Add markdown export with emoji indicators

Co-authored-by: dev-ankit <1901680+dev-ankit@users.noreply.github.com>

Author: Copilot

README.md

@@ -7,7 +7,7 @@ Compare performance results between two Locust runs and show changes relative to
 - Compare any two runs (base vs. current).
 - Parses CSV `report.csv` for aggregated and per-endpoint metrics.
 - Parses per-feature `.html` pages and compares the latest history sample.
-- Outputs human-readable tables or machine-friendly JSON.
+- Outputs human-readable tables, markdown with emoji indicators, or machine-friendly JSON.
 
 ## Requirements
 
@@ -39,6 +39,12 @@ python3 compare_runs.py test_runs/HTML-Report-292 test_runs/HTML-Report-294 --js
 python3 compare_runs.py test_runs/HTML-Report-292 test_runs/HTML-Report-294 --color
 ```
 
+- Markdown output with emoji indicators (✅ better, ❌ worse, ➖ same):
+
+```
+python3 compare_runs.py test_runs/HTML-Report-292 test_runs/HTML-Report-294 --markdown
+```
+
 Exit code is `0` on success and `1` on error.
 
 ## What It Compares
@@ -61,6 +67,28 @@ If a metric is not available for an item, it is shown as `-`.
 <img width="598" height="255" alt="image" src="https://github.com/user-attachments/assets/f5394045-6d1e-498e-aa3f-624928ec70a7" />
 
 
+## Markdown Output Example
+
+The `--markdown` flag produces markdown tables with emoji indicators for verdicts:
+
+```markdown
+## Aggregated
+
+| Metric | Base | Current | Diff | % Change | Verdict |
+| --- | --- | --- | --- | --- | --- |
+| Requests/s | 286.200 | 300 | +13.800 | +4.8% | ✅ |
+| Request Count | 1500 | 1800 | +300 | +20.0% | ✅ |
+| Failure Count | 7 | 4 | -3 | -42.9% | ✅ |
+| Average Response Time | 85.200 | 78.500 | -6.700 | -7.9% | ✅ |
+| 95% | 150 | 140 | -10 | -6.7% | ✅ |
+```
+
+Verdict emojis:
+- ✅ Better performance
+- ❌ Worse performance  
+- ➖ No change
+
+
 ## JSON Schema
 
 The `--json` output is a single JSON object containing keys for each compared item.

compare_runs.py

@@ -333,6 +333,13 @@ def print_section(title: str):
     print("-" * len(title))
 
 
+def print_section_markdown(title: str, level: int = 2):
+    """Print a markdown section header."""
+    print("")
+    print("#" * level + " " + title)
+    print("")
+
+
 def _metric_direction(metric: str) -> str:
     """Return 'higher', 'lower', or 'neutral' for a metric's desirable direction.
 
@@ -365,6 +372,70 @@ def _verdict_for(metric: str, b: Optional[float], c: Optional[float]) -> Optiona
     return None
 
 
+def _verdict_to_emoji(verdict: Optional[str]) -> str:
+    """Convert verdict to emoji for markdown output."""
+    if verdict == "better":
+        return "✅"
+    elif verdict == "worse":
+        return "❌"
+    elif verdict == "same":
+        return "➖"
+    return ""
+
+
+def render_comparison_markdown(
+    base_row: Optional[Row],
+    curr_row: Optional[Row],
+    important_fields: List[str],
+    *,
+    show_verdict: bool = True,
+):
+    """Render comparison as markdown table with emoji indicators."""
+    headers = [
+        "Metric",
+        "Base",
+        "Current",
+        "Diff",
+        "% Change",
+    ]
+    if show_verdict:
+        headers.append("Verdict")
+    rows: List[List[str]] = []
+
+    base_data = base_row.data if base_row else {}
+    curr_data = curr_row.data if curr_row else {}
+
+    fields = important_fields[:]
+    # Also include any extra percentile columns present in data
+    extra_fields = [k for k in curr_data.keys() | base_data.keys() if k.endswith("%") and k not in fields]
+    fields.extend(sorted(extra_fields))
+
+    for field in fields:
+        b = base_data.get(field)
+        c = curr_data.get(field)
+        d = diff(b, c)
+        p = pct_change(b, c)
+        p_str = "-" if p is None else f"{p:+.1f}%"
+        row = [
+            field,
+            format_number(b),
+            format_number(c),
+            ("-" if d is None else (f"{d:+.3f}" if abs(d - round(d)) > 1e-9 else f"{int(d):+d}")),
+            p_str,
+        ]
+        if show_verdict:
+            v = _verdict_for(field, b, c)
+            emoji = _verdict_to_emoji(v)
+            row.append(emoji)
+        rows.append(row)
+
+    # Print markdown table
+    print("| " + " | ".join(headers) + " |")
+    print("| " + " | ".join(["---"] * len(headers)) + " |")
+    for r in rows:
+        print("| " + " | ".join(r) + " |")
+
+
 def render_comparison(
     base_row: Optional[Row],
     curr_row: Optional[Row],
@@ -437,6 +508,7 @@ def compare_reports(
     *,
     colorize: bool = False,
     show_verdict: bool = True,
+    as_markdown: bool = False,
 ) -> int:
     # Resolve paths (extract zip files if needed)
     base_path = _resolve_path(base_path)
@@ -517,45 +589,85 @@ def compare_reports(
         return 0
 
     # Human readable output
-    print_section("Aggregated")
-    render_comparison(
-        base_idx.get("__Aggregated__"),
-        curr_idx.get("__Aggregated__"),
-        important_fields,
