import type { AgentMessage } from "@mariozechner/pi-agent-core";
import type { AssistantMessage, ToolResultMessage, UserMessage } from "@mariozechner/pi-ai";
import { describe, expect, it } from "vitest";
import {
  sanitizeGoogleTurnOrdering,
  sanitizeSessionMessagesImages,
} from "./pi-embedded-helpers.js";
import { castAgentMessages } from "./test-helpers/agent-message-fixtures.js";

let testTimestamp = 1;
const nextTimestamp = () => testTimestamp++;

function makeToolCallResultPairInput(): Array<AssistantMessage | ToolResultMessage> {
  return [
    {
      role: "assistant",
      content: [
        {
          type: "toolCall",
          id: "call_123|fc_456",
          name: "read",
          arguments: { path: "package.json" },
        },
      ],
      api: "openai-responses",
      provider: "openai",
      model: "gpt-5.2",
      usage: {
        input: 0,
        output: 0,
        cacheRead: 0,
        cacheWrite: 0,
        totalTokens: 0,
        cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0, total: 0 },
      },
      stopReason: "toolUse",
      timestamp: nextTimestamp(),
    },
    {
      role: "toolResult",
      toolCallId: "call_123|fc_456",
      toolName: "read",
      content: [{ type: "text", text: "ok" }],
      isError: false,
      timestamp: nextTimestamp(),
    },
  ];
}

function expectToolCallAndResultIds(out: AgentMessage[], expectedId: string) {
  const assistant = out[0];
  expect(assistant.role).toBe("assistant");
  const assistantContent = assistant.role === "assistant" ? assistant.content : [];
  const toolCall = assistantContent.find((block) => block.type === "toolCall");
  expect(toolCall?.id).toBe(expectedId);

  const toolResult = out[1];
  expect(toolResult.role).toBe("toolResult");
  if (toolResult.role === "toolResult") {
    expect(toolResult.toolCallId).toBe(expectedId);
  }
}

function expectSingleAssistantContentEntry(
  out: AgentMessage[],
  expectEntry: (entry: { type?: string; text?: string }) => void,
) {
  expect(out).toHaveLength(1);
  expect(out[0]?.role).toBe("assistant");
  const content = out[0]?.role === "assistant" ? out[0].content : [];
  expect(content).toHaveLength(1);
  expectEntry((content as Array<{ type?: string; text?: string }>)[0] ?? {});
}

describe("sanitizeSessionMessagesImages", () => {
  it("keeps tool call + tool result IDs unchanged by default", async () => {
    const input = makeToolCallResultPairInput();

    const out = await sanitizeSessionMessagesImages(input, "test");

    expectToolCallAndResultIds(out, "call_123|fc_456");
  });

  it("sanitizes tool call + tool result IDs in strict mode (alphanumeric only)", async () => {
    const input = makeToolCallResultPairInput();

    const out = await sanitizeSessionMessagesImages(input, "test", {
      sanitizeToolCallIds: true,
      toolCallIdMode: "strict",
    });

    // Strict mode strips all non-alphanumeric characters
    expectToolCallAndResultIds(out, "call123fc456");
  });

  it("does not synthesize tool call input when missing", async () => {
    const input = castAgentMessages([
      {
        role: "assistant",
        content: [{ type: "toolCall", id: "call_1", name: "read" }],
        api: "openai-responses",
        provider: "openai",
        model: "gpt-5.2",
        usage: {
          input: 0,
          output: 0,
          cacheRead: 0,
          cacheWrite: 0,
          totalTokens: 0,
          cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0, total: 0 },
        },
        stopReason: "toolUse",
        timestamp: nextTimestamp(),
      },
    ]);

    const out = await sanitizeSessionMessagesImages(input, "test");
    const assistant = out[0] as { content?: Array<Record<string, unknown>> };
    const toolCall = assistant.content?.find((b) => b.type === "toolCall");
    expect(toolCall).toBeTruthy();
    expect("input" in (toolCall ?? {})).toBe(false);
    expect("arguments" in (toolCall ?? {})).toBe(false);
  });

