mirror of
https://github.com/inventree/InvenTree.git
synced 2026-09-27 14:16:02 +00:00
Export records (#12887)
* Add 'bulkdumpdata' command * Test --bulk option in CI
This commit is contained in:
@@ -117,14 +117,15 @@ jobs:
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invoke import-records -c -f ${{ env.DATA_FILE }} --strict
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invoke import-records -c -f ${{ env.DATA_FILE }} --strict
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cd src/backend/InvenTree && python manage.py check_dummy_data
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invoke export-records -o -f ${{ env.DATA_FILE }}
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invoke export-records -o -f ${{ env.DATA_FILE }} --bulk
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python ../../../.github/scripts/check_exported_data.py ${{ env.DATA_FILE }}
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- name: Bulk Import Sqlite Dataset
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run: |
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# Ensure that the 'bulk' import process works as expected
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invoke import-records -c -f ${{ env.DATA_FILE }} --strict --bulk
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cd src/backend/InvenTree && python manage.py check_dummy_data
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invoke export-records -o -f ${{ env.DATA_FILE }} --prettify
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# Ensure that the 'bulk' export process works as expected
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invoke export-records -o -f ${{ env.DATA_FILE }} --prettify --bulk
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python ../../../.github/scripts/check_exported_data.py ${{ env.DATA_FILE }}
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content-excludes:
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@@ -132,7 +133,7 @@ jobs:
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# category of data (email logs, API tokens, SSO app/token data, user
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# sessions, and group/user permissions) according to its --include-x /
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# --exclude-x flags. Separate from the 'test' job above since it exercises
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# a different axis of behaviour (export content, not the import/export
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# a different axis of behavior (export content, not the import/export
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# round-trip) and doesn't need the Sqlite half at all.
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runs-on: ubuntu-latest
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needs: paths-filter
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@@ -276,7 +277,7 @@ jobs:
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"
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bulk-conflicts:
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# Check for expected conflict behaviour when re-importing a dataset into a database that already contains that dataset.
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# Check for expected conflict behavior when re-importing a dataset into a database that already contains that dataset.
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runs-on: ubuntu-latest
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needs: paths-filter
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if: needs.paths-filter.outputs.server == 'true' || contains(github.event.pull_request.labels.*.name, 'full-run')
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@@ -0,0 +1,66 @@
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"""Custom management command to export fixtures faster, by caching natural-key lookups."""
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from contextlib import contextmanager
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from django.core.management.commands.dumpdata import Command as DumpDataCommand
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from django.core.serializers import python as serializers_python
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class Command(DumpDataCommand):
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"""Dump fixtures using a natural-key cache for improved performance.
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Behaves identically to the built-in 'dumpdata' command, with one difference:
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- When --natural-foreign is used, Django's serializer resolves each natural-key
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FK by fetching the full related row (getattr(obj, field.name)) with no caching
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of its own - see cached_handle_fk_field(). A large export can have many rows
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referencing the same handful of natural-keyed objects (e.g. thousands of
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stock.StockItem rows all pointing at a few part.Part records), which otherwise
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costs one query per *row* instead of one query per distinct related object.
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This mirrors the caching bulkloaddata.py already does on the import side.
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"""
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def handle(self, *app_labels, **options):
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"""Wrap the base dumpdata command with a natural-key FK resolution cache."""
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with self._cached_natural_keys():
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super().handle(*app_labels, **options)
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@contextmanager
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def _cached_natural_keys(self):
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"""Cache natural-key foreign key resolutions for the duration of this block.
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Keyed by (related model, raw FK id) rather than the natural key tuple
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itself, so a cache hit never needs to touch the FK descriptor (and
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therefore never issues a query) - only the raw id column already present
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on the serialized object.
