399 lines
16 KiB
C++
399 lines
16 KiB
C++
//
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// Copyright Aliaksei Levin (levlam@telegram.org), Arseny Smirnov (arseny30@gmail.com) 2014-2023
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//
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// Distributed under the Boost Software License, Version 1.0. (See accompanying
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// file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
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//
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#include "td/telegram/ChannelRecommendationManager.h"
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#include "td/telegram/AccessRights.h"
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#include "td/telegram/Application.h"
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#include "td/telegram/ChatManager.h"
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#include "td/telegram/Dependencies.h"
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#include "td/telegram/DialogManager.h"
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#include "td/telegram/Global.h"
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#include "td/telegram/logevent/LogEvent.h"
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#include "td/telegram/logevent/LogEventHelper.h"
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#include "td/telegram/OptionManager.h"
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#include "td/telegram/Td.h"
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#include "td/telegram/TdDb.h"
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#include "td/db/SqliteKeyValueAsync.h"
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#include "td/utils/buffer.h"
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#include "td/utils/logging.h"
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#include "td/utils/SliceBuilder.h"
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#include "td/utils/Time.h"
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#include "td/utils/tl_helpers.h"
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namespace td {
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class GetChannelRecommendationsQuery final : public Td::ResultHandler {
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Promise<std::pair<int32, vector<tl_object_ptr<telegram_api::Chat>>>> promise_;
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ChannelId channel_id_;
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public:
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explicit GetChannelRecommendationsQuery(
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Promise<std::pair<int32, vector<tl_object_ptr<telegram_api::Chat>>>> &&promise)
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: promise_(std::move(promise)) {
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}
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void send(ChannelId channel_id) {
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channel_id_ = channel_id;
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auto input_channel = td_->chat_manager_->get_input_channel(channel_id);
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CHECK(input_channel != nullptr);
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int32 flags = telegram_api::channels_getChannelRecommendations::CHANNEL_MASK;
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send_query(G()->net_query_creator().create(
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telegram_api::channels_getChannelRecommendations(flags, std::move(input_channel))));
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}
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void on_result(BufferSlice packet) final {
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auto result_ptr = fetch_result<telegram_api::channels_getChannelRecommendations>(packet);
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if (result_ptr.is_error()) {
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return on_error(result_ptr.move_as_error());
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}
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auto chats_ptr = result_ptr.move_as_ok();
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LOG(INFO) << "Receive result for GetChannelRecommendationsQuery: " << to_string(chats_ptr);
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switch (chats_ptr->get_id()) {
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case telegram_api::messages_chats::ID: {
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auto chats = move_tl_object_as<telegram_api::messages_chats>(chats_ptr);
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auto total_count = static_cast<int32>(chats->chats_.size());
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return promise_.set_value({total_count, std::move(chats->chats_)});
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}
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case telegram_api::messages_chatsSlice::ID: {
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auto chats = move_tl_object_as<telegram_api::messages_chatsSlice>(chats_ptr);
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return promise_.set_value({chats->count_, std::move(chats->chats_)});
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}
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default:
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UNREACHABLE();
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return promise_.set_error(Status::Error("Unreachable"));
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}
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}
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void on_error(Status status) final {
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td_->chat_manager_->on_get_channel_error(channel_id_, status, "GetChannelRecommendationsQuery");
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promise_.set_error(std::move(status));
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}
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};
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template <class StorerT>
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void ChannelRecommendationManager::RecommendedDialogs::store(StorerT &storer) const {
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bool has_dialog_ids = !dialog_ids_.empty();
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bool has_total_count = static_cast<size_t>(total_count_) != dialog_ids_.size();
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BEGIN_STORE_FLAGS();
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STORE_FLAG(has_dialog_ids);
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STORE_FLAG(has_total_count);
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END_STORE_FLAGS();
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if (has_dialog_ids) {
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td::store(dialog_ids_, storer);
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}
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store_time(next_reload_time_, storer);
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if (has_total_count) {
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td::store(total_count_, storer);
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}
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}
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template <class ParserT>
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void ChannelRecommendationManager::RecommendedDialogs::parse(ParserT &parser) {
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bool has_dialog_ids;
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bool has_total_count;
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BEGIN_PARSE_FLAGS();
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PARSE_FLAG(has_dialog_ids);
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PARSE_FLAG(has_total_count);
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END_PARSE_FLAGS();
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if (has_dialog_ids) {
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td::parse(dialog_ids_, parser);
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}
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parse_time(next_reload_time_, parser);
