"""Markdown and text reports for batch evaluation."""
  
  from __future__ import annotations
  
  from typing import Any, Dict
  

  from .constants import RELEVANCE_EXACT, RELEVANCE_HIGH, RELEVANCE_IRRELEVANT, RELEVANCE_LOW

  from .metrics import PRIMARY_METRIC_KEYS

  def _append_metric_block(lines: list[str], metrics: Dict[str, Any]) -> None:

      primary_keys = (

          "Primary_Metric_Score",
          *PRIMARY_METRIC_KEYS,

          "ERR@10",

      )

      included = set()
      for key in primary_keys:
          if key in metrics:
              lines.append(f"- {key}: {metrics[key]}")
              included.add(key)
      for key, value in sorted(metrics.items()):
          if key in included:
              continue
          lines.append(f"- {key}: {value}")
  
  

  def render_batch_report_markdown(payload: Dict[str, Any]) -> str:
      lines = [
          "# Search Batch Evaluation",
          "",
          f"- Batch ID: {payload['batch_id']}",
          f"- Created at: {payload['created_at']}",
          f"- Tenant ID: {payload['tenant_id']}",
          f"- Query count: {len(payload['queries'])}",
          f"- Top K: {payload['top_k']}",
          "",
          "## Aggregate Metrics",
          "",
      ]

      metric_context = payload.get("metric_context") or {}
      if metric_context:
          lines.extend(
              [
                  f"- Primary metric: {metric_context.get('primary_metric', 'N/A')}",

                  f"- Gain scheme (NDCG): {metric_context.get('gain_scheme', {})}",
                  f"- Stop probabilities (ERR): {metric_context.get('stop_prob_scheme', {})}",

                  "",
              ]
          )
      _append_metric_block(lines, payload.get("aggregate_metrics") or {})

      distribution = payload.get("aggregate_distribution") or {}
      if distribution:
          lines.extend(
              [
                  "",
                  "## Label Distribution",
                  "",

                  f"- Fully Relevant: {distribution.get(RELEVANCE_EXACT, 0)}",
                  f"- Mostly Relevant: {distribution.get(RELEVANCE_HIGH, 0)}",
                  f"- Weakly Relevant: {distribution.get(RELEVANCE_LOW, 0)}",

                  f"- Irrelevant: {distribution.get(RELEVANCE_IRRELEVANT, 0)}",
              ]
          )
      lines.extend(["", "## Per Query", ""])
      for item in payload.get("per_query") or []:
          lines.append(f"### {item['query']}")
          lines.append("")

          _append_metric_block(lines, item.get("metrics") or {})

          distribution = item.get("distribution") or {}

          lines.append(f"- Fully Relevant: {distribution.get(RELEVANCE_EXACT, 0)}")
          lines.append(f"- Mostly Relevant: {distribution.get(RELEVANCE_HIGH, 0)}")
          lines.append(f"- Weakly Relevant: {distribution.get(RELEVANCE_LOW, 0)}")

          lines.append(f"- Irrelevant: {distribution.get(RELEVANCE_IRRELEVANT, 0)}")
          lines.append("")
      return "\n".join(lines)