fabro/lib/crates/fabro-cli/tests/it/cmd/attach.rs
2026-04-02 06:43:58 -07:00

557 lines
16 KiB
Rust

use std::time::Duration;
use fabro_test::{fabro_snapshot, run_and_format, test_context};
use serde_json::Value;
use crate::support::{example_fixture, fabro_json_snapshot, run_output_filters};
use super::support::{output_stdout, resolve_run, wait_for_status, write_gated_workflow};
#[test]
fn help() {
let context = test_context!();
let mut cmd = context.command();
cmd.args(["attach", "--help"]);
fabro_snapshot!(context.filters(), cmd, @"
success: true
exit_code: 0
----- stdout -----
Attach to a running or finished workflow run
Usage: fabro attach [OPTIONS] <RUN>
Arguments:
<RUN> Run ID prefix or workflow name
Options:
--json Output as JSON [env: FABRO_JSON=]
--debug Enable DEBUG-level logging (default is INFO) [env: FABRO_DEBUG=]
--no-upgrade-check Disable automatic upgrade check [env: FABRO_NO_UPGRADE_CHECK=true]
--quiet Suppress non-essential output [env: FABRO_QUIET=]
--verbose Enable verbose output [env: FABRO_VERBOSE=]
--storage-dir <STORAGE_DIR> Storage directory (default: ~/.fabro) [env: FABRO_STORAGE_DIR=[STORAGE_DIR]]
-h, --help Print help
----- stderr -----
");
}
#[test]
fn attach_requires_run_arg() {
let context = test_context!();
let mut cmd = context.command();
cmd.arg("attach");
fabro_snapshot!(context.filters(), cmd, @"
success: false
exit_code: 2
----- stdout -----
----- stderr -----
error: the following required arguments were not provided:
<RUN>
Usage: fabro attach --no-upgrade-check --storage-dir <STORAGE_DIR> <RUN>
For more information, try '--help'.
");
}
#[test]
fn attach_replays_completed_detached_run() {
let context = test_context!();
let run_id = "01ARZ3NDEKTSV4RRFFQ69G5FAQ";
context
.command()
.args([
"run",
"--dry-run",
"--auto-approve",
"--no-retro",
"--detach",
"--run-id",
run_id,
example_fixture("simple.fabro").to_str().unwrap(),
])
.assert()
.success();
context
.command()
.args(["wait", run_id])
.timeout(std::time::Duration::from_secs(10))
.assert()
.success();
let mut cmd = context.command();
cmd.args(["attach", run_id]);
cmd.timeout(std::time::Duration::from_secs(10));
fabro_snapshot!(run_output_filters(&context), cmd, @"
success: true
exit_code: 0
----- stdout -----
----- stderr -----
Sandbox: local (ready in [TIME])
✓ Start [TIME]
✓ Run Tests [TIME]
✓ Report [TIME]
✓ Exit [TIME]
");
}
#[test]
fn attach_replays_from_store_without_run_json_or_progress_jsonl() {
let context = test_context!();
let run_id = "01ARZ3NDEKTSV4RRFFQ69G5FAQ";
context
.command()
.args([
"run",
"--dry-run",
"--auto-approve",
"--no-retro",
"--detach",
"--run-id",
run_id,
example_fixture("simple.fabro").to_str().unwrap(),
])
.assert()
.success();
context
.command()
.args(["wait", run_id])
.timeout(std::time::Duration::from_secs(10))
.assert()
.success();
let run = resolve_run(&context, run_id);
let _ = std::fs::remove_file(run.run_dir.join("run.json"));
let _ = std::fs::remove_file(run.run_dir.join("progress.jsonl"));
let mut cmd = context.command();
cmd.args(["attach", run_id]);
cmd.timeout(std::time::Duration::from_secs(10));
fabro_snapshot!(run_output_filters(&context), cmd, @"
success: true
exit_code: 0
----- stdout -----
----- stderr -----
Sandbox: local (ready in [TIME])
✓ Start [TIME]
✓ Run Tests [TIME]
✓ Report [TIME]
✓ Exit [TIME]
");
}
#[test]
fn attach_before_completion_streams_to_finished_state() {
let context = test_context!();
let gate = write_gated_workflow(&context.temp_dir.join("slow.fabro"), "slow", "Run slowly");
let mut run_cmd = context.command();
run_cmd.env("OPENAI_API_KEY", "test");
run_cmd.args([
"run",
"--detach",
"--provider",
"openai",
"--sandbox",
"local",
"--no-retro",
"slow.fabro",
]);
let run_output = run_cmd.output().expect("command should execute");
assert!(
run_output.status.success(),
"run --detach failed:\nstdout:\n{}\nstderr:\n{}",
String::from_utf8_lossy(&run_output.stdout),
String::from_utf8_lossy(&run_output.stderr)
