Spaces:
Sleeping
Sleeping
File size: 11,344 Bytes
8b02e7c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 | """Configuration file generator for orchestrators and delegation rules.
This module generates YAML configuration files based on user selections
during installation.
"""
import logging
import shutil
from datetime import datetime
from pathlib import Path
from typing import Any
import yaml
from rich.console import Console
from rich.prompt import Confirm
from ..agent_discovery import AgentMetadata
from .agent_profiles import get_agent_profile
from .task_mapper import TASK_CATEGORIES
logger = logging.getLogger(__name__)
console = Console()
class ConfigGenerator:
"""Generates configuration files based on user selections."""
def __init__(self):
"""Initialize the config generator."""
self.orchestrators_config: dict[str, Any] = {}
self.delegation_config: dict[str, Any] = {}
def check_existing_configs(self, project_dir: Path) -> bool:
"""
Check if configuration files already exist.
Args:
project_dir: Project directory path
Returns:
True if configs exist, False otherwise
"""
config_dir = project_dir / "config"
orchestrators_file = config_dir / "orchestrators.yaml"
delegation_file = config_dir / "delegation_rules.yaml"
return orchestrators_file.exists() or delegation_file.exists()
def prompt_existing_configs(self, project_dir: Path) -> str:
"""
Prompt user for how to handle existing configs.
Args:
project_dir: Project directory path
Returns:
User choice: "overwrite", "backup", or "skip"
"""
console.print("\n[yellow]⚠ Existing configuration detected[/yellow]")
console.print("\nConfiguration files already exist in this project.")
console.print("You can:")
console.print(" [cyan]O[/cyan]verwrite - Replace existing files with new configuration")
console.print(" [cyan]B[/cyan]ackup - Backup existing files and create new ones")
console.print(" [cyan]S[/cyan]kip - Keep existing files unchanged\n")
choice = ""
while choice not in ["o", "b", "s"]:
choice = input("Choose an option (O/B/S): ").lower().strip()
choice_map = {"o": "overwrite", "b": "backup", "s": "skip"}
return choice_map[choice]
def backup_existing_configs(self, project_dir: Path) -> None:
"""
Backup existing configuration files.
Args:
project_dir: Project directory path
"""
config_dir = project_dir / "config"
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
files_to_backup = [
"orchestrators.yaml",
"delegation_rules.yaml",
]
for filename in files_to_backup:
source = config_dir / filename
if source.exists():
backup_name = f"{source.stem}.backup_{timestamp}{source.suffix}"
backup_path = config_dir / backup_name
shutil.copy2(source, backup_path)
console.print(f"[green]✓[/green] Backed up {filename} to {backup_name}")
def generate_orchestrators_yaml(
self,
selected_agents: list[str],
agent_metadata: dict[str, AgentMetadata],
) -> dict[str, Any]:
"""
Generate orchestrators.yaml configuration.
Args:
selected_agents: List of selected agent names
agent_metadata: Dictionary of agent name to metadata
Returns:
Orchestrators configuration dictionary
"""
config: dict[str, Any] = {"orchestrators": {}}
for agent_name in selected_agents:
metadata = agent_metadata.get(agent_name)
if not metadata:
continue
# Get command and args from metadata
# command can be a string or list[str]
if isinstance(metadata.command, list):
command = metadata.command[0] if metadata.command else agent_name
args = metadata.command[1:] if len(metadata.command) > 1 else []
else:
command = metadata.command or agent_name
args = []
# Build orchestrator config
orch_config: dict[str, Any] = {
"name": agent_name,
"command": command,
"args": args,
"enabled": True,
"env": {},
"timeout": 300,
"max_retries": 3,
}
config["orchestrators"][agent_name] = orch_config
self.orchestrators_config = config
return config
def generate_delegation_rules_yaml(
self,
selected_agents: list[str],
task_mappings: dict[str, str],
agent_metadata: dict[str, AgentMetadata],
primary_orchestrator: str,
) -> dict[str, Any]:
"""
Generate delegation_rules.yaml configuration.
