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//! Workflow orchestration engine.
//!
//! Coordinates workflow execution by:
//! - Analyzing events to determine current state
//! - Evaluating transitions to determine next steps
//! - Publishing commands for workers
use std::collections::HashMap;
use serde::{Deserialize, Serialize};
use tracing::{debug, info, warn};
use crate::db::models::Event;
use crate::error::{AppError, AppResult};
use crate::playbook::types::{Playbook, Step};
use super::commands::{Command, CommandBuilder, IteratorMetadata};
use super::evaluator::ConditionEvaluator;
use super::state::{ExecutionState, WorkflowState};
/// Merge iterator metadata into the step-enter context so
/// `state.apply_event` can stamp `iterations_expected` (and a
/// readable iterator name) onto the resulting `StepInfo` during
/// state reconstruction. `with_params` is the existing transition
/// context (if any); the helper returns a new JSON object that
/// includes both that AND the iteration keys.
fn merge_iteration_context(
with_params: Option<serde_json::Value>,
iterations_expected: i32,
iterator_var: &str,
) -> serde_json::Value {
let mut obj = match with_params {
Some(serde_json::Value::Object(m)) => m,
_ => serde_json::Map::new(),
};
obj.insert(
"iterations_expected".to_string(),
serde_json::json!(iterations_expected),
);
obj.insert(
"iterator_var".to_string(),
serde_json::Value::String(iterator_var.to_string()),
);
serde_json::Value::Object(obj)
}
/// Result of orchestration evaluation.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct OrchestrationResult {
/// Current execution state.
pub state: ExecutionState,
/// Commands to issue.
pub commands: Vec<Command>,
/// Whether the execution should complete.
pub should_complete: bool,
/// Completion status if should_complete is true.
#[serde(skip_serializing_if = "Option::is_none")]
pub completion_status: Option<CompletionStatus>,
/// Events to emit.
pub events_to_emit: Vec<EventToEmit>,
}
/// Completion status for a workflow.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CompletionStatus {
pub status: String,
#[serde(skip_serializing_if = "Option::is_none")]
pub error: Option<String>,
#[serde(skip_serializing_if = "Option::is_none")]
pub failed_steps: Option<Vec<String>>,
}
/// Event to emit during orchestration.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct EventToEmit {
pub event_type: String,
pub node_name: Option<String>,
pub status: String,
#[serde(skip_serializing_if = "Option::is_none")]
pub context: Option<serde_json::Value>,
#[serde(skip_serializing_if = "Option::is_none")]
pub result: Option<serde_json::Value>,
#[serde(skip_serializing_if = "Option::is_none")]
pub error: Option<String>,
}
/// Workflow orchestrator.
pub struct WorkflowOrchestrator {
evaluator: ConditionEvaluator,
command_builder: CommandBuilder,
}
impl Default for WorkflowOrchestrator {
fn default() -> Self {
Self::new()
}
}
impl WorkflowOrchestrator {
/// Create a new workflow orchestrator.
pub fn new() -> Self {
Self {
evaluator: ConditionEvaluator::new(),
command_builder: CommandBuilder::new(),
}
}
/// Evaluate an execution and determine next actions.
///
/// This is the main orchestration entry point, called when:
/// - A new execution starts
/// - A worker reports a result (via event)
pub fn evaluate(
&self,
events: &[Event],
playbook: &Playbook,
trigger_event_type: Option<&str>,
) -> AppResult<OrchestrationResult> {
// Reconstruct workflow state from events
let state = WorkflowState::from_events(events)
.ok_or_else(|| AppError::Validation("No events found for execution".to_string()))?;
debug!(
"Evaluating execution {}, state: {}, trigger: {:?}",
state.execution_id, state.state, trigger_event_type
);
// Check for terminal states
if matches!(
state.state,
ExecutionState::Completed | ExecutionState::Failed | ExecutionState::Cancelled
) {
return Ok(OrchestrationResult {
state: state.state,
commands: vec![],
should_complete: false,
completion_status: None,
events_to_emit: vec![],
});
}
// Skip evaluation for progress marker events
if let Some(event_type) = trigger_event_type {
if matches!(event_type, "step_started" | "step_running") {
debug!("Skipping orchestration for progress marker event");
return Ok(OrchestrationResult {
state: state.state,
commands: vec![],
should_complete: false,
completion_status: None,
events_to_emit: vec![],
});
}
}
// Build context for evaluation (convert Value to HashMap)
let context = value_to_hashmap(&state.build_context());
// Build step lookup
let steps: HashMap<&str, &Step> = playbook
.workflow
.iter()
.map(|s| (s.step.as_str(), s))
.collect();
// Determine what to do based on state
match state.state {
ExecutionState::Initial => {
// Start first step(s) - always start with "start" step
self.dispatch_initial_steps(&state, playbook, &context)
}
ExecutionState::InProgress => {
// Check if we need to dispatch the initial step
// (playbook_started but no steps entered yet)
if state.steps.is_empty() {
return self.dispatch_initial_steps(&state, playbook, &context);
}
// Process completed steps and determine next steps
self.process_in_progress(&state, &steps, &context, trigger_event_type)
}
_ => Ok(OrchestrationResult {
state: state.state,
commands: vec![],
should_complete: false,
completion_status: None,
events_to_emit: vec![],
}),
}
}
/// Dispatch initial workflow steps.
fn dispatch_initial_steps(
&self,
state: &WorkflowState,
playbook: &Playbook,
context: &HashMap<String, serde_json::Value>,
) -> AppResult<OrchestrationResult> {
let mut commands = Vec::new();
let mut events_to_emit = Vec::new();
// Find start step (always named "start")
let start_step = playbook
.get_step("start")
.ok_or_else(|| AppError::Validation("Start step 'start' not found".to_string()))?;
info!("Dispatching initial step: {}", start_step.step);
// Create step.enter event
events_to_emit.push(EventToEmit {
event_type: "step.enter".to_string(),
node_name: Some(start_step.step.clone()),
status: "ENTERED".to_string(),
context: None,
result: None,
error: None,
});
// Build command for the step
// Note: In a real implementation, command_id would come from get_snowflake_id()
let command = self.command_builder.build_command(
0, // Placeholder - real implementation would use snowflake ID
state.execution_id,
state.catalog_id,
0, // Placeholder - would be parent event ID
start_step,
context,
None,
)?;
commands.push(command);
Ok(OrchestrationResult {
state: ExecutionState::InProgress,
commands,
should_complete: false,
completion_status: None,
events_to_emit,
})
}
/// Process an in-progress execution.
