use std::collections::{BTreeMap, HashMap};

use axum::http::HeaderMap;
use chrono::{DateTime, Duration, NaiveDate, Utc};
use loco_rs::prelude::*;
use sea_orm::{
    ActiveModelTrait, ColumnTrait, EntityTrait, PaginatorTrait, QueryFilter, QueryOrder,
    QuerySelect, Set,
};
use serde::Serialize;

use crate::models::_entities::{content_events, posts, query_events};

const EVENT_TYPE_SEARCH: &str = "search";
const EVENT_TYPE_AI_QUESTION: &str = "ai_question";
pub const CONTENT_EVENT_PAGE_VIEW: &str = "page_view";
pub const CONTENT_EVENT_READ_PROGRESS: &str = "read_progress";
pub const CONTENT_EVENT_READ_COMPLETE: &str = "read_complete";

#[derive(Clone, Debug, Default)]
pub struct QueryEventRequestContext {
    pub request_path: Option<String>,
    pub referrer: Option<String>,
    pub user_agent: Option<String>,
}

#[derive(Clone, Debug)]
pub struct QueryEventDraft {
    pub event_type: String,
    pub query_text: String,
    pub request_context: QueryEventRequestContext,
    pub result_count: Option<i32>,
    pub success: Option<bool>,
    pub response_mode: Option<String>,
    pub provider: Option<String>,
    pub chat_model: Option<String>,
    pub latency_ms: Option<i32>,
}

#[derive(Clone, Debug, Default)]
pub struct ContentEventRequestContext {
    pub path: Option<String>,
    pub referrer: Option<String>,
    pub user_agent: Option<String>,
}

#[derive(Clone, Debug)]
pub struct ContentEventDraft {
    pub event_type: String,
    pub path: String,
    pub post_slug: Option<String>,
    pub session_id: Option<String>,
    pub request_context: ContentEventRequestContext,
    pub duration_ms: Option<i32>,
    pub progress_percent: Option<i32>,
    pub metadata: Option<serde_json::Value>,
}

#[derive(Clone, Debug, Serialize)]
pub struct AnalyticsOverview {
    pub total_searches: u64,
    pub total_ai_questions: u64,
    pub searches_last_24h: u64,
    pub ai_questions_last_24h: u64,
    pub searches_last_7d: u64,
    pub ai_questions_last_7d: u64,
    pub unique_search_terms_last_7d: usize,
    pub unique_ai_questions_last_7d: usize,
    pub avg_search_results_last_7d: f64,
    pub avg_ai_latency_ms_last_7d: Option<f64>,
}

#[derive(Clone, Debug, Serialize)]
pub struct ContentAnalyticsOverview {
    pub total_page_views: u64,
    pub page_views_last_24h: u64,
    pub page_views_last_7d: u64,
    pub total_read_completes: u64,
    pub read_completes_last_7d: u64,
    pub avg_read_progress_last_7d: f64,
    pub avg_read_duration_ms_last_7d: Option<f64>,
}

#[derive(Clone, Debug, Serialize)]
pub struct AnalyticsTopQuery {
    pub query: String,
    pub count: u64,
    pub last_seen_at: String,
}

#[derive(Clone, Debug, Serialize)]
pub struct AnalyticsRecentEvent {
    pub id: i32,
    pub event_type: String,
    pub query: String,
    pub result_count: Option<i32>,
    pub success: Option<bool>,
    pub response_mode: Option<String>,
    pub provider: Option<String>,
    pub chat_model: Option<String>,
    pub latency_ms: Option<i32>,
    pub created_at: String,
}

#[derive(Clone, Debug, Serialize)]
pub struct AnalyticsProviderBucket {
    pub provider: String,
    pub count: u64,
}

#[derive(Clone, Debug, Serialize)]
pub struct AnalyticsReferrerBucket {
    pub referrer: String,
    pub count: u64,
}

#[derive(Clone, Debug, Serialize)]
pub struct AnalyticsPopularPost {
    pub slug: String,
    pub title: String,
    pub page_views: u64,
    pub read_completes: u64,
    pub avg_progress_percent: f64,
    pub avg_duration_ms: Option<f64>,
}

#[derive(Clone, Debug, Serialize)]
pub struct AnalyticsDailyBucket {
    pub date: String,
    pub searches: u64,
    pub ai_questions: u64,
}

#[derive(Clone, Debug, Serialize)]
pub struct AdminAnalyticsResponse {
    pub overview: AnalyticsOverview,
    pub content_overview: ContentAnalyticsOverview,
    pub top_search_terms: Vec<AnalyticsTopQuery>,
    pub top_ai_questions: Vec<AnalyticsTopQuery>,
    pub recent_events: Vec<AnalyticsRecentEvent>,
    pub providers_last_7d: Vec<AnalyticsProviderBucket>,
    pub top_referrers: Vec<AnalyticsReferrerBucket>,
    pub ai_referrers_last_7d: Vec<AnalyticsReferrerBucket>,
    pub ai_discovery_page_views_last_7d: u64,
    pub popular_posts: Vec<AnalyticsPopularPost>,
    pub daily_activity: Vec<AnalyticsDailyBucket>,
}

