mirror of
https://github.com/explosion/spaCy.git
synced 2024-09-21 11:29:13 +03:00
688e77562b
* fix dash replacement in overrides arguments * perform interpolation on training config * make sure only .spacy files are read
233 lines
8.9 KiB
Python
233 lines
8.9 KiB
Python
from typing import Dict, Any, Union, List, Optional
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from pathlib import Path
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from wasabi import msg
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import srsly
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import hashlib
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import typer
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from typer.main import get_command
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from contextlib import contextmanager
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from thinc.config import Config, ConfigValidationError
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from configparser import InterpolationError
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import sys
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from ..schemas import ProjectConfigSchema, validate
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from ..util import import_file
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PROJECT_FILE = "project.yml"
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PROJECT_LOCK = "project.lock"
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COMMAND = "python -m spacy"
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NAME = "spacy"
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HELP = """spaCy Command-line Interface
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DOCS: https://spacy.io/api/cli
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"""
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PROJECT_HELP = f"""Command-line interface for spaCy projects and templates.
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You'd typically start by cloning a project template to a local directory and
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fetching its assets like datasets etc. See the project's {PROJECT_FILE} for the
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available commands.
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"""
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DEBUG_HELP = """Suite of helpful commands for debugging and profiling. Includes
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commands to check and validate your config files, training and evaluation data,
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and custom model implementations.
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"""
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INIT_HELP = """Commands for initializing configs and models."""
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# Wrappers for Typer's annotations. Initially created to set defaults and to
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# keep the names short, but not needed at the moment.
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Arg = typer.Argument
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Opt = typer.Option
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app = typer.Typer(name=NAME, help=HELP)
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project_cli = typer.Typer(name="project", help=PROJECT_HELP, no_args_is_help=True)
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debug_cli = typer.Typer(name="debug", help=DEBUG_HELP, no_args_is_help=True)
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init_cli = typer.Typer(name="init", help=INIT_HELP, no_args_is_help=True)
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app.add_typer(project_cli)
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app.add_typer(debug_cli)
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app.add_typer(init_cli)
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def setup_cli() -> None:
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# Ensure that the help messages always display the correct prompt
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command = get_command(app)
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command(prog_name=COMMAND)
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def parse_config_overrides(args: List[str]) -> Dict[str, Any]:
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"""Generate a dictionary of config overrides based on the extra arguments
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provided on the CLI, e.g. --training.batch_size to override
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"training.batch_size". Arguments without a "." are considered invalid,
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since the config only allows top-level sections to exist.
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args (List[str]): The extra arguments from the command line.
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RETURNS (Dict[str, Any]): The parsed dict, keyed by nested config setting.
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"""
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result = {}
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while args:
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opt = args.pop(0)
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err = f"Invalid CLI argument '{opt}'"
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if opt.startswith("--"): # new argument
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opt = opt.replace("--", "")
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if "." not in opt:
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msg.fail(f"{err}: can't override top-level section", exits=1)
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if "=" in opt: # we have --opt=value
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opt, value = opt.split("=", 1)
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opt = opt.replace("-", "_")
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else:
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if not args or args[0].startswith("--"): # flag with no value
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value = "true"
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else:
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value = args.pop(0)
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# Just like we do in the config, we're calling json.loads on the
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# values. But since they come from the CLI, it'd be unintuitive to
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# explicitly mark strings with escaped quotes. So we're working
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# around that here by falling back to a string if parsing fails.
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# TODO: improve logic to handle simple types like list of strings?
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try:
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result[opt] = srsly.json_loads(value)
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except ValueError:
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result[opt] = str(value)
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else:
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msg.fail(f"{err}: override option should start with --", exits=1)
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return result
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def load_project_config(path: Path) -> Dict[str, Any]:
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"""Load the project.yml file from a directory and validate it. Also make
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sure that all directories defined in the config exist.
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path (Path): The path to the project directory.
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RETURNS (Dict[str, Any]): The loaded project.yml.
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"""
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config_path = path / PROJECT_FILE
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if not config_path.exists():
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msg.fail(f"Can't find {PROJECT_FILE}", config_path, exits=1)
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invalid_err = f"Invalid {PROJECT_FILE}. Double-check that the YAML is correct."
