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updated README.md
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achapkowski committed Jul 7, 2015
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# hermes
Collection of Utilities to Read/Write a Dataset's Metadata.
Allows users to easily create and modify the metadata from the feature
class. The data will be returned as a dictionary object for easy of
use. This means users can modify values and push them back into the
metadata by referencing the key names.
Collection of Utilities to Read/Write a Dataset's Metadata.
Allows users to easily create and modify the metadata from the feature
class. The data will be returned as a dictionary object for easy of
use. This means users can modify values and push them back into the
metadata by referencing the key names.

![futureramahermes](http://upload.wikimedia.org/wikipedia/en/c/cb/FuturamaHermesConrad.png "Source: wikimedia.org")

# Why?
Why not, metadata is the way users describe their data. It good to have tools to manage these datasets.
# Why use hermes?
Metadata is the way users describe their data. XML is hard, but this tool
converts the XML to a Python dictionary. This means metadata is easy to
modify, change and add.

# Requirements
- ArcGIS Desktop 10.3.x+
- Python 2.7.x

Allows users to easily create and modify the metadata from the feature
class. The data will be returned as a dictionary object for easy of
use. This means users can modify values and push them back into the
metadata by referencing the key names.

To use, just pass in the path of a feature class or table. The dataset
can be any support ArcGIS format that support metadata.

Usage Reader Example:

>>> fc =r"c:\temp\scratch.gdb\states"
>>> pw = Paperwork(dataset=fc)
>>> print pw.convert()

Usage Update Example (add searchKeys to the metadata):

>>> fc = r"c:\temp\scratch.gdb\states"
>>> pw = Paperwork(dataset=fc)
>>> val = pw.convert()
>>> val['metadata']['dataIdInfo']['searchKeys'] = {}
>>> val['metadata']['dataIdInfo']['searchKeys']['keywords'] = ['states', 'USA']
>>> pw.save(d=val)

The dictionary results explained:

All attributes begin with a '@' and will be inside the element tag.
All text values will be stated as: #text : <value>
Example:
<someelement myValue=1>i heart paperwork</someelement>
Results in:
{'someelement': { '@myValue' : 1,
'#text' : 'i heart paperwork'
}
}
Example 2:
<someelement myValue=1>
<subelement tags="fish">my value</subelement>
</someelement>
Results in:
{'someelement': { '@myValue' : 1,
"subelement" : {'@tags' : "fish",
'#text' : 'my value'
}
}
}
To use, just pass in the path of a feature class or table. The dataset
can be any support ArcGIS format that support metadata.

Usage Reader Example:

>>> fc =r"c:\temp\scratch.gdb\states"
>>> pw = Paperwork(dataset=fc)
>>> print pw.convert()

Usage Update Example (add searchKeys to the metadata):

>>> fc = r"c:\temp\scratch.gdb\states"
>>> pw = Paperwork(dataset=fc)
>>> val = pw.convert()
>>> val['metadata']['dataIdInfo']['searchKeys'] = {}
>>> val['metadata']['dataIdInfo']['searchKeys']['keywords'] = ['states', 'USA']
>>> pw.save(d=val)

The dictionary results explained:

All attributes begin with a '@' and will be inside the element tag.
All text values will be stated as: #text : <value>
Example:
<someelement myValue=1>i heart paperwork</someelement>
Results in:
{'someelement': { '@myValue' : 1,
'#text' : 'i heart paperwork'
}
}
Example 2:
<someelement myValue=1>
<subelement tags="fish">my value</subelement>
</someelement>
Results in:
{'someelement': { '@myValue' : 1,
"subelement" : {'@tags' : "fish",
'#text' : 'my value'
}
}
}

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