yqi19's picture
Upload RoboLab motion-planning code only
81c7a5f verified
Raw
History Blame Contribute Delete
23.5 kB
# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
import glob
import json
import os
import sys
from pathlib import Path
from typing import List, Union
import h5py
import numpy as np
import yaml
# from isaaclab.utils.datasets import episode_data
def find_usd_files(
path: Union[str, Path],
extension: str = None,
recursive: bool = True,
exclude_underscore_dirs: bool = True,
exclude_materials: bool = True
) -> List[Path]:
"""
Find USD files in a directory.
Args:
path: File or directory path to search
extension: Specific extension to find (e.g., '.usd', '.usda').
If None, finds all USD types (.usd, .usda, .usdc, .usdz)
recursive: Search subdirectories recursively
exclude_underscore_dirs: Skip directories starting with '_'
exclude_materials: Skip 'materials' directories
Returns:
Sorted list of Path objects to USD files
"""
path = Path(path)
if path.is_file():
if extension is None or path.suffix.lower() == extension.lower():
return [path]
return []
if not path.is_dir():
return []
# Determine extensions to search
if extension:
extensions = [extension]
else:
extensions = ['.usd', '.usda', '.usdc', '.usdz']
usd_files = []
for ext in extensions:
pattern = f"**/*{ext}" if recursive else f"*{ext}"
for file_path in path.glob(pattern):
if not file_path.is_file():
continue
# Get relative path parts (excluding filename)
try:
rel_parts = file_path.relative_to(path).parts[:-1]
except ValueError:
rel_parts = ()
# Apply exclusion filters
if exclude_underscore_dirs and any(part.startswith('_') for part in rel_parts):
continue
if exclude_materials and any(part.lower() == 'materials' for part in rel_parts):
continue
usd_files.append(file_path)
return sorted(set(usd_files))
# Helper function to convert file paths based on path_type
def convert_file_path(filepath: str, path_type: str, output_dir: str = None) -> str:
"""Convert file paths based on the specified path_type."""
if not isinstance(filepath, str):
return str(filepath)
# Check if this looks like a file path (absolute or with file extension)
is_file_path = (os.path.isabs(filepath) or
any(filepath.endswith(ext) for ext in ['.py', '.usd', '.usda', '.usdc', '.usdz', '.json', '.csv', '.md', '.txt', '.yaml', '.yml']))
if not is_file_path:
return filepath
if path_type == "absolute":
# Keep as-is
return filepath
elif path_type == "relative":
# Convert absolute paths to relative paths
if os.path.isabs(filepath):
try:
relative_path = os.path.relpath(filepath, output_dir)
# Normalize path separators for markdown (use forward slashes)
return relative_path.replace(os.sep, '/')
except ValueError:
# If conversion fails (e.g., different drives on Windows), return original
return filepath
return filepath
elif path_type == "filename_only":
# Extract just the filename
return os.path.basename(filepath)
else:
# Invalid path_type, return as-is
return filepath
def get_relative_path(input_path: str, relative_path: str) -> str:
"""Get the relative path of a file from a search directory to a relative directory."""
# Get the absolute path of the search directory
search_path = os.path.abspath(input_path)
# Get the absolute path of the relative directory
relative_path = os.path.abspath(relative_path)
# Get the relative path of the file from the search directory to the relative directory
return os.path.relpath(search_path, relative_path)
def load_hdf5_episode(filepath: str, episode: int) -> dict:
"""Load episode from an HDF5 file."""