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try:
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config = srsly.read_yaml(config_path)
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except ValueError as e:
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msg.fail(invalid_err, e, exits=1)
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errors = validate(ProjectConfigSchema, config)
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if errors:
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msg.fail(invalid_err, "\n".join(errors), exits=1)
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validate_project_commands(config)
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# Make sure directories defined in config exist
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for subdir in config.get("directories", []):
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dir_path = path / subdir
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if not dir_path.exists():
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dir_path.mkdir(parents=True)
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return config
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def validate_project_commands(config: Dict[str, Any]) -> None:
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"""Check that project commands and workflows are valid, don't contain
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duplicates, don't clash and only refer to commands that exist.
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config (Dict[str, Any]): The loaded config.
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"""
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command_names = [cmd["name"] for cmd in config.get("commands", [])]
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workflows = config.get("workflows", {})
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duplicates = set([cmd for cmd in command_names if command_names.count(cmd) > 1])
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if duplicates:
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err = f"Duplicate commands defined in {PROJECT_FILE}: {', '.join(duplicates)}"
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msg.fail(err, exits=1)
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for workflow_name, workflow_steps in workflows.items():
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if workflow_name in command_names:
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err = f"Can't use workflow name '{workflow_name}': name already exists as a command"
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msg.fail(err, exits=1)
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for step in workflow_steps:
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if step not in command_names:
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msg.fail(
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f"Unknown command specified in workflow '{workflow_name}': {step}",
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f"Workflows can only refer to commands defined in the 'commands' "
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f"section of the {PROJECT_FILE}.",
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exits=1,
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)
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def get_hash(data) -> str:
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"""Get the hash for a JSON-serializable object.
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data: The data to hash.
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RETURNS (str): The hash.
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"""
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data_str = srsly.json_dumps(data, sort_keys=True).encode("utf8")
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return hashlib.md5(data_str).hexdigest()
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def get_checksum(path: Union[Path, str]) -> str:
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"""Get the checksum for a file or directory given its file path. If a
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directory path is provided, this uses all files in that directory.
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path (Union[Path, str]): The file or directory path.
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RETURNS (str): The checksum.
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"""
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path = Path(path)
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if path.is_file():
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return hashlib.md5(Path(path).read_bytes()).hexdigest()
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if path.is_dir():
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# TODO: this is currently pretty slow
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dir_checksum = hashlib.md5()
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for sub_file in sorted(fp for fp in path.rglob("*") if fp.is_file()):
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dir_checksum.update(sub_file.read_bytes())
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return dir_checksum.hexdigest()
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raise ValueError(f"Can't get checksum for {path}: not a file or directory")
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@contextmanager
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def show_validation_error(
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file_path: Optional[Union[str, Path]] = None,
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*,
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title: str = "Config validation error",
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hint_fill: bool = True,
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):
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"""Helper to show custom config validation errors on the CLI.
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file_path (str / Path): Optional file path of config file, used in hints.
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title (str): Title of the custom formatted error.
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hint_fill (bool): Show hint about filling config.
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"""
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try:
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yield
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except (ConfigValidationError, InterpolationError) as e:
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msg.fail(title, spaced=True)
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# TODO: This is kinda hacky and we should probably provide a better
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# helper for this in Thinc
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err_text = str(e).replace("Config validation error", "").strip()
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print(err_text)
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if hint_fill and "field required" in err_text:
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config_path = file_path if file_path is not None else "config.cfg"
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msg.text(
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"If your config contains missing values, you can run the 'init "
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"fill-config' command to fill in all the defaults, if possible:",
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spaced=True,
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)
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print(f"{COMMAND} init fill-config {config_path} --base {config_path}\n")
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sys.exit(1)
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def import_code(code_path: Optional[Union[Path, str]]) -> None:
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"""Helper to import Python file provided in training commands / commands
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using the config. This makes custom registered functions available.
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"""
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if code_path is not None:
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if not Path(code_path).exists():
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msg.fail("Path to Python code not found", code_path, exits=1)
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try:
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import_file("python_code", code_path)
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except Exception as e:
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msg.fail(f"Couldn't load Python code: {code_path}", e, exits=1)
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def get_sourced_components(config: Union[Dict[str, Any], Config]) -> List[str]:
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"""RETURNS (List[str]): All sourced components in the original config,
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e.g. {"source": "en_core_web_sm"}. If the config contains a key
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"factory", we assume it refers to a component factory.
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"""
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return [
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name
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for name, cfg in config.get("components", {}).items()
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if "factory" not in cfg and "source" in cfg
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]
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