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https://github.com/GoogleCloudPlatform/vertex-ai-samples.git
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7577c0b1fc
* Migrate gsutil usage to gcloud storage * Manual change * update * Update NotebookProcessors.py * Update NotebookProcessors.py --------- Co-authored-by: gurusai-voleti <gvoleti@google.com>
126 lines
4.3 KiB
Python
126 lines
4.3 KiB
Python
#!/usr/bin/env python
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# Copyright 2021 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from typing import Dict
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import random
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import string
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from nbconvert.preprocessors import Preprocessor
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from . import UpdateNotebookVariables as update_notebook_variables
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class RemoveNoExecuteCells(Preprocessor):
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def preprocess(self, notebook, resources=None):
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executable_cells = []
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for cell in notebook.cells:
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if cell.metadata.get("tags"):
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if "no_execute" in cell.metadata.get("tags"):
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continue
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executable_cells.append(cell)
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notebook.cells = executable_cells
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return notebook, resources
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class UpdateVariablesPreprocessor(Preprocessor):
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def __init__(self, replacement_map: Dict[str, str]):
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self._replacement_map = replacement_map
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@staticmethod
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def update_variables(content: str, replacement_map: Dict[str, str]):
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# replace variables inside .ipynb files
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# looking for this format inside notebooks:
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# VARIABLE_NAME = '[description]'
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for variable_name, variable_value in replacement_map.items():
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content = update_notebook_variables.get_updated_value(
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content=content,
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variable_name=variable_name,
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variable_value=variable_value,
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)
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return content
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def preprocess(self, notebook, resources=None):
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executable_cells = []
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for cell in notebook.cells:
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if cell.cell_type == "code":
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cell.source = self.update_variables(
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content=cell.source,
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replacement_map=self._replacement_map,
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)
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executable_cells.append(cell)
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notebook.cells = executable_cells
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return notebook, resources
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# Generate a uuid of a specifed length
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def generate_uuid(length: int = 8) -> str:
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return "".join(random.choices(string.ascii_lowercase + string.digits, k=length))
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class UniqueStringsPreprocessor(Preprocessor):
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# A preprocessor that replaces strings that end with "-unique" or "_unique" with a uuid.
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@staticmethod
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def update_unique_strings(content: str):
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# Replace strings that end with "-unique" or "_unique" with a uuid.
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unique_id = generate_uuid()
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return (
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content.replace('-unique"', f'-{unique_id}"')
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.replace("-unique'", f'-{unique_id}"')
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.replace('_unique"', f'_{unique_id}"')
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.replace("_unique'", f'_{unique_id}"')
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)
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def preprocess(self, notebook, resources=None):
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executable_cells = []
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for cell in notebook.cells:
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if cell.cell_type == "code":
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cell.source = self.update_unique_strings(
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content=cell.source,
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)
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executable_cells.append(cell)
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notebook.cells = executable_cells
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return notebook, resources
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class VertexAIInstallProprocessor(Preprocessor):
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def __init__(self, vertex_ai_wheel):
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self.vertex_ai_wheel = vertex_ai_wheel
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@staticmethod
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def update_vertex_ai_install(content: str):
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if "google-cloud-aiplatform" not in content:
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return content
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return (
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f"gcloud storage cp {self.vertex_ai_wheel} google-cloud-aiplatform.whl\n" +
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content.replace("google-cloud-aiplatform\n", "google-cloud-aiplatform.whl\n")
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.replace("google-cloud-aiplatform ", "google-cloud-aiplatform.whl ")
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)
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def preprocess(self, notebook, resources=None):
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executable_cells = []
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for cell in notebook.cells:
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if cell.cell_type == "code":
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cell.source = self.update_vertex_ai_install(
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content=cell.source,
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)
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executable_cells.append(cell)
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notebook.cells = executable_cells
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