OS2mo-data-import-and-export

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Avatar for magenta from gravatar.com magenta Avatar for OS2mo from gravatar.com OS2mo Avatar for Skeen from gravatar.com Skeen

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  • License: OSI Approved (MPL-2.0)
  • Author: Magenta ApS
  • Tags DIPEX, OS2mo-data-import-and-export
  • Requires: Python >=3.8, <4.0
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Project description

Magentas officielle repo til integrationer og eksportfunktioner til OS2MO.

For spørgsmål til koden eller brug af den, er man velkommen til at kontakte Magenta ApS <info@magenta.dk>

Usage

Start en OS2mo stak vha. docker-compose, se detaljer her: * https://os2mo.readthedocs.io/en/1.16.1/dev/environment/docker.html?#docker-compose

Når dette er sket, kan DIPEX udviklingsmiljøet startes med: ` docker-compose up -d --build ` Når kommandoen er kørt færdig, kan man hoppe ind i containeren med: ` docker-compose exec dipex /bin/bash ` Dette giver en terminal i containeren, hvorfra diverse programmer kan køres. Et fælles entrypoint til programmerne findes ved at køre: ` python3 metacli.py ` Forbindelsen imod OS2mo, kan testes med programmet: check_connectivity: ` python3 metacli.py check_connectivity --mora-base http://mo `

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for magenta from gravatar.com magenta Avatar for OS2mo from gravatar.com OS2mo Avatar for Skeen from gravatar.com Skeen

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: OSI Approved (MPL-2.0)
  • Author: Magenta ApS
  • Tags DIPEX, OS2mo-data-import-and-export
  • Requires: Python >=3.8, <4.0
Classifiers

Release history Release notifications | RSS feed

5.50.10

5.50.9

5.50.8

5.50.7

5.50.6

5.50.5

5.50.4

5.50.3

5.50.2

5.50.1

5.50.0

5.49.0

5.48.1

5.48.0

5.47.0

5.46.0

5.45.0

5.44.1

5.44.0

5.43.0

5.42.0

5.41.0

5.40.1

5.40.0

5.39.2

5.39.1

5.39.0

5.38.2

5.38.1

5.38.0

5.37.1

5.37.0

5.36.1

5.36.0

5.35.0

5.34.3

5.34.2

5.34.1

5.34.0

5.33.1

5.33.0

5.32.0

5.31.3

5.31.2

5.31.1

5.31.0

5.30.0

5.29.0

5.28.0

5.27.2

5.27.1

5.27.0

5.26.0

5.25.1

5.25.0

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5.17.13

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5.15.10

5.15.9

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5.13.11

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5.8.0

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5.4.1

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5.2.0

5.1.2

5.1.1

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5.0.0

4.59.0

4.58.1

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4.55.0

4.54.11

4.54.10

4.54.9

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4.44.6

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3.57.6

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3.56.0

3.55.1

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3.51.0

3.50.1

3.50.0

3.49.0

3.48.0

3.47.0

3.46.6

3.46.5

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3.46.3

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3.45.0

3.44.0

3.43.1

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3.42.2

3.42.1

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3.41.0

3.40.2

3.40.1

3.40.0

3.39.2

3.39.1

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3.38.0

3.37.1

3.37.0

3.36.0

3.35.0

3.34.1

3.34.0

3.33.3

3.33.2

3.33.1

3.33.0

3.32.0

3.31.1

3.31.0

3.30.0

3.29.4

3.29.3

3.29.2

3.29.1

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3.28.1

3.28.0

3.27.1

3.27.0

3.26.2

3.26.1

3.26.0

3.25.4

3.25.3

3.25.2

3.25.1

3.25.0

3.24.0

3.23.0

3.22.3

3.22.2

3.22.1

3.22.0

3.21.2

3.21.1

3.21.0

3.20.1

3.20.0

3.19.4

3.19.3

3.19.2

3.19.1

3.19.0

3.18.0

3.17.4

3.17.3

3.17.2

3.17.1

3.17.0

3.16.6

3.16.5

3.16.4

3.16.3

3.16.2

3.16.1

3.16.0

3.15.4

3.15.3

3.15.2

3.15.1

3.15.0

3.14.2

3.14.1

3.14.0

3.13.0

3.12.1

3.12.0

3.11.0

3.10.0

3.9.0

3.8.0

3.7.0

3.6.0

3.5.2

3.5.1

3.5.0

3.4.6

3.4.5

3.2.0

3.1.2

3.1.1

3.1.0

3.0.0

2.44.1

2.44.0

2.43.1

2.43.0

2.42.0

2.41.2

2.41.1

2.41.0

2.40.2

This version

2.40.1

2.40.0

2.39.3

2.39.2

2.39.1

2.39.0

2.38.0

2.37.2

2.37.1

2.37.0

2.36.8

2.36.7

2.36.6

2.36.5

2.36.4

2.36.3

2.36.2

2.36.1

2.36.0

2.35.2

2.35.1

2.35.0

2.34.12

2.34.11

2.34.10

2.34.9

2.34.8

2.34.7

2.34.6

2.34.5

2.34.4

2.34.3

2.34.2

2.34.1

2.34.0

2.33.3

2.33.2

2.33.1

2.33.0

2.32.6

2.32.5

2.32.4

2.32.3

2.32.2

2.32.1

2.32.0

2.31.0

2.30.0

2.29.5

2.29.4

2.29.3

2.29.2

2.29.1

2.29.0

2.28.4

2.28.3

2.28.2

2.28.1

2.28.0

2.27.0

2.26.0

2.25.0

2.24.8

2.24.7

2.24.6

2.24.5

2.24.4

2.24.3

2.24.2

2.24.1

2.24.0

2.23.1

2.23.0

2.22.6

2.22.5

2.22.4

2.22.3

2.22.2

2.22.1

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