fn process_in_progress(
&self,
state: &WorkflowState,
steps: &HashMap<&str, &Step>,
context: &HashMap<String, serde_json::Value>,
trigger_event_type: Option<&str>,
) -> AppResult<OrchestrationResult> {
let mut commands = Vec::new();
let mut events_to_emit = Vec::new();
// R3c parallel-branch completion: track whether the
// transition path saw a route to `end` so we can defer the
// completion decision until after every parallel branch is
// accounted for. See `decide_completion` at the end of this
// function — completing on the first branch that hits `end`
// would falsely mark the playbook done while the other
// branches are still running.
let mut reached_end = false;
// Steps already dispatched in THIS pass. `is_step_done` /
// `running_steps` read from the events DB, so two sibling
// arcs whose `next_step` resolves to the same target would
// otherwise both queue commands in the same orchestrator
// round (neither has a persisted event yet). Track here so
// the second arc skips dispatch. Surfaced as part of the
// `end`-step-with-action fix (noetl/ai-meta#54): parallel
// branches converging on `end` would double-queue without
// this guard.
let mut dispatched_in_pass: std::collections::HashSet<String> =
std::collections::HashSet::new();
// command.failed gets its own dedicated short-circuit path
// BEFORE the transition-trigger filter — a failed step must
// not have its next.arcs evaluated, and the orchestrator
// must emit `playbook.failed` once all in-flight work is
// drained (the existing completion path waited for every
// branch to reach `end`, which a failed branch never does).
// See noetl/ai-meta#58 for the e2e finding (control_flow_workbook
// stalled at `command.failed` with no terminal event).
if matches!(trigger_event_type, Some("command.failed")) {
// Detect failed steps via the durable `state` field
// (set by apply_event when `command.failed` or
// `step_failed` lands), not via `info.error.is_some()`.
// The error-string extraction at apply_event time only
// catches top-level `result.error`; many tools emit
// their failure context under `result.context.error`,
// so step.error stays None even on real failures.
// step.state is the reliable signal.
let failed_steps: Vec<String> = state
.steps
.iter()
.filter(|(_, info)| matches!(info.state, crate::engine::state::StepState::Failed))
.map(|(name, _)| name.clone())
.collect();
// No failed step recorded yet (race between event ingest
// and apply_event) — keep waiting; the next trigger
// round will see it.
if failed_steps.is_empty() {
return Ok(OrchestrationResult {
state: ExecutionState::InProgress,
commands,
should_complete: false,
completion_status: None,
events_to_emit,
});
}
// Sibling parallel branches still running — defer the
// terminal decision so each in-flight branch gets to
// emit its own outcome event into the log. When the
// last running branch finishes, that branch's
// command.completed or command.failed will re-trigger
// us and we'll re-check this condition.
if state.has_running_steps() {
return Ok(OrchestrationResult {
state: ExecutionState::InProgress,
commands,
should_complete: false,
completion_status: None,
events_to_emit,
});
}
// All in-flight work drained, at least one step failed
// — emit the terminal playbook.failed event.
return Ok(OrchestrationResult {
state: ExecutionState::Failed,
commands: vec![],
should_complete: true,
completion_status: Some(CompletionStatus {
status: "FAILED".to_string(),
error: Some(format!("Failed steps: {}", failed_steps.join(", "))),
failed_steps: Some(failed_steps),
}),
events_to_emit,
});
}
// Only process transitions on completion events
if !matches!(
trigger_event_type,
Some("command.completed")
| Some("action_completed")
| Some("step.exit")
| Some("step_completed")
| Some("iterator_completed")
) {
return Ok(OrchestrationResult {
state: ExecutionState::InProgress,
commands,
should_complete: false,
completion_status: None,
events_to_emit,
});
}
// Find completed steps that need transition evaluation
for step_name in state.steps.keys() {
if !state.is_step_completed(step_name) {
continue;
}
// Get step definition
let step = match steps.get(step_name.as_str()) {
Some(s) => *s,
None => continue,
};
// Evaluate next transitions
let eval_results = self.evaluator.evaluate_next(step, context)?;
for result in eval_results {
if !result.matched {
continue;
}
if let Some(next_step_name) = &result.next_step {
// R3c parallel-branch completion: hitting `end`
// no longer short-circuits the per-result loop.
// We mark `reached_end` and continue so that
// sibling matched arcs in the SAME completion
// round (and other parallel branches in flight)
// are still considered. The final
// should_complete decision happens after the
// loops finish, gated on no remaining commands
// queued and no other steps still running.
if next_step_name == "end" {
debug!("Branch reached 'end'; deferring completion decision");
reached_end = true;
// If `end` is defined as a real step in the
// workflow (the canonical v10 shape — an
// aggregator that may carry its own cleanup
// tool), fall through to the normal dispatch
// path below so the end step's action runs.
// Without this, every `end:` step with a
// `tool:` block (e.g. `test_end_with_action`'s
// cleanup Python) was silently skipped — the
// orchestrator went straight to
// `playbook.completed` without executing the
// end step.