);
let run_id = output_stdout(&run_output).trim().to_string();
let run = resolve_run(&context, &run_id);
wait_for_status(&run.run_dir, &["running"]);
let mut filters = context.filters();
filters.push((
r"\b\d+(\.\d+)?(ms|s)\b".to_string(),
"[DURATION]".to_string(),
));
let release_gate = std::thread::spawn(move || {
std::thread::sleep(Duration::from_secs(1));
gate.release();
});
let mut attach_cmd = context.command();
attach_cmd.args(["attach", &run_id]);
let (snapshot, _output) = run_and_format(&mut attach_cmd, &filters);
release_gate.join().expect("gate releaser should join");
wait_for_status(&run.run_dir, &["succeeded"]);
insta::assert_snapshot!(snapshot, @"
success: true
exit_code: 0
----- stdout -----
----- stderr -----
Sandbox: local (ready in [TIME])
✓ start [DURATION]
✓ wait [DURATION]
✓ exit [DURATION]
");
}
#[test]
fn attach_json_errors_without_prompting_for_human_input() {
let context = test_context!();
let workflow = context.temp_dir.join("human-gate.fabro");
context.write_temp(
"human-gate.fabro",
r#"digraph HumanGate {
graph [goal="Wait for approval"]
start [shape=Mdiamond, label="Start"]
exit [shape=Msquare, label="Exit"]
approve [shape=hexagon, label="Approve?"]
ship [shape=parallelogram, script="echo shipped"]
revise [shape=parallelogram, script="echo revised"]
start -> approve
approve -> ship [label="[A] Approve"]
approve -> revise [label="[R] Revise"]
ship -> exit
revise -> exit
}
"#,
);
let run_output = context
.command()
.env("OPENAI_API_KEY", "test")
.args([
"run",
"--detach",
"--no-retro",
"--sandbox",
"local",
"--provider",
"openai",
workflow.to_str().unwrap(),
])
.output()
.expect("detached run should execute");
assert!(
run_output.status.success(),
"detached run failed:\nstdout:\n{}\nstderr:\n{}",
String::from_utf8_lossy(&run_output.stdout),
String::from_utf8_lossy(&run_output.stderr)
);
let run_id = output_stdout(&run_output).trim().to_string();
let cleanup_run_id = run_id.clone();
scopeguard::defer! {
let _ = context.command().args(["rm", "--force", &cleanup_run_id]).output();
}
let run_dir = context.find_run_dir(&run_id);
let request_path = run_dir.join("runtime/interview_request.json");
let deadline = std::time::Instant::now() + std::time::Duration::from_secs(10);
while !request_path.exists() {
assert!(
std::time::Instant::now() < deadline,
"timed out waiting for interview request for {run_id}"
);
std::thread::sleep(std::time::Duration::from_millis(50));
}
let output = context
.command()
.args(["--json", "attach", &run_id])
.timeout(std::time::Duration::from_secs(5))
.output()
.expect("attach should execute");
assert!(!output.status.success(), "attach --json should fail fast");
let stderr = String::from_utf8(output.stderr).expect("stderr should be UTF-8");
assert!(stderr.contains("--json is non-interactive"));
assert!(
!stderr.contains("Approve?"),
"attach should not prompt on stderr"
);
assert!(
request_path.exists(),
"the run should still be waiting on the interview request"
);
assert!(
!run_dir.join("runtime/interview_response.json").exists(),
"attach --json should not answer the interview"
);
let progress: Vec<Value> = String::from_utf8(output.stdout)
.expect("stdout should be UTF-8")
.lines()
.filter(|line| !line.trim().is_empty())
.map(|line| serde_json::from_str(line).expect("attach JSON output should be JSONL"))
.collect();
fabro_json_snapshot!(context, &progress, @r#"
[
{
"event": "run.created",
"id": "[EVENT_ID]",
"properties": {
"graph": {
"attrs": {
"goal": {
"String": "Wait for approval"
}
},
"edges": [
{
"attrs": {},
"from": "start",
"to": "approve"
},
{
"attrs": {
"label": {
"String": "[A] Approve"
}
},
"from": "approve",
"to": "ship"
},
{
"attrs": {
"label": {
"String": "[R] Revise"
}
},
"from": "approve",
"to": "revise"
},
{
"attrs": {},
"from": "ship",
"to": "exit"
},
{
"attrs": {},
"from": "revise",
"to": "exit"
}
],
"name": "HumanGate",
"nodes": {
"approve": {
"attrs": {
"label": {
"String": "Approve?"
