Support Bigscape v2 data

src/nplinker/arranger.py

@@ -236,6 +236,7 @@ def arrange_bigscape(self) -> None:
         - Check if the default BiG-SCAPE data directory exists.
         - Check if the clustering file "mix_clustering_c{config.bigscape.cutoff}.tsv" exists in the
                 BiG-SCAPE data directory.
+        - Check if the 'data_sqlite.db' file exists in the BiG-SCAPE data directory.
         """
         pass_validation = False
         if config.mode == "podp":
@@ -445,6 +446,10 @@ def validate_bigscape(bigscape_dir: Path) -> None:
     "mix_clustering_c{config.bigscape.cutoff}.tsv" where {config.bigscape.cutoff} is the
     bigscape cutoff value set in the config file.
 
+    Alternatively, the directory can contain the BiG-SCAPE database file generated by BiG-SCAPE v2.
+    At the moment, all the family assignments in the database will be used, so this database should
+    contain results from a single run with the desired cutoff.
+
     Args:
         bigscape_dir: Path to the BiG-SCAPE data directory.
 
@@ -455,5 +460,6 @@ def validate_bigscape(bigscape_dir: Path) -> None:
         raise FileNotFoundError(f"BiG-SCAPE data directory not found at {bigscape_dir}")
 
     clustering_file = bigscape_dir / f"mix_clustering_c{config.bigscape.cutoff}.tsv"
-    if not clustering_file.exists():
-        raise FileNotFoundError(f"BiG-SCAPE clustering file not found: {clustering_file}")
+    database_file = bigscape_dir / "data_sqlite.db"
+    if not clustering_file.exists() and not database_file.exists():
+        raise FileNotFoundError(f"BiG-SCAPE data not found in {clustering_file} or {database_file}")

src/nplinker/genomics/bigscape/__init__.py

@@ -1,8 +1,9 @@
 import logging
 from .bigscape_loader import BigscapeGCFLoader
+from .bigscape_loader import BigscapeV2GCFLoader
 from .runbigscape import run_bigscape
 
 
 logging.getLogger(__name__).addHandler(logging.NullHandler())
 
-__all__ = ["BigscapeGCFLoader", "run_bigscape"]
+__all__ = ["BigscapeGCFLoader", "BigscapeV2GCFLoader", "run_bigscape"]

src/nplinker/genomics/bigscape/bigscape_loader.py

@@ -1,5 +1,6 @@
 from __future__ import annotations
 import csv
+import sqlite3
 from os import PathLike
 from nplinker.logconfig import LogConfig
 from ..abc import GCFLoaderBase
@@ -59,3 +60,78 @@ def _parse_gcf(cluster_file: str) -> list[GCF]:
 
 # register as virtual class to prevent metaclass conflicts
 GCFLoaderBase.register(BigscapeGCFLoader)
+
+
+class BigscapeV2GCFLoader:
+    def __init__(self, db_file: str | PathLike, /) -> None:
+        """Build a loader for BiG-SCAPE v2 database file.
+
+        Args:
+            db_file: Path to the BiG-SCAPE v2 database file
+
+        Attributes:
+            db_file: path to the BiG-SCAPE database file.
+        """
+        self.db_file = str(db_file)
+        self._gcf_list = self._parse_gcf(self.db_file)
+
+    def get_gcfs(self, keep_mibig_only: bool = False, keep_singleton: bool = False) -> list[GCF]:
+        """Get all GCF objects.
+
+        Args:
+            keep_mibig_only: True to keep GCFs that contain only MIBiG
+                BGCs.
+            keep_singleton: True to keep singleton GCFs. A singleton GCF
+                is a GCF that contains only one BGC.
+
+        Returns:
+            a list of GCF objects.
+        """
+        gcf_list = self._gcf_list
+        if not keep_mibig_only:
+            gcf_list = [gcf for gcf in gcf_list if not gcf.has_mibig_only()]
+        if not keep_singleton:
+            gcf_list = [gcf for gcf in gcf_list if not gcf.is_singleton()]
+        return gcf_list
+
+    @staticmethod
+    def _parse_gcf(db_file: str) -> list[GCF]:
+        """Get GCF objects from database.
+
+        Args:
+            db_file: Path to the sqlite3 database file.
+
+        Returns:
+            A list of GCF objects
+        """
+        gcf_dict: dict[str, GCF] = {}
+
+        with sqlite3.connect(db_file) as connection:
+            cursor = connection.cursor()
+
+            query = """
+            SELECT gbk.path, bgc_record_family.family_id FROM bgc_record_family
+            JOIN bgc_record ON bgc_record.id = bgc_record_family.record_id
+            JOIN gbk ON gbk.id = bgc_record.gbk_id
+            """
+
+            results = cursor.execute(query).fetchall()
+
+            for result in results:
+                gbk_path, family_id = result
+
+                # take the filename of the gbk path as the bgc_id
+                # filename
+                bgc_id: str = gbk_path.split("/")[-1]
+                # remove extension
+                bgc_id = bgc_id.rsplit(".", 1)[0]
+
+                if family_id not in gcf_dict:
+                    gcf_dict[family_id] = GCF(family_id)
+                gcf_dict[family_id].bgc_ids.add(bgc_id)
+
+        return list(gcf_dict.values())
+
+
+# register as virtual class to prevent metaclass conflicts
+GCFLoaderBase.register(BigscapeV2GCFLoader)

