nsinnovations/erpnext
2
0
Fork 0
mirror of https://github.com/frappe/erpnext.git synced 2026-08-13 14:41:53 +00:00
Code Issues Packages Projects Releases Wiki Activity

refactor: simple utility for growth value computation for custom FS report

Browse Source
This commit is contained in:
Abdeali Chharchhoda
2026-05-20 11:55:03 +05:30
committed by Smit Vora
parent c179460c98
commit 698876672d
1 changed files with 19 additions and 28 deletions
Download Patch File Download Diff File Expand all files Collapse all files

47
erpnext/accounts/doctype/financial_report_template/financial_report_engine.py
View File

@@ -1860,7 +1860,7 @@ class GrowthViewTransformer:
self.formatted_rows = context.raw_data.get("formatted_data", [])
self.period_list = context.period_list
def transform(self) -> None:
def transform(self):
for row_data in self.formatted_rows:
if row_data.get("is_blank_line"):
continue
@@ -1870,50 +1870,41 @@ class GrowthViewTransformer:
else:
self._transform_single_row(row_data)
def _transform_single_row(self, row_data: dict) -> None:
transformed_values = {}
def _compute_growth_values(self, source: dict) -> dict:
transformed = {}
for i, period in enumerate(self.period_list):
current_period = period["key"]
current_value = row_data.get(current_period)
current_value = source.get(current_period)
if not isinstance(current_value, int | float):
if current_value in (None, ""):
continue
if i == 0:
transformed_values[current_period] = current_value
transformed[current_period] = current_value
else:
previous_period = self.period_list[i - 1]["key"]
previous_value = row_data.get(previous_period) or 0
transformed_values[current_period] = self._calculate_growth(previous_value, current_value)
previous_value = source.get(previous_period) or 0
transformed[current_period] = self._calculate_growth(previous_value, current_value)
row_data.update(transformed_values)
return transformed
def _transform_segmented_row(self, row_data: dict) -> None:
def _transform_single_row(self, row_data: dict):
row_data.update(self._compute_growth_values(row_data))
def _transform_segmented_row(self, row_data: dict):
for seg_id, seg_data in row_data.get("segment_values", {}).items():
if seg_data.get("is_blank_line"):
continue
transformed = {}
for i, period in enumerate(self.period_list):
current_period = period["key"]
current_value = seg_data.get(current_period)
if not isinstance(current_value, int | float):
continue
if i == 0:
transformed[current_period] = current_value
else:
previous_period = self.period_list[i - 1]["key"]
previous_value = seg_data.get(previous_period) or 0
transformed[current_period] = self._calculate_growth(previous_value, current_value)
row_data[f"{seg_id}_{current_period}"] = transformed[current_period]
transformed = self._compute_growth_values(seg_data)
seg_data.update(transformed)
for period_key, value in transformed.items():
row_data[f"{seg_id}_{period_key}"] = value
def _calculate_growth(self, previous_value: float, current_value: float) -> float | None:
if current_value is None or current_value == "":
if current_value in (None, ""):
return None
if previous_value == 0 and current_value > 0: