use std::fmt;
use std::fs;
use std::path::{Path, PathBuf};

use crate::generated_scene::analyzer::{
    analyze_scene_source_with_hint, AnalyzeSceneError, SceneKind, SceneSourceAnalysis,
};
use crate::generated_scene::lessons::load_generation_lessons;

#[derive(Debug, Clone)]
pub struct GenerateSceneRequest {
    pub source_dir: PathBuf,
    pub scene_id: String,
    pub scene_name: String,
    pub scene_kind: Option<SceneKind>,
    pub output_root: PathBuf,
    pub lessons_path: PathBuf,
}

#[derive(Debug)]
pub struct GenerateSceneError {
    message: String,
}

impl GenerateSceneError {
    fn new(message: impl Into<String>) -> Self {
        Self {
            message: message.into(),
        }
    }
}

impl fmt::Display for GenerateSceneError {
    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
        f.write_str(&self.message)
    }
}

impl std::error::Error for GenerateSceneError {}

impl From<AnalyzeSceneError> for GenerateSceneError {
    fn from(value: AnalyzeSceneError) -> Self {
        Self::new(value.to_string())
    }
}

pub fn generate_scene_package(
    request: GenerateSceneRequest,
) -> Result<PathBuf, GenerateSceneError> {
    let analysis = analyze_scene_source_with_hint(&request.source_dir, request.scene_kind.clone())?;
    let lessons =
        load_generation_lessons(&request.lessons_path).map_err(GenerateSceneError::new)?;
    if !lessons.routing.require_exact_suffix
        || !lessons.bootstrap.require_expected_domain
        || !lessons.bootstrap.require_target_url
        || !lessons.artifact.require_report_artifact
    {
        return Err(GenerateSceneError::new(
            "generation lessons do not allow a registration-ready report scene",
        ));
    }

    let tool_name = format!("collect_{}", sanitize_ident(&request.scene_id));
    let skill_root = request.output_root.join("skills").join(&request.scene_id);
    let scripts_dir = skill_root.join("scripts");
    let references_dir = skill_root.join("references");
    fs::create_dir_all(&scripts_dir).map_err(|err| io_error("create", &scripts_dir, err))?;
    fs::create_dir_all(&references_dir).map_err(|err| io_error("create", &references_dir, err))?;

    write_file(
        &skill_root.join("SKILL.toml"),
        &skill_toml(&request, &analysis, &tool_name),
    )?;
    write_file(
        &skill_root.join("SKILL.md"),
        &skill_md(&request, &analysis, &tool_name),
    )?;
    write_file(
        &skill_root.join("scene.toml"),
        &scene_toml(&request, &analysis, &tool_name),
    )?;
    write_file(
        &references_dir.join("org-dictionary.json"),
        default_org_dictionary(),
    )?;
    write_file(
        &scripts_dir.join(format!("{tool_name}.js")),
        &browser_script(&request.scene_id, &analysis),
    )?;
    write_file(
        &scripts_dir.join(format!("{tool_name}.test.js")),
        &browser_script_test(&tool_name, &analysis),
    )?;
    write_file(
        &references_dir.join("generation-lessons.md"),
        &format!(
            "# Generation Lessons\n\nGenerated from `{}` with lessons `{}`.\n\nThis package is limited to report/collection browser_script scenes.\n",
            request.source_dir.display(),
            request.lessons_path.display()
        ),
    )?;

    if let Some(entry_script) = analysis.collection_entry_script.as_deref() {
        let source_script = request.source_dir.join(entry_script);
        if source_script.exists() {
            let copied = fs::read_to_string(&source_script)
                .map_err(|err| io_error("read", &source_script, err))?;
            write_file(&references_dir.join("source-entry-script.js"), &copied)?;
        }
    }

