agents

-module(reflection_mechanism).
-behaviour(gen_statem).

-export([start_link/0, start_link/1]).
-export([start_introspection/1, analyze_system/2, adapt_behavior/2, 
         get_reflection_report/1, enable_continuous_reflection/1, 
         disable_continuous_reflection/1, trigger_deep_analysis/1]).
-export([init/1, callback_mode/0, terminate/3, code_change/4]).
-export([idle/3, introspection/3, system_analysis/3, pattern_recognition/3, 
         adaptation_planning/3, behavior_modification/3, validation/3, 
         continuous_monitoring/3, deep_analysis/3, reporting/3]).

-record(reflection_context, {
    system_state :: #{atom() => term()},
    process_registry :: #{pid() => #{atom() => term()}},
    message_patterns :: [term()],
    performance_metrics :: #{atom() => number()},
    error_history :: [term()],
    adaptation_history :: [term()],
    behavioral_patterns :: #{atom() => term()},
    anomalies :: [term()],
    optimization_opportunities :: [term()],
    timestamp :: erlang:timestamp()
}).

-record(reflection_data, {
    session_id :: term(),
    current_context = #reflection_context{} :: #reflection_context{},
    previous_contexts = [] :: [#reflection_context{}],
    analysis_depth = shallow :: shallow | deep | comprehensive,
    introspection_scope = local :: local | cluster | global,
    adaptation_strategy = conservative :: conservative | aggressive | experimental,
    continuous_mode = false :: boolean(),
    monitoring_interval = 5000 :: pos_integer(),
    pattern_library = #{} :: #{atom() => term()},
    adaptation_rules = [] :: [term()],
    learning_model = #{} :: #{atom() => term()},
    reflection_statistics = #{} :: #{atom() => term()},
    anomaly_detector = #{} :: #{atom() => term()},
    performance_baselines = #{} :: #{atom() => number()},
    meta_reflection_data = #{} :: #{atom() => term()},
    observers = [] :: [pid()],
    timeout = infinity :: timeout(),
    start_time :: erlang:timestamp()
}).

start_link() ->
    gen_statem:start_link(?MODULE, [], []).

start_link(Options) ->
    gen_statem:start_link(?MODULE, Options, []).

start_introspection(Pid) ->
    gen_statem:call(Pid, start_introspection).

analyze_system(Pid, Scope) ->
    gen_statem:call(Pid, {analyze_system, Scope}).

adapt_behavior(Pid, Strategy) ->
    gen_statem:call(Pid, {adapt_behavior, Strategy}).

get_reflection_report(Pid) ->
    gen_statem:call(Pid, get_reflection_report).

enable_continuous_reflection(Pid) ->
    gen_statem:call(Pid, enable_continuous_reflection).

disable_continuous_reflection(Pid) ->
    gen_statem:call(Pid, disable_continuous_reflection).

trigger_deep_analysis(Pid) ->
    gen_statem:call(Pid, trigger_deep_analysis).

init(Options) ->
    Data = #reflection_data{
        session_id = make_ref(),
        analysis_depth = proplists:get_value(depth, Options, shallow),
        introspection_scope = proplists:get_value(scope, Options, local),
        adaptation_strategy = proplists:get_value(strategy, Options, conservative),
        monitoring_interval = proplists:get_value(interval, Options, 5000),
        timeout = proplists:get_value(timeout, Options, infinity),
        start_time = erlang:timestamp(),
        pattern_library = initialize_pattern_library(),
        adaptation_rules = initialize_adaptation_rules(),
        learning_model = initialize_learning_model(),
        anomaly_detector = initialize_anomaly_detector(),
        performance_baselines = establish_performance_baselines(),
        reflection_statistics = #{
            introspection_cycles => 0,
            adaptations_applied => 0,
            anomalies_detected => 0,
            patterns_learned => 0,
            optimizations_found => 0
        }
    },
    {ok, idle, Data}.

callback_mode() -> [state_functions, state_enter].

