Python wrapper for Chalk's CLI

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  • Author: Chalk AI, Inc.
  • Requires: Python >=3.8.0
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Project description

Chalk Harness

This package wraps Chalk's CLI with Python to aid with testing.

Chalk enables innovative machine learning teams to focus on building the unique products and models that make their business stand out. Behind the scenes Chalk seamlessly handles data infrastructure with a best-in-class developer experience.

Example Usage

harness = CLIHarness()
harness.apply_await(force=True)
version = harness.version()
assert version.version == "v0.4.5" == harness.version_tag_only()
print(harness.whoami().user)
print(harness.token().token)

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for elliotrmarx from gravatar.com elliotrmarx

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • Author: Chalk AI, Inc.
  • Requires: Python >=3.8.0
Classifiers

Release history Release notifications | RSS feed

This version

1.27.0

1.26.9

1.26.8

1.26.7

1.26.6

1.26.5

1.26.4

1.26.3

1.26.2

1.26.1

1.26.0

1.25.9

1.25.8

1.25.7

1.25.6

1.25.5

1.25.4

1.25.3

1.25.2

1.25.1

1.25.0

1.24.19

1.24.18

1.24.17

1.24.16

1.24.15

1.24.14

1.24.13

1.24.12

1.24.11

1.24.10

1.24.9

1.24.8

1.24.7

1.24.6

1.24.5

1.24.4

1.24.3

1.24.2

1.24.1

1.24.0

1.23.17

1.23.16

1.23.15

1.23.14

1.23.13

1.23.12

1.23.11

1.23.10

1.23.9

1.23.8

1.23.7

1.23.6

1.23.5

1.23.4

1.23.3

1.23.2

1.23.1

1.23.0

1.22.4

1.22.3

1.22.2

1.22.1

1.22.0

1.21.0

1.20.0

1.19.2

1.19.1

1.19.0

1.18.4

1.18.3

1.18.2

1.18.1

1.18.0

1.17.4

1.17.3

1.17.2

1.17.1

1.17.0

1.16.0

1.15.9

1.15.8

1.15.7

1.15.6

1.15.5

1.15.4

1.15.3

1.15.2

1.15.1

1.15.0

1.14.9

1.14.8

1.14.7

1.14.6

1.14.5

1.14.4

1.14.3

1.14.2

1.14.1

1.14.0

1.13.2

1.13.1

1.13.0

1.12.4

1.12.3

1.12.2

1.12.1

1.12.0

1.11.9

1.11.8

1.11.7

1.11.6

1.11.5

1.11.4

1.11.3

1.11.2

1.11.1

1.11.0

1.10.9

1.10.8

1.10.7

1.10.6

1.10.5

1.10.4

1.10.3

1.10.2

1.10.1

1.10.0

1.9.25

1.9.24

1.9.23

1.9.22

1.9.21

1.9.20

1.9.19

1.9.18

1.9.17

1.9.16

1.9.15

1.9.14

1.9.13

1.9.12

1.9.11

1.9.10

1.9.9

1.9.8

1.9.7

1.9.6

1.9.5

1.9.4

1.9.3

1.9.2

1.9.1

1.9.0

1.8.9

1.8.8

1.8.7

1.8.6

1.8.5

1.8.4

1.8.3

1.8.2

1.8.1

1.8.0

1.7.6

1.7.5

1.7.4

1.7.3

1.7.2

1.7.1

1.7.0

1.6.9

1.6.8

1.6.7

1.6.6

1.6.5

1.6.4

1.6.3

1.6.2

1.6.1

1.6.0

1.5.9

1.5.8

1.5.7

1.5.6

1.5.5

1.5.4

1.5.3

1.5.2

1.5.1

1.5.0

1.4.9

1.4.8

1.4.7

1.4.6

1.4.5

1.4.4

1.4.3

1.4.2

1.4.1

1.4.0

1.3.9

1.3.8

1.3.7

1.3.6

1.3.5

1.3.4

1.3.3

1.3.2

1.3.1

1.3.0

1.2.4

1.2.3

1.2.2

1.2.1

1.2.0

1.1.9

1.1.8

1.1.7

1.1.6

1.1.5

1.1.4

1.1.3

1.1.2

1.1.1

1.1.0

1.0.9

1.0.8

1.0.7

1.0.6

1.0.5

1.0.4

1.0.3

1.0.2

1.0.1

0.18.0

0.17.9

0.17.8

0.17.7

0.17.6

0.17.5

0.17.4

0.17.3

0.17.2

0.17.1

0.17.0

0.16.9

0.16.8

0.16.7

0.16.6

0.16.5

0.16.4

0.16.3

0.16.2

0.16.1

0.16.0

0.15.9

0.15.8

0.15.7

0.15.6

0.15.5

0.15.4

0.15.3

0.15.2

0.15.1

0.15.0

0.14.9

0.14.8

0.14.7

0.14.6

0.14.3

0.14.2

0.14.1

0.14.0

0.13.9

0.13.8

0.13.7

0.13.6

0.13.5

0.13.4

0.13.3

0.13.2

0.13.1

0.13.0

0.12.1

0.12.0

0.11.0

0.10.9

0.10.8

0.10.7

0.10.6

0.10.5

0.10.4

0.10.3

0.10.2

0.10.1

0.10.0

0.9.9

0.9.8

0.9.7

0.9.6

0.9.5

0.9.4

0.9.3

0.9.2

0.9.1

0.9.0

0.8.9

0.8.8

0.8.7

0.8.6

0.8.5

0.8.4

0.8.3

0.8.2

0.8.1

0.8.0

0.7.9

0.7.8

0.7.7

0.7.6

0.7.5

0.7.5a0 pre-release

0.7.4

0.7.3

0.7.2

0.7.1

0.7.0

0.6.9

0.6.8

0.6.7

0.6.6

0.6.5

0.6.4

0.6.3

0.6.2

0.6.1

0.6.0

0.5.2

0.5.1

0.5.0

0.4.18

0.4.17

0.4.16

0.4.15

0.4.14

0.4.13

0.4.12

0.4.11

0.4.10

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