Issue #401/#449 support format guessing in VectorCube.execute_batch

CHANGELOG.md

@@ -8,7 +8,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ### Added
 
-- Add support in `VectoCube.download()` to guess output format from extension of a given filename
+- Add support in `VectoCube.download()` and `VectorCube.execute_batch()` to guess output format from extension of a given filename
   ([#401](https://github.com/Open-EO/openeo-python-client/issues/401), [#449](https://github.com/Open-EO/openeo-python-client/issues/449))
 - Added `load_stac` for Client Side Processing, based on the [openeo-processes-dask implementation](https://github.com/Open-EO/openeo-processes-dask/pull/127)
 

openeo/rest/datacube.py

@@ -1942,7 +1942,7 @@ def download(
         :param options: Optional, file format options
         :return: None if the result is stored to disk, or a bytes object returned by the backend.
         """
-        if format is None and outputfile is not None:
+        if format is None and outputfile:
             # TODO #401/#449 don't guess/override format if there is already a save_result with format?
             format = guess_format(outputfile)
         cube = self._ensure_save_result(format=format, options=options)
@@ -2062,7 +2062,7 @@ def execute_batch(
         """
         if "format" in format_options and not out_format:
             out_format = format_options["format"]  # align with 'download' call arg name
-        if not out_format and outputfile:
+        if out_format is None and outputfile:
             # TODO #401/#449 don't guess/override format if there is already a save_result with format?
             out_format = guess_format(outputfile)
 

openeo/rest/vectorcube.py

@@ -139,16 +139,22 @@ def execute(self) -> dict:
     def download(self, outputfile: Union[str, pathlib.Path], format: Optional[str] = None, options: dict = None):
         # TODO #401 make outputfile optional (See DataCube.download)
         # TODO #401/#449 don't guess/override format if there is already a save_result with format?
-        if format is None and outputfile is not None:
+        if format is None and outputfile:
             format = guess_format(outputfile)
         cube = self._ensure_save_result(format=format, options=options)
         return self._connection.download(cube.flat_graph(), outputfile)
 
     def execute_batch(
-            self,
-            outputfile: Union[str, pathlib.Path] = None, out_format: str = None,
-            print=print, max_poll_interval=60, connection_retry_interval=30,
-            job_options=None, **format_options) -> BatchJob:
+        self,
+        outputfile: Optional[Union[str, pathlib.Path]] = None,
+        out_format: Optional[str] = None,
+        print=print,
+        max_poll_interval: float = 60,
+        connection_retry_interval: float = 30,
+        job_options: Optional[dict] = None,
+        # TODO: avoid using kwargs as format options
+        **format_options,
+    ) -> BatchJob:
         """
         Evaluate the process graph by creating a batch job, and retrieving the results when it is finished.
         This method is mostly recommended if the batch job is expected to run in a reasonable amount of time.
@@ -159,8 +165,11 @@ def execute_batch(
         :param outputfile: The path of a file to which a result can be written
         :param out_format: (optional) Format of the job result.
         :param format_options: String Parameters for the job result format
-
         """
+        if out_format is None and outputfile:
+            # TODO #401/#449 don't guess/override format if there is already a save_result with format?
+            out_format = guess_format(outputfile)
+
         job = self.create_job(out_format, job_options=job_options, **format_options)
         return job.run_synchronous(
             # TODO #135 support multi file result sets too
@@ -193,11 +202,7 @@ def create_job(
         """
         # TODO: avoid using all kwargs as format_options
         # TODO: centralize `create_job` for `DataCube`, `VectorCube`, `MlModel`, ...
-        cube = self
-        if out_format:
-            # add `save_result` node
-            # TODO #401: avoid duplicate save_result
-            cube = cube.save_result(format=out_format, options=format_options)
+        cube = self._ensure_save_result(format=out_format, options=format_options or None)
         return self._connection.create_job(
             process_graph=cube.flat_graph(),
             title=title,

tests/rest/datacube/test_vectorcube.py

@@ -1,8 +1,9 @@
+import re
 from pathlib import Path
-from typing import List
 
 import pytest
 
+from openeo import Connection
 from openeo.internal.graph_building import PGNode
 from openeo.rest.vectorcube import VectorCube
 
@@ -13,42 +14,101 @@ def vector_cube(con100) -> VectorCube:
     return VectorCube(graph=pgnode, connection=con100)
 
 
-class DownloadSpy:
+class DummyBackend:
     """
-    Test helper to track download requests and optionally override next response to return.
+    Dummy backend that handles sync/batch execution requests
+    and allows inspection of posted process graphs
     """
 
