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// Copyright 2014 The Chromium Authors
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
#include "components/variations/variations_seed_simulator.h"
#include <stdint.h>
#include <map>
#include "base/metrics/field_trial_params.h"
#include "base/strings/stringprintf.h"
#include "components/variations/client_filterable_state.h"
#include "components/variations/entropy_provider.h"
#include "components/variations/processed_study.h"
#include "components/variations/proto/layer.pb.h"
#include "components/variations/proto/study.pb.h"
#include "components/variations/proto/variations_seed.pb.h"
#include "components/variations/variations_associated_data.h"
#include "components/variations/variations_test_utils.h"
#include "testing/gtest/include/gtest/gtest.h"
namespace variations {
namespace {
constexpr int kLimitedLayerId = 101;
constexpr int kLimitedLayerMemberId = 1001;
// Creates and activates a single-group field trial with name |trial_name| and
// group |group_name| and variations |params| (if not null).
void CreateTrial(const std::string& trial_name,
const std::string& group_name,
const std::map<std::string, std::string>* params) {
base::FieldTrialList::CreateFieldTrial(trial_name, group_name);
if (params != nullptr)
base::AssociateFieldTrialParams(trial_name, group_name, *params);
base::FieldTrialList::FindFullName(trial_name);
}
// Creates and activates a single-group field trial with name |trial_name| and
// group |group_name|.
void CreateTrial(const std::string& trial_name, const std::string& group_name) {
return CreateTrial(trial_name, group_name, nullptr);
}
// Creates a study with the given |study_name| and |consistency|.
Study CreateStudy(const std::string& study_name,
Study_Consistency consistency) {
Study study;
study.set_name(study_name);
study.set_consistency(consistency);
return study;
}
// Creates a layer with the given |layer_id| with a single layer member using
// the given |layer_member_id|.
Layer CreateLimitedLayer(int layer_id, int layer_member_id) {
Layer layer;
layer.set_id(kLimitedLayerId);
layer.set_num_slots(100);
layer.set_entropy_mode(Layer_EntropyMode_LIMITED);
Layer_LayerMember* layer_member = layer.add_members();
layer_member->set_id(kLimitedLayerMemberId);
Layer_LayerMember_SlotRange* slot = layer_member->add_slots();
slot->set_start(0);
slot->set_end(99);
return layer;
}
// Adds an experiment to |study| with the specified |experiment_name| and
// |probability| values and sets it as the study's default experiment.
Study_Experiment* AddExperiment(const std::string& experiment_name,
int probability,
Study* study) {
Study_Experiment* experiment = study->add_experiment();
experiment->set_name(experiment_name);
experiment->set_probability_weight(probability);
study->set_default_experiment_name(experiment_name);
return experiment;
}
// Add an experiment param with |param_name| and |param_value| to |experiment|.
Study_Experiment_Param* AddExperimentParam(const std::string& param_name,
const std::string& param_value,
Study_Experiment* experiment) {
Study_Experiment_Param* param = experiment->add_param();
param->set_name(param_name);
param->set_value(param_value);
return param;
}
// Adds a LayerMemberReference with the given IDs to |study|.
void ConstrainToLayer(Study& study, int layer_id, int layer_member_id) {
LayerMemberReference layer_member_reference;
layer_member_reference.set_layer_id(layer_id);
layer_member_reference.set_layer_member_id(layer_member_id);
*study.mutable_layer() = layer_member_reference;
}
} // namespace
class VariationsSeedSimulatorTest : public ::testing::Test {
public:
VariationsSeedSimulatorTest() {}
VariationsSeedSimulatorTest(const VariationsSeedSimulatorTest&) = delete;
VariationsSeedSimulatorTest& operator=(const VariationsSeedSimulatorTest&) =
delete;
~VariationsSeedSimulatorTest() override {
// Ensure that the maps are cleared between tests, since they are stored as
// process singletons.
testing::ClearAllVariationIDs();
testing::ClearAllVariationParams();
}
// Simulates the differences between |seed|'s studies and the current field
// trial state, returning a string like "1 2 3", where 1 is the number of
// regular group changes, 2 is the number of "kill best effort" group changes
// and 3 is the number of "kill critical" group changes.