# Check if file exists
if not os.path.exists(filepath):
raise FileNotFoundError(f"File not found: {filepath}")
with h5py.File(filepath, 'r') as f:
data = f.get('data')
if data is not None:
ep = data.get(f'demo_{episode}')
# Copy all sub-datasets into a dict of numpy arrays
episode_data = {}
for name, ds in ep.items():
# ds[()] reads the full dataset into memory
episode_data[name] = ds[()]
else:
raise ValueError(f"Episode {episode} not found in {filepath}")
return episode_data
def load_hdf5_episode_data(filepath: str, episode: int, key: str) -> np.ndarray:
"""Load actions from an HDF5 file."""
with h5py.File(filepath, 'r') as f:
data = f.get('data')
ep = data.get(f'demo_{episode}')
if ep is not None:
actions = ep.get(key)
# Only copy "actions" into an np array
actions = ep.get(key)[()]
else:
raise ValueError(f"Episode {episode} not found in {filepath}")
return actions
def load_param_file(file_path: str, parent_dir: str = None) -> dict:
file_path = validate_file_path(file_path, parent_dir)
if file_path.endswith(".yaml"):
with open(file_path, "r") as file:
data = yaml.safe_load(file)
if data is None:
raise ValueError(f"File '{file_path}' is invalid")
elif file_path.endswith(".json"):
with open(file_path, "r") as f:
data = json.load(f)
else:
raise ValueError(
f"File '{file_path}' is an unsupported type; supported types: [json/yaml]"
)
return data
def load_file(file_path: str):
"""Load a file from a path."""
file_path = validate_file_path(file_path)
if file_path.endswith(".json"):
try:
with open(file_path, "r") as f:
return json.load(f)
except json.JSONDecodeError:
raise ValueError(f"File '{file_path}' is not a valid JSON file")
elif file_path.endswith(".yaml"):
try:
with open(file_path, "r") as f:
return yaml.safe_load(f)
except yaml.YAMLError:
raise ValueError(f"File '{file_path}' is not a valid YAML file")
else:
raise ValueError(f"File '{file_path}' is an unsupported type; supported types: [json/yaml]")
def validate_file_extension(file_path: str, ext: str) -> str:
"""
Ensures that the given filepath has the correct extension.
Args:
filepath (str): The file path or filename.
ext (str): The required extension, with or without a leading dot.
Returns:
str: The filepath with the correct extension if it was missing or incorrect.
"""
# Ensure extension starts with a dot
if not ext.startswith("."):
ext = "." + ext
# Extract current file extension
base, current_ext = os.path.splitext(file_path)
# Check if the extension matches
if current_ext.lower() != ext.lower():
return base + ext
return file_path
def validate_file_path(file_path: str, parent_dir: str = None) -> str:
"""
Checks if the file exists. If the path is not absolute, prepends the parent directory.
Args:
file_path (str): The file path to check.
parent_dir (str): The parent directory to use if the path is not absolute.
Returns:
str: The absolute file path if the file exists, otherwise raises an error.
"""
if not os.path.isabs(file_path):
if parent_dir is not None:
file_path = os.path.join(parent_dir, file_path)
else:
raise ValueError(
f"File is not an absolute filepath: {file_path} and no parent is specified"
)
if os.path.exists(file_path):
return os.path.abspath(file_path)
else:
raise FileNotFoundError(f"File does not exist: {file_path}")
def get_filename_without_extension(filepath: str) -> str:
"""Returns the filename only, without the extension or the full filepath."""
return os.path.basename(filepath).split(".")[0]
def find_ext(dir: str, ext: Union[str, List[str]], full_filepath=True, recursive=True):
"""Given a directory and an extension, return all valid files matching that extension.
Args:
dir: valid directory path
ext (str or list of str): an extension, starting with the dot.
full_filepath (bool): If the list of paths should specify the full filepath.
recursive (bool): if the directory should be crawled recursively
"""
# Check that directory is a valid directory
if not os.path.isdir(dir):
raise FileNotFoundError(
f"Directory {dir} does not exist. Did you provide the correct path?"
)
# Check if a single extension or a list of extensions are provided
if isinstance(ext, str):
single_ext = True
elif all(isinstance(e, str) for e in ext):
single_ext = False
else:
raise ValueError("Argument 'ext' needs to be of type str or list of str.")
