From 1fa3c603dfabc92eb14a4a5a4196caaefa4e2178 Mon Sep 17 00:00:00 2001
From: gayanW <gweerakutti@cloudbees.com>
Date: Fri, 15 May 2026 17:52:59 +0900
Subject: [PATCH] Add analyze subset command

---
 pyproject.toml                           |   1 +
 smart_tests/__main__.py                  |   2 +
 smart_tests/commands/analyze/__init__.py |  11 +
 smart_tests/commands/analyze/subset.py   | 428 +++++++++++++++++++++++
 smart_tests/commands/compare/subsets.py  |  34 +-
 tests/commands/compare/test_subsets.py   |   3 +-
 uv.lock                                  | 401 +++++++++++----------
 7 files changed, 699 insertions(+), 181 deletions(-)
 create mode 100644 smart_tests/commands/analyze/__init__.py
 create mode 100644 smart_tests/commands/analyze/subset.py

diff --git a/pyproject.toml b/pyproject.toml
index 60b66e7f9..0be3194e5 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -18,6 +18,7 @@ dependencies = [
     "python-dateutil>=2.9",
     "tabulate>=0.9",
     "click>=8.1,<8.2",
+    "InquirerPy>=0.3.4",
 ]
 dynamic = ["version"]
 
diff --git a/smart_tests/__main__.py b/smart_tests/__main__.py
index 08ce06bad..c03da6905 100644
--- a/smart_tests/__main__.py
+++ b/smart_tests/__main__.py
@@ -6,6 +6,7 @@
 
