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Ember Lane Pizza: Goods-received note lines CSV

Goods-received note lines CSV for Ember Lane Pizza. 12 received lines across 4 goods-received notes. Three lines are exceptions: a short delivery of 4 units on GRN-PIZ-2002, an item substitution on GRN-PIZ-2003 where the delivered ingredient id differs from the ordered one, and a part return of 3 units on GRN-PIZ-2004. accepted_quantity equals delivered_quantity minus returned_quantity on every row.

Preview, first 14 linescsv
grn_number,grn_date,delivery_note_number,po_number,supplier_id,received_at_location_id,line_no,po_ingredient_id,delivered_ingredient_id,description,uom,ordered_quantity,delivered_quantity,returned_quantity,accepted_quantity,line_status,note
GRN-PIZ-2001,2026-08-07,DN-PIZ-3001,PO-PIZ-1001,SUP-01,LOC-01,1,ING-01,ING-01,Pizza Flour,kg,15,15,0,15,received in full,Quantity and item match the purchase order line.
GRN-PIZ-2001,2026-08-07,DN-PIZ-3001,PO-PIZ-1001,SUP-01,LOC-01,2,ING-02,ING-02,Mozzarella,kg,18,18,0,18,received in full,Quantity and item match the purchase order line.
GRN-PIZ-2001,2026-08-07,DN-PIZ-3001,PO-PIZ-1001,SUP-01,LOC-01,3,ING-03,ING-03,Crushed Tomatoes,kg,21,21,0,21,received in full,Quantity and item match the purchase order line.
GRN-PIZ-2002,2026-08-14,DN-PIZ-3002,PO-PIZ-1002,SUP-02,LOC-01,1,ING-01,ING-01,Pizza Flour,kg,17,17,0,17,received in full,Quantity and item match the purchase order line.
GRN-PIZ-2002,2026-08-14,DN-PIZ-3002,PO-PIZ-1002,SUP-02,LOC-01,2,ING-03,ING-03,Crushed Tomatoes,kg,23,19,0,19,short delivery,4 kg ordered were not on the vehicle; the driver recorded a short delivery.
GRN-PIZ-2002,2026-08-14,DN-PIZ-3002,PO-PIZ-1002,SUP-02,LOC-01,3,ING-05,ING-05,Basil,kg,29,29,0,29,received in full,Quantity and item match the purchase order line.
GRN-PIZ-2003,2026-08-21,DN-PIZ-3003,PO-PIZ-1003,SUP-01,LOC-01,1,ING-04,ING-04,Pepperoni,kg,28,28,0,28,received in full,Quantity and item match the purchase order line.
GRN-PIZ-2003,2026-08-21,DN-PIZ-3003,PO-PIZ-1003,SUP-01,LOC-01,2,ING-05,ING-01,Pizza Flour,kg,31,31,0,31,substituted,Ordered item ING-05 was out of stock; the supplier substituted ING-01 at the same quantity.
GRN-PIZ-2003,2026-08-21,DN-PIZ-3003,PO-PIZ-1003,SUP-01,LOC-01,3,ING-06,ING-06,Pizza Box,each,34,34,0,34,received in full,Quantity and item match the purchase order line.
GRN-PIZ-2004,2026-08-28,DN-PIZ-3004,PO-PIZ-1004,SUP-02,LOC-01,1,ING-02,ING-02,Mozzarella,kg,18,18,0,18,received in full,Quantity and item match the purchase order line.
GRN-PIZ-2004,2026-08-28,DN-PIZ-3004,PO-PIZ-1004,SUP-02,LOC-01,2,ING-04,ING-04,Pepperoni,kg,24,24,0,24,received in full,Quantity and item match the purchase order line.
GRN-PIZ-2004,2026-08-28,DN-PIZ-3004,PO-PIZ-1004,SUP-02,LOC-01,3,ING-06,ING-06,Pizza Box,each,30,30,3,27,part returned,3 each were rejected on arrival for condition and returned with the driver.

Specifications

Kit
restaurant-pizzeria
Schema Version
1
Synthetic
true
As Of
2026-09-08
Currency
CAD
Tax Name
GST
Tax Rate
0.05
Rows
12
Columns
17
Delimiter
comma
Encoding
UTF-8
Byte Order Mark
false
Line Endings
LF
Decimal Separator
.

Testing contract

Expected to pass
Scenario
Read goods-received note lines csv into a procure-to-pay import, three-way match and reconciliation workflow for Ember Lane Pizza.
Expected result
12 received lines across 4 goods-received notes. Three lines are exceptions: a short delivery of 4 units on GRN-PIZ-2002, an item substitution on GRN-PIZ-2003 where the delivered ingredient id differs from the ordered one, and a part return of 3 units on GRN-PIZ-2004. accepted_quantity equals delivered_quantity minus returned_quantity on every row.

What is a .csv file?

CSV (Comma-Separated Values) is a plain-text tabular format where rows are lines and fields are separated by commas, with quoting rules for values that contain delimiters, quotes, or newlines. It has no formal type system and depends on encoding and dialect conventions. It is the most portable format for tabular data exchange.

How to use this file

Use an example CSV to test parsers against quoting and embedded-delimiter edge cases, header handling, encoding detection, and import pipelines into databases or spreadsheets.

How to use this file for testing

“Ember Lane Pizza: Goods-received note lines CSV” is a deterministic Testaroo fixture for Data import, CSV parsing. Realistic faker-generated datasets with documented schemas for testing import and ETL flows.

Documented properties for this file: 12 rows · 17 columns · UTF-8 · LF. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such, expect parsers to fail loudly rather than silently accept them.

Data fixtures document their exact quirks (delimiters, encodings, null handling, schema, and row counts) in the spec table. Point your parser or importer at the file and assert it handles the documented edge cases; clean and deliberately-messy siblings make before/after diffs straightforward.

Code examples

import pandas as pd

df = pd.read_csv("goods-received.csv")
print(df.head())
print(df.dtypes)

Generated by generation/restaurant_procurement.py. Free for any use, no attribution required, license.