<!--header-start-->
<picture>
<source media="(prefers-color-scheme: dark)" srcset="https://data.nhm.ac.uk/images/nhm_logo.svg">
<source media="(prefers-color-scheme: light)" srcset="https://data.nhm.ac.uk/images/nhm_logo_black.svg">
<img alt="The Natural History Museum logo." src="https://data.nhm.ac.uk/images/nhm_logo_black.svg" align="left" width="150px" height="100px" hspace="40">
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# ckanext-statistics
[](https://github.com/NaturalHistoryMuseum/ckanext-statistics/actions/workflows/tests.yml)
[](https://coveralls.io/github/NaturalHistoryMuseum/ckanext-statistics)
[](https://github.com/ckan/ckan)
[](https://www.python.org/)
[](https://ckanext-statistics.readthedocs.io)
_A CKAN extension for accessing instance statistics._
<!--header-end-->
# Overview
<!--overview-start-->
Shows statistics for datasets and downloads on the CKAN instance.
**NB**: This extension currently only works with the Natural History Museum's theme extension [ckanext-nhm](https://github.com/NaturalHistoryMuseum/ckanext-nhm).
<!--overview-end-->
# Installation
<!--installation-start-->
Path variables used below:
- `$INSTALL_FOLDER` (i.e. where CKAN is installed), e.g. `/usr/lib/ckan/default`
- `$CONFIG_FILE`, e.g. `/etc/ckan/default/development.ini`
## Installing from PyPI
```shell
pip install ckanext-statistics
```
## Installing from source
1. Clone the repository into the `src` folder:
```shell
cd $INSTALL_FOLDER/src
git clone https://github.com/NaturalHistoryMuseum/ckanext-statistics.git
```
2. Activate the virtual env:
```shell
. $INSTALL_FOLDER/bin/activate
```
3. Install via pip:
```shell
pip install $INSTALL_FOLDER/src/ckanext-statistics
```
### Installing in editable mode
Installing from a `pyproject.toml` in editable mode (i.e. `pip install -e`) requires `setuptools>=64`; however, CKAN 2.9 requires `setuptools==44.1.0`. See [our CKAN fork](https://github.com/NaturalHistoryMuseum/ckan) for a version of v2.9 that uses an updated setuptools if this functionality is something you need.
## Post-install setup
1. Add 'statistics' to the list of plugins in your `$CONFIG_FILE`:
```ini
ckan.plugins = ... statistics
```
<!--installation-end-->
# Configuration
<!--configuration-start-->
These are no configuration options for this extension.
<!--configuration-end-->
# Usage
<!--usage-start-->
## Actions
### `download_statistics`
Statistics for downloads of datasets from the instance.
```python
from ckan.plugins import toolkit
# all of these filters are optional
data_dict = {
'resource_id': RESOURCE_ID,
'year': YEAR,
'month': MONTH
}
toolkit.get_action('download_statistics')(
context,
data_dict
)
```
### `dataset_statistics`
Statistics for dataset records.
```python
from ckan.plugins import toolkit
# these filters are optional
data_dict = {
'resource_id': RESOURCE_ID,
}
toolkit.get_action('dataset_statistics')(
context,
data_dict
)
```
## Commands
### `statistics`
1. `initdb`: initialise the database model
```bash
ckan -c $CONFIG_FILE statistics initdb
```
2. `gbif`: retrieve download statistics from [GBIF](https://gbif.org).
```bash
ckan -c $CONFIG_FILE statistics gbif
```
<!--usage-end-->
# Testing
<!--testing-start-->
There is a Docker compose configuration available in this repository to make it easier to run tests. The ckan image uses the Dockerfile in the `docker/` folder.
To run the tests against ckan 2.9.x on Python3:
1. Build the required images:
```shell
docker compose build
```
2. Then run the tests.
The root of the repository is mounted into the ckan container as a volume by the Docker compose
configuration, so you should only need to rebuild the ckan image if you change the extension's
dependencies.
