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Merge pull request #58 from SELab-3-2026/feat/wandb_download_project

feat: added script to download all runs in a given project
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RobinMeersman 2026-05-19 10:08:32 +02:00 committed by GitHub
commit 7040764107
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4 changed files with 175 additions and 21 deletions

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@ -182,7 +182,7 @@ def plot_grouped_bar(
color="w",
markerfacecolor=BEST_PERFORMER_COLOR,
markersize=15,
label="Best Performance",
# label="Best Performance",
ls="",
)
ax.legend(**LEGEND_KWARGS, ncol=len(architectures) + 1)
@ -317,7 +317,7 @@ def plot_grouped_bar_alt(
color="w",
markerfacecolor=BEST_PERFORMER_COLOR,
markersize=15,
label="Best Performance",
# label="Best Performance",
ls="",
)
ax.legend(**LEGEND_KWARGS, ncol=len(morphologies) + 1)

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@ -45,19 +45,22 @@ class Columns(str, Enum):
"""Column names expected in every evaluation CSV."""
ARCH = "architecture"
TIMESTEPS = "total_trained_timesteps"
REWARD = "accumulated_reward"
TIMESTEPS = "trained_timesteps"
REWARD = "eval_return"
VELOCITY = "velocity"
EVAL_STEPS = "eval_steps"
FINAL_XY_DIST = "final_xy_dist"
INITIAL_XY_DIST = "initial_xy_dist"
REACHED_TARGET = "reached_target"
# Maps architecture display names to the path of their evaluation CSV.
# Update these paths once real evaluation data is available.
FILE_MAPPING: dict[str, str] = {
"centralized 2 arms": "runs/dummy/dummy_centralized_2_arms.csv",
"centralized 5 arms": "runs/dummy/dummy_centralized_5_arms.csv",
"decentralized fully connected": "runs/dummy/dummy_decentralized_fully_connected.csv",
"decentralized ring-level": "runs/dummy/dummy_decentralized_ring-level.csv",
"decentralized segment-level": "runs/dummy/dummy_decentralized_segment-level.csv",
# "centralized 2 arms": "runs/dummy/dummy_centralized_2_arms.csv",
"centralized 5 arms": "runs/final-v2-centralized/checkpoint_evaluation.csv",
"decentralized fully connected": "runs/final-v2-fully-conn/checkpoint_evaluation.csv",
"decentralized ring-level": "runs/final-v2-ring/checkpoint_evaluation.csv",
}
# Architecture profiles for dummy data generation: (max_reward, max_velocity, sigmoid_speed)
@ -108,7 +111,13 @@ def load_metrics(file_mapping: dict[str, str]) -> pd.DataFrame:
Loads one CSV per architecture, injects the architecture name as a column,
and returns the combined DataFrame with only the required columns.
"""
required = [Columns.TIMESTEPS, Columns.REWARD, Columns.VELOCITY]
required = [
Columns.TIMESTEPS,
Columns.REWARD,
Columns.INITIAL_XY_DIST,
Columns.FINAL_XY_DIST,
Columns.EVAL_STEPS,
]
dfs = []
for arch_name, filepath in file_mapping.items():
@ -125,6 +134,10 @@ def load_metrics(file_mapping: dict[str, str]) -> pd.DataFrame:
df = df[required].copy()
df[Columns.ARCH] = arch_name
df[Columns.VELOCITY] = (df[Columns.INITIAL_XY_DIST] - df[Columns.FINAL_XY_DIST]) / df[
Columns.EVAL_STEPS
]
dfs.append(df)
return pd.concat(dfs, ignore_index=True) if dfs else pd.DataFrame()
@ -303,6 +316,7 @@ def plot_results(df: pd.DataFrame, results: pd.DataFrame, output_dir: str, **kwa
def obtain_data() -> pd.DataFrame:
"""Resolves the file mapping, falling back to generated dummy CSVs if needed."""
global USING_DUMMY_DATA
if not any(os.path.exists(p) for p in FILE_MAPPING.values()):
logger.info("No real evaluation files found. Generating dummy CSVs at expected locations.")
generate_dummy_csvs(FILE_MAPPING)