std::string SimulateStudyDifferences(const VariationsSeed& seed) {
auto client_state = CreateDummyClientFilterableState();
MockEntropyProviders entropy_providers({
.low_entropy = kAlwaysUseLastGroup,
.high_entropy = kAlwaysUseFirstGroup,
.limited_entropy = kAlwaysUseLastGroup,
});
return ConvertSimulationResultToString(
SimulateSeedStudies(seed, *client_state, entropy_providers));
}
// Formats |result| as a string with format "1 2 3", where 1 is the number of
// regular group changes, 2 is the number of "kill best effort" group changes
// and 3 is the number of "kill critical" group changes.
std::string ConvertSimulationResultToString(
const SeedSimulationResult& result) {
return base::StringPrintf("%d %d %d",
result.normal_group_change_count,
result.kill_best_effort_group_change_count,
result.kill_critical_group_change_count);
}
};
TEST_F(VariationsSeedSimulatorTest, PermanentNoChanges) {
CreateTrial("A", "B");
VariationsSeed seed;
*seed.add_study() = CreateStudy("A", Study_Consistency_PERMANENT);
Study* study = seed.mutable_study(0);
Study_Experiment* experiment = AddExperiment("B", 100, study);
EXPECT_EQ("0 0 0", SimulateStudyDifferences(seed));
experiment->set_type(Study_Experiment_Type_NORMAL);
EXPECT_EQ("0 0 0", SimulateStudyDifferences(seed));
experiment->set_type(Study_Experiment_Type_IGNORE_CHANGE);
EXPECT_EQ("0 0 0", SimulateStudyDifferences(seed));
experiment->set_type(Study_Experiment_Type_KILL_BEST_EFFORT);
EXPECT_EQ("0 0 0", SimulateStudyDifferences(seed));
experiment->set_type(Study_Experiment_Type_KILL_CRITICAL);
EXPECT_EQ("0 0 0", SimulateStudyDifferences(seed));
}
TEST_F(VariationsSeedSimulatorTest, PermanentGroupChange) {
CreateTrial("A", "B");
VariationsSeed seed;
*seed.add_study() = CreateStudy("A", Study_Consistency_PERMANENT);
Study* study = seed.mutable_study(0);
Study_Experiment* experiment = AddExperiment("C", 100, study);
EXPECT_EQ("1 0 0", SimulateStudyDifferences(seed));
// Changing "C" group type should not affect the type of change. (Since the
// type is evaluated for the "old" group.)
//
// Note: The current (i.e. old) group is checked for the type since that group
// is the one that should be annotated with the type when killing it.
experiment->set_type(Study_Experiment_Type_NORMAL);
EXPECT_EQ("1 0 0", SimulateStudyDifferences(seed));
experiment->set_type(Study_Experiment_Type_IGNORE_CHANGE);
EXPECT_EQ("1 0 0", SimulateStudyDifferences(seed));
experiment->set_type(Study_Experiment_Type_KILL_BEST_EFFORT);
EXPECT_EQ("1 0 0", SimulateStudyDifferences(seed));
experiment->set_type(Study_Experiment_Type_KILL_CRITICAL);
EXPECT_EQ("1 0 0", SimulateStudyDifferences(seed));
}
// The seed simulator should be able to detect group changes when a permanently
// consistent study constrained to a limited layer is configured with a
// different experiment.
TEST_F(VariationsSeedSimulatorTest,
PermanentGroupChange_StudyConstrainedToLimitedLayer) {
CreateTrial("A", "B");
VariationsSeed seed;
*seed.add_study() = CreateStudy("A", Study_Consistency_PERMANENT);
Study* study = seed.mutable_study(0);
// Adding an experiment with |google_web_experiment_id| so that the limited
// entropy provider can be used.
Study_Experiment* experiment = AddExperiment("C", 100, study);
experiment->set_google_web_experiment_id(1234);
// When a study with an experiment that's associated with a
// |google_web_experiment_id| is constrained to a layer with
// |EntropyMode.LIMITED|, it will be randomized with the limited entropy
// provider.
