dspex

# Generated by SnakeBridge v0.14.0 - DO NOT EDIT MANUALLY
# Regenerate with: mix compile
# Library: dspy 3.1.2
# Python module: dspy.utils.magicattr

defmodule Dspy.Utils.Magicattr do
  @moduledoc """
  Compatibility layer for magicattr that works with Python 3.14+

  This module provides a patched version of magicattr's functionality
  that is compatible with Python 3.14's removal of ast.Num and ast.Str.

  Based on magicattr 0.1.6 by Jairus Martin (MIT License)
  https://github.com/frmdstryr/magicattr

  ## Version

  - Requested: 3.1.2
  - Observed at generation: 3.1.2

  ## Runtime Options

  All functions accept a `__runtime__` option for controlling execution behavior:

      Dspy.Utils.Magicattr.some_function(args, __runtime__: [timeout: 120_000])

  ### Supported runtime options

  - `:timeout` - Call timeout in milliseconds (default: 120,000ms / 2 minutes)
  - `:timeout_profile` - Use a named profile (`:default`, `:ml_inference`, `:batch_job`, `:streaming`)
  - `:stream_timeout` - Timeout for streaming operations (default: 1,800,000ms / 30 minutes)
  - `:session_id` - Override the session ID for this call
  - `:pool_name` - Target a specific Snakepit pool (multi-pool setups)
  - `:affinity` - Override session affinity (`:hint`, `:strict_queue`, `:strict_fail_fast`)

  ### Timeout Profiles

  - `:default` - 2 minute timeout for regular calls
  - `:ml_inference` - 10 minute timeout for ML/LLM workloads
  - `:batch_job` - Unlimited timeout for long-running jobs
  - `:streaming` - 2 minute timeout, 30 minute stream_timeout

  ### Example with timeout override

      # For a long-running ML inference call
      Dspy.Utils.Magicattr.predict(data, __runtime__: [timeout_profile: :ml_inference])

      # Or explicit timeout
      Dspy.Utils.Magicattr.predict(data, __runtime__: [timeout: 600_000])

      # Route to a pool and enforce strict affinity
      Dspy.Utils.Magicattr.predict(data, __runtime__: [pool_name: :strict_pool, affinity: :strict_queue])

  See `SnakeBridge.Defaults` for global timeout configuration.

  """

  @doc false
  def __snakebridge_python_name__, do: "dspy.utils.magicattr"
  @doc false
  def __snakebridge_library__, do: "dspy"

  @doc """
  A delattr that supports deletion of a nested lookups on objects,

  dicts, lists, and any combination in between.

  ## Parameters

  - `obj` (term())
  - `attr` (term())

  ## Returns

  - `term()`
  """
  @spec delete(term(), term(), keyword()) :: {:ok, term()} | {:error, Snakepit.Error.t()}
  def delete(obj, attr, opts \\ []) do
    SnakeBridge.Runtime.call(__MODULE__, :delete, [obj, attr], opts)
  end

  @doc """
  A getattr that supports nested lookups on objects, dicts, lists, and

  any combination in between.

  ## Parameters

  - `obj` (term())
  - `attr` (term())
  - `kwargs` (term())

  ## Returns

  - `term()`
  """
  @spec get(term(), term(), keyword()) :: {:ok, term()} | {:error, Snakepit.Error.t()}
  def get(obj, attr, opts \\ []) do
    SnakeBridge.Runtime.call(__MODULE__, :get, [obj, attr], opts)
  end

  @doc """
  Like get but instead of returning the final value it returns the

  object and action that will be done.

  ## Parameters

  - `obj` (term())
  - `attr` (term())

  ## Returns

  - `term()`
  """
  @spec lookup(term(), term(), keyword()) :: {:ok, term()} | {:error, Snakepit.Error.t()}
  def lookup(obj, attr, opts \\ []) do
    SnakeBridge.Runtime.call(__MODULE__, :lookup, [obj, attr], opts)
  end

  @doc """
  A setattr that supports nested lookups on objects, dicts, lists, and

  any combination in between.

  ## Parameters

  - `obj` (term())
  - `attr` (term())
  - `val` (term())

  ## Returns

  - `term()`
  """
  @spec set(term(), term(), term(), keyword()) :: {:ok, term()} | {:error, Snakepit.Error.t()}
  def set(obj, attr, val, opts \\ []) do
    SnakeBridge.Runtime.call(__MODULE__, :set, [obj, attr, val], opts)
  end
end