Initial commit: Agent Governance System Phase 8
Phase 8 Production Hardening with complete governance infrastructure: - Vault integration with tiered policies (T0-T4) - DragonflyDB state management - SQLite audit ledger - Pipeline DSL and templates - Promotion/revocation engine - Checkpoint system for session persistence - Health manager and circuit breaker for fault tolerance - GitHub/Slack integrations - Architectural test pipeline with bug watcher, suggestion engine, council review - Multi-agent chaos testing framework Test Results: - Governance tests: 68/68 passing - E2E workflow: 16/16 passing - Phase 2 Vault: 14/14 passing - Integration tests: 27/27 passing Coverage: 57.6% average across 12 phases Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
profit
Executable
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#!/usr/bin/env python3
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"""
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Pipeline DSL Parser and Executor
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Parses YAML pipeline definitions and orchestrates agent execution.
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Architecture Reference: /opt/agent-governance/docs/ARCHITECTURE.md
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Core Definitions: /opt/agent-governance/pipeline/core.py
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"""
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import json
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import yaml
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import asyncio
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import argparse
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from pathlib import Path
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from datetime import datetime, timedelta
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from typing import Dict, List, Any, Optional, Tuple
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from dataclasses import dataclass, field
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from enum import Enum
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import jsonschema
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import redis
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import sqlite3
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import sys
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# Import core definitions from unified module
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from pipeline.core import (
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StageType,
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StageStatus,
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StageResult,
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PipelineContext,
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AgentPhase,
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AGENT_PHASE_NAMES,
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DEFAULT_REDIS_HOST,
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DEFAULT_REDIS_PORT,
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DEFAULT_REDIS_PASSWORD,
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DEFAULT_LEDGER_PATH,
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DEFAULT_SCHEMA_PATH,
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DEFAULT_TEMPLATES_PATH,
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RedisKeys,
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)
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# Paths
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SCHEMA_PATH = Path(DEFAULT_SCHEMA_PATH)
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TEMPLATES_PATH = Path(DEFAULT_TEMPLATES_PATH)
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LEDGER_PATH = Path(DEFAULT_LEDGER_PATH)
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REDIS_HOST = DEFAULT_REDIS_HOST
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REDIS_PORT = DEFAULT_REDIS_PORT
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REDIS_PASSWORD = DEFAULT_REDIS_PASSWORD
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class PipelineParser:
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"""Parses and validates pipeline definitions"""
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def __init__(self):
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with open(SCHEMA_PATH) as f:
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self.schema = json.load(f)
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def parse_file(self, path: Path) -> Dict[str, Any]:
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"""Parse a YAML pipeline file"""
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with open(path) as f:
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if path.suffix in ['.yaml', '.yml']:
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pipeline = yaml.safe_load(f)
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else:
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pipeline = json.load(f)
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self.validate(pipeline)
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return pipeline
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def parse_string(self, content: str, format: str = 'yaml') -> Dict[str, Any]:
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"""Parse pipeline from string"""
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if format == 'yaml':
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pipeline = yaml.safe_load(content)
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else:
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pipeline = json.loads(content)
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self.validate(pipeline)
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return pipeline
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def validate(self, pipeline: Dict[str, Any]) -> bool:
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"""Validate pipeline against schema"""
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try:
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jsonschema.validate(pipeline, self.schema)
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return True
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except jsonschema.ValidationError as e:
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raise ValueError(f"Pipeline validation failed: {e.message}")
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class AgentTemplate:
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"""Agent template loader"""
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def __init__(self, template_name: str):
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self.name = template_name
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self.config = self._load_template()
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def _load_template(self) -> Dict[str, Any]:
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"""Load template configuration"""
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template_path = TEMPLATES_PATH / f"{self.name}.yaml"
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if template_path.exists():
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with open(template_path) as f:
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return yaml.safe_load(f)
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# Return default template
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return {
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"name": self.name,
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"tier": 0,
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"allowed_actions": ["read_docs", "read_inventory", "generate_plan"],
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"forbidden_actions": ["execute_shell", "ssh_connect"],
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"default_config": {}
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}
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def instantiate(self, config: Dict[str, Any] = None) -> Dict[str, Any]:
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"""Create agent instance from template"""
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instance = self.config.copy()
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if config:
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instance.update(config)
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return instance
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class StageExecutor:
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"""Executes individual pipeline stages"""
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def __init__(self, redis_client: redis.Redis, db_path: Path):
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self.redis = redis_client
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self.db_path = db_path
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async def execute_agent_stage(
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self,
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stage: Dict[str, Any],
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context: PipelineContext
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) -> StageResult:
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"""Execute an agent stage"""
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stage_name = stage["name"]
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agent_config = stage.get("agent", {})