Layer limited_layer =
CreateLimitedLayer(kLimitedLayerId, kLimitedLayerMemberId);
ConstrainToLayer(*study, kLimitedLayerId, kLimitedLayerMemberId);
*seed.add_layers() = limited_layer;
// There is precisely one change since for trial "A", group "C" instead of
// group "B" is now selected, and this change is a normal since it's a
// group-only change.
EXPECT_EQ("1 0 0", SimulateStudyDifferences(seed));
// Changing "C" group type should not affect the type of change. This is the
// same behavior as randomizing with other entropy providers.
experiment->set_type(Study_Experiment_Type_NORMAL);
EXPECT_EQ("1 0 0", SimulateStudyDifferences(seed));
experiment->set_type(Study_Experiment_Type_IGNORE_CHANGE);
EXPECT_EQ("1 0 0", SimulateStudyDifferences(seed));
experiment->set_type(Study_Experiment_Type_KILL_BEST_EFFORT);
EXPECT_EQ("1 0 0", SimulateStudyDifferences(seed));
experiment->set_type(Study_Experiment_Type_KILL_CRITICAL);
EXPECT_EQ("1 0 0", SimulateStudyDifferences(seed));
}
TEST_F(VariationsSeedSimulatorTest, PermanentGroupChangeDueToExperimentID) {
CreateTrial("A", "B");
VariationsSeed seed;
*seed.add_study() = CreateStudy("A", Study_Consistency_PERMANENT);
Study* study = seed.mutable_study(0);
Study_Experiment* experiment_b = AddExperiment("B", 50, study);
AddExperiment("Default", 50, study);
EXPECT_EQ("0 0 0", SimulateStudyDifferences(seed));
// Adding a google_web_experiment_id will cause the low entropy provider to be
// used, causing a group change.
experiment_b->set_google_web_experiment_id(1234);
EXPECT_EQ("1 0 0", SimulateStudyDifferences(seed));
}
// The seed simulator should be able to detect group changes when a permanently
// consistent study constrained to a limited layer is given a
// |google_web_experiment_id|.
TEST_F(VariationsSeedSimulatorTest,
PermanentGroupChangeDueToExperimentID_StudyConstrainedToLimitedLayer) {
CreateTrial("A", "B");
VariationsSeed seed;
*seed.add_study() = CreateStudy("A", Study_Consistency_PERMANENT);
Study* study = seed.mutable_study(0);
Study_Experiment* experiment_b = AddExperiment("B", 50, study);
AddExperiment("Default", 50, study);
Layer limited_layer =
CreateLimitedLayer(kLimitedLayerId, kLimitedLayerMemberId);
ConstrainToLayer(*study, kLimitedLayerId, kLimitedLayerMemberId);
*seed.add_layers() = limited_layer;
// Upon receiving the seed, the client should use the limited entropy provider
// to randomize this study since it is constrained to the |limited_layer|. The
// entropy provider will select "Default" (from |kAlwaysUseLastGroup|). Thus
// the group change.
EXPECT_EQ("1 0 0", SimulateStudyDifferences(seed));
// The limited entropy provider should still be used if the study is
// associated with a Google web experiment ID. Therefore the group assignment
// is the same as above.
experiment_b->set_google_web_experiment_id(1234);
EXPECT_EQ("1 0 0", SimulateStudyDifferences(seed));
}
TEST_F(VariationsSeedSimulatorTest,
PermanentGroupChangeDueToExperimentID_NoLimitedSource) {
CreateTrial("A", "B");
VariationsSeed seed;
*seed.add_study() = CreateStudy("A", Study_Consistency_PERMANENT);
Study* study = seed.mutable_study(0);
AddExperiment("B", 50, study);
AddExperiment("Default", 50, study);
Layer limited_layer =
CreateLimitedLayer(kLimitedLayerId, kLimitedLayerMemberId);
ConstrainToLayer(*study, kLimitedLayerId, kLimitedLayerMemberId);
*seed.add_layers() = limited_layer;
auto client_state = CreateDummyClientFilterableState();
EntropyProviders entropy_providers(
"high_entropy_value", {0, 1},
/*limited_entropy_value=*/std::string_view());
auto result = ConvertSimulationResultToString(
SimulateSeedStudies(seed, *client_state, entropy_providers));
// Without a limited entropy randomization source, the study that requires the
// limited entropy provider is not assigned and therefore is skipped in the
// seed simulator.
