// Copyright 2024 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_HISTORY_EMBEDDINGS_CORE_HISTORY_EMBEDDINGS_FEATURES_H_
#define COMPONENTS_HISTORY_EMBEDDINGS_CORE_HISTORY_EMBEDDINGS_FEATURES_H_

#include "base/feature_list.h"
#include "base/functional/callback.h"
#include "base/metrics/field_trial_params.h"

namespace history_embeddings {

// Please use `IsHistoryEmbeddingsFeatureEnabled()` instead of using any of
// these features directly.
// See chrome/browser/history_embeddings/history_embeddings_utils.h
BASE_DECLARE_FEATURE(kHistoryEmbeddings);
BASE_DECLARE_FEATURE(kHistoryEmbeddingsAnswers);

// Contains feature configuration state. Can be set using Finch or overridden
// for testing. Prefer to use this struct instead of feature parameters
// directly so as to reduce dependency on Finch.
struct FeatureParameters {
  explicit FeatureParameters(bool load_finch);
  FeatureParameters(const FeatureParameters&);
  FeatureParameters(FeatureParameters&&);
  FeatureParameters& operator=(const FeatureParameters&);
  FeatureParameters& operator=(FeatureParameters&&);

  // Displays source passages in the UI on chrome://history for debug purposes.
  bool show_source_passages = false;

  // Number of milliseconds to wait after `DidFinishLoad` before extracting
  // passages, computing and storing their embeddings, etc. Note, the
  // extraction will only begin if no tabs are loading. If any are
  // loading then the delay is applied again to reschedule extraction.
  // To avoid CPU churn from rescheduling, keep this value well above zero.
  int passage_extraction_delay = 5000;

  // Specifies the `max_words_per_aggregate_passage` parameter for the
  // DocumentChunker passage extraction algorithm. A passage from a single
  // node can exceed this maximum, but aggregation keeps within the limit.
  int passage_extraction_max_words_per_aggregate_passage = 200;

  // The minimum number of words a query or passage must have in order to be
  // included in similarity search.
  int search_query_minimum_word_count = 2;
  int search_passage_minimum_word_count = 5;

  // The minimum number of words to gather from several passages used as
  // context for the Answerer. Top passages will be included until the sum
  // of word counts meets this minimum.
  int context_passages_minimum_word_count = 1000;

  // Specifies the number of best matching items to take from the search.
  int search_result_item_count = 3;

  // Specifies the content visibility threshold that can be shown to the user.
  // This is for safety filtering.
  double content_visibility_threshold = 0;

  // Specifies the similarity score threshold that embeddings must pass in order
  // for their results to be shown to the user. This is for general search
  // scoring and result inclusion.
  double search_score_threshold = -1;

  // Minimum word match score required to include an extra search result when
  // the total score does not meet the `search_score_threshold`.
  double search_word_match_score_threshold = 0.2;

  // Specifies whether to use the intent classifier to gate answer generation.
  bool enable_intent_classifier = true;

  // Specifies whether to use the ML intent classifier (if false, the mock is
  // used).
  bool use_ml_intent_classifier = false;

  // Specifies whether to output scores (Decoding output is skipped when
  // enabled).
  bool enable_ml_intent_classifier_score = false;

  // Specifies the delay in milliseconds to use for the mock intent classifier
  // for local development.
  int mock_intent_classifier_delay_ms = 0;

  // Specifies whether to use the ML Answerer (if false, the mock is used).
  bool use_ml_answerer = true;

  // Specifies the min score for generated answer from the ML answerer.
  double ml_answerer_min_score = 0.5;

  // Specifies the delay in milliseconds to use for the mock answerer for local
  // development.
  int mock_answerer_delay_ms = 0;

  // Specifies the answer status to use for the mock answerer for local
  // development.
  int mock_answerer_status = 2;

  // Specifies whether to show images in results for search results on the
  // chrome://history page.
  bool enable_images_for_results = false;

  // Whether history embedding results should be shown in the omnibox when in
  // the '@history' scope.
  bool omnibox_scoped = true;

  // Whether history embedding results should be shown in the omnibox when not
  // in the '@history' scope. If true, behaves as if `kOmniboxScoped` is also
  // true.
  bool omnibox_unscoped = false;

  // Whether history embedding answers should be shown in the omnibox when in
  // the '@history' scope. No-op if `kOmniboxScoped` is false.
  bool answers_in_omnibox_scoped = true;

  // Whether quality logging data should be sent.
  bool send_quality_log = true;
  bool send_quality_log_v2 = true;

  // These parameters control deletion and rebuilding of the embeddings
  // database. If `kDeleteEmbeddings` is true, the embeddings table will
  // be cleared on startup, effectively simulating a model version change.
  // If `kRebuildEmbeddings` is true (the default) then any rows in
  // the passages table without a corresponding row in the embeddings
  // table (keyed on url_id) will be queued for reprocessing by the embedder.
  bool delete_embeddings = false;
  bool rebuild_embeddings = true;

  // Whether to enable the URL filter to skip blocked URLs to improve
  // performance.
  bool use_url_filter = false;

  // Specifies whether the history clusters side panel UI also searches and
  // shows history embeddings.
  bool enable_side_panel = true;

  // Specifies whether history embedding results should show just the hostname
  // of the result's URL.
  bool trim_after_host_in_results = true;

  // The maximum number of URLs to use when building context for answerer.
  int max_answerer_context_url_count = 1;

  // These control score boosting from passage text word matching.
  // See comments for `SearchParams` struct for more details about each value.
  double word_match_min_embedding_score = 0.7;
  int word_match_min_term_length = 0;
  double word_match_score_boost_factor = 0.2;
  int word_match_limit = 5;
  int word_match_smoothing_factor = 0;
  int word_match_max_term_count = 10;
  double word_match_required_term_ratio = 1.0;

  // Whether to include scroll to text fragment directives with answer
  // citations.
  bool scroll_tags_enabled = false;

  // Whether to erase non-ASCII characters from passages before sending them to
  // the ML embedder. When false, passages are embedded without modification but
  // then will be skipped during search. When true, passages are embedded with
  // non-ASCII characters removed, but are then included in search.
  bool erase_non_ascii_characters = false;

  // Whether to use word match text search for passages containing non-ASCII
  // characters. See also `word_match_min_embedding_score`, which this bypasses.
  // Note, when `erase_non_ascii_characters` is true, this will have no effect.
  bool word_match_search_non_ascii_passages = false;
};

// Use this to apply changes for testing only while an instance lives.
// Do not instantiate multiple since that could leak side effects.
// Instead, prefer to keep changes localized within block scopes.
class ScopedFeatureParametersForTesting {
 public:
  // Changes can be affected either by passing a lambda to constructor
  // or by modifying the instance returned by `Get`.
  ScopedFeatureParametersForTesting();
  explicit ScopedFeatureParametersForTesting(
      base::OnceCallback<void(FeatureParameters&)> change_parameters);
  ~ScopedFeatureParametersForTesting();

  // Returns mutable reference to static `FeatureParameters`, which can
  // be modified safely while this instance lives.
  FeatureParameters& Get();

 private:
  static int instance_count_;
  const FeatureParameters original_parameters_;
};

// Use this to get the feature parameter configuration. This is immutable
// when running the browser.
const FeatureParameters& GetFeatureParameters();

// Use this to set the feature parameter configuration. This can only be
// done in tests.
void SetFeatureParametersForTesting(FeatureParameters parameters);

}  // namespace history_embeddings

#endif  // COMPONENTS_HISTORY_EMBEDDINGS_CORE_HISTORY_EMBEDDINGS_FEATURES_H_