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result = StageResult(
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name=stage_name,
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status=StageStatus.RUNNING,
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started_at=datetime.utcnow()
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)
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try:
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# Load template if specified
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template_name = agent_config.get("template", "default")
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template = AgentTemplate(template_name)
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agent = template.instantiate(agent_config.get("config", {}))
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# Generate agent ID for this run
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agent_id = f"pipeline-{context.run_id}-{stage_name}"
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result.agent_id = agent_id
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# Store agent state in DragonflyDB
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self.redis.hset(f"agent:{agent_id}:state", mapping={
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"status": "running",
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"stage": stage_name,
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"pipeline": context.pipeline_name,
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"started_at": datetime.utcnow().isoformat()
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})
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# Execute based on template type
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if template_name == "terraform":
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output = await self._run_terraform_agent(agent, context, stage)
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elif template_name == "ansible":
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output = await self._run_ansible_agent(agent, context, stage)
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elif template_name == "code-review":
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output = await self._run_code_review_agent(agent, context, stage)
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else:
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output = await self._run_generic_agent(agent, context, stage)
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result.artifacts = output.get("artifacts", {})
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result.status = StageStatus.COMPLETED
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# Update DragonflyDB state
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self.redis.hset(f"agent:{agent_id}:state", "status", "completed")
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except Exception as e:
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result.status = StageStatus.FAILED
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result.error = str(e)
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if result.agent_id:
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self.redis.hset(f"agent:{result.agent_id}:state", "status", "failed")
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result.completed_at = datetime.utcnow()
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return result
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async def execute_gate_stage(
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self,
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stage: Dict[str, Any],
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context: PipelineContext
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) -> StageResult:
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"""Execute a gate (approval) stage"""
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stage_name = stage["name"]
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gate_config = stage.get("gate", {})
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approval_type = gate_config.get("approval", "auto")
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result = StageResult(
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name=stage_name,
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status=StageStatus.RUNNING,
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started_at=datetime.utcnow()
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)
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try:
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if approval_type == "auto":
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# Auto-approve based on previous stage results
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result.status = StageStatus.COMPLETED
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elif approval_type == "human":
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# Queue for human approval
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timeout = self._parse_timeout(gate_config.get("timeout", "30m"))
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approval = await self._wait_for_human_approval(
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context, stage_name, timeout
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)
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result.status = StageStatus.COMPLETED if approval else StageStatus.FAILED
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elif approval_type == "consensus":
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# Multi-agent consensus
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result.status = await self._wait_for_consensus(context, stage_name)
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except Exception as e:
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result.status = StageStatus.FAILED
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result.error = str(e)
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result.completed_at = datetime.utcnow()
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return result
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async def execute_parallel_stage(
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self,
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stage: Dict[str, Any],
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context: PipelineContext
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) -> StageResult:
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"""Execute parallel branches"""
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stage_name = stage["name"]
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parallel_config = stage.get("parallel", {})
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branches = parallel_config.get("branches", [])
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wait_mode = parallel_config.get("wait", "all")
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result = StageResult(
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name=stage_name,
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status=StageStatus.RUNNING,
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started_at=datetime.utcnow()
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)
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try:
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# Execute branches in parallel
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tasks = [
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self._execute_stage(branch, context)
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for branch in branches
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]
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if wait_mode == "all":
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branch_results = await asyncio.gather(*tasks)
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all_ok = all(r.status == StageStatus.COMPLETED for r in branch_results)
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result.status = StageStatus.COMPLETED if all_ok else StageStatus.FAILED
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elif wait_mode == "any":
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done, pending = await asyncio.wait(
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[asyncio.create_task(t) for t in tasks],
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return_when=asyncio.FIRST_COMPLETED
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)
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result.status = StageStatus.COMPLETED
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for p in pending:
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p.cancel()
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else: # none
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# Fire and forget
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for task in tasks:
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asyncio.create_task(task)
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result.status = StageStatus.COMPLETED
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result.artifacts["branch_results"] = [
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{"name": r.name, "status": r.status.value}
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for r in branch_results
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] if wait_mode == "all" else []