idle(enter, _OldState, Data) ->
    case Data#reflection_data.continuous_mode of
        true ->
            {keep_state, Data, [{state_timeout, Data#reflection_data.monitoring_interval, continuous_cycle}]};
        false ->
            {keep_state, Data}
    end;
idle({call, From}, start_introspection, Data) ->
    NewData = initiate_introspection_session(Data),
    {next_state, introspection, NewData, [{reply, From, ok}]};
idle({call, From}, {analyze_system, Scope}, Data) ->
    UpdatedData = Data#reflection_data{introspection_scope = Scope},
    {next_state, system_analysis, UpdatedData, [{reply, From, ok}]};
idle({call, From}, enable_continuous_reflection, Data) ->
    ContinuousData = Data#reflection_data{continuous_mode = true},
    {keep_state, ContinuousData, 
     [{reply, From, ok}, {state_timeout, Data#reflection_data.monitoring_interval, continuous_cycle}]};
idle({call, From}, disable_continuous_reflection, Data) ->
    {keep_state, Data#reflection_data{continuous_mode = false}, [{reply, From, ok}]};
idle({call, From}, trigger_deep_analysis, Data) ->
    DeepData = Data#reflection_data{analysis_depth = comprehensive},
    {next_state, deep_analysis, DeepData, [{reply, From, ok}]};
idle(state_timeout, continuous_cycle, Data) ->
    {next_state, introspection, initiate_introspection_session(Data)};
idle(EventType, Event, Data) ->
    handle_common_events(EventType, Event, Data).

introspection(enter, _OldState, Data) ->
    IntrospectionData = perform_system_introspection(Data),
    UpdatedStats = increment_stat(introspection_cycles, Data#reflection_data.reflection_statistics),
    {next_state, system_analysis, IntrospectionData#reflection_data{reflection_statistics = UpdatedStats}};
introspection(EventType, Event, Data) ->
    handle_common_events(EventType, Event, Data).

system_analysis(enter, _OldState, Data) ->
    AnalysisData = conduct_comprehensive_analysis(Data),
    {next_state, pattern_recognition, AnalysisData};
system_analysis(EventType, Event, Data) ->
    handle_common_events(EventType, Event, Data).

pattern_recognition(enter, _OldState, Data) ->
    PatternData = recognize_behavioral_patterns(Data),
    case detect_anomalies(PatternData) of
        {anomalies_found, Anomalies} ->
            AnomalyData = record_anomalies(Anomalies, PatternData),
            UpdatedStats = increment_stat(anomalies_detected, AnomalyData#reflection_data.reflection_statistics),
            {next_state, adaptation_planning, AnomalyData#reflection_data{reflection_statistics = UpdatedStats}};
        no_anomalies ->
            {next_state, continuous_monitoring, PatternData}
    end;
pattern_recognition(EventType, Event, Data) ->
    handle_common_events(EventType, Event, Data).

adaptation_planning(enter, _OldState, Data) ->
    PlanData = formulate_adaptation_plan(Data),
    case should_apply_adaptations(PlanData) of
        true ->
            {next_state, behavior_modification, PlanData};
        false ->
            {next_state, validation, PlanData}
    end;
adaptation_planning(EventType, Event, Data) ->
    handle_common_events(EventType, Event, Data).

behavior_modification(enter, _OldState, Data) ->
    ModificationData = apply_behavioral_adaptations(Data),
    UpdatedStats = increment_stat(adaptations_applied, ModificationData#reflection_data.reflection_statistics),
    {next_state, validation, ModificationData#reflection_data{reflection_statistics = UpdatedStats}};
behavior_modification(EventType, Event, Data) ->
    handle_common_events(EventType, Event, Data).

validation(enter, _OldState, Data) ->
    ValidationData = validate_adaptations(Data),
    case ValidationData#reflection_data.continuous_mode of
        true ->
            {next_state, continuous_monitoring, ValidationData};
        false ->
            {next_state, reporting, ValidationData}
    end;
validation(EventType, Event, Data) ->
    handle_common_events(EventType, Event, Data).

continuous_monitoring(enter, _OldState, Data) ->
    case Data#reflection_data.continuous_mode of
        true ->
            {keep_state, Data, [{state_timeout, Data#reflection_data.monitoring_interval, monitor_cycle}]};
        false ->
            {next_state, reporting, Data}
    end;
continuous_monitoring(state_timeout, monitor_cycle, Data) ->
    {next_state, introspection, initiate_introspection_session(Data)};
continuous_monitoring({call, From}, disable_continuous_reflection, Data) ->
    {next_state, reporting, Data#reflection_data{continuous_mode = false}, [{reply, From, ok}]};
continuous_monitoring(EventType, Event, Data) ->
    handle_common_events(EventType, Event, Data).