src/nplinker/loader.py

@@ -3,7 +3,7 @@
 from nplinker import globals
 from nplinker.config import config
 from nplinker.genomics.antismash import AntismashBGCLoader
-from nplinker.genomics.bigscape import BigscapeGCFLoader
+from nplinker.genomics.bigscape import BigscapeGCFLoader, BigscapeV2GCFLoader
 from nplinker.genomics.mibig import MibigLoader
 from nplinker.genomics.utils import add_bgc_to_gcf
 from nplinker.genomics.utils import add_strain_to_bgc
@@ -159,7 +159,21 @@ def _load_genomics(self):
         bigscape_cluster_file = (
             globals.BIGSCAPE_DEFAULT_PATH / f"mix_clustering_c{config.bigscape.cutoff}.tsv"
         )
-        raw_gcfs = BigscapeGCFLoader(bigscape_cluster_file).get_gcfs()
+        bigscape_db_file = globals.BIGSCAPE_DEFAULT_PATH / f"data_sqlite.db"
+
+        # switch depending on found file. prefer V1 if both are found
+        if bigscape_cluster_file.exists():
+            loader = BigscapeGCFLoader(bigscape_cluster_file)
+            logger.debug(f"Loading BigSCAPE cluster file {bigscape_cluster_file}")
+        elif bigscape_db_file.exists():
+            loader = BigscapeV2GCFLoader(bigscape_db_file)
+            logger.debug(f"Loading BigSCAPE database file {bigscape_db_file}")
+        else:
+            raise FileNotFoundError(
+                f"BigSCAPE cluster file {bigscape_cluster_file} or database file {bigscape_db_file} not found."
+            )
+
+        raw_gcfs = loader.get_gcfs()
 
         # Step 5: add BGC objects to GCF
         all_gcfs_with_bgc, _, _ = add_bgc_to_gcf(all_bgcs_with_strain, raw_gcfs)

tests/unit/genomics/test_bigscape_loader.py

@@ -2,6 +2,7 @@
 from nplinker.genomics import GCF
 from nplinker.genomics.abc import GCFLoaderBase
 from nplinker.genomics.bigscape import BigscapeGCFLoader
+from nplinker.genomics.bigscape.bigscape_loader import BigscapeV2GCFLoader
 from .. import DATA_DIR
 
 
@@ -37,3 +38,35 @@ def test_parse_gcf(self, loader):
         assert len(gcf_list) == 5
         for gcf in gcf_list:
             assert isinstance(gcf, GCF)
+
+
+class TestBigscapeV2GCFLoader:
+    @pytest.fixture
+    def loader(self):
+        db_file = DATA_DIR / "bigscape" / "mix" / "data_sqlite.db"
+        loader = BigscapeV2GCFLoader(db_file)
+        yield loader
+
+    def test_abc(self, loader):
+        assert issubclass(BigscapeV2GCFLoader, GCFLoaderBase)
+        assert isinstance(loader, GCFLoaderBase)
+
+    def test_init(self, loader):
+        assert loader.db_file == str(DATA_DIR / "bigscape" / "mix" / "data_sqlite.db")
+
+    @pytest.mark.parametrize(
+        "keep_mibig_only, keep_singleton, expected",
+        [(False, False, 1), (True, False, 2), (False, True, 2), (True, True, 4)],
+    )
+    def test_get_gcfs_v2(self, loader, keep_mibig_only, keep_singleton, expected):
+        gcfs = loader.get_gcfs(keep_mibig_only, keep_singleton)
+        assert isinstance(gcfs, list)
+        assert len(gcfs) == expected
+        assert isinstance(gcfs[0], GCF)
+
+    def test_parse_gcf_v2(self, loader):
+        gcf_list = BigscapeV2GCFLoader._parse_gcf(loader.db_file)
+        assert isinstance(gcf_list, list)
+        assert len(gcf_list) == 4
+        for gcf in gcf_list:
+            assert isinstance(gcf, GCF)