Metadata-Version: 1.1
Name: ckanapi-exporter
Version: 0.0.4
Summary: Export dataset metadata from CKAN to Excel
Home-page: https://github.com/ckan/ckanapi-exporter
Author: Sean Hammond
Author-email: ckanapi-exporter@seanh.cc
License: AGPL
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        ckanapi-exporter
        ================
        
        An API client (usable as a command-line script or as a Python library) for
        exporting dataset metadata from CKAN sites to Excel-compatible CSV files.
        
        
        Installation
        ------------
        
        To install run:
        
            pip install ckanapi-exporter
        
        
        Usage
        -----
        
        ```bash
        ckanapi-exporter --url 'http://demo.ckan.org' \
            --column "Title" --pattern '^title$' > output.csv
        ```
        
        This searches each dataset on demo.ckan.org for fields matching the
        [regular expression](https://docs.python.org/2/howto/regex.html#regex-howto)
        `^title$` (the `--pattern` argument) and puts the values into a
        column called "Title" in the CSV file (the `--column` argument).  It'll create
        an `output.csv` file something like this:
        
        <table>
          <tr>
            <th>Title</th>
          </tr>
          <tr>
            <td>Senior Salaries Information</td>
          </tr>
          <tr>
            <td>Demo Data for Open Data in 1 Day - Spending Over £500</td>
          </tr>
          <tr>
            <td>UK Cat Burglaries</td>
          </tr>
          <tr>
            <td>...</td>
          </tr>
        </table>
        
        You can add as many columns as you want: just add a `--column` and a
        `--pattern` argument for each column. The title of the column in the CSV file
        can be anything you want - it doesn't have to match the name of the field in
        CKAN. Let's add a second column titled "Rights" that contains the
        `license_title` fields from the datasets:
        
        ```bash
        ckanapi-exporter --url 'http://demo.ckan.org' \
            --column "Title" --pattern '^title$' \
            --column "Rights" --pattern '^license_title$' > output.csv
        ```
        
        <table>
          <tr>
            <th>Title</th>
            <th>Rights</th>
          </tr>
          <tr>
            <td>Senior Salaries Information</td>
            <td>Creative Commons Attribution</td>
          </tr>
          <tr>
            <td>Demo Data for Open Data in 1 Day - Spending Over £500</td>
            <td>Creative Commons CCZero</td>
          </tr>
          <tr>
            <td>UK Cat Burglaries</td>
            <td>UK Open Government Licence (OGL)</td>
          </tr>
          <tr>
            <td>...</td>
            <td>...</td>
          </tr>
        </table>
        
        
        ### Transformations
        
        You can apply certain transformations to the values from the datasets.
        For example, let's add a third column with the first 50 characters of each
        dataset's description (the `notes` field in the CKAN API):
        
        ```bash
        ckanapi-exporter --url 'http://demo.ckan.org' \
            --column "Title" --pattern '^title$' \
            --column "Rights" --pattern '^license_title$' \
            --column "Description" --pattern '^notes$' --max-length 50 > output.csv
        ```
        
        <table>
          <tr>
            <th>Title</th>
            <th>Rights</th>
            <th>Description</th>
          </tr>
          <tr>
            <td>Senior Salaries Information</td>
            <td>Creative Commons Attribution</td>
            <td>Demo information about senior salaries from 11/04/</td>
          </tr>
          <tr>
            <td>Demo Data for Open Data in 1 Day - Spending Over £500</td>
            <td>Creative Commons CCZero</td>
            <td>Data on spending over £500 generated for Open Data</td>
          </tr>
          <tr>
            <td>UK Cat Burglaries</td>
            <td>UK Open Government Licence (OGL)</td>
            <td>A record of cat burgalries, listing the cat names,</td>
          </tr>
          <tr>
            <td>...</td>
            <td>...</td>
            <td>...</td>
          </tr>
        </table>
        
        
        ### Exporting Resource Fields
        
        Let's add a column containing the formats of each datasets' resources:
        
        ```bash
        ckanapi-exporter --url 'http://demo.ckan.org' \
            --column "Title" --pattern '^title$' \
            --column "Rights" --pattern '^license_title$' \
            --column "Description" --pattern '^notes$' --max-length 50 \
            --column Formats --pattern '^resources$' '^format$' > output.csv
        ```
        
        This time the pattern has two arguments: `--pattern '^resources$' '^format$'`.
        This means find the "resources" field of each dataset and then find the
        "format" field of each resource. When a dataset has more than one resource
        the formats will be combined into a quoted, comma-separated list in a single
        table cell. It'll create a CSV file something like this:
        
        <table>
          <tr>
            <th>Title</th>
            <th>Rights</th>
            <th>Description</th>
            <th>Formats</th>
          </tr>
          <tr>
            <td>Senior Salaries Information</td>
            <td>Creative Commons Attribution</td>
            <td>Demo information about senior salaries from 11/04/</td>
            <td>XLSX, CSV</td>
          </tr>
          <tr>
            <td>Demo Data for Open Data in 1 Day - Spending Over £500</td>
            <td>Creative Commons CCZero</td>
            <td>Data on spending over £500 generated for Open Data</td>
            <td>CSV, CSV, CSV, CSV</td>
          </tr>
          <tr>
            <td>UK Cat Burglaries</td>
            <td>UK Open Government Licence (OGL)</td>
            <td>A record of cat burgalries, listing the cat names,</td>
            <td>JPEG, CSV, CSV</td>
          </tr>
          <tr>
            <td>...</td>
            <td>...</td>
            <td>...</td>
            <td>...</td>
          </tr>
        </table>
        
