This code is an XML file organizer that moves the files to different directories based on the information contained within the XML files.
The code reads NF-Es (Nota Fiscal Eletrônica) in XML files within the data directory, and based on the information within the file, moves the file to a corresponding directory. The files are moved to different directories depending on the value of the tPag element in the XML file. If the file already exists in the destination directory, a warning message is displayed. Files that do not meet the above criteria are moved to a canceled and unused files directory. When the task is completed, a completion message is displayed.
This code does not require any additional libraries, other than the standard Python libraries. Simply clone the repository or copy the code to your environment.
+--./
|-- README.md
| +--.github/
| | +--workflows/
| | |-- pylint.yml
| +--.vscode/
| |-- settings.json
| +--code/
| |-- parcel_counter.py
| |-- nfce_organizer.py
| |-- parcels_per_month.py
| |-- sorter.py
| +--data/
| |-- .gitkeep
| +--docs/
| | +--parcel_counter/
| | |-- README.md
| | +--parcels_per_month/
| | |-- README.md
| | +--sorter/
| | |-- README.md
To use this code, you need to place the XML files you want to organize inside the data folder. Then, run the code and the files will be organized and stored in the out folder. A TXT report will be generated, showing how many files were moved to each folder.
After using the code, it is recommended to move the out folder to the desired location if you want to reuse the code in the future. This way, the already organized files will be preserved, and you can continue working with the organization of XML files.
To execute the code, simply run the nfce_organizer.py Python file. The code will run and organize all the XML files in the specified directory. The code will display a warning message if the file already exists in the destination directory and a completion message after organizing the files.
If there are duplicate files, the code will identify them and save them within the duplicates folder inside the out folder. Additionally, the generated report will also indicate how many files were identified as duplicates.
To continue using the code, it is important to save the generated report, delete the processed files in the data folder, import the duplicate files back into the data folder, and run the code again.
Cards:
credit - 5073
debit - 6841
different - 2
cash - 4175
others - 1663
duplicates - 0
untagged - 0
------------------------
Total files - 17754
Invoice Due Date Report
=============================================
Month 02: 281 invoices
Month 03: 221 invoices
Month 04: 3 invoices
=============================================
Total Parcels: 505 invoices
If a file cannot be read, the code will skip to the next file. If it is not possible to move the file, a FileNotMoved exception will
be raised.
Note: Before using any of the scripts, make sure you have Python installed on your machine.
- Thiago Da Silveira Gentil