#[derive(Clone, Debug, Serialize)]
pub struct PublicContentHighlights {
    pub overview: ContentAnalyticsOverview,
    pub popular_posts: Vec<AnalyticsPopularPost>,
}

#[derive(Clone, Debug, Serialize)]
pub struct PublicContentWindowOverview {
    pub page_views: u64,
    pub read_completes: u64,
    pub avg_read_progress: f64,
    pub avg_read_duration_ms: Option<f64>,
}

#[derive(Clone, Debug, Serialize)]
pub struct PublicContentWindowHighlights {
    pub key: String,
    pub label: String,
    pub days: i32,
    pub overview: PublicContentWindowOverview,
    pub popular_posts: Vec<AnalyticsPopularPost>,
}

#[derive(Clone, Debug)]
struct QueryAggregate {
    query: String,
    count: u64,
    last_seen_at: DateTime<Utc>,
}

fn trim_to_option(value: Option<String>) -> Option<String> {
    value.and_then(|item| {
        let trimmed = item.trim().to_string();
        if trimmed.is_empty() {
            None
        } else {
            Some(trimmed)
        }
    })
}

fn normalize_query(value: &str) -> String {
    value
        .split_whitespace()
        .collect::<Vec<_>>()
        .join(" ")
        .to_lowercase()
}

fn format_timestamp(value: DateTime<Utc>) -> String {
    value.format("%Y-%m-%d %H:%M").to_string()
}

fn metadata_string(metadata: Option<&serde_json::Value>, key: &str) -> Option<String> {
    metadata
        .and_then(|value| value.get(key))
        .and_then(|value| value.as_str())
        .map(ToString::to_string)
        .and_then(|value| trim_to_option(Some(value)))
}

fn parse_path_query_value(path: Option<&str>, key: &str) -> Option<String> {
    let path = path.and_then(|value| trim_to_option(Some(value.to_string())))?;
    let synthetic_url = if path.starts_with("http://") || path.starts_with("https://") {
        path
    } else if path.starts_with('/') {
        format!("https://local.test{path}")
    } else {
        format!("https://local.test/{path}")
    };

    reqwest::Url::parse(&synthetic_url)
        .ok()
        .and_then(|url| {
            url.query_pairs()
                .find(|(item_key, _)| item_key == key)
                .map(|(_, value)| value.to_string())
        })
        .and_then(|value| trim_to_option(Some(value)))
}

fn normalize_tracking_source_token(value: Option<String>) -> String {
    let Some(value) = trim_to_option(value) else {
        return "direct".to_string();
    };

    let normalized = reqwest::Url::parse(&value)
        .ok()
        .and_then(|url| url.host_str().map(ToString::to_string))
        .filter(|item| !item.trim().is_empty())
        .unwrap_or(value)
        .trim()
        .to_ascii_lowercase();

    match normalized.as_str() {
        "direct" => "direct".to_string(),
        value if value.contains("chatgpt") || value.contains("openai") => {
            "chatgpt-search".to_string()
        }
        value if value.contains("perplexity") => "perplexity".to_string(),
        value if value.contains("copilot") || value.contains("bing") => "copilot-bing".to_string(),
        value if value.contains("gemini") => "gemini".to_string(),
        value if value.contains("google") => "google".to_string(),
        value if value.contains("claude") => "claude".to_string(),
        value if value.contains("duckduckgo") => "duckduckgo".to_string(),
        value if value.contains("kagi") => "kagi".to_string(),
        _ => normalized,
    }
}

fn normalize_tracking_source(
    path: Option<&str>,
    referrer: Option<String>,
    metadata: Option<&serde_json::Value>,
) -> String {
    let preferred = metadata_string(metadata, "landingSource")
        .or_else(|| metadata_string(metadata, "landing_source"))
        .or_else(|| metadata_string(metadata, "utmSource"))
        .or_else(|| metadata_string(metadata, "utm_source"))
        .or_else(|| parse_path_query_value(path, "utm_source"))
        .or_else(|| metadata_string(metadata, "referrerHost"))
        .or_else(|| referrer);

    normalize_tracking_source_token(preferred)
}

fn is_ai_discovery_source(value: &str) -> bool {
    matches!(
        value,
        "chatgpt-search" | "perplexity" | "copilot-bing" | "gemini" | "claude"
    )
}

fn sorted_referrer_buckets(
    breakdown: &HashMap<String, u64>,
    predicate: impl Fn(&str) -> bool,
    limit: usize,
) -> Vec<AnalyticsReferrerBucket> {
    let mut items = breakdown
        .iter()
        .filter_map(|(referrer, count)| {
            predicate(referrer).then(|| AnalyticsReferrerBucket {
                referrer: referrer.clone(),
                count: *count,
            })
        })
        .collect::<Vec<_>>();

    items.sort_by(|left, right| {
        right
            .count
            .cmp(&left.count)
            .then_with(|| left.referrer.cmp(&right.referrer))
    });
    items.truncate(limit);
    items
}