 from smart_tests.app import Application
 from smart_tests.args4p.command import Group
+from smart_tests.commands.analyze import analyze
 from smart_tests.commands.compare import compare
 from smart_tests.commands.detect_flakes import detect_flakes
 from smart_tests.commands.gate import gate
@@ -24,6 +25,7 @@
 # TODO: main.add_command(split_subset)
 cli.add_command(verify)
 cli.add_command(inspect)
+cli.add_command(analyze)
 cli.add_command(stats)
 cli.add_command(compare)
 cli.add_command(detect_flakes)
diff --git a/smart_tests/commands/analyze/__init__.py b/smart_tests/commands/analyze/__init__.py
new file mode 100644
index 000000000..26a61cb20
--- /dev/null
+++ b/smart_tests/commands/analyze/__init__.py
@@ -0,0 +1,11 @@
+from ... import args4p
+from ...app import Application
+from .subset import subset
+
+
+@args4p.group()
+def analyze(app: Application):
+    return app
+
+
+analyze.add_command(subset)
diff --git a/smart_tests/commands/analyze/subset.py b/smart_tests/commands/analyze/subset.py
new file mode 100644
index 000000000..bded98005
--- /dev/null
+++ b/smart_tests/commands/analyze/subset.py
@@ -0,0 +1,428 @@
+from http import HTTPStatus
+from typing import Annotated, List, Optional, Tuple, cast
+
+import click
+from InquirerPy import inquirer
+from tabulate import tabulate
+
+import smart_tests.args4p.typer as typer
+from smart_tests import args4p
+from smart_tests.app import Application
+from smart_tests.commands.compare.subsets import _display_from_subset_ids, _from_subset_ids, get_column_width, wrap_data
+from smart_tests.utils.smart_tests_client import SmartTestsClient
+
+
+def _get_previous_subset_id(client: SmartTestsClient, subset_id: int) -> Optional[int]:
+    """Fetch the previous subset ID for the given subset from the API.
+
+    Returns:
+        Previous subset ID if found, None otherwise
+    """
+    try:
+        response = client.request("get", f"subset-analyze/{subset_id}/previous")
+        if response.status_code == HTTPStatus.NOT_FOUND:
+            return None
+        response.raise_for_status()
+        payload = response.json()
+        return payload.get("previousSubsettingId")
+    except Exception as e:
+        client.print_exception_and_recover(e, "Warning: failed to fetch previous subset ID")
+        return None
+
+
+def _get_pts_summary_for_expected_tests(
+    expected_tests: List[str],
+    expected_rows: List[Tuple[str, int, str, str, float]],
+    total_tests: int
+) -> str:
+    """Get summary of PTS effectiveness based on expected tests
+
+    Args:
+        expected_tests: Tests the user selected
+        expected_rows: List of (rank, after_order, test_name, reason, density) for expected tests
+        total_tests: Total number of tests in the subset
+
+    Example output:
+        ✅ Tests Promoted:
+        - test_model.py promoted by 42 positions to rank #1
+
+        ✅ Tests Prioritized:
+        - Expected test prioritized at rank #1 out of 67 (top 1.5%)
+
+        ✅ Test Selection:
+        - PTS successfully picked expected tests with high confidence
+        - test_model.py: density 0.84 (very strong correlation)
+    """
+
+    if not expected_rows:
+        return "⚠ No results to analyze"
+
+    # Calculate metrics
+    top_50_percent = total_tests / 2
+
+    prioritized = [r for r in expected_rows if r[1] <= top_50_percent]
+    promoted = [r for r in expected_rows if isinstance(r[0], str) and r[0].startswith('↑')]
+    high_density = [r for r in expected_rows if r[4] > 0.6]
+
+    # Build summary sections
+    sections = []
+
+    # Tests Promoted section (only if one or more promoted) - SHOW FIRST (flashiest metric!)
+    if promoted:
+        sections.append("✅ Tests Promoted:")
+
+        for rank, after, test_name, reason, density in promoted:
+            short_name = test_name.split('=')[-1].split('/')[-1] if '=' in test_name else test_name.split('/')[-1]
+            promotion_amount = int(rank.replace('↑', ''))
+            sections.append(f"- {short_name} promoted by {promotion_amount} positions to rank #{after}")
+
+    # Tests Prioritized section (only if one or more in top 50%)
+    if prioritized:
+        if sections:  # Add spacing if previous section exists
+            sections.append("")
+        sections.append("✅ Tests Prioritized:")
+
+        if len(expected_tests) == 1:
+            test_rank = prioritized[0][1]
+            percentage = (test_rank / total_tests) * 100
+            sections.append(f"- Expected test prioritized at rank #{test_rank} out of {total_tests} (top {percentage:.1f}%)")
+        else:
+            # Multiple tests
+            top_n = max(r[1] for r in prioritized)
+            percentage = (top_n / total_tests) * 100
+            count_text = f"{len(prioritized)}/{len(expected_tests)}"
+            sections.append(
+                f"- {count_text} of expected tests prioritized in top {top_n} "
+                f"out of {total_tests} (top {percentage:.1f}%)")
+
+            # Show individual rankings if helpful
+            for rank, after, test_name, reason, density in prioritized:
+                short_name = test_name.split('=')[-1].split('/')[-1] if '=' in test_name else test_name.split('/')[-1]
+                sections.append(f"- {short_name} ranked #{after}")
+
+    # Test Selection section (only if one or more have density > 0.6)
+    if high_density:
+        sections.append("")
+        sections.append("✅ Test Selection:")
+        sections.append("- PTS successfully picked expected tests with high confidence")
+
+        for rank, after, test_name, reason, density in high_density:
+            short_name = test_name.split('=')[-1].split('/')[-1] if '=' in test_name else test_name.split('/')[-1]
+
+            # Descriptive density labels
+            if density >= 0.8:
+                confidence = "very strong"
+            elif density >= 0.7:
+                confidence = "strong"
+            else:
+                confidence = "moderate"
+
+            sections.append(f"- {short_name}: density {density:.2f} ({confidence} confidence)")
+
+    return "\n".join(sections) if sections else "⚠ Expected tests were not prioritized, promoted, or had high density"
+
+
+def _echo_pts_summary_for_expected_tests(