        CSV is repeated a lot because lots of the datasets have multiple CSV resources.
        You can add the `--deduplicate` option to the column to remove the duplication:
        
        ```bash
        ckanapi-exporter --url 'http://demo.ckan.org' \
            --column "Title" --pattern '^title$' \
            --column "Rights" --pattern '^license_title$' \
            --column "Description" --pattern '^notes$' --max-length 50 \
            --column Formats --pattern '^resources$' '^format$' --deduplicate \
            > output.csv
        ```
        
        <table>
          <tr>
            <th>Title</th>
            <th>Rights</th>
            <th>Description</th>
            <th>Formats</th>
          </tr>
          <tr>
            <td>Senior Salaries Information</td>
            <td>Creative Commons Attribution</td>
            <td>Demo information about senior salaries from 11/04/</td>
            <td>XLSX, CSV</td>
          </tr>
          <tr>
            <td>Demo Data for Open Data in 1 Day - Spending Over £500</td>
            <td>Creative Commons CCZero</td>
            <td>Data on spending over £500 generated for Open Data</td>
            <td>CSV</td>
          </tr>
          <tr>
            <td>UK Cat Burglaries</td>
            <td>UK Open Government Licence (OGL)</td>
            <td>A record of cat burgalries, listing the cat names,</td>
            <td>JPEG, CSV</td>
          </tr>
          <tr>
            <td>...</td>
            <td>...</td>
            <td>...</td>
            <td>...</td>
          </tr>
        </table>
        
        
        ### Exporting Dataset Extras
        
        Let's add a column with the values of the "Next Update" extra from each
        dataset. Dataset publishers have been inconsistent with naming this column,
        it's sometimes "Next Update" and sometimes "next update", "Next update day",
        "Next Update Time" etc. We'll use a regular expression that matches all of
        these possible names and combine them into a single "Next Update" column:
        
        ```bash
        ckanapi-exporter --url 'http://demo.ckan.org' \
            --column "Title" --pattern '^title$' \
            --column "Rights" --pattern '^license_title$' \
            --column "Description" --pattern '^notes$' --max-length 50 \
            --column Formats --pattern '^resources$' '^format$' --deduplicate \
            --column "Next Update" --pattern '^extras$' '^next update.*' --unique \
            > output.csv
        ```
        
        The two-part pattern `'^extras$' '^next update.*'` means to look in the
        "extras" field of each dataset for extras whose name matches
        `^next update.*`. We're expecting each dataset to have only one matching
        extra so we add the `--unique` argument which will crash if a dataset has more
        than one extra matching the pattern.
        
        By default patterns are matched case-insensitively and whitespace is stripped
        from field names before matching. To match case-sensitively and without
        stripping whitespace add `--case-sensitive --strip false` to the column.
        
        We can also find multiple extras and combine them into a single column.
        For example, let's say our datasets have a "contributor" extra
        (sometimes spelled "contributor", sometimes "Contributor"). Some datasets have
        multiple extras named "Contributor 1", "Contributor 2" etc. We can find all of
        these contributor extras and combine them into a single quoted, comma-separated
        list with a pattern like this:
        
            --column Contributors --pattern '^extras$' '^contributor.*'
        
        
        ### Using a columns.json File
        
        You can specify your columns in a `columns.json` file instead of on the command
        line. Here's an example of the format:
        
        ```json
        {
          "Data Owner": {
              "pattern": "^author$",
              "unique": true,
              "case_sensitive": true
          },
          "Delivery Unit": {
              "pattern": ["^extras$", "^Delivery Unit$"],
              "unique": true
          },
          "Contributor": {
              "pattern": ["^extras$", "^Contributor.*"]
          },
          "Description": {
              "pattern": "^notes$",
              "unique": true,
              "case_sensitive": true,
              "max_length": 255
          },
          "Format": {
              "pattern": ["^resources$", "^format$"],
              "case_sensitive": true,
              "deduplicate": true
          }
        }
        ```
        
        Then tell ckanapi-exporter to read the column options from this file instead of
        giving them on the command line:
        
        ```bash
        ckanapi-exporter --url 'http://demo.ckan.org' --columns columns.json > output.csv
        ```
        
        For a working example `columns.json` file that you can use against demo.ckan.org,
        see [test_columns.json](ckanapi_exporter/test_columns.json).
        
        ckanapi-exporter is a thin wrapper around
        [losser](https://github.com/ckan/losser), hooking it up to the CKAN API.
        For more documentation of the filtering and transforming options run
        `ckanapi-exporter --help` or read losser's docs.
        
        
        Using as a Python Library
        -------------------------
        
        You can also import ckanapi-exporter in Python and use it from your CKAN API
        client or plugin:
        
        ```python
        import ckanapi_exporter.exporter as exporter
        csv_string = exporter.export('http://demo.ckan.org', 'columns.json')
        ```
        
        Returns a UTF8-encoded string.
        
        The second argument can be either the filename of the columns.json file as a
        string, or a list of dictionaries (equivalent to the contents of columns.json
        file after loading the JSON).
        
        
        Development
        -----------
        
        To install for development, create and activate a Python virtual environment
        then do:
        
        ```bash
        git clone https://github.com/ckan/ckanapi-exporter.git
        cd ckanapi-exporter
        python setup.py develop
        pip install -r dev-requirements.txt
        ```
        
        To run the tests do:
        
            nosetests
        
Keywords: ckan csv export excel api
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)
Classifier: Programming Language :: Python :: 2.7