-    __slots__ = ["requests", "next_response"]
+    def __init__(self, requests_mock, connection: Connection):
+        self.connection = connection
+        self.sync_requests = []
+        self.batch_jobs = {}
+        self.next_result = b"Result data"
+        requests_mock.post(connection.build_url("/result"), content=self._handle_post_result)
+        requests_mock.post(connection.build_url("/jobs"), content=self._handle_post_jobs)
+        requests_mock.post(
+            re.compile(connection.build_url(r"/jobs/(job-\d+)/results$")), content=self._handle_post_job_results
+        )
+        requests_mock.get(re.compile(connection.build_url(r"/jobs/(job-\d+)$")), json=self._handle_get_job)
+        requests_mock.get(
+            re.compile(connection.build_url(r"/jobs/(job-\d+)/results$")), json=self._handle_get_job_results
+        )
+        requests_mock.get(
+            re.compile(connection.build_url("/jobs/(.*?)/results/result.data$")),
+            content=self._handle_get_job_result_asset,
+        )
 
-    def __init__(self):
-        self.requests: List[dict] = []
-        self.next_response: bytes = b"Spy data"
+    def _handle_post_result(self, request, context):
+        """handler of `POST /result` (synchronous execute)"""
+        pg = request.json()["process"]["process_graph"]
+        self.sync_requests.append(pg)
+        return self.next_result
 
-    @property
-    def only_request(self) -> dict:
-        """Get progress graph of only request done"""
-        assert len(self.requests) == 1
-        return self.requests[-1]
+    def _handle_post_jobs(self, request, context):
+        """handler of `POST /jobs` (create batch job)"""
+        pg = request.json()["process"]["process_graph"]
+        job_id = f"job-{len(self.batch_jobs):03d}"
+        self.batch_jobs[job_id] = {"job_id": job_id, "pg": pg, "status": "created"}
+        context.status_code = 201
+        context.headers["openeo-identifier"] = job_id
 
-    @property
-    def last_request(self) -> dict:
-        """Get last progress graph"""
-        assert len(self.requests) > 0
-        return self.requests[-1]
+    def _get_job_id(self, request) -> str:
+        match = re.match(r"^/jobs/(job-\d+)(/|$)", request.path)
+        if not match:
+            raise ValueError(f"Failed to extract job_id from {request.path}")
+        job_id = match.group(1)
+        assert job_id in self.batch_jobs
+        return job_id
 
+    def _handle_post_job_results(self, request, context):
+        """Handler of `POST /job/{job_id}/results` (start batch job)."""
+        job_id = self._get_job_id(request)
+        assert self.batch_jobs[job_id]["status"] == "created"
+        # TODO: support custom status sequence (instead of directly going to status "finished")?
+        self.batch_jobs[job_id]["status"] = "finished"
+        context.status_code = 202
 
-@pytest.fixture
-def download_spy(requests_mock, con100) -> DownloadSpy:
-    """Test fixture to spy on (and mock) `POST /result` (download) requests."""
-    spy = DownloadSpy()
+    def _handle_get_job(self, request, context):
+        """Handler of `GET /job/{job_id}` (get batch job status and metadata)."""
+        job_id = self._get_job_id(request)
+        return {"id": job_id, "status": self.batch_jobs[job_id]["status"]}
 
-    def post_result(request, context):
-        pg = request.json()["process"]["process_graph"]
-        spy.requests.append(pg)
-        return spy.next_response
+    def _handle_get_job_results(self, request, context):
+        """Handler of `GET /job/{job_id}/results` (list batch job results)."""
+        job_id = self._get_job_id(request)
+        assert self.batch_jobs[job_id]["status"] == "finished"
+        return {
+            "id": job_id,
+            "assets": {"result.data": {"href": self.connection.build_url(f"/jobs/{job_id}/results/result.data")}},
+        }
+
+    def _handle_get_job_result_asset(self, request, context):
+        """Handler of `GET /job/{job_id}/results/result.data` (get batch job result asset)."""
+        job_id = self._get_job_id(request)
+        assert self.batch_jobs[job_id]["status"] == "finished"
+        return self.next_result
+
+    def get_sync_pg(self) -> dict:
+        """Get one and only synchronous process graph"""
+        assert len(self.sync_requests) == 1
+        return self.sync_requests[0]
+
+    def get_batch_pg(self) -> dict:
+        """Get one and only batch process graph"""
+        assert len(self.batch_jobs) == 1
+        return self.batch_jobs[max(self.batch_jobs.keys())]["pg"]
 
-    requests_mock.post(con100.build_url("/result"), content=post_result)
-    yield spy
+    def get_pg(self) -> dict:
+        """Get one and only batch process graph (sync or batch)"""
+        pgs = self.sync_requests + [b["pg"] for b in self.batch_jobs.values()]
+        assert len(pgs) == 1
+        return pgs[0]
+
+
+@pytest.fixture
+def dummy_backend(requests_mock, con100) -> DummyBackend:
+    yield DummyBackend(requests_mock=requests_mock, connection=con100)
 
 
 def test_raster_to_vector(con100):
@@ -91,13 +151,19 @@ def test_raster_to_vector(con100):
     ],
 )
 @pytest.mark.parametrize("path_class", [str, Path])
+@pytest.mark.parametrize("exec_mode", ["sync", "batch"])
 def test_download_auto_save_result_only_file(
-    vector_cube, download_spy, tmp_path, filename, expected_format, path_class
+    vector_cube, dummy_backend, tmp_path, filename, expected_format, path_class, exec_mode
 ):
     output_path = tmp_path / filename
-    vector_cube.download(path_class(output_path))
+    if exec_mode == "sync":
+        vector_cube.download(path_class(output_path))
+    elif exec_mode == "batch":
+        vector_cube.execute_batch(outputfile=path_class(output_path))
+    else:
+        raise ValueError(exec_mode)
 