-        colorize=colorize,
-        show_verdict=show_verdict,
-    )
+    if as_markdown:
+        print("# Locust Performance Comparison")
+        print("")
+        print_section_markdown("Aggregated", 2)
+        render_comparison_markdown(
+            base_idx.get("__Aggregated__"),
+            curr_idx.get("__Aggregated__"),
+            important_fields,
+            show_verdict=show_verdict,
+        )
 
-    endpoint_keys = [k for k in all_keys if k != "__Aggregated__"]
-    for ek in endpoint_keys:
-        title = f"Endpoint: {ek}"
-        print_section(title)
+        endpoint_keys = [k for k in all_keys if k != "__Aggregated__"]
+        for ek in endpoint_keys:
+            title = f"Endpoint: {ek}"
+            print_section_markdown(title, 3)
+            render_comparison_markdown(
+                base_idx.get(ek),
+                curr_idx.get(ek),
+                important_fields,
+                show_verdict=show_verdict,
+            )
+
+        # Render HTML features
+        feature_keys = sorted(set(base_html_map.keys()) | set(curr_html_map.keys()))
+        if feature_keys:
+            print_section_markdown("HTML Features", 2)
+            for fk in feature_keys:
+                print_section_markdown(f"Feature: {fk}", 3)
+                b_map = base_html_map.get(fk, {})
+                c_map = curr_html_map.get(fk, {})
+                ep_keys = sorted(set(b_map.keys()) | set(c_map.keys()))
+                for ep in ep_keys:
+                    print_section_markdown(f"Endpoint: {ep}", 4)
+                    render_comparison_markdown(
+                        b_map.get(ep),
+                        c_map.get(ep),
+                        important_fields,
+                        show_verdict=show_verdict,
+                    )
+    else:
+        print_section("Aggregated")
         render_comparison(
-            base_idx.get(ek),
-            curr_idx.get(ek),
+            base_idx.get("__Aggregated__"),
+            curr_idx.get("__Aggregated__"),
             important_fields,
             colorize=colorize,
             show_verdict=show_verdict,
         )
 
-    # Render HTML features
-    feature_keys = sorted(set(base_html_map.keys()) | set(curr_html_map.keys()))
-    if feature_keys:
-        print_section("HTML Features")
-        for fk in feature_keys:
-            print_section(f"Feature: {fk}")
-            b_map = base_html_map.get(fk, {})
-            c_map = curr_html_map.get(fk, {})
-            ep_keys = sorted(set(b_map.keys()) | set(c_map.keys()))
-            for ep in ep_keys:
-                print_section(f"Endpoint: {ep}")
-                render_comparison(
-                    b_map.get(ep),
-                    c_map.get(ep),
-                    important_fields,
-                    colorize=colorize,
-                    show_verdict=show_verdict,
-                )
+        endpoint_keys = [k for k in all_keys if k != "__Aggregated__"]
+        for ek in endpoint_keys:
+            title = f"Endpoint: {ek}"
+            print_section(title)
+            render_comparison(
+                base_idx.get(ek),
+                curr_idx.get(ek),
+                important_fields,
+                colorize=colorize,
+                show_verdict=show_verdict,
+            )
+
+        # Render HTML features
+        feature_keys = sorted(set(base_html_map.keys()) | set(curr_html_map.keys()))
+        if feature_keys:
+            print_section("HTML Features")
+            for fk in feature_keys:
+                print_section(f"Feature: {fk}")
+                b_map = base_html_map.get(fk, {})
+                c_map = curr_html_map.get(fk, {})
+                ep_keys = sorted(set(b_map.keys()) | set(c_map.keys()))
+                for ep in ep_keys:
+                    print_section(f"Endpoint: {ep}")
+                    render_comparison(
+                        b_map.get(ep),
+                        c_map.get(ep),
+                        important_fields,
+                        colorize=colorize,
+                        show_verdict=show_verdict,
+                    )
 
     return 0
 
@@ -570,6 +682,11 @@ def main():
     parser.add_argument("base", type=Path, help="Base run directory or report.csv path")
     parser.add_argument("current", type=Path, help="Current run directory or report.csv path")
     parser.add_argument("--json", action="store_true", help="Output results as JSON")
+    parser.add_argument(
+        "--markdown",
+        action="store_true",
+        help="Output results as Markdown with emoji indicators (✅ better, ❌ worse, ➖ same)",
+    )
     parser.add_argument(
         "--color",
         action="store_true",
@@ -590,6 +707,7 @@ def main():
             as_json=args.json,
             colorize=args.color,
             show_verdict=args.show_verdict,
+            as_markdown=args.markdown,
         )
     except Exception as e:
         print(f"Error: {e}")