Skip to main content

Python client for AEM API

Project description

Build Status Published Version Vulnerability Scanning Status

PythonAEM

PythonAEM is a Python client for Adobe Experience Manager (AEM) API. It is written on top of swaggeraem and provides resource-oriented API and convenient response handling.

Learn more about PythonAEM:

pythonaem is part of AEM OpenCloud platform but it can be used as a stand-alone.

Installation

pip3 install pythonaem

Usage

Initialise client:

from pythonaem import PythonAem

conf = {
    'username': 'admin',
    'password': 'admin',
    'protocol': 'http',
    'host': 'localhost',
    'port': 4502,
    'debug': True,
    'verify_ssl': True,
    'ssl_ca_cert': None,
    'cert_file': None,
    'key_file': None
}
client = PythonAem(conf)

Aem:

aem = client.aem()
result = aem.get_aem_health_check({
    'tags': 'shallow',
    'combine_tags_or': 'false',
})

Flush agent:

flush_agent = client.flush_agent('author', 'some-flush-agent')

# create or update flush agent
result = flush_agent.create_update('Some Flush Agent Title', 'Some flush agent description', 'http://somehost:8080')

# check flush agent's existence
result = flush_agent.exists()

# Disable flush agent
result = flush_agent.disable()

# Enable flush agent
result = flush_agent.enable()

# delete flush agent
result = flush_agent.delete()

Replication agent:

replication_agent = client.replication_agent('author', 'some-replication-agent')

# create or update replication agent
result = replication_agent.create_update('Some Replication Agent Title', 'Some Replication agent description', 'http://somehost:8080')

# check replication agent's existence
result = replication_agent.exists()

# Disable replication agent
result = replication_agent.disable()

# Enable replication agent
result = replication_agent.enable()

# delete replication agent
result = replication_agent.delete()

Result

Each of the above method calls returns a Result, which contains message, Response, and data payload. For example:

flush_agent = client.flush_agent('author', 'some-inexisting-flush-agent')
result = flush_agent.delete()
print(result.message)
print(result.response.status_code)
print(result.response.body)
print(result.response.headers)
print(result.data)

Error Handling

flush_agent = client.flush_agent('author', 'some-inexisting-flush-agent')
try:
    result = flush_agent.delete()
except Exception as error:
    self.assertEqual(error.message, 'Flush agent some-inexisting-flush-agent not found on author')

Testing

Integration tests require an AEM instance with Shine Solutions AEM Health Check package installed.

By default it uses AEM running on http://localhost:4502 with admin username and admin password. AEM instance parameters can be configured using environment variables aem_protocol, aem_host, aem_port, aem_username, and aem_password.

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

pythonaem-1.8.0.tar.gz (14.3 kB view details)

Uploaded Source

Built Distribution

pythonaem-1.8.0-py3-none-any.whl (16.5 kB view details)

Uploaded Python 3

File details

Details for the file pythonaem-1.8.0.tar.gz.

File metadata

  • Download URL: pythonaem-1.8.0.tar.gz
  • Upload date:
  • Size: 14.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.11.3 pkginfo/1.8.2 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.63.0 CPython/3.9.4

File hashes

Hashes for pythonaem-1.8.0.tar.gz
Algorithm Hash digest
SHA256 0d2ca0db9e3df1d2f09e44db9a9fbeeeb7f3b9fdaf9613c32450199604c726ef
MD5 f4188c1a249d3b4c20bbda16f8c0970c
BLAKE2b-256 d0f8abd5bb2dd06d7d206fc44f8242b572f67727758de53fbf72aed13a772383

See more details on using hashes here.

File details

Details for the file pythonaem-1.8.0-py3-none-any.whl.

File metadata

  • Download URL: pythonaem-1.8.0-py3-none-any.whl
  • Upload date:
  • Size: 16.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.11.3 pkginfo/1.8.2 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.63.0 CPython/3.9.4

File hashes

Hashes for pythonaem-1.8.0-py3-none-any.whl
Algorithm Hash digest
SHA256 bf4e3f2077f88f15189db997b054d53d6d6eea5bcc6ffd91b824a3a67ba982ce
MD5 59fe112f47bf5185fb1a61405d92788f
BLAKE2b-256 ef3212533c14a5e59ffc23b5a6c9b08688e428416319b2c6c9ee5669bd7b9426

See more details on using hashes here.

Supported by

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