/serp-python

Python API client for SERP on-premise API

Primary LanguagePythonMIT LicenseMIT

Python API client for SERP API


For your convenience, you can make API calls using sync or async (asyncio) interface.

Installation

pip install serp

Note that it is always recommended pinning version of your installed packages.

Usage example (sync)

An example of how to create an origin:

from serp import Client


if __name__ == '__main__':
    # api_token is just str with your API token
    api_token = "abcd012345"
    # Now create instance of Client. There should be only one per process.
    client = Client(base_url="http://localhost:8080", api_token=api_token)
    # Issue API request to create an origin
    client.origins.create(name="test_name")

Now that we have our origin created, we can create profile inside that origin:

from serp import Client


def create_profiles_example(client: Client):
    origin_id = 1  # you can inspect response from `client.origins.create`
    with open("image.png", "rb") as f:
        response = client.profiles.create(
            image=f,
            origin_id=origin_id
        )
    print("Profiles Create Response:\n", response.json(), flush=True)


if __name__ == '__main__':
    # api_token is just str with your API token
    api_token = "abcd012345"
    # Now create instance of Client. There should be only one per process.
    client = Client(base_url="http://localhost:8080", api_token=api_token)
    # Issue API request to create a profile
    create_profiles_example(client)

Now that we have our origin & profile created, we can search for profile:

from serp import Client


def search_profiles_example(client: Client):
    with open("image.png", "rb") as f:
        response = client.profiles.search(
            image=f,
            identify_asm=True
        )
    print("Profiles Search Response:\n", response.json(), flush=True)


if __name__ == '__main__':
    # api_token is just str with your API token
    api_token = "abcd012345"
    # Now create instance of Client. There should be only one per process.
    client = Client(base_url="http://localhost:8080", api_token=api_token)
    # Issue API request to search profiles
    search_profiles_example(client)

For more examples and usage, please refer to the docs.

Development setup

To install all the development requirements:

pip install --upgrade pip
pip install poetry
poetry install --no-root

To run linters & test suite:

./scripts/test.sh

How to release

  1. Update version in:
    • CHANGELOG.md
    • __init__.py
    • pyproject.toml
  2. Lock deps to update version in poetry: poetry lock
  3. Get API Token from account settings in PyPI
  4. poetry config pypi-token.pypi YOUR_API_TOKEN
  5. poetry build
  6. poetry publish

Release History

  • 0.1.4
    • Changed name to SERP
    • Minor fixes
  • 0.1.1
    • Fixed types of custom Enum classes and in corresponding methods
  • 0.1.0
    • Initial version of package

License

Distributed under the MIT license. See LICENSE for more information.

Contributing

  1. Create your feature branch (git checkout -b feature/fooBar)
  2. Commit your changes (git commit -am 'Add some fooBar')
  3. Push to the branch (git push origin feature/fooBar)
  4. Create a new Pull Request