// @effect-diagnostics nodeBuiltinImport:off - exercise the real byte reader.
import * as NodeFSP from "node:fs/promises";
import * as NodeOS from "node:os";
import * as NodePath from "node:path";

import { afterEach, beforeEach, describe, expect, it } from "@effect/vitest";

import { TEST_FORMATS } from "./usageTestFormats.ts";
import {
  readTranscriptRecords as readWithDefaultThreshold,
  type TranscriptParsePosition,
} from "./usageTranscriptReader.ts";

const readTranscriptRecords = (
  path: string,
  provider: keyof typeof TEST_FORMATS,
  position?: TranscriptParsePosition,
) =>
  readWithDefaultThreshold(path, TEST_FORMATS[provider], position, {
    streamingThresholdBytes: 256 * 1024,
  });

let dir: string;
beforeEach(async () => {
  dir = await NodeFSP.mkdtemp(NodePath.join(NodeOS.tmpdir(), "usage-stream-"));
});
afterEach(async () => {
  await NodeFSP.rm(dir, { recursive: true, force: true });
});

const timestamp = "2026-08-01T10:00:00Z";
const content = '工具 output \\" usage token_count '.repeat(40_000);
const claude = (id = "m1", output = 99) => ({
  type: "assistant",
  timestamp,
  sessionId: "s1",
  requestId: `r-${id}`,
  costUSD: 0.25,
  message: {
    content: [{ type: "tool_use", input: { text: content } }],
    id,
    model: "claude-fable-5",
    usage: {
      input_tokens: 100,
      output_tokens: output,
      cache_read_input_tokens: 20,
      cache_creation_input_tokens: 5,
      speed: "fast",
    },
  },
});
const codex = [
  { type: "session_meta", timestamp, payload: { id: "s1", model_provider: "openai" } },
  { type: "turn_context", timestamp, payload: { model: "gpt-5.6-sol", turn_id: "initial-turn" } },
  {
    type: "event_msg",
    timestamp,
    payload: {
      type: "token_count",
      info: {
        last_token_usage: {
          input_tokens: 100,
          output_tokens: 99,
          cached_input_tokens: 20,
          cache_write_input_tokens: 5,
          reasoning_output_tokens: 10,
        },
      },
    },
  },
];
const grok = {
  timestamp: 1785578400,
  params: {
    sessionId: "s1",
    _meta: { agentTimestampMs: 1785578400123 },
    update: {
      sessionUpdate: "turn_completed",
      prompt_id: "p1",
      usage: {
        inputTokens: 100,
        outputTokens: 99,
        costUsdTicks: 2500000000,
        modelUsage: {
          "grok-4.5-build": {
            inputTokens: 100,
            outputTokens: 99,
            cachedReadTokens: 20,
            cacheCreationTokens: 5,
            reasoningTokens: 10,
          },
        },
      },
    },
  },
};

async function scan(
  lines: readonly unknown[],
  provider: keyof typeof TEST_FORMATS,
  name = "history",
) {
  const path = NodePath.join(dir, `${name}.jsonl`);
  await NodeFSP.writeFile(path, lines.map((line) => JSON.stringify(line)).join("\n") + "\n");
  const result = await readTranscriptRecords(path, provider);
  expect(result).not.toBeNull();
  return result!;
}

