Wrap up initial data access refactor

.github/workflows/coverage.yml

@@ -19,7 +19,7 @@ jobs:
           python-version: 3.9
 
       - run: python -m pip install --upgrade pip tox
-      - run: tox -e pytest-local -- --cov-report=xml
+      - run: tox -e pytest-local -- --cov=powersimdata --cov-report=xml
 
       - name: Upload coverage to Codecov
         uses: codecov/codecov-action@v1

.github/workflows/test.yml

@@ -25,4 +25,4 @@ jobs:
           python-version: ${{ matrix.python-version }}
 
       - run: python -m pip install --upgrade pip tox
-      - run: tox -e pytest-local
+      - run: tox -e pytest-local -- --cov=powersimdata

Dockerfile

@@ -1,7 +1,6 @@
 FROM python:3.8.3
 
 RUN apt-get update
-RUN apt-get install gawk
 RUN ln -s /mnt/bes/pcm $HOME/ScenarioData
 
 COPY powersimdata/utility/templates /mnt/bes/pcm/

powersimdata/data_access/csv_store.py

@@ -1,13 +1,7 @@
 import functools
-import os
-import shutil
-from pathlib import Path
-from tempfile import mkstemp
 
 import pandas as pd
 
-from powersimdata.utility import server_setup
-
 
 def verify_hash(func):
     """Utility function which verifies the sha1sum of the file before writing
@@ -25,6 +19,19 @@ def wrapper(self, *args, **kwargs):
     return wrapper
 
 
+def _parse_csv(file_object):
+    """Read file from disk into data frame
+
+    :param str, path object or file-like object file_object: a reference to
+    the csv file
+    :return: (*pandas.DataFrame*) -- the specified file as a data frame.
+    """
+    table = pd.read_csv(file_object)
+    table.set_index("id", inplace=True)
+    table.fillna("", inplace=True)
+    return table.astype(str)
+
+
 class CsvStore:
     """Base class for common functionality used to manage scenario and execute
     list stored as csv files on the server
@@ -43,42 +50,21 @@ def get_table(self):
         :return: (*pandas.DataFrame*) -- the specified table as a data frame.
         """
         filename = self._FILE_NAME
-        local_path = Path(server_setup.LOCAL_DIR, filename)
-
         try:
-            self.data_access.copy_from(filename)
+            return self._get_table(filename)
         except:  # noqa
-            print(f"Failed to download {filename} from server")
-            print("Falling back to local cache...")
-
-        if local_path.is_file():
-            return self._parse_csv(local_path)
-        else:
-            raise FileNotFoundError(f"{filename} does not exist locally.")
+            return self._get_table(filename + ".2")
 
-    def _parse_csv(self, file_object):
-        """Read file from disk into data frame
-
-        :param str, path object or file-like object file_object: a reference to
-        the csv file
-        :return: (*pandas.DataFrame*) -- the specified file as a data frame.
-        """
-        table = pd.read_csv(file_object)
-        table.set_index("id", inplace=True)
-        table.fillna("", inplace=True)
-        return table.astype(str)
+    def _get_table(self, filename):
+        self.data_access.copy_from(filename)
+        with self.data_access.get(filename) as (f, _):
+            return _parse_csv(f)
 
     def commit(self, table, checksum):
         """Save to local directory and upload if needed
 
         :param pandas.DataFrame table: the data frame to save
         :param str checksum: the checksum prior to download
         """
-        tmp_file, tmp_path = mkstemp(dir=server_setup.LOCAL_DIR)
-        table.to_csv(tmp_path)
-        shutil.copy(tmp_path, os.path.join(server_setup.LOCAL_DIR, self._FILE_NAME))
-        os.close(tmp_file)
-        tmp_name = os.path.basename(tmp_path)
-        self.data_access.push(tmp_name, checksum, change_name_to=self._FILE_NAME)
-        if os.path.exists(tmp_path):  # only required if data_access is LocalDataAccess
-            os.remove(tmp_path)
+        with self.data_access.push(self._FILE_NAME, checksum) as f:
+            table.to_csv(f)