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  • License: MIT
  • Author: Allen Institute for Neural Dynamics
  • Requires: Python >=3.10
  • Provides-Extra: dev , sync
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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

This version

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

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