google/generativeai/notebook/compile_cmd.py (37 lines of code) (raw):
# -*- coding: utf-8 -*-
# Copyright 2023 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""The compile command."""
from __future__ import annotations
from typing import Sequence
from google.generativeai.notebook import command
from google.generativeai.notebook import command_utils
from google.generativeai.notebook import ipython_env
from google.generativeai.notebook import model_registry
from google.generativeai.notebook import parsed_args_lib
from google.generativeai.notebook import post_process_utils
from google.generativeai.notebook import py_utils
class CompileCommand(command.Command):
"""Implementation of the "compile" command."""
def __init__(
self,
models: model_registry.ModelRegistry,
env: ipython_env.IPythonEnv | None = None,
):
"""Constructor.
Args:
models: ModelRegistry instance.
env: The IPythonEnv environment.
"""
super().__init__()
self._models = models
self._ipython_env = env
def execute(
self,
parsed_args: parsed_args_lib.ParsedArgs,
cell_content: str,
post_processing_fns: Sequence[post_process_utils.ParsedPostProcessExpr],
) -> str:
llm_fn = command_utils.create_llm_function(
models=self._models,
env=self._ipython_env,
parsed_args=parsed_args,
cell_content=cell_content,
post_processing_fns=post_processing_fns,
)
py_utils.set_py_var(parsed_args.compile_save_name, llm_fn)
return "Saved function to Python variable: {}".format(parsed_args.compile_save_name)
def parse_post_processing_tokens(
self, tokens: Sequence[Sequence[str]]
) -> Sequence[post_process_utils.ParsedPostProcessExpr]:
return post_process_utils.resolve_post_processing_tokens(tokens)