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70 lines
1.7 KiB
Python
70 lines
1.7 KiB
Python
# Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
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# License: GNU General Public License v3. See license.txt
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from frappe import _
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from erpnext.controllers.trends import get_columns, get_data
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def execute(filters=None):
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if not filters:
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filters = {}
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data = []
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conditions = get_columns(filters, "Quotation")
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data = get_data(filters, conditions)
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chart_data = get_chart_data(data, conditions, filters)
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return conditions["columns"], data, None, chart_data
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def get_chart_data(data, conditions, filters):
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if not (data and conditions):
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return []
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datapoints = []
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if filters.get("based_on") in ["Customer"]:
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start = 3
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elif filters.get("based_on") in ["Item"]:
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start = 2
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else:
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start = 1
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if filters.get("group_by"):
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start += 1
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# fetch only periodic columns as labels
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columns = conditions.get("columns")[start:-2][2::2]
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labels = [column.split(":")[0] for column in columns]
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datapoints = [0] * len(labels)
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group_by_col_idx = None
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if filters.get("group_by"):
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group_by_col_idx = conditions["columns"].index(conditions["grbc"][0])
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for row in data:
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# Skip the final grand-total row
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if row[0] == f"'{_('Total')}'":
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continue
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if group_by_col_idx is not None and row[group_by_col_idx] == "":
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continue
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# Remove None values and compute only periodic data
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row = [x if x else 0 for x in row[start:-2]]
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row = row[2::2]
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for i in range(len(row)):
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datapoints[i] += row[i]
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return {
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"data": {
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"labels": labels,
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"datasets": [{"name": _(filters.get("period")) + " " + _("Quoted Amount"), "values": datapoints}],
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},
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"type": "line",
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"lineOptions": {"regionFill": 1},
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"fieldtype": "Currency",
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"options": "currency",
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"currency": conditions.get("company_currency"),
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}
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