reports.py
1.95 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
"""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
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",
"",
]
for key, value in sorted((payload.get("aggregate_metrics") or {}).items()):
lines.append(f"- {key}: {value}")
distribution = payload.get("aggregate_distribution") or {}
if distribution:
lines.extend(
[
"",
"## Label Distribution",
"",
f"- Exact Match: {distribution.get(RELEVANCE_EXACT, 0)}",
f"- High Relevant: {distribution.get(RELEVANCE_HIGH, 0)}",
f"- Low 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("")
for key, value in sorted((item.get("metrics") or {}).items()):
lines.append(f"- {key}: {value}")
distribution = item.get("distribution") or {}
lines.append(f"- Exact Match: {distribution.get(RELEVANCE_EXACT, 0)}")
lines.append(f"- High Relevant: {distribution.get(RELEVANCE_HIGH, 0)}")
lines.append(f"- Low Relevant: {distribution.get(RELEVANCE_LOW, 0)}")
lines.append(f"- Irrelevant: {distribution.get(RELEVANCE_IRRELEVANT, 0)}")
lines.append("")
return "\n".join(lines)