def team_list_sync():
team_list = search_teams({}, 0, _es_size)
for team in team_list:
id = team['id']
team_training_model_sync(id)
details_info = get_team_details(id)
member_id_list = []
for member in details_info['member_list']:
member_id_list.append(member['user_id'])
skill_value = details_info.get('skill_value', 0)
solve_count = details_info.get('solve_count', 0)
previous_problem_score = details_info['total_score']
current_problem_score = get_total_problem_score_for_user(
member_id_list)
updated_data = {'total_score': current_problem_score}
decrease_factor = 0
if current_problem_score < previous_problem_score + details_info[
'target_score']:
decrease_amount = previous_problem_score + details_info[
'target_score'] - current_problem_score
decrease_factor = math.sqrt(decrease_amount)
skill = Skill()
updated_data['decreased_skill_value'] = details_info[
'decreased_skill_value'] + decrease_factor
current_skill = skill_value - updated_data['decreased_skill_value']
current_skill_level = skill.get_skill_level_from_skill(current_skill)
updated_data['target_score'] = skill.generate_next_week_prediction(
current_skill_level)
add_user_ratings(id, current_skill, solve_count)
update_team_details(id, updated_data)
app.logger.info(f'team_list_sync completed')
def user_list_sync():
app.logger.info(f'user_list_sync called')
user_list = search_user({}, 0, _es_size)
for user in user_list:
id = user['id']
user_problem_data_sync(id)
app.logger.info(f'user_problem_data_sync done')
# user_training_model_sync(id)
# app.logger.info(f'user_training_model_sync done')
details_info = get_user_details(id)
skill_value = details_info.get('skill_value', 0)
solve_count = details_info.get('solve_count', 0)
app.logger.info(
f'skill_value: {skill_value}, solve_count: {solve_count}')
previous_problem_score = details_info['total_score']
app.logger.info(f'previous_problem_score: {previous_problem_score}')
current_problem_score = get_total_problem_score_for_user([id])
app.logger.info(f'current_problem_score: {current_problem_score}')
updated_data = {'total_score': current_problem_score}
decrease_factor = 0
if current_problem_score < previous_problem_score + details_info[
'target_score']:
decrease_amount = previous_problem_score + details_info[
'target_score'] - current_problem_score
app.logger.info(f'decrease_amount: {decrease_amount}')
decrease_factor = math.sqrt(decrease_amount)
skill = Skill()
updated_data['decreased_skill_value'] = details_info[
'decreased_skill_value'] + decrease_factor
current_skill = skill_value - updated_data['decreased_skill_value']
app.logger.info(f'current_skill: {current_skill}')
current_skill_level = skill.get_skill_level_from_skill(current_skill)
app.logger.info(f'decrease_amount: {current_skill_level}')
updated_data['target_score'] = skill.generate_next_week_prediction(
current_skill_level)
app.logger.info(f'updated_data: {updated_data}')
add_user_ratings(id, current_skill, solve_count)
update_user_details(id, updated_data)
app.logger.info(f'user_list_sync completed')
