diff --git a/.gitignore b/.gitignore index 07377ae..e66a8b6 100644 --- a/.gitignore +++ b/.gitignore @@ -1,3 +1,6 @@ +# Ignore vscode settings +.vscode/ + # Ignore example dataset storage generated in tutorial **/pod_data/ diff --git a/.vscode/settings.json b/.vscode/settings.json deleted file mode 100644 index fb3c2bc..0000000 --- a/.vscode/settings.json +++ /dev/null @@ -1,41 +0,0 @@ -{ - "editor.formatOnPaste": false, - "editor.formatOnSave": true, - "notebook.formatOnSave.enabled": true, - "notebook.output.scrolling": true, - "editor.rulers": [ - 88 - ], - "[python]": { - "editor.defaultFormatter": "ms-python.black-formatter" - }, - "[markdown]": { - "editor.defaultFormatter": null - }, - "workbench.editorAssociations": { - "*.md": "vscode.markdown.preview.editor" - }, - "files.autoSave": "off", - "jupyter.kernels.excludePythonEnvironments": [ - "/bin/python3", - "/usr/bin/python3", - "/usr/local/bin/python" - ], - "python.defaultInterpreterPath": "/home/vscode/.local/share/base/bin/python", - "python.terminal.activateEnvironment": false, - "gitlens.showWelcomeOnInstall": false, - "gitlens.showWhatsNewAfterUpgrades": false, - "launch": { - "version": "0.2.0", - "configurations": [ - { - "name": "Python", - "type": "debugpy", - "request": "launch", - "console": "integratedTerminal", - "justMyCode": false, - "program": "${file}", - } - ] - }, -} \ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml index 3161f18..c640ca9 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -34,3 +34,6 @@ where = ["src"] [tool.setuptools_scm] version_file = "src/orcabridge/_version.py" + +[dependency-groups] +dev = ["ruff>=0.11.11"] diff --git a/src/orcabridge/__init__.py b/src/orcabridge/__init__.py index 7a6f6c2..d58891e 100644 --- a/src/orcabridge/__init__.py +++ b/src/orcabridge/__init__.py @@ -1,4 +1,3 @@ -from .tracker import Tracker from . import hashing from . import pod from . import mapper @@ -9,10 +8,11 @@ from .pod import FunctionPod, function_pod from .source import GlobSource from .store import DirDataStore, SafeDirDataStore +from .tracker import GraphTracker -DEFAULT_TRACKER = Tracker() +DEFAULT_TRACKER = GraphTracker() DEFAULT_TRACKER.activate() diff --git a/src/orcabridge/dj/mapper.py b/src/orcabridge/dj/mapper.py index 40a4237..1450f4e 100644 --- a/src/orcabridge/dj/mapper.py +++ b/src/orcabridge/dj/mapper.py @@ -3,7 +3,6 @@ from ..mapper import Mapper, Join, MapPackets, MapTags from typing import Optional import warnings -from .source import QuerySource class QueryMapper(QueryOperation, Mapper): diff --git a/src/orcabridge/dj/tracker.py b/src/orcabridge/dj/tracker.py index 1b89d24..8db180d 100644 --- a/src/orcabridge/dj/tracker.py +++ b/src/orcabridge/dj/tracker.py @@ -1,6 +1,6 @@ from orcabridge.tracker import GraphTracker from datajoint import Schema -from typing import List, Collection, Tuple, Optional, Any +from typing import Collection, Tuple, Optional, Any from types import ModuleType import networkx as nx @@ -13,7 +13,6 @@ from .operation import QueryOperation from .pod import TableCachedPod from .mapper import convert_to_query_mapper -import datajoint as dj import sys from collections import defaultdict diff --git a/src/orcabridge/file.py b/src/orcabridge/file.py index 6260f65..84b04e6 100644 --- a/src/orcabridge/file.py +++ b/src/orcabridge/file.py @@ -3,7 +3,7 @@ import inspect import os from pathlib import Path -from typing import Callable, Dict, Optional, Sequence, Tuple, Union +from typing import Callable, Collection, Dict, Optional, Tuple, Union from orcabridge.types import Packet, PathSet diff --git a/src/orcabridge/hashing/__init__.py b/src/orcabridge/hashing/__init__.py index ebab3a9..1b5bac6 100644 --- a/src/orcabridge/hashing/__init__.py +++ b/src/orcabridge/hashing/__init__.py @@ -1,13 +1,14 @@ -from .hashing import ( +from .core import ( hash_file, hash_pathset, hash_packet, hash_to_hex, hash_to_int, hash_to_uuid, - hash_function, - get_function_signature, HashableMixin, + function_content_hash, + get_function_signature, + hash_function ) __all__ = [ @@ -19,5 +20,6 @@ "hash_to_uuid", "hash_function", "get_function_signature", + "function_content_hash", "HashableMixin", ] diff --git a/src/orcabridge/hashing/hashing.py b/src/orcabridge/hashing/core.py similarity index 99% rename from src/orcabridge/hashing/hashing.py rename to src/orcabridge/hashing/core.py index 2a97e14..71d1211 100644 --- a/src/orcabridge/hashing/hashing.py +++ b/src/orcabridge/hashing/core.py @@ -7,7 +7,6 @@ """ import hashlib -import inspect import json import logging from uuid import UUID @@ -18,10 +17,10 @@ Union, Collection, Mapping, - Callable, TypeVar, Set, - Literal, + Callable, + Literal ) from pathlib import Path from os import PathLike @@ -29,6 +28,7 @@ import zlib from orcabridge.types import PathSet, Packet from orcabridge.utils.name import find_noncolliding_name +import inspect # Configure logging with __name__ for proper hierarchy logger = logging.getLogger(__name__) @@ -310,7 +310,7 @@ def hash_to_hex(obj: Any, char_count: Optional[int] = 32) -> str: # Try standard JSON first json_str = json.dumps(processed, sort_keys=True).encode("utf-8") logger.info( - f"Successfully used standard JSON serialization as fallback" + "Successfully used standard JSON serialization as fallback" ) except (TypeError, ValueError) as json_err: # If JSON also fails, use simple string representation @@ -495,7 +495,7 @@ def _process_structure(obj: Any, visited: Optional[Set[int]] = None) -> Any: else: # Get basic repr but remove memory addresses logger.debug( - f"Object has no __dict__, using repr() with memory address removal" + "Object has no __dict__, using repr() with memory address removal" ) obj_repr = repr(obj) if len(obj_repr) > 1000: @@ -512,7 +512,7 @@ def _process_structure(obj: Any, visited: Optional[Set[int]] = None) -> Any: logger.warning(f"Failed to process object representation: {e}") try: return f"Object-{obj.__class__.__module__}.{obj.__class__.__name__}" - except: + except AttributeError: logger.error( "Could not determine object class, using UnknownObject" ) @@ -522,6 +522,244 @@ def _process_structure(obj: Any, visited: Optional[Set[int]] = None) -> Any: # Function hashing utilities +# Legacy compatibility functions + + +def hash_dict(d: NestedDict) -> UUID: + """ + Hash a dictionary with stable results across sessions. + + Args: + d: The dictionary to hash (can be arbitrarily nested) + + Returns: + A UUID hash of the dictionary + """ + return hash_to_uuid(d) + + +def stable_hash(s: Any) -> int: + """ + Create a stable hash that returns the same integer value across sessions. + + Args: + s: The object to hash + + Returns: + An integer hash + """ + return hash_to_int(s) + + +# Hashing of packets and PathSet + + +class PathSetHasher: + def __init__(self, char_count=32): + self.char_count = char_count + + def hash_pathset(self, pathset: PathSet) -> str: + if isinstance(pathset, str) or isinstance(pathset, PathLike): + pathset = Path(pathset) + if not pathset.exists(): + raise FileNotFoundError(f"Path {pathset} does not exist") + if pathset.is_dir(): + # iterate over all entries in the directory include subdirectory (single step) + hash_dict = {} + for entry in pathset.iterdir(): + file_name = find_noncolliding_name(entry.name, hash_dict) + hash_dict[file_name] = self.hash_pathset(entry) + return hash_to_hex(hash_dict, char_count=self.char_count) + else: + # it's a file, hash it directly + return hash_file(pathset) + + if isinstance(pathset, Collection): + hash_dict = {} + for path in pathset: + file_name = find_noncolliding_name(Path(path).name, hash_dict) + hash_dict[file_name] = self.hash_pathset(path) + return hash_to_hex(hash_dict, char_count=self.char_count) + + raise ValueError(f"PathSet of type {type(pathset)} is not supported") + + def hash_file(self, filepath) -> str: ... + + def id(self) -> str: ... + + +def hash_packet_with_psh( + packet: Packet, algo: PathSetHasher, prefix_algorithm: bool = True +) -> str: + """ + Generate a hash for a packet based on its content. + + Args: + packet: The packet