SDSParser 0.1.4

SDSParser

SDSParser is a browser-based app for extracting chemical data from Safety Data Sheet documents. SDSParser will speed up your data-entry process by eliminating the need to read through Safety Data Sheets to get the data you care about.

For a live demo, click here: SDSParser

For testing purposes, here are some SDS files to download and use:

• Fisher Scientific
• Sigma Aldrich

Motivation

Built out of the need to quickly access chemical data from Safety Data Sheets for data-entry purposes. Each chemical manufacturer will stylize and structure their SDSs a little bit differently. SDSParser can easily be updated to read a new manufacturer format by adding a new set of regular expressions to match the format that that specific manufacturer uses.

Tech/framework used

• pdfminer, a tool for extracting information from PDF documents
• pytesseract, a python wrapper for Google's Tesseract-OCR

Features

Have some physical SDSs you need to scan and get data from? Have no fear, sds_parser will recognize your scanned file as an image and perform optical character recognition (ocr) to extract the text for you.

How to install

pip install SDSParser

How to use

Simply initialize SDSParser with an optional list of data fields you wish to extract (e.g. ['manufacturer', 'flash_point']) to the request_keys key-word argument. See configs.SDSRegexes.REQUEST_KEYS for the proper keys to use. If no keys are requested, all available data fields will be searched.

>>> from sdsparser import SDSParser
>>> request_keys = ['manufacturer', 'flash_point', 'specific_gravity', 'product_name', 'sara_311', 'nfpa_fire']
>>> parser = SDSParser(request_keys=request_keys)

Here is a list of the keys to use.

>>> from sdsparser.configs.SDSRegexes import REQUEST_KEYS
>>> REQUEST_KEYS
[
    'manufacturer',
    'product_name',
    'flash_point',
    'specific_gravity',
    'nfpa_fire',
    'nfpa_health',
    'nfpa_reactivity',
    'sara_311',
    'revision_date',
    'physical_state',
    'cas_number',
]

Call parser.get_sds_data('path/to/ExampleSDS.pdf') and pass in the path to your SDS document to get the sds data.

>>> sds_data = parser.get_sds_data('path/to/SafetyDataSheet.pdf')

.get_sds_data returns a dictionary object mapping request key names to their corresponding matches

>>> sds_data
{
 'manufacturer': 'Sigma-Aldrich',
 'product_name': 'Sodium dodecyl sulfate',
 'flash_point': '338 F',
 'specific_gravity': '3.2',
 'sara_311': 'Data not listed'
 'nfpa_fire': 'No data available'
}

If the heading for the requested data type is not found in the SDS, .get_sds_data will return the string 'Data not listed'. If the heading is found, but no data is found under it, .get_sds_data will return the string 'No data available'.

SDSParser-cli

In your terminal

path/to/sds/directory $ sdsparser parse --flash_point --specific_gravity
{'fisher_1.pdf': {'flash_point': 'No data available',
                  'specific_gravity': 'No data available'},
 'fisher_2.pdf': {'flash_point': 'No data available',
                  'specific_gravity': 'No data available'},
 'fisher_3.pdf': {'flash_point': 'No data available',
                  'specific_gravity': '1.84'},
 'fisher_5.pdf': {'flash_point': 'No data available',
                  'specific_gravity': 'No data available'}}

or

path/to/sds/directory $ sdsparser parse --csv
path/to/sds/directory $ cat sds_data.csv
Fisher,Data not listed,No data available,No data available,1,0,0,/312 Hazard CategoriesSee section 2 for more informationCWA (Clean Water Act)Not,26-Jan-2018,Powder,Data not listed
Fisher,"Salicylic acid, sodium salt",No data available,(etc...)

for more information

$ sdsparser --help

or

$ sdsparser parse --help

License

MIT © Aris Stepe