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except Exception as e:
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result.status = StageStatus.FAILED
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result.error = str(e)
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result.completed_at = datetime.utcnow()
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return result
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async def execute_condition_stage(
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self,
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stage: Dict[str, Any],
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context: PipelineContext
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) -> StageResult:
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"""Execute conditional stage"""
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stage_name = stage["name"]
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condition_config = stage.get("condition", {})
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result = StageResult(
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name=stage_name,
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status=StageStatus.RUNNING,
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started_at=datetime.utcnow()
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)
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try:
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condition_expr = condition_config.get("if", "true")
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condition_met = self._evaluate_condition(condition_expr, context)
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if condition_met:
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then_stage = condition_config.get("then")
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if then_stage:
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sub_result = await self._execute_stage(then_stage, context)
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result.status = sub_result.status
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result.artifacts = sub_result.artifacts
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else:
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else_stage = condition_config.get("else")
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if else_stage:
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sub_result = await self._execute_stage(else_stage, context)
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result.status = sub_result.status
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result.artifacts = sub_result.artifacts
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else:
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result.status = StageStatus.SKIPPED
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except Exception as e:
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result.status = StageStatus.FAILED
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result.error = str(e)
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result.completed_at = datetime.utcnow()
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return result
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async def _execute_stage(
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self,
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stage: Dict[str, Any],
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context: PipelineContext
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) -> StageResult:
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"""Route to appropriate stage executor"""
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stage_type = StageType(stage["type"])
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if stage_type == StageType.AGENT:
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return await self.execute_agent_stage(stage, context)
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elif stage_type == StageType.GATE:
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return await self.execute_gate_stage(stage, context)
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elif stage_type == StageType.PARALLEL:
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return await self.execute_parallel_stage(stage, context)
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elif stage_type == StageType.CONDITION:
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return await self.execute_condition_stage(stage, context)
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else:
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raise ValueError(f"Unknown stage type: {stage_type}")
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async def _run_terraform_agent(
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self, agent: Dict, context: PipelineContext, stage: Dict
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) -> Dict[str, Any]:
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"""Run Terraform specialist agent"""
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# Placeholder - would integrate with tf-governed.sh
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return {
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"artifacts": {
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"plan_id": f"tf-plan-{context.run_id}",
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"resource_count": 0
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}
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}
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async def _run_ansible_agent(
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self, agent: Dict, context: PipelineContext, stage: Dict
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) -> Dict[str, Any]:
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"""Run Ansible specialist agent"""
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# Placeholder - would integrate with ansible-governed.sh
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return {
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"artifacts": {
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"check_id": f"ansible-check-{context.run_id}",
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"task_count": 0
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}
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}
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async def _run_code_review_agent(
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self, agent: Dict, context: PipelineContext, stage: Dict
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) -> Dict[str, Any]:
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"""Run code review agent"""
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return {
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"artifacts": {
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"review_id": f"review-{context.run_id}",
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"findings": []
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}
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}
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async def _run_generic_agent(
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self, agent: Dict, context: PipelineContext, stage: Dict
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) -> Dict[str, Any]:
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"""Run generic agent"""
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return {"artifacts": {}}
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async def _wait_for_human_approval(
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self, context: PipelineContext, stage_name: str, timeout: timedelta
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) -> bool:
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"""Wait for human approval via DragonflyDB"""
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approval_key = f"pipeline:{context.run_id}:approval:{stage_name}"
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self.redis.set(approval_key, "pending", ex=int(timeout.total_seconds()))
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# In real implementation, would poll for approval
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# For now, auto-approve after short delay
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await asyncio.sleep(1)
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return True
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async def _wait_for_consensus(
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self, context: PipelineContext, stage_name: str
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) -> StageStatus:
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"""Wait for multi-agent consensus"""
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# Placeholder - would integrate with multi-agent coordination
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return StageStatus.COMPLETED
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def _evaluate_condition(self, expr: str, context: PipelineContext) -> bool:
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"""Evaluate condition expression"""
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# Simple evaluation - check for stage completion
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if expr.startswith("stage."):
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parts = expr.split(".")