to hash + algorithm: The algorithm to use for hashing + prefix_algorithm: Whether to prefix the hash with the algorithm name + + Returns: + A hexadecimal digest of the packet's content + """ + hash_results = {} + for key, pathset in packet.items(): + hash_results[key] = algo.hash_pathset(pathset) + + packet_hash = hash_to_hex(hash_results) + + if prefix_algorithm: + # Prefix the hash with the algorithm name + packet_hash = f"{algo.id()}-{packet_hash}" + + return packet_hash + + +def hash_packet( + packet: Packet, + algorithm: str = "sha256", + buffer_size: int = 65536, + char_count: Optional[int] = 32, + prefix_algorithm: bool = True, +) -> str: + """ + Generate a hash for a packet based on its content. + + Args: + packet: The packet to hash + + Returns: + A hexadecimal digest of the packet's content + """ + hash_results = {} + for key, pathset in packet.items(): + hash_results[key] = hash_pathset( + pathset, algorithm=algorithm, buffer_size=buffer_size + ) + + packet_hash = hash_to_hex(hash_results, char_count=char_count) + + if prefix_algorithm: + # Prefix the hash with the algorithm name + packet_hash = f"{algorithm}-{packet_hash}" + + return packet_hash + + +def hash_pathset( + pathset: PathSet, + algorithm="sha256", + buffer_size=65536, + char_count: Optional[int] = 32, +) -> str: + """ + Generate hash of the pathset based primarily on the content of the files. + If the pathset is a collection of files or a directory, the name of the file + will be included in the hash calculation. + + Currently only support hashing of Pathset if Pathset points to a single file. + """ + if isinstance(pathset, str) or isinstance(pathset, PathLike): + pathset = Path(pathset) + if not pathset.exists(): + raise FileNotFoundError(f"Path {pathset} does not exist") + if pathset.is_dir(): + # iterate over all entries in the directory include subdirectory (single step) + hash_dict = {} + for entry in pathset.iterdir(): + file_name = find_noncolliding_name(entry.name, hash_dict) + hash_dict[file_name] = hash_pathset( + entry, + algorithm=algorithm, + buffer_size=buffer_size, + char_count=char_count, + ) + return hash_to_hex(hash_dict, char_count=char_count) + else: + # it's a file, hash it directly + return hash_file( + pathset, algorithm=algorithm, buffer_size=buffer_size + ) + + if isinstance(pathset, Collection): + hash_dict = {} + for path in pathset: + file_name = find_noncolliding_name(Path(path).name, hash_dict) + hash_dict[file_name] = hash_pathset( + path, + algorithm=algorithm, + buffer_size=buffer_size, + char_count=char_count, + ) + return hash_to_hex(hash_dict, char_count=char_count) + + +def hash_file(file_path, algorithm="sha256", buffer_size=65536) -> str: + """ + Calculate the hash of a file using the specified algorithm. + + Parameters: + file_path (str): Path to the file to hash + algorithm (str): Hash algorithm to use - options include: + 'md5', 'sha1', 'sha256', 'sha512', 'xxh64', 'crc32', 'hash_path' + buffer_size (int): Size of chunks to read from the file at a time + + Returns: + str: Hexadecimal digest of the hash + """ + # Verify the file exists + if not Path(file_path).is_file(): + raise FileNotFoundError(f"The file {file_path} does not exist") + + # Handle special case for 'hash_path' algorithm + if algorithm == "hash_path": + # Hash the name of the file instead of its content + # This is useful for cases where the file content is well known or + # not relevant + return hash_to_hex(file_path) + + # Handle non-cryptographic hash functions + if algorithm == "xxh64": + hasher = xxhash.xxh64() + with open(file_path, "rb") as file: + while True: + data = file.read(buffer_size) + if not data: + break + hasher.update(data) + return hasher.hexdigest() + + if algorithm == "crc32": + crc = 0 + with open(file_path, "rb") as file: + while True: + data = file.read(buffer_size) + if not data: + break + crc = zlib.crc32(data, crc) + return format(crc & 0xFFFFFFFF, "08x") # Convert to hex string + + # Handle cryptographic hash functions from hashlib + try: + hasher = hashlib.new(algorithm) + except ValueError: + valid_algorithms = ", ".join(sorted(hashlib.algorithms_available)) + raise ValueError( + f"Invalid algorithm: {algorithm}. Available algorithms: {valid_algorithms}, xxh64, crc32" + ) + + with open(file_path, "rb") as file: + while True: + data = file.read(buffer_size) + if not data: + break + hasher.update(data) + + return hasher.hexdigest() + return hasher.hexdigest() + + + def get_function_signature( func: Callable, include_defaults: bool = True, include_module: bool = True ) -> str: @@ -565,40 +803,19 @@ def get_function_signature( return " ".join(parts) -def function_content_hash( - func: Callable, - include_name: bool = True, - include_module: bool = True, - include_declaration: bool = True, - char_count: Optional[int] = 32, -) -> str: - """ - Compute a stable hash based on a function's source code and other properties. - - Args: - func: The function to hash - include_name: Whether to include the function name in the hash - include_module: Whether to include the module name in the hash - include_declaration: Whether to include the function declaration line - char_count: Number of characters to include in the result - - Returns: - A hex string hash of the function's content - """ - logger.debug(f"Generating content hash for function '{func.__name__}'") - components = get_function_components( - func, - include_name=include_name, - include_module=include_module, - include_declaration=include_declaration, - ) - - # Join all components and compute hash - combined = "\n".join(components) - logger.debug( - f"Function components joined, length: {len(combined)} characters" - ) - return hash_to_hex(combined, char_count=char_count) +def _is_in_string(line, pos): + """Helper to check if a position in a line is inside a string literal.""" + # This is a simplified check - would need proper parsing for robust handling + in_single = False + in_double = False + for i in range(pos): + if line[i] == "'" and not in_double and (i == 0 or line[i - 1] != "\\"): + in_single = not in_single + elif ( + line[i] == '"' and not in_single and (i == 0 or line[i - 1] != "\\") + ): + in_double = not in_double + return in_single or in_double def get_function_components( @@ -680,14 +897,14 @@ def get_function_components( components.append(f"source:{source}") - except (IOError, TypeError) as e: + except (IOError, TypeError): # If source can't be retrieved, fall back to signature components.append(f"name:{func.__name__}") try: sig = inspect.signature(func) components.append(f"signature:{str(sig)}") except ValueError: - components.append(f"builtin:True") + components.append("builtin:True") # Add function annotations if requested if ( @@ -713,19 +930,40 @@ def get_function_components( return components -def _is_in_string(line, pos): - """Helper to check if a position in a line is inside a string literal.""" - # This is a simplified check - would need proper parsing for robust handling - in_single = False - in_double = False - for i in range(pos): - if line[i] == "'" and not in_double and (i == 0 or line[i - 1] != "\\"): - in_single = not in_single - elif ( - line[i] == '"' and not in_single and (i == 0 or line[i - 1] != "\\") - ): - in_double = not in_double - return in_single or in_double +def function_content_hash( + func: Callable, + include_name: bool = True, + include_module: bool = True, + include_declaration: bool = True, + char_count: Optional[int] = 32, +) -> str: + """ + Compute a stable hash based on a function's source code and other properties. + + Args: + func: The function to hash + include_name: Whether to include the function name in the hash + include_module: Whether to include the module name in the hash + include_declaration: Whether to include the function declaration line + char_count: Number of characters to include in the result + + Returns: + A hex string hash of the function's content + """ + logger.debug(f"Generating content hash for function '{func.