# Iterate through directories
ext_files = []
iterator = os.walk(dir) if recursive else ((next(os.walk(dir))),)
for root, dirs, files in iterator:
for file in files:
# Check for all the possible extensions.
for e in ext if not single_ext else [ext]:
if file.lower().endswith(e):
filepath = os.path.join(root, file) if full_filepath else file
ext_files.append(filepath)
return ext_files
def check_ext(file: str, ext: Union[str, List[str]]) -> bool:
"""checks a full filepath is indeed a file and has the correct extension. Returns True if the file is of the type of extension specified.
Args:
file (str): a full filepath to the file to be examined.
ext (str or list of str): acceptable extensions, wit or without the dot.
"""
path = Path(file)
# First check if file is valid
if not path.is_file():
raise FileNotFoundError(f"Specified file '{file}' is not a valid file.")
# Check if a single extension or a list of extensions are provided
if isinstance(ext, str):
single_ext = True
elif all(isinstance(e, str) for e in ext):
single_ext = False
else:
raise ValueError("Argument 'ext' needs to be of type str or list of str.")
# Check ext against a set of possible extensions.
for e in ext if not single_ext else [ext]:
if e.startswith("."):
if path.suffix == e:
return True
else:
if path.suffix == "." + e:
return True
return False
def h5tree(filepath):
"""Prints a tree of the data in the file."""
with h5py.File(filepath, "r") as hf:
print(f"{os.path.basename(filepath)}")
h5tree_recurse(hf)
def h5tree_recurse(val, pre=""):
"""The recursive function for printing a data tree. You can call this function directly with the h5py file."""
items = len(val)
for key, val in val.items():
items -= 1
if items == 0:
# the last item
if isinstance(val, h5py._hl.group.Group):
print(f"{pre}└── {key}")
# print(pre + '└── ' + key)
h5tree_recurse(val, pre + " ")
else:
print(f"{pre}└── {key} {val.shape}")
# print(pre + '└── ' + key + ' (%d)' % len(val))
else:
if isinstance(val, h5py._hl.group.Group):
print(f"{pre}├── {key}")
# print(pre + '├── ' + key)
h5tree_recurse(val, pre + "│ ")
else:
print(f"{pre}├── {key} {val.shape}")
# print(pre + '├── ' + key + ' (%d)' % len(val))
def save_json(data: dict | list, filepath: str | Path, indent: int = 2) -> None:
"""Write data to a JSON file.
Args:
data: Serializable data (dict or list).
filepath: Destination path (str or Path).
indent: JSON indentation level.
"""
with open(filepath, "w") as f:
json.dump(data, f, indent=indent)
def write_dict_to_json(key: str, data_dict: dict, filepath: str):
"""Write a dictionary to file with a specific key.
Note, the heading will be replaced if it already exists.
The json file must be a single dictionary with subheadings:
{
"key1": {
"subkey1": value1,
"subkey2": value2
},
"key2": [
...
]
}
"""
data = dict()
# Check if file exists. If so, load the existing data from it.
if os.path.isfile(filepath):
with open(filepath, "r") as json_file:
data = json.load(json_file)
if not isinstance(data, dict):
raise ValueError(
"The json file provided must contain a single dictionary."
)
# Replace data with key with the current dict.
data[key] = data_dict
# Write to file.
with open(filepath, "w") as json_file:
json.dump(data, json_file, indent=2)
print(f"'{key}' written to {filepath}")
return
def get_latest_subdirectory(parent_dir) -> str:
"""Returns the latest modified subdirectory"""
if not os.path.isdir(parent_dir):
raise ValueError(f"Parent directory does not exist: {parent_dir}")
all_subdirs = [
os.path.join(parent_dir, d)
for d in os.listdir(parent_dir)
if os.path.isdir(os.path.join(parent_dir, d))
]
latest_subdir = max(all_subdirs, key=os.path.getmtime)
return latest_subdir
def get_incremented_filepath(filepath):
"""
Get an incremented filepath if the filepath already exists in that directory.