fn header_value(headers: &HeaderMap, key: &str) -> Option<String> {
    headers
        .get(key)
        .and_then(|value| value.to_str().ok())
        .map(ToString::to_string)
        .and_then(|value| trim_to_option(Some(value)))
}

fn clamp_latency(latency_ms: i64) -> i32 {
    latency_ms.clamp(0, i64::from(i32::MAX)) as i32
}

fn clamp_percentage(value: i32) -> i32 {
    value.clamp(0, 100)
}

fn build_query_aggregates(
    events: &[query_events::Model],
    wanted_type: &str,
) -> Vec<QueryAggregate> {
    let mut grouped: HashMap<String, QueryAggregate> = HashMap::new();

    for event in events
        .iter()
        .filter(|event| event.event_type == wanted_type)
    {
        let entry = grouped
            .entry(event.normalized_query.clone())
            .or_insert_with(|| QueryAggregate {
                query: event.query_text.clone(),
                count: 0,
                last_seen_at: event.created_at.into(),
            });

        entry.count += 1;

        let created_at = DateTime::<Utc>::from(event.created_at);
        if created_at >= entry.last_seen_at {
            entry.query = event.query_text.clone();
            entry.last_seen_at = created_at;
        }
    }

    let mut items = grouped.into_values().collect::<Vec<_>>();
    items.sort_by(|left, right| {
        right
            .count
            .cmp(&left.count)
            .then_with(|| right.last_seen_at.cmp(&left.last_seen_at))
    });
    items
}

fn aggregate_queries(
    events: &[query_events::Model],
    wanted_type: &str,
    limit: usize,
) -> (usize, Vec<AnalyticsTopQuery>) {
    let aggregates = build_query_aggregates(events, wanted_type);
    let total_unique = aggregates.len();
    let items = aggregates
        .into_iter()
        .take(limit)
        .map(|item| AnalyticsTopQuery {
            query: item.query,
            count: item.count,
            last_seen_at: format_timestamp(item.last_seen_at),
        })
        .collect::<Vec<_>>();

    (total_unique, items)
}

pub fn request_context_from_headers(path: &str, headers: &HeaderMap) -> QueryEventRequestContext {
    QueryEventRequestContext {
        request_path: trim_to_option(Some(path.to_string())),
        referrer: header_value(headers, "referer"),
        user_agent: header_value(headers, "user-agent"),
    }
}

pub fn content_request_context_from_headers(
    path: &str,
    headers: &HeaderMap,
) -> ContentEventRequestContext {
    ContentEventRequestContext {
        path: trim_to_option(Some(path.to_string())),
        referrer: header_value(headers, "referer"),
        user_agent: header_value(headers, "user-agent"),
    }
}

pub async fn record_event(ctx: &AppContext, draft: QueryEventDraft) {
    let query_text = draft.query_text.trim().to_string();
    if query_text.is_empty() {
        return;
    }

    let active_model = query_events::ActiveModel {
        event_type: Set(draft.event_type),
        query_text: Set(query_text.clone()),
        normalized_query: Set(normalize_query(&query_text)),
        request_path: Set(trim_to_option(draft.request_context.request_path)),
        referrer: Set(trim_to_option(draft.request_context.referrer)),
        user_agent: Set(trim_to_option(draft.request_context.user_agent)),
        result_count: Set(draft.result_count),
        success: Set(draft.success),
        response_mode: Set(trim_to_option(draft.response_mode)),
        provider: Set(trim_to_option(draft.provider)),
        chat_model: Set(trim_to_option(draft.chat_model)),
        latency_ms: Set(draft.latency_ms.map(|value| value.max(0))),
        ..Default::default()
    };

    if let Err(error) = active_model.insert(&ctx.db).await {
        tracing::warn!("failed to record query analytics event: {error}");
    }
}

pub async fn record_content_event(ctx: &AppContext, draft: ContentEventDraft) {
    let path = draft.path.trim().to_string();
    if path.is_empty() {
        return;
    }

    let event_type = draft.event_type.trim().to_ascii_lowercase();
    if !matches!(
        event_type.as_str(),
        CONTENT_EVENT_PAGE_VIEW | CONTENT_EVENT_READ_PROGRESS | CONTENT_EVENT_READ_COMPLETE
    ) {
        return;
    }

    let active_model = content_events::ActiveModel {
        event_type: Set(event_type),
        path: Set(path),
        post_slug: Set(trim_to_option(draft.post_slug)),
        session_id: Set(trim_to_option(draft.session_id)),
        referrer: Set(trim_to_option(draft.request_context.referrer)),
        user_agent: Set(trim_to_option(draft.request_context.user_agent)),
        duration_ms: Set(draft.duration_ms.map(|value| value.max(0))),
        progress_percent: Set(draft.progress_percent.map(clamp_percentage)),
        metadata: Set(draft.metadata),
        ..Default::default()
    };

    if let Err(error) = active_model.insert(&ctx.db).await {
        tracing::warn!("failed to record content analytics event: {error}");
    }
}

