--[[ Copyright (c) 2020, Vsevolod Stakhov Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. ]]-- local neural_common = require "plugins/neural" local ts = require("tableshape").types local ucl = require "ucl" local E = {} -- Controller neural plugin local learn_request_schema = ts.shape{ ham_vec = ts.array_of(ts.array_of(ts.number)), rule = ts.string:is_optional(), spam_vec = ts.array_of(ts.array_of(ts.number)), } local function handle_learn(task, conn) local parser = ucl.parser() local ok, err = parser:parse_text(task:get_rawbody()) if not ok then conn:send_error(400, err) return end local req_params = parser:get_object() ok, err = learn_request_schema:transform(req_params) if not ok then conn:send_error(400, err) return end local rule_name = req_params.rule or 'default' local rule = neural_common.settings.rules[rule_name] local set = neural_common.get_rule_settings(task, rule) local version = ((set.ann or E).version or 0) + 1 neural_common.spawn_train{ ev_base = task:get_ev_base(), ann_key = neural_common.new_ann_key(rule, set, version), set = set, rule = rule, ham_vec = req_params.ham_vec, spam_vec = req_params.spam_vec, worker = task:get_worker(), } conn:send_string('{"success" : true}') end return { learn = { handler = handle_learn, enable = true, need_task = true, }, }