Generates boilerplate for data objects.

These details have not been verified by PyPI

Project links

Homepage

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Project description

Draughts

Incoming requests, outgoing queries, and messages being passed around often contain data that needs be normalized to account for things like missing data, types, or default values. This is a simple tool for generating boilerplate for data objects.

Notes:

Tries to be inplace, the dict you start with should still exist with the structure+type corrections applied.
Let IDEs check type annotations and attribute spelling.
Let you annotate fields with metadata that other systems may need in order to process the document properly.
Properties and methods are copied in.

Project details

These details have not been verified by PyPI

Project links

Homepage

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Release history Release notifications | RSS feed

This version

0.2.10

Oct 18, 2020

0.2.9

Oct 17, 2020

0.2.4

Oct 17, 2020

0.2.2

Oct 16, 2020

0.2.1

Oct 14, 2020

0.2.0

Oct 14, 2020

0.1.2

Oct 12, 2020

0.1.1

Oct 12, 2020

0.1.0

Oct 12, 2020

0.0.5

Oct 12, 2020

0.0.0

Oct 12, 2020

Download files

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

Source Distribution

draughts-0.2.10.tar.gz (14.7 kB view hashes)

Uploaded Oct 18, 2020 Source

Built Distributions

draughts-0.2.10-cp39-cp39-manylinux2010_x86_64.whl (1.9 MB view hashes)

Uploaded Oct 18, 2020 CPython 3.9 manylinux: glibc 2.12+ x86-64

draughts-0.2.10-cp39-cp39-manylinux1_x86_64.whl (1.9 MB view hashes)

Uploaded Oct 18, 2020 CPython 3.9

draughts-0.2.10-cp38-cp38-manylinux2010_x86_64.whl (2.1 MB view hashes)

Uploaded Oct 18, 2020 CPython 3.8 manylinux: glibc 2.12+ x86-64

draughts-0.2.10-cp38-cp38-manylinux1_x86_64.whl (2.1 MB view hashes)

Uploaded Oct 18, 2020 CPython 3.8

draughts-0.2.10-cp37-cp37m-manylinux2010_x86_64.whl (1.7 MB view hashes)

Uploaded Oct 18, 2020 CPython 3.7m manylinux: glibc 2.12+ x86-64

draughts-0.2.10-cp37-cp37m-manylinux1_x86_64.whl (1.7 MB view hashes)

Uploaded Oct 18, 2020 CPython 3.7m

draughts-0.2.10-cp36-cp36m-manylinux2010_x86_64.whl (1.7 MB view hashes)

Uploaded Oct 18, 2020 CPython 3.6m manylinux: glibc 2.12+ x86-64

draughts-0.2.10-cp36-cp36m-manylinux1_x86_64.whl (1.7 MB view hashes)

Uploaded Oct 18, 2020 CPython 3.6m

Hashes for draughts-0.2.10.tar.gz

Hashes for draughts-0.2.10.tar.gz
Algorithm	Hash digest
SHA256	`1e3e1121ce97b1d679b67870db20af617940dacab719bb0b63db122b19d9a67a`
MD5	`ce203882fc103687cc7a10c0e9384500`
BLAKE2b-256	`5dac3ec348ed41713f0a37bf838551dea66e62f0ed5592664efebd9e7e2bf4d4`

Hashes for draughts-0.2.10-cp39-cp39-manylinux2010_x86_64.whl

Hashes for draughts-0.2.10-cp39-cp39-manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`64a4d2cb98c2534fef536a2c41991f1a71698adfcbea9c7b56312c411b514157`
MD5	`c5004eff0522ed1b0510d6fc8293a157`
BLAKE2b-256	`32a32399af3032e6b04491d111e6330ffd1cd5b575f0c0206eaf58f0f8812dc4`

Hashes for draughts-0.2.10-cp39-cp39-manylinux1_x86_64.whl

Hashes for draughts-0.2.10-cp39-cp39-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`03b14e98caa6f4194e3b626349420d4f426a502d5dc52dbe38797adf292606de`
MD5	`c4242714a39e3036c87e3278c53f4325`
BLAKE2b-256	`8e06d9faae54c69d1a69922d83b924f3c5dabca25d143b29b574bf1f03013c19`

Hashes for draughts-0.2.10-cp38-cp38-manylinux2010_x86_64.whl

Hashes for draughts-0.2.10-cp38-cp38-manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`5e7e04ae8a4aa3ca3cfc590a50e7d7dbd11c50523b2d91973365d449b3022306`
MD5	`dc327dfd4fdfcc01522670fb60f750f2`
BLAKE2b-256	`1f516459028da7b24e291442bd471a184091c99cb686b6725028f9cde66565e9`

Hashes for draughts-0.2.10-cp38-cp38-manylinux1_x86_64.whl

Hashes for draughts-0.2.10-cp38-cp38-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`f5f62f2dc04a44f421e0fe2c9fa662485a70d86e187973dae6b4372277c10285`
MD5	`adda6209034766a630ad6e2ed5d47801`
BLAKE2b-256	`22b8bbccd74c6e8c44669a1a37d606b63828dc5e60c1242fa256667c0681af57`

Hashes for draughts-0.2.10-cp37-cp37m-manylinux2010_x86_64.whl

Hashes for draughts-0.2.10-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`5573d92dcc5de21f89804ee27c4da703ab96aa89d226511646d425d3fff5ba52`
MD5	`b7b7136f0564849571b8d9dd0faf46a0`
BLAKE2b-256	`bd65c366ad8286625deb14a8be6b5f7a5675da33caeaae08f694cbaabaa8060b`

Hashes for draughts-0.2.10-cp37-cp37m-manylinux1_x86_64.whl

Hashes for draughts-0.2.10-cp37-cp37m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`0b81b27a1178dfe40bd864676b47befd67bcb76de9dce9a9f38f083500e2beb8`
MD5	`ecf8a4e89ef86872aa16fa403a3855d4`
BLAKE2b-256	`fa5387bf97dc67b8ee21cbd7d23b51c3711c3761dd0c6f622725d946700be3f1`

Hashes for draughts-0.2.10-cp36-cp36m-manylinux2010_x86_64.whl

Hashes for draughts-0.2.10-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`9b14c57d275a1ca01cb6231bdf50000e4fd6148c74e420d47fd9c5f096af0730`
MD5	`a3a40584114c5965e9e08d7d294e3dbf`
BLAKE2b-256	`d56a6c9b94cfa12da90319689972767408e23d8f87d98eccc9795b42b318efec`

Hashes for draughts-0.2.10-cp36-cp36m-manylinux1_x86_64.whl

Hashes for draughts-0.2.10-cp36-cp36m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`9324ad5a86be5b49895365e6837becc994b0ca7a78d09bf84acb22296c2e6e72`
MD5	`8f34a0eaa31ae1f44effc2dbc4eacf0f`
BLAKE2b-256	`2b5de5fe1d239e68a7002ee67aa2a0e47c2b59460214dfc2b194cb9374991eef`