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			94 lines
		
	
	
		
			3.8 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			94 lines
		
	
	
		
			3.8 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| from typing import Optional, Dict, Any, Union, List
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| from pathlib import Path
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| from wasabi import msg, table
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| from thinc.api import Config
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| from thinc.config import VARIABLE_RE
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| import typer
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| 
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| from ._util import Arg, Opt, show_validation_error, parse_config_overrides
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| from ._util import import_code, debug_cli
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| from .. import util
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| 
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| 
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| @debug_cli.command(
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|     "config",
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|     context_settings={"allow_extra_args": True, "ignore_unknown_options": True},
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| )
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| def debug_config_cli(
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|     # fmt: off
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|     ctx: typer.Context,  # This is only used to read additional arguments
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|     config_path: Path = Arg(..., help="Path to config file", exists=True),
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|     code_path: Optional[Path] = Opt(None, "--code-path", "-c", help="Path to Python file with additional code (registered functions) to be imported"),
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|     show_funcs: bool = Opt(False, "--show-functions", "-F", help="Show an overview of all registered functions used in the config and where they come from (modules, files etc.)"),
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|     show_vars: bool = Opt(False, "--show-variables", "-V", help="Show an overview of all variables referenced in the config and their values. This will also reflect variables overwritten on the CLI.")
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|     # fmt: on
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| ):
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|     """Debug a config.cfg file and show validation errors. The command will
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|     create all objects in the tree and validate them. Note that some config
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|     validation errors are blocking and will prevent the rest of the config from
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|     being resolved. This means that you may not see all validation errors at
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|     once and some issues are only shown once previous errors have been fixed.
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|     Similar as with the 'train' command, you can override settings from the config
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|     as command line options. For instance, --training.batch_size 128 overrides
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|     the value of "batch_size" in the block "[training]".
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|     """
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|     overrides = parse_config_overrides(ctx.args)
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|     import_code(code_path)
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|     debug_config(
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|         config_path, overrides=overrides, show_funcs=show_funcs, show_vars=show_vars
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|     )
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| 
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| 
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| def debug_config(
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|     config_path: Path,
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|     *,
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|     overrides: Dict[str, Any] = {},
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|     show_funcs: bool = False,
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|     show_vars: bool = False,
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| ):
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|     msg.divider("Config validation")
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|     with show_validation_error(config_path):
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|         config = util.load_config(config_path, overrides=overrides)
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|         nlp, _ = util.load_model_from_config(config)
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|     msg.good("Config is valid")
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|     if show_vars:
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|         variables = get_variables(config)
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|         msg.divider(f"Variables ({len(variables)})")
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|         head = ("Variable", "Value")
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|         msg.table(variables, header=head, divider=True, widths=(41, 34), spacing=2)
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|     if show_funcs:
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|         funcs = get_registered_funcs(config)
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|         msg.divider(f"Registered functions ({len(funcs)})")
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|         for func in funcs:
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|             func_data = {
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|                 "Registry": f"@{func['registry']}",
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|                 "Name": func["name"],
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|                 "Module": func["module"],
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|                 "File": f"{func['file']} (line {func['line_no']})",
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|             }
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|             msg.info(f"[{func['path']}]")
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|             print(table(func_data).strip())
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| 
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| 
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| def get_registered_funcs(config: Config) -> List[Dict[str, Optional[Union[str, int]]]]:
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|     result = []
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|     for key, value in util.walk_dict(config):
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|         if not key[-1].startswith("@"):
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|             continue
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|         # We have a reference to a registered function
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|         reg_name = key[-1][1:]
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|         registry = getattr(util.registry, reg_name)
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|         path = ".".join(key[:-1])
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|         info = registry.find(value)
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|         result.append({"name": value, "registry": reg_name, "path": path, **info})
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|     return result
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| 
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| 
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| def get_variables(config: Config) -> Dict[str, Any]:
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|     result = {}
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|     for variable in sorted(set(VARIABLE_RE.findall(config.to_str()))):
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|         path = variable[2:-1].replace(":", ".")
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|         value = util.dot_to_object(config, path)
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|         result[variable] = repr(value)
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|     return result
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