cloudmersive_spam_api_client

Easily and directly scan and block spam security threats in input.

This Python package provides a native API client for Cloudmersive Spam Detection API

• API version: v1
• Package version: 3.0.5
• Build package: io.swagger.codegen.languages.PythonClientCodegen

Requirements.

Python 2.7 and 3.4+

Installation & Usage

pip install

If the python package is hosted on Github, you can install directly from Github

pip install git+https://github.com/GIT_USER_ID/GIT_REPO_ID.git

(you may need to run pip with root permission: sudo pip install git+https://github.com/GIT_USER_ID/GIT_REPO_ID.git)

Then import the package:

import cloudmersive_spam_api_client 

Setuptools

Install via Setuptools.

python setup.py install --user

(or sudo python setup.py install to install the package for all users)

Then import the package:

import cloudmersive_spam_api_client

Getting Started

Please follow the installation procedure and then run the following:

from __future__ import print_function
import time
import cloudmersive_spam_api_client
from cloudmersive_spam_api_client.rest import ApiException
from pprint import pprint

# Configure API key authorization: Apikey
configuration = cloudmersive_spam_api_client.Configuration()
configuration.api_key['Apikey'] = 'YOUR_API_KEY'
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['Apikey'] = 'Bearer'

# create an instance of the API class
api_instance = cloudmersive_spam_api_client.SpamDetectionApi(cloudmersive_spam_api_client.ApiClient(configuration))
model = 'Advanced' # str | Optional: Specify which AI model to use.  Possible choices are Normal and Advanced.  Default is Advanced. (optional) (default to Advanced)
preprocessing = 'Auto' # str | Optional: Specify which preprocessing to Use.  Possible choices are None, Compatability and Auto.  Default is Auto. (optional) (default to Auto)
allow_phishing = false # bool | True if phishing should be allowed, false otherwise (optional) (default to false)
allow_unsolicited_sales = false # bool | True if unsolicited sales should be allowed, false otherwise (optional) (default to false)
allow_promotional_content = true # bool | True if promotional content should be allowed, false otherwise (optional) (default to true)
custom_policy_id = 'custom_policy_id_example' # str | Apply a Custom Policy for Spam Enforcement by providing the ID; to create a Custom Policy, navigate to the Cloudmersive Management Portal and select Custom Policies.  Requires Managed Instance or Private Cloud (optional)
input_file = '/path/to/file.txt' # file |  (optional)

try:
    # Perform advanced AI spam detection and classification against input text file.
    api_response = api_instance.spam_detect_file_advanced_post(model=model, preprocessing=preprocessing, allow_phishing=allow_phishing, allow_unsolicited_sales=allow_unsolicited_sales, allow_promotional_content=allow_promotional_content, custom_policy_id=custom_policy_id, input_file=input_file)
    pprint(api_response)
except ApiException as e:
    print("Exception when calling SpamDetectionApi->spam_detect_file_advanced_post: %s\n" % e)

Documentation for API Endpoints

All URIs are relative to https://api.cloudmersive.com

Documentation For Models

• SpamDetectionAdvancedFormField
• SpamDetectionAdvancedFormSubmissionRequest
• SpamDetectionAdvancedRequest
• SpamDetectionAdvancedResponse
• SpamDetectionFormSubmissionAdvancedResponse
• SpamDetectionRequest
• SpamDetectionResponse

Documentation For Authorization

Apikey

• Type: API key
• API key parameter name: Apikey
• Location: HTTP header

Author