Generated from aind-library-template

Navigation

Verified details

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

Unverified details

These details have not been verified by PyPI
Meta
  • License: MIT
  • Author: Allen Institute for Neural Dynamics
  • Requires: Python >=3.10
  • Provides-Extra: dev , sync
Classifiers
Report project as malware

Project description

aind-metadata-upgrader

License Code Style semantic-release: angular Interrogate Coverage Python

I want to run the upgrader...

On my local data

from aind_metadata_upgrader.upgrade import Upgrade

# <Your code here: load your data as a dictionary, e.g. json.load(f)>

upgraded_record = Upgrade(data)
upgraded_record.save()

On a single record in V1 DocDB

from aind_metadata_upgrader.sync import run_one
run_one(record_id="<docdb_id>")

On all records in V1 DocDB

from aind_metadata_upgrader.sync import run
run()

I want to develop new upgraders

Add a new CoreUpgrader class, then include it in the MAPPINGS object.

Project details

Verified details

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

Unverified details

These details have not been verified by PyPI
Meta
  • License: MIT
  • Author: Allen Institute for Neural Dynamics
  • Requires: Python >=3.10
  • Provides-Extra: dev , sync
Classifiers

Release history Release notifications | RSS feed

0.17.1

0.17.0

0.16.2

0.16.1

0.16.0

0.15.28

0.15.27

0.15.25

0.15.24

0.15.23

0.15.22

0.15.21

0.15.20

0.15.19

0.15.18

0.15.17

0.15.16

0.15.15

0.15.14

0.15.13

0.15.12

0.15.11

0.15.10

0.15.9

0.15.8

0.15.7

0.15.6

0.15.5

0.15.4

This version

0.15.3

0.15.2

0.15.1

0.15.0

0.14.6

0.14.5

0.14.4

0.14.3

0.14.1

0.14.0

0.13.10

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

0.12.0

0.11.5

0.11.4

0.11.3

0.11.2

0.11.1

0.11.0

0.10.0

0.9.3

0.9.2

0.9.1

0.9.0

0.8.6

0.8.5

0.8.4

0.8.3

0.8.2

0.8.1

0.8.0

0.7.0

0.6.6

0.6.5

0.6.4

0.6.3

0.6.2

0.6.1

0.6.0

0.5.0

0.4.0

0.3.6

0.3.5

0.3.4

0.3.3

0.3.2

0.3.1

0.3.0

0.2.3

0.2.2

0.2.1

0.2.0

0.1.0

0.0.29

0.0.28

0.0.27

0.0.26

0.0.25

0.0.24

0.0.23

0.0.22

0.0.21

0.0.20

0.0.19

0.0.18

0.0.17

0.0.16

0.0.15

0.0.14

0.0.13

0.0.12

0.0.11

0.0.10

0.0.9

0.0.8

0.0.7

0.0.6

0.0.5

0.0.4

0.0.3

0.0.2

0.0.1

Download files

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

Source Distribution

aind_metadata_upgrader-0.15.3.tar.gz (1.3 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

aind_metadata_upgrader-0.15.3-py3-none-any.whl (93.7 kB view details)

Uploaded Python 3

File details

Details for the file aind_metadata_upgrader-0.15.3.tar.gz.

File metadata

  • Download URL: aind_metadata_upgrader-0.15.3.tar.gz
  • Upload date:
  • Size: 1.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for aind_metadata_upgrader-0.15.3.tar.gz
Algorithm Hash digest
SHA256 3f5d2c80ce02a442e4382adc3d6d16110f50ea9f5538399a04d6f92693d4eaaf
MD5 7d0c66e54933bab153fee3ae0022fa47
BLAKE2b-256 6902441b244133e6d288ba93ea941838351ea0d0ca8dcc533141b0a27a6d62f6

See more details on using hashes here.

File details

Details for the file aind_metadata_upgrader-0.15.3-py3-none-any.whl.

File metadata

File hashes

Hashes for aind_metadata_upgrader-0.15.3-py3-none-any.whl
Algorithm Hash digest
SHA256 46761b464b1d2ad759323696b19227fe63e9fd9430a64db12a55d9ac4eefb5ce
MD5 f63e87ec17e7d0ba20cfcb7bd3fa919e
BLAKE2b-256 ed898abcaabdeef0d05a9d281e8a36168ec0122ec4796e41eefc9dce92431dac

See more details on using hashes here.

Supported by

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