import { describe, expect, it } from "vitest";
import type { AgentMessage } from "../runtime/index.js";
import { makeAgentAssistantMessage } from "../test-helpers/agent-message-fixtures.js";
import { createZeroUsageFixture } from "../test-helpers/usage-fixtures.js";
import { AgentSession } from "./agent-session.js";

describe("AgentSession context usage", () => {
  it("reports unknown usage after a provider checkpoint until a later measured response", () => {
    const owner = makeAgentAssistantMessage({ content: [{ type: "text", text: "covered" }] });
    owner.usage = {
      ...owner.usage,
      input: 90_000,
      totalTokens: 90_000,
      contextUsage: { state: "available", promptTokens: 90_000, totalTokens: 90_000 },
    };
    owner.providerReplay = {
      v: 1,
      type: "openai-responses-retained-compaction",
      data: "opaque",
      provider: owner.provider,
      api: owner.api,
      model: owner.model,
      baseUrlHash: "hash",
    };
    const messages: AgentMessage[] = [owner];
    const branchEntries = [{ type: "message", id: "checkpoint-owner", message: owner }];
    const session = {
      model: { contextWindow: 100_000 },
      messages,
      sessionManager: { getBranch: () => branchEntries },
    } as unknown as AgentSession;
    expect(AgentSession.prototype.getContextUsage.call(session)).toEqual({
      tokens: null,
      contextWindow: 100_000,
      percent: null,
    });
    const later = makeAgentAssistantMessage({ content: [{ type: "text", text: "later" }] });
    later.usage = {
      ...later.usage,
      input: 8_000,
      totalTokens: 8_000,
      contextUsage: { state: "available", promptTokens: 8_000, totalTokens: 8_000 },
    };
    messages.push(later);
    branchEntries.push({ type: "message", id: "later", message: later });
    expect(AgentSession.prototype.getContextUsage.call(session)?.tokens).toBe(8_000);
  });

  it("preserves an earlier exact snapshot when unavailable usage precedes any compaction", () => {
    const messages = [
      {
        role: "assistant",
        content: [{ type: "text", text: "large exact response" }],
        stopReason: "stop",
        usage: {
          ...createZeroUsageFixture(),
          input: 180_000,
          output: 10_000,
          totalTokens: 190_000,
          contextUsage: {
            state: "available" as const,
            promptTokens: 180_000,
            totalTokens: 190_000,
          },
        },
      },
      { role: "user", content: "small follow-up" },
      {
        role: "assistant",
        content: [{ type: "text", text: "small answer" }],
        stopReason: "stop",
        usage: {
          ...createZeroUsageFixture(),
          input: 12,
          output: 8,
          cacheRead: 180_000,
          totalTokens: 180_020,
          contextUsage: { state: "unavailable" as const },
        },
      },
    ] as unknown as AgentMessage[];

    const usage = AgentSession.prototype.getContextUsage.call({
      model: { contextWindow: 200_000 },
      messages,
      sessionManager: { getBranch: () => [] },
    } as unknown as AgentSession);

    expect(usage?.tokens).toBeGreaterThan(190_000);
  });

  it("uses a content estimate after compaction when provider context usage is unavailable", () => {
    const unavailableUsage = {
      ...createZeroUsageFixture(),
      input: 12,
      output: 15_104,
      cacheRead: 819_661,
      cacheWrite: 93_130,
      totalTokens: 927_907,
      contextUsage: { state: "unavailable" as const },
    };
    const messages = [
      {
        role: "assistant",
        content: [{ type: "text", text: "retained answer" }],
        stopReason: "stop",
        usage: {
          ...unavailableUsage,
          contextUsage: {
            state: "available" as const,
            promptTokens: 120_000,
            totalTokens: 125_000,
          },
        },
      },
      { role: "user", content: "new prompt" },
      {
        role: "assistant",
        content: [{ type: "text", text: "new answer" }],
        stopReason: "stop",
        usage: unavailableUsage,
      },
    ] as unknown as AgentMessage[];
    const branchEntries = [
      {
        type: "compaction",
        id: "compact-1",
        parentId: null,
        timestamp: "2026-07-05T00:00:00.000Z",
        summary: "summary",
        firstKeptEntryId: "assistant-old",
        tokensBefore: 120_000,
      },
      {
        type: "message",
        id: "assistant-new",
        parentId: "compact-1",
        timestamp: "2026-07-05T00:00:01.000Z",
        message: messages[2],
      },
    ];

