StateChart 3.2.0¶
June 16, 2026
Highlights in 3.2.0¶
Load statecharts from documents. A single, secure
statemachine.io.load()reads SCXML, JSON and YAML into a runningStateChart. From an inline definition:from statemachine.io import load Light = load( """ states: green: {initial: true, on: {next: [{target: red}]}} red: {on: {next: [{target: green}]}} """, format="yaml", ) sm = Light() sm.send("next")
Or from a file, with the format detected from the extension:
Machine = load("traffic_light.scxml")
Safe by default. Expressions in loaded documents are evaluated by a restricted allowlist, never
eval— this also closes a code-execution vulnerability in the old SCXML loader (CVE-2026-47103); see Security below.Python 3.10+ now required. Support for the end-of-life Python 3.9 was dropped.
Security in 3.2.0: arbitrary code execution when loading SCXML (CVE-2026-47103)¶
In short: before 3.2.0, loading an SCXML document with SCXMLProcessor evaluated the
expressions inside it with Python’s eval/exec, so a .scxml file from an untrusted
source could run arbitrary code on your machine. 3.2.0 makes loading safe by default:
expressions are evaluated by a restricted allowlist and <script> is rejected.
Note
Am I affected?
Yes — only if you loaded
.scxmldocuments you did not author, throughSCXMLProcessor(e.g.SCXMLProcessor().parse_scxml(...)orparse_scxml_file(...)) on input you don’t control. That class was the only SCXML loader in the affected releases (io.load()did not exist yet).No — if you define your machines in Python (
StateMachine/StateChart), or only load.scxmlfiles you wrote yourself. Defining a machine in code never evaluates a document; there is no document to evaluate.
Affected versions: only the 3.x line before 3.2 — >= 3.0.0, < 3.2.0. SCXML file
loading was added in 3.0.0 (experimental and undocumented); 2.x and earlier have no SCXML
loader and are not affected. Fixed in 3.2.0.
What changed. Guards and datamodel expressions (cond, <assign>, <send>,
<foreach>, <log>, …) are now compiled by a restricted AST allowlist — arithmetic,
comparisons, collections, indexing, attribute reads and the In(...) predicate, but no
builtins, dunder access, or function/method calls. <script> is rejected. This mirrors
yaml.safe_load vs yaml.load.
Trusting a document. For SCXML you author yourself (hand-written documents or the W3C
conformance suite), opt back into full Python with trusted=True:
from statemachine.io.scxml.processor import SCXMLProcessor
SCXMLProcessor() # safe default: restricted evaluator, <script> rejected
SCXMLProcessor(trusted=True) # full eval/exec — only for documents you trust
A restricted-mode document that uses an unsupported construct fails to load with
InvalidDefinition; runtime evaluation errors still surface as error.execution events.
Refs: GHSA-v4jc-pm6r-3vj8, CVE-2026-47103, CWE-95.
What’s new in 3.2.0¶
First-class statechart IO: load from SCXML, JSON and YAML¶
Statecharts can now be loaded from declarative documents through a single, secure
facade, statemachine.io.load():
from statemachine.io import load
Machine = load("traffic_light.yaml") # format detected from the extension
sm = Machine()
Three formats behind one API: SCXML (
.scxml/.xml), JSON (.json) and YAML (.yaml/.yml). The format is detected from the file extension or set explicitly withformat=.Secure by default. Guards and datamodel expressions are evaluated by a restricted AST-allowlist evaluator;
<script>/ arbitrary Python is rejected unless you passtrusted=True. YAML is always parsed with safe-load semantics.Functional parity across formats. The native floor is the SCXML ceiling: everything SCXML expresses is expressible in JSON/YAML and behaves the same.
cond/unlessare real expressions (count >= 3, boolean algebra,In(state)); there is a structured action vocabulary (assign/raise/log/if/foreach/send/cancel); the system variables (_event/_sessionid/_name/_ioprocessors) are available in every format; andinvokeworks natively (invoke: [{src|content, id, params, namelist, finalize}]). All of this works undertrusted=False.Publishable, validatable schema. The native JSON/YAML format has a published JSON Schema (Draft 2020-12); pass
validate=True(with the[validation]extra) to validate on load.Low-level access via
statemachine.io.build_processor()for documents that declare or invoke several machines.