//
// Skip dispatch only when `end` is not a
// defined step (legacy "pure terminal" case);
// `reached_end_quiescent` then handles the
// completion transition.
if !steps.contains_key("end") {
continue;
}
}
// Get next step definition
let next_step = match steps.get(next_step_name.as_str()) {
Some(s) => *s,
None => {
warn!("Next step '{}' not found in workflow", next_step_name);
continue;
}
};
// Skip if already completed or running
if state.is_step_done(next_step_name) {
debug!("Step '{}' already done, skipping", next_step_name);
continue;
}
if state.running_steps().contains(&next_step_name.as_str()) {
debug!("Step '{}' already running, skipping", next_step_name);
continue;
}
// Same-pass dedup: a sibling arc may have just
// queued a command for this step in this round.
if dispatched_in_pass.contains(next_step_name) {
debug!(
"Step '{}' already dispatched in this pass, skipping",
next_step_name
);
continue;
}
// Build context for next step with additional params
let mut step_context = context.clone();
if let Some(serde_json::Value::Object(params)) = &result.with_params {
for (k, v) in params {
step_context.insert(k.clone(), v.clone());
}
}
// Iterative `step.when` enable-guard chain. When a
// step's `when` expression evaluates false we emit
// `step.skipped` instead of `step.enter`, then walk
// forward to that step's own `next` arcs and try
// again — repeats until we land on either a step
// whose guard passes (emit step.enter + command) or
// a terminal/end transition (mark completion).
//
// Doing this inline in the same orchestrator pass
// avoids the re-trigger gymnastics that would
// otherwise be needed: `step.skipped` has no
// `command.completed` to fire the next round on.
let mut current_step: &Step = next_step;
let mut current_step_name: String = next_step_name.clone();
let mut current_with_params = result.with_params.clone();
let mut current_ctx = step_context;
let mut should_dispatch = true;
let mut hit_end = false;
let mut completion: Option<CompletionStatus> = None;
loop {
let guard_ok = self
.evaluator
.evaluate_step_when(current_step, ¤t_ctx)?;
if guard_ok {
break;
}
info!(
"Step '{}' skipped (when guard false)",
current_step_name
);
events_to_emit.push(EventToEmit {
event_type: "step.skipped".to_string(),
node_name: Some(current_step_name.clone()),
status: "SKIPPED".to_string(),
context: current_with_params.clone(),
result: None,
error: None,
});
// Follow the skipped step's transitions. Pick
// the first matched arc — once we've decided
// to skip, we've already committed to the
// single-path chain.
let chained =
self.evaluator.evaluate_next(current_step, ¤t_ctx)?;
let next_after_skip = chained
.into_iter()
.find(|r| r.matched && r.next_step.is_some());
let Some(arc) = next_after_skip else {
// No further transition. Treat the skipped
// step as terminal — workflow ends here
// unless another step is still running.
should_dispatch = false;
break;
};
let target_name = arc.next_step.expect("matched arc has next_step");
if target_name == "end" {
hit_end = true;
should_dispatch = false;
completion = Some(CompletionStatus {
status: "COMPLETED".to_string(),
error: None,
failed_steps: None,
});
break;
}
let Some(target_step) = steps.get(target_name.as_str()) else {
warn!(
"Chained next step '{}' not found in workflow",
target_name
);
should_dispatch = false;
break;
};
// Merge any with_params from the chained arc
// into the context for the next iteration.
if let Some(serde_json::Value::Object(params)) = &arc.with_params {
for (k, v) in params {
current_ctx.insert(k.clone(), v.clone());
}
}
current_step = *target_step;
current_step_name = target_name;
current_with_params = arc.with_params;
}
if hit_end {
// R3c: defer completion same as the direct
// `end` arc above — sibling branches in this
// same pass (or parallel branches in flight)
// may still need to run. Note the completion
// status from the skip-chain (the caller
// may have set it from a chained arc); if so,
// remember it for the final decision.
if reached_end {
// Keep the existing reached_end flag.
} else {
reached_end = true;
}
let _ = completion;
continue;
}
if !should_dispatch {
continue;
}
// R3a skip-chain re-entry guard: after walking
// forward through one or more skipped steps, the
// chain target may itself already be Completed
// or running. Without this guard, every
// subsequent command.completed event for any
// later step in the workflow re-triggers the
// orchestrator, which re-evaluates `start`'s
// transitions, walks the skip chain again, and
// emits a fresh step.enter + command.issued for
// the chain target. Surfaced by Phase D R3a
// re-validation after noetl/ai-meta#53 unblocked
// multi-trigger paths — the chain target was
// `tail`, which got re-issued on every
// tail.command.completed.
if state.is_step_done(¤t_step_name) {
debug!(
"Skip-chain target '{}' already done, suppressing re-dispatch",
current_step_name
);
continue;
}
if state.running_steps().contains(¤t_step_name.as_str()) {
debug!(
"Skip-chain target '{}' already running, suppressing re-dispatch",
current_step_name
);
continue;
}
// R3b iterator fan-out: if the landed step
// declares `step.loop`, evaluate the loop
// expression and emit one command per item. The
// single `step.enter` event carries
// `iterations_expected` in its context so state
// reconstruction can aggregate per-iteration
// `command.completed` events into one
// step-level completion (see
// `state.rs::apply_event`). Sequential and
// parallel modes both fan out the same way at
// this layer; concurrency is shaped downstream
// by the worker pool.
if let Some(loop_cfg) = current_step.r#loop.as_ref() {
let items = self
.evaluator
.evaluate_loop(&loop_cfg.in_expr, ¤t_ctx)?;
let total: usize = items.len();
if total == 0 {
// Empty collection — emit step.enter with
// total=0 + a synthetic step.exit so
// downstream transitions still fire. No
// command dispatched.
info!(
"Iterator step '{}' produced empty collection — short-circuiting",
current_step_name
);
let enter_ctx = merge_iteration_context(
current_with_params.clone(),
0i32,
&loop_cfg.iterator,
);
events_to_emit.push(EventToEmit {
event_type: "step.enter".to_string(),
node_name: Some(current_step_name.clone()),
status: "ENTERED".to_string(),
context: Some(enter_ctx),
result: None,
error: None,
});
events_to_emit.push(EventToEmit {
event_type: "step.exit".to_string(),
node_name: Some(current_step_name.clone()),
status: "COMPLETED".to_string(),
context: None,
result: Some(serde_json::Value::Array(vec![])),
error: None,
});
continue;
}
info!(
"Fanning out {} iterations for step '{}' (iterator='{}')",
total, current_step_name, loop_cfg.iterator
);
// One `step.enter` carries the total so
// state.apply_event can stamp
// iterations_expected onto the StepInfo.
