semvec/pypi-packages huggingface dataset:
nbreport 0.7.4
LSST's notebook-based report system.
License: MIT
Keywords: lsst

########
nbreport
########

nbreport is a client for creating and publishing LSST's notebook-based reports.
Notebook-based reports are generated from template repositories, computed, and published with LSST the Docs.

**Documentation:** https://nbreport.lsst.io

Installation
============

nbreport is available on pypi.org::

   pip install nbreport

nbreport is made for Python 3.6 *and newer.*

Overview
========

You can use nbreport to:

1. Create an *instance* of a report from a report repository.
2. Fill that instance in with template variables that configure the report instance.
3. Compute the report instance.
4. Publish the report instance.

Try this test command to get a sense for how nbreport work::

   nbreport test https://github.com/lsst-sqre/nbreport --git-subdir tests/TESTR-000 -c title "My first report"

This test command uses the `TESTR-000 example report repository`_ in this project's own Git repository.
Next, it creates a new instance called ``TESTR-000-test`` in your current working directory and configures the notebook so that the ``title`` variable is ``"My first report"``.
Finally, the test command runs the notebook to generate outputs.

Learn more about nbreport and how to create reports with LSST's notebook-based report system at https://nbreport.lsst.io.

.. _`TESTR-000 example report repository`: https://github.com/lsst-sqre/nbreport/tree/master/tests/TESTR-000
stail 0.2.2
CLI Tool to run and tail a step function synchronously.
License: MIT
Requires Python: >=3.7,<4.0
Keywords: step-function,aws,cli,tail,state-machine

# Stail
CLI Tool to run and tail a step function synchronously and persist event logs for the state machine execution on disk.

![Screenshot](https://raw.githubusercontent.com/imankamyabi/stail/master/images/console-screenshot.png)
(Sample screenshot of terminal output)

#### Use cases:
- Running and monitoring step function execution directly from terminal or Jupyter notebook.
- In case of error, identifying the failed task and cause of error.
- Debugging by reading events log file and all the metadata about the failed task (for example input and output).

## Installation:
```shell
pip install stail
```

## Usage

### Run
Starts a step function execution synchronously, tails the event history to the console and create a log file with all the events for the execution.

Log file is stored at stail_logs/[execution name (UUID)].log 

```shell
stail run --arn [state machine arn] --input [input]
```
#### Options:
  --arn  State machine ARN
   
  --input Input JSON to the state machine

##### Example:
```shell
stail run --arn arn:aws:states:<region>:<account_number>:stateMachine:<name> --input "{\"param\":\"hello\"}"
```

### Version
Displays the version.
```shell
stail version
```

Author: Iman Kamyabi
 
Feedback: contact@imankamyabi.com