoded configuration values with configurable parameters to improve flexibility and maintainability. Hardcoded timeouts, domain strings, validation constraints, and operational parameters should be exposed as advanced inputs, environment variables, or settings.

Examples of improvements:

  • Expose timeout values as configurable inputs: timeout_seconds parameter instead of hardcoded timeout=600
  • Make domain strings configurable: domain input instead of hardcoded "audio.transcription"
  • Allow environment-specific validation: configurable URL scheme validation that can accept http:// for local development while defaulting to https:// for production
  • Convert magic numbers to named constants with configuration options: MAX_SESSIONS_PER_SERVER, SESSION_IDLE_TIMEOUT that can be overridden via settings
# Instead of hardcoded values:
response = client.predictions.wait(response.id, timeout=600)
domain = "audio.transcription"

# Use configurable parameters:
IntInput(
    name="timeout_seconds",
    display_name="Timeout (seconds)",
    value=600,
    advanced=True,
    info="Maximum time to wait for processing completion"
)

DropdownInput(
    name="domain",
    display_name="Processing Domain",
    options=["audio.transcription", "audio.diarization"],
    value="audio.transcription",
    advanced=True
)

This approach enables users to customize behavior for their specific use cases, supports different environments (development vs production), and makes the code more maintainable by centralizing configuration management.

4
Comments Analyzed
Python
Primary Language
Configurations
Category

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