pub async fn record_search_event(
    ctx: &AppContext,
    query_text: &str,
    result_count: usize,
    headers: &HeaderMap,
    latency_ms: i64,
) {
    record_event(
        ctx,
        QueryEventDraft {
            event_type: EVENT_TYPE_SEARCH.to_string(),
            query_text: query_text.to_string(),
            request_context: request_context_from_headers("/api/search", headers),
            result_count: Some(result_count.min(i32::MAX as usize) as i32),
            success: Some(true),
            response_mode: None,
            provider: None,
            chat_model: None,
            latency_ms: Some(clamp_latency(latency_ms)),
        },
    )
    .await;
}

pub async fn record_ai_question_event(
    ctx: &AppContext,
    question: &str,
    headers: &HeaderMap,
    success: bool,
    response_mode: &str,
    provider: Option<String>,
    chat_model: Option<String>,
    result_count: Option<usize>,
    latency_ms: i64,
) {
    record_event(
        ctx,
        QueryEventDraft {
            event_type: EVENT_TYPE_AI_QUESTION.to_string(),
            query_text: question.to_string(),
            request_context: request_context_from_headers(
                if response_mode == "stream" {
                    "/api/ai/ask/stream"
                } else {
                    "/api/ai/ask"
                },
                headers,
            ),
            result_count: result_count.map(|value| value.min(i32::MAX as usize) as i32),
            success: Some(success),
            response_mode: Some(response_mode.to_string()),
            provider,
            chat_model,
            latency_ms: Some(clamp_latency(latency_ms)),
        },
    )
    .await;
}

pub async fn build_admin_analytics(ctx: &AppContext) -> Result<AdminAnalyticsResponse> {
    let now = Utc::now();
    let since_24h = now - Duration::hours(24);
    let since_7d = now - Duration::days(7);

    let total_searches = query_events::Entity::find()
        .filter(query_events::Column::EventType.eq(EVENT_TYPE_SEARCH))
        .count(&ctx.db)
        .await?;
    let total_ai_questions = query_events::Entity::find()
        .filter(query_events::Column::EventType.eq(EVENT_TYPE_AI_QUESTION))
        .count(&ctx.db)
        .await?;

    let searches_last_24h = query_events::Entity::find()
        .filter(query_events::Column::EventType.eq(EVENT_TYPE_SEARCH))
        .filter(query_events::Column::CreatedAt.gte(since_24h))
        .count(&ctx.db)
        .await?;
    let ai_questions_last_24h = query_events::Entity::find()
        .filter(query_events::Column::EventType.eq(EVENT_TYPE_AI_QUESTION))
        .filter(query_events::Column::CreatedAt.gte(since_24h))
        .count(&ctx.db)
        .await?;
    let total_page_views = content_events::Entity::find()
        .filter(content_events::Column::EventType.eq(CONTENT_EVENT_PAGE_VIEW))
        .count(&ctx.db)
        .await?;
    let total_read_completes = content_events::Entity::find()
        .filter(content_events::Column::EventType.eq(CONTENT_EVENT_READ_COMPLETE))
        .count(&ctx.db)
        .await?;

    let last_7d_events = query_events::Entity::find()
        .filter(query_events::Column::CreatedAt.gte(since_7d))
        .order_by_desc(query_events::Column::CreatedAt)
        .all(&ctx.db)
        .await?;
    let last_7d_content_events = content_events::Entity::find()
        .filter(content_events::Column::CreatedAt.gte(since_7d))
        .order_by_desc(content_events::Column::CreatedAt)
        .all(&ctx.db)
        .await?;

    let searches_last_7d = last_7d_events
        .iter()
        .filter(|event| event.event_type == EVENT_TYPE_SEARCH)
        .count() as u64;
    let ai_questions_last_7d = last_7d_events
        .iter()
        .filter(|event| event.event_type == EVENT_TYPE_AI_QUESTION)
        .count() as u64;

    let (unique_search_terms_last_7d, top_search_terms) =
        aggregate_queries(&last_7d_events, EVENT_TYPE_SEARCH, 8);
    let (unique_ai_questions_last_7d, top_ai_questions) =
        aggregate_queries(&last_7d_events, EVENT_TYPE_AI_QUESTION, 8);

    let mut provider_breakdown: HashMap<String, u64> = HashMap::new();
    let mut daily_map: BTreeMap<NaiveDate, (u64, u64)> = BTreeMap::new();
    let mut total_search_results = 0.0_f64;
    let mut counted_search_results = 0_u64;
    let mut total_ai_latency = 0.0_f64;
    let mut counted_ai_latency = 0_u64;
    let mut referrer_breakdown: HashMap<String, u64> = HashMap::new();
    let mut total_read_progress = 0.0_f64;
    let mut counted_read_progress = 0_u64;
    let mut total_read_duration = 0.0_f64;
    let mut counted_read_duration = 0_u64;
    let mut page_views_last_24h = 0_u64;
    let mut page_views_last_7d = 0_u64;
    let mut read_completes_last_7d = 0_u64;

    for offset in 0..7 {
        let date = (now - Duration::days(offset)).date_naive();
        daily_map.entry(date).or_insert((0, 0));
    }

    for event in &last_7d_events {
        let day = DateTime::<Utc>::from(event.created_at).date_naive();
        let entry = daily_map.entry(day).or_insert((0, 0));

