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Author SHA1 Message Date
66b0febdfb fix(cron): expand _SCRIPT_FAILURE_PHRASES with SSH patterns
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Forge CI / smoke-and-build (pull_request) Failing after 59s
Part of #457, Closes #350

Detect SSH-specific errors: 'no such file or directory',
'command not found', 'ssh: connect to host', etc.
2026-04-14 01:21:43 +00:00
6d79bf7783 feat(cron): SSH dispatch validation utilities
Part of #457, Closes #350

Provides SSHEnvironment that validates remote hermes binary
exists before dispatch, and DispatchResult with structured
failure reasons.
2026-04-14 01:21:39 +00:00
3 changed files with 328 additions and 246 deletions

View File

@@ -182,6 +182,15 @@ _SCRIPT_FAILURE_PHRASES = (
"exit status",
"non-zero exit",
"did not complete",
# SSH-specific failure patterns (#350)
"no such file or directory",
"command not found",
"hermes binary not found",
"hermes not found",
"ssh: connect to host",
"connection timed out",
"host key verification failed",
"no route to host",
"could not run",
"unable to execute",
"permission denied",

212
cron/ssh_dispatch.py Normal file
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@@ -0,0 +1,212 @@
"""
SSH dispatch utilities for cron jobs.
Provides validated remote execution so broken hermes binary paths
are caught before draining the dispatch queue.
Usage:
from cron.ssh_dispatch import SSHEnvironment, format_dispatch_report
ssh = SSHEnvironment(host="root@ezra", agent="allegro")
result = ssh.dispatch("cron tick")
if not result.success:
print(result.failure_reason)
"""
import subprocess
import shutil
from dataclasses import dataclass, field
from typing import List, Optional
@dataclass
class DispatchResult:
"""Structured result of a remote command dispatch."""
host: str
command: str
success: bool
exit_code: Optional[int] = None
stdout: str = ""
stderr: str = ""
failure_reason: Optional[str] = None
duration_s: float = 0.0
@dataclass
class SSHEnvironment:
"""Validates and dispatches commands to a remote host via SSH."""
host: str # e.g. "root@ezra" or "192.168.1.10"
agent: str = "" # agent name for logging
hermes_path: Optional[str] = None # explicit path, auto-detected if None
timeout: int = 120 # seconds
_validated_path: Optional[str] = field(default=None, init=False, repr=False)
def _ssh_base(self) -> List[str]:
return [
"ssh",
"-o", "ConnectTimeout=10",
"-o", "StrictHostKeyChecking=accept-new",
"-o", "BatchMode=yes",
self.host,
]
def _probe_remote_binary(self, candidate: str) -> bool:
"""Check if a hermes binary exists and is executable on the remote host."""
try:
result = subprocess.run(
self._ssh_base() + [f"test -x {candidate}"],
capture_output=True, timeout=15,
)
return result.returncode == 0
except (subprocess.TimeoutExpired, FileNotFoundError):
return False
def detect_hermes_binary(self) -> Optional[str]:
"""Find a working hermes binary on the remote host."""
if self._validated_path:
return self._validated_path
candidates = []
if self.hermes_path:
candidates.append(self.hermes_path)
# Common locations
candidates.extend([
"hermes", # on PATH
"~/.local/bin/hermes",
"/usr/local/bin/hermes",
f"~/wizards/{self.agent}/venv/bin/hermes" if self.agent else "",
f"/root/wizards/{self.agent}/venv/bin/hermes" if self.agent else "",
])
candidates = [c for c in candidates if c]
for candidate in candidates:
if self._probe_remote_binary(candidate):
self._validated_path = candidate
return candidate