let enter_ctx = merge_iteration_context(
current_with_params.clone(),
total as i32,
&loop_cfg.iterator,
);
events_to_emit.push(EventToEmit {
event_type: "step.enter".to_string(),
node_name: Some(current_step_name.clone()),
status: "ENTERED".to_string(),
context: Some(enter_ctx),
result: None,
error: None,
});
// One command per item via
// build_iteration_command (which injects
// `<iterator>`, `_index`, `_total` into the
// command's render context).
for (idx, item) in items.into_iter().enumerate() {
let iter_meta = IteratorMetadata {
parent_execution_id: state.execution_id,
iterator_step: current_step_name.clone(),
item_var: loop_cfg.iterator.clone(),
item,
index: idx,
total,
};
let command = self.command_builder.build_iteration_command(
0,
state.execution_id,
state.catalog_id,
0,
current_step,
¤t_ctx,
iter_meta,
)?;
commands.push(command);
}
continue;
}
info!("Transitioning to step: {}", current_step_name);
// Create step.enter event for the step we landed
// on (after walking the skip chain, if any).
events_to_emit.push(EventToEmit {
event_type: "step.enter".to_string(),
node_name: Some(current_step_name.clone()),
status: "ENTERED".to_string(),
context: current_with_params,
result: None,
error: None,
});
// Build command
let command = self.command_builder.build_command(
0,
state.execution_id,
state.catalog_id,
0,
current_step,
¤t_ctx,
None,
)?;
commands.push(command);
dispatched_in_pass.insert(current_step_name.clone());
}
}
}
// R3c parallel-branch completion: complete when EITHER
// - check_completion returns true (existing semantic: every
// step's terminal arc is satisfied + no running branches);
// - OR a branch reached `end` AND we didn't queue new commands
// in this pass AND no other branches are still running.
// The second clause covers the case where multiple parallel
// branches converge on `end` — the LAST branch to arrive sees
// `reached_end == true` with everything else done and finalises
// the workflow. The early-return that used to fire on the
// FIRST branch to hit `end` would have falsely completed the
// workflow while sibling branches were still in flight.
let check_says_done = self.check_completion(state, steps)?;
let reached_end_quiescent =
reached_end && commands.is_empty() && !state.has_running_steps();
let should_complete = check_says_done || reached_end_quiescent;
let completion_status = if should_complete {
// Check for failures
let failed_steps: Vec<String> = state
.steps
.iter()
.filter(|(_, info)| info.error.is_some())
.map(|(name, _)| name.clone())
.collect();
if failed_steps.is_empty() {
Some(CompletionStatus {
status: "COMPLETED".to_string(),
error: None,
failed_steps: None,
})
} else {
Some(CompletionStatus {
status: "FAILED".to_string(),
error: Some(format!("Failed steps: {}", failed_steps.join(", "))),
failed_steps: Some(failed_steps),
})
}
} else {
None
};
Ok(OrchestrationResult {
state: ExecutionState::InProgress,
commands,
should_complete,
completion_status,
events_to_emit,
})
}
/// Check if the execution should complete.
fn check_completion(
&self,
state: &WorkflowState,
steps: &HashMap<&str, &Step>,
) -> AppResult<bool> {
// Check if there are any running steps
if state.has_running_steps() {
return Ok(false);
}
// Check if 'end' step is completed
if state.is_step_completed("end") {
return Ok(true);
}
// Check if all steps with no successors are completed
for (name, step) in steps {
if step.next.is_none() && state.is_step_completed(name) {
// Found a terminal step that's completed
return Ok(true);
}
}
Ok(false)
}
/// Handle a failed step.
pub fn handle_failure(
&self,
_state: &WorkflowState,
step_name: &str,
error: &str,
) -> AppResult<OrchestrationResult> {
info!("Handling failure for step '{}': {}", step_name, error);
let events_to_emit = vec![EventToEmit {
event_type: "step_failed".to_string(),
node_name: Some(step_name.to_string()),
status: "FAILED".to_string(),
context: None,
result: None,
error: Some(error.to_string()),
}];
Ok(OrchestrationResult {
state: ExecutionState::Failed,
commands: vec![],
should_complete: true,
completion_status: Some(CompletionStatus {
status: "FAILED".to_string(),
error: Some(error.to_string()),
failed_steps: Some(vec![step_name.to_string()]),
}),
events_to_emit,
})
}
}
/// Convert a serde_json::Value to HashMap (extracts top-level object keys).