deep_analysis(enter, _OldState, Data) ->
    DeepAnalysisData = perform_deep_system_analysis(Data),
    OptimizationData = identify_optimization_opportunities(DeepAnalysisData),
    LearningData = perform_meta_learning(OptimizationData),
    {next_state, reporting, LearningData};
deep_analysis(EventType, Event, Data) ->
    handle_common_events(EventType, Event, Data).

reporting(enter, _OldState, Data) ->
    ReportData = generate_reflection_report(Data),
    notify_observers(ReportData),
    case Data#reflection_data.continuous_mode of
        true ->
            {next_state, idle, ReportData};
        false ->
            {keep_state, ReportData}
    end;
reporting({call, From}, get_reflection_report, Data) ->
    Report = compile_comprehensive_report(Data),
    {keep_state, Data, [{reply, From, {ok, Report}}]};
reporting(EventType, Event, Data) ->
    handle_common_events(EventType, Event, Data).

terminate(_Reason, _State, _Data) ->
    ok.

code_change(_Vsn, State, Data, _Extra) ->
    {ok, State, Data}.

initiate_introspection_session(Data) ->
    Context = capture_current_context(),
    PreviousContexts = [Data#reflection_data.current_context | Data#reflection_data.previous_contexts],
    Data#reflection_data{
        session_id = make_ref(),
        current_context = Context,
        previous_contexts = lists:sublist(PreviousContexts, 10),
        start_time = erlang:timestamp()
    }.

perform_system_introspection(Data) ->
    SystemState = analyze_current_system_state(),
    ProcessRegistry = inspect_process_registry(Data#reflection_data.introspection_scope),
    MessagePatterns = analyze_message_patterns(),
    PerformanceMetrics = collect_performance_metrics(),
    ErrorHistory = gather_error_history(),
    
    UpdatedContext = Data#reflection_data.current_context#reflection_context{
        system_state = SystemState,
        process_registry = ProcessRegistry,
        message_patterns = MessagePatterns,
        performance_metrics = PerformanceMetrics,
        error_history = ErrorHistory,
        timestamp = erlang:timestamp()
    },
    
    Data#reflection_data{current_context = UpdatedContext}.

conduct_comprehensive_analysis(Data) ->
    Context = Data#reflection_data.current_context,
    
    BehavioralAnalysis = analyze_behavioral_trends(Context, Data#reflection_data.previous_contexts),
    PerformanceAnalysis = analyze_performance_trends(Context, Data#reflection_data.performance_baselines),
    _SystemHealthAnalysis = assess_system_health(Context),
    _ResourceUtilizationAnalysis = analyze_resource_utilization(Context),
    
    EnhancedContext = Context#reflection_context{
        behavioral_patterns = BehavioralAnalysis,
        performance_metrics = maps:merge(Context#reflection_context.performance_metrics, PerformanceAnalysis)
    },
    
    Data#reflection_data{current_context = EnhancedContext}.

recognize_behavioral_patterns(Data) ->
    Context = Data#reflection_data.current_context,
    PatternLibrary = Data#reflection_data.pattern_library,
    
    _RecognizedPatterns = apply_pattern_recognition(Context, PatternLibrary),
    NewPatterns = discover_new_patterns(Context, Data#reflection_data.previous_contexts),
    
    UpdatedPatternLibrary = update_pattern_library(PatternLibrary, NewPatterns),
    UpdatedStats = increment_stat(patterns_learned, Data#reflection_data.reflection_statistics),
    
    Data#reflection_data{
        pattern_library = UpdatedPatternLibrary,
        reflection_statistics = UpdatedStats
    }.

detect_anomalies(Data) ->
    Context = Data#reflection_data.current_context,
    AnomalyDetector = Data#reflection_data.anomaly_detector,
    Baselines = Data#reflection_data.performance_baselines,
    
    PerformanceAnomalies = detect_performance_anomalies(Context#reflection_context.performance_metrics, Baselines),
    BehavioralAnomalies = detect_behavioral_anomalies(Context#reflection_context.behavioral_patterns, AnomalyDetector),
    SystemAnomalies = detect_system_anomalies(Context#reflection_context.system_state),
    