+    expected_tests: List[str],
+    rows: List[Tuple[str, int, str, str, float]],
+    total_tests: int
+):
+    click.echo()
+
+    # Filter rows for expected tests only
+    # rows format: (rank, after_order, test_name, reason, density)
+    expected_rows = [
+        row for row in rows
+        if any(expected in row[2] for expected in expected_tests)
+    ]
+
+    summary = _get_pts_summary_for_expected_tests(expected_tests=expected_tests, expected_rows=expected_rows,
+                                                  total_tests=total_tests)
+
+    if summary:
+        click.echo()
+        click.echo(summary)
+        click.echo()
+
+
+def _get_related_tests(
+    client: SmartTestsClient,
+    changed_files: List[str],
+    selected_tests: List[str],
+    promoted_tests_data: List[Tuple[str, int, str, str, float]]
+) -> List[str]:
+    """Get related test suggestions from backend.
+
+    Args:
+        client: API client
+        changed_files: List of changed file paths
+        selected_tests: Tests user expected to be prioritized
+        promoted_tests_data: Tuples of (rank, promotion, test_name, reason, density)
+
+    Returns:
+        List of suggested test names (max 3), or empty list on failure
+    """
+    try:
+        # Limit to 500 tests
+        promoted_tests_payload = [
+            {
+                "testName": name,
+                "promotionAmount": promo,
+                "density": density
+            }
+            for rank, promo, name, reason, density in promoted_tests_data[:500]
+        ]
+
+        payload = {
+            "changedFiles": sorted(changed_files),
+            "selectedTests": selected_tests,
+            "promotedTests": promoted_tests_payload
+        }
+
+        response = client.request(
+            "post",
+            "subset-analyze/suggest-related-tests",
+            payload=payload
+        )
+        response.raise_for_status()
+        return response.json().get("relatedTests", [])
+
+    except Exception:
+        return []
+
+
+def _analyze_subset(app: Application, subset_id: int, baseline_subset_id: Optional[int]):
+    client = SmartTestsClient(app=app)
+
+    # If baseline_subset_id not provided, try to fetch from API
+    if baseline_subset_id is None:
+        click.echo("→ Fetching previous subset ID...")
+        baseline_subset_id = _get_previous_subset_id(client, subset_id)
+        if baseline_subset_id is None:
+            click.secho(
+                "✗ No previous subset available for comparison. This appears to be the first subset.",
+                fg="red",
+                err=True
+            )
+            return
+        click.echo(f"✓ Found previous subset ID: {baseline_subset_id}")
+
+    click.echo("→ Fetching subset data...")
+    try:
+        rows, total, promoted, demoted, affected = _from_subset_ids(client, baseline_subset_id, subset_id)
+    except Exception as e:
+        click.secho(f"✗ Failed to fetch subset data: {e}", fg="red", err=True)
+        return
+
+    # Filter out DELETED tests - rows format: (rank, after_order, test_name, reason, density)
+    # After filtering: rank is str, after_order is int, density is float
+    rows_without_deleted = cast(
+        List[Tuple[str, int, str, str, float]],
+        [row for row in rows if row[0] != "DELETED"]
+    )
+    test_names = [row[2] for row in rows_without_deleted]
+
+    if not test_names:
+        click.secho("✗ No tests found in subset", fg="red", err=True)
+        return
+
+    click.echo(f"✓ Found {len(test_names)} tests in subset")
+    click.echo()
+
+    # Step 1: Select Expected Tests
+    click.echo("─" * 70)
+    click.echo("Select Expected Tests")
+    click.echo("─" * 70)
+    click.echo()
+
+    if affected:
+        click.echo("Code files modified:")
+        for file in sorted(affected):
+            click.echo("  - " + click.style(file, bold=True))
+        click.echo()
+
+    click.echo("Which tests do you expect PTS to prioritize?")
+    click.echo()
+
+    expected_tests = []
+    if inquirer.confirm(message="Select expected tests?", default=True).execute():
+        click.echo()
+        tab_space = click.style("Tab/Space", fg="cyan")
+        enter_key = click.style("Enter", fg="cyan")
+        click.echo(
+            f"Use {tab_space} to toggle selection, {enter_key} when done"
+        )
+        click.echo()
+
+        try:
+            expected_tests = inquirer.fuzzy(
+                message="Search and select expected tests:",
+                choices=test_names,
+                multiselect=True,
+                max_height="70%",
+                mandatory=True,
+                marker="✓ ",
+                marker_pl="  ",
+            ).execute()
+
+            if expected_tests:
+                click.echo(f"\n✓ Selected {len(expected_tests)} expected test(s):")
+                for test in expected_tests:
+                    click.echo(f"  • {test}")
+            else:
+                click.echo("\nNo tests selected.")
+        except (KeyboardInterrupt, EOFError):
+            click.echo("\nSkipped test selection.")
+            expected_tests = []
+
+    # If user didn't select any tests, fallback to:
+    # smart_tests/commands/compare/subsets.py
+    if not expected_tests:
+        _display_from_subset_ids(rows, total, promoted, demoted, affected)
+        return
+
+    # Step 2: Show Comparison Results
+    rows_matching_expected_tests = [
+        (rank, after, test_name, reason, density)
+        for rank, after, test_name, reason, density in rows_without_deleted
+        if any(expected in test_name for expected in expected_tests)
+    ]
+
+    click.echo()
+    click.echo("─" * 70)
+    click.echo("Comparison Results")
+    click.echo("─" * 70)
+    click.echo()
+
+    # Show filtered table
+    headers = ["Δ Rank", "Subset Rank", "Test Name", "Reason", "Density"]
+    column_width = get_column_width()
+    tabular_data = [
+        (rank, after, wrap_data(test_name, width=column_width), wrap_data(reason, width=column_width), density)
+        for rank, after, test_name, reason, density in rows_matching_expected_tests
+    ]
+    click.echo(tabulate(tabular_data, headers=headers, tablefmt="simple"))
+