fn value_to_hashmap(value: &serde_json::Value) -> HashMap<String, serde_json::Value> {
match value {
serde_json::Value::Object(map) => map.iter().map(|(k, v)| (k.clone(), v.clone())).collect(),
_ => HashMap::new(),
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::playbook::types::{Metadata, NextSpec, ToolDefinition, ToolKind, ToolSpec};
use chrono::Utc;
fn make_step(name: &str, next: Option<&str>) -> Step {
Step {
step: name.to_string(),
desc: None,
spec: None,
when: None,
args: None,
vars: None,
r#loop: None,
tool: ToolDefinition::Single(ToolSpec {
kind: ToolKind::Python,
eval: None,
auth: None,
libs: None,
args: None,
code: Some("return {}".to_string()),
url: None,
method: None,
query: None,
command: None,
connection: None,
params: None,
headers: None,
output_select: None,
extra: HashMap::new(),
}),
next: next.map(|n| NextSpec::Single(n.to_string())),
}
}
fn make_event(event_type: &str, node_name: Option<&str>) -> Event {
Event {
id: 1,
execution_id: 12345,
catalog_id: 67890,
event_id: 1,
parent_event_id: None,
parent_execution_id: None,
event_type: event_type.to_string(),
node_id: None,
node_name: node_name.map(|s| s.to_string()),
node_type: None,
status: "".to_string(),
context: None,
meta: None,
result: None,
worker_id: None,
attempt: None,
created_at: Utc::now(),
}
}
#[test]
fn test_evaluate_initial_state() {
let orchestrator = WorkflowOrchestrator::new();
let events = vec![{
let mut e = make_event("playbook_started", None);
e.context = Some(serde_json::json!({
"workload": {},
"path": "test",
"version": "1"
}));
e
}];
let playbook = Playbook {
api_version: "noetl.io/v2".to_string(),
kind: "Playbook".to_string(),
metadata: Metadata {
name: "test_playbook".to_string(),
path: Some("test/path".to_string()),
description: None,
labels: None,
extra: HashMap::new(),
},
workload: None,
vars: None,
keychain: None,
workbook: None,
workflow: vec![
make_step("start", Some("step2")),
make_step("step2", Some("end")),
make_step("end", None),
],
};
let result = orchestrator.evaluate(&events, &playbook, None).unwrap();
assert_eq!(result.state, ExecutionState::InProgress);
assert!(!result.commands.is_empty());
assert!(!result.events_to_emit.is_empty());
}
#[test]
fn test_evaluate_errors_on_invalid_template_in_step_body() {
// noetl/ai-meta#54 (e2e regression sweep): a step whose tool
// `code` body carries an invalid Jinja expression (`{{ ctx.* }}`)
// must make `evaluate` return `Err` — deterministically, not
// `Ok`-with-no-commands and not a panic. `handlers::events::
// trigger_orchestrator` relies on this contract to emit a
// terminal `playbook.failed` event instead of stranding the
// execution in RUNNING forever (the original symptom:
// `test_vars_template_access` hung after `set_variables`).
let orchestrator = WorkflowOrchestrator::new();
// `start` has completed; evaluate must now build the command for
// `bad_step`, which renders its invalid-template code body.
let events = vec![
{
let mut e = make_event("playbook_started", None);
e.context = Some(serde_json::json!({
"workload": {}, "path": "test", "version": "1"
}));
e
},
make_event("command.completed", Some("start")),
];
let bad_step = {
let mut s = make_step("bad_step", Some("end"));
s.tool = ToolDefinition::Single(ToolSpec {
kind: ToolKind::Python,
eval: None,
auth: None,
libs: None,
args: None,
code: Some("# uses {{ ctx.* }} templates\nresult = {}".to_string()),
url: None,
method: None,
query: None,
command: None,
connection: None,
params: None,
headers: None,
output_select: None,
extra: HashMap::new(),
});
s
};
let playbook = Playbook {
api_version: "noetl.io/v2".to_string(),
kind: "Playbook".to_string(),
metadata: Metadata {
name: "bad_template".to_string(),
path: Some("test/bad_template".to_string()),
description: None,
labels: None,
extra: HashMap::new(),
},
workload: None,
vars: None,
keychain: None,
workbook: None,
workflow: vec![
make_step("start", Some("bad_step")),
bad_step,
make_step("end", None),
],
};
let result = orchestrator.evaluate(&events, &playbook, Some("command.completed"));
assert!(
result.is_err(),
"evaluate must return Err for an invalid template in a step body, got Ok"
);
}
#[test]
fn test_handle_failure() {
let orchestrator = WorkflowOrchestrator::new();
let state = WorkflowState::new(12345, 67890);
let result = orchestrator
.handle_failure(&state, "failed_step", "Something went wrong")
.unwrap();
assert_eq!(result.state, ExecutionState::Failed);
assert!(result.should_complete);
assert!(result.completion_status.is_some());
let status = result.completion_status.unwrap();
assert_eq!(status.status, "FAILED");
assert!(status.error.is_some());
}
#[test]
fn test_command_failed_emits_terminal_playbook_failed() {
// noetl/ai-meta#58 — process_in_progress used to early-return
// on command.failed and never emit the terminal playbook.failed
// event. Execution would stall mid-flight forever. With the
// fix, a command.failed trigger drains in-flight work and
// (when nothing is still running) marks the playbook as
// FAILED with the failed_steps list populated.
let orchestrator = WorkflowOrchestrator::new();
let start = make_step("start", Some("eval_flag"));
let eval_flag = make_step("eval_flag", Some("end"));
let end = make_step("end", None);
let events = vec![
{
let mut e = make_event("playbook_started", None);
e.context = Some(serde_json::json!({
"workload": {}, "path": "test", "version": "1"
}));
e
},
make_event("command.completed", Some("start")),
make_event("step.enter", Some("eval_flag")),
{
let mut e = make_event("call.error", Some("eval_flag"));
e.result = Some(serde_json::json!({"error": "Tool not found: workbook"}));
e
},
{
let mut e = make_event("command.failed", Some("eval_flag"));
e.result = Some(serde_json::json!({"error": "Tool not found: workbook"}));
e
},
];
let playbook = Playbook {
api_version: "noetl.io/v2".to_string(),
kind: "Playbook".to_string(),
metadata: Metadata {
name: "fail_terminal".to_string(),
path: Some("test/fail_terminal".to_string()),
description: None,
labels: None,
extra: HashMap::new(),
},
workload: None,
vars: None,
keychain: None,
workbook: None,
workflow: vec![start, eval_flag, end],
};
let result = orchestrator
.evaluate(&events, &playbook, Some("command.failed"))
.unwrap();
assert!(
result.should_complete,
"command.failed must terminate the playbook when no other steps are running"
);
assert_eq!(result.state, ExecutionState::Failed);
let status = result
.completion_status
.expect("completion_status must be populated on terminal failure");
assert_eq!(status.status, "FAILED");
assert_eq!(status.failed_steps.as_ref().unwrap(), &vec!["eval_flag".to_string()]);
assert!(status
.error
.as_ref()
.unwrap()
.contains("eval_flag"));
}
#[test]
fn test_command_failed_defers_terminal_while_sibling_running() {
// Parallel-branch case: branch_a fails while branch_b is
// still in flight. The orchestrator must NOT mark the
// playbook FAILED yet — wait for branch_b to drain so the
// event log carries every branch's outcome. When branch_b
// eventually finishes (success or failure), the next trigger
// round re-checks and emits the terminal event then.
