Optimise CLEM Data Transfer and Registration

src/murfey/client/multigrid_control.py

@@ -468,7 +468,13 @@ def rsync_result(update: RSyncerUpdate):
                     session_id=self._environment.murfey_session,
                     data=rsyncer_data,
                 )
-        self._environment.watchers[source] = DirWatcher(source, settling_time=30)
+        self._environment.watchers[source] = DirWatcher(
+            source,
+            settling_time=30,
+            substrings_blacklist=self._machine_config.get(
+                "substrings_blacklist", {"directories": [], "files": []}
+            ),
+        )
 
         if not self.analysers.get(source) and analyse:
             log.info(f"Starting analyser for {source}")

src/murfey/client/watchdir.py

@@ -32,6 +32,7 @@ def __init__(
         path: str | os.PathLike,
         settling_time: float = 60,
         appearance_time: float | None = None,
+        substrings_blacklist: dict[str, dict] = {},
         transfer_all: bool = True,
         status_bar: StatusBar | None = None,
     ):
@@ -42,6 +43,7 @@ def __init__(
         self._statusbar = status_bar
         self.settling_time = settling_time
         self._appearance_time = appearance_time
+        self._substrings_blacklist = substrings_blacklist
         self._transfer_all = transfer_all
         self._modification_overwrite: float | None = None
         self._init_time: float = time.time()
@@ -128,7 +130,7 @@ def scan(self, modification_time: float | None = None, transfer_all: bool = Fals
                         settling_time=scan_completion
                     )
 
-            # Create a list of files sroted based on their timestamps
+            # Create a list of files sorted based on their timestamps
             files_for_transfer = []
             time_ordered_file_candidates = sorted(
                 self._file_candidates,
@@ -150,8 +152,9 @@ def scan(self, modification_time: float | None = None, transfer_all: bool = Fals
                     continue
 
                 if (
-                    self._file_candidates[x].settling_time + self.settling_time  # type: ignore
-                    < time.time()
+                    current_file_settling_time := self._file_candidates[x].settling_time
+                ) is not None and (
+                    current_file_settling_time + self.settling_time < time.time()
                 ):
                     try:
                         file_stat = os.stat(x)
@@ -252,15 +255,28 @@ def _scan_directory(
             raise
         for entry in directory_contents:
             entry_name = os.path.join(path, entry.name)
-            if entry.is_dir() and (
+            # Skip any directories with matching blacklisted substrings
+            if entry.is_dir() and any(
+                char in entry.name
+                for char in self._substrings_blacklist.get("directories", [])
+            ):
+                log.debug(f"Skipping blacklisted directory {str(entry.name)!r}")
+                continue
+            elif entry.is_dir() and (
                 modification_time is None or entry.stat().st_ctime >= modification_time
             ):
                 result.update(self._scan_directory(entry_name))
             else:
                 # Exclude textual log
                 if "textual" in str(entry):
                     continue
-
+                # Exclude files with blacklisted substrings
+                if any(
+                    char in entry.name
+                    for char in self._substrings_blacklist.get("files", [])
+                ):
+                    log.debug(f"Skipping blacklisted file {str(entry.name)!r}")
+                    continue
                 # Get file statistics and append file to dictionary
                 try:
                     file_stat = entry.stat()

src/murfey/util/config.py

@@ -48,6 +48,10 @@ class MachineConfig(BaseModel):  # type: ignore
     analyse_created_directories: list[str] = []
     gain_reference_directory: Optional[Path] = None
     eer_fractionation_file_template: str = ""
+    substrings_blacklist: dict[str, list] = {
+        "directories": [],
+        "files": [],
+    }
 
     # Data transfer setup -------------------------------------------------------------
     # Rsync setup

src/murfey/util/processing_params.py

@@ -54,14 +54,18 @@ def cryolo_model_path(visit: str, instrument_name: str) -> Path:
     return machine_config.default_model
 
 
-class CLEMAlignAndMergeParameters(BaseModel):
+class CLEMProcessingParameters(BaseModel):
+    # Atlas vs GridSquare registration threshold
+    atlas_threshold: float = 0.0015  # in m
+
+    # Image alignment and merging-specific parameters
     crop_to_n_frames: Optional[int] = 50
     align_self: Literal["enabled", ""] = "enabled"
     flatten: Literal["mean", "min", "max", ""] = "mean"
     align_across: Literal["enabled", ""] = "enabled"
 