```shell
docker compose run ckan
```
<!--testing-end-->
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"description": "<!--header-start-->\n<picture>\n <source media=\"(prefers-color-scheme: dark)\" srcset=\"https://data.nhm.ac.uk/images/nhm_logo.svg\">\n <source media=\"(prefers-color-scheme: light)\" srcset=\"https://data.nhm.ac.uk/images/nhm_logo_black.svg\">\n <img alt=\"The Natural History Museum logo.\" src=\"https://data.nhm.ac.uk/images/nhm_logo_black.svg\" align=\"left\" width=\"150px\" height=\"100px\" hspace=\"40\">\n</picture>\n\n# ckanext-statistics\n\n[](https://github.com/NaturalHistoryMuseum/ckanext-statistics/actions/workflows/tests.yml)\n[](https://coveralls.io/github/NaturalHistoryMuseum/ckanext-statistics)\n[](https://github.com/ckan/ckan)\n[](https://www.python.org/)\n[](https://ckanext-statistics.readthedocs.io)\n\n_A CKAN extension for accessing instance statistics._\n\n<!--header-end-->\n\n# Overview\n\n<!--overview-start-->\nShows statistics for datasets and downloads on the CKAN instance.\n\n**NB**: This extension currently only works with the Natural History Museum's theme extension [ckanext-nhm](https://github.com/NaturalHistoryMuseum/ckanext-nhm).\n\n<!--overview-end-->\n\n# Installation\n\n<!--installation-start-->\nPath variables used below:\n- `$INSTALL_FOLDER` (i.e. where CKAN is installed), e.g. `/usr/lib/ckan/default`\n- `$CONFIG_FILE`, e.g. `/etc/ckan/default/development.ini`\n\n## Installing from PyPI\n\n```shell\npip install ckanext-statistics\n```\n\n## Installing from source\n\n1. Clone the repository into the `src` folder:\n ```shell\n cd $INSTALL_FOLDER/src\n git clone https://github.com/NaturalHistoryMuseum/ckanext-statistics.git\n ```\n\n2. Activate the virtual env:\n ```shell\n . $INSTALL_FOLDER/bin/activate\n ```\n\n3. Install via pip:\n ```shell\n pip install $INSTALL_FOLDER/src/ckanext-statistics\n ```\n\n### Installing in editable mode\n\nInstalling from a `pyproject.toml` in editable mode (i.e. `pip install -e`) requires `setuptools>=64`; however, CKAN 2.9 requires `setuptools==44.1.0`. See [our CKAN fork](https://github.com/NaturalHistoryMuseum/ckan) for a version of v2.9 that uses an updated setuptools if this functionality is something you need.\n\n## Post-install setup\n\n1. Add 'statistics' to the list of plugins in your `$CONFIG_FILE`:\n ```ini\n ckan.plugins = ... statistics\n ```\n\n<!--installation-end-->\n\n# Configuration\n\n<!--configuration-start-->\nThese are no configuration options for this extension.\n\n<!--configuration-end-->\n\n# Usage\n\n<!--usage-start-->\n## Actions\n\n### `download_statistics`\nStatistics for downloads of datasets from the instance.\n\n```python\nfrom ckan.plugins import toolkit\n\n# all of these filters are optional\ndata_dict = {\n 'resource_id': RESOURCE_ID,\n 'year': YEAR,\n 'month': MONTH\n }\n\ntoolkit.get_action('download_statistics')(\n context,\n data_dict\n)\n```\n\n### `dataset_statistics`\nStatistics for dataset records.\n\n```python\nfrom ckan.plugins import toolkit\n\n# these filters are optional\ndata_dict = {\n 'resource_id': RESOURCE_ID,\n }\n\ntoolkit.get_action('dataset_statistics')(\n context,\n data_dict\n)\n```\n\n## Commands\n\n### `statistics`\n\n1. `initdb`: initialise the database model\n ```bash\n ckan -c $CONFIG_FILE statistics initdb\n ```\n\n2. `gbif`: retrieve download statistics from [GBIF](https://gbif.org).\n ```bash\n ckan -c $CONFIG_FILE statistics gbif\n ```\n\n<!--usage-end-->\n\n# Testing\n\n<!--testing-start-->\nThere is a Docker compose configuration available in this repository to make it easier to run tests. The ckan image uses the Dockerfile in the `docker/` folder.\n\nTo run the tests against ckan 2.9.x on Python3:\n\n1. Build the required images:\n ```shell\n docker compose build\n ```\n\n2. Then run the tests.\n The root of the repository is mounted into the ckan container as a volume by the Docker compose\n configuration, so you should only need to rebuild the ckan image if you change the extension's\n dependencies.\n ```shell\n docker compose run ckan\n ```\n\n<!--testing-end-->\n",
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