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/*
* 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.
*/
#include "tuningfork/protobuf_util.h"
#include "tuningfork/tuningfork_extra.h"
#include "swappy/swappy.h"
#include "full/tuningfork.pb.h"
#include "full/tuningfork_clearcut_log.pb.h"
#include "full/dev_tuningfork.pb.h"
#include <sstream>
#include <jni.h>
#include <android/native_window_jni.h>
#define LOG_TAG "tftestapp"
#include "Log.h"
#include "Renderer.h"
using ::com::google::tuningfork::FidelityParams;
using ::com::google::tuningfork::Settings;
using ::com::google::tuningfork::Annotation;
using ::logs::proto::tuningfork::TuningForkLogEvent;
using ::logs::proto::tuningfork::TuningForkHistogram;
namespace proto_tf = com::google::tuningfork;
namespace tf = tuningfork;
using namespace samples;
namespace {
constexpr TFInstrumentKey TFTICK_CHOREOGRAPHER = 4;
struct HistogramSettings {
float start, end;
int nBuckets;
};
Settings TestSettings(Settings::AggregationStrategy::Submission method, int n_ticks, int n_keys,
std::vector<int> annotation_size,
const std::vector<HistogramSettings>& hists = {}) {
// Make sure we set all required fields
Settings s;
s.mutable_aggregation_strategy()->set_method(method);
s.mutable_aggregation_strategy()->set_intervalms_or_count(n_ticks);
s.mutable_aggregation_strategy()->set_max_instrumentation_keys(n_keys);
for(int i=0;i<annotation_size.size();++i)
s.mutable_aggregation_strategy()->add_annotation_enum_size(annotation_size[i]);
int i=0;
for(auto& h: hists) {
auto sh = s.add_histograms();
sh->set_bucket_min(h.start);
sh->set_bucket_max(h.end);
sh->set_n_buckets(h.nBuckets);
sh->set_instrument_key(i++);
}
return s;
}
std::string ReplaceReturns(const std::string& s) {
std::string r = s;
for (int i=0; i<r.length(); ++i) {
if (r[i]=='\n') r[i] = ',';
if (r[i]=='\r') r[i] = ' ';
}
return r;
}
std::string PrettyPrintTuningForkLogEvent(const TuningForkLogEvent& evt) {
std::stringstream eventStr;
eventStr << "TuningForkLogEvent {\n";
if (evt.has_fidelityparams()) {
FidelityParams p;
p.ParseFromArray(evt.fidelityparams().c_str(), evt.fidelityparams().length());
eventStr << " fidelityparams : " << ReplaceReturns(p.DebugString()) << "\n";
}
for (int i=0; i<evt.histograms_size(); ++i) {
auto &h = evt.histograms(i);
Annotation ann;
ann.ParseFromArray(h.annotation().c_str(), h.annotation().length());
bool first = true;
eventStr << " histogram {\n";
eventStr << " instrument_id : " << h.instrument_id() << "\n";
eventStr << " annotation : " << ReplaceReturns(ann.DebugString()) << "\n counts : ";
eventStr << "[";
for (int j=0; j<h.counts_size(); ++j) {
if (first) {
first = false;
} else {
eventStr << ",";
}
eventStr << h.counts(j);
}
eventStr << "]\n }\n";
}
if (evt.has_experiment_id()) {
eventStr << " experiment_id : " << evt.experiment_id() << "\n";
}
if (evt.has_session_id()) {
eventStr << " session_id : " << evt.session_id() << "\n";
}
if (evt.has_device_info()) {
eventStr << " device_info : {" << ReplaceReturns(evt.device_info().DebugString()) << "}\n";
}
if (evt.has_apk_package_name()) {
eventStr << " apk_package_name : " << evt.apk_package_name() << "\n";
}
if (evt.has_apk_version_code()) {
eventStr << " apk_version_code : " << evt.apk_version_code() << "\n";
}
eventStr << "}";
return eventStr.str();
}
void SplitAndLog(const std::string& s) {
std::istringstream str(s);
std::string line;
std::stringstream to_log;
