pyofd is a Python package for receipts query from OFD providers. It is inspired by bobby_boy project.
Installation
Install via pip:
$ pip install pyofd
Install from source:
$ git clone git://github.com/sergelevin/pyofd.git $ cd pyofd $ python setup.py install
Usage
Here is basic usage example.
import pyofd, datetime
receipt = pyofd.OFDReceipt(
fpd='FPD', total='total', rn_kkt='RN_KKT', fn='FN',
fd='FD', inn='INN', purchase_date=datetime.datetime.now()
)
result = receipt.load_receipt()
OFDReceipt class might be constructed only with arguments known from receipt data, but omitting arguments might narrow the list of OFD providers to be checked against, because different providers require different subset of data to validate receipt
Examples
For some basic examples read unit tests in test directory. More complicated examples can be found within examples directory.
load_receipt.py: Load receipt by known attributes and save items into tab-delimited file.
xlsx_receipt.py: Load receipt by known attributes and export it to MS Excel (r) .xlsx file. If nalog.ru official receipt check application credentials are provided in PYOFD_NALOGRU_LOGIN and PYOFD_NALOGRU_PASSWORD environment variables, receipt lookup via NalogRu provider is also performed. Excel file is filled with formulas and conditional formatting suitable for my personal receipt handling needs - column F is for partial refund and columns G to Z - for receipt entries categorization with autocounting subtotal across categories.
Metadata
Release files for pyofd 0.1.6
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| pyofd-0.1.6.tar.gz | 15.9 kB | Without provenance | Details |
Release files / pyofd-0.1.6.tar.gz
| Download URL | pyofd-0.1.6.tar.gz |
|---|---|
| Size | 15.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
b2ed36d8a042f317d20d1b4fe10866e007782b84de0bdd4b894bf1badfb348b1
|
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BLAKE2b-256 checksum How to use checksums |
760e1d0ef23cc28be892c4fb12568c2daa724e1f2d31e8267554fb8ba7d253a1
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
Python-urllib/3.6
|
Security for pyofd 0.1.6
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