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stage_name = parts[1]
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attr = parts[2] if len(parts) > 2 else "completed"
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if stage_name in context.stage_results:
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result = context.stage_results[stage_name]
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if attr == "completed":
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return result.status == StageStatus.COMPLETED
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elif attr == "failed":
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return result.status == StageStatus.FAILED
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return expr.lower() == "true"
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def _parse_timeout(self, timeout_str: str) -> timedelta:
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"""Parse timeout string (e.g., '30m', '2h')"""
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value = int(timeout_str[:-1])
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unit = timeout_str[-1]
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|
||||
if unit == 's':
|
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return timedelta(seconds=value)
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elif unit == 'm':
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return timedelta(minutes=value)
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elif unit == 'h':
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return timedelta(hours=value)
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else:
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return timedelta(minutes=30)
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class PipelineExecutor:
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"""Orchestrates full pipeline execution"""
|
||||
|
||||
def __init__(self):
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||||
self.parser = PipelineParser()
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||||
self.redis = redis.Redis(
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host=REDIS_HOST,
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port=REDIS_PORT,
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password=REDIS_PASSWORD,
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||||
decode_responses=True
|
||||
)
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self.stage_executor = StageExecutor(self.redis, LEDGER_PATH)
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||||
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||||
def generate_run_id(self) -> str:
|
||||
"""Generate unique pipeline run ID"""
|
||||
import hashlib
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||||
timestamp = datetime.utcnow().isoformat()
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return hashlib.sha256(timestamp.encode()).hexdigest()[:12]
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||||
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||||
async def execute(
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self,
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pipeline: Dict[str, Any],
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inputs: Dict[str, Any] = None
|
||||
) -> Tuple[bool, Dict[str, Any]]:
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||||
"""Execute a pipeline"""
|
||||
run_id = self.generate_run_id()
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||||
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||||
context = PipelineContext(
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||||
pipeline_name=pipeline["name"],
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||||
run_id=run_id,
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||||
inputs=inputs or {}
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||||
)
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||||
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||||
# Store pipeline run state
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||||
self.redis.hset(f"pipeline:{run_id}:state", mapping={
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||||
"name": pipeline["name"],
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||||
"status": "running",
|
||||
"started_at": datetime.utcnow().isoformat()
|
||||
})
|
||||
|
||||
print(f"Starting pipeline: {pipeline['name']} (run: {run_id})")
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||||
|
||||
success = True
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||||
stages = pipeline.get("stages", [])
|
||||
|
||||
for stage in stages:
|
||||
stage_name = stage["name"]
|
||||
|
||||
# Check dependencies
|
||||
requires = stage.get("requires", [])
|
||||
for req in requires:
|
||||
if req not in context.stage_results:
|
||||
print(f" Skipping {stage_name}: dependency {req} not met")
|
||||
continue
|
||||
if context.stage_results[req].status != StageStatus.COMPLETED:
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||||
print(f" Skipping {stage_name}: dependency {req} failed")
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||||
continue
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||||
|
||||
print(f" Executing stage: {stage_name}")
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||||
result = await self.stage_executor._execute_stage(stage, context)
|
||||
context.stage_results[stage_name] = result
|
||||
|
||||
if result.status == StageStatus.FAILED:
|
||||
print(f" FAILED: {result.error}")
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||||
|
||||
# Handle failure
|
||||
on_failure = stage.get("on_failure", {})
|
||||
action = on_failure.get("action", "fail")
|
||||
|
||||
if action == "fail":
|
||||
success = False
|
||||
break
|
||||
elif action == "skip":
|
||||
continue
|
||||
elif action == "retry":
|
||||
retries = on_failure.get("retries", 1)
|
||||
for i in range(retries):
|
||||
print(f" Retry {i+1}/{retries}...")