let orchestrator = WorkflowOrchestrator::new();
let start = make_step_with_parallel_next("start", &["branch_a", "branch_b"]);
let branch_a = make_step("branch_a", Some("end"));
let branch_b = make_step("branch_b", Some("end"));
let end = make_step("end", None);
let events = vec![
{
let mut e = make_event("playbook_started", None);
e.context = Some(serde_json::json!({
"workload": {}, "path": "test", "version": "1"
}));
e
},
make_event("command.completed", Some("start")),
// Both branches entered + claimed.
make_event("step.enter", Some("branch_a")),
make_event("command.issued", Some("branch_a")),
make_event("step.enter", Some("branch_b")),
make_event("command.issued", Some("branch_b")),
// branch_a fails; branch_b still running.
{
let mut e = make_event("call.error", Some("branch_a"));
e.result = Some(serde_json::json!({"error": "branch_a blew up"}));
e
},
{
let mut e = make_event("command.failed", Some("branch_a"));
e.result = Some(serde_json::json!({"error": "branch_a blew up"}));
e
},
];
let playbook = Playbook {
api_version: "noetl.io/v2".to_string(),
kind: "Playbook".to_string(),
metadata: Metadata {
name: "fail_with_sibling".to_string(),
path: Some("test/fail_with_sibling".to_string()),
description: None,
labels: None,
extra: HashMap::new(),
},
workload: None,
vars: None,
keychain: None,
workbook: None,
workflow: vec![start, branch_a, branch_b, end],
};
let result = orchestrator
.evaluate(&events, &playbook, Some("command.failed"))
.unwrap();
assert!(
!result.should_complete,
"playbook must NOT terminate while branch_b is still running"
);
// State stays InProgress for the deferred outcome.
assert_eq!(result.state, ExecutionState::InProgress);
}
#[test]
fn test_step_when_guard_skips_step() {
// Playbook: start → middle (when=false) → end
// Expectation: orchestrator emits step.skipped(middle) and
// walks the chain forward to `end`, completing the workflow
// without ever dispatching a command for `middle`.
let orchestrator = WorkflowOrchestrator::new();
let mut start = make_step("start", Some("middle"));
// start has no guard
start.when = None;
let mut middle = make_step("middle", Some("end"));
middle.when = Some("{{ false }}".to_string());
let end = make_step("end", None);
let events = vec![
{
let mut e = make_event("playbook_started", None);
e.context = Some(serde_json::json!({
"workload": {},
"path": "test",
"version": "1"
}));
e
},
make_event("command.completed", Some("start")),
];
let playbook = Playbook {
api_version: "noetl.io/v2".to_string(),
kind: "Playbook".to_string(),
metadata: Metadata {
name: "skip_test".to_string(),
path: Some("test/skip".to_string()),
description: None,
labels: None,
extra: HashMap::new(),
},
workload: None,
vars: None,
keychain: None,
workbook: None,
workflow: vec![start, middle, end],
};
let result = orchestrator
.evaluate(&events, &playbook, Some("command.completed"))
.unwrap();
// No command dispatched (skip chain reached `end` directly).
assert!(
result.commands.is_empty(),
"skip chain should not dispatch any command, got {:?}",
result.commands
);
// Should complete with status=COMPLETED.
assert!(result.should_complete);
assert_eq!(
result.completion_status.as_ref().map(|c| c.status.as_str()),
Some("COMPLETED")
);
// A step.skipped event was emitted for `middle`.
let skipped: Vec<_> = result
.events_to_emit
.iter()
.filter(|e| e.event_type == "step.skipped")
.collect();
assert_eq!(skipped.len(), 1, "expected one step.skipped event");
assert_eq!(skipped[0].node_name.as_deref(), Some("middle"));
}
#[test]
fn test_step_when_guard_passes_dispatches_step() {
// Same shape but middle's when is true — orchestrator
// should dispatch a command for `middle` and emit
// step.enter(middle) (no step.skipped).
let orchestrator = WorkflowOrchestrator::new();
let start = make_step("start", Some("middle"));
let mut middle = make_step("middle", Some("end"));
middle.when = Some("{{ true }}".to_string());
let end = make_step("end", None);
let events = vec![
{
let mut e = make_event("playbook_started", None);
e.context = Some(serde_json::json!({
"workload": {},
"path": "test",
"version": "1"
}));
e
},
make_event("command.completed", Some("start")),
];
let playbook = Playbook {
api_version: "noetl.io/v2".to_string(),
kind: "Playbook".to_string(),
metadata: Metadata {
name: "guard_test".to_string(),
path: Some("test/guard".to_string()),
description: None,
labels: None,
extra: HashMap::new(),
},
workload: None,
vars: None,
keychain: None,
workbook: None,
workflow: vec![start, middle, end],
};
let result = orchestrator
.evaluate(&events, &playbook, Some("command.completed"))
.unwrap();
assert_eq!(result.commands.len(), 1, "should dispatch middle");
let enters: Vec<_> = result
.events_to_emit
.iter()
.filter(|e| e.event_type == "step.enter")
.collect();
assert_eq!(enters.len(), 1);
assert_eq!(enters[0].node_name.as_deref(), Some("middle"));
let skipped = result
.events_to_emit
.iter()
.any(|e| e.event_type == "step.skipped");
assert!(!skipped, "should NOT emit step.skipped when guard passes");
}
#[test]
fn test_step_loop_fans_out_iterations() {
// Playbook: start → looped (loop.in=[1,2,3]) → end.