  it("removes empty assistant text blocks but preserves tool calls", async () => {
    const input = castAgentMessages([
      {
        role: "assistant",
        content: [
          { type: "text", text: "" },
          { type: "toolCall", id: "call_1", name: "read", arguments: {} },
        ],
        api: "openai-responses",
        provider: "openai",
        model: "gpt-5.2",
        usage: {
          input: 0,
          output: 0,
          cacheRead: 0,
          cacheWrite: 0,
          totalTokens: 0,
          cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0, total: 0 },
        },
        stopReason: "toolUse",
        timestamp: nextTimestamp(),
      },
    ]);

    const out = await sanitizeSessionMessagesImages(input, "test");

    expectSingleAssistantContentEntry(out, (entry) => {
      expect(entry.type).toBe("toolCall");
    });
  });

  it("sanitizes tool ids in strict mode (alphanumeric only)", async () => {
    const input = castAgentMessages([
      {
        role: "assistant",
        content: [
          { type: "toolUse", id: "call_abc|item:123", name: "test", input: {} },
          {
            type: "toolCall",
            id: "call_abc|item:456",
            name: "exec",
            arguments: {},
          },
        ],
      },
      {
        role: "toolResult",
        toolUseId: "call_abc|item:123",
        content: [{ type: "text", text: "ok" }],
      },
    ]);

    const out = await sanitizeSessionMessagesImages(input, "test", {
      sanitizeToolCallIds: true,
      toolCallIdMode: "strict",
    });

    // Strict mode strips all non-alphanumeric characters
    const assistant = out[0] as { content?: Array<{ id?: string }> };
    expect(assistant.content?.[0]?.id).toBe("callabcitem123");
    expect(assistant.content?.[1]?.id).toBe("callabcitem456");

    const toolResult = out[1] as { toolUseId?: string };
    expect(toolResult.toolUseId).toBe("callabcitem123");
  });

  it("sanitizes tool IDs in images-only mode when explicitly enabled", async () => {
    const input = castAgentMessages([
      {
        role: "assistant",
        content: [{ type: "toolCall", id: "call_123|fc_456", name: "read", arguments: {} }],
        api: "openai-responses",
        provider: "openai",
        model: "gpt-5.2",
        usage: {
          input: 0,
          output: 0,
          cacheRead: 0,
          cacheWrite: 0,
          totalTokens: 0,
          cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0, total: 0 },
        },
        stopReason: "toolUse",
        timestamp: nextTimestamp(),
      },
      {
        role: "toolResult",
        toolCallId: "call_123|fc_456",
        toolName: "read",
        content: [{ type: "text", text: "ok" }],
        isError: false,
        timestamp: nextTimestamp(),
      },
    ]);

    const out = await sanitizeSessionMessagesImages(input, "test", {
      sanitizeMode: "images-only",
      sanitizeToolCallIds: true,
      toolCallIdMode: "strict",
    });

    const assistant = out[0];
    const toolCall =
      assistant?.role === "assistant"
        ? assistant.content.find((b) => b.type === "toolCall")
        : undefined;
    expect(toolCall?.id).toBe("call123fc456");

    const toolResult = out[1];
    expect(toolResult?.role).toBe("toolResult");
    if (toolResult?.role === "toolResult") {
      expect(toolResult.toolCallId).toBe("call123fc456");
    }
  });
  it("filters whitespace-only assistant text blocks", async () => {
    const input = castAgentMessages([
      {
        role: "assistant",
        content: [
          { type: "text", text: "   " },
          { type: "text", text: "ok" },
        ],
        api: "openai-responses",
        provider: "openai",
        model: "gpt-5.2",
        usage: {
          input: 0,
          output: 0,
          cacheRead: 0,
          cacheWrite: 0,
          totalTokens: 0,
          cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0, total: 0 },
        },
        stopReason: "stop",
        timestamp: nextTimestamp(),
      },
    ]);

    const out = await sanitizeSessionMessagesImages(input, "test");

