Getting Started

This page gives a introduction on how to get started with ChemSchematicResolver. This assumes you already have ChemSchematicResolver and all dependencies installed.

Extract Image

It's simplest to run ChemSchematicResolver on an image file.

Open a python terminal and import the library with:

>>> import chemschematicresolver as csr

Then run:

>>> result = csr.extract_image('<path/to/image/file>')

to perform the extraction.

This runs ChemSchematicResolver on the image and returns a list of tuples to output. Each tuple consists of a SMILES string and a list of label candidates, where each tuple identifies a unique structure. For example:

>>> print(result)
[(['1a'], 'C1=CC=CC=C1'), (['1b'], 'C1=CC=CC(=C1)C')]

Extract Document

To automatically extract the structures and labels of diagrams from a HTML or XML article, use the extract_document method instead:

>>> result = csr.extract_document('<path/to/document/file>')

If the user has permissions to access the full article, this function will download all relevant images locally to a directory called csr, and extract from them automatically. The csr directory with then be deleted.

The tool currently supports HTML documents from the Royal Society of Chemistry and Springer, as well as XML files obtained using the Elsevier Developers Portal .

ChemSchematicResolver will return the chemical records extracted by ChemDataExtractor, enriched wigth the structure and raw label from the image. For example:

>>> print(result)
{'labels': ['1a'], 'roles': ['compound'], 'melting_points': [{'value': '5', 'units': '°C'}], 'diagram': { 'smiles': 'C1=CC=CC=C1', 'label': '1a' } }

Alternatively, if you just want the structures and labels extracted from the images without the ChemDataExtractor output, include the extract_all flag:

>>> result = csr.extract_document('<path/to/document/file>', extract_all=False)

which, for the above example, will return:

>>> print(output)
[(['1a'], 'C1=CC=CC=C1')]

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