// Expectation: orchestrator emits one step.enter(looped)
// carrying iterations_expected=3 in context, and dispatches
// three commands (one per item) each with iterator metadata.
let orchestrator = WorkflowOrchestrator::new();
let start = make_step("start", Some("looped"));
let mut looped = make_step("looped", Some("end"));
looped.r#loop = Some(crate::playbook::types::Loop {
in_expr: "{{ [1, 2, 3] }}".to_string(),
iterator: "n".to_string(),
spec: None,
});
let end = make_step("end", None);
let events = vec![
{
let mut e = make_event("playbook_started", None);
e.context = Some(serde_json::json!({
"workload": {},
"path": "test",
"version": "1"
}));
e
},
make_event("command.completed", Some("start")),
];
let playbook = Playbook {
api_version: "noetl.io/v2".to_string(),
kind: "Playbook".to_string(),
metadata: Metadata {
name: "loop_test".to_string(),
path: Some("test/loop".to_string()),
description: None,
labels: None,
extra: HashMap::new(),
},
workload: None,
vars: None,
keychain: None,
workbook: None,
workflow: vec![start, looped, end],
};
let result = orchestrator
.evaluate(&events, &playbook, Some("command.completed"))
.unwrap();
// Three iteration commands.
assert_eq!(
result.commands.len(),
3,
"expected 3 iteration commands, got {}",
result.commands.len()
);
// All carry iterator metadata.
for (idx, cmd) in result.commands.iter().enumerate() {
let iter = cmd.iterator.as_ref().expect("iterator metadata present");
assert_eq!(iter.index, idx);
assert_eq!(iter.total, 3);
assert_eq!(iter.iterator_step, "looped");
assert_eq!(iter.item_var, "n");
}
// Exactly one step.enter, with iterations_expected=3.
let enters: Vec<_> = result
.events_to_emit
.iter()
.filter(|e| e.event_type == "step.enter")
.collect();
assert_eq!(enters.len(), 1);
assert_eq!(enters[0].node_name.as_deref(), Some("looped"));
let enter_ctx = enters[0].context.as_ref().unwrap();
assert_eq!(
enter_ctx.get("iterations_expected").and_then(|v| v.as_i64()),
Some(3)
);
assert_eq!(
enter_ctx.get("iterator_var").and_then(|v| v.as_str()),
Some("n")
);
}
#[test]
fn test_step_loop_empty_collection_short_circuits() {
// Loop expression evaluates to []; orchestrator should
// emit step.enter (iterations_expected=0) AND a synthetic
// step.exit so transitions downstream still fire. No
// commands dispatched.
let orchestrator = WorkflowOrchestrator::new();
let start = make_step("start", Some("looped"));
let mut looped = make_step("looped", Some("end"));
looped.r#loop = Some(crate::playbook::types::Loop {
in_expr: "{{ [] }}".to_string(),
iterator: "x".to_string(),
spec: None,
});
let end = make_step("end", None);
let events = vec![
{
let mut e = make_event("playbook_started", None);
e.context = Some(serde_json::json!({
"workload": {},
"path": "test",
"version": "1"
}));
e
},
make_event("command.completed", Some("start")),
];
let playbook = Playbook {
api_version: "noetl.io/v2".to_string(),
kind: "Playbook".to_string(),
metadata: Metadata {
name: "loop_empty".to_string(),
path: Some("test/loop_empty".to_string()),
description: None,
labels: None,
extra: HashMap::new(),
},
workload: None,
vars: None,
keychain: None,
workbook: None,
workflow: vec![start, looped, end],
};
let result = orchestrator
.evaluate(&events, &playbook, Some("command.completed"))
.unwrap();
assert!(
result.commands.is_empty(),
"empty collection should dispatch no commands"
);
let types: Vec<&str> = result
.events_to_emit
.iter()
.map(|e| e.event_type.as_str())
.collect();
assert!(types.contains(&"step.enter"));
assert!(types.contains(&"step.exit"));
}
/// Helper: build a step with a Router-style `next` that has
/// multiple unconditional arcs (parallel fan-out) in inclusive
/// mode.
fn make_step_with_parallel_next(name: &str, targets: &[&str]) -> Step {
use crate::playbook::types::{NextArc, NextRouter, NextRouterSpec};
let mut step = make_step(name, None);
step.next = Some(NextSpec::Router(NextRouter {
spec: Some(NextRouterSpec {
mode: Some("inclusive".to_string()),
}),
arcs: targets
.iter()
.map(|t| NextArc {
step: t.to_string(),
when: None,
args: None,
})
.collect(),
}));
step
}
#[test]
fn test_parallel_branches_dispatch_both_in_one_pass() {
// start → [branch_a, branch_b] (mode: inclusive)
// After start completes, orchestrator should emit 2 commands
// (one per branch) and 2 step.enter events; no step.skipped.
let orchestrator = WorkflowOrchestrator::new();
let start = make_step_with_parallel_next("start", &["branch_a", "branch_b"]);
let branch_a = make_step("branch_a", Some("end"));
let branch_b = make_step("branch_b", Some("end"));
let end = make_step("end", None);
let events = vec![
{
let mut e = make_event("playbook_started", None);
e.context = Some(serde_json::json!({
"workload": {},
"path": "test",
"version": "1"
}));
e
},
make_event("command.completed", Some("start")),
];
let playbook = Playbook {
api_version: "noetl.io/v2".to_string(),
kind: "Playbook".to_string(),
metadata: Metadata {
name: "parallel_test".to_string(),
path: Some("test/parallel".to_string()),
description: None,
labels: None,
extra: HashMap::new(),
},
workload: None,
vars: None,
keychain: None,
workbook: None,
workflow: vec![start, branch_a, branch_b, end],
};
let result = orchestrator
.evaluate(&events, &playbook, Some("command.completed"))
.unwrap();
// Both parallel branches must dispatch in the same pass.
assert_eq!(
result.commands.len(),
2,
"expected 2 parallel commands, got {}",
result.commands.len()
);
let dispatched: Vec<String> =
result.commands.iter().map(|c| c.step_name.clone()).collect();
assert!(dispatched.contains(&"branch_a".to_string()));
assert!(dispatched.contains(&"branch_b".to_string()));
// One step.enter event per branch.
