Auditing tools for Cova POS files
Cova Dispensary POS Audit Tools
An inventory audit tool for speeding up inventory and avoiding errors that occur during processing. This tool will allow users to complete inventory counts with a simple workflow that remedies user error.
Installation and Usage
$ pypi install audit-tools
from audit_tools.sessionmanager import SessionManager with SessionManager() as session: # invokes the session manager session.import_data("/path/to/file.xlsx") # imports data from an excel, json or csv file session.count_product('F7X6A7', 20) # Counts 20 F7X6A7's to the inventory session.increase_product('F7X6A7', 10) # Increases F7X6A7 to 30 in the inventory session.reduce_product('F7X6A7', 3) # Reduces F7X6A7 to 27 in the inventory print(session.get_product('F7X6A7')) # Returns the row of product with SKU 'F7X6A7' session.parse_session_data() # Updates session dataframes with accurate content
The session manager is the main class that manages the session. It is responsible for importing data,
counting products, and updating the session dataframes. It will take products when
called or when the
import_data() method is called.
Testing - will make sure that there is no output file
from audit_tools.sessionmanager import SessionManager with SessionManager('/path/to/file.xlsx', testing=True) as session: session.import_data('/path/to/file.xlsx')
Not working on it, do not use just there for testing and proof of concept
from audit_tools.sessionmanager import SessionManager from audit_tools.core.utils.scanner import Scanner with SessionManager('/path/to/file.xlsx') as session: # Usage of the scanner is discouraged as it is not thread safe or efficient # Scanner is mostly for testing purposes # I do not update the code often in the scanner scanner = Scanner(session) # Creates a scanner object scanner.start_count() # Starts the count process scanner.shutdown() # processes and saves session data to disk
All the problems that we encounter while processing inventory data during an audit.
- Extremely slow
- Miscounts often occur
- Redundant item checks
- Manual data entry
- User error
Our ideas for solution implementations for fixing these problems so that an Audit can be completed successfully with accuracy and speed.
- Allows users to start a new session with a products csv or xlsx file. The session manager will process all incoming products and append them to the sessions DataFrame, when you shut down the session manager will parse all the data in the session, complete variance calculations, raise any alerts, and save the session to the updated csv or xlsx file.
Scan & Count
- Allows users to scan a SKU and count the number of products to update the session file.
Scan & Edit
- Allows user to scan a SKU adn manage the data entry for a specified product in the session.
- Allows user to upload scan a receipt and the system will parse the receipt and update the session file.
This list will include all the features, current and future.
|Scan & Count||In Development|
|Scan & Edit||Planned|
Dev notes: If you come across this project, I am a newish developer, and I am not familiar with the python ecosystem especially poetry. If you are confused on the namings in this project, keep in mind this package was created for a sole reason to help the creator at work, and will be used in tandem with a handheld scanner.
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