Imandra CLI and API client library

Imandra is a cloud-native automated reasoning engine for analysis of algorithms and data.

This package contains a python library imandra for interacting with Imandra's web APIs, to do things such as:

• Creating cloud-hosted Imandra Core instances to interact with Imandra via:
  • Jupyter Notebooks
  • the HTTP API wrapper around an Imandra Core session,imandra-http-api.
• Submitting Imandra Protocol Languge (IPL) analysis jobs

If you're interested in developing Imandra models, you may also want to see the main Imandra docs site, and consider setting up Imandra Core locally by following the installation instructions there.

The imandra python API reference documentation is available here.

The imandra package also adds an entry point called imandra-cli which exposes the imandra library functionality in a more discoverable way:

$ python3 -m venv ./my/venv
...
$ ./my/venv/pip install imandra
...
$ ./my/venv/bin/imandra-cli --help
usage: imandra [-h] auth,ipl,core,rule-synth,cfb ...

Imandra CLI

positional arguments:
  {auth,ipl,core,rule-synth,cfb}

optional arguments:
  -h, --help            show this help message and exit

On Windows, the entry point can be found as .\my\venv\Scripts\imandra-cli.exe.

This is the first step to start using Imandra via APIs. Our cloud environment requires a user account, which you may setup like this:

$ ./my/venv/bin/imandra-cli auth login

and follow the prompts to authenticate. This will create the relevant credentials in ~/.imandra (or %APPDATA%\imandra on Windows).

You should now be able to invoke CLI commands that require authentication, and construct an auth object from python code:

    import imandra.auth
    auth = imandra.auth.Auth()

This auth object can then be passed to library functions which make requests to Imandra's web APIs.

The imandra.session class provides an easy-to-use interface for requesting and managing an instance of Imandra Core within our cloud environment. It has built-in use of auth class described above.

import imandra
with imandra.session() as s:
    s.eval("let f x = if x > 0 then if x * x < 0 then x else x + 1 else x")
    verify_result = s.verify("fun x -> x > 0 ==> f x > 0")
    instance_result = s.instance("fun x -> f x = 43")
    decomposition = s.decompose("f")

print(verify_result)
print(instance_result)

for n, region in enumerate(decomposition.regions):
    print("-"*10 + " Region", n, "-"*10 + "\nConstraints")
    for c in region.constraints_pp:
        print("  ", c)
    print("Invariant:", "\n  ", region.invariant_pp) 

Please note, while this simplifies usage, it can be less resource-efficient for repeated high-volume requests, as a new Imandra instance pod is started for each block (which may take a few seconds and be subject to availability if you're using community license). For more practical applications, manual management of your instances may be preferable:

import imandra

s = imandra.session()

print(s.verify("fun x -> x > 0 ==> f x > 0"))

s.close()

We recommend using Jypyter notebooks (Python kernel) with our APIs so you can instanciate a session in one cell and repeatedly perform computation in others.

Please note: we enforce limits on the number of pods you can run simultaneously (per license level).

The package also includes imandra_http_api_client, an open-api generated API client for imandra-http-api, the HTTP wrapper for Imandra itself, which can be used for verifying Imandra models.

Although developing models is best done via a local Imandra Core installation, if you've already built a model and want to dynamically interrogate its logical constitution using Imandra, Imandra Core's HTTP API can lend a hand by giving you lightweight access to an Imandra Core instance, and returning responses in a structured, machine-readable format over HTTP.

• See the imandra_http_api_client API reference documentation for this module.

If you have a local Imandra Core installation, you can invoke imandra-http-api directly, and connect to it on localhost:

# In a terminal
$ imandra-http-api

# with imandra-http-api running locally on port 3000
import imandra_http_api_client

config = imandra_http_api_client.Configuration(
    host = 'http://localhost:3000',
)

If you do not have a local Imandra Core installation, you can create an instance of imandra-http-api on our cloud (after authenticating via the CLI command imandra auth login):

import imandra.auth
import imandra.instance
import imandra_http_api_client

auth = imandra.auth.Auth()
instance = imandra.instance.create(auth, None, "imandra-http-api")

config = imandra_http_api_client.Configuration(
    host = instance['new_pod']['url'],
    access_token =  instance['new_pod']['exchange_token'],
)

You can then use your imandra_http_api_client.Configuration object to make requests to imandra-http-api:

with imandra_http_api_client.ApiClient(config) as api_client:
    # Create an instance of the API class
    api_instance = imandra_http_api_client.DefaultApi(api_client)
    eval_req = {
        "src": "fun x -> List.rev (List.rev x) = x",
        "syntax": "iml",
        "hints": {
            "method": {
                "type": "auto"
            }
        }
    }
    req = {
        "src": "fun x -> List.rev (List.rev x) = x",
        "syntax": "iml",
        "hints": {
            "method": {
                "type": "auto"
            }
        }
    }
    print("Request: ")
    print(req)
    verify_request_src = imandra_http_api_client.VerifyRequestSrc.from_dict(req)

    try:
        # Verify a string of source code
        api_response = api_instance.verify_by_src(verify_request_src)
        print("The response of DefaultApi->verify:\n")
        print(api_response)
    except ApiException as e:
        print("Exception when calling DefaultApi->verify: %s\n" % e)

Once you're done with your instance, terminate it with:

imandra.instance.delete(auth, instance['new_pod']['id'])