msds-tdm 1.0.3

MSDS Package

msds-library

A python library for working with MSDS files.

Installing

pip install msds-tdm

Usage

import msds_tdm

print(msds_tdm.current_date_and_time())

OR

from msds_tdm import current_date_and_time

print(current_date_and_time())

('04/01/2022', '20:53:02')

Functions

extract_text_from_PDF(pdf_path)

This function returns all text from a PDF as a string. It requires the path of the PDF in order to find the text. It raises ValueError if file is not a PDF.

Args:

pdf_path (str): path of the PDF file

Raises:

ValueError: If file is not of PDF format

Returns:

str: all text found in the PDF

---

find_issue_revision_date(pdf_text, date_type)

This function finds date of issue or revision in the MSDS PDF. It returns N/A if date doesn't exist. It requires text of the PDF and type of date.

Args:

pdf_text (str): text in the PDF
date_type (str): {'Issue', 'Revision'}
    Type of date required from the PDF

Raises:

ValueError: When type of date requested is incorrect

Returns:

str: issue or revision date as MM/DD/YYYY

---

current_date_and_time()

Returns current date and time as a tuple

Returns:

tuple: Returns current date and time as a tuple

---

find_index_of_substring(pdf_text, input_string)

This function returns the start and end index of the input_string found in the string_from_MSDS

Args:

pdf_text (str): main string from where index is returned
input_string (str): string treated as a substring

Returns:

list: start and end index of input_string found

---

find_substring(pdf_text, substr_type)

Finds names of product, catalog number, hazard details, and signal word in pdf_text, based on the substr_type given.

Args:

pdf_text (str): text in the PDF
substr_type (str): {'CAS', 'Product, 'Hazard', 'Signal Text', 'Signal Word'}
    keyword to find substring of

Raises:

ValueError: When `substr_type` given is not supported

Returns:

str: words pertaining to the given `substr_type`

---

find_signal_word(pdf_text)

Finds signal word from text in the pdf

Args:

pdf_text (str): text in the pdf

Returns:

str: returns Danger or Warning when a hazardous substance exists. Otherwise, it returns No labeling applicable

---

return_list_of_hazards_in_MSDS(pdf_text)

finds list of hazards in the pdf after comparing from an existing database

Returns:

list: a list of all hazards that match with hazards in the existing database.

---

analyze_sigma_aldrich_sheet(pdf_path)

returns a summary of data found in the pdf as a dictionary

Args:

pdf_path (str): file path of the PDF

Raises:

ValueError: When incorrect arguments are passed to the functions.

Returns:

dict: This dictionary contains summary of the hazard related data found in the MSDS PDF.

Contributors

1. Soutick Saha - [e-mail]
2. Chintan Sawla - [e-mail]

Credits

1. Terri Bui
2. Stephen Ma
3. Dr. Mark Daniel Ward
4. The Data Mine - website