Files
issue-core/examples/agents/human_in_loop.py
tegwick 324453bd8d feat: transform to agent coordination platform with comprehensive documentation
Transform Issue Facade from a universal CLI tool into an agent coordination platform with comprehensive documentation and enhanced capabilities for autonomous coding agents.

Major Changes:
- Complete README rewrite focusing on agent-driven coordination
- New comprehensive documentation (AGENT_INTEGRATION.md, CLAUDE.md, ROADMAP.md)
- Capability integration setup with CAPABILITY.yaml and integration scripts
- Enhanced Makefile with local development targets for easier workflows

Bug Fixes:
- Fix schema initialization using executescript() for multi-line SQL support
- Disable FTS5 triggers due to compatibility issues (documented for future re-enablement)

Features:
- Enhanced CLI list command with full parameter passthrough
- New examples directory with agent integration patterns
- New comprehensive test suite (test_core_models.py, test_local_backend.py)

Code Quality:
- Remove @cached_property decorators for Label properties (simplification)
- Clean up test organization (removed old test_gitea_integration.py)

This milestone establishes Issue Facade as a production-ready coordination layer for multi-agent software development, with clear integration paths and comprehensive developer documentation.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2025-12-17 19:32:37 +01:00

301 lines
10 KiB
Python
Executable File

#!/usr/bin/env python3
"""
Human-in-the-Loop Agent
This agent demonstrates agent-human collaboration:
1. Agent proposes implementations
2. Human reviews and approves via comments
3. Agent proceeds only after approval
4. Agent can ask questions and wait for answers
Usage:
export GITEA_URL=https://gitea.example.com
export GITEA_TOKEN=your-token
export GITEA_OWNER=your-org
export GITEA_REPO=your-repo
python human_in_loop.py
"""
import os
import sys
import time
import re
from datetime import datetime, timezone, timedelta
from pathlib import Path
from typing import Optional, List
sys.path.insert(0, str(Path(__file__).parent.parent.parent))
from issue_tracker.backends.gitea import GiteaBackend
from issue_tracker.core.models import Issue, Label, User, Comment, IssueState
from issue_tracker.core.interfaces import IssueFilter
class HumanInLoopAgent:
"""Agent that requires human approval for critical decisions."""
def __init__(self, agent_id: str = "agent-collaborative"):
self.agent_id = agent_id
self.backend = None
def connect(self):
"""Connect to backend."""
base_url = os.environ['GITEA_URL']
token = os.environ['GITEA_TOKEN']
owner = os.environ['GITEA_OWNER']
repo = os.environ['GITEA_REPO']
self.backend = GiteaBackend()
self.backend.connect({
'base_url': base_url,
'token': token,
'owner': owner,
'repo': repo
})
print(f"✓ Connected to {base_url}/{owner}/{repo}")
def find_feature_request(self) -> Optional[Issue]:
"""Find a feature request that needs breaking down."""
print("\n🔍 Looking for feature requests...")
issues = self.backend.list_issues(IssueFilter(
state='open',
labels=['feature', 'needs-breakdown']
))
if issues:
print(f" Found {len(issues)} feature request(s)")
return issues[0]
else:
print(" No feature requests found")
return None
def propose_breakdown(self, feature: Issue) -> List[str]:
"""Propose breaking down a feature into subtasks."""
print(f"\n💡 Analyzing feature #{feature.number}: {feature.title}")
# Simulate AI analysis
time.sleep(2)
# Generate proposed subtasks
subtasks = [
f"Design database schema for {feature.title}",
f"Implement backend API for {feature.title}",
f"Create frontend components for {feature.title}",
f"Write integration tests for {feature.title}",
f"Update documentation for {feature.title}"
]
print(f" Proposed {len(subtasks)} subtasks")
return subtasks
def request_approval(self, issue: Issue, subtasks: List[str]):
"""Post proposal and request human approval."""
print(f"\n📝 Requesting approval for feature breakdown...")
# Format proposal
proposal = f"🤖 **Agent Proposal: Feature Breakdown**\n\n"
proposal += f"I analyzed this feature and propose breaking it into {len(subtasks)} subtasks:\n\n"
for i, task in enumerate(subtasks, 1):
proposal += f"{i}. {task}\n"
proposal += f"\n**Human Review Required:**\n"
proposal += f"- Reply with `APPROVED` to create these subtasks\n"
proposal += f"- Reply with `REJECTED: reason` to decline\n"
proposal += f"- Reply with `MODIFY: suggestions` to request changes\n\n"
proposal += f"*Waiting for your response...*"
# Post comment
comment = Comment(
id=None,
body=proposal,
author=User(id=self.agent_id, username=self.agent_id),
created_at=datetime.now(timezone.utc)
)
self.backend.add_comment(issue.id, comment)
# Add label
issue.labels.append(Label(name='awaiting-approval'))