    AllAnomalies = PerformanceAnomalies ++ BehavioralAnomalies ++ SystemAnomalies,
    
    case AllAnomalies of
        [] -> no_anomalies;
        Anomalies -> {anomalies_found, Anomalies}
    end.

formulate_adaptation_plan(Data) ->
    Context = Data#reflection_data.current_context,
    Strategy = Data#reflection_data.adaptation_strategy,
    Rules = Data#reflection_data.adaptation_rules,
    
    AdaptationPlan = generate_adaptation_strategies(Context#reflection_context.anomalies, Strategy, Rules),
    RiskAssessment = assess_adaptation_risks(AdaptationPlan),
    PrioritizedPlan = prioritize_adaptations(AdaptationPlan, RiskAssessment),
    
    Data#reflection_data{adaptation_rules = [PrioritizedPlan | Rules]}.

apply_behavioral_adaptations(Data) ->
    AdaptationPlan = hd(Data#reflection_data.adaptation_rules),
    
    AppliedAdaptations = execute_adaptations(AdaptationPlan),
    AdaptationHistory = [AppliedAdaptations | Data#reflection_data.current_context#reflection_context.adaptation_history],
    
    UpdatedContext = Data#reflection_data.current_context#reflection_context{
        adaptation_history = AdaptationHistory
    },
    
    Data#reflection_data{current_context = UpdatedContext}.

validate_adaptations(Data) ->
    Context = Data#reflection_data.current_context,
    RecentAdaptations = hd(Context#reflection_context.adaptation_history),
    
    ValidationResults = validate_adaptation_effectiveness(RecentAdaptations, Context),
    UpdatedLearningModel = update_learning_model(ValidationResults, Data#reflection_data.learning_model),
    
    Data#reflection_data{learning_model = UpdatedLearningModel}.

perform_deep_system_analysis(Data) ->
    Context = Data#reflection_data.current_context,
    
    ArchitecturalAnalysis = analyze_system_architecture(Context),
    CommunicationAnalysis = analyze_inter_process_communication(Context),
    ResourceAnalysis = perform_deep_resource_analysis(Context),
    SecurityAnalysis = analyze_security_posture(Context),
    
    ComprehensiveContext = Context#reflection_context{
        system_state = maps:merge(Context#reflection_context.system_state, #{
            architectural_analysis => ArchitecturalAnalysis,
            communication_analysis => CommunicationAnalysis,
            resource_analysis => ResourceAnalysis,
            security_analysis => SecurityAnalysis
        })
    },
    
    Data#reflection_data{current_context = ComprehensiveContext}.

identify_optimization_opportunities(Data) ->
    Context = Data#reflection_data.current_context,
    
    PerformanceOptimizations = identify_performance_optimizations(Context),
    ResourceOptimizations = identify_resource_optimizations(Context),
    ArchitecturalOptimizations = identify_architectural_optimizations(Context),
    
    AllOptimizations = PerformanceOptimizations ++ ResourceOptimizations ++ ArchitecturalOptimizations,
    UpdatedStats = increment_stat(optimizations_found, Data#reflection_data.reflection_statistics),
    
    UpdatedContext = Context#reflection_context{
        optimization_opportunities = AllOptimizations
    },
    
    Data#reflection_data{
        current_context = UpdatedContext,
        reflection_statistics = UpdatedStats
    }.

perform_meta_learning(Data) ->
    ReflectionHistory = Data#reflection_data.previous_contexts,
    LearningModel = Data#reflection_data.learning_model,
    
    MetaPatterns = extract_meta_patterns(ReflectionHistory),
    UpdatedModel = incorporate_meta_learning(MetaPatterns, LearningModel),
    MetaReflectionData = generate_meta_reflection_insights(UpdatedModel),
    
    Data#reflection_data{
        learning_model = UpdatedModel,
        meta_reflection_data = MetaReflectionData
    }.

generate_reflection_report(Data) ->
    Report = compile_comprehensive_report(Data),
    Data#reflection_data{
        meta_reflection_data = maps:put(latest_report, Report, Data#reflection_data.meta_reflection_data)
    }.

