import { describe, expect, it } from "vitest";
import {
  agentRichTextDocToPromptText,
  plainTextToAgentRichTextDoc,
  plainTextToAgentRichTextInlineContent
} from "./agentRichTextDocument";
import { AGENT_RICH_TEXT_CARET_ANCHOR } from "./agentRichTextCaretAnchor";
import { createRichTextMentionHref } from "@tutti-os/ui-rich-text/core";

describe("agentRichTextDocument", () => {
  it("round-trips plain text and newlines", () => {
    const text = "hello\n\nworld";
    expect(
      agentRichTextDocToPromptText(plainTextToAgentRichTextDoc(text))
    ).toBe(text);
  });

  it("creates an empty paragraph for empty text", () => {
    expect(plainTextToAgentRichTextDoc("")).toEqual({
      type: "doc",
      content: [{ type: "paragraph" }]
    });
    expect(agentRichTextDocToPromptText(plainTextToAgentRichTextDoc(""))).toBe(
      ""
    );
  });

  it("normalizes CRLF text to LF prompt text", () => {
    expect(
      agentRichTextDocToPromptText(plainTextToAgentRichTextDoc("a\r\nb\rc"))
    ).toBe("a\nb\nc");
  });

  it("creates inline content suitable for paste insertion", () => {
    expect(plainTextToAgentRichTextInlineContent("a\nb")).toEqual([
      { type: "text", text: "a" },
      { type: "hardBreak" },
      { type: "text", text: "b" }
    ]);
  });

  it("exports file mention nodes as escaped Markdown links", () => {
    expect(
      agentRichTextDocToPromptText({
        type: "doc",
        content: [
          {
            type: "paragraph",
            content: [
              { type: "text", text: "Read " },
              {
                type: "agentFileMention",
                attrs: {
                  name: "a[b] c.md",
                  path: "/workspace/a b\\c).md",
                  kind: "file"
                }
              }
            ]
          }
        ]
      })
    ).toBe("Read [@a\\[b\\] c.md](/workspace/a b\\\\c\\).md)");
  });

  it("hydrates file mention Markdown back into mention nodes", () => {
    expect(
      plainTextToAgentRichTextDoc(
        "Read [@a\\[b\\] c.md](/workspace/a b\\\\c\\).md)\n[@docs](/workspace/docs)"
      )
    ).toEqual({
      type: "doc",
      content: [
        {
          type: "paragraph",
          content: [
            { type: "text", text: "Read " },
            {
              type: "agentFileMention",
              attrs: {
                name: "a[b] c.md",
                path: "/workspace/a b\\c).md",
                href: "/workspace/a b\\c).md",
                kind: "file",
                entryKind: "unknown",
                directoryPath: "/workspace",
                thumbnailUrl: ""
              }
            },
            { type: "hardBreak" },
            { type: "text", text: AGENT_RICH_TEXT_CARET_ANCHOR },
            {
              type: "agentFileMention",
              attrs: {
                name: "docs",
                path: "/workspace/docs",
                href: "/workspace/docs",
                kind: "file",
                entryKind: "unknown",
                directoryPath: "/workspace",
                thumbnailUrl: ""
              }
            }
          ]
        }
      ]
    });
  });

  it("hydrates a workspace-reference mention with its handle + file count", () => {
    // 回归:对话流里的用户气泡用 AgentRichTextReadonly 渲染,reference chip 的
    // 「N 个文件」角标取自 href 的 count 参数,句柄取自 source/id/groupId。
    const href = createRichTextMentionHref({
      providerId: "workspace-reference",
      entityId: "topic-1",
      label: "我的小项目",
      scope: {
        workspaceId: "ws1",
        source: "task",
        groupId: "issue-1",
        icon: "https://x.png",
        count: "3"
      }
    });
    const doc = plainTextToAgentRichTextDoc(`[@我的小项目](${href})`);
    expect(agentRichTextDocToPromptText(doc)).not.toContain(
      AGENT_RICH_TEXT_CARET_ANCHOR
    );
    expect(agentRichTextDocToPromptText(doc)).toContain(
      "mention://workspace-reference/topic-1?"
    );
    const mention = doc.content?.[0]?.content?.find(
      (node) => node.type === "agentFileMention"
    );
    expect(mention?.attrs?.kind).toBe("workspace-reference");
    expect(mention?.attrs?.source).toBe("task");
    expect(mention?.attrs?.fileCount).toBe("3");
  });

  it("round-trips session and issue mentions as typed mention nodes", () => {
    const prompt =
      "继续看看 [@wang jomes · Codex · 看看项目有什么文件](mention://agent-session/session-1?workspaceId=room-1)\n" +
      "再跟进 [@修复 room status 批量接口](mention://workspace-issue/issue-1?workspaceId=room-1)";

    expect(
      agentRichTextDocToPromptText(plainTextToAgentRichTextDoc(prompt))
    ).toBe(prompt);

    expect(plainTextToAgentRichTextDoc(prompt)).toEqual({
      type: "doc",
      content: [
        {
          type: "paragraph",
          content: [
            { type: "text", text: "继续看看 " },
            {
              type: "agentFileMention",
              attrs: {
                kind: "session",
                href: "mention://agent-session/session-1?workspaceId=room-1",
                workspaceId: "room-1",
                targetId: "session-1",
                name: "wang jomes · Codex · 看看项目有什么文件",
                title: "wang jomes · Codex · 看看项目有什么文件",
                scope: "collab_sessions",
                initiatorName: "",
                agentName: "",
                status: "",
                inputPreview: "",
                summaryPreview: ""
              }
            },
            { type: "hardBreak" },
            { type: "text", text: "再跟进 " },
            {
              type: "agentFileMention",
              attrs: {
                kind: "workspace-issue",
                href: "mention://workspace-issue/issue-1?workspaceId=room-1",
                workspaceId: "room-1",
                targetId: "issue-1",
                topicId: "",
                name: "修复 room status 批量接口",
                title: "修复 room status 批量接口",
                creatorName: "",
                iconUrl: "",
                status: "",
                contentPreview: ""
              }
            }
          ]
        }
      ]
    });
  });