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"""
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cache = {}
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original = serializers_python.Serializer.handle_fk_field
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def cached_handle_fk_field(serializer_self, obj, field):
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if not (
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serializer_self.use_natural_foreign_keys
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and hasattr(field.remote_field.model, 'natural_key')
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):
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return original(serializer_self, obj, field)
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fk_id = getattr(obj, field.attname)
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if fk_id is None:
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serializer_self._current[field.name] = None
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return
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cache_key = (field.remote_field.model, fk_id)
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if cache_key in cache:
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serializer_self._current[field.name] = cache[cache_key]
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return
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original(serializer_self, obj, field)
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cache[cache_key] = serializer_self._current[field.name]
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serializers_python.Serializer.handle_fk_field = cached_handle_fk_field
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try:
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yield
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finally:
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serializers_python.Serializer.handle_fk_field = original
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@@ -49,7 +49,10 @@ def isWaitingForDatabase():
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def isImportingData():
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"""Returns True if the database is currently importing (or exporting) data, e.g. 'loaddata' command is performed."""
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return any(x in sys.argv for x in ['flush', 'loaddata', 'bulkloaddata', 'dumpdata'])
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return any(
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x in sys.argv
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for x in ['flush', 'loaddata', 'bulkloaddata', 'dumpdata', 'bulkdumpdata']
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)
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def isRunningMigrations():
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@@ -161,6 +161,74 @@ class CommandTestCase(TestCase):
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ContentType.objects.filter(pk__in=pks).delete()
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tmp_file.unlink(missing_ok=True)
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def test_bulkdumpdata_natural_key_caching(self):
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"""Test that bulkdumpdata caches natural-key FK resolution during serialization."""
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from django.contrib.admin.models import ADDITION, LogEntry
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from django.contrib.contenttypes.models import ContentType
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from django.core import serializers
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from django.db import connection
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from django.test.utils import CaptureQueriesContext
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from InvenTree.management.commands.bulkdumpdata import (
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Command as BulkDumpDataCommand,
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)
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user = User.objects.create_user(username='bulkdumpdata_test_user')
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content_type = ContentType.objects.create(
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app_label='bulkdumpdata_test', model='dummymodel'
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)
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entries = [
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LogEntry.objects.create(
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user=user,
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content_type=content_type,
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object_id=str(i),
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object_repr=f'Object {i}',
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action_flag=ADDITION,
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change_message='Created',
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)
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for i in range(20)
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]
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pks = [e.pk for e in entries]
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def make_queryset():
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# A fresh queryset each time, so FK descriptor caching on the
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# instances themselves can't mask whether *our* cache is doing
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# the work
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return LogEntry.objects.filter(pk__in=pks).order_by('pk')
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try:
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with CaptureQueriesContext(connection) as uncached:
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uncached_data = serializers.serialize(
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'json', make_queryset(), use_natural_foreign_keys=True
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)
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with CaptureQueriesContext(connection) as cached:
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with BulkDumpDataCommand()._cached_natural_keys():
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cached_data = serializers.serialize(
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'json', make_queryset(), use_natural_foreign_keys=True
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)
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# Same output either way - caching must not change what gets exported
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self.assertEqual(uncached_data, cached_data)
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# Without caching: one extra query per row for each repeated
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# natural-keyed FK (content_type and user are both natural-keyed
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# here, so up to 2 extra queries per row -> 40, plus the main select)
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self.assertGreaterEqual(len(uncached.captured_queries), 40)
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# With caching: only the first reference to each distinct related
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# object (one content_type, one user) issues a query - every other
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# row is served from cache
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self.assertLessEqual(len(cached.captured_queries), 4)
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self.assertLess(
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len(cached.captured_queries), len(uncached.captured_queries)
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)
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finally:
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LogEntry.objects.filter(pk__in=pks).delete()
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content_type.delete()
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user.delete()
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def test_backup_metadata(self):
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"""Test the backup metadata functions."""
