/**
 * AsciiDoc Metadata Extraction Service using Asciidoctor
 *
 * Thin wrapper around Asciidoctor's built-in metadata extraction capabilities.
 * Leverages the existing Pharos parser to avoid duplication.
 */

// @ts-ignore
import Processor from "asciidoctor";
import type { Document } from "asciidoctor";

export interface AsciiDocMetadata {
  title?: string;
  authors?: string[];
  version?: string;
  edition?: string;
  publicationDate?: string;
  publisher?: string;
  summary?: string;
  coverImage?: string;
  isbn?: string;
  tags?: string[];
  source?: string;
  publishedBy?: string;
  type?: string;
  autoUpdate?: "yes" | "ask" | "no";
}

export type SectionMetadata = AsciiDocMetadata;

export interface ParsedAsciiDoc {
  metadata: AsciiDocMetadata;
  content: string;
  sections: Array<{
    metadata: SectionMetadata;
    content: string;
    title: string;
  }>;
}

// Shared attribute mapping based on Asciidoctor standard attributes
const ATTRIBUTE_MAP: Record<string, keyof AsciiDocMetadata> = {
  // Standard Asciidoctor attributes
  "author": "authors",
  "description": "summary",
  "keywords": "tags",
  "revnumber": "version",
  "revdate": "publicationDate",
  "revremark": "edition",
  "title": "title",

  // Custom attributes for Alexandria
  "published_by": "publishedBy",
  "publisher": "publisher",
  "summary": "summary",
  "image": "coverImage",
  "cover": "coverImage",
  "isbn": "isbn",
  "source": "source",
  "type": "type",
  "auto-update": "autoUpdate",
  "version": "version",
  "edition": "edition",
  "published_on": "publicationDate",
  "date": "publicationDate",
  "version-label": "version",
};

/**
 * Creates an Asciidoctor processor instance
 */
function createProcessor() {
  return Processor();
}

/**
 * Extracts tags from attributes, combining tags and keywords
 */
function extractTagsFromAttributes(attributes: Record<string, any>): string[] {
  const tags: string[] = [];
  const attrTags = attributes["tags"];
  const attrKeywords = attributes["keywords"];

  if (attrTags && typeof attrTags === "string") {
    tags.push(...attrTags.split(",").map((tag) => tag.trim()));
  }

  if (attrKeywords && typeof attrKeywords === "string") {
    tags.push(...attrKeywords.split(",").map((tag) => tag.trim()));
  }

  return [...new Set(tags)]; // Remove duplicates
}

/**
 * Maps attributes to metadata with special handling for authors and tags
 */
function mapAttributesToMetadata(
  attributes: Record<string, any>,
  metadata: AsciiDocMetadata,
  isDocument: boolean = false,
): void {
  for (const [key, value] of Object.entries(attributes)) {
    const metadataKey = ATTRIBUTE_MAP[key.toLowerCase()];
    if (metadataKey && value && typeof value === "string") {
      if (metadataKey === "authors" && isDocument) {
        // Skip author mapping for documents since it's handled manually
        continue;
      } else if (metadataKey === "authors" && !isDocument) {
        // For sections, append author to existing authors array
        if (!metadata.authors) {
          metadata.authors = [];
        }
        metadata.authors.push(value);
      } else if (metadataKey === "tags") {
        // Skip tags mapping since it's handled by extractTagsFromAttributes
        continue;
      } else if (metadataKey === "summary") {
        // Handle summary specially - combine with existing summary if present
        if (metadata.summary) {
          metadata.summary = `${metadata.summary} ${value}`;
        } else {
          metadata.summary = value;
        }
      } else {
        (metadata as any)[metadataKey] = value;
      }
    }
  }
}

/**
 * Extracts authors from document header only (not sections)
 */
function extractDocumentAuthors(sourceContent: string): string[] {
  const authors: string[] = [];
  const lines = sourceContent.split(/\r?\n/);
  
