Skip to main content

pyATS AEreport: Result Collection and Reporting

Project description

pyATS is an end-to-end testing ecosystem, specializing in data-driven and reusable testing, and engineered to be suitable for Agile, rapid development iterations. Extensible by design, pyATS enables developers start with small, simple and linear test cases, and scale towards large, complex and asynchronous test suites.

pyATS is initially developed internally in Cisco, and is now available to the general public starting late 2017 through Cisco DevNet. Visit the pyATS home page at

https://developer.cisco.com/site/pyats/

AEReport Package

This is a sub-component of pyATS that handles result collection & reporting.

Requirements

pyATS currently supports Python 3.4+ on Linux & Mac systems. Windows platforms are not yet supported.

Quick Start

# install pyats as a whole
$ pip install pyats

# to upgrade this package manually
$ pip install --upgrade pyats.aereport

# to install alpha/beta versions, add --pre
$ pip install --pre pyats.aereport

For more information on setting up your Python development environment, such as creating virtual environment and installing pip on your system, please refer to Virtual Environment and Packages in Python tutorials.

Project details


Release history Release notifications | RSS feed

This version

26.4

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

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

pyats_aereport-26.4-cp314-cp314-manylinux2014_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.14

pyats_aereport-26.4-cp314-cp314-manylinux2014_aarch64.whl (9.6 MB view details)

Uploaded CPython 3.14

pyats_aereport-26.4-cp314-cp314-macosx_11_0_universal2.whl (3.9 MB view details)

Uploaded CPython 3.14macOS 11.0+ universal2 (ARM64, x86-64)

pyats_aereport-26.4-cp313-cp313-manylinux2014_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.13

pyats_aereport-26.4-cp313-cp313-manylinux2014_aarch64.whl (9.4 MB view details)

Uploaded CPython 3.13

pyats_aereport-26.4-cp313-cp313-macosx_11_0_universal2.whl (3.9 MB view details)

Uploaded CPython 3.13macOS 11.0+ universal2 (ARM64, x86-64)

pyats_aereport-26.4-cp312-cp312-manylinux2014_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.12

pyats_aereport-26.4-cp312-cp312-manylinux2014_aarch64.whl (9.7 MB view details)

Uploaded CPython 3.12

pyats_aereport-26.4-cp312-cp312-macosx_11_0_universal2.whl (3.7 MB view details)

Uploaded CPython 3.12macOS 11.0+ universal2 (ARM64, x86-64)

pyats_aereport-26.4-cp311-cp311-manylinux2014_aarch64.whl (9.7 MB view details)

Uploaded CPython 3.11

pyats_aereport-26.4-cp311-cp311-macosx_11_0_universal2.whl (3.6 MB view details)

Uploaded CPython 3.11macOS 11.0+ universal2 (ARM64, x86-64)

pyats_aereport-26.4-cp310-cp310-musllinux_1_2_x86_64.whl (9.2 MB view details)

Uploaded CPython 3.10musllinux: musl 1.2+ x86-64

pyats_aereport-26.4-cp310-cp310-manylinux2014_aarch64.whl (9.0 MB view details)

Uploaded CPython 3.10

pyats_aereport-26.4-cp310-cp310-macosx_11_0_universal2.whl (3.6 MB view details)

Uploaded CPython 3.10macOS 11.0+ universal2 (ARM64, x86-64)

File details

Details for the file pyats_aereport-26.4-cp314-cp314-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyats_aereport-26.4-cp314-cp314-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 97bb29323f94985be7ab74ddd748e3c41fb8a4b240efeb10c0d4fda5e1f88e8e
MD5 6d3bd133ba972ec9a53261574eaeb231
BLAKE2b-256 e7d22446f7bb6e6980668cd5fdfbc54c8974fea53de74078b550c7b549ba2a20

See more details on using hashes here.

File details

Details for the file pyats_aereport-26.4-cp314-cp314-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyats_aereport-26.4-cp314-cp314-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 dce11009ff2e20dc7d4be7cdbe48d9bc2e8b9243ed9106055d805ebed6e105e8
MD5 ec05f90457b06de09c6ed4b34a2221f1
BLAKE2b-256 41d775174ff891d5cdeb056a628bd611a77e30c3761d43617389381d1e1a691a

See more details on using hashes here.

File details

Details for the file pyats_aereport-26.4-cp314-cp314-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for pyats_aereport-26.4-cp314-cp314-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 410b9ef1d1c631566be87623d82f22c0e6a67116e250523c6d77aa7d5914e926
MD5 bd9223fc21a57a48ae7a0ca2606739e8
BLAKE2b-256 092382b29cded641a5fc7fe018620fc5fdfc61a55bb836ee42f66c6de283ccae

See more details on using hashes here.

