from mp_api.client import MPRester
with MPRester() as mpr:
docs = mpr.tasks.search(task_ids=[f"mp-{idx}" for idx in range(1, 100)])
raises
22 with MPRester(use_document_model=False) as mpr:
----> 23 docs = mpr.tasks.search(task_ids=[f"mp-{idx}" for idx in range(1, 100)])
File mp_api/client/routes/tasks.py:104, in TaskRester.search(self, task_ids, chemsys, elements, exclude_elements, formula, num_chunks, chunk_size, all_fields, fields)
100 chemsys = [chemsys]
102 query_params.update({"chemsys": ",".join(chemsys)})
--> 104 return super()._search(
105 num_chunks=num_chunks,
106 chunk_size=chunk_size,
107 all_fields=all_fields,
108 fields=fields,
109 **query_params,
110 )
File mp_api/client/core/client.py:977, in BaseRester._search(self, num_chunks, chunk_size, all_fields, fields, **kwargs)
954 """
955 A generic search method to retrieve documents matching specific parameters.
956
(...)
972 A list of documents.
973 """
974 # This method should be customized for each end point to give more user friendly,
...
--> 422 mod = __import__(modname, globals(), locals(), [classname], 0)
423 if hasattr(mod, classname):
424 cls_ = getattr(mod, classname)
ModuleNotFoundError: No module named 'custodian'
I tried this on 2 different machines so I don't think this is env dependent.
raises
I tried this on 2 different machines so I don't think this is env dependent.