  // Find the document title line
  let titleLineIndex = -1;
  for (let i = 0; i < lines.length; i++) {
    if (lines[i].match(/^=\s+/)) {
      titleLineIndex = i;
      break;
    }
  }
  
  if (titleLineIndex === -1) {
    return authors;
  }
  
  // Look for authors in the lines immediately following the title
  let i = titleLineIndex + 1;
  while (i < lines.length) {
    const line = lines[i];
    
    // Stop if we hit a blank line, section header, or content that's not an author
    if (line.trim() === "" || line.match(/^==\s+/)) {
      break;
    }
    
    if (line.includes("<") && !line.startsWith(":")) {
      // This is an author line like "John Doe <john@example.com>"
      const authorName = line.split("<")[0].trim();
      if (authorName) {
        authors.push(authorName);
      }
    } else if (line.startsWith(":")) {
      // This is an attribute line, skip it
      // Don't break here, continue to next line
    } else {
      // Not an author line, stop looking
      break;
    }
    
    i++;
  }
  
  return authors;
}

/**
 * Extracts authors from section header only
 */
function extractSectionAuthors(sectionContent: string): string[] {
  const authors: string[] = [];
  const lines = sectionContent.split(/\r?\n/);
  
  // Find the section title line
  let titleLineIndex = -1;
  for (let i = 0; i < lines.length; i++) {
    if (lines[i].match(/^==\s+/)) {
      titleLineIndex = i;
      break;
    }
  }
  
  if (titleLineIndex === -1) {
    return authors;
  }
  
  // Look for authors in the lines immediately following the section title
  let i = titleLineIndex + 1;
  while (i < lines.length) {
    const line = lines[i];
    
    // Stop if we hit a blank line, another section header, or content that's not an author
    if (line.trim() === "" || line.match(/^==\s+/)) {
      break;
    }
    
    if (line.includes("<") && !line.startsWith(":")) {
      // This is an author line like "John Doe <john@example.com>"
      const authorName = line.split("<")[0].trim();
      if (authorName) {
        authors.push(authorName);
      }
    } else if (
      line.match(/^[A-Za-z\s]+$/) &&
      line.trim() !== "" && 
      line.trim().split(/\s+/).length <= 2 &&
      !line.startsWith(":")
    ) {
      // This is a simple author name without email (for sections)
      authors.push(line.trim());
    } else if (line.startsWith(":")) {
      // This is an attribute line, skip it
      // Don't break here, continue to next line
    } else {
      // Not an author line, stop looking
      break;
    }
    
    i++;
  }
  
  return authors;
}

/**
 * Strips document header and attribute lines from content
 */
function stripDocumentHeader(content: string): string {
  const lines = content.split(/\r?\n/);
  let contentStart = 0;
  
  // Find where the document header ends
  for (let i = 0; i < lines.length; i++) {
    const line = lines[i];
    // Skip title line, author line, revision line, and attribute lines
    if (
      !line.match(/^=\s+/) && 
      !line.includes("<") &&
      !line.match(/^.+,\s*.+:\s*.+$/) &&
      !line.match(/^:[^:]+:\s*.+$/) && 
      line.trim() !== ""
    ) {
      contentStart = i;
      break;
    }
  }
  
  // Filter out all attribute lines and author lines from the content
  const contentLines = lines.slice(contentStart);
  const filteredLines = contentLines.filter((line) => {
    // Skip attribute lines
    if (line.match(/^:[^:]+:\s*.+$/)) {
      return false;
    }
    return true;
  });
  
  // Remove extra blank lines and normalize newlines
  return filteredLines.join("\n").replace(/\n\s*\n\s*\n/g, "\n\n").replace(
    /\n\s*\n/g,
    "\n",
  ).trim();
}

/**
 * Strips section header and attribute lines from content
 */
function stripSectionHeader(sectionContent: string): string {
  const lines = sectionContent.split(/\r?\n/);
  let contentStart = 0;
  
  // Find where the section header ends
  for (let i = 0; i < lines.length; i++) {
    const line = lines[i];
    // Skip section title line, author line, and attribute lines
    if (
      !line.match(/^==\s+/) && 
      !line.includes("<") &&
      !line.match(/^:[^:]+:\s*.+$/) && 
      line.trim() !== "" &&
      !(line.match(/^[A-Za-z\s]+$/) && line.trim() !== "" && line.trim().split(/\s+/).length <= 2)
    ) {
      contentStart = i;
      break;
    }
  }
  
  // Filter out all attribute lines, author lines, and section headers from the content
  const contentLines = lines.slice(contentStart);
  const filteredLines = contentLines.filter((line) => {
    // Skip attribute lines
    if (line.match(/^:[^:]+:\s*.+$/)) {
      return false;
    }
    // Skip author lines (simple names without email)
    if (
      line.match(/^[A-Za-z\s]+$/) && 
      line.trim() !== "" &&
      line.trim().split(/\s+/).length <= 2
    ) {
      return false;
    }
    // Skip section headers
    if (line.match(/^==\s+/)) {
      return false;
    }
    return true;
  });
  
  // Remove extra blank lines and normalize newlines
  return filteredLines.join("\n").replace(/\n\s*\n\s*\n/g, "\n\n").replace(
    /\n\s*\n/g,
    "\n",
  ).trim();
}

/**
 * Parses attributes from section content
 */
function parseSectionAttributes(sectionContent: string): Record<string, any> {
  const attributes: Record<string, any> = {};
  const lines = sectionContent.split(/\r?\n/);

  for (const line of lines) {
    const match = line.match(/^:([^:]+):\s*(.+)$/);
    if (match) {
      const [, key, value] = match;
      attributes[key.trim()] = value.trim();
    }
  }

  return attributes;
}

/**
 * Extracts metadata from AsciiDoc document using Asciidoctor
 */
export function extractDocumentMetadata(inputContent: string): {
  metadata: AsciiDocMetadata;
  content: string;
} {
  const asciidoctor = createProcessor();
  const document = asciidoctor.load(inputContent, {
    standalone: false,
  }) as Document;

  const metadata: AsciiDocMetadata = {};
  const attributes = document.getAttributes();

  // Extract basic metadata
  const title = document.getTitle();
  if (title) {
    // Decode HTML entities in the title
    metadata.title = title
      .replace(/&amp;/g, "&")
      .replace(/&lt;/g, "<")
      .replace(/&gt;/g, ">")
      .replace(/&quot;/g, '"')
      .replace(/&#039;/g, "'")
      .replace(/&nbsp;/g, " ");
  }

  // Handle multiple authors - combine header line and attributes
  const authors = extractDocumentAuthors(document.getSource());

  // Get authors from attributes in the document header only (including multiple :author: lines)
  const lines = document.getSource().split(/\r?\n/);
  let inDocumentHeader = true;
  for (const line of lines) {
    // Stop scanning when we hit a section header
    if (line.match(/^==\s+/)) {
      inDocumentHeader = false;
      break;
    }
    
    // Process :author: attributes regardless of other content
    if (inDocumentHeader) {
      const match = line.match(/^:author:\s*(.+)$/);
      if (match) {
        const authorName = match[1].trim();
        if (authorName && !authors.includes(authorName)) {
          authors.push(authorName);
        }
      }
    }
  }

  if (authors.length > 0) {
    metadata.authors = [...new Set(authors)]; // Remove duplicates
  }

  // Extract revision info
  const revisionNumber = document.getRevisionNumber();
  if (revisionNumber) metadata.version = revisionNumber;

  const revisionRemark = document.getRevisionRemark();
  if (revisionRemark) metadata.publishedBy = revisionRemark;

  const revisionDate = document.getRevisionDate();
  if (revisionDate) metadata.publicationDate = revisionDate;