Args:
selected_agents: List of selected agent names
task_mappings: Dictionary of task_key -> agent_name
agent_metadata: Dictionary of agent name to metadata
primary_orchestrator: Name of primary orchestrator
Returns:
Delegation rules configuration dictionary
"""
config: dict[str, Any] = {
"orchestrator": primary_orchestrator,
"routing_strategy": "hybrid",
"orchestrators": {},
"rules": [],
}
# Build orchestrators section with capabilities
for agent_name in selected_agents:
metadata = agent_metadata.get(agent_name)
if not metadata:
continue
profile = get_agent_profile(agent_name)
capabilities = profile["capabilities"]
# Get command and args from metadata
# command can be a string or list[str]
if isinstance(metadata.command, list):
command = metadata.command[0] if metadata.command else agent_name
args = metadata.command[1:] if len(metadata.command) > 1 else []
else:
command = metadata.command or agent_name
args = []
orch_config: dict[str, Any] = {
"name": agent_name,
"command": command,
"args": args,
"enabled": True,
"env": {},
"timeout": 300,
"max_retries": 3,
"cost_per_1k_tokens": 0.001,
"capabilities": dict(capabilities),
}
config["orchestrators"][agent_name] = orch_config
# Build delegation rules from task mappings
# Create task key to category mapping
category_map = {cat["key"]: cat for cat in TASK_CATEGORIES}
priority = 10 # Start with high priority
for task_key, agent_name in task_mappings.items():
category = category_map.get(task_key)
if not category:
continue
# Build pattern from examples
pattern_parts = category["pattern_examples"]
pattern = "|".join(pattern_parts)
rule: dict[str, Any] = {
"delegate_to": agent_name,
"description": category["description"],
"pattern": pattern,
"priority": max(1, priority),
"requires_approval": False,
}
config["rules"].append(rule)
priority -= 1 # Decrease priority for next rule
# Add fallback rule (general tasks)
if "general" not in task_mappings:
# Use primary orchestrator as fallback
fallback_agent = primary_orchestrator
else:
fallback_agent = task_mappings["general"]
fallback_rule: dict[str, Any] = {
"delegate_to": fallback_agent,
"description": "General queries and fallback",
"pattern": ".*",
"priority": 1,
"requires_approval": False,
}
config["rules"].append(fallback_rule)
self.delegation_config = config
return config
def save_configs(self, project_dir: Path) -> None:
"""
Save configuration files to disk.
Args:
project_dir: Project directory path
"""
config_dir = project_dir / "config"
config_dir.mkdir(parents=True, exist_ok=True)
# Save orchestrators.yaml
orchestrators_file = config_dir / "orchestrators.yaml"
with open(orchestrators_file, "w", encoding="utf-8") as f:
yaml.dump(
self.orchestrators_config,
f,
default_flow_style=False,
sort_keys=False,
)
console.print(f"[green]✓[/green] Generated {orchestrators_file}")
# Save delegation_rules.yaml
delegation_file = config_dir / "delegation_rules.yaml"
with open(delegation_file, "w", encoding="utf-8") as f:
# Add header comment
f.write("# Delegation MCP Configuration\n")
f.write("# Auto-generated based on user selections\n\n")
yaml.dump(
self.delegation_config,
f,
default_flow_style=False,
sort_keys=False,
)
console.print(f"[green]✓[/green] Generated {delegation_file}")
def generate_configs(
self,
selected_agents: list[str],
task_mappings: dict[str, str],
agent_metadata: dict[str, AgentMetadata],
primary_orchestrator: str,
project_dir: Path,
scope: str = "local",
) -> None:
"""
Complete configuration generation flow.
Args:
selected_agents: List of selected agent names
task_mappings: Dictionary of task_key -> agent_name
agent_metadata: Dictionary of agent name to metadata
primary_orchestrator: Name of primary orchestrator
project_dir: Project directory path
scope: Installation scope - "local" for project-level, "user" for user-level
"""
# Determine config directory based on scope
if scope == "user":
config_base_dir = Path.home() / ".delegation-mcp"
else:
config_base_dir = project_dir
# Check for existing configs
if self.check_existing_configs(config_base_dir):
choice = self.prompt_existing_configs(config_base_dir)
if choice == "skip":
console.print("\n[yellow]⚠[/yellow] Keeping existing configuration files\n")
return
elif choice == "backup":
self.backup_existing_configs(config_base_dir)
# Generate configurations
self.generate_orchestrators_yaml(selected_agents, agent_metadata)
self.generate_delegation_rules_yaml(
selected_agents, task_mappings, agent_metadata, primary_orchestrator
)
# Save to disk
self.save_configs(config_base_dir)
console.print("\n[green]✓[/green] Configuration files generated successfully\n")
|