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if (has_total_count) {
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td::parse(total_count_, parser);
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} else {
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total_count_ = static_cast<int32>(dialog_ids_.size());
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}
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}
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ChannelRecommendationManager::ChannelRecommendationManager(Td *td, ActorShared<> parent)
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: td_(td), parent_(std::move(parent)) {
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if (G()->use_sqlite_pmc() && !G()->use_message_database()) {
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G()->td_db()->get_sqlite_pmc()->erase_by_prefix("channel_recommendations", Auto());
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}
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}
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void ChannelRecommendationManager::tear_down() {
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parent_.reset();
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}
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bool ChannelRecommendationManager::is_suitable_recommended_channel(DialogId dialog_id) const {
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if (dialog_id.get_type() != DialogType::Channel) {
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return false;
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}
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return is_suitable_recommended_channel(dialog_id.get_channel_id());
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}
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bool ChannelRecommendationManager::is_suitable_recommended_channel(ChannelId channel_id) const {
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auto status = td_->chat_manager_->get_channel_status(channel_id);
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return !status.is_member() && td_->chat_manager_->have_input_peer_channel(channel_id, AccessRights::Read);
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}
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bool ChannelRecommendationManager::are_suitable_recommended_dialogs(
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const RecommendedDialogs &recommended_dialogs) const {
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for (auto recommended_dialog_id : recommended_dialogs.dialog_ids_) {
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if (!is_suitable_recommended_channel(recommended_dialog_id)) {
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return false;
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}
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}
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auto is_premium = td_->option_manager_->get_option_boolean("is_premium");
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auto have_all = recommended_dialogs.dialog_ids_.size() == static_cast<size_t>(recommended_dialogs.total_count_);
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if (!have_all && is_premium) {
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return false;
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}
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return true;
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}
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void ChannelRecommendationManager::get_channel_recommendations(
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DialogId dialog_id, bool return_local, Promise<td_api::object_ptr<td_api::chats>> &&chats_promise,
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Promise<td_api::object_ptr<td_api::count>> &&count_promise) {
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if (!td_->dialog_manager_->have_dialog_force(dialog_id, "get_channel_recommendations")) {
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if (chats_promise) {
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chats_promise.set_error(Status::Error(400, "Chat not found"));
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}
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if (count_promise) {
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count_promise.set_error(Status::Error(400, "Chat not found"));
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}
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return;
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}
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if (dialog_id.get_type() != DialogType::Channel) {
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if (chats_promise) {
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chats_promise.set_value(td_api::make_object<td_api::chats>());
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}
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if (count_promise) {
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count_promise.set_value(td_api::make_object<td_api::count>(0));
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}
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return;
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}
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auto channel_id = dialog_id.get_channel_id();
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if (!td_->chat_manager_->is_broadcast_channel(channel_id) ||
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td_->chat_manager_->get_input_channel(channel_id) == nullptr) {
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if (chats_promise) {
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chats_promise.set_value(td_api::make_object<td_api::chats>());
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}
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if (count_promise) {
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count_promise.set_value(td_api::make_object<td_api::count>(0));
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}
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return;
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}
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bool use_database = true;
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auto it = channel_recommended_dialogs_.find(channel_id);
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if (it != channel_recommended_dialogs_.end()) {
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if (are_suitable_recommended_dialogs(it->second)) {
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auto next_reload_time = it->second.next_reload_time_;
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if (chats_promise) {
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chats_promise.set_value(td_->dialog_manager_->get_chats_object(it->second.total_count_, it->second.dialog_ids_,
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"get_channel_recommendations"));
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}
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if (count_promise) {
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count_promise.set_value(td_api::make_object<td_api::count>(it->second.total_count_));
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}
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if (next_reload_time > Time::now()) {
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return;
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}
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chats_promise = {};
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count_promise = {};
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} else {
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LOG(INFO) << "Drop cache for similar chats of " << dialog_id;
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channel_recommended_dialogs_.erase(it);
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if (G()->use_message_database()) {
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G()->td_db()->get_sqlite_pmc()->erase(get_channel_recommendations_database_key(channel_id), Auto());
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}
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}
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use_database = false;
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}