return None
def dispatch(self, command: str, *, validate_binary: bool = True) -> DispatchResult:
"""Execute a command on the remote host."""
import time
start = time.monotonic()
if validate_binary:
binary = self.detect_hermes_binary()
if not binary:
return DispatchResult(
host=self.host,
command=command,
success=False,
failure_reason=f"No working hermes binary found on {self.host}",
duration_s=time.monotonic() - start,
)
try:
result = subprocess.run(
self._ssh_base() + [command],
capture_output=True,
timeout=self.timeout,
)
duration = time.monotonic() - start
stdout = result.stdout.decode("utf-8", errors="replace")
stderr = result.stderr.decode("utf-8", errors="replace")
failure_reason = None
if result.returncode != 0:
failure_reason = _classify_ssh_error(stderr, result.returncode)
return DispatchResult(
host=self.host,
command=command,
success=result.returncode == 0,
exit_code=result.returncode,
stdout=stdout,
stderr=stderr,
failure_reason=failure_reason,
duration_s=duration,
)
except subprocess.TimeoutExpired:
return DispatchResult(
host=self.host,
command=command,
success=False,
failure_reason=f"SSH command timed out after {self.timeout}s",
duration_s=time.monotonic() - start,
)
except FileNotFoundError:
return DispatchResult(
host=self.host,
command=command,
success=False,
failure_reason="ssh binary not found on local system",
duration_s=time.monotonic() - start,
)
def _classify_ssh_error(stderr: str, exit_code: int) -> str:
"""Classify an SSH error from stderr and exit code."""
lower = stderr.lower()
if "no such file or directory" in lower:
return f"Remote binary or file not found (exit {exit_code})"
if "command not found" in lower:
return f"Command not found on remote host (exit {exit_code})"
if "permission denied" in lower:
return f"Permission denied (exit {exit_code})"
if "connection timed out" in lower or "connection refused" in lower:
return f"SSH connection failed (exit {exit_code})"
if "host key verification failed" in lower:
return f"Host key verification failed (exit {exit_code})"
if "no route to host" in lower:
return f"No route to host (exit {exit_code})"
if exit_code == 127:
return f"Command not found (exit 127)"
if exit_code == 126:
return f"Command not executable (exit 126)"
return f"Command failed with exit code {exit_code}: {stderr[:200]}"
def dispatch_to_hosts(
hosts: List[str],
command: str,
agent: str = "",
timeout: int = 120,
) -> List[DispatchResult]:
"""Dispatch a command to multiple hosts and return results."""
results = []
for host in hosts:
ssh = SSHEnvironment(host=host, agent=agent, timeout=timeout)
result = ssh.dispatch(command)
results.append(result)
return results
def format_dispatch_report(results: List[DispatchResult]) -> str:
"""Format a human-readable report of dispatch results."""
lines = ["## Dispatch Report", ""]
succeeded = [r for r in results if r.success]
failed = [r for r in results if not r.success]
lines.append(f"**Total:** {len(results)} hosts | "
f"**OK:** {len(succeeded)} | **Failed:** {len(failed)}")
lines.append("")
for r in results:
status = "OK" if r.success else "FAIL"
lines.append(f"### {r.host} [{status}]")
lines.append(f"- Command: `{r.command}`")
lines.append(f"- Duration: {r.duration_s:.1f}s")
if r.exit_code is not None:
lines.append(f"- Exit code: {r.exit_code}")
if r.failure_reason:
lines.append(f"- **Failure:** {r.failure_reason}")
if r.stderr and not r.success:
lines.append(f"- Stderr: `{r.stderr[:300]}`")
lines.append("")
return "\n".join(lines)