        if event.event_type == EVENT_TYPE_SEARCH {
            entry.0 += 1;
            if let Some(result_count) = event.result_count {
                total_search_results += f64::from(result_count.max(0));
                counted_search_results += 1;
            }
            continue;
        }

        if event.event_type == EVENT_TYPE_AI_QUESTION {
            entry.1 += 1;

            let provider = event
                .provider
                .clone()
                .filter(|value| !value.trim().is_empty())
                .unwrap_or_else(|| "local-or-unspecified".to_string());
            *provider_breakdown.entry(provider).or_insert(0) += 1;

            if let Some(latency_ms) = event.latency_ms {
                total_ai_latency += f64::from(latency_ms.max(0));
                counted_ai_latency += 1;
            }
        }
    }

    let post_titles = posts::Entity::find()
        .all(&ctx.db)
        .await?
        .into_iter()
        .map(|post| {
            (
                post.slug,
                post.title.unwrap_or_else(|| "Untitled post".to_string()),
            )
        })
        .collect::<HashMap<_, _>>();

    let mut post_breakdown: HashMap<String, (u64, u64, f64, u64, f64, u64)> = HashMap::new();

    for event in &last_7d_content_events {
        let created_at = DateTime::<Utc>::from(event.created_at);

        if event.event_type == CONTENT_EVENT_PAGE_VIEW {
            page_views_last_7d += 1;
            if created_at >= since_24h {
                page_views_last_24h += 1;
            }

            let referrer = normalize_tracking_source(
                Some(&event.path),
                event.referrer.clone(),
                event.metadata.as_ref(),
            );
            *referrer_breakdown.entry(referrer).or_insert(0) += 1;
        }

        if event.event_type == CONTENT_EVENT_READ_COMPLETE {
            read_completes_last_7d += 1;
        }

        if matches!(
            event.event_type.as_str(),
            CONTENT_EVENT_READ_PROGRESS | CONTENT_EVENT_READ_COMPLETE
        ) {
            let progress = event.progress_percent.unwrap_or({
                if event.event_type == CONTENT_EVENT_READ_COMPLETE {
                    100
                } else {
                    0
                }
            });
            if progress > 0 {
                total_read_progress += f64::from(progress);
                counted_read_progress += 1;
            }

            if let Some(duration_ms) = event.duration_ms.filter(|value| *value >= 0) {
                total_read_duration += f64::from(duration_ms);
                counted_read_duration += 1;
            }
        }

        let Some(post_slug) = event
            .post_slug
            .as_deref()
            .map(str::trim)
            .filter(|value| !value.is_empty())
            .map(ToString::to_string)
        else {
            continue;
        };

        let entry = post_breakdown
            .entry(post_slug)
            .or_insert((0, 0, 0.0, 0, 0.0, 0));

        if event.event_type == CONTENT_EVENT_PAGE_VIEW {
            entry.0 += 1;
        }

        if event.event_type == CONTENT_EVENT_READ_COMPLETE {
            entry.1 += 1;
        }

        if matches!(
            event.event_type.as_str(),
            CONTENT_EVENT_READ_PROGRESS | CONTENT_EVENT_READ_COMPLETE
        ) {
            let progress = event.progress_percent.unwrap_or({
                if event.event_type == CONTENT_EVENT_READ_COMPLETE {
                    100
                } else {
                    0
                }
            });
            if progress > 0 {
                entry.2 += f64::from(progress);
                entry.3 += 1;
            }

            if let Some(duration_ms) = event.duration_ms.filter(|value| *value >= 0) {
                entry.4 += f64::from(duration_ms);
                entry.5 += 1;
            }
        }
    }

    let mut providers_last_7d = provider_breakdown
        .into_iter()
        .map(|(provider, count)| AnalyticsProviderBucket { provider, count })
        .collect::<Vec<_>>();
    providers_last_7d.sort_by(|left, right| {
        right
            .count
            .cmp(&left.count)
            .then_with(|| left.provider.cmp(&right.provider))
    });
    providers_last_7d.truncate(6);

    let top_referrers = sorted_referrer_buckets(&referrer_breakdown, |_| true, 8);
    let ai_referrers_last_7d =
        sorted_referrer_buckets(&referrer_breakdown, is_ai_discovery_source, 6);
    let ai_discovery_page_views_last_7d = referrer_breakdown
        .iter()
        .filter(|(referrer, _)| is_ai_discovery_source(referrer))
        .map(|(_, count)| *count)
        .sum::<u64>();

    let mut popular_posts = post_breakdown
        .into_iter()
        .map(
            |(
                slug,
                (
                    page_views,
                    read_completes,
                    total_progress,
                    progress_count,
                    total_duration,
                    duration_count,
                ),
            )| {
                AnalyticsPopularPost {
                    title: post_titles
                        .get(&slug)
                        .cloned()
                        .unwrap_or_else(|| slug.clone()),
                    slug,
                    page_views,
                    read_completes,
                    avg_progress_percent: if progress_count > 0 {
                        total_progress / progress_count as f64
                    } else {
                        0.0
                    },
                    avg_duration_ms: (duration_count > 0)
                        .then(|| total_duration / duration_count as f64),
                }
            },
        )
        .collect::<Vec<_>>();
    popular_posts.sort_by(|left, right| {
        right
            .page_views
            .cmp(&left.page_views)
            .then_with(|| right.read_completes.cmp(&left.read_completes))
            .then_with(|| left.slug.cmp(&right.slug))
    });
    popular_posts.truncate(10);

