Skip to main content

validate data stored in CSV, PRN, ODS or Excel files

Project description

PyPI Documentation Build Status Test coverage Black

Cutplace is a tool and API to validate that tabular data stored in CSV, Excel, ODS and PRN files conform to a cutplace interface definition (CID).

As an example, consider the following customers.csv file that stores data about customers:

customer_id,surname,first_name,born,gender
1,Beck,Tyler,1995-11-15,male
2,Gibson,Martin,1969-08-18,male
3,Hopkins,Chester,1982-12-19,male
4,Lopez,Tyler,1930-10-13,male
5,James,Ana,1943-08-10,female
6,Martin,Jon,1932-09-27,male
7,Knight,Carolyn,1977-05-25,female
8,Rose,Tammy,2004-01-12,female
9,Gutierrez,Reginald,2010-05-18,male
10,Phillips,Pauline,1960-11-09,female

A CID can describe such a file in an easy to read way. It consists of three sections. First, there is the general data format:

Property

Value

D

Format

Delimited

D

Encoding

UTF-8

D

Header

1

D

Line delimiter

LF

D

Item delimiter

,

Next there are the fields stored in the data file:

Name

Example

Empty

Length

Type

Rule

F

customer_id

3798

Integer

0…99999

F

surname

Miller

…60

F

first_name

John

X

…60

F

date_of_birth

1978-11-27

DateTime

YYYY-MM-DD

F

gender

male

X

Choice

female, male

Optionally you can describe conditions that must be met across the whole file:

Description

Type

Rule

C

customer must be unique

IsUnique

customer_id

The CID can be stored in common spreadsheet formats, in particular Excel and ODS, for example cid_customers.ods.

Cutplace can validate that the data file conforms to the CID:

$ cutplace cid_customers.ods customers.csv

Now add a new line with a broken date_of_birth:

73921,Harris,Diana,04.08.1953,female

Cutplace rejects this file with the error message:

customers.csv (R12C4): cannot accept field ‘date_of_birth’: date must match format YYYY-MM-DD (%Y-%m-%d) but is: ‘04.08.1953’

Additionally, cutplace provides an easy to use API to read and write tabular data files using a common interface without having to deal with the intrinsic of data format specific modules. To read and validate the above example:

import cutplace
import cutplace.errors

cid_path = 'cid_customers.ods'
data_path = 'customers.csv'
try:
    for row in cutplace.rows(cid_path, data_path):
        pass  # We could also do something useful with the data in ``row`` here.
except cutplace.errors.DataError as error:
    print(error)

For more information, read the documentation at http://cutplace.readthedocs.org/ or visit the project at https://github.com/roskakori/cutplace.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cutplace-0.9.0.tar.gz (58.7 kB view hashes)

Uploaded Source

Built Distribution

cutplace-0.9.0-py3-none-any.whl (67.1 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page