use std::collections::{BTreeMap, HashSet};
use std::fs::{self, File};
use std::io::{BufRead, BufReader, BufWriter, Write};
use std::path::{Path, PathBuf};

use clap::Args;
use color_eyre::eyre::{Result, bail, eyre};
use omnigraph::embedding::EmbeddingClient;
use serde::{Deserialize, Serialize};
use serde_json::{Map, Value, json};

const DEFAULT_EMBED_MODEL: &str = "gemini-embedding-2-preview";

#[derive(Debug, Args, Clone)]
pub(crate) struct EmbedArgs {
    /// Seed manifest path
    #[arg(long, conflicts_with_all = ["input", "output", "spec"])]
    pub seed: Option<PathBuf>,
    /// Raw seed JSONL input path
    #[arg(long, requires_all = ["output", "spec"], conflicts_with = "seed")]
    pub input: Option<PathBuf>,
    /// Embedded JSONL output path
    #[arg(long)]
    pub output: Option<PathBuf>,
    /// Embedding spec JSON path
    #[arg(long, requires_all = ["input", "output"], conflicts_with = "seed")]
    pub spec: Option<PathBuf>,
    /// Remove embedding fields instead of generating embeddings
    #[arg(long, conflicts_with = "reembed_all")]
    pub clean: bool,
    /// Regenerate embeddings for all matching rows
    #[arg(long, conflicts_with = "clean")]
    pub reembed_all: bool,
    /// Restrict processing to these type names
    #[arg(long = "type")]
    pub types: Vec<String>,
    /// Reembed or clean matching rows only. Syntax: Type:field=value or field=value
    #[arg(long = "select")]
    pub selectors: Vec<String>,
    /// Print JSON summary
    #[arg(long)]
    pub json: bool,
}

#[derive(Debug, Clone, Serialize)]
pub(crate) struct EmbedOutput {
    pub input: String,
    pub output: String,
    pub rows: usize,
    pub selected_rows: usize,
    pub embedded_rows: usize,
    pub cleaned_rows: usize,
    pub mode: &'static str,
    pub dimension: usize,
    pub model: String,
}

#[derive(Debug, Clone)]
pub(crate) struct EmbedJob {
    input: PathBuf,
    output: PathBuf,
    spec: EmbedSpec,
    mode: EmbedMode,
    type_filter: HashSet<String>,
    selectors: Vec<RowSelector>,
}

#[derive(Debug, Clone, Copy)]
enum EmbedMode {
    FillMissing,
    ReembedAll,
    Clean,
}

impl EmbedMode {
    fn as_str(self, selectors_present: bool) -> &'static str {
        match self {
            Self::FillMissing if selectors_present => "reembed_selected",
            Self::FillMissing => "fill_missing",
            Self::ReembedAll => "reembed_all",
            Self::Clean => "clean",
        }
    }
}

#[derive(Debug, Clone, Deserialize)]
struct EmbedSpec {
    #[serde(default = "default_embed_model")]
    model: String,
    dimension: usize,
    types: BTreeMap<String, EmbedTypeSpec>,
}

#[derive(Debug, Clone, Deserialize)]
struct EmbedTypeSpec {
    target: String,
    fields: Vec<String>,
}

#[derive(Debug, Clone, Deserialize)]
struct SeedManifest {
    #[serde(default)]
    sources: Option<SeedSources>,
    #[serde(default)]
    artifacts: Option<SeedArtifacts>,
    #[serde(default)]
    embeddings: Option<EmbedSpec>,
    #[serde(default)]
    seed: Option<LegacySeed>,
}

#[derive(Debug, Clone, Deserialize)]
struct SeedSources {
    raw_seed: PathBuf,
}

#[derive(Debug, Clone, Deserialize)]
struct SeedArtifacts {
    embedded_seed: PathBuf,
}

#[derive(Debug, Clone, Deserialize)]
struct LegacySeed {
    data: PathBuf,
}

#[derive(Debug, Clone)]
struct RowSelector {
    type_name: Option<String>,
    field: String,
    expected: String,
}