    let mut daily_activity = daily_map
        .into_iter()
        .map(|(date, (searches, ai_questions))| AnalyticsDailyBucket {
            date: date.format("%Y-%m-%d").to_string(),
            searches,
            ai_questions,
        })
        .collect::<Vec<_>>();
    daily_activity.sort_by(|left, right| left.date.cmp(&right.date));

    let recent_events = query_events::Entity::find()
        .order_by_desc(query_events::Column::CreatedAt)
        .limit(24)
        .all(&ctx.db)
        .await?
        .into_iter()
        .map(|event| AnalyticsRecentEvent {
            id: event.id,
            event_type: event.event_type,
            query: event.query_text,
            result_count: event.result_count,
            success: event.success,
            response_mode: event.response_mode,
            provider: event.provider,
            chat_model: event.chat_model,
            latency_ms: event.latency_ms,
            created_at: format_timestamp(event.created_at.into()),
        })
        .collect::<Vec<_>>();

    Ok(AdminAnalyticsResponse {
        overview: AnalyticsOverview {
            total_searches,
            total_ai_questions,
            searches_last_24h,
            ai_questions_last_24h,
            searches_last_7d,
            ai_questions_last_7d,
            unique_search_terms_last_7d,
            unique_ai_questions_last_7d,
            avg_search_results_last_7d: if counted_search_results > 0 {
                total_search_results / counted_search_results as f64
            } else {
                0.0
            },
            avg_ai_latency_ms_last_7d: (counted_ai_latency > 0)
                .then(|| total_ai_latency / counted_ai_latency as f64),
        },
        content_overview: ContentAnalyticsOverview {
            total_page_views,
            page_views_last_24h,
            page_views_last_7d,
            total_read_completes,
            read_completes_last_7d,
            avg_read_progress_last_7d: if counted_read_progress > 0 {
                total_read_progress / counted_read_progress as f64
            } else {
                0.0
            },
            avg_read_duration_ms_last_7d: (counted_read_duration > 0)
                .then(|| total_read_duration / counted_read_duration as f64),
        },
        top_search_terms,
        top_ai_questions,
        recent_events,
        providers_last_7d,
        top_referrers,
        ai_referrers_last_7d,
        ai_discovery_page_views_last_7d,
        popular_posts,
        daily_activity,
    })
}

pub async fn build_public_content_highlights(
    ctx: &AppContext,
    public_posts: &[posts::Model],
) -> Result<PublicContentHighlights> {
    if public_posts.is_empty() {
        return Ok(PublicContentHighlights {
            overview: ContentAnalyticsOverview {
                total_page_views: 0,
                page_views_last_24h: 0,
                page_views_last_7d: 0,
                total_read_completes: 0,
                read_completes_last_7d: 0,
                avg_read_progress_last_7d: 0.0,
                avg_read_duration_ms_last_7d: None,
            },
            popular_posts: Vec::new(),
        });
    }

    let now = Utc::now();
    let since_24h = now - Duration::hours(24);
    let since_7d = now - Duration::days(7);
    let public_slugs = public_posts
        .iter()
        .map(|post| post.slug.clone())
        .collect::<Vec<_>>();
    let post_titles = public_posts
        .iter()
        .map(|post| {
            (
                post.slug.clone(),
                trim_to_option(post.title.clone()).unwrap_or_else(|| post.slug.clone()),
            )
        })
        .collect::<HashMap<_, _>>();

    let total_page_views = content_events::Entity::find()
        .filter(content_events::Column::EventType.eq(CONTENT_EVENT_PAGE_VIEW))
        .filter(content_events::Column::PostSlug.is_in(public_slugs.clone()))
        .count(&ctx.db)
        .await?;
    let total_read_completes = content_events::Entity::find()
        .filter(content_events::Column::EventType.eq(CONTENT_EVENT_READ_COMPLETE))
        .filter(content_events::Column::PostSlug.is_in(public_slugs.clone()))
        .count(&ctx.db)
        .await?;

    let last_7d_content_events = content_events::Entity::find()
        .filter(content_events::Column::CreatedAt.gte(since_7d))
        .filter(content_events::Column::PostSlug.is_in(public_slugs))
        .all(&ctx.db)
        .await?;

    let mut page_views_last_24h = 0_u64;
    let mut page_views_last_7d = 0_u64;
    let mut read_completes_last_7d = 0_u64;
    let mut total_read_progress = 0.0_f64;
    let mut counted_read_progress = 0_u64;
    let mut total_read_duration = 0.0_f64;
    let mut counted_read_duration = 0_u64;
    let mut post_breakdown = HashMap::<String, (u64, u64, f64, u64, f64, u64)>::new();