    expectSingleAssistantContentEntry(out, (entry) => {
      expect(entry.text).toBe("ok");
    });
  });
  it("drops assistant messages that only contain empty text", async () => {
    const input = castAgentMessages([
      { role: "user", content: "hello", timestamp: nextTimestamp() } satisfies UserMessage,
      {
        role: "assistant",
        content: [{ type: "text", text: "" }],
        api: "openai-responses",
        provider: "openai",
        model: "gpt-5.2",
        usage: {
          input: 0,
          output: 0,
          cacheRead: 0,
          cacheWrite: 0,
          totalTokens: 0,
          cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0, total: 0 },
        },
        stopReason: "stop",
        timestamp: nextTimestamp(),
      } satisfies AssistantMessage,
    ]);

    const out = await sanitizeSessionMessagesImages(input, "test");

    expect(out).toHaveLength(1);
    expect(out[0]?.role).toBe("user");
  });
  it("keeps empty assistant error messages", async () => {
    const input = castAgentMessages([
      { role: "user", content: "hello", timestamp: nextTimestamp() } satisfies UserMessage,
      {
        role: "assistant",
        stopReason: "error",
        content: [],
        api: "openai-responses",
        provider: "openai",
        model: "gpt-5.2",
        usage: {
          input: 0,
          output: 0,
          cacheRead: 0,
          cacheWrite: 0,
          totalTokens: 0,
          cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0, total: 0 },
        },
        timestamp: nextTimestamp(),
      } satisfies AssistantMessage,
      {
        role: "assistant",
        stopReason: "error",
        content: [],
        api: "openai-responses",
        provider: "openai",
        model: "gpt-5.2",
        usage: {
          input: 0,
          output: 0,
          cacheRead: 0,
          cacheWrite: 0,
          totalTokens: 0,
          cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0, total: 0 },
        },
        timestamp: nextTimestamp(),
      } satisfies AssistantMessage,
    ]);

    const out = await sanitizeSessionMessagesImages(input, "test");

    expect(out).toHaveLength(3);
    expect(out[0]?.role).toBe("user");
    expect(out[1]?.role).toBe("assistant");
    expect(out[2]?.role).toBe("assistant");
  });
  it("leaves non-assistant messages unchanged", async () => {
    const input = [
      { role: "user", content: "hello", timestamp: nextTimestamp() } satisfies UserMessage,
      {
        role: "toolResult",
        toolCallId: "tool-1",
        toolName: "read",
        isError: false,
        content: [{ type: "text", text: "result" }],
        timestamp: nextTimestamp(),
      } satisfies ToolResultMessage,
    ];

    const out = await sanitizeSessionMessagesImages(input, "test");

    expect(out).toHaveLength(2);
    expect(out[0]?.role).toBe("user");
    expect(out[1]?.role).toBe("toolResult");
  });

  describe("thought_signature stripping", () => {
    it("strips msg_-prefixed thought_signature from assistant message content blocks", async () => {
      const input = castAgentMessages([
        {
          role: "assistant",
          content: [
            { type: "text", text: "hello", thought_signature: "msg_abc123" },
            {
              type: "thinking",
              thinking: "reasoning",
              thought_signature: "AQID",
            },
          ],
        },
      ]);

      const out = await sanitizeSessionMessagesImages(input, "test");

      expect(out).toHaveLength(1);
      const content = (out[0] as { content?: unknown[] }).content;
      expect(content).toHaveLength(2);
      expect("thought_signature" in ((content?.[0] ?? {}) as object)).toBe(false);
      expect((content?.[1] as { thought_signature?: unknown })?.thought_signature).toBe("AQID");
    });
  });
});

describe("sanitizeGoogleTurnOrdering", () => {
  it("prepends a synthetic user turn when history starts with assistant", () => {
    const input = castAgentMessages([
      {
        role: "assistant",
        content: [{ type: "toolCall", id: "call_1", name: "exec", arguments: {} }],
      },
    ]);

    const out = sanitizeGoogleTurnOrdering(input);
    expect(out[0]?.role).toBe("user");
    expect(out[1]?.role).toBe("assistant");
  });
  it("is a no-op when history starts with user", () => {
    const input = castAgentMessages([{ role: "user", content: "hi" }]);
    const out = sanitizeGoogleTurnOrdering(input);
    expect(out).toBe(input);
  });
});