    const usage = AgentSession.prototype.getContextUsage.call({
      model: { contextWindow: 200_000 },
      messages,
      sessionManager: { getBranch: () => branchEntries },
    } as unknown as AgentSession);

    expect(usage?.tokens).not.toBeNull();
    expect(usage?.tokens).toBeLessThan(1_000);
  });

  it("preserves an earlier exact post-compaction snapshot before an unavailable response", () => {
    const exactUsage = {
      ...createZeroUsageFixture(),
      input: 180_000,
      output: 10_000,
      totalTokens: 190_000,
      contextUsage: {
        state: "available" as const,
        promptTokens: 180_000,
        totalTokens: 190_000,
      },
    };
    const messages = [
      {
        role: "assistant",
        content: [{ type: "text", text: "exact post-compaction answer" }],
        stopReason: "stop",
        usage: exactUsage,
      },
      { role: "user", content: "small follow-up" },
      {
        role: "assistant",
        content: [{ type: "text", text: "small answer" }],
        stopReason: "stop",
        usage: {
          ...exactUsage,
          contextUsage: { state: "unavailable" as const },
        },
      },
    ] as unknown as AgentMessage[];
    const branchEntries = [
      {
        type: "compaction",
        id: "compact-1",
        parentId: null,
        timestamp: "2026-07-05T00:00:00.000Z",
        summary: "summary",
        firstKeptEntryId: "assistant-exact",
        tokensBefore: 120_000,
      },
      {
        type: "message",
        id: "assistant-exact",
        parentId: "compact-1",
        timestamp: "2026-07-05T00:00:01.000Z",
        message: messages[0],
      },
      {
        type: "message",
        id: "assistant-unavailable",
        parentId: "assistant-exact",
        timestamp: "2026-07-05T00:00:02.000Z",
        message: messages[2],
      },
    ];

    const usage = AgentSession.prototype.getContextUsage.call({
      model: { contextWindow: 200_000 },
      messages,
      sessionManager: { getBranch: () => branchEntries },
    } as unknown as AgentSession);

    expect(usage?.tokens).toBeGreaterThan(190_000);
  });

  it("preserves an earlier exact post-compaction snapshot before zero usage", () => {
    const exactUsage = {
      ...createZeroUsageFixture(),
      input: 180_000,
      output: 10_000,
      totalTokens: 190_000,
      contextUsage: {
        state: "available" as const,
        promptTokens: 180_000,
        totalTokens: 190_000,
      },
    };
    const zeroUsage = {
      ...createZeroUsageFixture(),
      contextUsage: { state: "available" as const, promptTokens: 0, totalTokens: 0 },
    };
    const messages = [
      {
        role: "assistant",
        content: [{ type: "text", text: "exact post-compaction answer" }],
        stopReason: "stop",
        usage: exactUsage,
      },
      { role: "user", content: "small follow-up" },
      {
        role: "assistant",
        content: [],
        stopReason: "stop",
        usage: zeroUsage,
      },
    ] as unknown as AgentMessage[];
    const branchEntries = [
      {
        type: "compaction",
        id: "compact-1",
        parentId: null,
        timestamp: "2026-07-05T00:00:00.000Z",
        summary: "summary",
        firstKeptEntryId: "assistant-exact",
        tokensBefore: 120_000,
      },
      {
        type: "message",
        id: "assistant-exact",
        parentId: "compact-1",
        timestamp: "2026-07-05T00:00:01.000Z",
        message: messages[0],
      },
      {
        type: "message",
        id: "assistant-zero",
        parentId: "assistant-exact",
        timestamp: "2026-07-05T00:00:02.000Z",
        message: messages[2],
      },
    ];

    const usage = AgentSession.prototype.getContextUsage.call({
      model: { contextWindow: 200_000 },
      messages,
      sessionManager: { getBranch: () => branchEntries },
    } as unknown as AgentSession);

    expect(usage?.tokens).toBeGreaterThan(190_000);
  });
});