add account preferences model and API endpoints for user settings

This commit is contained in:
j3d1 2026-08-01 02:29:57 +02:00
parent a9d5bbb9df
commit 32addb8ed1
11 changed files with 297 additions and 21 deletions

View file

@ -8,6 +8,7 @@ from authentication.signature_auth import SignatureAuthentication
from toolshed.offlinedata import (
inventory_rows, friend_rows, location_rows, inventory_files, rows_to_csv,
import_locations, import_friends, import_inventory,
profile_data, profile_picture_files, settings_data, import_profile, import_settings,
)
@ -23,11 +24,15 @@ def local_user_or_none(identity):
def user_data(user):
import io
import json
import zipfile
zip_buffer = io.BytesIO()
with zipfile.ZipFile(zip_buffer, "a", zipfile.ZIP_DEFLATED, False) as zip_file:
zip_file.writestr('profile.json', json.dumps(profile_data(user)))
zip_file.writestr('settings.json', json.dumps(settings_data(user)))
inventory_csv = b''.join(rows_to_csv(inventory_rows(user)))
zip_file.writestr('inventory.csv', inventory_csv)
@ -37,8 +42,16 @@ def user_data(user):
locations_csv = b''.join(rows_to_csv(location_rows(user)))
zip_file.writestr('locations.csv', locations_csv)
for arcname, data in inventory_files(user):
written_files = set()
for arcname, data in profile_picture_files(user):
zip_file.writestr(arcname, data)
written_files.add(arcname)
for arcname, data in inventory_files(user):
if arcname in written_files:
continue
zip_file.writestr(arcname, data)
written_files.add(arcname)
return zip_buffer.getvalue()
@ -89,13 +102,14 @@ def import_files(zip_file):
def import_user_data(user, data):
"""Fault-tolerant import of an export zip produced by `user_data()`.
Any of 'inventory.csv', 'friends.csv', 'locations.csv' or the 'files/' subfolder may be
missing; whatever is present is imported and everything else is silently skipped.
Any of 'profile.json', 'settings.json', 'inventory.csv', 'friends.csv', 'locations.csv' or
the 'files/' subfolder may be missing; whatever is present is imported and everything else
is silently skipped.
"""
import io
import zipfile
summary = {'locations': 0, 'friends': 0, 'inventory_items': 0, 'files': 0}
summary = {'profile': False, 'settings': 0, 'locations': 0, 'friends': 0, 'inventory_items': 0, 'files': 0}
with zipfile.ZipFile(io.BytesIO(data), 'r') as zip_file:
names = set(zip_file.namelist())
@ -103,6 +117,12 @@ def import_user_data(user, data):
available_files = import_files(zip_file)
summary['files'] = len(available_files)
if 'profile.json' in names:
summary['profile'] = import_profile(user, zip_file.read('profile.json'), available_files)
if 'settings.json' in names:
summary['settings'] = import_settings(user, zip_file.read('settings.json'))
if 'locations.csv' in names:
summary['locations'] = import_locations(user, zip_file.read('locations.csv'))

View file

@ -106,6 +106,116 @@ def inventory_files(user):
yield arcname, data
def profile_data(user):
"""Return the given user's profile as a dict, matching profile.json in the export zip."""
import mimetypes
data = {
'username': user.username,
'domain': user.domain,
'email': user.email,
'first_name': user.first_name or '',
'last_name': user.last_name or '',
'profile_picture': None,
}
if user.profile_picture:
extension = mimetypes.guess_extension(user.profile_picture.mime_type) or ''
data['profile_picture'] = f'files/{user.profile_picture.hash}{extension}'
return data
def profile_picture_files(user):
"""Generator that yields (arcname, data) for the user's profile picture, if one is set.
Kept separate from `inventory_files()` so the profile picture is included in the export
even for users with no inventory items or whose picture isn't attached to any item.
"""
import mimetypes
if not user.profile_picture:
return
extension = mimetypes.guess_extension(user.profile_picture.mime_type) or ''
arcname = f'files/{user.profile_picture.hash}{extension}'
user.profile_picture.file.open('rb')
try:
data = user.profile_picture.file.read()
finally:
user.profile_picture.file.close()
yield arcname, data
def settings_data(user):
"""Return the given user's account-level preferences as a {key: value} dict for settings.json.
Only account preferences (AccountPreference) are exported; device-level preferences stay
in the browser's local storage since they describe the device, not the account.
"""
return {pref.key: pref.value for pref in user.preferences.all()}
def import_profile(user, data, available_files):
"""Fault-tolerant import of profile.json, updating the user's editable profile fields.
Only 'first_name', 'last_name', 'email' and 'profile_picture' (a 'files/...' path present in
`available_files`) are applied; 'username' and 'domain' are ignored since they identify the
account itself and can't be changed by an import.
"""
import json
try:
profile = json.loads(data.decode('utf-8'))
if not isinstance(profile, dict):
return False
if 'first_name' in profile:
user.first_name = profile.get('first_name') or ''
if 'last_name' in profile:
user.last_name = profile.get('last_name') or ''
if profile.get('email'):
user.email = profile['email']
picture_path = profile.get('profile_picture')
if picture_path and picture_path in available_files:
user.profile_picture = available_files[picture_path]
user.save()
return True
except Exception as error:
print(f'Skipping profile.json: {error}')
return False
def import_settings(user, data):
"""Fault-tolerant import of settings.json into the user's account-level preferences.
Each top-level key/value pair is upserted as an AccountPreference; unreadable data or a
non-object payload is skipped rather than aborting the whole import.
"""
import json
from authentication.models import AccountPreference
try:
settings = json.loads(data.decode('utf-8'))
if not isinstance(settings, dict):
return 0
imported = 0
for key, value in settings.items():
try:
AccountPreference.objects.update_or_create(user=user, key=key, defaults={'value': value})
imported += 1
except Exception as error:
print(f'Skipping setting "{key}": {error}')
return imported
except Exception as error:
print(f'Skipping settings.json: {error}')
return 0
def rows_to_csv(rows, fieldnames=None, encoding='utf-8'):
"""Generator that consumes an iterable of dicts and yields encoded CSV data chunk by chunk."""
import csv