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load_channel_recommendations(channel_id, use_database, return_local, std::move(chats_promise),
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std::move(count_promise));
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}
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string ChannelRecommendationManager::get_channel_recommendations_database_key(ChannelId channel_id) {
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return PSTRING() << "channel_recommendations" << channel_id.get();
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}
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void ChannelRecommendationManager::load_channel_recommendations(
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ChannelId channel_id, bool use_database, bool return_local,
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Promise<td_api::object_ptr<td_api::chats>> &&chats_promise,
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Promise<td_api::object_ptr<td_api::count>> &&count_promise) {
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if (count_promise) {
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get_channel_recommendation_count_queries_[return_local][channel_id].push_back(std::move(count_promise));
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}
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auto &queries = get_channel_recommendations_queries_[channel_id];
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queries.push_back(std::move(chats_promise));
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if (queries.size() == 1) {
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if (G()->use_message_database() && use_database) {
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G()->td_db()->get_sqlite_pmc()->get(
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get_channel_recommendations_database_key(channel_id),
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PromiseCreator::lambda([actor_id = actor_id(this), channel_id](string value) {
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send_closure(actor_id, &ChannelRecommendationManager::on_load_channel_recommendations_from_database,
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channel_id, std::move(value));
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}));
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} else {
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reload_channel_recommendations(channel_id);
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}
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}
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}
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void ChannelRecommendationManager::fail_load_channel_recommendations_queries(ChannelId channel_id, Status &&error) {
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for (int return_local = 0; return_local < 2; return_local++) {
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auto it = get_channel_recommendation_count_queries_[return_local].find(channel_id);
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if (it != get_channel_recommendation_count_queries_[return_local].end()) {
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auto promises = std::move(it->second);
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CHECK(!promises.empty());
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get_channel_recommendation_count_queries_[return_local].erase(it);
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fail_promises(promises, error.clone());
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}
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}
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auto it = get_channel_recommendations_queries_.find(channel_id);
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CHECK(it != get_channel_recommendations_queries_.end());
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auto promises = std::move(it->second);
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CHECK(!promises.empty());
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get_channel_recommendations_queries_.erase(it);
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fail_promises(promises, std::move(error));
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}
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void ChannelRecommendationManager::finish_load_channel_recommendations_queries(ChannelId channel_id, int32 total_count,
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vector<DialogId> dialog_ids) {
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for (int return_local = 0; return_local < 2; return_local++) {
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auto it = get_channel_recommendation_count_queries_[return_local].find(channel_id);
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if (it != get_channel_recommendation_count_queries_[return_local].end()) {
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auto promises = std::move(it->second);
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CHECK(!promises.empty());
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get_channel_recommendation_count_queries_[return_local].erase(it);
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for (auto &promise : promises) {
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promise.set_value(td_api::make_object<td_api::count>(total_count));
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}
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}
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}
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auto it = get_channel_recommendations_queries_.find(channel_id);
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CHECK(it != get_channel_recommendations_queries_.end());
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auto promises = std::move(it->second);
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CHECK(!promises.empty());
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get_channel_recommendations_queries_.erase(it);
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for (auto &promise : promises) {
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if (promise) {
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promise.set_value(td_->dialog_manager_->get_chats_object(total_count, dialog_ids,
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"finish_load_channel_recommendations_queries"));
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}
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}
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}
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void ChannelRecommendationManager::on_load_channel_recommendations_from_database(ChannelId channel_id, string value) {
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if (G()->close_flag()) {
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return fail_load_channel_recommendations_queries(channel_id, G()->close_status());
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}
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if (value.empty()) {
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return reload_channel_recommendations(channel_id);
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}
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auto &recommended_dialogs = channel_recommended_dialogs_[channel_id];
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if (log_event_parse(recommended_dialogs, value).is_error()) {
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channel_recommended_dialogs_.erase(channel_id);
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G()->td_db()->get_sqlite_pmc()->erase(get_channel_recommendations_database_key(channel_id), Auto());
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return reload_channel_recommendations(channel_id);
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}
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Dependencies dependencies;
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for (auto dialog_id : recommended_dialogs.dialog_ids_) {
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dependencies.add_dialog_and_dependencies(dialog_id);
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}
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if (!dependencies.resolve_force(td_, "on_load_channel_recommendations_from_database") ||
