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EXIF data extraction app for Mayan EDMS.

Project description

https://gitlab.com/mayan-edms/exif/raw/master/contrib/art/logo.png

Description

Mayan EDMS app that extracts image documents’ EXIF data.

License

This project is open sourced under the MIT License.

Installation

  • Activate the virtualenv where you installed Mayan EDMS.

  • Install from PyPI:

    pip install mayan-exif
    

In your settings/local.py file add exif to your INSTALLED_APPS list:

INSTALLED_APPS += (
    'exif',
)

Run the migrations for the app:

mayan-edms.py migrate

Settings

EXIF_BACKEND: Specifies the backend used to extract the EXIF data, default: exif.backends.exiftool.EXIFTool.

Usage

EXIF data is extracted automatically upon initial document upload or version uploads. The EXIF data is available via the .exif_value_of. accessor of the document version model. Example:

{{ document.exif_value_of.FileType }}

or:

{{ document.latest_version.exif_value_of.FileType }}

returns the ‘PNG’ string for PNG image files. This accessor can be used anywhere template expressions are used: indexing, smart links, etc.

Development

Clone repository in a directory outside of Mayan EDMS:

git clone https://gitlab.com/mayan-edms/exif.git

Symlink the app into your Mayan EDMS’ app folder:

ln -s <repository directory>/exif/ <Mayan EDMS directory>/mayan/apps

In your settings/local.py file add exif to your INSTALLED_APPS list:

INSTALLED_APPS += (
    'exif',
)

Run the migrations for the app:

./manage.py migrate

EXIF Backends are just a class with a single method called execute which receives a document version instance and returns a dictionary of EXIF tags with their corresponding values. The default backend calls exiftool using the JSON parameter and then turn that JSON result into a Python dictionary:

class EXIFTool(object):
    def execute(self, document_version):
        new_file_object, temp_filename = tempfile.mkstemp()

        try:
            document_version.save_to_file(filepath=temp_filename)
            result = exiftool(temp_filename)
            return json.loads(result.stdout)[0]
        finally:
            fs_cleanup(filename=temp_filename)

1.0.0 (2015-12-22)

  • Initial release

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