feat: implement GET /run/{id} endpoints (#37)

src/config.py

@@ -54,6 +54,11 @@ def load_routing_configuration(file: Path = _config_file) -> TomlTable:
     return typing.cast("TomlTable", _load_configuration(file)["routing"])
 
 
+@functools.cache
+def load_run_configuration(file: Path = _config_file) -> TomlTable:
+    return typing.cast("TomlTable", _load_configuration(file).get("run", {}))
+
+
 @functools.cache
 def load_database_configuration(file: Path = _config_file) -> TomlTable:
     configuration = _load_configuration(file)

src/config.toml

@@ -37,3 +37,6 @@ database="openml"
 [routing]
 minio_url="http://minio:9000/"
 server_url="http://php-api:80/"
+
+[run]
+evaluation_engine_ids = [1]

src/database/flows.py

@@ -73,7 +73,7 @@ async def get(id_: int, expdb: AsyncConnection) -> Row | None:
     row = await expdb.execute(
         text(
             """
-            SELECT *, uploadDate as upload_date
+            SELECT *, uploadDate as upload_date, fullName AS full_name
             FROM implementation
             WHERE id = :flow_id
             """,

src/database/runs.py

@@ -3,7 +3,7 @@
 from collections.abc import Sequence
 from typing import cast
 
-from sqlalchemy import Row, text
+from sqlalchemy import Row, bindparam, text
 from sqlalchemy.ext.asyncio import AsyncConnection
 
 
@@ -22,6 +22,181 @@ async def exist(id_: int, expdb: AsyncConnection) -> bool:
     return bool(row.one_or_none())
 
 
+async def get(run_id: int, expdb: AsyncConnection) -> Row | None:
+    """Fetch the core run row from the `run` table.
+
+    Returns the row if found, or None if no run with `run_id` exists.
+    The `error_message` column is NULL when the run completed without errors.
+    """
+    row = await expdb.execute(
+        text(
+            """
+            SELECT `rid`, `uploader`, `setup`, `task_id`, `error_message`
+            FROM `run`
+            WHERE `rid` = :run_id
+            """,
+        ),
+        parameters={"run_id": run_id},
+    )
+    return row.one_or_none()
+
+
+async def get_uploader_name(uploader_id: int, userdb: AsyncConnection) -> str | None:
+    """Fetch the display name of a user from the openml database.
+
+    Queries the `users` table in the separate openml DB and concatenates
+    first_name + ' ' + last_name. Returns None if the user does not exist.
+    """
+    row = await userdb.execute(
+        text(
+            """
+            SELECT CONCAT_WS(' ', `first_name`, `last_name`) AS `name`
+            FROM `users`
+            WHERE `id` = :uploader_id
+            """,
+        ),
+        parameters={"uploader_id": uploader_id},
+    )
+    result = row.one_or_none()
+    return result.name if result else None
+
+
+async def get_tags(run_id: int, expdb: AsyncConnection) -> list[str]:
+    """Fetch all tags associated with a run from the `run_tag` table.
+
+    The `id` column in `run_tag` refers to the run ID
+    """
+    rows = await expdb.execute(
+        text(
+            """
+            SELECT `tag`
+            FROM `run_tag`
+            WHERE `id` = :run_id
+            """,
+        ),
+        parameters={"run_id": run_id},
+    )
+    return [row.tag for row in rows.all()]
+
+
+async def get_input_data(run_id: int, expdb: AsyncConnection) -> list[Row]:
+    """Fetch the dataset(s) used as input for a run, with name and url.
+
+    Joins `input_data` with `dataset` to include the dataset name and ARFF URL.
+    """
+    rows = await expdb.execute(
+        text(
+            """
+            SELECT `id`.`data` AS `did`, `d`.`name`, `d`.`url`
+            FROM `input_data` `id`
+            JOIN `dataset` `d` ON `id`.`data` = `d`.`did`
+            WHERE `id`.`run` = :run_id
+            """,
+        ),
+        parameters={"run_id": run_id},
+    )
+    return cast("list[Row]", rows.all())
+
+
+async def get_output_files(run_id: int, expdb: AsyncConnection) -> list[Row]:
+    """Fetch output files attached to a run from the `runfile` table.
+
+    Typical entries include the description XML and predictions ARFF.
+    The `field` column holds the file label (e.g. "description", "predictions").
+
+    Note: the PHP response includes a deprecated `did` field hardcoded to "-1"
+    for each file. This implementation omits it entirely.
+    """
+    rows = await expdb.execute(
+        text(
+            """
+            SELECT `file_id`, `field`
+            FROM `runfile`
+            WHERE `source` = :run_id
+            """,
+        ),
+        parameters={"run_id": run_id},
+    )
+    return cast("list[Row]", rows.all())
+
+
+async def get_evaluations(
+    run_id: int,
+    expdb: AsyncConnection,
+    *,
+    evaluation_engine_ids: list[int],
+) -> list[Row]:
+    """Fetch evaluation metric results for a run.
+
+    Joins `evaluation` with `math_function` to resolve the metric name
+    (the `evaluation` table stores only a `function_id`, not the name directly).
+
+    Filters by `evaluation_engine_id IN (...)`. The list is configurable
+    via `config.toml [run] evaluation_engine_ids`.
+    Dynamic named parameters are used for aiomysql compatibility.
+    """
+    if not evaluation_engine_ids:
+        return []
+
+    query = text(
+        """
+        SELECT `m`.`name`, `e`.`value`, `e`.`array_data`
+        FROM `evaluation` `e`
+        JOIN `math_function` `m` ON `e`.`function_id` = `m`.`id`
+        WHERE `e`.`source` = :run_id
+          AND `e`.`evaluation_engine_id` IN :engine_ids
+        """,
+    ).bindparams(bindparam("engine_ids", expanding=True))
+    rows = await expdb.execute(
+        query,
+        parameters={"run_id": run_id, "engine_ids": evaluation_engine_ids},
+    )
+    return cast("list[Row]", rows.all())
+
+
+async def get_task_type(task_id: int, expdb: AsyncConnection) -> str | None:
+    """Fetch the human-readable task type name for the task associated with a run.
+
+    Joins `task` and `task_type` on `ttid` to resolve the name
+    (e.g. "Supervised Classification").
+    """
+    row = await expdb.execute(
+        text(
+            """
+            SELECT `tt`.`name`
+            FROM `task` `t`
+            JOIN `task_type` `tt` ON `t`.`ttid` = `tt`.`ttid`
+            WHERE `t`.`task_id` = :task_id
+            """,
+        ),
+        parameters={"task_id": task_id},
+    )
+    result = row.one_or_none()
+    return result.name if result else None
+
+
+async def get_task_evaluation_measure(task_id: int, expdb: AsyncConnection) -> str | None:
+    """Fetch the evaluation measure configured for a task, if any.
+
+    Queries `task_inputs` for the row where `input = 'evaluation_measures'`.
+    Returns None (not an empty string) when no such row exists, so callers
+    can treat a falsy result uniformly.
+    """
+    row = await expdb.execute(
+        text(
+            """
+            SELECT `value`
+            FROM `task_inputs`
+            WHERE `task_id` = :task_id
+              AND `input` = 'evaluation_measures'
+            """,
+        ),
+        parameters={"task_id": task_id},
+    )
+    result = row.one_or_none()
+    return result.value if result else None
+
+
 async def get_trace(run_id: int, expdb: AsyncConnection) -> Sequence[Row]:
     """Get trace rows for a run from the trace table."""
     rows = await expdb.execute(