describe("large usage records", () => {
  it("streams Muse completion envelopes and resumes a partial appended event", async () => {
    const entry = {
      schema_version: 1,
      record_type: "event",
      payload_type: "runtime.session",
      payload_schema_version: 3,
      id: "envelope-1",
      recorded_at: 1_785_578_400_123_456,
      stream: { kind: "session", id: "parent" },
      payload: {
        source_run_record_id: "inference-1",
        event: {
          kind: "automated_review_completed",
          model: { model_id: "review-model" },
          usage: {
            input_tokens: 100,
            cached_input_tokens: 60,
            output_tokens: 20,
            reasoning_tokens: 8,
          },
        },
      },
    };
    const small = await scan([entry], "muse", "small-muse");
    expect(small.records[0]?.totals).toMatchObject({
      uncachedInputTokens: 40,
      cachedInputTokens: 60,
    });
    const path = NodePath.join(dir, "large-muse.jsonl");
    await NodeFSP.writeFile(path, JSON.stringify({ ...entry, discarded: { content } }) + "\n");
    const large = await readTranscriptRecords(path, "muse");
    expect(large?.records).toEqual(small.records);
    const appended = JSON.stringify({
      ...entry,
      id: "envelope-2",
      payload: { ...entry.payload, source_run_record_id: "inference-2" },
    });
    await NodeFSP.appendFile(path, appended.slice(0, -7));
    const partial = await readTranscriptRecords(path, "muse", large!.position);
    expect(partial?.records).toEqual([]);
    await NodeFSP.appendFile(path, appended.slice(-7) + "\n");
    const completed = await readTranscriptRecords(path, "muse", partial!.position);
    expect(completed?.records).toHaveLength(1);
    expect(completed?.records[0]?.dedupeKey).not.toBe(large?.records[0]?.dedupeKey);
    expect(completed?.records[0]?.totals).toEqual(small.records[0]?.totals);
  });

  it("keeps Pi model, cost, and fork identity after large assistant content", async () => {
    const entry = {
      type: "message",
      id: "a123abcd",
      timestamp,
      message: {
        role: "assistant",
        provider: "anthropic",
        model: "requested",
        responseModel: "actual",
        content: [{ type: "text", text: content }],
        usage: {
          input: 100,
          output: 99,
          cacheRead: 20,
          cacheWrite: 5,
          reasoning: 10,
          cost: { total: 0.25 },
        },
      },
    };
    const result = await scan([{ type: "session", id: "pi-session" }, entry], "pi");
    expect(result.records).toEqual([
      {
        provider: "pi",
        model: "anthropic/actual",
        rateModel: "actual",
        sessionId: "pi-session",
        timestampMs: Date.parse(timestamp),
        totals: {
          uncachedInputTokens: 100,
          outputTokens: 99,
          cachedInputTokens: 20,
          cacheCreationTokens: 5,
          reasoningTokens: 10,
        },
        reportedCostUsd: 0.25,
        speed: "standard",
        dedupeKey: JSON.stringify(["pi", entry.id, timestamp, "anthropic/actual"]),
      },
    ]);
  });

  it("keeps usage after large Claude tool input, including fast-mode cost and dedupe metadata", async () => {
    const result = await scan([claude()], "claude");
    expect(result.records).toEqual([
      {
        provider: "claude",
        timestampMs: Date.parse(timestamp),
        sessionId: "s1",
        model: "claude-fable-5",
        totals: {
          uncachedInputTokens: 100,
          outputTokens: 99,
          cachedInputTokens: 20,
          cacheCreationTokens: 5,
          reasoningTokens: 0,
        },
        reportedCostUsd: 0.25,
        speed: "fast",
        dedupeKey: "m1:r-m1",
      },
    ]);
  });

  it.each(["claude", "codex", "grok"] as const)(
    "matches ordinary %s records with large irrelevant fields in either order",
    async (provider) => {
      const small =
        provider === "codex"
          ? codex
          : provider === "grok"
            ? [grok]
            : [{ ...claude(), message: { ...claude().message, content: [] } }];
      const expected = await scan(small, provider, "small");
      for (const first of [true, false]) {
        const large = small.map((record) =>
          first ? { padding: content, ...record } : { ...record, padding: content },
        );
        const actual = await scan(large, provider);
        expect(actual.records).toEqual(expected.records);
        expect(actual.position.state).toEqual(expected.position.state);
      }
    },
  );

