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

This version

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

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-0.15.17.tar.gz (1.2 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-0.15.17-py3-none-any.whl (96.4 kB view details)

Uploaded Python 3

File details

Details for the file aind_metadata_upgrader-0.15.17.tar.gz.

File metadata

  • Download URL: aind_metadata_upgrader-0.15.17.tar.gz
  • Upload date:
  • Size: 1.2 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-0.15.17.tar.gz
Algorithm Hash digest
SHA256 7275c6142719fe686a541ce0372be90422a3f9edc3f57c74e1a21886e39ef31b
MD5 c7d4a3738225e79c307aa27d59e708b9
BLAKE2b-256 1141ba2c97e4c28a63875f6f51c653c3e98fec610a3d356c65ce133313f95c8c

See more details on using hashes here.

File details

Details for the file aind_metadata_upgrader-0.15.17-py3-none-any.whl.

File metadata

File hashes

Hashes for aind_metadata_upgrader-0.15.17-py3-none-any.whl
Algorithm Hash digest
SHA256 fe451bf6d24a0c275579f02413f9f44009a22b86d0e8393f290664ffb8c4541c
MD5 2fa5d10660b60ea63f1dac243b587469
BLAKE2b-256 3238901d7aeeddf378d71c2533683a45b0e99d73e58d782b25b0c39a58e4e636

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