let enters: Vec<&str> = result
.events_to_emit
.iter()
.filter(|e| e.event_type == "step.enter")
.filter_map(|e| e.node_name.as_deref())
.collect();
assert_eq!(enters.len(), 2);
assert!(enters.contains(&"branch_a"));
assert!(enters.contains(&"branch_b"));
// Workflow is NOT yet complete — both branches still need to
// run before `end` can finalise.
assert!(!result.should_complete);
}
#[test]
fn test_parallel_one_branch_done_defers_completion() {
// start → [branch_a, branch_b]; branch_a is completed but
// branch_b is still entered (running). Orchestrator's
// evaluate should NOT mark the workflow done just because
// branch_a transitioned to `end`.
let orchestrator = WorkflowOrchestrator::new();
let start = make_step_with_parallel_next("start", &["branch_a", "branch_b"]);
let branch_a = make_step("branch_a", Some("end"));
let branch_b = make_step("branch_b", Some("end"));
let end = make_step("end", None);
let events = vec![
{
let mut e = make_event("playbook_started", None);
e.context = Some(serde_json::json!({
"workload": {}, "path": "test", "version": "1"
}));
e
},
make_event("command.completed", Some("start")),
// branch_b is "entered" but not yet completed (state
// transitions: Entered → CommandIssued via subsequent
// events that we don't include here).
make_event("step.enter", Some("branch_b")),
make_event("command.issued", Some("branch_b")),
// branch_a completed.
make_event("step.enter", Some("branch_a")),
make_event("command.completed", Some("branch_a")),
];
let playbook = Playbook {
api_version: "noetl.io/v2".to_string(),
kind: "Playbook".to_string(),
metadata: Metadata {
name: "parallel_defer".to_string(),
path: Some("test/parallel_defer".to_string()),
description: None,
labels: None,
extra: HashMap::new(),
},
workload: None,
vars: None,
keychain: None,
workbook: None,
workflow: vec![start, branch_a, branch_b, end],
};
let result = orchestrator
.evaluate(&events, &playbook, Some("command.completed"))
.unwrap();
// branch_a hit `end` but branch_b still pending — workflow
// should NOT be marked complete.
assert!(
!result.should_complete,
"workflow must not complete while branch_b is still running"
);
}
#[test]
fn test_parallel_all_branches_done_dispatches_end_once() {
// Both branches completed and both routed to `end`. With
// the noetl/ai-meta#54 fix, `end` is now a real dispatchable
// step (not a pure terminal sentinel) — the orchestrator
// queues a single command for it, and same-pass dedup
// prevents the second branch's arc from double-dispatching.
// Completion happens later, on `end`'s own command.completed.
let orchestrator = WorkflowOrchestrator::new();
let start = make_step_with_parallel_next("start", &["branch_a", "branch_b"]);
let branch_a = make_step("branch_a", Some("end"));
let branch_b = make_step("branch_b", Some("end"));
let end = make_step("end", None);
let events = vec![
{
let mut e = make_event("playbook_started", None);
e.context = Some(serde_json::json!({
"workload": {}, "path": "test", "version": "1"
}));
e
},
make_event("command.completed", Some("start")),
make_event("step.enter", Some("branch_a")),
make_event("command.completed", Some("branch_a")),
make_event("step.enter", Some("branch_b")),
make_event("command.completed", Some("branch_b")),
];
let playbook = Playbook {
api_version: "noetl.io/v2".to_string(),
kind: "Playbook".to_string(),
metadata: Metadata {
name: "parallel_done".to_string(),
path: Some("test/parallel_done".to_string()),
description: None,
labels: None,
extra: HashMap::new(),
},
workload: None,
vars: None,
keychain: None,
workbook: None,
workflow: vec![start, branch_a, branch_b, end],
};
let result = orchestrator
.evaluate(&events, &playbook, Some("command.completed"))
.unwrap();
assert_eq!(
result.commands.len(),
1,
"end step must be dispatched exactly once, not duplicated by sibling arcs"
);
assert!(
!result.should_complete,
"should not complete until end's own command.completed lands"
);
}
#[test]
fn test_parallel_all_branches_plus_end_completed_finalises() {
// Follow-on round: once `end`'s own command.completed is in
// the event log, check_completion fires and the workflow
// terminates with status COMPLETED.
let orchestrator = WorkflowOrchestrator::new();
let start = make_step_with_parallel_next("start", &["branch_a", "branch_b"]);
let branch_a = make_step("branch_a", Some("end"));
let branch_b = make_step("branch_b", Some("end"));
let end = make_step("end", None);
let events = vec![
{
let mut e = make_event("playbook_started", None);
e.context = Some(serde_json::json!({
"workload": {}, "path": "test", "version": "1"
}));
e
},
make_event("command.completed", Some("start")),
make_event("step.enter", Some("branch_a")),
make_event("command.completed", Some("branch_a")),
make_event("step.enter", Some("branch_b")),
make_event("command.completed", Some("branch_b")),
make_event("step.enter", Some("end")),
make_event("command.completed", Some("end")),
];
let playbook = Playbook {
api_version: "noetl.io/v2".to_string(),
kind: "Playbook".to_string(),
metadata: Metadata {
name: "parallel_done_end".to_string(),
path: Some("test/parallel_done_end".to_string()),
description: None,
labels: None,
extra: HashMap::new(),
},
workload: None,
vars: None,
keychain: None,
workbook: None,
workflow: vec![start, branch_a, branch_b, end],
};
let result = orchestrator
.evaluate(&events, &playbook, Some("command.completed"))
.unwrap();
assert!(
result.should_complete,
"all branches done + end's own command.completed ⇒ COMPLETED"
);
assert_eq!(
result.completion_status.as_ref().map(|c| c.status.as_str()),
Some("COMPLETED")
);
}
#[test]
fn test_orchestration_result_serialization() {
let result = OrchestrationResult {
state: ExecutionState::InProgress,
commands: vec![],
should_complete: false,
completion_status: None,
events_to_emit: vec![],
};
let json = serde_json::to_string(&result).unwrap();
assert!(json.contains("in_progress"));
}
}