__name__}'") + components = get_function_components( + func, + include_name=include_name, + include_module=include_module, + include_declaration=include_declaration, + ) + + # Join all components and compute hash + combined = "\n".join(components) + logger.debug( + f"Function components joined, length: {len(combined)} characters" + ) + return hash_to_hex(combined, char_count=char_count) def hash_function( @@ -794,240 +1032,4 @@ def hash_function( raise ValueError(err_msg) logger.debug(f"Generated hash value as {return_type}: {hash_value}") - return hash_value - - -# Legacy compatibility functions - - -def hash_dict(d: NestedDict) -> UUID: - """ - Hash a dictionary with stable results across sessions. - - Args: - d: The dictionary to hash (can be arbitrarily nested) - - Returns: - A UUID hash of the dictionary - """ - return hash_to_uuid(d) - - -def stable_hash(s: Any) -> int: - """ - Create a stable hash that returns the same integer value across sessions. - - Args: - s: The object to hash - - Returns: - An integer hash - """ - return hash_to_int(s) - - -# Hashing of packets and PathSet - - -class PathSetHasher: - def __init__(self, char_count=32): - self.char_count = char_count - - def hash_pathset(self, pathset: PathSet) -> str: - if isinstance(pathset, str) or isinstance(pathset, PathLike): - pathset = Path(pathset) - if not pathset.exists(): - raise FileNotFoundError(f"Path {pathset} does not exist") - if pathset.is_dir(): - # iterate over all entries in the directory include subdirectory (single step) - hash_dict = {} - for entry in pathset.iterdir(): - file_name = find_noncolliding_name(entry.name, hash_dict) - hash_dict[file_name] = self.hash_pathset(entry) - return hash_to_hex(hash_dict, char_count=self.char_count) - else: - # it's a file, hash it directly - return hash_file(pathset) - - if isinstance(pathset, Collection): - hash_dict = {} - for path in pathset: - file_name = find_noncolliding_name(Path(path).name, hash_dict) - hash_dict[file_name] = self.hash_pathset(path) - return hash_to_hex(hash_dict, char_count=self.char_count) - - raise ValueError(f"PathSet of type {type(pathset)} is not supported") - - def hash_file(self, filepath) -> str: ... - - def id(self) -> str: ... - - -def hash_packet_with_psh( - packet: Packet, algo: PathSetHasher, prefix_algorithm: bool = True -) -> str: - """ - Generate a hash for a packet based on its content. - - Args: - packet: The packet to hash - algorithm: The algorithm to use for hashing - prefix_algorithm: Whether to prefix the hash with the algorithm name - - Returns: - A hexadecimal digest of the packet's content - """ - hash_results = {} - for key, pathset in packet.items(): - hash_results[key] = algo.hash_pathset(pathset) - - packet_hash = hash_to_hex(hash_results) - - if prefix_algorithm: - # Prefix the hash with the algorithm name - packet_hash = f"{algo.id()}-{packet_hash}" - - return packet_hash - - -def hash_packet( - packet: Packet, - algorithm: str = "sha256", - buffer_size: int = 65536, - char_count: Optional[int] = 32, - prefix_algorithm: bool = True, -) -> str: - """ - Generate a hash for a packet based on its content. - - Args: - packet: The packet to hash - - Returns: - A hexadecimal digest of the packet's content - """ - hash_results = {} - for key, pathset in packet.items(): - hash_results[key] = hash_pathset( - pathset, algorithm=algorithm, buffer_size=buffer_size - ) - - packet_hash = hash_to_hex(hash_results, char_count=char_count) - - if prefix_algorithm: - # Prefix the hash with the algorithm name - packet_hash = f"{algorithm}-{packet_hash}" - - return packet_hash - - -def hash_pathset( - pathset: PathSet, - algorithm="sha256", - buffer_size=65536, - char_count: Optional[int] = 32, -) -> str: - """ - Generate hash of the pathset based primarily on the content of the files. - If the pathset is a collection of files or a directory, the name of the file - will be included in the hash calculation. - - Currently only support hashing of Pathset if Pathset points to a single file. - """ - if isinstance(pathset, str) or isinstance(pathset, PathLike): - pathset = Path(pathset) - if not pathset.exists(): - raise FileNotFoundError(f"Path {pathset} does not exist") - if pathset.is_dir(): - # iterate over all entries in the directory include subdirectory (single step) - hash_dict = {} - for entry in pathset.iterdir(): - file_name = find_noncolliding_name(entry.name, hash_dict) - hash_dict[file_name] = hash_pathset( - entry, - algorithm=algorithm, - buffer_size=buffer_size, - char_count=char_count, - ) - return hash_to_hex(hash_dict, char_count=char_count) - else: - # it's a file, hash it directly - return hash_file( - pathset, algorithm=algorithm, buffer_size=buffer_size - ) - - if isinstance(pathset, Collection): - hash_dict = {} - for path in pathset: - file_name = find_noncolliding_name(Path(path).name, hash_dict) - hash_dict[file_name] = hash_pathset( - path, - algorithm=algorithm, - buffer_size=buffer_size, - char_count=char_count, - ) - return hash_to_hex(hash_dict, char_count=char_count) - - -def hash_file(file_path, algorithm="sha256", buffer_size=65536) -> str: - """ - Calculate the hash of a file using the specified algorithm. - - Parameters: - file_path (str): Path to the file to hash - algorithm (str): Hash algorithm to use - options include: - 'md5', 'sha1', 'sha256', 'sha512', 'xxh64', 'crc32', 'hash_path' - buffer_size (int): Size of chunks to read from the file at a time - - Returns: - str: Hexadecimal digest of the hash - """ - # Verify the file exists - if not Path(file_path).is_file(): - raise FileNotFoundError(f"The file {file_path} does not exist") - - # Handle special case for 'hash_path' algorithm - if algorithm == "hash_path": - # Hash the name of the file instead of its content - # This is useful for cases where the file content is well known or - # not relevant - return hash_to_hex(file_path) - - # Handle non-cryptographic hash functions - if algorithm == "xxh64": - hasher = xxhash.xxh64() - with open(file_path, "rb") as file: - while True: - data = file.read(buffer_size) - if not data: - break - hasher.update(data) - return hasher.hexdigest() - - if algorithm == "crc32": - crc = 0 - with open(file_path, "rb") as file: - while True: - data = file.read(buffer_size) - if not data: - break - crc = zlib.crc32(data, crc) - return format(crc & 0xFFFFFFFF, "08x") # Convert to hex string - - # Handle cryptographic hash functions from hashlib - try: - hasher = hashlib.new(algorithm) - except ValueError: - valid_algorithms = ", ".join(sorted(hashlib.algorithms_available)) - raise ValueError( - f"Invalid algorithm: {algorithm}. Available algorithms: {valid_algorithms}, xxh64, crc32" - ) - - with open(file_path, "rb") as file: - while True: - data = file.read(buffer_size) - if not data: - break - hasher.update(data) - - return hasher.hexdigest() + return hash_value \ No newline at end of file diff --git a/src/orcabridge/hashing/function.py b/src/orcabridge/hashing/function.py new file mode 100644 index 0000000..244e10b --- /dev/null +++ b/src/orcabridge/hashing/function.py @@ -0,0 +1,7 @@ +# Provides functions for hashing of a Python function +import inspect +from typing import Callable, Literal +from uuid import UUID + +from .core import hash_to_hex, hash_to_int, hash_to_uuid, logger + diff --git a/src/orcabridge/mapper.py b/src/orcabridge/mapper.py index 5849f89..bb5e84a 100644 --- a/src/orcabridge/mapper.py +++ b/src/orcabridge/mapper.py @@ -7,9 +7,8 @@ Tuple, Iterator, Collection, - Any, ) -from orcabridge.base import Operation, SyncStream, Mapper +from orcabridge.base import SyncStream, Mapper from orcabridge.stream import SyncStreamFromGenerator from orcabridge.utils.stream_utils import ( join_tags, @@ -17,7 +16,7 @@ batch_tag, batch_packet, ) -from orcabridge.hashing import hash_function +from orcabridge.hashing import hash_function, function_content_hash from .types import Tag, Packet from itertools import chain @@ -485,7 +484,7 @@ def __init__( super().