4 releases
0.1.3 | May 15, 2023 |
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0.1.2 | Apr 16, 2023 |
0.1.1 | Apr 15, 2023 |
0.1.0 | Apr 15, 2023 |
#68 in #points
44 downloads per month
24KB
501 lines
Point Reader
This is a simple application that can takes a VSE (official) export JSON file with the points enabled and display them in a table and optionally to a CSV file.
Enabling this feature in the new VSE tool is not public information, you will need to discuss it with your local Solutions Architect.
The VSE tool is being updated regularly so expect breaking changes to this tool.
Installation
Install via Cargo
- Install Rust
- Run:
cargo install point_reader
Uninstall:
cargo uninstall point_reader
Build from source
- Clone the repository
- Install Rust
- Run
cargo install --path .
Build using Docker
- Install Docker
- Clone the repository
git clone https://github.com/shapedthought/point_reader.git
cd point_reader
- build the image
docker build -t point_reader .
- Run using the following command:
docker run -it --rm -v ${PWD}:/tmp point_reader /bin/bash
# ./point_reader -f /tmp/VSE_export.csv -t pc -s /tmp/workload1_points.csv
This uses a bind mount as an example, you can use any method you like to get the files in/out of the container.
Usage
CLI:
Point Reader
Usage: point_reader.exe [OPTIONS] --file <FILE>
Options:
-f, --file <FILE> Path to file
-t, --tiers <TIERS> [default: pca]
-s, --save-file <SAVE_FILE>
-w, --workload <WORKLOAD>
-h, --help Print help
-V, --version Print version
Examples
Run tool without outputting to CSV:
point_reader --file VSE_Exports.json
Run tool and output to CSV:
point_reader --file VSE_Exports.json --save-file points_data.csv
The .csv is option and will be added if not provided
To run the tool and show only specific tiers, use the -t flag:
point_reader --file VSE_Exports.json --tiers pc
The tiers are:
- p = Performance Tier
- c = Capacity Tier
- a = Archive Tier
If you know the workload name you can run the tool non-interactively with the --workload flag:
point_reader --file VSE_Exports.json --workload "Workload 1"
Dependencies
~5–13MB
~144K SLoC