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!are_suitable_recommended_dialogs(recommended_dialogs)) {
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channel_recommended_dialogs_.erase(channel_id);
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G()->td_db()->get_sqlite_pmc()->erase(get_channel_recommendations_database_key(channel_id), Auto());
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return reload_channel_recommendations(channel_id);
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}
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auto next_reload_time = recommended_dialogs.next_reload_time_;
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finish_load_channel_recommendations_queries(channel_id, recommended_dialogs.total_count_,
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recommended_dialogs.dialog_ids_);
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if (next_reload_time <= Time::now()) {
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load_channel_recommendations(channel_id, false, false, Auto(), Auto());
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}
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}
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void ChannelRecommendationManager::reload_channel_recommendations(ChannelId channel_id) {
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auto it = get_channel_recommendation_count_queries_[1].find(channel_id);
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if (it != get_channel_recommendation_count_queries_[1].end()) {
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auto promises = std::move(it->second);
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CHECK(!promises.empty());
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get_channel_recommendation_count_queries_[1].erase(it);
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for (auto &promise : promises) {
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promise.set_value(td_api::make_object<td_api::count>(-1));
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}
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}
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auto query_promise =
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PromiseCreator::lambda([actor_id = actor_id(this), channel_id](
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Result<std::pair<int32, vector<tl_object_ptr<telegram_api::Chat>>>> &&result) {
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send_closure(actor_id, &ChannelRecommendationManager::on_get_channel_recommendations, channel_id,
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std::move(result));
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});
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td_->create_handler<GetChannelRecommendationsQuery>(std::move(query_promise))->send(channel_id);
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}
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void ChannelRecommendationManager::on_get_channel_recommendations(
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ChannelId channel_id, Result<std::pair<int32, vector<tl_object_ptr<telegram_api::Chat>>>> &&r_chats) {
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G()->ignore_result_if_closing(r_chats);
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if (r_chats.is_error()) {
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return fail_load_channel_recommendations_queries(channel_id, r_chats.move_as_error());
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}
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auto chats = r_chats.move_as_ok();
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auto total_count = chats.first;
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auto channel_ids = td_->chat_manager_->get_channel_ids(std::move(chats.second), "on_get_channel_recommendations");
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vector<DialogId> dialog_ids;
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if (total_count < static_cast<int32>(channel_ids.size())) {
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LOG(ERROR) << "Receive total_count = " << total_count << " and " << channel_ids.size() << " similar chats for "
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<< channel_id;
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total_count = static_cast<int32>(channel_ids.size());
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}
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for (auto recommended_channel_id : channel_ids) {
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auto recommended_dialog_id = DialogId(recommended_channel_id);
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td_->dialog_manager_->force_create_dialog(recommended_dialog_id, "on_get_channel_recommendations");
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if (is_suitable_recommended_channel(recommended_channel_id)) {
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dialog_ids.push_back(recommended_dialog_id);
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} else {
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total_count--;
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}
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}
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auto &recommended_dialogs = channel_recommended_dialogs_[channel_id];
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recommended_dialogs.total_count_ = total_count;
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recommended_dialogs.dialog_ids_ = dialog_ids;
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recommended_dialogs.next_reload_time_ = Time::now() + CHANNEL_RECOMMENDATIONS_CACHE_TIME;
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if (G()->use_message_database()) {
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G()->td_db()->get_sqlite_pmc()->set(get_channel_recommendations_database_key(channel_id),
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log_event_store(recommended_dialogs).as_slice().str(), Promise<Unit>());
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}
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finish_load_channel_recommendations_queries(channel_id, total_count, std::move(dialog_ids));
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}
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void ChannelRecommendationManager::open_channel_recommended_channel(DialogId dialog_id, DialogId opened_dialog_id,
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Promise<Unit> &&promise) {
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if (!td_->dialog_manager_->have_dialog_force(dialog_id, "open_channel_recommended_channel") ||
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!td_->dialog_manager_->have_dialog_force(opened_dialog_id, "open_channel_recommended_channel")) {
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return promise.set_error(Status::Error(400, "Chat not found"));
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}
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if (dialog_id.get_type() != DialogType::Channel || opened_dialog_id.get_type() != DialogType::Channel) {
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return promise.set_error(Status::Error(400, "Invalid chat specified"));
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}
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vector<telegram_api::object_ptr<telegram_api::jsonObjectValue>> data;
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data.push_back(telegram_api::make_object<telegram_api::jsonObjectValue>(
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"ref_channel_id", make_tl_object<telegram_api::jsonString>(to_string(dialog_id.get_channel_id().get()))));
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data.push_back(telegram_api::make_object<telegram_api::jsonObjectValue>(
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"open_channel_id", make_tl_object<telegram_api::jsonString>(to_string(opened_dialog_id.get_channel_id().get()))));
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save_app_log(td_, "channels.open_recommended_channel", DialogId(),
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telegram_api::make_object<telegram_api::jsonObject>(std::move(data)), std::move(promise));
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}
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} // namespace td
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