    Ok(skill_root)
}

fn write_file(path: &Path, content: &str) -> Result<(), GenerateSceneError> {
    fs::write(path, content).map_err(|err| io_error("write", path, err))
}

fn io_error(action: &str, path: &Path, err: std::io::Error) -> GenerateSceneError {
    GenerateSceneError::new(format!("failed to {action} {}: {err}", path.display()))
}

fn skill_toml(request: &GenerateSceneRequest, analysis: &SceneSourceAnalysis, tool_name: &str) -> String {
    let category = analysis.scene_kind.as_str();
    format!(
        "[skill]\nname = \"{}\"\ndescription = \"Generated {} skill: {}\"\nversion = \"0.1.0\"\n\n[[tools]]\nname = \"{}\"\ndescription = \"Collect {} scene artifact\"\nkind = \"browser_script\"\ncommand = \"scripts/{}.js\"\n",
        request.scene_id, category, request.scene_name, tool_name, request.scene_name, tool_name
    )
}

fn skill_md(request: &GenerateSceneRequest, analysis: &SceneSourceAnalysis, tool_name: &str) -> String {
    let category = analysis.scene_kind.as_str();
    format!(
        "# {}\n\nGenerated v1 {} browser_script scene skill.\n\n- Scene id: `{}`\n- Tool: `{}`\n- Runtime contract: manifest-driven deterministic routing, canonical args, generic `report-artifact` output.\n",
        request.scene_name, category, request.scene_id, tool_name
    )
}

fn scene_toml(
    request: &GenerateSceneRequest,
    analysis: &SceneSourceAnalysis,
    tool_name: &str,
) -> String {
    match analysis.scene_kind {
        SceneKind::ReportCollection => scene_toml_report_collection(request, analysis, tool_name),
        SceneKind::Monitoring => scene_toml_monitoring(request, analysis, tool_name),
    }
}

fn scene_toml_report_collection(
    request: &GenerateSceneRequest,
    analysis: &SceneSourceAnalysis,
    tool_name: &str,
) -> String {
    let expected_domain = analysis.bootstrap.expected_domain.as_deref().unwrap_or_default();
    let target_url = analysis.bootstrap.target_url.as_deref().unwrap_or_default();
    format!(
        "[scene]\nid = \"{}\"\nskill = \"{}\"\ntool = \"{}\"\nkind = \"browser_script\"\nversion = \"0.1.0\"\ncategory = \"report_collection\"\n\n[manifest]\nschema_version = \"1\"\n\n[bootstrap]\nexpected_domain = \"{}\"\ntarget_url = \"{}\"\npage_title_keywords = [\"报表\", \"线损\"]\nrequires_target_page = true\n\n[deterministic]\nsuffix = \"。。。\"\ninclude_keywords = [\"{}\", \"报表\", \"统计\"]\nexclude_keywords = [\"知乎\"]\n\n[[params]]\nname = \"org\"\nresolver = \"dictionary_entity\"\nrequired = true\nprompt_missing = \"已命中{}，但缺少供电单位。\"\nprompt_ambiguous = \"已命中{}，但供电单位存在歧义。\"\n\n[params.resolver_config]\ndictionary_ref = \"references/org-dictionary.json\"\noutput_label_field = \"org_label\"\noutput_code_field = \"org_code\"\n\n[[params]]\nname = \"period\"\nresolver = \"month_week_period\"\nrequired = true\nprompt_missing = \"已命中{}，但缺少统计周期。\"\nprompt_ambiguous = \"已命中{}，但统计周期存在歧义。\"\n\n[artifact]\ntype = \"report-artifact\"\nsuccess_status = [\"ok\", \"partial\", \"empty\"]\nfailure_status = [\"blocked\", \"error\"]\n\n[postprocess]\nexporter = \"xlsx_report\"\nauto_open = \"excel\"\n",
        request.scene_id,
        request.scene_id,
        tool_name,
        expected_domain,
        target_url,
        request.scene_name,
        request.scene_name,
        request.scene_name,
        request.scene_name,
        request.scene_name
    )
}

