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tdlight/td/telegram/ChannelRecommendationManager.cpp
levlam 723ec5a203 Improve includes.
2024-03-15 14:12:43 +03:00

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