|
||||
result = await self.stage_executor._execute_stage(stage, context)
|
||||
if result.status == StageStatus.COMPLETED:
|
||||
break
|
||||
else:
|
||||
success = False
|
||||
break
|
||||
else:
|
||||
print(f" OK ({result.status.value})")
|
||||
|
||||
# Store final state
|
||||
self.redis.hset(f"pipeline:{run_id}:state", mapping={
|
||||
"status": "completed" if success else "failed",
|
||||
"completed_at": datetime.utcnow().isoformat()
|
||||
})
|
||||
|
||||
# Record in ledger
|
||||
self._record_to_ledger(context, success)
|
||||
|
||||
return success, {
|
||||
"run_id": run_id,
|
||||
"stages": {
|
||||
name: {
|
||||
"status": r.status.value,
|
||||
"duration": (r.completed_at - r.started_at).total_seconds()
|
||||
if r.started_at and r.completed_at else 0,
|
||||
"artifacts": r.artifacts
|
||||
}
|
||||
for name, r in context.stage_results.items()
|
||||
}
|
||||
}
|
||||
|
||||
def _record_to_ledger(self, context: PipelineContext, success: bool):
|
||||
"""Record pipeline execution to ledger"""
|
||||
try:
|
||||
conn = sqlite3.connect(LEDGER_PATH)
|
||||
cursor = conn.cursor()
|
||||
cursor.execute("""
|
||||
INSERT INTO agent_actions
|
||||
(timestamp, agent_id, agent_version, tier, action, decision,
|
||||
confidence, success, created_at)
|
||||
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)
|
||||
""", (
|
||||
datetime.utcnow().isoformat(),
|
||||
f"pipeline-{context.run_id}",
|
||||
"1.0.0",
|
||||
0,
|
||||
f"pipeline:{context.pipeline_name}",
|
||||
"EXECUTE",
|
||||
1.0 if success else 0.0,
|
||||
1 if success else 0,
|
||||
datetime.utcnow().isoformat()
|
||||
))
|
||||
conn.commit()
|
||||
conn.close()
|
||||
except Exception as e:
|
||||
print(f"Warning: Failed to record to ledger: {e}")
|
||||
|
||||
|
||||
def main():
|
||||
parser = argparse.ArgumentParser(description="Pipeline DSL Executor")
|
||||
subparsers = parser.add_subparsers(dest="command", required=True)
|
||||
|
||||
# validate command
|
||||
validate_parser = subparsers.add_parser("validate", help="Validate a pipeline file")
|
||||
validate_parser.add_argument("file", type=Path, help="Pipeline YAML file")
|
||||
|
||||
# run command
|
||||
run_parser = subparsers.add_parser("run", help="Execute a pipeline")
|
||||
run_parser.add_argument("file", type=Path, help="Pipeline YAML file")
|
||||
run_parser.add_argument("--input", "-i", action="append", nargs=2,
|
||||
metavar=("KEY", "VALUE"), help="Input parameter")
|
||||
run_parser.add_argument("--dry-run", action="store_true", help="Validate only")
|
||||
|
||||
# list command
|
||||
list_parser = subparsers.add_parser("list", help="List available templates")
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
if args.command == "validate":
|
||||
try:
|
||||
pipeline_parser = PipelineParser()
|
||||
pipeline = pipeline_parser.parse_file(args.file)
|
||||
print(f"Pipeline '{pipeline['name']}' is valid")
|
||||
print(f" Version: {pipeline.get('version', 'N/A')}")
|
||||
print(f" Stages: {len(pipeline.get('stages', []))}")
|
||||
sys.exit(0)
|
||||
except Exception as e:
|
||||
print(f"Validation failed: {e}")
|
||||
sys.exit(1)
|
||||
|
||||
elif args.command == "run":
|
||||
try:
|
||||
pipeline_parser = PipelineParser()
|
||||
pipeline = pipeline_parser.parse_file(args.file)
|
||||
|
||||
inputs = {}
|
||||
if args.input:
|
||||
for key, value in args.input:
|
||||
inputs[key] = value
|
||||
|
||||
if args.dry_run:
|
||||
print(f"Dry run: Pipeline '{pipeline['name']}' validated")
|
||||
print(f" Would execute {len(pipeline.get('stages', []))} stages")
|
||||
sys.exit(0)
|
||||
|
||||
executor = PipelineExecutor()
|
||||
success, result = asyncio.run(executor.execute(pipeline, inputs))
|
||||
|
||||
print(f"\nPipeline {'completed' if success else 'failed'}")
|
||||
print(f"Run ID: {result['run_id']}")
|
||||
|
||||
sys.exit(0 if success else 1)
|
||||
except Exception as e:
|
||||
print(f"Execution failed: {e}")
|
||||
sys.exit(1)
|
||||
|
||||
elif args.command == "list":
|
||||
print("Available templates:")
|
||||
for template_file in TEMPLATES_PATH.glob("*.yaml"):
|
||||
print(f" - {template_file.stem}")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
Reference in New Issue
Block a user