An MSDS parser.
Project description
Installation
Tungsten is available on PyPi via pip. To install, run the following command:
pip install tungsten-sds
Usage Example
import json
from pathlib import Path
from tungsten import SigmaAldrichSdsParser, SdsQueryFieldName, \
SigmaAldrichFieldMapper
sds_parser = SigmaAldrichSdsParser()
sds_path = Path("CERILLIAN_L-001.pdf")
# Convert PDF file to parsed data
with open(sds_path, "rb") as f:
sds = sds_parser.parse_to_ghs_sds(f)
field_mapper = SigmaAldrichFieldMapper()
fields = [
SdsQueryFieldName.PRODUCT_NAME,
SdsQueryFieldName.PRODUCT_NUMBER,
SdsQueryFieldName.CAS_NUMBER,
SdsQueryFieldName.PRODUCT_BRAND,
SdsQueryFieldName.RECOMMENDED_USE_AND_RESTRICTIONS,
SdsQueryFieldName.SUPPLIER_ADDRESS,
SdsQueryFieldName.SUPPLIER_TELEPHONE,
SdsQueryFieldName.SUPPLIER_FAX,
SdsQueryFieldName.EMERGENCY_TELEPHONE,
SdsQueryFieldName.IDENTIFICATION_OTHER,
SdsQueryFieldName.SUBSTANCE_CLASSIFICATION,
SdsQueryFieldName.PICTOGRAM,
SdsQueryFieldName.SIGNAL_WORD,
SdsQueryFieldName.STATEMENTS,
SdsQueryFieldName.HNOC_HAZARD,
]
# Serialize parsed data to JSON and dump to a file
with open(sds_path.stem + ".json", "w") as f:
sds.dump(f)
# Also print out mapped fields
for field in fields:
print(field.name, field_mapper.get_field(field, json.loads(sds.dumps())))
License
This work is licensed under MIT. Media assets in the assets directory are licensed under a
Creative Commons Attribution-NoDerivatives 4.0 International Public License.
Notes
This library currently comes bundled with a new build of tabula-java, which is also licensed
under MIT, to see the full license, see https://github.com/tabulapdf/tabula-java/blob/master/LICENSE.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file tungsten_sds-0.8.0.tar.gz.
File metadata
- Download URL: tungsten_sds-0.8.0.tar.gz
- Upload date:
- Size: 12.4 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.4.2 CPython/3.10.2 Linux/5.15.0-1034-azure
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
65d3d11768036bbdb2a65a8a06cb5b08e81091b7b3a9ca35a670096d36f9345c
|
|
| MD5 |
e5e9c90476bf6ddf0fa9db769d525df1
|
|
| BLAKE2b-256 |
8ef0d61b3a1af1838c479d060c5dc68a5bd20876f0fbfbee6db3742b518b97ed
|
File details
Details for the file tungsten_sds-0.8.0-py3-none-any.whl.
File metadata
- Download URL: tungsten_sds-0.8.0-py3-none-any.whl
- Upload date:
- Size: 12.4 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.4.2 CPython/3.10.2 Linux/5.15.0-1034-azure
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
de1ec38287e0a315fda837f34fd125899428fcff4fe7125c1868fcb45fecfceb
|
|
| MD5 |
c9feb6eed844394ad65b7b1784b20cd5
|
|
| BLAKE2b-256 |
3bfafff50d3393a579d0f16fe612cc58bef1826d93a29ecdd53d900498256925
|