File size: 8,356 Bytes
7f611c5 | 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 | """
Monitor callback factory for the discovery loop.
Creates a callback function that serializes program data
and pushes it to the MonitorServer for live broadcasting.
"""
import logging
import time
from typing import Any, Callable, Dict, Optional
from skydiscover.extras.monitor.server import MonitorServer
logger = logging.getLogger(__name__)
SOLUTION_SNIPPET_LENGTH = 500
def create_monitor_callback(
server: MonitorServer,
database: Any,
start_time: float,
) -> Callable:
"""Create an iteration callback that pushes program data to the monitor server."""
def _callback(program: Any, iteration: int, result: Any = None) -> None:
"""Push a new program event to the monitor. Never raises."""
try:
_push_program_event(server, database, program, iteration, result, start_time)
except Exception:
# Never crash discovery process due to monitor
logger.debug("Monitor callback error", exc_info=True)
return _callback
def _push_program_event(
server: MonitorServer,
database: Any,
program: Any,
iteration: int,
result: Any,
start_time: float,
) -> None:
"""Serialize program data and push to the monitor server."""
metrics = program.metrics or {}
score = metrics.get("combined_score", 0.0)
if not isinstance(score, (int, float)):
score = 0.0
parent_id = getattr(program, "parent_id", None)
parent_score = None
parent_iter = None
parent_solution = ""
if parent_id:
parent_prog = database.get(parent_id) if hasattr(database, "get") else None
if parent_prog:
parent_metrics = parent_prog.metrics or {}
parent_score = parent_metrics.get("combined_score")
parent_iter = getattr(parent_prog, "iteration_found", None)
parent_solution = getattr(parent_prog, "solution", "")
context_ids = getattr(program, "other_context_ids", None) or []
context_scores = []
for cid in context_ids:
cp = database.get(cid) if hasattr(database, "get") else None
if cp and cp.metrics:
context_scores.append(cp.metrics.get("combined_score"))
else:
context_scores.append(None)
# Label type from parent_info or metadata
label_type = None
parent_info = getattr(program, "parent_info", None)
if parent_info and isinstance(parent_info, (list, tuple)) and len(parent_info) >= 1:
label_str = str(parent_info[0]).lower()
if "diverge" in label_str:
label_type = "diverge"
elif "refine" in label_str:
label_type = "refine"
elif "crossover" in label_str:
label_type = "crossover"
md = getattr(program, "metadata", {}) or {}
if label_type is None:
label_type = md.get("label_type", "unknown")
island = md.get("island")
is_best = getattr(database, "best_program_id", None) == program.id
# Solution snippet (first N chars)
code = getattr(program, "solution", "") or ""
solution_snippet = code[:SOLUTION_SNIPPET_LENGTH]
# Image path from metadata (image evolution mode)
image_path = (getattr(program, "metadata", {}) or {}).get("image_path")
total_programs = len(database.programs) if hasattr(database, "programs") else 0
best_prog = database.get_best_program() if hasattr(database, "get_best_program") else None
best_score = 0.0
if best_prog and best_prog.metrics:
best_score = best_prog.metrics.get("combined_score", 0.0)
elapsed = time.time() - start_time
rate = total_programs / elapsed * 60 if elapsed > 0 else 0.0
iters_since_improvement = 0
if best_prog:
best_iter = getattr(best_prog, "iteration_found", 0)
iters_since_improvement = iteration - best_iter
prog_data = {
"id": program.id,
"iteration": iteration,
"score": score,
"metrics": _safe_metrics(metrics),
"parent_id": parent_id,
"parent_score": parent_score,
"parent_iter": parent_iter,
"context_ids": context_ids,
"context_scores": context_scores,
"label_type": label_type,
"solution_snippet": solution_snippet,
"island": island,
"is_best": is_best,
"generation": getattr(program, "generation", 0),
"image_path": image_path,
}
stats = {
"total_programs": total_programs,
"current_iteration": iteration,
"best_score": best_score,
"iterations_since_improvement": iters_since_improvement,
"programs_per_min": round(rate, 1),
"elapsed_seconds": round(elapsed, 1),
}
event = {
"type": "new_program",
"program": prog_data,
"stats": stats,
"is_best": is_best,
"full_solution": code[: server.max_solution_length],
"parent_full_solution": (
parent_solution[: server.max_solution_length] if parent_solution else ""
),
}
server.push_event(event)
def create_external_callback(
server: MonitorServer,
start_time: float,
) -> Callable:
"""Create a monitor callback for external backends (no ProgramDatabase needed).
Maintains its own lightweight program store for parent lookups and best tracking.
Used by OpenEvolve, ShinkaEvolve, and GEPA backends.
"""
programs: Dict[str, Any] = {}
best_score = -float("inf")
best_id: Optional[str] = None
def _callback(program: Any, iteration: int) -> None:
nonlocal best_score, best_id
try:
programs[program.id] = program
score = (program.metrics or {}).get("combined_score", 0.0)
if not isinstance(score, (int, float)):
score = 0.0
if score > best_score:
best_score = score
best_id = program.id
is_best = program.id == best_id
parent_id = getattr(program, "parent_id", None)
parent_score, parent_solution = None, ""
if parent_id and parent_id in programs:
p = programs[parent_id]
parent_score = (p.metrics or {}).get("combined_score")
parent_solution = getattr(p, "solution", "")
code = getattr(program, "solution", "") or ""
elapsed = time.time() - start_time
prog_data = {
"id": program.id,
"iteration": iteration,
"score": score,
"metrics": _safe_metrics(program.metrics or {}),
"parent_id": parent_id,
"parent_score": parent_score,
"parent_iter": None,
"context_ids": [],
"context_scores": [],
"label_type": "unknown",
"solution_snippet": code[:SOLUTION_SNIPPET_LENGTH],
"island": None,
"is_best": is_best,
"generation": getattr(program, "generation", 0),
"image_path": (getattr(program, "metadata", {}) or {}).get("image_path"),
}
stats = {
"total_programs": len(programs),
"current_iteration": iteration,
"best_score": best_score if best_score > -float("inf") else 0.0,
"iterations_since_improvement": 0,
"programs_per_min": round(len(programs) / elapsed * 60, 1) if elapsed > 0 else 0.0,
"elapsed_seconds": round(elapsed, 1),
}
event = {
"type": "new_program",
"program": prog_data,
"stats": stats,
"is_best": is_best,
"full_solution": code[: server.max_solution_length],
"parent_full_solution": (
parent_solution[: server.max_solution_length] if parent_solution else ""
),
}
server.push_event(event)
except Exception:
logger.debug("External monitor callback error", exc_info=True)
return _callback
def _safe_metrics(metrics: Dict[str, Any]) -> Dict[str, Any]:
"""Return a JSON-safe copy of metrics."""
safe = {}
for k, v in metrics.items():
if isinstance(v, (int, float, str, bool, type(None))):
safe[k] = v
else:
safe[k] = str(v)
return safe
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