CI: upload testing results as artifacts

.github/workflows/ci.yml

@@ -50,6 +50,8 @@ jobs:
         # include:
         #   - python-version: pypy-3.10
         #     runs-on: ubuntu-latest
+    env:
+      TZ: America/New_York
 
     steps:
       - uses: actions/checkout@v4
@@ -61,6 +63,11 @@ jobs:
           python-version: ${{ matrix.python-version }}
           allow-prereleases: true
 
+      - name: Set env vars
+        run: |
+          export DATETIME_STRING=$(date +%Y%m%d%H%M%S)
+          echo "DATETIME_STRING=${DATETIME_STRING}" >> $GITHUB_ENV
+
       - name: Install package
         run: |
           set -vxeuo pipefail
@@ -71,5 +78,12 @@ jobs:
           python -m pytest -ra --cov --cov-report=xml --cov-report=term
           --durations=20 -m "(not hardware) and (not tiled)" -s -vv
 
+      - name: Upload test artifacts
+        uses: actions/upload-artifact@v4
+        with:
+          name: test-artifacts-{{ env.DATETIME_STRING }}
+          path: /tmp/srx-caproto-iocs/
+          retention-days: 14
+
       - name: Upload coverage report
         uses: codecov/[email protected]

src/srx_caproto_iocs/base.py

@@ -238,7 +238,7 @@ class OphydDeviceWithCaprotoIOC(Device):
     def set(self, command):
         """The set method with values for staging and acquiring."""
 
-        print(f"{now()}: {command = }")
+        # print(f"{now()}: {command = }")
         if command in [StageStates.STAGED.value, "stage"]:
             expected_old_value = StageStates.UNSTAGED.value
             expected_new_value = StageStates.STAGED.value

tests/test_base_ophyd.py

@@ -1,7 +1,8 @@
 from __future__ import annotations
 
-import tempfile
+import shutil
 import time as ttime
+import uuid
 from pathlib import Path
 
 import h5py
@@ -13,38 +14,41 @@
 @pytest.mark.cloud_friendly()
 @pytest.mark.parametrize("date_template", ["%Y/%m/", "%Y/%m/%d", "mydir/%Y/%m/%d"])
 def test_base_ophyd_templates(
-    base_caproto_ioc, base_ophyd_device, date_template, num_frames=50
+    base_caproto_ioc, base_ophyd_device, date_template, num_frames=50, remove=False
 ):
-    with tempfile.TemporaryDirectory(prefix="/tmp/") as tmpdirname:
-        date = now(as_object=True)
-        write_dir_root = Path(tmpdirname)
-        dir_template = f"{write_dir_root}/{date_template}"
-        write_dir = Path(date.strftime(dir_template))
-        write_dir.mkdir(parents=True, exist_ok=True)
+    tmpdirname = f"/tmp/srx-caproto-iocs/{str(uuid.uuid4())[:2]}"
+    date = now(as_object=True)
+    write_dir_root = Path(tmpdirname)
+    dir_template = f"{write_dir_root}/{date_template}"
+    write_dir = Path(date.strftime(dir_template))
+    write_dir.mkdir(parents=True, exist_ok=True)
 
-        file_template = "scan_{num:06d}_{uid}.hdf5"
+    file_template = "scan_{num:06d}_{uid}.hdf5"
 
-        dev = base_ophyd_device
-        dev.write_dir.put(dir_template)
-        dev.file_name.put(file_template)
+    dev = base_ophyd_device
+    dev.write_dir.put(dir_template)
+    dev.file_name.put(file_template)
 
-        dev.set("stage").wait()
+    dev.set("stage").wait()
 
-        full_file_path = dev.full_file_path.get()
-        print(f"{full_file_path = }")
+    full_file_path = dev.full_file_path.get()
+    print(f"{full_file_path = }")
 
-        for i in range(num_frames):
-            print(f"Collecting frame {i}...")
-            dev.set("acquire").wait()
-            ttime.sleep(0.1)
+    for i in range(num_frames):
+        print(f"Collecting frame {i}...")
+        dev.set("acquire").wait()
+        ttime.sleep(0.1)
 
-        dev.set("unstage").wait()
+    dev.set("unstage").wait()
 
-        assert full_file_path, "The returned 'full_file_path' did not change."
-        assert Path(full_file_path).is_file(), f"No such file '{full_file_path}'"
+    assert full_file_path, "The returned 'full_file_path' did not change."
+    assert Path(full_file_path).is_file(), f"No such file '{full_file_path}'"
 
-        with h5py.File(full_file_path, "r", swmr=True) as f:
-            dataset = f["/entry/data/data"]
-            assert dataset.shape == (num_frames, 256, 256)
+    with h5py.File(full_file_path, "r", swmr=True) as f:
+        dataset = f["/entry/data/data"]
+        assert dataset.shape == (num_frames, 256, 256)
 
         ttime.sleep(1.0)
+
+    if remove:
+        shutil.rmtree(tmpdirname)