  it("preserves Grok model allocation, precise timestamp and prompt identity", async () => {
    const result = await scan([{ padding: content, ...grok }], "grok");
    expect(result.records[0]).toMatchObject({
      timestampMs: 1785578400123,
      model: "grok-4.5-build",
      sessionId: "s1",
      totals: {
        uncachedInputTokens: 75,
        cachedInputTokens: 20,
        cacheCreationTokens: 5,
        outputTokens: 99,
        reasoningTokens: 10,
      },
      dedupeKey: "s1:p1:grok-4.5-build",
      reportedCostUsd: 0.25,
    });
  });

  it("does not count usage-looking text or nested objects inside tool output", async () => {
    const result = await scan(
      [
        { type: "user", padding: content, toolOutput: claude() },
        { padding: content, message: { content: JSON.stringify(claude()) } },
        { type: "assistant", timestamp, message: { model: "claude-fable-5", content: [claude()] } },
      ],
      "claude",
    );
    expect(result.records).toEqual([]);
  });

  it("replays partial UTF-8 and JSON tails, commits exact CRLF offsets, and replaces the tail once", async () => {
    const path = NodePath.join(dir, "tail.jsonl");
    const first = JSON.stringify(claude("first", 5)) + "\r\n";
    const second = Buffer.from(JSON.stringify(claude("second", 7)));
    const split = second.lastIndexOf(Buffer.from("工具")) + 1;
    await NodeFSP.writeFile(path, Buffer.concat([Buffer.from(first), second.subarray(0, split)]));
    const partial = await readTranscriptRecords(path, "claude");
    expect(partial?.records.map((r) => r.totals.outputTokens)).toEqual([5]);
    expect(partial?.tailRecords).toEqual([]);
    expect(partial?.position.resumeOffset).toBe(Buffer.byteLength(first));
    await NodeFSP.appendFile(path, second.subarray(split));
    const complete = await readTranscriptRecords(path, "claude", partial!.position);
    expect(complete?.resumed).toBe(true);
    expect(complete?.records).toEqual([]);
    expect(complete?.tailRecords.map((r) => r.totals.outputTokens)).toEqual([7]);
    expect(complete?.position.resumeOffset).toBe(Buffer.byteLength(first));
    await NodeFSP.appendFile(path, "\r\n" + JSON.stringify(claude("third", 11)) + "\n");
    const appended = await readTranscriptRecords(path, "claude", complete!.position);
    expect(appended?.records.map((r) => r.totals.outputTokens)).toEqual([7, 11]);
    expect(appended?.tailRecords).toEqual([]);
    expect(appended?.position.resumeOffset).toBe((await NodeFSP.stat(path)).size);
    const full = await readTranscriptRecords(path, "claude");
    expect([...partial!.records, ...appended!.records]).toEqual(full?.records);
  });

  it("preserves Codex model switches and duplicate suppression across streaming resumes", async () => {
    const path = NodePath.join(dir, "history.jsonl");
    const first = await scan(
      codex.map((record) => ({ padding: "x".repeat(9 * 1024 * 1024), ...record })),
      "codex",
    );
    expect(first.records[0]).toMatchObject({
      sessionId: "s1",
      model: "gpt-5.6-sol",
      unresolvedServiceTierTurnId: "initial-turn",
    });
    await NodeFSP.appendFile(
      path,
      [
        { padding: content, ...codex[2] },
        { type: "turn_context", payload: { padding: content, model: "gpt-6" } },
        {
          type: "event_msg",
          timestamp,
          payload: {
            type: "token_count",
            padding: content,
            info: { last_token_usage: { input_tokens: 200, output_tokens: 101 } },
          },
        },
      ]
        .map((line) => JSON.stringify(line))
        .join("\n") + "\n",
    );
    const result = await readTranscriptRecords(path, "codex", first.position);
    expect(result?.resumed).toBe(true);
    expect(result?.records).toHaveLength(1);
    expect(result?.records[0]).toMatchObject({
      model: "gpt-6",
      sessionId: "s1",
      totals: { outputTokens: 101 },
    });
    expect(result?.records[0]).not.toHaveProperty("unresolvedServiceTierTurnId");
    const full = await readTranscriptRecords(path, "codex");
    expect([...first.records, ...result!.records]).toEqual(full?.records);
  });