},
"shape": {
"String": "hexagon"
}
},
"id": "approve"
},
"exit": {
"attrs": {
"label": {
"String": "Exit"
},
"shape": {
"String": "Msquare"
}
},
"id": "exit"
},
"revise": {
"attrs": {
"script": {
"String": "echo revised"
},
"shape": {
"String": "parallelogram"
}
},
"id": "revise"
},
"ship": {
"attrs": {
"script": {
"String": "echo shipped"
},
"shape": {
"String": "parallelogram"
}
},
"id": "ship"
},
"start": {
"attrs": {
"label": {
"String": "Start"
},
"shape": {
"String": "Mdiamond"
}
},
"id": "start"
}
}
},
"host_repo_path": "[TEMP_DIR]",
"labels": {},
"run_dir": "[RUN_DIR]",
"settings": {
"goal": "Wait for approval",
"llm": {
"fallbacks": null,
"model": "gpt-5.4",
"provider": "openai"
},
"mode": "standalone",
"no_retro": true,
"sandbox": {
"daytona": null,
"devcontainer": null,
"env": null,
"local": null,
"preserve": null,
"provider": "local"
},
"storage_dir": "[STORAGE_DIR]"
},
"workflow_slug": "human-gate",
"workflow_source": "digraph HumanGate {/n graph [goal=\"Wait for approval\"]/n start [shape=Mdiamond, label=\"Start\"]/n exit [shape=Msquare, label=\"Exit\"]/n approve [shape=hexagon, label=\"Approve?\"]/n ship [shape=parallelogram, script=\"echo shipped\"]/n revise [shape=parallelogram, script=\"echo revised\"]/n start -> approve/n approve -> ship [label=\"[A] Approve\"]/n approve -> revise [label=\"[R] Revise\"]/n ship -> exit/n revise -> exit/n}/n",
"working_directory": "[TEMP_DIR]"
},
"run_id": "[ULID]",
"ts": "[TIMESTAMP]"
},
{
"event": "sandbox.initializing",
"id": "[EVENT_ID]",
"properties": {
"provider": "local"
},
"run_id": "[ULID]",
"ts": "[TIMESTAMP]"
},
{
"event": "sandbox.ready",
"id": "[EVENT_ID]",
"properties": {
"cpu": null,
"duration_ms": "[DURATION_MS]",
"memory": null,
"name": null,
"provider": "local",
"url": null
},
"run_id": "[ULID]",
"ts": "[TIMESTAMP]"
},
{
"event": "sandbox.initialized",
"id": "[EVENT_ID]",
"properties": {
"provider": "local",
"working_directory": "[TEMP_DIR]"
},
"run_id": "[ULID]",
"ts": "[TIMESTAMP]"
},
{
"event": "run.started",
"id": "[EVENT_ID]",
"properties": {
"goal": "Wait for approval",
"name": "HumanGate"
},
"run_id": "[ULID]",
"ts": "[TIMESTAMP]"
},
{
"event": "stage.started",
"id": "[EVENT_ID]",
"node_id": "start",
"node_label": "Start",
"properties": {
"attempt": 1,
"handler_type": "start",
"index": 0,
"max_attempts": 1
},
"run_id": "[ULID]",
"ts": "[TIMESTAMP]"
},
{
"event": "stage.completed",
"id": "[EVENT_ID]",
"node_id": "start",
"node_label": "Start",
"properties": {
"attempt": 1,
"context_values": {
"current.preamble": "Goal: Wait for approval/n",
"current_node": "start",
"graph.goal": "Wait for approval",
"internal.fidelity": "compact",
"internal.node_visit_count": 1,
"internal.run_id": "[ULID]",
"internal.thread_id": null
},
"duration_ms": "[DURATION_MS]",
"files_touched": [],
"index": 0,
"max_attempts": 1,
"node_visits": {
"start": 1
},
"notes": null,
"preferred_label": null,
"status": "success",
"suggested_next_ids": [],
"usage": null
},
"run_id": "[ULID]",
"ts": "[TIMESTAMP]"
},
{
"event": "edge.selected",
"id": "[EVENT_ID]",
"properties": {
"condition": null,
"from_node": "start",
"is_jump": false,
"label": null,
"reason": "unconditional",
"stage_status": "success",
"to_node": "approve"
},
"run_id": "[ULID]",
"ts": "[TIMESTAMP]"
},
{
"event": "checkpoint.completed",
"id": "[EVENT_ID]",
"node_id": "start",
"node_label": "start",
"properties": {
"status": "success"
},
"run_id": "[ULID]",
"ts": "[TIMESTAMP]"
},
{
"event": "stage.started",
"id": "[EVENT_ID]",
"node_id": "approve",
"node_label": "Approve?",
"properties": {
"attempt": 1,
"handler_type": "human",
"index": 1,
"max_attempts": 1
},
"run_id": "[ULID]",
"ts": "[TIMESTAMP]"
}
]
"#);
}