const int nlines_per_log = 16;
int l = nlines_per_log;
while (std::getline(str, line, '\n')) {
to_log << line << '\n';
if(--l<=0) {
ALOGI("%s", to_log.str().c_str());
l = nlines_per_log;
to_log.str("");
}
}
if (to_log.str().length()>0)
ALOGI("%s", to_log.str().c_str());
}
void UploadCallback(const CProtobufSerialization *tuningfork_log_event) {
if(tuningfork_log_event) {
TuningForkLogEvent evt;
evt.ParseFromArray(tuningfork_log_event->bytes, tuningfork_log_event->size);
auto pp = PrettyPrintTuningForkLogEvent(evt);
SplitAndLog(pp);
}
}
static int sLevel = proto_tf::LEVEL_1;
extern "C"
void SetAnnotations() {
if(proto_tf::Level_IsValid(sLevel)) {
Annotation a;
a.set_level((proto_tf::Level)sLevel);
auto next_level = sLevel + 1;
a.set_next_level((proto_tf::Level)(next_level>proto_tf::Level_MAX?1:next_level));
auto ser = tf::CProtobufSerialization_Alloc(a);
TuningFork_setCurrentAnnotation(&ser);
tf::CProtobufSerialization_Free(&ser);
}
}
void SetFidelityParams(const CProtobufSerialization* params) {
FidelityParams p;
// Set default values
p.set_num_spheres(20);
p.set_tesselation_percent(50);
std::vector<uint8_t> params_ser(params->bytes, params->bytes + params->size);
tf::Deserialize(params_ser, p);
std::string s = p.DebugString();
ALOGI("Using FidelityParams: %s", ReplaceReturns(s).c_str());
int nSpheres = p.num_spheres();
int tesselation = p.tesselation_percent();
Renderer::getInstance()->setQuality(nSpheres, tesselation);
}
} // anonymous namespace
extern "C" {
JNIEXPORT void JNICALL
Java_com_google_tuningfork_TFTestActivity_initTuningFork(JNIEnv *env, jobject activity) {
Swappy_init(env, activity);
if (Swappy_isEnabled()) {
int defaultFPIndex = 3; // i.e. dev_tuningfork_fidelityparams_3.bin
int initialTimeoutMs = 1000;
int ultimateTimeoutMs = 100000;
TFErrorCode c = TuningFork_initFromAssetsWithSwappy(env, activity, "libnative-lib.so",
SetAnnotations, defaultFPIndex,
SetFidelityParams,
initialTimeoutMs, ultimateTimeoutMs);
if (c==TFERROR_OK) {
TuningFork_setUploadCallback(UploadCallback);
SetAnnotations();
} else {
ALOGW("Error initializing TuningFork: %d", c);
}
} else {
ALOGW("Couldn't enable Swappy. Tuning Fork is not enabled either");
}
}
JNIEXPORT void JNICALL
Java_com_google_tuningfork_TFTestActivity_onChoreographer(JNIEnv */*env*/, jclass clz, jlong /*frameTimeNanos*/) {
TuningFork_frameTick(TFTICK_CHOREOGRAPHER);
// After 600 ticks, switch to the next level
static int tick_count = 0;
++tick_count;
if(tick_count>=600) {
++sLevel;
if(sLevel>proto_tf::Level_MAX) sLevel = proto_tf::LEVEL_1;
SetAnnotations();
tick_count = 0;
}
}
JNIEXPORT void JNICALL
Java_com_google_tuningfork_TFTestActivity_resize(JNIEnv *env, jclass /*clz*/, jobject surface, jint width, jint height) {
ANativeWindow *window = ANativeWindow_fromSurface(env, surface);
Renderer::getInstance()->setWindow(window,
static_cast<int32_t>(width),
static_cast<int32_t>(height));
}
JNIEXPORT void JNICALL
Java_com_google_tuningfork_TFTestActivity_clearSurface(JNIEnv */*env*/, jclass /*clz*/ ) {
Renderer::getInstance()->setWindow(nullptr, 0, 0);
}
JNIEXPORT void JNICALL
Java_com_google_tuningfork_TFTestActivity_start(JNIEnv */*env*/, jclass /*clz*/ ) {
Renderer::getInstance()->start();
}
JNIEXPORT void JNICALL
Java_com_google_tuningfork_TFTestActivity_stop(JNIEnv */*env*/, jclass /*clz*/ ) {
Renderer::getInstance()->stop();
}
}
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