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#!/usr/bin/env python3
#
# Copyright (C) 2022 VyOS maintainers and contributors
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License version 2 or later as
# published by the Free Software Foundation.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
#
# A utility to generate GraphQL schema defintions from standardized op-mode
# scripts.
import os
import json
import typing
from inspect import signature, getmembers, isfunction
from jinja2 import Template
from vyos.defaults import directories
if __package__ is None or __package__ == '':
from util import load_as_module, is_op_mode_function_name, is_show_function_name
else:
from . util import load_as_module, is_op_mode_function_name, is_show_function_name
OP_MODE_PATH = directories['op_mode']
SCHEMA_PATH = directories['api_schema']
DATA_DIR = directories['data']
op_mode_include_file = os.path.join(DATA_DIR, 'op-mode-standardized.json')
schema_data: dict = {'schema_name': '',
'schema_fields': []}
query_template = """
input {{ schema_name }}Input {
key: String!
{%- for field_entry in schema_fields %}
{{ field_entry }}
{%- endfor %}
}
type {{ schema_name }} {
result: Generic
}
type {{ schema_name }}Result {
data: {{ schema_name }}
success: Boolean!
errors: [String]
}
extend type Query {
{{ schema_name }}(data: {{ schema_name }}Input) : {{ schema_name }}Result @genopquery
}
"""
mutation_template = """
input {{ schema_name }}Input {
key: String!
{%- for field_entry in schema_fields %}
{{ field_entry }}
{%- endfor %}
}
type {{ schema_name }} {
result: Generic
}
type {{ schema_name }}Result {
data: {{ schema_name }}
success: Boolean!
errors: [String]
}
extend type Mutation {
{{ schema_name }}(data: {{ schema_name }}Input) : {{ schema_name }}Result @genopmutation
}
"""
def _snake_to_pascal_case(name: str) -> str:
res = ''.join(map(str.title, name.split('_')))
return res
def _map_type_name(type_name: type, optional: bool = False) -> str:
if type_name == str:
return 'String!' if not optional else 'String = null'
if type_name == int:
return 'Int!' if not optional else 'Int = null'
if type_name == bool:
return 'Boolean!' if not optional else 'Boolean = false'
if typing.get_origin(type_name) == list:
if not optional:
return f'[{_map_type_name(typing.get_args(type_name)[0])}]!'
return f'[{_map_type_name(typing.get_args(type_name)[0])}]'
# typing.Optional is typing.Union[_, NoneType]
if (typing.get_origin(type_name) is typing.Union and
typing.get_args(type_name)[1] == type(None)):
return f'{_map_type_name(typing.get_args(type_name)[0], optional=True)}'
# scalar 'Generic' is defined in schema.graphql
return 'Generic'
def create_schema(func_name: str, base_name: str, func: callable) -> str:
sig = signature(func)
field_dict = {}
for k in sig.parameters:
field_dict[sig.parameters[k].name] = _map_type_name(sig.parameters[k].annotation)
# It is assumed that if one is generating a schema for a 'show_*'
# function, that 'get_raw_data' is present and 'raw' is desired.
if 'raw' in list(field_dict):
del field_dict['raw']
schema_fields = []
for k,v in field_dict.items():
schema_fields.append(k+': '+v)
schema_data['schema_name'] = _snake_to_pascal_case(func_name + '_' + base_name)
schema_data['schema_fields'] = schema_fields
if is_show_function_name(func_name):
j2_template = Template(query_template)
else:
j2_template = Template(mutation_template)
res = j2_template.render(schema_data)
return res
def generate_op_mode_definitions():
with open(op_mode_include_file) as f:
op_mode_files = json.load(f)
for file in op_mode_files:
basename = os.path.splitext(file)[0].replace('-', '_')
module = load_as_module(basename, os.path.join(OP_MODE_PATH, file))
funcs = getmembers(module, isfunction)
funcs = list(filter(lambda ft: is_op_mode_function_name(ft[0]), funcs))
funcs_dict = {}
for (name, thunk) in funcs:
funcs_dict[name] = thunk
results = []
for name,func in funcs_dict.items():
res = create_schema(name, basename, func)
results.append(res)
out = '\n'.join(results)
with open(f'{SCHEMA_PATH}/{basename}.graphql', 'w') as f:
f.write(out)
if __name__ == '__main__':
generate_op_mode_definitions()
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