+    # Check if any expected tests were prioritized (top 50%) or promoted
+    top_50_percent = total / 2
+    any_prioritized_or_promoted = any(
+        rank.startswith('↑') or after <= top_50_percent
+        for rank, after, test_name, reason, density in rows_matching_expected_tests
+    )
+
+    if not any_prioritized_or_promoted:
+        # Try to suggest related tests using backend
+        suggestions = []
+        try:
+            # Build list of tests to send to backend for suggestions
+            # Include: (1) Top 50% tests, (2) All promoted tests
+            # This ensures backend sees both high-ranking tests and tests that moved significantly
+            top_50_percent = total / 2
+
+            # Collect tests to send to backend (use dict to deduplicate by test_name)
+            # Store: (rank_str, promotion_amount, test_name, reason, density, after_order)
+            tests_for_ai = {}
+
+            for rank, after, test_name, reason, density in rows_without_deleted:
+                # Calculate promotion amount
+                if isinstance(rank, str) and rank.startswith('↑'):
+                    promotion_amount = int(rank.replace('↑', ''))
+                else:
+                    promotion_amount = 0
+
+                # Include if in top 50% OR promoted
+                if after <= top_50_percent or promotion_amount > 0:
+                    tests_for_ai[test_name] = (rank, promotion_amount, test_name, reason, density, after)
+
+            # Convert to list and sort by:
+            # 1. Promotion amount (descending) - most promoted first
+            # 2. Rank position (ascending) - lower rank is better
+            tests_with_order = list(tests_for_ai.values())
+            tests_with_order.sort(key=lambda x: (-x[1], x[5]))
+
+            # Remove after_order from tuples (backend expects 5-tuple)
+            promoted_tests_data: List[Tuple[str, int, str, str, float]] = [
+                (rank, promo, name, reason, density)
+                for rank, promo, name, reason, density, after in tests_with_order
+            ]
+
+            # Limit to 500 tests for backend context
+            # Why limit the context?
+            # - LLMs doesn't perform well in very long contexts
+            # - 500 tests ≈ 12.5K tokens, well within limits
+            # - 500 limit should cover top 50% of test + all promoted tests in most large test suites (1000+ tests)
+            promoted_tests_data = promoted_tests_data[:500]
+
+            if affected and promoted_tests_data:
+                suggestions = _get_related_tests(
+                    client=client,
+                    changed_files=sorted(affected),
+                    selected_tests=expected_tests,
+                    promoted_tests_data=promoted_tests_data
+                )
+        except Exception:
+            pass
+
+        click.echo()
+
+        if not suggestions:
+            click.secho("⚠ Expected test(s) were not promoted in this instance.")
+            click.echo("- Make sure subset is created with related tests")
+            click.echo("- Or try modifying a different file, and try again")
+            click.echo()
+
+            if inquirer.confirm(
+                    message="Would you like to search and inspect all tests?",
+                    default=True
+            ).execute():
+                _display_from_subset_ids(rows, total, promoted, demoted, affected)
+
+            return
+
+        # Show suggestions as selectable options
+        click.secho("Did you expect the following test(s) instead?", fg="cyan")
+
+        suggestion_choices = []
+        suggestion_map = {}  # Map display text to test name
+        for suggestion in suggestions:
+            # Find the test in rows to show its stats
+            for rank, after, test_name, reason, density in rows_without_deleted:
+                if suggestion in test_name:
+                    display_text = f"{test_name} (Rank #{after}, {rank}, Density {density:.2f})"
+                    suggestion_choices.append(display_text)
+                    suggestion_map[display_text] = test_name
+                    break
+
+        suggestion_choices.append("No, search all tests instead")
+
+        selected_option = inquirer.select(
+            message="Select a test to see its summary:",
+            choices=suggestion_choices,
+            default=suggestion_choices[0] if suggestion_choices else None,
+        ).execute()
+
+        if selected_option != "No, search all tests instead":
+            # User selected a suggested test - show AI summary for it
+            selected_test_name = suggestion_map[selected_option]
+            _echo_pts_summary_for_expected_tests([selected_test_name], rows_without_deleted, total)
+            return
+        else:
+            _display_from_subset_ids(rows, total, promoted, demoted, affected)
+            return
+
+    _echo_pts_summary_for_expected_tests(expected_tests, rows_without_deleted, total)
+
+
+@args4p.command()
+def subset(
+    app: Application,
+    subset_id: Annotated[int, typer.Argument(help="Subset ID to analyze")],
+    baseline_subset_id: Annotated[
+        Optional[int],
+        typer.Option(
+            "--baseline-subset-id",
+            help="Baseline subset ID to compare against (auto-detected if not provided)"
+        )
+    ] = None,
+):
+    _analyze_subset(app, subset_id, baseline_subset_id)
diff --git a/smart_tests/commands/compare/subsets.py b/smart_tests/commands/compare/subsets.py
index 724f54067..08f83ae56 100644
--- a/smart_tests/commands/compare/subsets.py
+++ b/smart_tests/commands/compare/subsets.py
@@ -136,7 +136,12 @@ def subsets(
         client = SmartTestsClient(app=app)
         # for type check
         assert subset_id_before is not None and subset_id_after is not None
-        _from_subset_ids(client=client, subset_id_before=subset_id_before, subset_id_after=subset_id_after)
+        rows, total, promoted, demoted, affected = _from_subset_ids(
+            client=client,
+            subset_id_before=subset_id_before,
+            subset_id_after=subset_id_after
+        )
+        _display_from_subset_ids(rows, total, promoted, demoted, affected)
         return
 
