TalentSavvy ImproveTeam

Scripts for data extraction scripts from software development systems

Installation

Install the package using pip:

pip install talentsavvy-improveteam

That's it! The package is published on PyPI, so no special index URLs or authentication is required.

This will automatically install all required dependencies:

paramiko
pytz
python-dateutil
pandas
requests
urllib3

Viewing Package Information

To view package information including installation location:

pip show talentsavvy-improveteam

This displays:

Package metadata (version, author, etc.)
Installation location (Location field)
Required dependencies
Entry points (available commands)

Accessing This Documentation

The full README documentation is available in several ways:

PyPI Website: View the package page at https://pypi.org/project/talentsavvy-improveteam/
- The README content is displayed automatically on the package page
Using pip: The pip show command displays basic package information including location and dependencies
Package Metadata: The README is included in the package's metadata (as long_description)

Installed Files: After installation, the README can be found at:

<site-packages>/talentsavvy_improveteam-<version>.dist-info/metadata.json

Or view the raw README content:

python -c "import pkg_resources; print(pkg_resources.get_distribution('talentsavvy-improveteam').get_metadata('DESCRIPTION.rst'))"

Configuration

The package includes a sample config.json file that contains the configuration template.

Finding the Package Location

To locate where the package files are installed, use the following command to get the Location:

pip show talentsavvy-improveteam

The config.json file is installed at:

<site-packages>/common/config.json

Where <site-packages> is typically:

Windows: C:\Python<version>\Lib\site-packages\ (system-wide) or C:\Users\<username>\AppData\Local\Programs\Python\Python<version>\Lib\site-packages\ (user installation)
Linux/macOS: /usr/local/lib/python<version>/site-packages/ (system-wide) or ~/.local/lib/python<version>/site-packages/ (user installation)

Setup Instructions

Update config.json with your specific configuration values for each data source you plan to use.
Refer to each extraction script's documentation for the specific configuration keys it requires.

Usage

After installing the package, you can run the data extraction scripts from the command line.

Running Data Extraction Scripts

Each extraction script can be run with the following syntax:

extract_<source> -s <start_date>

Where <source> is one of:

azuredevops_boards - Azure DevOps work item events
azuredevops_pipelines - Azure DevOps pipeline events
azuredevops_repos - Azure DevOps repository events
bitbucket_pipelines - Bitbucket pipeline events
bitbucket_repos - Bitbucket repository events
github - GitHub repository events
github_actions - GitHub Actions workflow events
gitlab - GitLab repository events
gitlab_pipelines - GitLab Pipelines events
jenkins - Jenkins build and deployment events
jira - Jira work item events
octopus - Octopus Deploy deployment events
outsystems - OutSystems development events

And <start_date> is optional and should be in YYYY-MM-DD format.

Examples

Extract Jira work items:

extract_jira -s 2025-04-01

Extract GitLab code events:

extract_gitlab -s 2025-04-01

Extract Jenkins builds:

extract_jenkins -s 2025-04-01

If no start date is provided, the scripts will use the last checkpoint date (if available) or a default date.

Output

The extracted data will be saved as CSV files in the directory specified by the EXPORT_PATH key in your config.json file (default: ./export directory).

Each script maintains a checkpoint file to track the last extraction timestamp, allowing for incremental extractions on subsequent runs.

SFTP Upload

After extraction, you can upload the CSV files to an SFTP server:

sftp_upload

This will upload all CSV files from the export directory to the configured SFTP server and delete them locally after successful upload.

Release files for talentsavvy-improveteam 1.3.205

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for talentsavvy-improveteam 1.3.205
File	Size	Uploaded
talentsavvy_improveteam-1.3.205.tar.gz	191.4 kB	Sep 19, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for talentsavvy-improveteam 1.3.205
File	Interpreter	ABI	Platform	Reset
talentsavvy_improveteam-1.3.205-py3-none-any.whl 197.9 kB Sep 19, 2026	Python 3	none	any	Details

Total release size: 389.4 kB

Release files / talentsavvy_improveteam-1.3.205.tar.gz

Download URL	talentsavvy_improveteam-1.3.205.tar.gz
Size	191.4 kB
Tags	Source
SHA-256 checksum How to use checksums	`5498dbf9bf777d103d1bf16399d7daec6af6294374d17d9a3066f7833b37f4b8`
BLAKE2b-256 checksum How to use checksums	`11bfb16123c0742a2a6f01f74478da2b2c225f3325267377a7a01a4e9b428ad7`
Upload date	Sep 19, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.9.25`

Release files / talentsavvy_improveteam-1.3.205-py3-none-any.whl

Download URL	talentsavvy_improveteam-1.3.205-py3-none-any.whl
Size	197.9 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`c14caf1c920f46661c63f1fd246482d79312ec75913cc559f8dfbd7d3408e856`
BLAKE2b-256 checksum How to use checksums	`7738b2171038a7b200220a4c352c6ea29fb2b22904bef21b5901217683d9065b`
Upload date	Sep 19, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.9.25`