-    assert download_spy.only_request == {
+    assert dummy_backend.get_pg() == {
         "createvectorcube1": {"process_id": "create_vector_cube", "arguments": {}},
         "saveresult1": {
             "process_id": "save_result",
@@ -109,7 +175,7 @@ def test_download_auto_save_result_only_file(
             "result": True,
         },
     }
-    assert output_path.read_bytes() == b"Spy data"
+    assert output_path.read_bytes() == b"Result data"
 
 
 @pytest.mark.parametrize(
@@ -126,11 +192,19 @@ def test_download_auto_save_result_only_file(
         # TODO #449 more formats to autodetect?
     ],
 )
-def test_download_auto_save_result_with_format(vector_cube, download_spy, tmp_path, filename, format, expected_format):
+@pytest.mark.parametrize("exec_mode", ["sync", "batch"])
+def test_download_auto_save_result_with_format(
+    vector_cube, dummy_backend, tmp_path, filename, format, expected_format, exec_mode
+):
     output_path = tmp_path / filename
-    vector_cube.download(output_path, format=format)
+    if exec_mode == "sync":
+        vector_cube.download(output_path, format=format)
+    elif exec_mode == "batch":
+        vector_cube.execute_batch(outputfile=output_path, out_format=format)
+    else:
+        raise ValueError(exec_mode)
 
-    assert download_spy.only_request == {
+    assert dummy_backend.get_pg() == {
         "createvectorcube1": {"process_id": "create_vector_cube", "arguments": {}},
         "saveresult1": {
             "process_id": "save_result",
@@ -142,14 +216,23 @@ def test_download_auto_save_result_with_format(vector_cube, download_spy, tmp_pa
             "result": True,
         },
     }
-    assert output_path.read_bytes() == b"Spy data"
+    assert output_path.read_bytes() == b"Result data"
 
 
-def test_download_auto_save_result_with_options(vector_cube, download_spy, tmp_path):
+@pytest.mark.parametrize("exec_mode", ["sync", "batch"])
+def test_download_auto_save_result_with_options(vector_cube, dummy_backend, tmp_path, exec_mode):
     output_path = tmp_path / "result.json"
-    vector_cube.download(output_path, format="GeoJSON", options={"precision": 7})
+    format = "GeoJSON"
+    options = {"precision": 7}
 
-    assert download_spy.only_request == {
+    if exec_mode == "sync":
+        vector_cube.download(output_path, format=format, options=options)
+    elif exec_mode == "batch":
+        vector_cube.execute_batch(outputfile=output_path, out_format=format, **options)
+    else:
+        raise ValueError(exec_mode)
+
+    assert dummy_backend.get_pg() == {
         "createvectorcube1": {"process_id": "create_vector_cube", "arguments": {}},
         "saveresult1": {
             "process_id": "save_result",
@@ -161,7 +244,7 @@ def test_download_auto_save_result_with_options(vector_cube, download_spy, tmp_p
             "result": True,
         },
     }
-    assert output_path.read_bytes() == b"Spy data"
+    assert output_path.read_bytes() == b"Result data"
 
 
 @pytest.mark.parametrize(
@@ -173,17 +256,26 @@ def test_download_auto_save_result_with_options(vector_cube, download_spy, tmp_p
         ("result.nc", "netCDF", "netCDF"),
     ],
 )
-def test_save_result_and_download(vector_cube, download_spy, tmp_path, output_file, format, expected_format):
+@pytest.mark.parametrize("exec_mode", ["sync", "batch"])
+def test_save_result_and_download(
+    vector_cube, dummy_backend, tmp_path, output_file, format, expected_format, exec_mode
+):
     """e.g. https://github.com/Open-EO/openeo-geopyspark-driver/issues/477"""
     vector_cube = vector_cube.save_result(format=format)
     output_path = tmp_path / output_file
-    vector_cube.download(output_path)
-    assert download_spy.only_request == {
+    if exec_mode == "sync":
+        vector_cube.download(output_path)
+    elif exec_mode == "batch":
+        vector_cube.execute_batch(outputfile=output_path)
+    else:
+        raise ValueError(exec_mode)
+
+    assert dummy_backend.get_pg() == {
         "createvectorcube1": {"process_id": "create_vector_cube", "arguments": {}},
         "saveresult1": {
             "process_id": "save_result",
             "arguments": {"data": {"from_node": "createvectorcube1"}, "format": expected_format, "options": {}},
             "result": True,
         },
     }
-    assert output_path.read_bytes() == b"Spy data"
+    assert output_path.read_bytes() == b"Result data"