See IO and formats for the full guide.
Architecture: a format-neutral runtime¶
The IO stack is a ports-and-adapters design. SCXML defines the execution model and
behavior; the XML syntax is just one format. So the runtime is the format-neutral
Interpreter (statemachine.io.interpreter), parameterized by a reader (the format
port) and an evaluator (secure by default), composing a DefinitionBuilder
(statemachine.io.builder) that compiles the neutral IR (statemachine.io.model) into a
StateChart class. The class registry (for invoke), sessions and the system variables live
in this neutral runtime. SCXMLProcessor is now a thin Interpreter preconfigured with
the SCXML reader; its parse_scxml API is preserved (use io.load for files).
New optional dependencies¶
python-statemachine[yaml] # PyYAML, for the YAML format
python-statemachine[validation] # jsonschema, for validate=True
python-statemachine[io] # both of the above
Backward incompatible changes in 3.2.0¶
Warning
Python 3.9 support dropped. StateMachine 3.2.0 requires Python 3.10 or
later. If you cannot upgrade Python yet, pin to python-statemachine<3.2
(the 3.1.x series remains the last line supporting 3.9).
Python 3.9 support dropped¶
Python 3.9 reached end-of-life on 2025-10-31 and is no longer supported by the Python core team. StateMachine 3.2 now requires Python 3.10+.
Rationale:
Python 3.9 represented around 1.4% of PyPI downloads of
python-statemachinein the 180 days prior to this release; Python 3.10+ accounts for the vast majority of attributable traffic.Dropping 3.9 lets the codebase adopt
match/case(PEP 634), PEP 604 union syntax (X | Y), PEP 585 built-in generics (list[int]instead ofList[int]), andzip(strict=True)(PEP 618) internally.The same minimum has already been adopted by the major libraries in the ecosystem (pandas, FastAPI, SQLAlchemy, NumPy, Django 5).
Migration¶
Upgrade your interpreter to Python 3.10 or later, or
Pin
python-statemachine<3.2to stay on the 3.1.x line.
No public API was changed by this drop. Code that runs on 3.10+ today will continue to run unchanged on 3.2.
statemachine.io.scxml internals reorganized¶
The experimental statemachine.io.scxml internals were promoted into a format-neutral
IO core (see What’s new above). Code that imported implementation modules directly must
update its imports:
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generic helpers in |
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statemachine.io.scxml.processor.SCXMLProcessor (now a thin wrapper over the new
format-neutral runtime, minus the removed parse_scxml_file; use io.load for files) and
statemachine.io.create_machine_class_from_definition keep their behavior. The runtime
itself moved into the new, SCXML-agnostic statemachine.io.interpreter.Interpreter and
statemachine.io.builder (see Architecture above).
Bug fixes in 3.2.0¶
Sibling compound states with same-named children no longer collide¶
A StateChart with sibling compound states whose children reuse the same local
id (e.g. each region declares an a and a b) but carry distinct value=
identifiers would collapse in the internal instance-state map, which was keyed by
state.id. The duplicate ids overwrote each other, so dispatching an event
resolved to the wrong State instance and raised TransitionNotAllowed.
Instance states are now keyed by state.value (globally unique, the canonical
identifier already used by states_map), fixing dispatch for nested and parallel
configurations that repeat child names.
Async invoke no longer cancels itself on its own done.invoke¶
When an async invoke completed and its done.invoke event triggered a
transition out of the owning state, the cancel-on-exit path could cancel the
invocation’s own task while it was still running. The CancelledError surfaced at
the next await, so the target state’s on_enter callback never finished.
The engine now skips self-cancellation when the invocation’s task is the currently running task, letting the originating handler complete normally.
#627.
validators in a dict/JSON transition definition are no longer dropped¶
create_machine_class_from_definition (the dict/JSON adapter behind
statemachine.io.load()) threaded cond, unless, on, before and
after from each transition definition into the Transition, but not
validators. A validators entry was silently ignored, so it never ran at
send(), leaving dict/JSON-defined machines without the explicit-rejection
channel (raise to abort with a reason) that validators provides. The
TransitionDict type also mistyped validators as bool.
validators is now materialized onto the Transition like the other callback
specs, and the type was corrected to the same callback-spec union as
cond/unless.