ceeteem 0.0.3

Token-aware Python lient for the Control-M Automation API

ceeteem

Token‑aware Python client for the Control‑M Automation API

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ceeteem lets you talk to Control‑M Workbench or a real Control‑M server with three lines of code:

from ceeteem import ControlMSession

s = ControlMSession(
    base_url="https://workbench:8443",        # host or agent port
    creds={"username": "admin", "password": "secret"},
    ca_file="certs/controlm_root.pem",        # or verify=False in dev
)

for srv in s.get_servers():
    print(srv["name"], srv.get("runAs"))

Behind the scenes ceeteem:

• Logs in once (/session/login) and caches the bearer token.
• Refreshes automatically when the token expires or on 401.
• Re‑uses a single requests.Session so TLS handshakes are cheap.
• Lets you keep TLS on for self‑signed Workbench certs with a one‑liner.

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Installation

pip install ceeteem        # or: uv pip install ceeteem

Supported on Python 3.10 +.

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Key Features

Feature	Why it’s handy
ControlMSession	Thin wrapper around requests.Session; base‑URL aware; typed helpers for common Automation API endpoints.
BearerTokenAuth	Drop‑in AuthBase subclass that handles login, expiry, retry.
Custom CA bundle	Works with Workbench’s self‑signed root CA without disabling TLS.
Convenience helpers	get_servers(), job_status(), agents_using("admin"), … add your own easily.

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Quick‑start

from ceeteem import ControlMSession

creds = {"username": "admin", "password": "secret"}
s = ControlMSession("https://localhost:8443", creds, verify=False)

print(s.job_status("JOB123"))

Using a custom CA instead of verify=False

s = ControlMSession(
    "https://workbench:8443",
    creds,
    ca_file="certs/controlm_root.pem",
)

Generate the PEM once:

openssl s_client -showcerts -connect workbench:8443 </dev/null \
  | awk '/BEGIN/,/END/{print}' > certs/controlm_root.pem

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Roadmap

• Add async variant (aiohttp)
• Coverage for more Automation API endpoints
• Built‑in retry + backoff helpers
• CLI chat demo powered by LLM (see /examples)

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Contributing

Pull requests welcome — see CONTRIBUTING.md for a quick guide.

1. git clone & uv sync --dev
2. pytest -q
3. pre‑commit run ‑‑all‑files

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License

Licensed under the MIT License. See LICENSE for details.

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Acknowledgements

• BMC for the Control‑M Workbench container.
• The requests maintainers for rock‑solid HTTP.
• The OpenAI & Mistral teams for making language models fun to hack with.