EXPECT_EQ("0 0 0", result);
}
TEST_F(VariationsSeedSimulatorTest, SessionRandomized) {
CreateTrial("A", "B");
VariationsSeed seed;
*seed.add_study() = CreateStudy("A", Study_Consistency_SESSION);
Study* study = seed.mutable_study(0);
Study_Experiment* experiment = AddExperiment("B", 1, study);
AddExperiment("C", 1, study);
AddExperiment("D", 1, study);
// There should be no differences, since a session randomized study can result
// in any of the groups being chosen on startup.
EXPECT_EQ("0 0 0", SimulateStudyDifferences(seed));
experiment->set_type(Study_Experiment_Type_NORMAL);
EXPECT_EQ("0 0 0", SimulateStudyDifferences(seed));
experiment->set_type(Study_Experiment_Type_IGNORE_CHANGE);
EXPECT_EQ("0 0 0", SimulateStudyDifferences(seed));
experiment->set_type(Study_Experiment_Type_KILL_BEST_EFFORT);
EXPECT_EQ("0 0 0", SimulateStudyDifferences(seed));
experiment->set_type(Study_Experiment_Type_KILL_CRITICAL);
EXPECT_EQ("0 0 0", SimulateStudyDifferences(seed));
}
TEST_F(VariationsSeedSimulatorTest, SessionRandomizedGroupRemoved) {
CreateTrial("A", "B");
VariationsSeed seed;
*seed.add_study() = CreateStudy("A", Study_Consistency_SESSION);
Study* study = seed.mutable_study(0);
AddExperiment("C", 1, study);
AddExperiment("D", 1, study);
// There should be a difference since there is no group "B" in the new config.
EXPECT_EQ("1 0 0", SimulateStudyDifferences(seed));
}
TEST_F(VariationsSeedSimulatorTest, SessionRandomizedGroupProbabilityZero) {
CreateTrial("A", "B");
VariationsSeed seed;
*seed.add_study() = CreateStudy("A", Study_Consistency_SESSION);
Study* study = seed.mutable_study(0);
Study_Experiment* experiment = AddExperiment("B", 0, study);
AddExperiment("C", 1, study);
AddExperiment("D", 1, study);
// There should be a difference since group "B" has probability 0.
EXPECT_EQ("1 0 0", SimulateStudyDifferences(seed));
experiment->set_type(Study_Experiment_Type_NORMAL);
EXPECT_EQ("1 0 0", SimulateStudyDifferences(seed));
experiment->set_type(Study_Experiment_Type_IGNORE_CHANGE);
EXPECT_EQ("0 0 0", SimulateStudyDifferences(seed));
experiment->set_type(Study_Experiment_Type_KILL_BEST_EFFORT);
EXPECT_EQ("0 1 0", SimulateStudyDifferences(seed));
experiment->set_type(Study_Experiment_Type_KILL_CRITICAL);
EXPECT_EQ("0 0 1", SimulateStudyDifferences(seed));
}
TEST_F(VariationsSeedSimulatorTest, ParamsUnchanged) {
std::map<std::string, std::string> params;
params["p1"] = "x";
params["p2"] = "y";
params["p3"] = "z";
CreateTrial("A", "B", &params);
VariationsSeed seed;
*seed.add_study() = CreateStudy("A", Study_Consistency_PERMANENT);
Study* study = seed.mutable_study(0);
Study_Experiment* experiment = AddExperiment("B", 100, study);
AddExperimentParam("p2", "y", experiment);
AddExperimentParam("p1", "x", experiment);
AddExperimentParam("p3", "z", experiment);
EXPECT_EQ("0 0 0", SimulateStudyDifferences(seed));
experiment->set_type(Study_Experiment_Type_NORMAL);
EXPECT_EQ("0 0 0", SimulateStudyDifferences(seed));
experiment->set_type(Study_Experiment_Type_IGNORE_CHANGE);
EXPECT_EQ("0 0 0", SimulateStudyDifferences(seed));
experiment->set_type(Study_Experiment_Type_KILL_BEST_EFFORT);
EXPECT_EQ("0 0 0", SimulateStudyDifferences(seed));
experiment->set_type(Study_Experiment_Type_KILL_CRITICAL);
EXPECT_EQ("0 0 0", SimulateStudyDifferences(seed));
}
TEST_F(VariationsSeedSimulatorTest, ParamsChanged) {
std::map<std::string, std::string> params;
params["p1"] = "x";
params["p2"] = "y";
params["p3"] = "z";
CreateTrial("A", "B", &params);
VariationsSeed seed;
*seed.add_study() = CreateStudy("A", Study_Consistency_PERMANENT);
Study* study = seed.mutable_study(0);
Study_Experiment* experiment = AddExperiment("B", 100, study);
AddExperimentParam("p2", "test", experiment);
AddExperimentParam("p1", "x", experiment);
AddExperimentParam("p3", "z", experiment);
// The param lists differ.
