feat: add GET /run/list endpoint (#39)

src/main.py

@@ -15,6 +15,7 @@
 from routers.openml.evaluations import router as evaluationmeasures_router
 from routers.openml.flows import router as flows_router
 from routers.openml.qualities import router as qualities_router
+from routers.openml.runs import router as run_router
 from routers.openml.setups import router as setup_router
 from routers.openml.study import router as study_router
 from routers.openml.tasks import router as task_router
@@ -69,6 +70,7 @@ def create_api() -> FastAPI:
     app.include_router(task_router)
     app.include_router(flows_router)
     app.include_router(study_router)
+    app.include_router(run_router)
     app.include_router(setup_router)
     return app
 

src/routers/openml/runs.py

@@ -0,0 +1,138 @@
+"""Endpoints for OpenML Run resources."""
+
+from typing import Annotated, Any
+
+from fastapi import APIRouter, Body, Depends
+from sqlalchemy import text
+from sqlalchemy.ext.asyncio import AsyncConnection
+
+from core.errors import NoResultsError
+from routers.dependencies import Pagination, expdb_connection
+from routers.types import SystemString64
+
+router = APIRouter(prefix="/run", tags=["run"])
+
+
+def _add_in_filter(
+    filters: list[str],
+    params: dict[str, Any],
+    column: str,
+    param_prefix: str,
+    values: list[int],
+) -> None:
+    """Append an IN filter clause and its bind parameters to the query builder.
+
+    Builds named placeholders (:prefix_0, :prefix_1, ...) for safe binding
+    of multiple integer values without SQL injection risk.
+
+    Args:
+        filters: List of WHERE clause fragments to append to.
+        params: Bind parameter dict to update in-place.
+        column: SQL column expression (e.g. "r.rid", "a.implementation_id").
+        param_prefix: Prefix for named bind params (e.g. "run_id", "flow_id").
+        values: List of integer values to filter by.
+
+    """
+    placeholders = ", ".join(f":{param_prefix}_{i}" for i in range(len(values)))
+    filters.append(f"{column} IN ({placeholders})")
+    params |= {f"{param_prefix}_{i}": v for i, v in enumerate(values)}
+
+
+@router.post(path="/list", description="Provided for convenience, same as `GET` endpoint.")
+@router.get(path="/list")
+async def list_runs(  # noqa: PLR0913
+    pagination: Annotated[Pagination, Body(default_factory=Pagination)],
+    run_id: Annotated[
+        list[int] | None,
+        Body(
+            description="The run(s) to include in the search. "
+            "If none are specified, all runs are included.",
+        ),
+    ] = None,
+    task_id: Annotated[
+        list[int] | None,
+        Body(description="Only include runs for these task id(s)."),
+    ] = None,
+    flow_id: Annotated[
+        list[int] | None,
+        Body(description="Only include runs using these flow id(s)."),
+    ] = None,
+    setup_id: Annotated[
+        list[int] | None,
+        Body(description="Only include runs with these setup id(s)."),
+    ] = None,
+    uploader: Annotated[
+        list[int] | None,
+        Body(description="Only include runs uploaded by these user id(s)."),
+    ] = None,
+    tag: Annotated[str | None, SystemString64] = None,
+    expdb: Annotated[AsyncConnection, Depends(expdb_connection)] = None,
+) -> list[dict[str, Any]]:
+    """List runs, optionally filtered by one or more criteria.
+
+    Filters are combinable — all provided filters are applied with AND logic.
+    List filters (run_id, task_id, flow_id, setup_id, uploader) accept multiple
+    values and are applied with IN logic within each filter.
+
+    Returns a flat list of run objects. Raises 404 if no runs match the filters.
+
+    PHP equivalent: GET /run/list/[run/{ids}][/task/{ids}][/flow/{ids}]...
+    Note: Unlike PHP (which requires at least one filter), this endpoint allows
+    an empty filter set and returns all runs paginated.
+    """
+    filters: list[str] = []
+    params: dict[str, Any] = {"limit": pagination.limit, "offset": pagination.offset}
+
+    # Each list filter maps a user-facing param to a SQL column.
+    # flow_id maps to algorithm_setup.implementation_id (aliased as `a`).
+    # setup_id maps to run.setup — the FK column stored on the run row.
+    if run_id:
+        _add_in_filter(filters, params, "r.rid", "run_id", run_id)
+    if task_id:
+        _add_in_filter(filters, params, "r.task_id", "task_id", task_id)
+    if flow_id:
+        _add_in_filter(filters, params, "a.implementation_id", "flow_id", flow_id)
+    if setup_id:
+        _add_in_filter(filters, params, "r.setup", "setup_id", setup_id)
+    if uploader:
+        _add_in_filter(filters, params, "r.uploader", "uploader", uploader)
+
+    if tag is not None:
+        # run_tag.id is the run FK (not a surrogate PK), so we join on run.rid
+        filters.append("r.rid IN (SELECT id FROM run_tag WHERE tag = :tag)")
+        params["tag"] = tag
+
+    where_clause = f"WHERE {' AND '.join(filters)}" if filters else ""
+
+    query = text(
+        f"""
+        SELECT
+            r.rid                       AS run_id,
+            r.task_id                   AS task_id,
+            r.setup                     AS setup_id,
+            a.implementation_id         AS flow_id,
+            r.uploader                  AS uploader,
+            r.start_time                AS upload_time,
+            IFNULL(r.error_message, '') AS error_message,
+            IFNULL(r.run_details, '')   AS run_details
+        FROM run r
+        JOIN algorithm_setup a ON r.setup = a.sid
+        {where_clause}
+        ORDER BY r.rid
+        LIMIT :limit OFFSET :offset
+        """,  # noqa: S608
+    )
+
+    result = await expdb.execute(query, params)
+    rows = result.mappings().all()
+
+    if not rows:
+        msg = "No runs match the search criteria."
+        raise NoResultsError(msg)
+
+    # SQLAlchemy returns start_time as a datetime object. Format to match PHP
+    # response shape: "YYYY-MM-DD HH:MM:SS" (no T separator, no timezone).
+    # dict unpacking with a later key overrides the earlier one from **row.
+    return [
+        {**row, "upload_time": row["upload_time"].strftime("%Y-%m-%d %H:%M:%S")} for row in rows
+    ]