/**
 * Kiro-specific constants and helpers.
 *
 * Mirrors the behaviour of `internal/translator/kiro/common/constants.go` and
 * `internal/translator/kiro/claude/kiro_claude_request.go` from the
 * CLIProxyAPIPlus reference implementation, scoped down to what 9router needs:
 *
 *   - `-agentic` model suffix detection + chunked-write system prompt
 *   - reasoning / thinking trigger detection (Anthropic-Beta header,
 *     Claude `thinking`, OpenAI `reasoning_effort`, AMP/Cursor magic tag)
 *   - the `<thinking_mode>enabled</thinking_mode>` system-prompt injection
 *     that turns Kiro reasoning on
 *
 * Kiro upstream does not advertise `-agentic` model IDs; they are a 9router
 * fiction. The suffix is stripped before the request leaves this process.
 */

export const KIRO_AGENTIC_SUFFIX = "-agentic";
export const KIRO_THINKING_SUFFIX = "-thinking";

// Public default CodeWhisperer profile ARNs (us-east-1), keyed by auth method.
// Used when an account cannot resolve its own profileArn. Builder ID and social
// (Google/GitHub) sign-ins map to different shared profiles.
export const KIRO_DEFAULT_PROFILE_ARNS = {
  "builder-id": "arn:aws:codewhisperer:us-east-1:638616132270:profile/AAAACCCCXXXX",
  social: "arn:aws:codewhisperer:us-east-1:699475941385:profile/EHGA3GRVQMUK",
};

// Back-compat single default (Builder ID).
export const KIRO_DEFAULT_PROFILE_ARN = KIRO_DEFAULT_PROFILE_ARNS["builder-id"];

/** Resolve the shared default profileArn for a given auth method. */
export function resolveDefaultProfileArn(authMethod) {
  const social = authMethod === "google" || authMethod === "github";
  return social ? KIRO_DEFAULT_PROFILE_ARNS.social : KIRO_DEFAULT_PROFILE_ARNS["builder-id"];
}

export const KIRO_THINKING_BUDGET_DEFAULT = 16000;

export const KIRO_AGENTIC_SYSTEM_PROMPT = `
# CRITICAL: CHUNKED WRITE PROTOCOL (MANDATORY)

You MUST follow these rules for ALL file operations. Violation causes server timeouts and task failure.

## ABSOLUTE LIMITS
- **MAXIMUM 350 LINES** per single write/edit operation - NO EXCEPTIONS
- **RECOMMENDED 300 LINES** or less for optimal performance
- **NEVER** write entire files in one operation if >300 lines

## MANDATORY CHUNKED WRITE STRATEGY

### For NEW FILES (>300 lines total):
1. FIRST: Write initial chunk (first 250-300 lines) using write_to_file/fsWrite
2. THEN: Append remaining content in 250-300 line chunks using file append operations
3. REPEAT: Continue appending until complete

### For EDITING EXISTING FILES:
1. Use surgical edits (apply_diff/targeted edits) - change ONLY what's needed
2. NEVER rewrite entire files - use incremental modifications
3. Split large refactors into multiple small, focused edits

### For LARGE CODE GENERATION:
1. Generate in logical sections (imports, types, functions separately)
2. Write each section as a separate operation
3. Use append operations for subsequent sections

## EXAMPLES OF CORRECT BEHAVIOR

CORRECT: Writing a 600-line file
- Operation 1: Write lines 1-300 (initial file creation)
- Operation 2: Append lines 301-600

CORRECT: Editing multiple functions
- Operation 1: Edit function A
- Operation 2: Edit function B
- Operation 3: Edit function C

WRONG: Writing 500 lines in single operation -> TIMEOUT
WRONG: Rewriting entire file to change 5 lines -> TIMEOUT
WRONG: Generating massive code blocks without chunking -> TIMEOUT

## WHY THIS MATTERS
- Server has 2-3 minute timeout for operations
- Large writes exceed timeout and FAIL completely
- Chunked writes are FASTER and more RELIABLE
- Failed writes waste time and require retry

REMEMBER: When in doubt, write LESS per operation. Multiple small operations > one large operation.
`.trim();

/**
 * Detect whether an inbound request is asking for reasoning / thinking output.
 *
 * Sources of intent (any one is enough):
 *   - HTTP header `Anthropic-Beta: ...interleaved-thinking...`
 *   - JSON `thinking.type === "enabled"` (Claude Messages API)
 *   - JSON `reasoning_effort` in {low, medium, high, auto} (OpenAI o1/o3)
 *   - JSON `reasoning.effort` in {low, medium, high, auto} (OpenAI Responses)
 *   - System prompt contains `<thinking_mode>enabled</thinking_mode>` or
 *     `<thinking_mode>interleaved</thinking_mode>` (AMP / Cursor)
 *   - Model name contains `thinking` or `-reason`
 *
 * @param {object} body OpenAI-shaped request body (post-translation)
 * @param {object} [headers] Original inbound HTTP headers (case-insensitive)
 * @param {string} [model] Model id the caller asked for (post-strip ok)
 * @returns {boolean}
 */
export function isThinkingEnabled(body, headers, model) {
  if (headers) {
    const beta = pickHeader(headers, "anthropic-beta");
    if (typeof beta === "string" && beta.toLowerCase().includes("interleaved-thinking")) {
      return true;
    }
  }

  if (body && typeof body === "object") {
    const thinking = body.thinking;
    if (thinking && typeof thinking === "object" && thinking.type === "enabled") {
      const budget = Number(thinking.budget_tokens);
      if (!Number.isFinite(budget) || budget > 0) {
        return true;
      }
    }

