Skip to main content

Automation Tool for informatica Cloud

Project description

infapy

infapy is a Python library for automating with informatica cloud.

Installation

Use the package manager pip to install infapy.

pip install infapy

Usage

import infapy

# Create a File Logger
infapy.setFileLogger(name="myScriptName",level="DEBUG")

# returns 'words'
# below command to use the default profile
infaHandler=infapy.connect()

# Or use a profile to connect
infaHandler=infapy.connect(profile="DEV")

# Example to use the v2 API:
v2=infaHandler.v2()
v2.getActivityLog().getAllActivityLog()

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

License

Apache Software License

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

infapy-1.0.5.4.tar.gz (11.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

infapy-1.0.5.4-py3-none-any.whl (12.3 kB view details)

Uploaded Python 3

File details

Details for the file infapy-1.0.5.4.tar.gz.

File metadata

  • Download URL: infapy-1.0.5.4.tar.gz
  • Upload date:
  • Size: 11.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.6

File hashes

Hashes for infapy-1.0.5.4.tar.gz
Algorithm Hash digest
SHA256 ac4bef2f10bc5547c734665cce97d54d726d850f0cd61217bb999294f0151bd7
MD5 c72e8688801b46926a05dfb80104edec
BLAKE2b-256 7c8cc1caac5783a71150bd1fab7d7c277b6181f096b9f0ebf3f0bd7f7159dec1

See more details on using hashes here.

File details

Details for the file infapy-1.0.5.4-py3-none-any.whl.

File metadata

  • Download URL: infapy-1.0.5.4-py3-none-any.whl
  • Upload date:
  • Size: 12.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.6

File hashes

Hashes for infapy-1.0.5.4-py3-none-any.whl
Algorithm Hash digest
SHA256 9dfeab77b691b8d8f6256aa5cc5e74074d9d5272ffd792f8a74ede6378b2d94e
MD5 ec06ec26953ee488edd49bd226ec2b61
BLAKE2b-256 be2c29876c041a7232d123b64aa33e5d3ba1c27928d4eb2ad4176cbef9d0c1ce

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page