File details

Details for the file pyats_aereport-26.4-cp313-cp313-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyats_aereport-26.4-cp313-cp313-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e54c3239620988c4f4aa40570b35785cc7b19b11c9c557b1519aab75657d61ae
MD5 f4bd7d0e849ace3d993863c2bcf877f0
BLAKE2b-256 b873634102206b62bf8b0d14119697115a3634e450adf7a1ff8b5f2b9916c51d

See more details on using hashes here.

File details

Details for the file pyats_aereport-26.4-cp313-cp313-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyats_aereport-26.4-cp313-cp313-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 16aa5da1065d432e7dde8b48a53d1419eb4767abbd282e8ae0bcedadc3a8c08b
MD5 f88ee6123495423ee83db96103660550
BLAKE2b-256 2732d3aaaeb942ea0dd6e9225d66c9b8a0c238b4c5e2be042d17022e4eb50421

See more details on using hashes here.

File details

Details for the file pyats_aereport-26.4-cp313-cp313-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for pyats_aereport-26.4-cp313-cp313-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 b48d3889a171d7168970758318fc8602e788f7dff498aa92ee8e641de3355605
MD5 b01799425e5f4755d8c6bd87bdc787af
BLAKE2b-256 c03892d1bbf0f456f397dae0aab0d66b1cd0114ec5dc73c2f446edd36b88eed7

See more details on using hashes here.

File details

Details for the file pyats_aereport-26.4-cp312-cp312-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyats_aereport-26.4-cp312-cp312-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a4d0df27a766bcd286e7f9c21def23ea4ad81f0c31e7de5bf5cb6900e5d0d2cc
MD5 18e55a56eca57b8933b89c25f991b300
BLAKE2b-256 aec4e5ff4a56e8a11402a19d87b1abaa96323747e145e4b6674a78d2fb6cd6c7

See more details on using hashes here.

File details

Details for the file pyats_aereport-26.4-cp312-cp312-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyats_aereport-26.4-cp312-cp312-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 c9034c9414f4b154da2d8e5e799a1becafa04bd29fc64ba751e7361738c1495c
MD5 82e95ebd900e9a109513d39afd599143
BLAKE2b-256 42e0d80a2560ae417e9557b4e1f4d0a9a74fd2b3fbe2e42581452fbe1bf348f4

See more details on using hashes here.

File details

Details for the file pyats_aereport-26.4-cp312-cp312-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for pyats_aereport-26.4-cp312-cp312-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 395ef6b8c9a5c69c3c5193701b60ca7bed2b37b58ce380f28f9c88f601d8a678
MD5 7dc49dd686c0a66054d6d5873e0ee25a
BLAKE2b-256 45494f82380596229294f2d9984a72d6234ecceaa11c4bd50661ee7ab76f29e5

See more details on using hashes here.

File details

Details for the file pyats_aereport-26.4-cp311-cp311-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyats_aereport-26.4-cp311-cp311-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 1d6b792e013a831261f67d400e60b3e700f9c4ae29a49b4cd98d48447948f83a
MD5 6fc18ee11a5b57f82756aeb7835cc27a
BLAKE2b-256 5ba153048b8045596aa0c66904ac6d42e3843e8d7e9c45aaad2be080ecee8883

See more details on using hashes here.

File details

Details for the file pyats_aereport-26.4-cp311-cp311-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for pyats_aereport-26.4-cp311-cp311-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 bcc7385edf2ebfd839f2ac9901d79fccf321d36ee679b97d659264eeeea359b2
MD5 bd2840ed409faa126f747f3c03e5ae07
BLAKE2b-256 980e520e81c49d6d1c75f794969dcc127d2a3aaec6d81b7f7f2f7954fcfce0b7

See more details on using hashes here.

File details

Details for the file pyats_aereport-26.4-cp310-cp310-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pyats_aereport-26.4-cp310-cp310-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 f32c249a3e033b551bf049af516228a0f29015bd2ef1d7c276d949406aee3a06
MD5 b405150113884ff6847de71fdf8ca7d4
BLAKE2b-256 144f46a342292bb5043a62405d0a2cc45ce55c9c9cbadb0da832766ccaaf87b5

See more details on using hashes here.

File details

Details for the file pyats_aereport-26.4-cp310-cp310-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyats_aereport-26.4-cp310-cp310-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 7b637ddb216b1ef7d2fa85259ccbf4651af9590b1ede1c11484fa095795581d5
MD5 2b585dd6ff78a7cb44d408432d0ff96e
BLAKE2b-256 e8fe787d3bf9420b30c96409879537375c483efa25df2c72542c558ba95a7070

See more details on using hashes here.

File details

Details for the file pyats_aereport-26.4-cp310-cp310-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for pyats_aereport-26.4-cp310-cp310-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 0fc929b681480c90a52d6c5a259935cdc1b08afe8c669ea11a62b14139d76fd3
MD5 75fd26617de7b76f6e634613ddab44e1
BLAKE2b-256 c00e703fd5c9dce9807f6225ce43b9f119a4727a1394395562640ce0f7a662bd

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