EXPECT_EQ("1 0 0", SimulateStudyDifferences(seed));
experiment->set_type(Study_Experiment_Type_NORMAL);
EXPECT_EQ("1 0 0", SimulateStudyDifferences(seed));
experiment->set_type(Study_Experiment_Type_IGNORE_CHANGE);
EXPECT_EQ("0 0 0", SimulateStudyDifferences(seed));
experiment->set_type(Study_Experiment_Type_KILL_BEST_EFFORT);
EXPECT_EQ("0 1 0", SimulateStudyDifferences(seed));
experiment->set_type(Study_Experiment_Type_KILL_CRITICAL);
EXPECT_EQ("0 0 1", SimulateStudyDifferences(seed));
}
TEST_F(VariationsSeedSimulatorTest, ParamsRemoved) {
std::map<std::string, std::string> params;
params["p1"] = "x";
params["p2"] = "y";
params["p3"] = "z";
CreateTrial("A", "B", &params);
VariationsSeed seed;
*seed.add_study() = CreateStudy("A", Study_Consistency_PERMANENT);
Study* study = seed.mutable_study(0);
Study_Experiment* experiment = AddExperiment("B", 100, study);
// The current group has params, but the new config doesn't have any.
EXPECT_EQ("1 0 0", SimulateStudyDifferences(seed));
experiment->set_type(Study_Experiment_Type_NORMAL);
EXPECT_EQ("1 0 0", SimulateStudyDifferences(seed));
experiment->set_type(Study_Experiment_Type_IGNORE_CHANGE);
EXPECT_EQ("0 0 0", SimulateStudyDifferences(seed));
experiment->set_type(Study_Experiment_Type_KILL_BEST_EFFORT);
EXPECT_EQ("0 1 0", SimulateStudyDifferences(seed));
experiment->set_type(Study_Experiment_Type_KILL_CRITICAL);
EXPECT_EQ("0 0 1", SimulateStudyDifferences(seed));
}
TEST_F(VariationsSeedSimulatorTest, ParamsAdded) {
CreateTrial("A", "B");
VariationsSeed seed;
*seed.add_study() = CreateStudy("A", Study_Consistency_PERMANENT);
Study* study = seed.mutable_study(0);
Study_Experiment* experiment = AddExperiment("B", 100, study);
AddExperimentParam("p2", "y", experiment);
AddExperimentParam("p1", "x", experiment);
AddExperimentParam("p3", "z", experiment);
// The current group has no params, but the config has added some.
EXPECT_EQ("1 0 0", SimulateStudyDifferences(seed));
experiment->set_type(Study_Experiment_Type_NORMAL);
EXPECT_EQ("1 0 0", SimulateStudyDifferences(seed));
experiment->set_type(Study_Experiment_Type_IGNORE_CHANGE);
EXPECT_EQ("0 0 0", SimulateStudyDifferences(seed));
experiment->set_type(Study_Experiment_Type_KILL_BEST_EFFORT);
EXPECT_EQ("0 1 0", SimulateStudyDifferences(seed));
experiment->set_type(Study_Experiment_Type_KILL_CRITICAL);
EXPECT_EQ("0 0 1", SimulateStudyDifferences(seed));
}
} // namespace variations