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from InvenTree.backup import (
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@@ -1206,6 +1206,7 @@ def update(
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'include_sso': 'Include SSO token data in the output file (default = False)',
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'include_session': 'Include user session data in the output file (default = False)',
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'prettify': 'Pretty-print the output file with indentation (default = False)',
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'bulk': 'Use bulkdumpdata for improved performance on large datasets (default = False)',
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'verbose': 'Print verbose output from management commands',
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}
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)
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@@ -1221,6 +1222,7 @@ def export_records(
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include_sso: bool = False,
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include_session: bool = False,
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prettify: bool = False,
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bulk: bool = False,
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verbose: bool = False,
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):
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"""Export all database records to a file."""
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@@ -1246,7 +1248,7 @@ def export_records(
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with tempfile.NamedTemporaryFile(
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suffix='.json', encoding='utf-8', mode='w+t', delete=True
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) as tmpfile:
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cmd = f"dumpdata --natural-foreign --output '{tmpfile.name}' {excludes}"
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cmd = f"{'bulkdumpdata' if bulk else 'dumpdata'} --natural-foreign --output '{tmpfile.name}' {excludes}"
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if prettify:
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cmd += ' --indent 2'
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@@ -1259,41 +1261,60 @@ def export_records(
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tmpfile.seek(0)
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data = json.loads(tmpfile.read())
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data_out = [
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{
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'metadata': True,
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'comment': 'This file contains a dump of the InvenTree database',
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'exported_at': datetime.datetime.now().isoformat(),
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'exported_at_utc': datetime.datetime.now(datetime.UTC).isoformat(),
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'source_version': get_inventree_version(),
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'api_version': get_inventree_api_version(),
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'django_version': get_django_version(),
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'python_version': python_version(),
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'source_commit': get_commit_hash(),
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'installed_apps': installed_apps(c),
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}
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]
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metadata_entry = {
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'metadata': True,
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'comment': 'This file contains a dump of the InvenTree database',
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'exported_at': datetime.datetime.now().isoformat(),
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'exported_at_utc': datetime.datetime.now(datetime.UTC).isoformat(),
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'source_version': get_inventree_version(),
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'api_version': get_inventree_api_version(),
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'django_version': get_django_version(),
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'python_version': python_version(),
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'source_commit': get_commit_hash(),
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'installed_apps': installed_apps(c),
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}
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for entry in data:
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model_name = entry.get('model', None)
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def entries_out():
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"""Filter and adjust entries as they are written, without ever materializing a second copy of the entire (potentially huge) dataset in memory.
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# Ignore any temporary settings (start with underscore)
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if model_name in ['common.inventreesetting', 'common.inventreeusersetting']:
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if entry['fields'].get('key', '').startswith('_'):
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continue
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Yields:
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dict: The next entry to write to the output file.
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"""
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yield metadata_entry
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if include_permissions is False:
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if model_name == 'auth.group':
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entry['fields']['permissions'] = []
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for entry in data:
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model_name = entry.get('model', None)
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if model_name == 'auth.user':
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entry['fields']['user_permissions'] = []
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# Ignore any temporary settings (start with underscore)
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if model_name in ['common.inventreesetting', 'common.inventreeusersetting']:
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if entry['fields'].get('key', '').startswith('_'):
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continue
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data_out.append(entry)
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if include_permissions is False:
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if model_name == 'auth.group':
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entry['fields']['permissions'] = []
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# Write the processed data to file
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if model_name == 'auth.user':
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entry['fields']['user_permissions'] = []
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yield entry
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indent = 2 if prettify else None
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# Write the processed data to file, one entry at a time - avoids ever
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# holding a second full copy of the (potentially huge) dataset in memory,
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# and avoids a single json.dumps() call across the entire dataset at once
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with open(target, 'w', encoding='utf-8') as f_out:
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f_out.write(json.dumps(data_out, indent=2 if prettify else None))
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f_out.write('[')
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for i, entry in enumerate(entries_out()):
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if i:
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f_out.write(',')
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if prettify:
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f_out.write('\n')
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f_out.write(json.dumps(entry, indent=indent))
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if prettify:
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f_out.write('\n')
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f_out.write(']')
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success('Data export completed')
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