#[derive(Debug)]
enum EmbedRow {
    Entity {
        type_name: String,
        data: Map<String, Value>,
        root: Map<String, Value>,
    },
    Passthrough(Map<String, Value>),
}

pub(crate) fn resolve_embed_job(args: &EmbedArgs) -> Result<EmbedJob> {
    let mode = if args.clean {
        EmbedMode::Clean
    } else if args.reembed_all {
        EmbedMode::ReembedAll
    } else {
        EmbedMode::FillMissing
    };
    let selectors = args
        .selectors
        .iter()
        .map(|selector| RowSelector::parse(selector))
        .collect::<Result<Vec<_>>>()?;
    let type_filter = args.types.iter().cloned().collect::<HashSet<_>>();

    let (input, output, spec) = if let Some(seed_path) = &args.seed {
        let manifest = load_seed_manifest(seed_path)?;
        (
            manifest.raw_seed,
            args.output.clone().unwrap_or(manifest.embedded_seed),
            manifest.spec,
        )
    } else {
        let input = args
            .input
            .clone()
            .ok_or_else(|| eyre!("--input is required when --seed is not provided"))?;
        let output = args
            .output
            .clone()
            .ok_or_else(|| eyre!("--output is required when --seed is not provided"))?;
        let spec_path = args
            .spec
            .clone()
            .ok_or_else(|| eyre!("--spec is required when --seed is not provided"))?;
        let spec = load_embed_spec(&spec_path)?;
        (input, output, spec)
    };

    if spec.model != DEFAULT_EMBED_MODEL {
        bail!(
            "only {} is supported for explicit seed embeddings right now",
            DEFAULT_EMBED_MODEL
        );
    }

    Ok(EmbedJob {
        input,
        output,
        spec,
        mode,
        type_filter,
        selectors,
    })
}

pub(crate) async fn execute_embed(args: &EmbedArgs) -> Result<EmbedOutput> {
    let job = resolve_embed_job(args)?;
    run_embed_job(&job).await
}

pub(crate) async fn run_embed_job(job: &EmbedJob) -> Result<EmbedOutput> {
    if !job.input.exists() {
        bail!("seed input does not exist: {}", job.input.display());
    }

    if let Some(parent) = job.output.parent() {
        fs::create_dir_all(parent)?;
    }

    let temp_output = temp_output_path(&job.output);
    let mut reader = BufReader::new(File::open(&job.input)?);
    let mut writer = BufWriter::new(File::create(&temp_output)?);
    let client = match job.mode {
        EmbedMode::Clean => None,
        _ => Some(EmbeddingClient::from_env()?),
    };

    let mut line = String::new();
    let mut rows = 0usize;
    let mut selected_rows = 0usize;
    let mut embedded_rows = 0usize;
    let mut cleaned_rows = 0usize;

    loop {
        line.clear();
        let bytes = reader.read_line(&mut line)?;
        if bytes == 0 {
            break;
        }
        let raw = line.trim();
        if raw.is_empty() {
            continue;
        }
        rows += 1;
        let mut row = parse_row(raw, rows)?;
        let selected = row_matches_selection(&row, &job.type_filter, &job.selectors);
        if selected {
            selected_rows += 1;
        }

        if let Some(type_spec) = row
            .type_name()
            .and_then(|type_name| job.spec.types.get(type_name))
        {
            match job.mode {
                EmbedMode::Clean => {
                    if selected
                        && row
                            .data_mut()
                            .is_some_and(|data| data.remove(&type_spec.target).is_some())
                    {
                        cleaned_rows += 1;
                    }
                }
                EmbedMode::ReembedAll => {
                    if selected {
                        embed_row(
                            &mut row,
                            type_spec,
                            job.spec.dimension,
                            client.as_ref().unwrap(),
                        )
                        .await?;
                        embedded_rows += 1;
                    }
                }
                EmbedMode::FillMissing => {
                    let reembed_selected = !job.selectors.is_empty();
                    if selected
                        && (reembed_selected
                            || embedding_missing(
                                row.data().and_then(|data| data.get(&type_spec.target)),
                            ))
                    {
                        embed_row(
                            &mut row,
                            type_spec,
                            job.spec.dimension,
                            client.as_ref().unwrap(),
                        )
                        .await?;
                        embedded_rows += 1;
                    }
                }
            }
        }

        writer.write_all(serde_json::to_string(&row.into_value())?.as_bytes())?;
        writer.write_all(b"\n")?;
    }

    writer.flush()?;
    fs::rename(&temp_output, &job.output)?;