fn scene_toml_monitoring(
    request: &GenerateSceneRequest,
    analysis: &SceneSourceAnalysis,
    tool_name: &str,
) -> String {
    let expected_domain = analysis.bootstrap.expected_domain.as_deref().unwrap_or_default();
    let target_url = analysis.bootstrap.target_url.as_deref().unwrap_or_default();
    format!(
        "[scene]\nid = \"{}\"\nskill = \"{}\"\ntool = \"{}\"\nkind = \"browser_script\"\nversion = \"0.1.0\"\ncategory = \"monitoring\"\n\n[manifest]\nschema_version = \"1\"\n\n[bootstrap]\nexpected_domain = \"{}\"\ntarget_url = \"{}\"\npage_title_keywords = [\"监测\", \"状态\"]\nrequires_target_page = true\n\n[deterministic]\nsuffix = \"。。。\"\ninclude_keywords = [\"{}\", \"监测\", \"状态\"]\nexclude_keywords = [\"知乎\"]\n\n# 监测类场景参数留空，由用户手动编辑\n\n[artifact]\ntype = \"report-artifact\"\nsuccess_status = [\"ok\", \"partial\", \"empty\"]\nfailure_status = [\"blocked\", \"error\"]\n\n[postprocess]\nexporter = \"xlsx_report\"\nauto_open = \"excel\"\n",
        request.scene_id,
        request.scene_id,
        tool_name,
        expected_domain,
        target_url,
        request.scene_name
    )
}

fn default_org_dictionary() -> &'static str {
    r#"[
  {
    "label": "国网兰州供电公司",
    "code": "62401"
  }
]
"#
}

fn browser_script(scene_id: &str, _analysis: &SceneSourceAnalysis) -> String {
    format!(
        "function normalizePayload(payload) {{\n  if (typeof payload === 'string') {{\n    try {{ return JSON.parse(payload); }} catch (_) {{ return {{}}; }}\n  }}\n  return payload && typeof payload === 'object' ? payload : {{}};\n}}\n\nasync function buildBrowserEntrypointResult(args, deps = {{}}) {{\n  const rows = typeof deps.collectRows === 'function'\n    ? await deps.collectRows(args)\n    : [{{\n        org_label: args.org_label || '',\n        org_code: args.org_code || '',\n        period_mode: args.period_mode || '',\n        period_value: args.period_value || '',\n        value: ''\n      }}];\n  return {{\n    type: 'report-artifact',\n    report_name: '{}',\n    status: rows.length > 0 ? 'ok' : 'empty',\n    period: {{\n      mode: args.period_mode,\n      mode_code: args.period_mode_code,\n      value: args.period_value,\n      payload: normalizePayload(args.period_payload)\n    }},\n    org: {{ label: args.org_label, code: args.org_code }},\n    column_defs: [\n      ['org_label', '供电单位'],\n      ['org_code', '供电单位编码'],\n      ['period_mode', '统计周期类型'],\n      ['period_value', '统计周期'],\n      ['value', '采集值']\n    ],\n    columns: ['org_label', 'org_code', 'period_mode', 'period_value', 'value'],\n    rows,\n    counts: {{ detail_rows: rows.length }},\n    partial_reasons: [],\n    reasons: []\n  }};\n}}\n\nif (typeof module !== 'undefined') {{\n  module.exports = {{ buildBrowserEntrypointResult, normalizePayload }};\n}}\n\nif (typeof args !== 'undefined') {{\n  return buildBrowserEntrypointResult(args);\n}}\n",
        scene_id
    )
}

fn browser_script_test(tool_name: &str, _analysis: &SceneSourceAnalysis) -> String {
    format!(
        "const assert = require('assert');\nconst {{ buildBrowserEntrypointResult }} = require('./{}.js');\n\n(async () => {{\n  const artifact = await buildBrowserEntrypointResult({{\n    org_label: '国网兰州供电公司',\n    org_code: '62401',\n    period_mode: 'month',\n    period_mode_code: '1',\n    period_value: '2026-03',\n    period_payload: '{{\"fdate\":\"2026-03\"}}'\n  }});\n  assert.equal(artifact.type, 'report-artifact');\n  assert.ok(Array.isArray(artifact.column_defs));\n  assert.equal(artifact.rows.length, 1);\n}})().catch((err) => {{\n  console.error(err);\n  process.exit(1);\n}});\n",
        tool_name
    )
}

fn sanitize_ident(value: &str) -> String {
    value
        .chars()
        .map(|ch| {
            if ch.is_ascii_alphanumeric() {
                ch.to_ascii_lowercase()
            } else {
                '_'
            }
        })
        .collect::<String>()
        .split('_')
        .filter(|part| !part.is_empty())
        .collect::<Vec<_>>()
        .join("_")
}