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# ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# 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, write to the Free Software Foundation,
# Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
#
# ##### END GPL LICENSE BLOCK #####
# mainly update functions and callbacks for ratings properties, here to avoid circular imports.
import bpy
from blenderkit import utils, paths, tasks_queue, rerequests
import threading
import requests
import logging
bk_logger = logging.getLogger('blenderkit')
def upload_comment_thread(url, comment='', api_key=None):
''' Upload rating thread function / disconnected from blender data.'''
headers = utils.get_headers(api_key)
bk_logger.debug('upload comment ' + comment)
# rating_url = url + rating_name + '/'
data = {
"content_type": "",
"object_pk": "",
"timestamp": "",
"security_hash": "",
"honeypot": "",
"name": "",
"email": "",
"url": "",
"comment": comment,
"followup": False,
"reply_to": None
}
# try:
r = rerequests.put(url, data=data, verify=True, headers=headers)
print(r)
# print(dir(r))
print(r.text)
# except requests.exceptions.RequestException as e:
# print('ratings upload failed: %s' % str(e))
def upload_comment_flag_thread( asset_id = '', comment_id='', flag='like', api_key=None):
''' Upload rating thread function / disconnected from blender data.'''
headers = utils.get_headers(api_key)
bk_logger.debug('upload comment flag' + str(comment_id))
# rating_url = url + rating_name + '/'
data = {
"comment": comment_id,
"flag": flag,
}
url = paths.get_api_url() + 'comments/feedback/'
# try:
r = rerequests.post(url, data=data, verify=True, headers=headers)
print(r.text)
#here it's important we read back, so likes are updated accordingly:
get_comments(asset_id, api_key)
def send_comment_flag_to_thread(asset_id = '', comment_id='', flag='like', api_key = None):
'''Sens rating into thread rating, main purpose is for tasks_queue.
One function per property to avoid lost data due to stashing.'''
thread = threading.Thread(target=upload_comment_flag_thread, args=(asset_id, comment_id, flag, api_key))
thread.start()
def send_comment_to_thread(url, comment, api_key):
'''Sens rating into thread rating, main purpose is for tasks_queue.
One function per property to avoid lost data due to stashing.'''
thread = threading.Thread(target=upload_comment_thread, args=(url, comment, api_key))
thread.start()
def store_comments_local(asset_id, comments):
context = bpy.context
ac = context.window_manager.get('asset comments', {})
ac[asset_id] = comments
context.window_manager['asset comments'] = ac
def get_comments_local(asset_id):
context = bpy.context
context.window_manager['asset comments'] = context.window_manager.get('asset comments', {})
comments = context.window_manager['asset comments'].get(asset_id)
if comments:
return comments
return None
def get_comments_thread(asset_id, api_key):
thread = threading.Thread(target=get_comments, args=([asset_id, api_key]), daemon=True)
thread.start()
def get_comments_thread(asset_id, api_key):
thread = threading.Thread(target=get_comments, args=([asset_id, api_key]), daemon=True)
thread.start()
def get_comments(asset_id, api_key):
'''
Retrieve comments from BlenderKit server. Can be run from a thread
Parameters
----------
asset_id
headers
Returns
-------
ratings - dict of type:value ratings
'''
headers = utils.get_headers(api_key)
url = paths.get_api_url() + 'comments/assets-uuidasset/' + asset_id + '/'
params = {}
r = rerequests.get(url, params=params, verify=True, headers=headers)
if r is None:
return
print(r.status_code)
if r.status_code == 200:
rj = r.json()
# store comments - send them to task queue
# print('retrieved comments')
# print(rj)
tasks_queue.add_task((store_comments_local, (asset_id, rj['results'])))
# if len(rj['results'])==0:
# # store empty ratings too, so that server isn't checked repeatedly
# tasks_queue.add_task((store_rating_local_empty,(asset_id,)))
# return ratings
def store_notifications_count_local(all_count):
'''Store total count of notifications on server in preferences'''
user_preferences = bpy.context.preferences.addons['blenderkit'].preferences
user_preferences.notifications_counter = all_count
def store_notifications_local(notifications):
'''Store notifications in Blender'''
bpy.context.window_manager['bkit notifications'] = notifications
def count_all_notifications():
'''Return count of all notifications on server'''
user_preferences = bpy.context.preferences.addons['blenderkit'].preferences
return user_preferences.notifications_counter
def check_notifications_read():
'''checks if all notifications were already read, and removes them if so'''
notifications = bpy.context.window_manager.get('bkit notifications')
if notifications is None:
return True
for n in notifications:
if n['unread'] == 1:
return False
bpy.context.window_manager['bkit notifications'] = None
return True
def get_notifications(api_key, all_count = 1000):
'''
Retrieve notifications from BlenderKit server. Can be run from a thread.
Parameters
----------
api_key
all_count
Returns
-------
'''
headers = utils.get_headers(api_key)
params = {}
url = paths.get_api_url() + 'notifications/all_count/'
r = rerequests.get(url, params=params, verify=True, headers=headers)
if r.status_code ==200:
rj = r.json()
print(rj)
# no new notifications?
if all_count >= rj['allCount']:
tasks_queue.add_task((store_notifications_count_local, ([rj['allCount']])))
return
url = paths.get_api_url() + 'notifications/unread/'
r = rerequests.get(url, params=params, verify=True, headers=headers)
if r is None:
return
if r.status_code == 200:
rj = r.json()
# store notifications - send them to task queue
tasks_queue.add_task((store_notifications_local, ([rj])))
def mark_notification_read(api_key, notification_id):
'''
mark notification as read
'''
headers = utils.get_headers(api_key)
url = paths.get_api_url() + f'notifications/mark-as-read/{notification_id}/'
params = {}
r = rerequests.get(url, params=params, verify=True, headers=headers)
if r is None:
return
# if r.status_code == 200:
# rj = r.json()
# # store notifications - send them to task queue
# print(rj)
# tasks_queue.add_task((mark_notification_read_local, ([notification_id])))
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