# 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 synthtool as s
import synthtool.gcp as gcp
import logging

logging.basicConfig(level=logging.DEBUG)

gapic = gcp.GAPICGenerator()
common = gcp.CommonTemplates()

# ----------------------------------------------------------------------------
# Generate dlp GAPIC layer
# ----------------------------------------------------------------------------
library = gapic.py_library(
    "dlp",
    "v2",
    config_path="/google/privacy/dlp/artman_dlp_v2.yaml",
    include_protos=True,
)

excludes = ["README.rst", "nox.py", "setup.py", "docs/index.rst"]
s.move(library, excludes=excludes)

# Fix namespace
s.replace("google/**/*.py", "google\.cloud\.privacy\.dlp_v2", "google.cloud.dlp_v2")

# Add missing utf-8 marker
s.replace(
    "google/cloud/dlp_v2/proto/dlp_pb2.py",
    "# Generated by the protocol buffer compiler.  DO NOT EDIT!",
    "# -*- coding: utf-8 -*-\n\g<0>",
)

# Fix raw-latex bits in storage_pb2.py
s.replace(
    "google/cloud/dlp_v2/proto/storage_pb2.py",
    "number regex.*\n(\s+)latex:.*\n",
    'number regex "(\\d\{3\}) \\d\{3\}-\\d\{4\} "\\\n'
    "\g<1>could be adjusted upwards if the area code is \\\n",
)

# Fix Docstrings in google/cloud/dlp_v2/proto/storage_pb2.py
s.replace(
    "google/cloud/dlp_v2/proto/storage_pb2.py",
    "(hotword_regex:)\n(\s+Regular expression.*)\n",
    "\g<1> \\\n\g<2> \\\n",
)

s.replace(
    "google/cloud/dlp_v2/proto/storage_pb2.py",
    "(likelihood_adjustment:)\n",
    "\g<1> \\\n",
)

# Fix Docstrings in google/cloud/dlp_v2/proto/dlp_pb2.py
s.replace(
    "google/cloud/dlp_v2/proto/dlp_pb2.py",
    "(max_findings_per_item:)\n(\s+Max number.*)\n(\s+scanned. When.*)\n"
    "(\s+maximum returned is 1000.*)\n(\s+When set within.*)\n",
    "\g<1> \\\n\g<2> \\\n\g<3> \\\n\g<4> \\\n\g<5> \\\n",
)

s.replace(
    "google/cloud/dlp_v2/proto/dlp_pb2.py",
    "(max_findings_per_request:)\n(\s+Max number of.*)\n(\s+When set .*)\n",
    "\g<1> \\\n\g<2> \\\n\g<3> \\\n",
)

s.replace(
    "google/cloud/dlp_v2/proto/dlp_pb2.py",
    "(max_findings_per_info_type:)\n",
    "\g<1> \\\n",
)

s.replace(
    "google/cloud/dlp_v2/proto/dlp_pb2.py",
    "(snapshot_inspect_template:)\n(\s+If run with an .*)\n",
    "\g<1> \\\n\g<2> \\\n",
)

to_replace = [
    "processed_bytes:",
    "total_estimated_bytes:",
    "info_type_stats:",
    "Statistics of how many instances of each info type were found",
    "requested_options:",
]

for replace in to_replace:
    s.replace("google/cloud/dlp_v2/proto/dlp_pb2.py", f"({replace})\n", "\g<1> \\\n")

s.replace(
    "google/cloud/dlp_v2/proto/dlp_pb2.py",
    "(sensitive_value_frequency_lower_bound:)\n(\s+Lower bound.*)\n",
    "\g<1> \\\n\g<2> \\\n",
)

s.replace(
    "google/cloud/dlp_v2/proto/dlp_pb2.py",
    "(sensitive_value_frequency_upper_bound:)\n(\s+Upper bound.*)\n",
    "\g<1> \\\n\g<2> \\\n",
)

s.replace(
    "google/cloud/dlp_v2/proto/dlp_pb2.py",
    "(bucket_size:)\n(\s+Total number of equivalence.*)\n",
    "\g<1> \\\n\g<2>\n",
)

s.replace(
    "google/cloud/dlp_v2/proto/dlp_pb2.py",
    "(bucket_values:)\n(\s+Sample of equivalence.*)\n",
    "\g<1> \\\n\g<2> \\\n",
)

s.replace(
    "google/cloud/dlp_v2/proto/dlp_pb2.py",
    "(offset_minutes:)\n(\s+Set only.*)\n",
    "\g<1> \\\n\g<2> \\\n",
)

s.replace(
    "google/cloud/dlp_v2/proto/dlp_pb2.py",
    "(result:)\n(\s+A summary of the outcome of this inspect job.)",
    "\g<1> \\\n\g<2>",
)

s.replace(
    "google/cloud/dlp_v2/proto/dlp_pb2.py",
    "(storage_config:)\n(\s+The data to scan.\n)",
    "\g<1> \\\n\g<2>",
)

s.replace(
    "google/cloud/dlp_v2/proto/dlp_pb2.py",
    "(inspect_config:)\n(\s+How and what to scan for.\n)",
    "\g<1> \\\n\g<2>",
)