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@ -4,26 +4,24 @@ import matplotlib.pyplot as plt
# Shared Color Palette (Colorblind friendly, high contrast)
# Matches poster design
COLORS = {
"CENTRALIZED": "#2B4162", # Deep Slate Blue
"FULLY_CONNECTED": "#FA9F42", # Vibrant Orange
"RING_LEVEL": "#4E937A", # Muted Teal
"SEGMENT_LEVEL": "#B4436C", # Soft Red
"DECENTRALIZED": "#4E937A", # Default decentralized fallback
"CENTRALIZED": "#0D567C", # Blue
"FULLY_CONNECTED": "#8C0E0F", # Reddish
"RING_LEVEL": "#E1BA6D", # Pale Yellow
}
def apply_style(font_size=28):
def apply_style(font_size=36):
"""
Applies the shared typography and aesthetic settings to Matplotlib.
"""
plt.rcParams.update(
{
"font.size": font_size,
"axes.labelsize": font_size + 4,
"axes.titlesize": font_size + 8,
"xtick.labelsize": font_size - 4,
"ytick.labelsize": font_size - 4,
"legend.fontsize": font_size - 6,
"axes.labelsize": font_size,
"axes.titlesize": font_size,
"xtick.labelsize": font_size,
"ytick.labelsize": font_size,
"legend.fontsize": font_size,
"axes.linewidth": 2,
"axes.spines.top": False,
"axes.spines.right": False,

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@ -0,0 +1,142 @@
from pathlib import Path
from concurrent.futures import ThreadPoolExecutor, as_completed
import threading
import wandb
import argparse
# tune these depending on network / W&B limits
MAX_RUN_WORKERS = 8
MAX_FILE_WORKERS = 16
MAX_ARTIFACT_WORKERS = 8
api = wandb.Api()
print_lock = threading.Lock()
def safe_print(*args, **kwargs):
with print_lock:
print(*args, **kwargs)
def download_file(file, run_dir):
target = run_dir / file.name
try:
# skip existing files
if target.exists():
return f"SKIP FILE {target}"
target.parent.mkdir(parents=True, exist_ok=True)
file.download(root=run_dir, replace=False)
return f"DONE FILE {target}"
except Exception as e:
return f"FAIL FILE {target}: {e}"
def sanitize_artifact_name(name: str):
return name.replace(":", "_")
def download_artifact(artifact, artifact_root):
try:
artifact_name = sanitize_artifact_name(artifact.name)
artifact_dir = artifact_root / artifact_name
if artifact_dir.exists() and any(artifact_dir.iterdir()):
return f"SKIP ARTIFACT {artifact.name}"
artifact_dir.mkdir(parents=True, exist_ok=True)
artifact.download(root=artifact_dir)
return f"DONE ARTIFACT {artifact.name}"
except Exception as e:
return f"FAIL ARTIFACT {artifact.name}: {e}"
def download_run(run, root):
run_dir = root / f"{run.name}"
run_dir.mkdir(parents=True, exist_ok=True)
safe_print(f"\n=== {run.name} ({run.id}) ===")
# -------------------------
# Download regular run files
# -------------------------
files = list(run.files())
with ThreadPoolExecutor(max_workers=MAX_FILE_WORKERS) as executor:
futures = [executor.submit(download_file, file, run_dir) for file in files]
for future in as_completed(futures):
safe_print(future.result())
# -------------------------
# Download logged artifacts
# -------------------------
artifact_root = run_dir / "artifacts"
try:
artifacts = list(run.logged_artifacts())
safe_print(f"Found {len(artifacts)} artifacts for {run.name}")
with ThreadPoolExecutor(max_workers=MAX_ARTIFACT_WORKERS) as executor:
futures = [
executor.submit(download_artifact, artifact, artifact_root)
for artifact in artifacts
]
for future in as_completed(futures):
safe_print(future.result())
except Exception as e:
safe_print(f"Artifact download failed for {run.name}: {e}")
# -------------------------
# OPTIONAL: download used/input artifacts
# -------------------------
# try:
# used_artifacts = list(run.used_artifacts())
# used_root = run_dir / "used_artifacts"
#
# for artifact in used_artifacts:
# download_artifact(artifact, used_root)
# except Exception as e:
# safe_print(f"Used artifact download failed: {e}")
safe_print(f"Finished {run.name}")
def main(entity: str, project: str, root: Path):
root.mkdir(exist_ok=True)
runs = list(api.runs(f"{entity}/{project}"))
safe_print(f"Found {len(runs)} runs")
with ThreadPoolExecutor(max_workers=MAX_RUN_WORKERS) as executor:
futures = [executor.submit(download_run, run, root) for run in runs]
for future in as_completed(futures):
try:
future.result()
except Exception as e:
safe_print("RUN FAILED:", e)
safe_print("\nAll downloads complete.")
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--entity", type=str, default="SEL3-2026-Groep-4")
parser.add_argument("--project", type=str, required=True)
parser.add_argument("--root", type=str, default="runs")
args = parser.parse_args()
root = Path(args.root)
main(entity=args.entity, project=args.project, root=root)