feat: add ResultCollector for experiment export, comparison and reporting

src/evalwire/__init__.py

@@ -15,6 +15,7 @@
     make_top_k_evaluator,
 )
 from evalwire.observability import setup_observability
+from evalwire.results import ResultCollector
 from evalwire.runner import ExperimentRunner
 from evalwire.uploader import DatasetUploader
 
@@ -25,6 +26,7 @@
 __all__ = [
     "DatasetUploader",
     "ExperimentRunner",
+    "ResultCollector",
     "make_contains_evaluator",
     "make_exact_match_evaluator",
     "make_json_match_evaluator",

src/evalwire/cli.py

@@ -1,4 +1,4 @@
-"""evalwire CLI — ``evalwire upload`` and ``evalwire run`` commands."""
+"""evalwire CLI — ``evalwire upload``, ``evalwire run``, ``evalwire export``, ``evalwire compare``, and ``evalwire report`` commands."""
 
 import sys
 from typing import Literal, cast
@@ -204,3 +204,101 @@ def run_cmd(
     except Exception as exc:
         click.echo(f"Error: {exc}", err=True)
         sys.exit(2)
+
+
+@main.command("export")
+@click.option(
+    "--experiment",
+    "experiment_id",
+    default=None,
+    help="Phoenix experiment ID.",
+)
+@click.option(
+    "--format",
+    "fmt",
+    type=click.Choice(["csv", "json"]),
+    default="csv",
+    show_default=True,
+    help="Output format.",
+)
+@click.option(
+    "--output",
+    "output_path",
+    default=None,
+    help="Destination file path.",
+)
+def export_cmd(
+    experiment_id: str | None,
+    fmt: str,
+    output_path: str | None,
+) -> None:
+    """Export experiment results to a CSV or JSON file."""
+    if not experiment_id:
+        raise click.UsageError("No experiment ID provided. Use --experiment.")
+    try:
+        from pathlib import Path as _Path
+
+        from evalwire.results import ResultCollector
+
+        client = _make_client()
+        rc = ResultCollector(client)
+        resolved_output = (
+            _Path(output_path) if output_path else _Path(f"{experiment_id}.{fmt}")
+        )
+        rc.export(experiment_id, format=fmt, path=resolved_output)  # ty: ignore[invalid-argument-type]
+        click.echo(f"Exported results to {resolved_output}")
+    except click.UsageError:
+        raise
+    except Exception as exc:
+        click.echo(f"Error: {exc}", err=True)
+        sys.exit(2)
+
+
+@main.command("compare")
+@click.argument("experiment_id_a")
+@click.argument("experiment_id_b")
+def compare_cmd(experiment_id_a: str, experiment_id_b: str) -> None:
+    """Compare two experiment runs by their mean evaluator scores."""
+    try:
+        from evalwire.results import ResultCollector
+
+        client = _make_client()
+        rc = ResultCollector(client)
+        comparison = rc.compare(experiment_id_a, experiment_id_b)
+
+        click.echo(f"Comparing {experiment_id_a!r} vs {experiment_id_b!r}")
+        click.echo("")
+        for name, info in sorted(comparison.items()):
+            delta = info["delta"]
+            sign = "+" if delta >= 0 else ""
+            click.echo(
+                f"  {name}: {info['score_a']:.4f} → {info['score_b']:.4f}  ({sign}{delta:.4f})"
+            )
+    except Exception as exc:
+        click.echo(f"Error: {exc}", err=True)
+        sys.exit(2)
+
+
+@main.command("report")
+@click.option(
+    "--experiment",
+    "experiment_id",
+    default=None,
+    help="Phoenix experiment ID.",
+)
+def report_cmd(experiment_id: str | None) -> None:
+    """Generate a markdown summary report for an experiment."""
+    if not experiment_id:
+        raise click.UsageError("No experiment ID provided. Use --experiment.")
+    try:
+        from evalwire.results import ResultCollector
+
+        client = _make_client()
+        rc = ResultCollector(client)
+        report = rc.report(experiment_id)
+        click.echo(report)
+    except click.UsageError:
+        raise
+    except Exception as exc:
+        click.echo(f"Error: {exc}", err=True)
+        sys.exit(2)

