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Ansible Integration

Roundtable can browse, trigger, and stream output from Ansible playbooks directly from the web UI. Runs execute as asyncio tasks inside the same process — no Celery, no external workers.


Playbook Sources

Sources are configured at /settings/ under Ansible. Two source types are supported:

Local Filesystem

Points to a directory on the host that already contains playbooks.

# In app_settings (configured via UI)
ansible.sources:
  - name: "homelab"
    type: local
    path: "/opt/playbooks"

Git Repository

The app clones or pulls the repo into a local cache directory on a configurable schedule. All execution uses the local cache.

ansible.sources:
  - name: "infra-repo"
    type: git
    url: "https://github.com/example/infra.git"
    branch: "main"
    pull_interval_seconds: 300
    cache_path: "/data/playbook_cache/infra-repo"

Git sources register a ScheduledTask named ansible_git_pull_<name> that runs git pull on the configured interval.


Inventory Discovery

The app discovers inventory files within the root of the playbook source directory (non-recursive). It looks for files named:

  • hosts
  • inventory
  • inventory.yml
  • inventory.ini

A manual relative path can also be entered in the UI (e.g. inventories/production/hosts) for inventories in subdirectories.


Triggering a Run

From the UI at /ansible/, you can:

  1. Browse available playbooks across all sources
  2. View playbook contents before running
  3. Select an inventory file
  4. Trigger a run (requires operator or viewer role — execution is restricted to operator/admin)

The run flow:

  1. UI submits POST /ansible/runs with playbook_path, source_name, and inventory_path
  2. An AnsibleRun row is created with status = running
  3. Playbook execution starts as asyncio.create_task()
  4. The response returns the run_id and an HTMX partial that wires the SSE subscription
  5. The browser connects to GET /ansible/runs/<run_id>/stream to receive live output

SSE Streaming

Run output is streamed to the browser via Server-Sent Events (SSE) at:

GET /ansible/runs/<run_id>/stream

Each output line is sent as:

event: output
data: <line of stdout/stderr>

Run completion:

event: done
data: success|failed|interrupted

Output is flushed to the ansible_runs.output DB column every 50 lines or every 5 seconds (whichever comes first) and always on completion. This means partial output survives a process crash.

If a client connects after the run has already completed, the endpoint immediately sends event: done with the final status and closes the stream. To view stored output, use the run history view at GET /ansible/runs/<run_id>.


Run Lifecycle

Status Description
running Execution in progress
success Playbook exited 0
failed Playbook exited non-zero
interrupted App restarted while run was in progress

On startup, the app marks any runs still in running state as interrupted (see _mark_interrupted_runs() in app.py).

Output stored in the DB is capped at 1 MB. If truncated, [output truncated] is appended to the DB column, but the live SSE stream continues unaffected.


Data Model

ansible_runs table (defined in roundtable/models/ansible.py):

Column Type Description
id UUID Primary key
playbook_path str Relative path to playbook
inventory_path str Inventory path used
source_name str Name of the playbook source
triggered_by FK → users
status enum running, success, failed, interrupted
started_at timestamp UTC
finished_at timestamp UTC Null if still running
output text Captured stdout/stderr (capped at 1 MB)

Runs older than data.retention_days (default 90) are pruned by the data_cleanup scheduled task.


Source Files

File Purpose
roundtable/ansible/sources.py Source discovery, git pull logic
roundtable/ansible/executor.py Subprocess execution and output streaming
roundtable/ansible/routes.py HTTP routes (browse, trigger, stream, history)
roundtable/models/ansible.py AnsibleRun model