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# Copyright 2018 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.
"""This script is used to synthesize generated parts of this library."""
import re
import synthtool as s
from synthtool import gcp
gapic = gcp.GAPICGenerator()
common = gcp.CommonTemplates()
versions = ["v1beta1", "v1"]
# ----------------------------------------------------------------------------
# Generate automl GAPIC layer
# ----------------------------------------------------------------------------
for version in versions:
library = gapic.py_library("automl", version, include_protos=True)
s.move(library / f"google/cloud/automl_{version}")
s.move(library / f"tests/unit/gapic/{version}")
s.move(library / f"docs/gapic/{version}")
s.move(library / f"docs/conf.py")
# Use the highest version library to generate import alias.
s.move(library / "google/cloud/automl.py")
# Add TablesClient and GcsClient to v1beta1
s.replace(
f"google/cloud/automl_v1beta1/__init__.py",
f"from google.cloud.automl_v1beta1.gapic import prediction_service_client",
f"from google.cloud.automl_v1beta1.gapic import prediction_service_client\n"
f"from google.cloud.automl_v1beta1.tables import tables_client\n"
f"from google.cloud.automl_v1beta1.tables import gcs_client"
f"\n\n"
f"class TablesClient(tables_client.TablesClient):"
f" __doc__ = tables_client.TablesClient.__doc__"
f"\n\nclass GcsClient(gcs_client.GcsClient):"
f" __doc__ = gcs_client.GcsClient.__doc__"
)
s.replace(
f"google/cloud/automl_v1beta1/__init__.py",
f"""__all__ = \(
'enums',
'types',
'AutoMlClient',
'PredictionServiceClient',
\)""",
f'__all__ = ("enums", "types", "AutoMlClient", "PredictionServiceClient", "TablesClient", "GcsClient")',
)
# Fixup issues in generated code
s.replace(
"**/gapic/*_client.py",
r"metadata_type=operations_pb2.OperationMetadata",
r"metadata_type=proto_operations_pb2.OperationMetadata",
)
# Fix spacing/'::' issues in docstrings
s.replace(
"google/cloud/automl_v1beta1/gapic/prediction_service_client.py", "^\s+::", ""
)
s.replace(
"google/cloud/automl_v1beta1/gapic/auto_ml_client.py",
"^(\s+)(::)\n\n\s+?([^\s])",
" \g<1>\g<2>\n \g<1>\g<3>",
)
# Remove 'raw-latex' sections with sample JSON Lines files
s.replace(
"google/cloud/**/io_pb2.py",
r"""Sample in-line
JSON Lines file.*?\}`\n""",
"\n",
flags=re.DOTALL,
)
# Remove 'raw-latex' sections with sample JSON Lines files
s.replace(
"google/cloud/**/io_pb2.py",
r"""Sample
in-line JSON Lines.*?(\n\s+-\s+For Text Classification.*\n)""",
"\g<1>",
flags=re.DOTALL,
)
# Replace docstring with no summary line
s.replace(
"google/cloud/**/io_pb2.py",
r"""__doc__ = \"\"\"- For Translation: CSV file ``translation\.csv``, with each """,
r'''__doc__ = """
- For Translation: CSV file ``translation.csv``, with each ''',
flags=re.DOTALL,
)
s.replace("google/cloud/**/io_pb2.py", r":raw-latex:`\\t `", r"\\\\t")
# Remove html bits that can't be rendered correctly
s.replace("google/cloud/automl_v1/**/io_pb2.py",
r""".. raw:: html.+?
\</.+?\>""",
r"", flags=re.DOTALL)
# Remove raw-latex wrapping newline
s.replace("google/cloud/automl_v1/**/io_pb2.py",
r""":raw-latex:`\\n`""",
r"``\\\\n``")
# Make \n visible in JSONL samples
s.replace("google/cloud/**/io_pb2.py",
r"\}\\n",
r"}\\\\n")
# ----------------------------------------------------------------------------
# Add templated files
# ----------------------------------------------------------------------------
templated_files = common.py_library(unit_cov_level=82, cov_level=83)
s.move(templated_files)
# install with extras (pandas, storage)
s.replace(
"noxfile.py",
"""session\.install\(['"]-e['"], ['"]\.['"]\)""",
"""session.install("-e", ".[pandas,storage]")"""
)
s.shell.run(["nox", "-s", "blacken"], hide_output=False)