__init__() self.batch_size = batch_size if tag_processor is None: - tag_processor = lambda tags: batch_tag(tags) + tag_processor = lambda tags: batch_tag(tags) # noqa: E731 self.tag_processor = tag_processor self.drop_last = drop_last diff --git a/src/orcabridge/py.typed b/src/orcabridge/py.typed new file mode 100644 index 0000000..e69de29 diff --git a/src/orcabridge/store/dir_data_store.py b/src/orcabridge/store/dir_data_store.py index 3940933..01f1777 100644 --- a/src/orcabridge/store/dir_data_store.py +++ b/src/orcabridge/store/dir_data_store.py @@ -1,5 +1,5 @@ -from ..types import Tag, Packet -from typing import Optional, Collection +from orcabridge.types import Packet +from typing import Optional from pathlib import Path from orcabridge.hashing import hash_packet import shutil @@ -156,9 +156,9 @@ def retrieve_memoized( logger.info( f"Supplemented source for packet {packet} at {source_path}" ) - except: + except (IOError, json.JSONDecodeError) as e: logger.error( - f"Error loading memoized output for packet {packet} from {info_path}" + f"Error loading memoized output for packet {packet} from {info_path}: {e}" ) return None return output_packet diff --git a/src/orcabridge/store/file_ops.py b/src/orcabridge/store/file_ops.py index 16c7d3e..fb46f65 100644 --- a/src/orcabridge/store/file_ops.py +++ b/src/orcabridge/store/file_ops.py @@ -1,10 +1,9 @@ # file_ops.py - Atomic file operations module import os -import time import logging from pathlib import Path -from typing import Union, Optional, Tuple +from typing import Union, Tuple logger = logging.getLogger(__name__) diff --git a/src/orcabridge/store/safe_dir_data_store.py b/src/orcabridge/store/safe_dir_data_store.py index 10c0e32..1017153 100644 --- a/src/orcabridge/store/safe_dir_data_store.py +++ b/src/orcabridge/store/safe_dir_data_store.py @@ -4,12 +4,11 @@ import time import json import logging -import threading import fcntl import errno from pathlib import Path from contextlib import contextmanager -from typing import Optional, Dict, Any, Union +from typing import Optional, Union from .file_ops import atomic_write, atomic_copy @@ -237,7 +236,7 @@ def memoize( logger.info(f"Entry already exists for packet {packet}") return self.retrieve_memoized(store_name, content_hash, packet) except FileLockError: - logger.warning(f"Could not acquire shared lock to check completion status") + logger.warning("Could not acquire shared lock to check completion status") # Continue to try with exclusive lock # Now try to acquire an exclusive lock for writing diff --git a/src/orcabridge/stream.py b/src/orcabridge/stream.py index 3dc8f7a..88d5188 100644 --- a/src/orcabridge/stream.py +++ b/src/orcabridge/stream.py @@ -1,8 +1,5 @@ from typing import ( - Generator, Tuple, - Dict, - Any, Callable, Iterator, Optional, diff --git a/src/orcabridge/tracker.py b/src/orcabridge/tracker.py index 2d2b72f..f8a0d4a 100644 --- a/src/orcabridge/tracker.py +++ b/src/orcabridge/tracker.py @@ -1,5 +1,4 @@ -import threading -from typing import Dict, Collection, List +from typing import Dict, Collection import networkx as nx from orcabridge.base import Operation, Invocation, Tracker import matplotlib.pyplot as plt diff --git a/src/orcabridge/types.py b/src/orcabridge/types.py index 55af3d3..098e4d0 100644 --- a/src/orcabridge/types.py +++ b/src/orcabridge/types.py @@ -1,18 +1,18 @@ from typing import Union, Tuple, Protocol, Mapping, Collection, Optional -from pathlib import Path from typing_extensions import TypeAlias import os # Convenience alias for anything pathlike PathLike = Union[str, bytes, os.PathLike] -# arbitrary depth of nested list of strings or None -L: TypeAlias = Union[str, None, Collection[Optional[str]]] +# an (optional) string or a collection of (optional) string values +TagValue: TypeAlias = Union[Optional[str], Collection[Optional[str]]] # the top level tag is a mapping from string keys to values that can be a string or # an arbitrary depth of nested list of strings or None -Tag: TypeAlias = Mapping[str, Union[str, L]] +Tag: TypeAlias = Mapping[str, Union[str, TagValue]] + # a pathset is a path or an arbitrary depth of nested list of paths diff --git