Tests

ckanext-comments

Add comment-trees to CKAN pages

Requirements

  • python >= 3.7
  • CKAN >= 2.9

Installation

To install ckanext-comments:

  1. Install python package

     pip install ckanext-comments

  2. Add comments to the ckan.plugins setting in your CKAN config file

  3. Apply database migrations

     ckan db upgrade -p comments

  4. Add cooments/snippets/thread.html to your package/read.html template, like this:

     {% ckan_extends %}
 {% block primary_content_inner %}
     {{ super() }}
     {% snippet 'comments/snippets/thread.html', subject_id=pkg.id, subject_type='package' %}
 {% endblock primary_content_inner %}

Config settings

# Require comment approval in order to make it visible
# (optional, default: true).
ckanext.comments.require_approval = false

# Editor(admin) can edit draft comments
# (optional, default: true).
ckanext.comments.draft_edits = true

# Editor(admin) can edit approved comments
# (optional, default: false).
ckanext.comments.approved_edits = false

# Author can edit own draft comments
# (optional, default: false).
ckanext.comments.draft_edits_by_author = false

# Author can edit own approved comments
# (optional, default: false).
ckanext.comments.approved_edits_by_author = false

# Number of reply levels that are shown on mobile layout
# (optional, default: 3).
ckanext.comments.mobile_depth_threshold = 3

Tests

To run the tests, do:

pytest --ckan-ini=test.ini

License

AGPL

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.3.1.post1)

3 maintainers

PyPI data
Data sourced directly from PyPI's database.
Avatar for DataShades from gravatar.com DataShades Avatar for mutantsan from gravatar.com mutantsan Avatar for smotornyuk from gravatar.com smotornyuk

Credits

Author: Sergey Motornyuk

License

GNU Affero General Public License v3 or later (AGPLv3+) (AGPL)

Requires

Python >=3.7

Tags

CKAN

Classifiers

Report project as malware

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0.3.1.post1

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0.1.0

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0.0.22

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0.0.20

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0.0.18

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0.0.17

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0.0.13

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0.0.11

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0.0.10

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0.0.7

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0.0.6

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0.0.5

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0.0.4

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0.0.3

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0.0.2a1

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