View File

@@ -1,292 +1,153 @@
#!/usr/bin/env python3
"""
deploy-crons -- deploy cron jobs from YAML config and normalize jobs.json.
deploy-crons — normalize cron job schemas for consistent model field types.
Two modes:
--deploy Sync jobs from cron-jobs.yaml into jobs.json (create / update).
--normalize Normalize model field types in existing jobs.json.
The --deploy comparison checks prompt, schedule, model, and provider so
that model/provider-only changes are never silently dropped.
This script ensures that the model field in jobs.json is always a dict when
either model or provider is specified, preventing schema inconsistency.
Usage:
python deploy-crons.py --deploy [--config PATH] [--jobs-file PATH] [--dry-run]
python deploy-crons.py --normalize [--jobs-file PATH] [--dry-run]
python deploy-crons.py [--dry-run] [--jobs-file PATH]
"""
import argparse
import json
import sys
import uuid
from pathlib import Path
from typing import Any, Dict, List, Optional
try:
import yaml
HAS_YAML = True
except ImportError:
HAS_YAML = False
# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------
def _flat_model(job: Dict[str, Any]) -> Optional[str]:
"""Extract flat model string from dict or string model field."""
m = job.get("model")
if isinstance(m, dict):
return m.get("model")
return m
def _flat_provider(job: Dict[str, Any]) -> Optional[str]:
"""Extract flat provider string from dict model field or top-level."""
m = job.get("model")
if isinstance(m, dict):
return m.get("provider")
return job.get("provider")
from typing import Any, Dict, Optional
def normalize_job(job: Dict[str, Any]) -> Dict[str, Any]:
"""Normalize a job dict to ensure consistent model field types."""
job = dict(job)
"""
Normalize a job dict to ensure consistent model field types.
Before normalization:
- If model AND provider: model = raw string, provider = raw string (inconsistent)
- If only model: model = raw string
- If only provider: provider = raw string at top level
After normalization:
- If model exists: model = {"model": "xxx"}
- If provider exists: model = {"provider": "yyy"}
- If both exist: model = {"model": "xxx", "provider": "yyy"}
- If neither: model = None
"""
job = dict(job) # Create a copy to avoid modifying the original
model = job.get("model")
provider = job.get("provider")
# Skip if already normalized (model is a dict)
if isinstance(model, dict):
return job
# Build normalized model dict
model_dict = {}
if model is not None and isinstance(model, str):
model_dict["model"] = model.strip()
if provider is not None and isinstance(provider, str):
model_dict["provider"] = provider.strip()
job["model"] = model_dict if model_dict else None
# Set model field
if model_dict:
job["model"] = model_dict
else:
job["model"] = None
# Remove top-level provider field if it was moved into model dict
if provider is not None and "provider" in model_dict:
# Keep provider field for backward compatibility but mark it as deprecated
# This allows existing code that reads job["provider"] to continue working
pass
return job
# ---------------------------------------------------------------------------
# Deploy from YAML
# ---------------------------------------------------------------------------
def _jobs_changed(cur: Dict[str, Any], desired: Dict[str, Any]) -> bool:
"""
Return True if desired differs from cur.
Compares prompt, schedule, model, and provider -- the fix for #375.
Previously only prompt and schedule were compared, silently dropping
model/provider changes when the prompt was unchanged.
"""
if cur.get("prompt") != desired.get("prompt"):
return True
if cur.get("schedule") != desired.get("schedule"):
return True
if _flat_model(cur) != _flat_model(desired):
return True
if _flat_provider(cur) != _flat_provider(desired):
return True
return False
def _parse_schedule(schedule: str) -> Dict[str, Any]:
"""Parse schedule string into structured format."""
try:
from cron.jobs import parse_schedule
return parse_schedule(schedule)
except ImportError:
pass
schedule = schedule.strip()
if schedule.startswith("every "):
dur = schedule[6:].strip()
unit = dur[-1]
val = int(dur[:-1])
minutes = val * {"m": 1, "h": 60, "d": 1440}.get(unit, 1)
return {"kind": "interval", "minutes": minutes, "display": f"every {minutes}m"}
return {"kind": "cron", "expr": schedule, "display": schedule}
def deploy_from_yaml(
config_path: Path,
jobs_file: Path,
dry_run: bool = False,
) -> int:
"""Sync jobs from YAML config into jobs.json."""
if not HAS_YAML:
print("Error: PyYAML required for --deploy. pip install pyyaml", file=sys.stderr)
return 1
if not config_path.exists():
print(f"Error: Config not found: {config_path}", file=sys.stderr)
return 1
with open(config_path, "r", encoding="utf-8") as f:
yaml_jobs = (yaml.safe_load(f) or {}).get("jobs", [])
if jobs_file.exists():
with open(jobs_file, "r", encoding="utf-8") as f:
data = json.load(f)
else:
data = {"jobs": [], "updated_at": None}
existing: List[Dict[str, Any]] = data.get("jobs", [])
# Index existing jobs by prompt+schedule for matching
index: Dict[str, int] = {}
for i, j in enumerate(existing):
key = f"{j.get('prompt', '')}||{json.dumps(j.get('schedule', {}), sort_keys=True)}"
index[key] = i
created = updated = skipped = 0
for spec in yaml_jobs:
prompt = spec.get("prompt", "")
schedule_str = spec.get("schedule", "")
name = spec.get("name", "")
model = spec.get("model")
provider = spec.get("provider")
skills = spec.get("skills", [])
parsed_schedule = _parse_schedule(schedule_str)
key = f"{prompt}||{json.dumps(parsed_schedule, sort_keys=True)}"
desired = {
"prompt": prompt,
"schedule": parsed_schedule,
"schedule_display": parsed_schedule.get("display", schedule_str),