self.backend.update_issue(issue)
print(f" ✓ Approval requested on issue #{issue.number}")
def check_for_approval(self, issue: Issue, since: datetime) -> Optional[str]:
"""Check if human has approved/rejected."""
comments = self.backend.get_comments(issue.id)
# Look for recent human comments
for comment in reversed(comments):
# Skip agent's own comments
if comment.author.username == self.agent_id:
continue
# Only check comments after proposal
if comment.created_at <= since:
continue
# Check for approval keywords
body_upper = comment.body.upper()
if 'APPROVED' in body_upper:
return 'approved'
elif 'REJECTED' in body_upper:
return 'rejected'
elif 'MODIFY' in body_upper:
return 'modify'
return None
def create_subtasks(self, parent: Issue, subtasks: List[str]):
"""Create subtask issues."""
print(f"\n✅ Creating {len(subtasks)} subtasks...")
for i, task_title in enumerate(subtasks, 1):
subtask = Issue(
id=None,
number=0,
title=task_title,
description=f"**Subtask of #{parent.number}**: {parent.title}\n\n"
f"This is subtask {i} of {len(subtasks)}.\n\n"
f"**Parent Issue:** #{parent.number}",
state=IssueState.OPEN,
created_at=datetime.now(timezone.utc),
updated_at=datetime.now(timezone.utc),
labels=[
Label(name='subtask'),
Label(name=f'parent:{parent.number}'),
Label(name='agent-generated')
]
)
created = self.backend.create_issue(subtask)
print(f" Created subtask #{created.number}: {task_title}")
time.sleep(0.5) # Rate limit
# Update parent issue
parent.labels = [l for l in parent.labels
if l.name not in ['needs-breakdown', 'awaiting-approval']]
parent.labels.append(Label(name='broken-down'))
self.backend.update_issue(parent)
# Add completion comment
comment = Comment(
id=None,
body=f"✅ Subtasks created successfully.\n\n"
f"Created {len(subtasks)} subtasks. "
f"You can now assign these to team members or agents.",
author=User(id=self.agent_id, username=self.agent_id),
created_at=datetime.now(timezone.utc)
)
self.backend.add_comment(parent.id, comment)
print(f" ✓ All subtasks created for #{parent.number}")
def wait_for_approval(self, issue: Issue, proposal_time: datetime,
timeout_minutes: int = 60):
"""Wait for human approval with timeout."""
print(f"\n⏳ Waiting for human approval (timeout: {timeout_minutes}min)...")
start_time = datetime.now(timezone.utc)
timeout = timedelta(minutes=timeout_minutes)
check_interval = 30 # Check every 30 seconds
while True:
elapsed = datetime.now(timezone.utc) - start_time
if elapsed > timeout:
print(f"\n⏱️ Timeout: No response after {timeout_minutes} minutes")
return None
# Check for approval
decision = self.check_for_approval(issue, proposal_time)
if decision:
print(f"\n✓ Human response: {decision.upper()}")
return decision
# Wait before checking again
remaining = int((timeout - elapsed).total_seconds() / 60)
print(f" Still waiting... ({remaining} minutes remaining)")
time.sleep(check_interval)
def run_cycle(self):
"""Run one complete cycle."""
# Find feature to break down
feature = self.find_feature_request()
if not feature:
return False
# Propose breakdown
subtasks = self.propose_breakdown(feature)
# Request approval
proposal_time = datetime.now(timezone.utc)
self.request_approval(feature, subtasks)
# Wait for human decision
decision = self.wait_for_approval(feature, proposal_time, timeout_minutes=60)
if decision == 'approved':
print("\n🎉 Proposal approved! Creating subtasks...")
self.create_subtasks(feature, subtasks)
return True
elif decision == 'rejected':
print("\n❌ Proposal rejected. Moving to next feature.")
feature.labels = [l for l in feature.labels
if l.name != 'awaiting-approval']
feature.labels.append(Label(name='proposal-rejected'))
self.backend.update_issue(feature)
return False
elif decision == 'modify':
print("\n🔄 Modification requested. Human will update requirements.")
feature.labels = [l for l in feature.labels
if l.name != 'awaiting-approval']
feature.labels.append(Label(name='needs-revision'))
self.backend.update_issue(feature)
return False
else:
print("\n⏱️ No response. Will retry later.")
feature.labels = [l for l in feature.labels
if l.name != 'awaiting-approval']
self.backend.update_issue(feature)
return False
def main():
"""Main entry point."""
try:
agent = HumanInLoopAgent(agent_id="agent-collaborative")
agent.connect()
print("\n🤖 Human-in-the-Loop Agent")
print(" This agent proposes feature breakdowns and waits for approval\n")
if '--once' in sys.argv:
agent.run_cycle()
else:
# Run continuously
print(" Running in loop mode (Ctrl+C to stop)\n")
while True:
if not agent.run_cycle():
print("\n⏸️ No work to do, waiting 60 seconds...")
time.sleep(60)
except KeyboardInterrupt:
print("\n\n⚠️ Interrupted by user")
sys.exit(0)
except Exception as e:
print(f"\n❌ Error: {e}")
import traceback
traceback.print_exc()
sys.exit(1)
if __name__ == '__main__':
main()