Args:
filepath (str): The base filepath (including extension).
Returns:
str: A unique filepath with an incremented suffix.
"""
if not os.path.exists(filepath):
return filepath
base, ext = os.path.splitext(filepath)
i = 1
new_filepath = f"{base}_{i}{ext}"
while os.path.exists(new_filepath):
i += 1
new_filepath = f"{base}_{i}{ext}"
return new_filepath
def get_list_of_files_with_extension(
dir: str, ext: Union[str, List], recursive: bool = False
) -> List[str]:
if not os.path.isdir(dir):
raise ValueError(f"Directory '{dir}' is not a valid directory")
if isinstance(ext, str):
ext = [ext]
# Make sure all extensions start with a dot
ext = [
extension if extension.startswith(".") else "." + extension for extension in ext
]
file_paths = []
if recursive:
# Walk through the directory and its subdirectories
for root, dirs, files in os.walk(dir):
for file in files:
# Check if the file ends with any of the specified extensions
if any(file.endswith(extension) for extension in ext):
# Construct the full path and add to the list
file_paths.append(os.path.join(root, file))
else:
# Only walk through the current level directory
folder_items = os.listdir(dir)
for file in folder_items:
if any(file.endswith(extension) for extension in ext):
file_paths.append(os.path.join(dir, file))
return file_paths
def expand_folder_patterns(
patterns: list[str],
base_dir: str | None = None,
) -> tuple[list[str], bool]:
"""Expand glob patterns to matching directory paths.
Each pattern can be a literal path or a glob (e.g., 'pi0_*'). Resolution order
for a relative pattern:
1. As-given (CWD-relative) — standard CLI behavior.
2. base_dir-prepended fallback (only if (1) had no matches and base_dir is set) —
preserves shorthand like `pi0_*` resolving to `<base_dir>/pi0_*`.
Args:
patterns: Folder names or glob patterns.
base_dir: Optional fallback base directory used only when CWD-relative
resolution finds no matches.
Returns:
(deduplicated list of directory paths, whether any pattern was expanded)
"""
folders: list[str] = []
pattern_expanded = False
for pattern in patterns:
candidates: list[str] = []
if os.path.isabs(pattern):
candidates.append(pattern)
else:
candidates.append(pattern)
if base_dir is not None:
candidates.append(os.path.join(base_dir, pattern))
matches: list[str] = []
full_pattern = candidates[0]
for cand in candidates:
cand_matches = sorted(glob.glob(cand))
cand_matches = [m for m in cand_matches if os.path.isdir(m)]
if cand_matches:
full_pattern = cand
matches = cand_matches
break
if matches:
if len(matches) > 1 or matches[0] != full_pattern:
pattern_expanded = True
folders.extend(os.path.abspath(m) for m in matches)
else:
folders.append(os.path.abspath(full_pattern))
seen: set[str] = set()
unique: list[str] = []
for f in folders:
real = os.path.realpath(f)
if real not in seen:
seen.add(real)
unique.append(f)
return unique, pattern_expanded
def confirm_folders(
folders: list[str],
default_yes: bool = True,
) -> list[str]:
"""Prompt user to confirm a folder selection.
Args:
folders: Candidate folder paths.
default_yes: When True the default action (Enter) includes all folders;
when False the default action aborts.
Returns:
Confirmed folders, or an empty list if the user aborts.