s.replace(
    "google/cloud/dlp_v2/proto/dlp_pb2.py",
    "(inspect_template_name:)\n(\s+If provided, will be.*)\n"
    "(\s+InspectConfig.*)\n(\s+values persisted.*)\n(\s+actions:)\n"
    "(\s+Actions to.*)\n",
    "\g<1> \\\n\g<2> \\\n\g<3> \\\n\g<4> \\\n\g<5> \\\n\g<6> \\\n",
)

s.replace(
    "google/cloud/dlp_v2/proto/dlp_pb2.py",
    "    (\s+Set of values defining the equivalence class.*)\n"
    "    (\s+quasi-identifier.*)\n"
    "    (\s+message. The order.*)\n",
    "\g<1> \\\n\g<2> \\\n\g<3>\n",
)

s.replace(
    "google/cloud/dlp_v2/proto/dlp_pb2.py",
    "    (\s+Size of the equivalence class, for example number of rows with)\n"
    "    (\s+the above set of values.)\n",
    "\g<1> \\\n\g<2>\n",
)

s.replace(
    "google/cloud/dlp_v2/proto/dlp_pb2.py",
    "(equivalence_class_size_lower_bound:)\n(\s+Lower bound.*)\n",
    "\g<1> \\\n\g<2> \\\n",
)

s.replace(
    "google/cloud/dlp_v2/proto/dlp_pb2.py",
    "(equivalence_class_size_upper_bound:)\n(\s+Upper bound.*)\n",
    "\g<1> \\\n\g<2> \\\n",
)

s.replace(
    "google/cloud/dlp_v2/proto/dlp_pb2.py",
    "(bucket_value_count:)\n(\s+Total number of distinct equivalence.*)\n",
    "\g<1> \\\n\g<2>\n",
)

# Docstrings from categorical histogram bucket
s.replace(
    "google/cloud/dlp_v2/proto/dlp_pb2.py",
    "(value_frequency_lower_bound:)\n\s+(Lower bound.*)\n\s+(bucket.\n)"
    "(\s+value_frequency_upper.*)\n\s+(Upper.*)\n\s+(bucket.\n)"
    "(\s+bucket_size:)\n\s+(Total.*\n)"
    "(\s+bucket_values:)\n\s+(Sample of value.*)\n\s+(of values.*\n)"
    "(\s+bucket_value_count:)\n\s+(Total number.*\n)",
    "\g<1> \g<2> \g<3>\g<4> \g<5> \g<6>\g<7> \g<8>" "\g<9> \g<10> \g<11>\g<12> \g<13>",
)

# Fix docstrings tagged field indentation issues in dlp_pb2.py
s.replace(
    "google/cloud/dlp_v2/proto/dlp_pb2.py",
    "(DESCRIPTOR .*_TAGGEDFIELD,\n\s+__module__.*\n\s+,\n\s+__doc__.*\n)"
    "(\s+field:)\n(\s+Identifies .*)\n(\s+tag:)\n(\s+Semantic.*)\n"
    "(\s+determine.*)\n(\s+reidentifiability.*)\n(\s+info_type:)\n"
    "(\s+A column.*)\n(\s+public dataset.*)\n(\s+available.*)\n(\s+ages.*)\n"
    "(\s+supported Info.*)\n(\s+supported.*)\n(\s+custom_tag:)\n(\s+A col.*)\n"
    "(\s+user must.*)\n(\s+statist.*)\n(\s+\(below.*)\n(\s+inferred:)\n"
    "(\s+If no semantic.*)\n",
    "\g<1>\g<2> \\\n\g<3>\n\g<4> \\\n\g<5> \\\n\g<6> \\\n"
    "\g<7> \\\n\g<8> \\\n\g<9> \\\n\g<10> \\\n\g<11> \\\n\g<12> \\\n"
    "\g<13> \\\n\g<14>\n\g<15> \\\n\g<16> \\\n\g<17> \\\n\g<18> \\\n"
    "\g<19>\n\g<20> \\\n\g<21> \\\n",
)

s.replace(
    "google/cloud/dlp_v2/proto/dlp_pb2.py",
    "(////////.*)\n\s+(///////////////\n)",
    "\g<1> \g<2>",
)

# Fix Docstrings in google/cloud/dlp_v2/gapic/dlp_service_client.py
s.replace(
    "google/cloud/dlp_v2/gapic/dlp_service_client.py",
    "^\s+resource was created.",
    "  \g<0>",
)

# Fix Docstrings in google/cloud/dlp_v2/gapic/enums.py
s.replace(
    "google/cloud/dlp_v2/gapic/enums.py",
    "(\s+)WHITESPACE \(int\).*\n",
    "\g<1>WHITESPACE (int): Whitespace character\n",
)

s.replace("google/cloud/dlp_v2/gapic/enums.py", ".*:raw-latex:.*\n", "")

# ----------------------------------------------------------------------------
# Add templated files
# ----------------------------------------------------------------------------
templated_files = common.py_library(unit_cov_level=97, cov_level=100)
s.move(templated_files)

s.shell.run(["nox", "-s", "blacken"], hide_output=False)