    for event in &last_7d_content_events {
        let created_at = DateTime::<Utc>::from(event.created_at);
        let Some(post_slug) = event
            .post_slug
            .as_deref()
            .map(str::trim)
            .filter(|value| !value.is_empty())
            .map(ToString::to_string)
        else {
            continue;
        };

        if event.event_type == CONTENT_EVENT_PAGE_VIEW {
            page_views_last_7d += 1;
            if created_at >= since_24h {
                page_views_last_24h += 1;
            }
        }

        if event.event_type == CONTENT_EVENT_READ_COMPLETE {
            read_completes_last_7d += 1;
        }

        if matches!(
            event.event_type.as_str(),
            CONTENT_EVENT_READ_PROGRESS | CONTENT_EVENT_READ_COMPLETE
        ) {
            let progress = event.progress_percent.unwrap_or({
                if event.event_type == CONTENT_EVENT_READ_COMPLETE {
                    100
                } else {
                    0
                }
            });
            if progress > 0 {
                total_read_progress += f64::from(progress);
                counted_read_progress += 1;
            }

            if let Some(duration_ms) = event.duration_ms.filter(|value| *value >= 0) {
                total_read_duration += f64::from(duration_ms);
                counted_read_duration += 1;
            }
        }

        let entry = post_breakdown
            .entry(post_slug)
            .or_insert((0, 0, 0.0, 0, 0.0, 0));

        if event.event_type == CONTENT_EVENT_PAGE_VIEW {
            entry.0 += 1;
        }

        if event.event_type == CONTENT_EVENT_READ_COMPLETE {
            entry.1 += 1;
        }

        if matches!(
            event.event_type.as_str(),
            CONTENT_EVENT_READ_PROGRESS | CONTENT_EVENT_READ_COMPLETE
        ) {
            let progress = event.progress_percent.unwrap_or({
                if event.event_type == CONTENT_EVENT_READ_COMPLETE {
                    100
                } else {
                    0
                }
            });
            if progress > 0 {
                entry.2 += f64::from(progress);
                entry.3 += 1;
            }

            if let Some(duration_ms) = event.duration_ms.filter(|value| *value >= 0) {
                entry.4 += f64::from(duration_ms);
                entry.5 += 1;
            }
        }
    }

    let mut popular_posts = post_breakdown
        .into_iter()
        .map(
            |(
                slug,
                (
                    page_views,
                    read_completes,
                    total_progress,
                    progress_count,
                    total_duration,
                    duration_count,
                ),
            )| AnalyticsPopularPost {
                title: post_titles
                    .get(&slug)
                    .cloned()
                    .unwrap_or_else(|| slug.clone()),
                slug,
                page_views,
                read_completes,
                avg_progress_percent: if progress_count > 0 {
                    total_progress / progress_count as f64
                } else {
                    0.0
                },
                avg_duration_ms: (duration_count > 0)
                    .then(|| total_duration / duration_count as f64),
            },
        )
        .collect::<Vec<_>>();
    popular_posts.sort_by(|left, right| {
        right
            .page_views
            .cmp(&left.page_views)
            .then_with(|| right.read_completes.cmp(&left.read_completes))
            .then_with(|| left.slug.cmp(&right.slug))
    });
    popular_posts.truncate(6);

    Ok(PublicContentHighlights {
        overview: ContentAnalyticsOverview {
            total_page_views,
            page_views_last_24h,
            page_views_last_7d,
            total_read_completes,
            read_completes_last_7d,
            avg_read_progress_last_7d: if counted_read_progress > 0 {
                total_read_progress / counted_read_progress as f64
            } else {
                0.0
            },
            avg_read_duration_ms_last_7d: (counted_read_duration > 0)
                .then(|| total_read_duration / counted_read_duration as f64),
        },
        popular_posts,
    })
}

pub async fn build_public_content_windows(
    ctx: &AppContext,
    public_posts: &[posts::Model],
) -> Result<Vec<PublicContentWindowHighlights>> {
    if public_posts.is_empty() {
        return Ok(vec![
            build_empty_public_content_window("24h", "24h", 1),
            build_empty_public_content_window("7d", "7d", 7),
            build_empty_public_content_window("30d", "30d", 30),
        ]);
    }

    let now = Utc::now();
    let since_30d = now - Duration::days(30);
    let public_slugs = public_posts
        .iter()
        .map(|post| post.slug.clone())
        .collect::<Vec<_>>();
    let post_titles = public_posts
        .iter()
        .map(|post| {
            (
                post.slug.clone(),
                trim_to_option(post.title.clone()).unwrap_or_else(|| post.slug.clone()),
            )
        })
        .collect::<HashMap<_, _>>();

    let events = content_events::Entity::find()
        .filter(content_events::Column::CreatedAt.gte(since_30d))
        .filter(content_events::Column::PostSlug.is_in(public_slugs))
        .all(&ctx.db)
        .await?;

