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// Copyright 2023 The Chromium Authors
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
#ifndef COMPONENTS_WEBAPPS_BROWSER_INSTALLABLE_ML_INSTALL_RESULT_REPORTER_H_
#define COMPONENTS_WEBAPPS_BROWSER_INSTALLABLE_ML_INSTALL_RESULT_REPORTER_H_
#include <optional>
#include "base/memory/weak_ptr.h"
#include "components/segmentation_platform/public/trigger.h"
#include "components/webapps/browser/installable/installable_metrics.h"
#include "url/gurl.h"
namespace content {
class BrowserContext;
}
namespace webapps {
enum class MlInstallUserResponse;
// This class is responsible for reporting the result of the Ml installation
// classification prediction and updating any guardrail metrics if applicable.
//
// This class is expected to be destroyed when a navigation occurs, or anything
// else that would invalidate a given WebContents from being installable.
//
// On destruction, if no result was reported, the result "ignored" is sent to
// classification (or, if the guardrail was applied, "blocked by guardrails").
//
// The reason the 'guardrail' result is only reported when this class is
// destroyed is that this allows any user-initiated installation to still
// possibly occur & report a real result to classification.
class MlInstallResultReporter {
public:
// Public for tests. Reported to UMA, do not change values.
enum class MlInstallResponse {
kAccepted = 0,
kIgnored = 1,
kCancelled = 2,
kBlockedGuardrails = 3,
kReporterDestroyed = 4,
kMaxValue = kReporterDestroyed
};
MlInstallResultReporter(
base::WeakPtr<content::BrowserContext> browser_context,
segmentation_platform::TrainingRequestId training_request,
std::string ml_output_label,
const GURL& manifest_id,
bool ml_promotion_blocked_by_guardrail);
~MlInstallResultReporter();
const std::string& output_label() const;
bool ml_promotion_blocked_by_guardrail() const;
// Called when attached to an MlInstallOperationTracker.
void OnInstallTrackerAttached(WebappInstallSource install_source);
// Called to report If this installation has an ML result on it (via
// construction OR via OnMlResult call), then this function will report the
// result to the ml training api, update guardrails if applicable, and emit
// the UMA. This can only be called once, and subsequent calls are ignored.
void ReportResult(WebappInstallSource install_source,
MlInstallUserResponse response);
private:
void ReportResultInternal(std::optional<WebappInstallSource> source,
MlInstallResponse response);
const base::WeakPtr<content::BrowserContext> browser_context_;
const segmentation_platform::TrainingRequestId training_request_;
std::string ml_output_label_;
const GURL manifest_id_;
bool ml_promotion_blocked_by_guardrail_;
bool reported_ = false;
std::optional<WebappInstallSource> install_source_attached_ = std::nullopt;
};
} // namespace webapps
#endif // COMPONENTS_WEBAPPS_BROWSER_INSTALLABLE_ML_INSTALL_RESULT_REPORTER_H_
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