mirror of
https://gitlab.crans.org/bde/nk20-scripts
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c518b3dddb
L'eveil du nanax See merge request bde/nk20-scripts!2
115 lines
4.1 KiB
Python
115 lines
4.1 KiB
Python
# Copyright (C) 2018-2021 by BDE ENS Paris-Saclay
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# SPDX-License-Identifier: GPL-3.0-or-later
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import json
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import time
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from collections import defaultdict
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from django.apps import apps
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from django.core.management.base import BaseCommand
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from django.db import transaction
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from polymorphic.models import PolymorphicModel
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def timed(method):
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""""
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A simple decorator to measure time elapsed in class function (hence the args[0])
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"""
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def _timed(*args, **kw):
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ts = time.time()
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result = method(*args, **kw)
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te = time.time()
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args[0].print_success(f"\n {method.__name__} executed ({te-ts:.2f}s)")
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return result
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return _timed
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class ImportCommand(BaseCommand):
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"""
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Generic command for import of NK15 database
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"""
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def __init__(self, *args, **kwargs):
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super().__init__(args, kwargs)
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self.MAP_IDBDE = dict()
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def print_success(self, to_print):
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return self.stdout.write(self.style.SUCCESS(to_print))
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def print_error(self, to_print):
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return self.stdout.write(self.style.ERROR(to_print))
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def update_line(self, n, total, content):
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n = str(n)
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total = str(total)
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n.rjust(len(total))
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print(f"\r ({n}/{total}) {content:16.16}", end="")
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def create_parser(self, prog_name, subcommand, **kwargs):
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parser = super().create_parser(prog_name, subcommand, **kwargs)
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parser.add_argument('--nk15db', action='store', default='nk15', help='NK15 database name')
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parser.add_argument('--nk15user', action='store', default='nk15_user', help='NK15 database owner')
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parser.add_argument('-s', '--save', default='map.json', action='store', help="save mapping of idbde")
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parser.add_argument('-m', '--map', default='map.json', action='store', help="import mapping of idbde")
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parser.add_argument('-c', '--chunk', type=int, default=100, help="chunk size for bulk_create")
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return parser
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def save_map(self, filename):
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with open(filename, 'w') as fp:
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json.dump(self.MAP_IDBDE, fp, sort_keys=True, indent=2)
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def load_map(self, filename):
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with open(filename, 'r') as fp:
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self.MAP_IDBDE = json.load(fp, object_hook=lambda d: {int(k): int(v) for k, v in d.items()})
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class BulkCreateManager(object):
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"""
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This helper class keeps track of ORM objects to be created for multiple
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model classes, and automatically creates those objects with `bulk_create`
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when the number of objects accumulated for a given model class exceeds
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`chunk_size`.
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Upon completion of the loop that's `add()`ing objects, the developer must
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call `done()` to ensure the final set of objects is created for all models.
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"""
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def __init__(self, chunk_size=100):
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self._create_queues = defaultdict(list)
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self.chunk_size = chunk_size
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def _commit(self, model_class):
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model_key = model_class._meta.label
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# check for mutli-table inheritance it happens
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# if model_class is a grand-child of PolymorphicModel
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if model_class.__base__.__base__ is PolymorphicModel:
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self._commit(model_class.__base__)
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with transaction.atomic():
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for obj in self._create_queues[model_key]:
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obj.save_base(raw=True)
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else:
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model_class.objects.bulk_create(self._create_queues[model_key])
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self._create_queues[model_key] = []
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def add(self, *args):
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"""
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Add an object to the queue to be created, and call bulk_create if we
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have enough objs.
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"""
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for obj in args:
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model_class = type(obj)
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model_key = model_class._meta.label
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self._create_queues[model_key].append(obj)
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if len(self._create_queues[model_key]) >= self.chunk_size:
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self._commit(model_class)
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def done(self):
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"""
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Always call this upon completion to make sure the final partial chunk
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is saved.
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"""
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for model_name, objs in self._create_queues.items():
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if len(objs) > 0:
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self._commit(apps.get_model(model_name))
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