  it("keeps a trailing text position after a mention", () => {
    const prompt =
      "[@修复输入框光标](mention://workspace-issue/issue-1?workspaceId=room-1) ";
    const doc = plainTextToAgentRichTextDoc(prompt);
    const paragraphContent = doc.content?.[0]?.content;

    expect(paragraphContent?.at(-1)).toEqual({ type: "text", text: " " });
    expect(agentRichTextDocToPromptText(doc)).toBe(prompt);
  });

  it("round-trips workspace app factory mentions as typed mention nodes", () => {
    const prompt =
      "[@Create App](mention://workspace-app-factory/create) Create a weather app.";

    expect(
      agentRichTextDocToPromptText(plainTextToAgentRichTextDoc(prompt))
    ).toBe(prompt);

    expect(plainTextToAgentRichTextDoc(prompt)).toEqual({
      type: "doc",
      content: [
        {
          type: "paragraph",
          content: [
            { type: "text", text: AGENT_RICH_TEXT_CARET_ANCHOR },
            {
              type: "agentFileMention",
              attrs: {
                kind: "workspace-app-factory",
                href: "mention://workspace-app-factory/create",
                workspaceId: "",
                targetId: "create",
                jobId: "",
                name: "Create App",
                action: "",
                contextPath: ""
              }
            },
            { type: "text", text: " Create a weather app." }
          ]
        }
      ]
    });
  });

  it("does not export hydrated mention presentation into prompt text", () => {
    expect(
      agentRichTextDocToPromptText({
        type: "doc",
        content: [
          {
            type: "paragraph",
            content: [
              {
                type: "agentFileMention",
                attrs: {
                  kind: "workspace-app",
                  href: "mention://workspace-app/weather?workspaceId=room-1",
                  workspaceId: "room-1",
                  targetId: "weather",
                  appId: "weather",
                  name: "Weather",
                  iconUrl: "data:image/png;base64,abc"
                }
              },
              { type: "text", text: " " },
              {
                type: "agentFileMention",
                attrs: {
                  kind: "agent-target",
                  href: "mention://agent-target/shared-agent:1?workspaceId=room-1",
                  workspaceId: "room-1",
                  targetId: "shared-agent:1",
                  name: "Review Agent",
                  agentProviderId: "codex",
                  iconUrl: "data:image/png;base64,agent"
                }
              },
              { type: "text", text: " " },
              {
                type: "agentFileMention",
                attrs: {
                  kind: "workspace-issue",
                  href: "mention://workspace-issue/issue-1?workspaceId=room-1",
                  workspaceId: "room-1",
                  targetId: "issue-1",
                  name: "Task Center",
                  iconUrl: "data:image/png;base64,issue"
                }
              }
            ]
          }
        ]
      })
    ).toBe(
      "[@Weather](mention://workspace-app/weather?workspaceId=room-1) " +
        "[@Review Agent](mention://agent-target/shared-agent:1?workspaceId=room-1) " +
        "[@Task Center](mention://workspace-issue/issue-1?workspaceId=room-1)"
    );
  });

  it("hydrates known skill triggers into skill token nodes", () => {
    const prompt = "Use /caveman and keep /compact";
    const doc = plainTextToAgentRichTextDoc(prompt, {
      skills: [
        {
          name: "caveman",
          trigger: "$caveman",
          sourceKind: "personal"
        }
      ]
    });

    expect(agentRichTextDocToPromptText(doc)).toBe(prompt);
    expect(doc).toEqual({
      type: "doc",
      content: [
        {
          type: "paragraph",
          content: [
            { type: "text", text: "Use " },
            {
              type: "agentSkillToken",
              attrs: {
                label: "caveman",
                name: "caveman",
                trigger: "/caveman"
              }
            },
            { type: "text", text: " and keep /compact" }
          ]
        }
      ]
    });
  });

  it("does not build skill candidates for ordinary text", () => {
    let iterationCount = 0;
    const skills = new Proxy(
      [
        {
          name: "caveman",
          sourceKind: "personal" as const,
          trigger: "$caveman"
        }
      ],
      {
        get(target, property, receiver) {
          if (property === Symbol.iterator) {
            iterationCount += 1;
          }
          return Reflect.get(target, property, receiver);
        }
      }
    );

    plainTextToAgentRichTextDoc("ordinary words without a token", { skills });

    expect(iterationCount).toBe(0);
  });

  it("hydrates known capability triggers into capability token nodes", () => {
    const prompt = "Use /browser and keep /compact";
    const richTextOptions = {
      capabilities: [
        {
          capability: "browserUse",
          label: "浏览器",
          name: "browser",
          trigger: "/browser"
        }
      ]
    };
    const doc = plainTextToAgentRichTextDoc(prompt, richTextOptions);

    expect(agentRichTextDocToPromptText(doc)).toBe(prompt);
    expect(doc).toEqual({
      type: "doc",
      content: [
        {
          type: "paragraph",
          content: [
            { type: "text", text: "Use " },
            {
              type: "agentCapabilityToken",
              attrs: {
                capability: "browserUse",
                label: "浏览器",
                name: "browser",
                trigger: "/browser"
              }
            },
            { type: "text", text: " and keep /compact" }
          ]
        }
      ]
    });
  });
});