Overview
How to use the Browse CSV Helper
1. Provide inputs:
–filepath (optional, defaults to current directory) –filename (required, must be .csv) -rows (required, number of rows to preview from the table)
2. Run example:
python browsecsv.py --filepath ./data --file_name customers.csv --rows 2
3. Run example:
Name | Age | City | Occupation34235678594264256748e ------+-----------+----------+-------------------------------- Alice | 334567890 | New York | Engineer
Bob | 25 | London | Designer
Variables
|
Name |
Reference |
Type |
Required |
Default |
Options |
Description |
|---|---|---|---|---|---|---|
|
Workflows Folder Name |
SOURCE_FILE_PATH |
Alphanumeric |
➖ |
- |
- |
Name of the local folder on Workflows the target file is expected to be. If left blank, will look in the home directory. |
|
Workflows File Name |
FILE |
Alphanumeric |
✅ |
- |
- |
Name of file to preview. Should be `.csv` extension. |
|
Number of Rows |
NUM_ROWS |
Integer |
✅ |
5 |
- |
Number of rows to display to the logs from the workflows file. |
YAML
Below is the YAML template
source:
template: Workflows Helper - Browse CSV
inputs:
SOURCE_FILE_PATH:
FILE:
NUM_ROWS: '5'
type: TEMPLATE
guardrails:
retry_count: 1
retry_wait: 0h0m0s
runtime_cutoff: 1h0m0s
exclude_exit_code_ranges:
- 101
- 102
- 103
- 104
- 105
- 106
- 199