tdpeuter/2026SEL3-project-Brittle_Star_Controller_Modularity
tdpeuter/2026SEL3-project-Brittle_Star_Controller_Modularity
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refactor: migrate configs from JSON to YAML

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This commit is contained in:
Tibo De Peuter 2026-04-08 20:37:47 +02:00
parent ae483b306f
commit e9b52e9e8f
Signed by: tdpeuter
SSH key fingerprint: SHA256:u/h/LVoqKF1Iz02uOyxe6hcjmoZASCGV2HM0TG9ZMoU
5 changed files with 22 additions and 28 deletions
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21
src/experiment_logger/unified_logger.py
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@ -7,9 +7,9 @@ This logger ensures all experimental data is preserved by writing to:
"""
import datetime
import json
import logging
import subprocess
import yaml
import sys
import time
from pathlib import Path
@ -99,7 +99,7 @@ class UnifiedLogger:
self.metrics_dir = self.run_dir / "metrics"
self.metrics_dir.mkdir(exist_ok=True)
self.config_file = self.run_dir / "config.json"
self.config_file = self.run_dir / "config.yaml"
# Setup standard Python logging mirror
self.text_log_file = self.run_dir / "run.log"
@ -196,7 +196,7 @@ class UnifiedLogger:
"""Save configuration to disk."""
try:
with open(self.config_file, "w") as f:
json.dump(self.config, f, indent=2)
yaml.dump(self.config, f, default_flow_style=False, indent=2, sort_keys=False)
self.info(f"Config saved to {self.config_file}")
except Exception as e:
self.error(f"Error saving config: {e}")
@ -263,10 +263,10 @@ class UnifiedLogger:
return
try:
metrics_file = self.metrics_dir / "metrics.jsonl"
metrics_file = self.metrics_dir / "metrics.yaml"
with open(metrics_file, "a") as f:
for metric in self.metrics_buffer:
# Convert numpy/jax types to native Python types for JSON serialization
# Convert numpy/jax types to native Python types for YAML serialization
serializable_metric = {}
for k, v in metric.items():
if hasattr(v, "item"): # numpy/jax scalar
@ -275,7 +275,8 @@ class UnifiedLogger:
serializable_metric[k] = v.tolist()
else:
serializable_metric[k] = v
f.write(json.dumps(serializable_metric) + "\n")
f.write("---\n")
yaml.dump(serializable_metric, f, default_flow_style=False)
self.metrics_buffer.clear()
except Exception as e:
self.error(f"Error flushing metrics: {e}")
@ -298,9 +299,9 @@ class UnifiedLogger:
# Save metadata if provided
if metadata:
metadata_path = self.checkpoints_dir / f"{prefix}_step_{step}_metadata.json"
metadata_path = self.checkpoints_dir / f"{prefix}_step_{step}_metadata.yaml"
with open(metadata_path, "w") as f:
json.dump(metadata, f, indent=2)
yaml.dump(metadata, f, default_flow_style=False)
self.info(f"Checkpoint saved: {checkpoint_path}")
@ -334,9 +335,9 @@ class UnifiedLogger:
f.write(flax.serialization.to_bytes(params))
if metadata:
metadata_path = self.run_dir / "final_model_metadata.json"
metadata_path = self.run_dir / "final_model_metadata.yaml"
with open(metadata_path, "w") as f:
json.dump(metadata, f, indent=2)
yaml.dump(metadata, f, default_flow_style=False)
self.info(f"Final model saved: {final_model_path}")