From 674763b52ced8797bd48eafd8e17226dd80a6e17 Mon Sep 17 00:00:00 2001
From: Daniel <d.hornung@indiscale.com>
Date: Fri, 14 Jun 2024 10:15:24 +0200
Subject: [PATCH] MAINT: Removed old development code lines.
---
src/caoscrawler/conv_impl/spss.py | 29 -----------------------------
1 file changed, 29 deletions(-)
diff --git a/src/caoscrawler/conv_impl/spss.py b/src/caoscrawler/conv_impl/spss.py
index 5bd98072..a3201ef0 100644
--- a/src/caoscrawler/conv_impl/spss.py
+++ b/src/caoscrawler/conv_impl/spss.py
@@ -44,11 +44,6 @@ ORIGINAL_TYPES = {
class SPSSConverter(converters.TableConverter):
"""Converter for SAV files (stored by SPSS)."""
- # def __init__(self, *args, **kwargs):
- # super().__init__(*args, **kwargs)
- # from IPython import embed
- # embed()
-
def create_children(self, values: GeneralStore, element: StructureElement) -> list:
assert isinstance(element, File)
# The default dtype backend "numpy_nullable" does not handle dates well.
@@ -56,12 +51,6 @@ class SPSSConverter(converters.TableConverter):
df = pd.io.spss.read_spss(element.path, dtype_backend="pyarrow")
dtypes = read_column_types(element.path)
- # if element.path.endswith(".sav"):
- # sav_df, meta = pyreadstat.read_sav(element.path, metadataonly=True)
- # from IPython import embed
- # embed()
- df.drop(range(15, len(df.index)), inplace=True)
-
# Fix datetime columns
for name, dtype in dtypes.items():
if dtype != "DATETIME":
@@ -70,9 +59,6 @@ class SPSSConverter(converters.TableConverter):
col.fillna(np.nan, inplace=True)
col.replace([np.nan], [None], inplace=True)
- # from IPython import embed
- # embed()
-
return self._children_from_dataframe(df)
@@ -216,21 +202,6 @@ directory: # corresponds to the directory given to the crawler
# python3 -m caosadvancedtools.models.parser datamodel.yaml --sync
"""
-# #
-# # Code for creating enum records:
-# #
-# """
-# for name, values in enums.items():
-# for line in f"""
-# cont = db.Container()
-# for value in {repr(values)}:
-# rec = db.Record(name=value).add_parent(name="{name}")
-# cont.append(rec)
-# cont.insert()
-# """.splitlines(keepends=True):
-# if line.strip():
-# output += f"# {line}"
-# output += "#\n"
# Actual datamodel
output += """
--
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