src/evalwire/results.py

@@ -0,0 +1,187 @@
+"""Result collection, export, comparison, and reporting for evalwire experiments."""
+
+from __future__ import annotations
+
+import csv
+import json
+from pathlib import Path
+from typing import TYPE_CHECKING, Any, Literal
+
+if TYPE_CHECKING:
+    from phoenix.client import Client
+
+_SUPPORTED_FORMATS = {"csv", "json"}
+
+
+def _rows_from_ran_experiment(ran_experiment: dict[str, Any]) -> list[dict[str, Any]]:
+    """Convert a RanExperiment into a flat list of row dicts (one per task run)."""
+    task_runs: list[Any] = ran_experiment["task_runs"]
+    evaluation_runs: list[Any] = ran_experiment["evaluation_runs"]
+
+    eval_by_run_id: dict[str, dict[str, float | None]] = {}
+    for ev in evaluation_runs:
+        run_id = ev.experiment_run_id
+        score: float | None = None
+        if ev.result is not None:
+            score = ev.result.get("score")
+        eval_by_run_id.setdefault(run_id, {})[ev.name] = score
+
+    rows = []
+    for run in task_runs:
+        row: dict[str, Any] = {
+            "run_id": run.id,
+            "output": run.output,
+            "error": run.error,
+        }
+        scores = eval_by_run_id.get(run.id, {})
+        row.update(scores)
+        rows.append(row)
+    return rows
+
+
+def _mean_scores(ran_experiment: dict[str, Any]) -> dict[str, float]:
+    """Return mean score per evaluator for a RanExperiment."""
+    evaluation_runs: list[Any] = ran_experiment["evaluation_runs"]
+    totals: dict[str, list[float]] = {}
+    for ev in evaluation_runs:
+        if ev.result is not None:
+            score = ev.result.get("score")
+            if score is not None:
+                totals.setdefault(ev.name, []).append(float(score))
+    return {name: sum(vals) / len(vals) for name, vals in totals.items()}
+
+
+class ResultCollector:
+    """Fetch, export, compare, and report on evalwire experiment results.
+
+    Parameters
+    ----------
+    client:
+        An initialised ``phoenix.client.Client`` instance.
+    """
+
+    def __init__(self, client: Client) -> None:
+        self._client = client
+
+    def get(self, experiment_id: str) -> Any:
+        """Fetch a completed experiment by its ID.
+
+        Parameters
+        ----------
+        experiment_id:
+            The Phoenix experiment ID.
+
+        Returns
+        -------
+        dict
+            A ``RanExperiment`` dict with ``task_runs`` and ``evaluation_runs``.
+
+        Raises
+        ------
+        ValueError
+            If the experiment is not found.
+        """
+        return self._client.experiments.get_experiment(experiment_id=experiment_id)
+
+    def export(
+        self,
+        experiment_id: str,
+        format: Literal["csv", "json"],
+        path: Path | str,
+    ) -> None:
+        """Export experiment results to a file.
+
+        Parameters
+        ----------
+        experiment_id:
+            The Phoenix experiment ID.
+        format:
+            Output format: ``"csv"`` or ``"json"``.
+        path:
+            Destination file path.
+
+        Raises
+        ------
+        ValueError
+            If *format* is not supported.
+        """
+        if format not in _SUPPORTED_FORMATS:
+            raise ValueError(
+                f"Unsupported format {format!r}. Choose from: {sorted(_SUPPORTED_FORMATS)}"
+            )
+        ran = self.get(experiment_id)
+        rows = _rows_from_ran_experiment(ran)
+        path = Path(path)
+
+        if format == "csv":
+            fieldnames = list(rows[0].keys()) if rows else ["run_id", "output", "error"]
+            with open(path, "w", newline="") as f:
+                writer = csv.DictWriter(f, fieldnames=fieldnames)
+                writer.writeheader()
+                writer.writerows(rows)
+        else:
+            path.write_text(json.dumps(rows, indent=2, default=str))
+
+    def compare(
+        self,
+        experiment_id_a: str,
+        experiment_id_b: str,
+    ) -> dict[str, dict[str, float]]:
+        """Compare two experiments by their mean evaluator scores.
+
+        Parameters
+        ----------
+        experiment_id_a:
+            ID of the baseline experiment.
+        experiment_id_b:
+            ID of the comparison experiment.
+
+        Returns
+        -------
+        dict
+            Mapping of evaluator name → ``{"score_a": …, "score_b": …, "delta": …}``.
+        """
+        ran_a = self.get(experiment_id_a)
+        ran_b = self.get(experiment_id_b)
+        scores_a = _mean_scores(ran_a)
+        scores_b = _mean_scores(ran_b)
+        all_names = set(scores_a) | set(scores_b)
+        result: dict[str, dict[str, float]] = {}
+        for name in all_names:
+            a = scores_a.get(name, 0.0)
+            b = scores_b.get(name, 0.0)
+            result[name] = {"score_a": a, "score_b": b, "delta": b - a}
+        return result
+
+    def report(self, experiment_id: str) -> str:
+        """Generate a markdown summary report for an experiment.
+
+        Parameters
+        ----------
+        experiment_id:
+            The Phoenix experiment ID.
+
+        Returns
+        -------
+        str
+            A markdown-formatted summary string.
+        """
+        ran = self.get(experiment_id)
+        scores = _mean_scores(ran)
+        task_runs: list[Any] = ran["task_runs"]
+
+        lines = [
+            f"# Experiment Report: {experiment_id}",
+            "",
+            f"**Total runs:** {len(task_runs)}",
+            "",
+            "## Evaluator Scores",
+            "",
+        ]
+        if scores:
+            for name, score in sorted(scores.items()):
+                lines.append(f"- **{name}**: {score:.4f}")
+        else:
+            lines.append("_No evaluator scores recorded._")
+
+        return "\n".join(lines)