    Ok(vec![
        summarize_public_content_window(
            &events,
            &post_titles,
            now - Duration::hours(24),
            "24h",
            "24h",
            1,
        ),
        summarize_public_content_window(
            &events,
            &post_titles,
            now - Duration::days(7),
            "7d",
            "7d",
            7,
        ),
        summarize_public_content_window(&events, &post_titles, since_30d, "30d", "30d", 30),
    ])
}

fn build_empty_public_content_window(
    key: &str,
    label: &str,
    days: i32,
) -> PublicContentWindowHighlights {
    PublicContentWindowHighlights {
        key: key.to_string(),
        label: label.to_string(),
        days,
        overview: PublicContentWindowOverview {
            page_views: 0,
            read_completes: 0,
            avg_read_progress: 0.0,
            avg_read_duration_ms: None,
        },
        popular_posts: Vec::new(),
    }
}

fn summarize_public_content_window(
    events: &[content_events::Model],
    post_titles: &HashMap<String, String>,
    since: DateTime<Utc>,
    key: &str,
    label: &str,
    days: i32,
) -> PublicContentWindowHighlights {
    let mut page_views = 0_u64;
    let mut read_completes = 0_u64;
    let mut total_read_progress = 0.0_f64;
    let mut counted_read_progress = 0_u64;
    let mut total_read_duration = 0.0_f64;
    let mut counted_read_duration = 0_u64;
    let mut post_breakdown = HashMap::<String, (u64, u64, f64, u64, f64, u64)>::new();

    for event in events {
        let created_at = DateTime::<Utc>::from(event.created_at);
        if created_at < since {
            continue;
        }

        let Some(post_slug) = event
            .post_slug
            .as_deref()
            .map(str::trim)
            .filter(|value| !value.is_empty())
            .map(ToString::to_string)
        else {
            continue;
        };

        if event.event_type == CONTENT_EVENT_PAGE_VIEW {
            page_views += 1;
        }

        if event.event_type == CONTENT_EVENT_READ_COMPLETE {
            read_completes += 1;
        }

        if matches!(
            event.event_type.as_str(),
            CONTENT_EVENT_READ_PROGRESS | CONTENT_EVENT_READ_COMPLETE
        ) {
            let progress = event.progress_percent.unwrap_or({
                if event.event_type == CONTENT_EVENT_READ_COMPLETE {
                    100
                } else {
                    0
                }
            });
            if progress > 0 {
                total_read_progress += f64::from(progress);
                counted_read_progress += 1;
            }

            if let Some(duration_ms) = event.duration_ms.filter(|value| *value >= 0) {
                total_read_duration += f64::from(duration_ms);
                counted_read_duration += 1;
            }
        }

        let entry = post_breakdown
            .entry(post_slug)
            .or_insert((0, 0, 0.0, 0, 0.0, 0));

        if event.event_type == CONTENT_EVENT_PAGE_VIEW {
            entry.0 += 1;
        }

        if event.event_type == CONTENT_EVENT_READ_COMPLETE {
            entry.1 += 1;
        }

        if matches!(
            event.event_type.as_str(),
            CONTENT_EVENT_READ_PROGRESS | CONTENT_EVENT_READ_COMPLETE
        ) {
            let progress = event.progress_percent.unwrap_or({
                if event.event_type == CONTENT_EVENT_READ_COMPLETE {
                    100
                } else {
                    0
                }
            });
            if progress > 0 {
                entry.2 += f64::from(progress);
                entry.3 += 1;
            }

            if let Some(duration_ms) = event.duration_ms.filter(|value| *value >= 0) {
                entry.4 += f64::from(duration_ms);
                entry.5 += 1;
            }
        }
    }

    let mut popular_posts = post_breakdown
        .into_iter()
        .map(
            |(
                slug,
                (
                    item_page_views,
                    item_read_completes,
                    total_progress,
                    progress_count,
                    total_duration,
                    duration_count,
                ),
            )| AnalyticsPopularPost {
                title: post_titles
                    .get(&slug)
                    .cloned()
                    .unwrap_or_else(|| slug.clone()),
                slug,
                page_views: item_page_views,
                read_completes: item_read_completes,
                avg_progress_percent: if progress_count > 0 {
                    total_progress / progress_count as f64
                } else {
                    0.0
                },
                avg_duration_ms: (duration_count > 0)
                    .then(|| total_duration / duration_count as f64),
            },
        )
        .collect::<Vec<_>>();

    popular_posts.sort_by(|left, right| {
        right
            .page_views
            .cmp(&left.page_views)
            .then_with(|| right.read_completes.cmp(&left.read_completes))
            .then_with(|| {
                right
                    .avg_progress_percent
                    .partial_cmp(&left.avg_progress_percent)
                    .unwrap_or(std::cmp::Ordering::Equal)
            })
            .then_with(|| left.slug.cmp(&right.slug))
    });
    popular_posts.truncate(6);

    PublicContentWindowHighlights {
        key: key.to_string(),
        label: label.to_string(),
        days,
        overview: PublicContentWindowOverview {
            page_views,
            read_completes,
            avg_read_progress: if counted_read_progress > 0 {
                total_read_progress / counted_read_progress as f64
            } else {
                0.0
            },
            avg_read_duration_ms: (counted_read_duration > 0)
                .then(|| total_read_duration / counted_read_duration as f64),
        },
        popular_posts,
    }
}