 
-default_clem_align_and_merge_parameters = CLEMAlignAndMergeParameters()
+default_clem_processing_parameters = CLEMProcessingParameters()
 
 
 class SPAParameters(BaseModel):

src/murfey/workflows/clem/register_preprocessing_results.py

@@ -22,7 +22,7 @@
 from murfey.server import _transport_object
 from murfey.util.models import GridSquareParameters
 from murfey.util.processing_params import (
-    default_clem_align_and_merge_parameters as processing_params,
+    default_clem_processing_parameters as processing_params,
 )
 from murfey.workflows.clem import get_db_entry
 from murfey.workflows.clem.align_and_merge import submit_cluster_request
@@ -51,6 +51,14 @@ class CLEMPreprocessingResult(BaseModel):
     extent: list[float]  # [x0, x1, y0, y1]
 
 
+def _is_clem_atlas(result: CLEMPreprocessingResult):
+    # If an image has a width/height of at least 1.5 mm, it should qualify as an atlas
+    return (
+        max(result.pixels_x * result.pixel_size, result.pixels_y * result.pixel_size)
+        >= processing_params.atlas_threshold
+    )
+
+
 def _register_clem_image_series(
     session_id: int,
     result: CLEMPreprocessingResult,
@@ -142,9 +150,7 @@ def _register_clem_image_series(
 
     # Add metadata for this series
     clem_img_series.search_string = str(output_file.parent / "*tiff")
-    clem_img_series.data_type = (
-        "atlas" if "Overview_" in result.series_name else "grid_square"
-    )
+    clem_img_series.data_type = "atlas" if _is_clem_atlas(result) else "grid_square"
     clem_img_series.number_of_members = result.number_of_members
     clem_img_series.pixels_x = result.pixels_x
     clem_img_series.pixels_y = result.pixels_y
@@ -181,7 +187,7 @@ def _register_dcg_and_atlas(
         dcg_name += f"--{result.series_name.split('--')[1]}"
 
     # Determine values for atlas
-    if "Overview_" in result.series_name:  # These are atlas datasets
+    if _is_clem_atlas(result):
         output_file = list(result.output_files.values())[0]
         atlas_name = str(output_file.parent / "*.tiff")
         atlas_pixel_size = result.pixel_size
@@ -197,7 +203,7 @@ def _register_dcg_and_atlas(
         dcg_entry = dcg_search[0]
         # Update atlas if registering atlas dataset
         # and data collection group already exists
-        if "Overview_" in result.series_name:
+        if _is_clem_atlas(result):
             atlas_message = {
                 "session_id": session_id,
                 "dcgid": dcg_entry.id,

