implement save method

corrlib/find.py

@@ -6,7 +6,7 @@ import pandas as pd
 import numpy as np
 from .input.implementations import codes
 from .tools import k2m
-from .tracker import get_file
+from .tracker import get
 # this will implement the search functionality
 
 
@@ -144,7 +144,7 @@ def find_record(path, ensemble, correlator_name, code, project=None, parameters=
     db = path + '/backlogger.db'
     if code not in codes:
         raise ValueError("Code " + code + "unknown, take one of the following:" + ", ".join(codes))
-    get_file(path, "backlogger.db")
+    get(path, "backlogger.db")
     results = _db_lookup(db, ensemble, correlator_name,code, project, parameters=parameters, created_before=created_before, created_after=created_after, updated_before=updated_before, updated_after=updated_after, revision=revision)
     if code == "sfcf":
         results = sfcf_filter(results, **kwargs)
@@ -153,13 +153,13 @@ def find_record(path, ensemble, correlator_name, code, project=None, parameters=
 
 
 def find_project(path, name):
-    get_file(path, "backlogger.db")
+    get(path, "backlogger.db")
     return _project_lookup_by_alias(os.path.join(path, "backlogger.db"), name)
 
 
 def list_projects(path):
     db = path + '/backlogger.db'
-    get_file(path, "backlogger.db")
+    get(path, "backlogger.db")
     conn = sqlite3.connect(db)
     c = conn.cursor()
     c.execute("SELECT id,aliases FROM projects")

corrlib/trackers/datalad.py

@@ -2,10 +2,19 @@ import datalad.api as dl
 import os
 
 
-def get_file(path, file):
+def get(path, file):
     if file == "backlogger.db":
         print("Downloading database...")
     else:
         print("Downloading data...")
     dl.get(os.path.join(path, file), dataset=path)
     print("> downloaded file")
+
+
+def save(path, message, files= None):
+    if files is None:
+        files = path
+    else:
+        files = [os.path.join(path, f) for f in files]
+    dl.save(files, message=message, dataset=path)
+    return