  // Map attributes to metadata (but skip version and publishedBy if we already have them from revision)
  mapAttributesToMetadata(attributes, metadata, true);

  // If we got version from revision, don't override it with attribute
  if (revisionNumber) {
    metadata.version = revisionNumber;
  }

  // If we got publishedBy from revision, don't override it with attribute
  if (revisionRemark) {
    metadata.publishedBy = revisionRemark;
  }

  // Handle tags and keywords
  const tags = extractTagsFromAttributes(attributes);
  if (tags.length > 0) {
    metadata.tags = tags;
  }

  const content = stripDocumentHeader(document.getSource());
  return { metadata, content };
}

/**
 * Extracts metadata from a section using Asciidoctor
 */
export function extractSectionMetadata(inputSectionContent: string): {
  metadata: SectionMetadata;
  content: string;
  title: string;
} {
  const asciidoctor = createProcessor();
  const document = asciidoctor.load(`= Temp\n\n${inputSectionContent}`, {
    standalone: false,
  }) as Document;
  const sections = document.getSections();

  if (sections.length === 0) {
    return { metadata: {}, content: inputSectionContent, title: "" };
  }

  const section = sections[0];
  const title = section.getTitle() || "";
  const metadata: SectionMetadata = { title };

  // Parse attributes from the section content
  const attributes = parseSectionAttributes(inputSectionContent);

  // Extract authors from section content
  const authors = extractSectionAuthors(inputSectionContent);
  
  // Get authors from attributes (including multiple :author: lines)
  const lines = inputSectionContent.split(/\r?\n/);
  for (const line of lines) {
    const match = line.match(/^:author:\s*(.+)$/);
    if (match) {
      const authorName = match[1].trim();
      if (authorName && !authors.includes(authorName)) {
        authors.push(authorName);
      }
    }
  }
  
  if (authors.length > 0) {
    metadata.authors = authors;
  }

  // Map attributes to metadata (sections can have authors, but skip author mapping to avoid duplication)
  const attributesWithoutAuthor = { ...attributes };
  delete attributesWithoutAuthor.author;
  mapAttributesToMetadata(attributesWithoutAuthor, metadata, false);

  // Handle tags and keywords
  const tags = extractTagsFromAttributes(attributes);
  if (tags.length > 0) {
    metadata.tags = tags;
  }

  const content = stripSectionHeader(inputSectionContent);
  return { metadata, content, title };
}

/**
 * Parses AsciiDoc content into sections with metadata
 */
export function parseAsciiDocWithMetadata(content: string): ParsedAsciiDoc {
  const asciidoctor = createProcessor();
  const document = asciidoctor.load(content, { standalone: false }) as Document;
  const { metadata: docMetadata } = extractDocumentMetadata(content);

  // Parse the original content to find section attributes
  const lines = content.split(/\r?\n/);
  const sectionsWithMetadata: Array<{
    metadata: SectionMetadata;
    content: string;
    title: string;
  }> = [];
  let currentSection: string | null = null;
  let currentSectionContent: string[] = [];

  for (const line of lines) {
    if (line.match(/^==\s+/)) {
      // Save previous section if exists
      if (currentSection) {
        const sectionContent = currentSectionContent.join("\n");
        sectionsWithMetadata.push(extractSectionMetadata(sectionContent));
      }

      // Start new section
      currentSection = line;
      currentSectionContent = [line];
    } else if (currentSection) {
      currentSectionContent.push(line);
    }
  }

  // Save the last section
  if (currentSection) {
    const sectionContent = currentSectionContent.join("\n");
    sectionsWithMetadata.push(extractSectionMetadata(sectionContent));
  }

  return {
    metadata: docMetadata,
    content: document.getSource(),
    sections: sectionsWithMetadata,
  };
}

