fix(dpdata): use new format module paths

dpdata 1.0 moved format backend modules under dpdata.formats. Update DP-GEN's direct backend imports and SIESTA post-processing call so importing dpgen works with the latest dpdata release.

Authored by OpenClaw (model: gpt-5.5)

Author: njzjz-bot

dpgen/auto_test/lib/abacus.py

@@ -4,9 +4,14 @@
 
 import dpdata
 import numpy as np
-from dpdata.abacus.stru import make_unlabeled_stru
+try:
+    from dpdata.formats.abacus.stru import make_unlabeled_stru
+    from dpdata.formats.vasp import poscar as dpdata_poscar
+except ModuleNotFoundError:
+    from dpdata.abacus.stru import make_unlabeled_stru
+    from dpdata.vasp import poscar as dpdata_poscar
+
 from dpdata.utils import uniq_atom_names
-from dpdata.vasp import poscar as dpdata_poscar
 
 import dpgen.generator.lib.abacus_scf as abacus_scf
 

dpgen/generator/lib/abacus_scf.py

@@ -3,7 +3,10 @@
 import re
 
 import numpy as np
-from dpdata.abacus.stru import get_frame_from_stru, make_unlabeled_stru
+try:
+    from dpdata.formats.abacus.stru import get_frame_from_stru, make_unlabeled_stru
+except ModuleNotFoundError:
+    from dpdata.abacus.stru import get_frame_from_stru, make_unlabeled_stru
 
 from dpgen.auto_test.lib import vasp
 

dpgen/generator/run.py

@@ -30,6 +30,11 @@
 
 import dpdata
 import numpy as np
+
+try:
+    from dpdata.formats.siesta import output as dpdata_siesta_output
+except ModuleNotFoundError:
+    from dpdata.siesta import output as dpdata_siesta_output
 import scipy.constants as pc
 from numpy.linalg import norm
 from packaging.version import Version
@@ -4585,9 +4590,10 @@ def post_fp_abacus_scf(iter_index, jdata):
 
         all_sys = None
         for ii, oo in zip(sys_input, sys_output):
-            _sys = dpdata.LabeledSystem(
-                oo, fmt="abacus/scf", type_map=jdata["type_map"]
-            )
+            _sys = dpdata.LabeledSystem(oo, fmt="abacus/scf")
+            if len(_sys) > 0:
+                _sys.data["atom_types"] = np.asarray(_sys.data["atom_types"], dtype=int)
+                _sys.apply_type_map(jdata["type_map"])
             if len(_sys) > 0:
                 if all_sys is None:
                     all_sys = _sys
@@ -4636,7 +4642,7 @@ def post_fp_siesta(iter_index, jdata):
                 _sys.data["energies"],
                 _sys.data["forces"],
                 _sys.data["virials"],
-            ) = dpdata.siesta.output.obtain_frame(oo)
+            ) = dpdata_siesta_output.obtain_frame(oo)
             if idx == 0:
                 all_sys = _sys
             else: