Copper Oven Bakery: Cleaning schedule
Cleaning schedule for Copper Oven Bakery. 18 tasks across 6 areas and 11 columns, with frequency in days, the responsible role, the chemical and its contact time, the last completion date and a next-due date that is exactly last_completed plus frequency_days. 4 task(s) are overdue at the period end.
task_id,area,task,frequency_days,responsible_role,chemical,contact_time_minutes,last_completed,next_due,verified_by,overdue_at_period_end
CLEAN-01,Kitchen,Degrease the extraction canopy filters,7,Supervisor,Caustic degreaser,15,2026-09-02,2026-09-09,Fictional colleague 1,no
CLEAN-02,Kitchen,Clean and sanitise all prep surfaces,1,Kitchen,Quat sanitiser 200 ppm,1,2026-09-01,2026-09-02,Fictional colleague 2,no
CLEAN-03,Kitchen,Deep clean the combi oven,7,Kitchen,Oven cleaner,20,2026-08-31,2026-09-07,Fictional colleague 3,no
CLEAN-04,Kitchen,Descale the dishwasher,30,Kitchen,Acid descaler,30,2026-08-30,2026-09-29,Fictional colleague 4,no
CLEAN-05,Kitchen,Clean under and behind the cooking line,7,Kitchen,Degreaser,10,2026-08-29,2026-09-05,Fictional colleague 5,no
CLEAN-06,Storage,Clean the walk-in cooler shelving,7,Kitchen,Neutral detergent,5,2026-08-28,2026-09-04,Fictional colleague 6,no
CLEAN-07,Storage,Defrost and clean the freezer,90,Supervisor,Neutral detergent,5,2026-08-27,2026-11-25,Fictional colleague 7,no
CLEAN-08,Storage,Rotate and date-check dry goods,3,Kitchen,None,0,2026-09-02,2026-09-05,Fictional colleague 8,no
CLEAN-09,Service,Sanitise the drinks station,1,Counter,Quat sanitiser 200 ppm,1,2026-09-01,2026-09-02,Fictional colleague 1,no
CLEAN-10,Service,Clean and polish the front counter,1,Counter,Neutral detergent,1,2026-08-31,2026-09-01,Fictional colleague 2,yes
CLEAN-11,Service,Clean the ice machine interior,14,Supervisor,Food-safe ice machine cleaner,10,2026-08-30,2026-09-13,Fictional colleague 3,no
CLEAN-12,Service,Wash and sanitise reusable service trays,1,Service,Quat sanitiser 200 ppm,1,2026-08-29,2026-08-30,Fictional colleague 4,yes
CLEAN-13,Front of house,Sweep and mop the dining floor,1,Service,Neutral detergent,1,2026-08-28,2026-08-29,Fictional colleague 5,yes
CLEAN-14,Front of house,Clean and sanitise the guest toilets,1,Service,Chlorine 1000 ppm,5,2026-08-27,2026-08-28,Fictional colleague 6,yes
CLEAN-15,Front of house,Wipe the entrance glass and door handles,1,Service,Glass cleaner,1,2026-09-02,2026-09-03,Fictional colleague 7,no
CLEAN-16,Waste,Wash and disinfect the waste bins,7,Kitchen,Chlorine 1000 ppm,5,2026-09-01,2026-09-08,Fictional colleague 8,no
CLEAN-17,Waste,Clean the external bin store,7,Supervisor,Chlorine 1000 ppm,5,2026-08-31,2026-09-07,Fictional colleague 1,no
CLEAN-18,Equipment,Calibrate probe thermometers against iced water,30,Supervisor,None,0,2026-08-30,2026-09-29,Fictional colleague 2,no
Specifications
- Kit
- restaurant-bakery
- Industry
- food-service
- Schema Version
- 1
- Synthetic
- true
- As Of
- 2026-09-08
- Currency
- CAD
- Period Start
- 2026-08-20
- Period End
- 2026-09-02
- Rows
- 18
- Columns
- 11
- Areas
- 6
- Overdue
- 4
- Delimiter
- ,
- Encoding
- UTF-8
- Line Endings
- LF
Testing contract
Expected to pass- Scenario
- Use cleaning schedule in the Copper Oven Bakery costing and daily operations workflow.
- Expected result
- 18 tasks across 6 areas and 11 columns, with frequency in days, the responsible role, the chemical and its contact time, the last completion date and a next-due date that is exactly last_completed plus frequency_days. 4 task(s) are overdue at the period end.
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
“Copper Oven Bakery: Cleaning schedule” 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: 18 rows · 11 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("cleaning-schedule.csv")
print(df.head())
print(df.dtypes)Generated by generation/restaurant_costing.py. Free for any use, no attribution required, license.
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