should_apply_adaptations(Data) ->
    Strategy = Data#reflection_data.adaptation_strategy,
    Anomalies = Data#reflection_data.current_context#reflection_context.anomalies,
    
    case {Strategy, length(Anomalies)} of
        {conservative, Count} when Count > 3 -> true;
        {aggressive, Count} when Count > 0 -> true;
        {experimental, _} -> true;
        _ -> false
    end.

record_anomalies(Anomalies, Data) ->
    Context = Data#reflection_data.current_context,
    UpdatedContext = Context#reflection_context{anomalies = Anomalies},
    Data#reflection_data{current_context = UpdatedContext}.

notify_observers(Data) ->
    Report = compile_comprehensive_report(Data),
    lists:foreach(fun(Observer) -> 
        Observer ! {reflection_report, Data#reflection_data.session_id, Report}
    end, Data#reflection_data.observers).

compile_comprehensive_report(Data) ->
    #{
        session_id => Data#reflection_data.session_id,
        timestamp => erlang:timestamp(),
        current_context => Data#reflection_data.current_context,
        analysis_depth => Data#reflection_data.analysis_depth,
        introspection_scope => Data#reflection_data.introspection_scope,
        adaptation_strategy => Data#reflection_data.adaptation_strategy,
        reflection_statistics => Data#reflection_data.reflection_statistics,
        meta_reflection_data => Data#reflection_data.meta_reflection_data,
        continuous_mode => Data#reflection_data.continuous_mode
    }.

capture_current_context() ->
    #reflection_context{
        system_state = #{},
        process_registry = #{},
        message_patterns = [],
        performance_metrics = #{},
        error_history = [],
        adaptation_history = [],
        behavioral_patterns = #{},
        anomalies = [],
        optimization_opportunities = [],
        timestamp = erlang:timestamp()
    }.

increment_stat(Stat, Stats) ->
    maps:update_with(Stat, fun(X) -> X + 1 end, 1, Stats).

handle_common_events({call, From}, get_reflection_report, Data) ->
    Report = compile_comprehensive_report(Data),
    {keep_state, Data, [{reply, From, {ok, Report}}]};
handle_common_events({call, From}, {adapt_behavior, Strategy}, Data) ->
    {keep_state, Data#reflection_data{adaptation_strategy = Strategy}, [{reply, From, ok}]};
handle_common_events(_EventType, _Event, _Data) ->
    {keep_state_and_data, [postpone]}.

analyze_current_system_state() -> #{}.
inspect_process_registry(_Scope) -> #{}.
analyze_message_patterns() -> [].
collect_performance_metrics() -> #{}.
gather_error_history() -> [].
analyze_behavioral_trends(_Context, _Previous) -> #{}.
analyze_performance_trends(_Context, _Baselines) -> #{}.
assess_system_health(_Context) -> ok.
analyze_resource_utilization(_Context) -> #{}.
apply_pattern_recognition(_Context, _Library) -> #{}.
discover_new_patterns(_Context, _Previous) -> [].
update_pattern_library(Library, _NewPatterns) -> Library.
detect_performance_anomalies(_Metrics, _Baselines) -> [].
detect_behavioral_anomalies(_Patterns, _Detector) -> [].
detect_system_anomalies(_State) -> [].
generate_adaptation_strategies(_Anomalies, _Strategy, _Rules) -> [].
assess_adaptation_risks(_Plan) -> low.
prioritize_adaptations(Plan, _Risk) -> Plan.
execute_adaptations(_Plan) -> [].
validate_adaptation_effectiveness(_Adaptations, _Context) -> #{}.
update_learning_model(_Results, Model) -> Model.
analyze_system_architecture(_Context) -> #{}.
analyze_inter_process_communication(_Context) -> #{}.
perform_deep_resource_analysis(_Context) -> #{}.
analyze_security_posture(_Context) -> #{}.
identify_performance_optimizations(_Context) -> [].
identify_resource_optimizations(_Context) -> [].
identify_architectural_optimizations(_Context) -> [].
extract_meta_patterns(_History) -> [].
incorporate_meta_learning(_Patterns, Model) -> Model.
generate_meta_reflection_insights(_Model) -> #{}.
initialize_pattern_library() -> #{}.
initialize_adaptation_rules() -> [].
initialize_learning_model() -> #{}.
initialize_anomaly_detector() -> #{}.
establish_performance_baselines() -> #{}.