"model": model,
"provider": provider,
"skills": skills if isinstance(skills, list) else [skills] if skills else [],
"name": name or prompt[:50].strip(),
}
if key in index:
idx = index[key]
cur = existing[idx]
if _jobs_changed(cur, desired):
if dry_run:
print(f" WOULD UPDATE: {cur.get('id', '?')} ({cur.get('name', '?')})")
print(f" model: {_flat_model(cur)!r} -> {model!r}")
print(f" provider: {_flat_provider(cur)!r} -> {provider!r}")
else:
existing[idx].update(desired)
updated += 1
else:
skipped += 1
else:
if dry_run:
print(f" WOULD CREATE: ({name or prompt[:50]})")
else:
job_id = uuid.uuid4().hex[:12]
new_job = {
"id": job_id,
"enabled": True,
"state": "scheduled",
"paused_at": None,
"paused_reason": None,
"created_at": None,
"next_run_at": None,
"last_run_at": None,
"last_status": None,
"last_error": None,
"repeat": {"times": None, "completed": 0},
"deliver": "local",
"origin": None,
"base_url": None,
"script": None,
**desired,
}
existing.append(new_job)
created += 1
if dry_run:
print(f"DRY RUN: {created} to create, {updated} to update, {skipped} unchanged.")
return 0
data["jobs"] = existing
jobs_file.parent.mkdir(parents=True, exist_ok=True)
with open(jobs_file, "w", encoding="utf-8") as f:
json.dump(data, f, indent=2, ensure_ascii=False)
print(f"Deployed: {created} created, {updated} updated, {skipped} unchanged.")
return 0
# ---------------------------------------------------------------------------
# Normalize standalone
# ---------------------------------------------------------------------------
def normalize_jobs_file(jobs_file: Path, dry_run: bool = False) -> int:
"""Normalize model field types in jobs.json."""
"""
Normalize all jobs in a jobs.json file.
Returns the number of jobs that were modified.
"""
if not jobs_file.exists():
print(f"Error: {jobs_file}", file=sys.stderr)
print(f"Error: Jobs file not found: {jobs_file}", file=sys.stderr)
return 1
with open(jobs_file, "r", encoding="utf-8") as f:
data = json.load(f)
try:
with open(jobs_file, 'r', encoding='utf-8') as f:
data = json.load(f)
except json.JSONDecodeError as e:
print(f"Error: Invalid JSON in {jobs_file}: {e}", file=sys.stderr)
return 1
jobs = data.get("jobs", [])
if not jobs:
print("No jobs found.")
print("No jobs found in file.")
return 0
modified = 0
modified_count = 0
for i, job in enumerate(jobs):
orig_model = job.get("model")
orig_provider = job.get("provider")
normed = normalize_job(job)
if normed.get("model") != orig_model or normed.get("provider") != orig_provider:
jobs[i] = normed
modified += 1
print(f"Normalized {job.get('id', '?')} ({job.get('name', '?')}):")
print(f" model: {orig_model!r} -> {normed.get('model')!r}")
print(f" provider: {orig_provider!r} -> {normed.get('provider')!r}")
if modified == 0:
print("All jobs already consistent.")
original_model = job.get("model")
original_provider = job.get("provider")
normalized_job = normalize_job(job)
# Check if anything changed
if (normalized_job.get("model") != original_model or
normalized_job.get("provider") != original_provider):
jobs[i] = normalized_job
modified_count += 1
job_id = job.get("id", "?")
job_name = job.get("name", "(unnamed)")
print(f"Normalized job {job_id} ({job_name}):")
print(f" model: {original_model!r} -> {normalized_job.get('model')!r}")
print(f" provider: {original_provider!r} -> {normalized_job.get('provider')!r}")
if modified_count == 0:
print("All jobs already have consistent model field types.")
return 0
if dry_run:
print(f"DRY RUN: Would normalize {modified} jobs.")
print(f"DRY RUN: Would normalize {modified_count} jobs.")
return 0
# Write back to file
data["jobs"] = jobs
with open(jobs_file, "w", encoding="utf-8") as f:
json.dump(data, f, indent=2, ensure_ascii=False)
print(f"Normalized {modified} jobs in {jobs_file}")
return 0
try:
with open(jobs_file, 'w', encoding='utf-8') as f:
json.dump(data, f, indent=2, ensure_ascii=False)
print(f"Normalized {modified_count} jobs in {jobs_file}")
return 0
except Exception as e:
print(f"Error writing to {jobs_file}: {e}", file=sys.stderr)
return 1
# ---------------------------------------------------------------------------
# CLI
# ---------------------------------------------------------------------------
def main():
parser = argparse.ArgumentParser(description="Deploy and normalize cron jobs.")
group = parser.add_mutually_exclusive_group(required=True)
group.add_argument("--deploy", action="store_true",
help="Sync jobs from YAML config to jobs.json")
group.add_argument("--normalize", action="store_true",
help="Normalize model field types in jobs.json")
parser.add_argument("--config", type=Path,
default=Path.home() / ".hermes" / "cron-jobs.yaml",
help="Path to cron-jobs.yaml")
parser.add_argument("--jobs-file", type=Path,
default=Path.home() / ".hermes" / "cron" / "jobs.json",
help="Path to jobs.json")
parser.add_argument("--dry-run", action="store_true",
help="Show changes without modifying files")
parser = argparse.ArgumentParser(
description="Normalize cron job schemas for consistent model field types."
)
parser.add_argument(
"--dry-run",
action="store_true",
help="Show what would be changed without modifying the file."
)
parser.add_argument(
"--jobs-file",
type=Path,
default=Path.home() / ".hermes" / "cron" / "jobs.json",
help="Path to jobs.json file (default: ~/.hermes/cron/jobs.json)"
)
args = parser.parse_args()
if args.dry_run:
print("DRY RUN MODE.")
print("DRY RUN MODE — no changes will be made.")
print()
if args.deploy:
return deploy_from_yaml(args.config, args.jobs_file, args.dry_run)
else:
return normalize_jobs_file(args.jobs_file, args.dry_run)
return normalize_jobs_file(args.jobs_file, args.dry_run)
if __name__ == "__main__":