     # for type check
@@ -144,7 +149,14 @@ def subsets(
     _from_files(file_before=file_before, file_after=file_after)
 
 
-def _from_subset_ids(client: SmartTestsClient, subset_id_before: int, subset_id_after: int):
+def _from_subset_ids(
+    client: SmartTestsClient,
+    subset_id_before: int,
+    subset_id_after: int
+) -> Tuple[List[Tuple[str, Union[int, str], str, str, Union[float, str]]], int, int, int, set]:
+    """Compare two subsets, and return in format:
+        Tuple of (rows, total, promoted, demoted, affected)
+    """
     before_subset = SubsetResults.load(client, subset_id_before)
     after_subset = SubsetResults.load(client, subset_id_after)
 
@@ -186,6 +198,24 @@ def _from_subset_ids(client: SmartTestsClient, subset_id_before: int, subset_id_
         if after_subset.get_order(test_name) is None:
             rows.append(("DELETED", '-', test_name, "", ""))
 
+    return rows, total, promoted, demoted, affected
+
+
+def _display_from_subset_ids(
+    rows: List[Tuple[str, Union[int, str], str, str, Union[float, str]]],
+    total: int,
+    promoted: int,
+    demoted: int,
+    affected: set
+) -> None:
+    """Display subset comparison results.
+    Args:
+        rows: List of tuples (rank, after_order, test_name, reason, density)
+        total: Total number of tests
+        promoted: Number of promoted tests
+        demoted: Number of demoted tests
+        affected: Set of affected file paths
+    """
     summary = f"""PTS subset change summary:
 ────────────────────────────────
 -> {total} tests analyzed | {promoted} ↑ promoted | {demoted} ↓ demoted
diff --git a/tests/commands/compare/test_subsets.py b/tests/commands/compare/test_subsets.py
index e8f022181..14618fdcc 100644
--- a/tests/commands/compare/test_subsets.py
+++ b/tests/commands/compare/test_subsets.py
@@ -292,7 +292,8 @@ def test_get_column_width(self):
 
     @mock.patch.dict(os.environ, {"SMART_TESTS_TOKEN": CliTestCase.smart_tests_token})
     @responses.activate
-    def test_subsets_with_long_paths_wrapped(self):
+    @mock.patch('shutil.get_terminal_size', return_value=os.terminal_size((80, 24)))
+    def test_subsets_with_long_paths_wrapped(self, mock_terminal_size):
         """Test that long file paths in Reason column are wrapped properly."""
         long_path1 = "src/mongo/db/telemetry/telemetry_thread_base.cpp"
         long_path2 = "jstests/concurrency/fsm_workloads/timeseries/timeseries_raw_data_operations.js"
diff --git a/uv.lock b/uv.lock
index d6db4bfe4..82583aae7 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,5 +1,5 @@
 version = 1
-revision = 2
+revision = 3
 requires-python = ">=3.13"
 
 [[package]]
@@ -9,58 +9,58 @@ source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "pycodestyle" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/50/d8/30873d2b7b57dee9263e53d142da044c4600a46f2d28374b3e38b023df16/autopep8-2.3.2.tar.gz", hash = "sha256:89440a4f969197b69a995e4ce0661b031f455a9f776d2c5ba3dbd83466931758", size = 92210, upload_time = "2025-01-14T14:46:18.454Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/50/d8/30873d2b7b57dee9263e53d142da044c4600a46f2d28374b3e38b023df16/autopep8-2.3.2.tar.gz", hash = "sha256:89440a4f969197b69a995e4ce0661b031f455a9f776d2c5ba3dbd83466931758", size = 92210, upload-time = "2025-01-14T14:46:18.454Z" }
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