  it.each(["forked_from_id", "source"])(
    "preserves Codex fork-copy suppression from %s",
    async (field) => {
      const fork =
        field === "source"
          ? { source: { subagent: { thread_spawn: { parent_thread_id: "parent" } } } }
          : { forked_from_id: "parent" };
      const lines = [
        { type: "session_meta", timestamp, payload: { padding: content, id: "child", ...fork } },
        codex[1],
        codex[2],
        {
          ...codex[2],
          timestamp: "2026-08-01T10:00:05Z",
          payload: {
            type: "token_count",
            info: { last_token_usage: { input_tokens: 100, output_tokens: 101 } },
          },
        },
      ];
      const result = await scan(lines, "codex");
      expect(result.records).toHaveLength(1);
      expect(result.records[0]).toMatchObject({
        sessionId: "child",
        totals: { outputTokens: 101 },
      });
    },
  );

  it("rejects malformed large lines without accepting partial usage or losing following lines", async () => {
    const valid = JSON.stringify(claude());
    const path = NodePath.join(dir, "broken.jsonl");
    await NodeFSP.writeFile(
      path,
      [valid + " junk", valid.slice(0, -1), valid + valid, JSON.stringify(claude("good", 7))].join(
        "\n",
      ) + "\n",
    );
    const result = await readTranscriptRecords(path, "claude");
    expect(result?.records.map((r) => r.totals.outputTokens)).toEqual([7]);
  });

  it("matches JSON.parse for reordered and escaped keys, duplicate fields, arrays and unknown key names", async () => {
    const path = NodePath.join(dir, "odd.jsonl");
    const small = JSON.stringify({ ...claude(), message: { ...claude().message, content: [] } });
    const variants = [
      small.replace('"message":', '"mess\\u0061ge":'),
      small.replace('"costUSD":0.25', '"costUSD":5,"costUSD":0.25'),
      small.replace('"type":"assistant"', '"type":"user","type":"assistant"'),
      small.replace('"message":', '"__proto__":{"type":"user"},"message":'),
      small.replace('"message":', '"message.usage":{"output_tokens":1234},"message":'),
    ];
    for (const line of variants) {
      await NodeFSP.writeFile(path, line + "\n");
      const expected = await readTranscriptRecords(path, "claude");
      await NodeFSP.writeFile(
        path,
        '{"padding":' + JSON.stringify(content) + "," + line.slice(1) + "\n",
      );
      const actual = await readTranscriptRecords(path, "claude");
      expect(actual?.records).toEqual(expected?.records);
    }
  });
  it("reads usage after deeply nested discarded tool content", async () => {
    const path = NodePath.join(dir, "deep.jsonl");
    const record = JSON.stringify(claude());
    const nested = "[".repeat(300) + "0" + "]".repeat(300);
    await NodeFSP.writeFile(path, '{"toolOutput":' + nested + "," + record.slice(1) + "\n");
    const result = await readTranscriptRecords(path, "claude");
    expect(result?.records[0]?.totals.outputTokens).toBe(99);
  });

  it("keeps JSON number semantics for non-finite values without serializing them into null", async () => {
    const path = NodePath.join(dir, "numbers.jsonl");
    const record = JSON.stringify(claude()).replace('"costUSD":0.25', '"costUSD":1e400');
    await NodeFSP.writeFile(path, record + "\n");
    const result = await readTranscriptRecords(path, "claude");
    expect(result?.records[0]?.reportedCostUsd).toBeNull();
    expect(result?.records[0]?.totals.outputTokens).toBe(99);
  });
});