tests/client/test_watchdir.py

@@ -0,0 +1,180 @@
+import os
+import queue
+import threading
+from pathlib import Path
+
+import pytest
+
+from murfey.client.watchdir import DirWatcher
+from tests.conftest import ExampleVisit
+
+
+def test_dirwatcher_initialises(tmp_path: Path):
+    # Check that the DirWatcher initialises with the default attributes
+    watcher = DirWatcher(path=str(tmp_path))
+    assert watcher._basepath == os.fspath(str(tmp_path))
+    assert watcher._lastscan == {}
+    assert watcher._file_candidates == {}
+    assert watcher._statusbar is None
+    assert watcher.settling_time == 60
+    assert watcher._appearance_time is None
+    assert watcher._substrings_blacklist == {}
+    assert watcher._transfer_all is True
+    assert watcher._modification_overwrite is None
+    assert isinstance(watcher._init_time, float)
+    assert isinstance(watcher.queue, queue.Queue)
+    assert isinstance(watcher.thread, threading.Thread)
+    assert watcher._stopping is False
+    assert watcher._halt_thread is False
+
+    # Check that the string representation is as expected
+    assert str(watcher) == f"<DirWatcher ({os.fspath(str(tmp_path))})>"
+
+
+@pytest.fixture
+def clem_visit_dir(tmp_path: Path):
+    visit_name = f"{ExampleVisit.proposal_code}{ExampleVisit.proposal_number}-{ExampleVisit.visit_number}"
+    visit_dir = tmp_path / "clem" / "data" / "2025" / visit_name
+    visit_dir.mkdir(parents=True, exist_ok=True)
+    return visit_dir
+
+
+@pytest.fixture
+def clem_test_files(clem_visit_dir: Path):
+    # Create test files for the DirWatcher to scan
+    file_list: list[Path] = []
+    project_dir = clem_visit_dir / "images" / "test_grid"
+
+    # Example atlas collection
+    for s in range(20):
+        file_list.append(
+            project_dir
+            / "Overview 1"
+            / "Image 1"
+            / f"Image 1--Stage{str(s).zfill(2)}.tif"
+        )
+    file_list.append(
+        project_dir / "Overview 1" / "Image 1" / "Metadata" / "Image 1.xlif"
+    )
+
+    # Example image stack collection
+    for c in range(3):
+        for z in range(10):
+            file_list.append(
+                project_dir
+                / "TileScan 1"
+                / "Position 1"
+                / f"Position 1--C{str(c).zfill(2)}--Z{str(z).zfill(2)}.tif"
+            )
+    file_list.append(
+        project_dir / "TileScan 1" / "Position 1" / "Metadata" / "Position 1.xlif"
+    )
+
+    # Create all files and directories specified
+    for file in file_list:
+        if not file.parent.exists():
+            file.parent.mkdir(parents=True)
+        if not file.exists():
+            file.touch()
+    return sorted(file_list)
+
+
+@pytest.fixture
+def clem_junk_files(clem_visit_dir: Path):
+    # Create junk files that are to be blacklisted from the CLEM workflow
+    file_list: list[Path] = []
+    project_dir = clem_visit_dir / "images" / "test_grid"
+
+    # Create junk atlas data
+    for n in range(5):
+        for s in range(20):
+            file_list.append(
+                project_dir
+                / "Image 1"
+                / f"Image 1_pmd_{n}"
+                / f"Image 1_pmd_{n}--Stage{str(s).zfill(2)}.tif"
+            )
+        file_list.append(
+            project_dir / "Image 1" / f"Image 1_pmd_{n}" / "Metadata" / "Image 1.xlif"
+        )
+
+    # Creat junk image data
+    for n in range(5):
+        for c in range(3):
+            for z in range(10):
+                file_list.append(
+                    project_dir
+                    / "Position 1"
+                    / f"Position 1_pmd_{n}"
+                    / f"Position 1_pmd_{n}--C{str(c).zfill(2)}--Z{str(z).zfill(2)}.tif"
+                )
+        file_list.append(
+            project_dir
+            / "Position 1"
+            / f"Position 1_pmd_{n}"
+            / "Metadata"
+            / "Position 1.xlif"
+        )
+
+    # Create remaining junk files
+    for file_path in (
+        "1.xlef",
+        "Metadata/IOManagerConfiguation.xlif",
+        "Metadata/Overview 1.xlcf",
+        "Metadata/TileScan 1.xlcf",
+        "Overview 1/Image 1/Image 1_histo.lof",
+        "TileScan 1/Position 1/Position 1_histo.lof",
+        "Overview 1/Image 1/Metadata/Image 1_histo.xlif",
+        "TileScan 1/Position 1/Metadata/Position 1_histo.xlif",
+    ):
+        file_list.append(project_dir / file_path)
+
+    # Create files and directoriees
+    for file in file_list:
+        if not file.parent.exists():
+            file.parent.mkdir(parents=True)
+        if not file.exists():
+            file.touch()
+    return sorted(file_list)
+
+
+scan_directory_params_matrix: tuple[tuple[str, dict[str, list[str]]], ...] = (
+    # Workflow type | Substrings blacklist
+    (
+        "clem",
+        {
+            "directories": [
+                "_pmd_",
+            ],
+            "files": [
+                ".xlef",
+                ".xlcf",
+                "_histo.lof",
+                "_histo.xlif",
+                "IOManagerConfiguation.xlif",
+            ],
+        },
+    ),
+)
+
+
+@pytest.mark.parametrize("test_params", scan_directory_params_matrix)
+def test_scan_directory(
+    clem_visit_dir: Path,
+    clem_test_files: list[Path],
+    clem_junk_files: list[Path],
+    test_params: tuple[str, dict[str, list[str]]],
+):
+    # Unpack test params
+    workflow_type, substrings_blacklist = test_params
+
+    # Initialise different watchers based on the workflow to test and run the scan
+    if workflow_type == "clem":
+        watcher = DirWatcher(
+            path=str(clem_visit_dir),
+            substrings_blacklist=substrings_blacklist,
+        )
+        result = watcher._scan_directory()
+
+        # Check that the result does not contain the junk files
+        assert [str(file) for file in clem_test_files] == sorted(result.keys())