    const effort = body.reasoning_effort
      ?? (body.reasoning && typeof body.reasoning === "object" ? body.reasoning.effort : null);
    if (typeof effort === "string") {
      const v = effort.toLowerCase();
      if (v && v !== "none" && (v === "low" || v === "medium" || v === "high" || v === "auto")) {
        return true;
      }
    }

    if (containsThinkingModeTag(body)) {
      return true;
    }
  }

  if (typeof model === "string" && model) {
    const m = model.toLowerCase();
    if (m.includes("thinking") || m.includes("-reason")) {
      return true;
    }
  }

  return false;
}

/**
 * Detect whether a model id refers to a 9router synthetic agentic variant.
 * Agentic variants share the same upstream model as the base; the only
 * difference is the chunked-write system prompt this module injects.
 *
 * @param {string} model
 * @returns {boolean}
 */
export function isAgenticModel(model) {
  return typeof model === "string" && model.endsWith(KIRO_AGENTIC_SUFFIX);
}

/**
 * Strip the `-agentic` suffix from a model id, leaving the upstream-real id.
 *
 * @param {string} model
 * @returns {string}
 */
export function stripAgenticSuffix(model) {
  if (!isAgenticModel(model)) return model;
  return model.slice(0, -KIRO_AGENTIC_SUFFIX.length);
}

/**
 * Detect whether a model id is a 9router synthetic thinking variant
 * (e.g. `claude-sonnet-4.5-thinking`). Same upstream model as the base; the
 * only difference is `<thinking_mode>enabled</thinking_mode>` injection.
 *
 * Note: real Kiro thinking-capable variants exist (e.g. `kimi-k2-thinking` in
 * other providers), but for the `kr/` namespace there is no `-thinking`
 * model on Kiro upstream. Treat the suffix as a synthetic alias.
 *
 * @param {string} model Model id with `-agentic` already stripped
 * @returns {boolean}
 */
export function isThinkingModel(model) {
  return typeof model === "string" && model.endsWith(KIRO_THINKING_SUFFIX);
}

/**
 * Strip the `-thinking` suffix from a model id.
 *
 * @param {string} model
 * @returns {string}
 */
export function stripThinkingSuffix(model) {
  if (!isThinkingModel(model)) return model;
  return model.slice(0, -KIRO_THINKING_SUFFIX.length);
}

/**
 * Resolve a 9router model id to the real upstream Kiro model id, plus flags
 * describing which behaviours the suffixes implied.
 *
 *   resolveKiroModel("claude-sonnet-4.5-thinking-agentic")
 *     => { upstream: "claude-sonnet-4.5", agentic: true, thinking: true }
 *   resolveKiroModel("claude-sonnet-4.5-thinking")
 *     => { upstream: "claude-sonnet-4.5", agentic: false, thinking: true }
 *   resolveKiroModel("claude-sonnet-4.5-agentic")
 *     => { upstream: "claude-sonnet-4.5", agentic: true, thinking: false }
 *   resolveKiroModel("claude-sonnet-4.5")
 *     => { upstream: "claude-sonnet-4.5", agentic: false, thinking: false }
 *
 * @param {string} model
 * @returns {{ upstream: string, agentic: boolean, thinking: boolean }}
 */
export function resolveKiroModel(model) {
  let upstream = model;
  let agentic = false;
  let thinking = false;
  if (isAgenticModel(upstream)) {
    agentic = true;
    upstream = stripAgenticSuffix(upstream);
  }
  if (isThinkingModel(upstream)) {
    thinking = true;
    upstream = stripThinkingSuffix(upstream);
  }
  return { upstream, agentic, thinking };
}

/**
 * Build the magic system-prompt prefix that turns Kiro reasoning on.
 * Same shape as CLIProxyAPIPlus.
 *
 * @param {number} [budget=KIRO_THINKING_BUDGET_DEFAULT]
 */
export function buildThinkingSystemPrefix(budget = KIRO_THINKING_BUDGET_DEFAULT) {
  const safeBudget = Math.max(1, Math.min(32000, Number(budget) || KIRO_THINKING_BUDGET_DEFAULT));
  return `<thinking_mode>enabled</thinking_mode>\n<max_thinking_length>${safeBudget}</max_thinking_length>`;
}

function pickHeader(headers, name) {
  if (!headers) return undefined;
  if (typeof headers.get === "function") {
    return headers.get(name);
  }
  const lower = name.toLowerCase();
  for (const key of Object.keys(headers)) {
    if (key.toLowerCase() === lower) {
      return headers[key];
    }
  }
  return undefined;
}

function containsThinkingModeTag(body) {
  const messages = Array.isArray(body?.messages) ? body.messages : [];
  for (const msg of messages) {
    if (!msg) continue;
    if (msg.role !== "system" && msg.role !== "user") continue;
    const content = msg.content;
    if (typeof content === "string") {
      if (containsTagInText(content)) return true;
    } else if (Array.isArray(content)) {
      for (const part of content) {
        const text = part?.text;
        if (typeof text === "string" && containsTagInText(text)) return true;
      }
    }
  }
  if (typeof body?.system === "string" && containsTagInText(body.system)) return true;
  return false;
}

function containsTagInText(text) {
  if (!text) return false;
  if (!text.includes("<thinking_mode>")) return false;
  return text.includes("<thinking_mode>enabled</thinking_mode>")
    || text.includes("<thinking_mode>interleaved</thinking_mode>");
}