a/src/orcabridge/utils/name.py b/src/orcabridge/utils/name.py index db46918..ba2c4f0 100644 --- a/src/orcabridge/utils/name.py +++ b/src/orcabridge/utils/name.py @@ -3,10 +3,6 @@ """ import re -import inspect -import pickle -import types -import ast def find_noncolliding_name(name: str, lut: dict) -> str: diff --git a/src/orcabridge/utils/stream_utils.py b/src/orcabridge/utils/stream_utils.py index ada32e1..a981587 100644 --- a/src/orcabridge/utils/stream_utils.py +++ b/src/orcabridge/utils/stream_utils.py @@ -2,15 +2,10 @@ Utility functions for handling tags """ -from _collections_abc import dict_keys from typing import ( - List, - Dict, Optional, - Any, TypeVar, Set, - Union, Sequence, Mapping, Collection, diff --git a/tests/test_hashing/generate_file_hashes.py b/tests/test_hashing/generate_file_hashes.py index 2a8b587..57a5e4d 100644 --- a/tests/test_hashing/generate_file_hashes.py +++ b/tests/test_hashing/generate_file_hashes.py @@ -7,7 +7,6 @@ then computes and records their hashes in a JSON lookup table file. """ -import os import json import random import string diff --git a/tests/test_hashing/generate_hash_examples.py b/tests/test_hashing/generate_hash_examples.py index 585a6ac..bd266c1 100644 --- a/tests/test_hashing/generate_hash_examples.py +++ b/tests/test_hashing/generate_hash_examples.py @@ -3,9 +3,7 @@ # throughout the tests to ensure consistent hashing behavior across different runs # and revision of the codebase. -import os import json -import uuid from pathlib import Path from collections import OrderedDict from datetime import datetime diff --git a/tests/test_hashing/reorganize_files.py b/tests/test_hashing/reorganize_files.py deleted file mode 100644 index b34406f..0000000 --- a/tests/test_hashing/reorganize_files.py +++ /dev/null @@ -1,69 +0,0 @@ -#!/usr/bin/env python -# filepath: /home/eywalker/workspace/orcabridge/tests/test_hashing/reorganize_files.py -""" -Reorganize files in the test_hashing directory. - -This script moves files from their current locations to the new -organized directory structure within hash_samples. -""" - -import os -import shutil -from pathlib import Path - - -def reorganize_files(): - """Move files to their new locations.""" - # Get the current directory - current_dir = Path(__file__).parent - - # Create hash_samples directory if it doesn't exist - hash_samples_dir = current_dir / "hash_samples" - hash_samples_dir.mkdir(exist_ok=True) - - # Create subdirectories - data_structures_dir = hash_samples_dir / "data_structures" - data_structures_dir.mkdir(exist_ok=True) - - file_samples_dir = hash_samples_dir / "file_samples" - file_samples_dir.mkdir(exist_ok=True) - - # Move existing hash examples to data_structures - for file in hash_samples_dir.glob("hash_examples_*.json"): - target_path = data_structures_dir / file.name - print( - f"Moving {file.relative_to(current_dir)} to {target_path.relative_to(current_dir)}" - ) - shutil.move(str(file), str(target_path)) - - # Move sample files to file_samples - sample_files_dir = current_dir / "sample_files" - if sample_files_dir.exists(): - for file in sample_files_dir.glob("*"): - target_path = file_samples_dir / file.name - print( - f"Moving {file.relative_to(current_dir)} to {target_path.relative_to(current_dir)}" - ) - shutil.move(str(file), str(target_path)) - - # Remove the old directory if empty - if not list(sample_files_dir.glob("*")): - print( - f"Removing empty directory {sample_files_dir.relative_to(current_dir)}" - ) - sample_files_dir.rmdir() - - # Move file_hash_lut.json - file_hash_lut = current_dir / "file_hash_lut.json" - if file_hash_lut.exists(): - target_path = hash_samples_dir / "file_hash_lut.json" - print( - f"Moving {file_hash_lut.relative_to(current_dir)} to {target_path.relative_to(current_dir)}" - ) - shutil.move(str(file_hash_lut), str(target_path)) - - print("File reorganization complete!") - - -if __name__ == "__main__": - reorganize_files() diff --git a/tests/test_hashing/test_basic_hashing.py 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