/**
 * Converts metadata to Nostr event tags
 */
export function metadataToTags(
  metadata: AsciiDocMetadata | SectionMetadata,
): [string, string][] {
  const tags: [string, string][] = [];

  if (metadata.title) tags.push(["title", metadata.title]);
  if (metadata.authors?.length) {
    metadata.authors.forEach((author) => tags.push(["author", author]));
  }
  if (metadata.version) tags.push(["version", metadata.version]);
  if (metadata.edition) tags.push(["edition", metadata.edition]);
  if (metadata.publicationDate) {
    tags.push(["published_on", metadata.publicationDate]);
  }
  if (metadata.publishedBy) tags.push(["published_by", metadata.publishedBy]);
  if (metadata.summary) tags.push(["summary", metadata.summary]);
  if (metadata.coverImage) tags.push(["image", metadata.coverImage]);
  if (metadata.isbn) tags.push(["i", metadata.isbn]);
  if (metadata.source) tags.push(["source", metadata.source]);
  if (metadata.type) tags.push(["type", metadata.type]);
  if (metadata.autoUpdate) tags.push(["auto-update", metadata.autoUpdate]);
  if (metadata.tags?.length) {
    metadata.tags.forEach((tag) => tags.push(["t", tag]));
  }

  return tags;
}

/**
 * Removes metadata from AsciiDoc content
 */
export function removeMetadataFromContent(content: string): string {
  const { content: cleanedContent } = extractDocumentMetadata(content);
  return cleanedContent;
}

/**
 * Extracts metadata from content that only contains sections (no document header)
 * This is useful when content flows from ZettelEditor to EventInput
 */
export function extractMetadataFromSectionsOnly(content: string): {
  metadata: AsciiDocMetadata;
  content: string;
} {
  const lines = content.split(/\r?\n/);
  const sections: Array<{
    metadata: SectionMetadata;
    content: string;
    title: string;
  }> = [];

  let currentSection: string | null = null;
  let currentSectionContent: string[] = [];

  // Parse sections from the content
  for (const line of lines) {
    if (line.match(/^==\s+/)) {
      // Save previous section if exists
      if (currentSection) {
        const sectionContent = currentSectionContent.join("\n");
        sections.push(extractSectionMetadata(sectionContent));
      }

      // Start new section
      currentSection = line;
      currentSectionContent = [line];
    } else if (currentSection) {
      currentSectionContent.push(line);
    }
  }

  // Save the last section
  if (currentSection) {
    const sectionContent = currentSectionContent.join("\n");
    sections.push(extractSectionMetadata(sectionContent));
  }

  // For section-only content, we don't have document metadata
  // Return the first section's title as the document title if available
  const metadata: AsciiDocMetadata = {};
  if (sections.length > 0 && sections[0].title) {
    metadata.title = sections[0].title;
  }

  return { metadata, content };
}

/**
 * Smart metadata extraction that handles both document headers and section-only content
 */
export function extractSmartMetadata(content: string): {
  metadata: AsciiDocMetadata;
  content: string;
} {
  // Check if content has a document header
  const hasDocumentHeader = content.match(/^=\s+/m);

  if (hasDocumentHeader) {
    // Check if it's a minimal document header (just title, no other metadata)
    const lines = content.split(/\r?\n/);
    const titleLine = lines.find((line) => line.match(/^=\s+/));
    const hasOtherMetadata = lines.some((line) =>
      line.includes("<") || // author line
      line.match(/^.+,\s*.+:\s*.+$/) // revision line
    );

    if (hasOtherMetadata) {
      // Full document with metadata - use standard extraction
      return extractDocumentMetadata(content);
    } else {
      // Minimal document header (just title) - preserve the title line for 30040 events
      const title = titleLine?.replace(/^=\s+/, "").trim();
      const metadata: AsciiDocMetadata = {};
      if (title) {
        metadata.title = title;
      }

      // Keep the title line in content for 30040 events
      return { metadata, content };
    }
  } else {
    return extractMetadataFromSectionsOnly(content);
  }
}