From 0ee6707d9b23c91aa2a28aa4c8393da5fddbc7e8 Mon Sep 17 00:00:00 2001
From: Sven Augustin <sven.augustin@psi.ch>
Date: Fri, 27 May 2022 20:46:59 +0200
Subject: [PATCH] restructure

---
 download.py                   |  2 +-
 tableapi.py                   |  2 +-
 utils/df2bin.py               | 27 +++++++++++++++++++++++++++
 utils/{df_utils.py => dfh.py} | 27 ---------------------------
 4 files changed, 29 insertions(+), 29 deletions(-)
 create mode 100644 utils/df2bin.py
 rename utils/{df_utils.py => dfh.py} (68%)

diff --git a/download.py b/download.py
index d3cee77..a28f86d 100644
--- a/download.py
+++ b/download.py
@@ -1,6 +1,6 @@
 import streamlit as st
 
-from utils.df_utils import to_excel_binary, to_hdf_binary
+from utils.df2bin import to_excel_binary, to_hdf_binary
 
 
 state = st.session_state
diff --git a/tableapi.py b/tableapi.py
index 7607523..589d238 100644
--- a/tableapi.py
+++ b/tableapi.py
@@ -1,6 +1,6 @@
 import cherrypy as cp
 
-from utils.df_utils import DateFrameHolder
+from utils.dfh import DateFrameHolder
 from utils.st_utils import rerun
 
 
diff --git a/utils/df2bin.py b/utils/df2bin.py
new file mode 100644
index 0000000..9158459
--- /dev/null
+++ b/utils/df2bin.py
@@ -0,0 +1,27 @@
+from io import BytesIO
+
+
+def to_excel_binary(df, **kwargs):
+    with BytesIO() as out:
+        df.to_excel(out, **kwargs)
+        res = out.getvalue()
+    return res
+
+
+
+from pandas import HDFStore
+
+
+def to_hdf_binary(df):
+    with HDFStore(
+        "wontbewritten.h5",
+        mode="a",
+        driver="H5FD_CORE",
+        driver_core_backing_store=0
+    ) as out:
+        out["/data"] = df
+        res = out._handle.get_file_image()
+    return res
+
+
+
diff --git a/utils/df_utils.py b/utils/dfh.py
similarity index 68%
rename from utils/df_utils.py
rename to utils/dfh.py
index 6b8ad89..25dd1be 100644
--- a/utils/df_utils.py
+++ b/utils/dfh.py
@@ -45,30 +45,3 @@ def dump_non_empty_df(df, fn, key="data"):
 
 
 
-from io import BytesIO
-
-
-def to_excel_binary(df, **kwargs):
-    with BytesIO() as out:
-        df.to_excel(out, **kwargs)
-        res = out.getvalue()
-    return res
-
-
-
-from pandas import HDFStore
-
-
-def to_hdf_binary(df):
-    with HDFStore(
-        "wontbewritten.h5",
-        mode="a",
-        driver="H5FD_CORE",
-        driver_core_backing_store=0
-    ) as out:
-        out["/data"] = df
-        res = out._handle.get_file_image()
-    return res
-
-
-