    Ok(EmbedOutput {
        input: job.input.display().to_string(),
        output: job.output.display().to_string(),
        rows,
        selected_rows,
        embedded_rows,
        cleaned_rows,
        mode: job.mode.as_str(!job.selectors.is_empty()),
        dimension: job.spec.dimension,
        model: job.spec.model.clone(),
    })
}

fn temp_output_path(output: &Path) -> PathBuf {
    let mut temp = output.as_os_str().to_os_string();
    temp.push(".tmp");
    PathBuf::from(temp)
}

fn default_embed_model() -> String {
    DEFAULT_EMBED_MODEL.to_string()
}

fn load_embed_spec(path: &Path) -> Result<EmbedSpec> {
    Ok(serde_json::from_str(&fs::read_to_string(path)?)?)
}

struct ResolvedSeedManifest {
    raw_seed: PathBuf,
    embedded_seed: PathBuf,
    spec: EmbedSpec,
}

fn load_seed_manifest(path: &Path) -> Result<ResolvedSeedManifest> {
    let base_dir = path
        .parent()
        .map(Path::to_path_buf)
        .unwrap_or(std::env::current_dir()?);
    let manifest: SeedManifest = serde_yaml::from_str(&fs::read_to_string(path)?)?;
    let raw_seed = manifest
        .sources
        .as_ref()
        .map(|sources| sources.raw_seed.clone())
        .or_else(|| manifest.seed.as_ref().map(|seed| seed.data.clone()))
        .ok_or_else(|| eyre!("seed manifest is missing sources.raw_seed"))?;
    let embedded_seed = manifest
        .artifacts
        .as_ref()
        .map(|artifacts| artifacts.embedded_seed.clone())
        .unwrap_or_else(|| PathBuf::from("./build/seed.embedded.jsonl"));
    let spec = manifest
        .embeddings
        .ok_or_else(|| eyre!("seed manifest is missing embeddings"))?;

    Ok(ResolvedSeedManifest {
        raw_seed: base_dir.join(raw_seed),
        embedded_seed: base_dir.join(embedded_seed),
        spec,
    })
}

impl RowSelector {
    fn parse(value: &str) -> Result<Self> {
        let (lhs, expected) = value
            .split_once('=')
            .ok_or_else(|| eyre!("selector must be field=value or Type:field=value"))?;
        let (type_name, field) = if let Some((type_name, field)) = lhs.split_once(':') {
            (
                Some(type_name.trim().to_string()).filter(|value| !value.is_empty()),
                field.trim().to_string(),
            )
        } else {
            (None, lhs.trim().to_string())
        };

        if field.is_empty() {
            bail!("selector field cannot be empty");
        }

        Ok(Self {
            type_name,
            field,
            expected: expected.trim().to_string(),
        })
    }

    fn matches(&self, type_name: &str, data: &Map<String, Value>) -> bool {
        if self
            .type_name
            .as_deref()
            .is_some_and(|expected| expected != type_name)
        {
            return false;
        }

        data.get(&self.field)
            .map(render_value)
            .is_some_and(|value| value == self.expected)
    }
}

fn parse_row(raw: &str, line_number: usize) -> Result<EmbedRow> {
    let mut root = serde_json::from_str::<Map<String, Value>>(raw)
        .map_err(|err| eyre!("line {} is not valid JSON: {}", line_number, err))?;
    let Some(type_name) = root.get("type").and_then(Value::as_str).map(str::to_string) else {
        return Ok(EmbedRow::Passthrough(root));
    };
    let data = root
        .remove("data")
        .and_then(|value| value.as_object().cloned())
        .ok_or_else(|| eyre!("line {} is missing object field 'data'", line_number))?;