"""
if default_yes:
prompt = "\nInclude all? [Y/n/s] (s=select individually): "
else:
prompt = "Proceed with these folders? [y/N/s] (s=select individually): "
if not sys.stdin.isatty():
if default_yes:
print(f"{prompt}[non-interactive stdin: auto-including all {len(folders)} folder(s)]")
return folders
else:
print(f"{prompt}[non-interactive stdin: aborting]")
return []
while True:
response = input(prompt).strip().lower()
if response == "":
if default_yes:
return folders
else:
print("Aborted.")
return []
elif response == "y":
return folders
elif response == "n":
print("Aborted.")
return []
elif response == "s":
confirmed: list[str] = []
for folder in folders:
name = os.path.basename(folder)
while True:
r = input(f" Include '{name}'? [Y/n]: ").strip().lower()
if r in ("", "y"):
confirmed.append(folder)
break
elif r == "n":
break
else:
print(" Please enter 'y' or 'n'")
if not confirmed:
print("No folders selected.")
return []
print(f"\nSelected {len(confirmed)} folder(s):")
for f in confirmed:
print(f" - {os.path.basename(f)}")
return confirmed
else:
print("Please enter 'y', 'n', or 's'")
def get_folders_in_dir(dir: str) -> List[str]:
if not os.path.isdir(dir):
raise ValueError(f"Directory '{dir}' is not a valid directory")
folder_items = os.listdir(dir)
folders = [
instance
for instance in folder_items
if os.path.isdir(os.path.join(dir, instance))
]
return folders
def get_filename(filepath, without_extension: bool = True) -> str:
filename = os.path.basename(filepath)
if without_extension:
return os.path.splitext(filename)[0]
else:
return filename
def get_filepath_with_extensions(dir: str, filename: str, ext: Union[str, List]):
"""
Gets a file with names with a set of acceptable extensions. If both are available, it returns the first ext instead.
"""
if isinstance(ext, str):
ext = [ext]
# Make sure all extensions start with a dot
ext = [
extension if extension.startswith(".") else "." + extension for extension in ext
]
# Check if the current file exists, and if so, return the full file path directly
if any(filename.endswith(extension) for extension in ext) and os.path.isfile(
os.path.join(dir, filename)
):
return os.path.join(dir, filename)
# strip the extension and search for other files with the same name and same extension
filename_wo_ext = get_filename(filename, without_extension=True)
for extension in ext:
# Check if each file exists
path = os.path.join(dir, filename_wo_ext + extension)
if os.path.isfile(path):
print(f"Found alternative file '{filename_wo_ext + extension}'.")
return path
err = f"Provided file name {filename} cannot be found in directory {dir} with an valid extension. Valid extensions: {ext}"
raise FileNotFoundError(err)
def write_class_params_to_file(obj, filepath):
import json
"""
Saves only the values of parameters defined in the __init__ method
of the given object's class to a JSON file.
Parameters:
- obj: The object whose `__init__` parameters will be saved.
- filepath: The JSON file to write the parameters to.
"""
init_values = get_class_params_as_dict(obj)
# Write the result to a JSON file
with open(filepath, "w") as f:
json.dump(init_values, f, indent=4)
def get_class_params_as_dict(obj) -> dict:
"""
Saves only the values of parameters defined in the __init__ method
of the given object's class to a JSON file.
Parameters:
- obj: The object whose `__init__` parameters will be saved.
- filepath: The JSON file to write the parameters to.
"""
import inspect
# Get the `__init__` method of the class
init_method = getattr(obj.__class__, "__init__", None)
if not init_method:
raise ValueError(
f"The class {obj.__class__.__name__} does not have an __init__ method."
)
# Get the parameter names from the `__init__` method, excluding 'self'
init_params = inspect.signature(init_method).parameters
init_param_names = [param for param in init_params if param != "self"]
# Filter instance attributes based on the `__init__` parameters
# init_values = {key: getattr(obj, key) for key in init_param_names if hasattr(obj, key)}
init_values = {}
for key in init_param_names:
if hasattr(obj, key):
value = getattr(obj, key)
try:
# Test if the value is serializable
json.dumps(value)
init_values[key] = value
except (TypeError, ValueError):
# Skip unserializable values
continue
return init_values