biometric-attendance-sync-tool | simple tool for syncing Biometric Attendance data | Data Processing library
kandi X-RAY | biometric-attendance-sync-tool Summary
kandi X-RAY | biometric-attendance-sync-tool Summary
Python Scripts to poll your biometric attendance system (BAS) for logs and sync with your ERPNext instance.
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Top functions reviewed by kandi - BETA
- Setup text boxes and labels
- Create a label
- Create a push button
- Create a field on the model
- Main function
- Sets up all devices
- Pull attendance data from device
- Convert datetime to datetime
- Set local configuration
- Validate fields
- Return local config
- Get details about the device
- Return the running status of the service
- Create a new message box
- Reads the running status of a file
- Convert a string into a date object
- Start the service
- Main entry point
- Start the thread
- Stop the service
- Stop the process
- Setup a logger
- Parse the command line
- Called when an event is closed
- Integrate the Biometric service
- Setup a Biometric window
biometric-attendance-sync-tool Key Features
biometric-attendance-sync-tool Examples and Code Snippets
Lines of Code : 3License : Strong Copyleft (GPL-3.0)
Copypython erpnext_sync_win.py update
net stop ERPNextBiometricPushService
mmc Services.msc
Community Discussions
Trending Discussions on Data Processing
QUESTION
I have a series of data processing as below:
- I have two list which contain the data I need.
- I append the lists into a new list. [tableList]
- Convert the list into dataframe and exported it into csv file. [tableDf]
Here's simplified contents of tableList:
...ANSWER
Answered 2022-Mar-23 at 14:41just to provide a convtools based alternative option:
QUESTION
I have a dataframe extracted from a csv file. I want to iterate a data process where only some of the columns's data is the mean of n rows, while the rest of the columns is the first row for each iteration.
For example, the data extracted from the csv consisted of 100 rows and 6 columns. I have a variable n_AVE = 6, which tells the code to average the data per 6 rows.
...ANSWER
Answered 2022-Mar-11 at 05:00You can group the dataframe by the grouper np.arange(len(df)) // 6 which groups the dataframe every six rows, then aggregate the columns using the desired aggregation functions to get the result, optionally reindex along axis=1 to reorder the columns
QUESTION
To generate a csv file where each column is a data of sine wave of frequency 1 Hz, 2 Hz, 3Hz, 4Hz, 5Hz, 6Hz and 7 Hz. The amplitude is one volt. There should be 100 points in one cycle and thus 700 points in seven waves.
...ANSWER
Answered 2022-Mar-03 at 13:45Here is how I will go about it:
QUESTION
I'm trying to train a neural network made with the Keras Functional API with one of the default TFDS Datasets, but I keep getting dataset related errors.
The idea is doing a model for object detection, but for the first draft I was trying to do just plain image classification (img, label). The input would be (256x256x3) images. The input layer is as follows:
...ANSWER
Answered 2022-Mar-02 at 07:54I think the problem is that each image can belong to multiple classes, so I would recommend one-hot encoding the labels. It should then work. Here is an example:
QUESTION
I have a pandas dataframe that contains only one column which contains a string. I want to apply a function to each row that will split the string by sentence and replace that row with rows generated from the function.
Example dataframe:
...ANSWER
Answered 2022-Feb-15 at 20:32Convert all your strings to a 'flat' list, and build a new DataFrame or Series of that.
QUESTION
I want to achieve this specific task, I have 2 files, the first one with emails and credentials:
...ANSWER
Answered 2021-Nov-16 at 18:02The duplication issue comes from the fact that you are reading two files in a nested way, once a line from the test.txt is read, you open the location.txt file for reading and process it. Then, you read the second line from test.txt, and re-open the location.txt and process it again.
Instead, get all the necessary data from the location.txt, say, into a dictionary, and then use it while reading the test.txt:
QUESTION
In order to create PlaceKey for addresses to link some of my tables, I need to split an address column in SnowFlake.
I am not familiar with JavaScript, but I tried Javascript UDF in SnowFlake. Then I don't know how to deal with the addresses like '123_45ThSt'.
The output of my function is like '123_45 Th St'. I am stuck here.
The expected output is '123 45Th St'. Hope someone could help me out. Much appreciated!
Below is another example and my SnowFlake SQL code:
...ANSWER
Answered 2021-Oct-03 at 22:38Assuming the format of street address, which includes number + word (ends with lower case or number) + word (start with upper case), I have below solution:
QUESTION
I have a sample of the dataframe as given below.
...ANSWER
Answered 2021-Aug-26 at 17:47Try:
QUESTION
I have two dataframes from which a new dataframe has to be created. The first one is given below.
...ANSWER
Answered 2021-Aug-25 at 21:23You can use .merge + boolean-indexing:
QUESTION
I try to open a file with openpyxl but only get the error:
raise BadZipFile("File is not a zip file") zipfile.BadZipFile: File is not a zip file
A simple code example:
...ANSWER
Answered 2021-Aug-07 at 21:20The excel files were in read-only mode. I saved the file as a new file and load_workbook worked.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install biometric-attendance-sync-tool
Setup dependencies cd biometric-attendance-sync-tool && python3 -m venv venv && source venv/bin/activate && pip install -r requirements.txt
Setup local_config.py Make a copy of and rename local_config.py.template file. Learn More
Run this script using python3 erpnext_sync.py
ERPNEXT_API_KEY: The API Key of the ERPNext User. ERPNEXT_API_SECRET: The API Secret of the ERPNext User. Please refer to this link to learn how to generate API key and secret for a user in ERPNext. The ERPNext User who's API key and secret is used, needs to have at least the following permissions: Create Permissions for 'Employee Checkin' DocType. Write Permissions for 'Shift Type' DocType. ERPNEXT_URL: The web address at which you would access your ERPNext. eg:'https://yourcompany.erpnext.com', 'https://erp.yourcompany.com'. Hint: For most cases you can leave the above two keys unchanged. For some cases you would have a lot of old punches in the biometric device. But, you would want to only import punches after certain date. You could set this key appropriately. Also, you can leave this as None if this case does not apply to you. TODO: fill this section with more info to help Non-Technical Individuals.
You need to make a copy of local_config.py.template file and rename it to local_config.py
Please fill in the relevant sections in this file as per the comments in it.
Below are the delineation of the keys contained in local_config.py: ERPNext connection configs: ERPNEXT_API_KEY: The API Key of the ERPNext User ERPNEXT_API_SECRET: The API Secret of the ERPNext User Please refer to this link to learn how to generate API key and secret for a user in ERPNext. The ERPNext User who's API key and secret is used, needs to have at least the following permissions: Create Permissions for 'Employee Checkin' DocType. Write Permissions for 'Shift Type' DocType. ERPNEXT_URL: The web address at which you would access your ERPNext. eg:'https://yourcompany.erpnext.com', 'https://erp.yourcompany.com' This script's operational configs: PULL_FREQUENCY: The time in minutes after which a pull for punches from the biometric device and push to ERPNext is attempted again. LOGS_DIRECTORY: The Directory in which the logs related to this script's whereabouts are stored. Hint: For most cases you can leave the above two keys unchanged. IMPORT_START_DATE: The date after which the punches are pushed to ERPNext. Expected Format: YYYYMMDD. For some cases you would have a lot of old punches in the biometric device. But, you would want to only import punches after certain date. You could set this key appropriately. Also, you can leave this as None if this case does not apply to you.
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