    Ok(EmbedRow::Entity {
        type_name,
        data,
        root,
    })
}

impl EmbedRow {
    fn into_value(self) -> Value {
        match self {
            Self::Entity {
                type_name,
                data,
                mut root,
            } => {
                root.insert("type".to_string(), Value::String(type_name));
                root.insert("data".to_string(), Value::Object(data));
                Value::Object(root)
            }
            Self::Passthrough(root) => Value::Object(root),
        }
    }

    fn type_name(&self) -> Option<&str> {
        match self {
            Self::Entity { type_name, .. } => Some(type_name.as_str()),
            Self::Passthrough(_) => None,
        }
    }

    fn data(&self) -> Option<&Map<String, Value>> {
        match self {
            Self::Entity { data, .. } => Some(data),
            Self::Passthrough(_) => None,
        }
    }

    fn data_mut(&mut self) -> Option<&mut Map<String, Value>> {
        match self {
            Self::Entity { data, .. } => Some(data),
            Self::Passthrough(_) => None,
        }
    }
}

fn row_matches_selection(
    row: &EmbedRow,
    type_filter: &HashSet<String>,
    selectors: &[RowSelector],
) -> bool {
    let Some(type_name) = row.type_name() else {
        return false;
    };
    let Some(data) = row.data() else {
        return false;
    };

    let matches_type = type_filter.is_empty() || type_filter.contains(type_name);
    if !matches_type {
        return false;
    }
    if selectors.is_empty() {
        return true;
    }
    selectors
        .iter()
        .any(|selector| selector.matches(type_name, data))
}

fn embedding_missing(value: Option<&Value>) -> bool {
    match value {
        None | Some(Value::Null) => true,
        Some(Value::Array(values)) => values.is_empty(),
        _ => false,
    }
}

fn render_value(value: &Value) -> String {
    match value {
        Value::Null => String::new(),
        Value::String(value) => value.trim().to_string(),
        Value::Bool(value) => {
            if *value {
                "true".to_string()
            } else {
                "false".to_string()
            }
        }
        Value::Number(value) => value.to_string(),
        Value::Array(values) => values
            .iter()
            .map(render_value)
            .filter(|value| !value.is_empty())
            .collect::<Vec<_>>()
            .join(", "),
        other => other.to_string(),
    }
}

fn build_embedding_text(type_name: &str, data: &Map<String, Value>, fields: &[String]) -> String {
    let mut parts = vec![format!("type: {}", type_name)];
    for field in fields {
        if let Some(value) = data.get(field) {
            let rendered = render_value(value);
            if !rendered.is_empty() {
                parts.push(format!("{}: {}", field, rendered));
            }
        }
    }
    parts.join("\n")
}

async fn embed_row(
    row: &mut EmbedRow,
    spec: &EmbedTypeSpec,
    dimension: usize,
    client: &EmbeddingClient,
) -> Result<()> {
    let type_name = row
        .type_name()
        .ok_or_else(|| eyre!("cannot embed non-entity seed rows"))?
        .to_string();
    let data = row
        .data_mut()
        .ok_or_else(|| eyre!("cannot embed non-entity seed rows"))?;
    let text = build_embedding_text(&type_name, data, &spec.fields);
    if text.trim().is_empty() {
        return Ok(());
    }
    let embedding = client.embed_document_text(&text, dimension).await?;
    data.insert(spec.target.clone(), json!(embedding));
    Ok(())
}

#[cfg(test)]
mod tests {
    use super::{RowSelector, build_embedding_text, render_value};
    use serde_json::json;

    #[test]
    fn selector_parses_type_and_field_forms() {
        let typed = RowSelector::parse("Decision:slug=dec-1").unwrap();
        assert_eq!(typed.type_name.as_deref(), Some("Decision"));
        assert_eq!(typed.field, "slug");
        assert_eq!(typed.expected, "dec-1");

        let plain = RowSelector::parse("slug=dec-2").unwrap();
        assert_eq!(plain.type_name, None);
        assert_eq!(plain.field, "slug");
        assert_eq!(plain.expected, "dec-2");
    }

    #[test]
    fn render_value_handles_lists_and_scalars() {
        assert_eq!(render_value(&json!(["a", "b"])), "a, b");
        assert_eq!(render_value(&json!(true)), "true");
        assert_eq!(render_value(&json!(3)), "3");
    }

    #[test]
    fn build_embedding_text_prefixes_type_and_fields() {
        let data = json!({
            "slug": "dec-1",
            "intent": "Ship it"
        });
        let object = data.as_object().unwrap();
        let text = build_embedding_text(
            "Decision",
            object,
            &["slug".to_string(), "intent".to_string()],
        );
        assert!(text.contains("type: Decision"));
        assert!(text.contains("slug: dec-1"));
        assert!(text.contains("intent: Ship it"));
    }
}