<gh_stars>10-100
import os

from sparv import Config, wizard
from sparv.core import paths, registry

__config__ = [
    Config("import.document_annotation", description="Annotation representing a document"),
    Config("import.source_dir", paths.source_dir, description="Directory containing corpus source files"),
    Config("import.importer", description="Name of importer to use"),
    Config("import.keep_control_chars", False, description="Set to True to keep control characters"),
    Config("import.normalize", "NFC", description="Normalize input using any of the following forms: "
                                                  "'NFC', 'NFKC', 'NFD', and 'NFKD'"),
    Config("import.encoding", "UTF-8", description="Encoding of source documents"),
]


@wizard(config_keys=[
    "import.importer",
    "import.source_dir"
])
def setup_wizard(_: dict):
    """Return wizard question regarding source path and input format."""
    questions = [{
        "type": "path",
        "name": "import.source_dir",
        "message": "Relative path to the current directory containing your source files:",
        "validate": lambda x: os.path.isdir(x),
        "default": paths.source_dir
    }]

    importers = []
    for module_name in registry.modules:
        for f_name, annotator in registry.modules[module_name].functions.items():
            if annotator["type"] == registry.Annotator.importer:
                importers.append((f"{module_name}:{f_name}", annotator))
    max_len = max(len(n) for n, _ in importers)
    questions.append({
        "type": "select",
        "name": "import.importer",
        "choices": [{
            "name": "{:{width}}   {description} (*.{file_extension})".format(importer_name, width=max_len, **importer),
            "value": importer_name,
        } for importer_name, importer in importers],
        "message": "Choose an importer based on your type of source files:"
    })
    return questions

import os

from sparv import Config, wizard
from sparv.core import paths, registry

__config__ = [
    Config("import.document_annotation", description="Annotation representing a document"),
    Config("import.source_dir", paths.source_dir, description="Directory containing corpus source files"),
    Config("import.importer", description="Name of importer to use"),
    Config("import.keep_control_chars", False, description="Set to True to keep control characters"),
    Config("import.normalize", "NFC", description="Normalize input using any of the following forms: "
                                                  "'NFC', 'NFKC', 'NFD', and 'NFKD'"),
    Config("import.encoding", "UTF-8", description="Encoding of source documents"),
]


@wizard(config_keys=[
    "import.importer",
    "import.source_dir"
])
def setup_wizard(_: dict):
    """Return wizard question regarding source path and input format."""
    questions = [{
        "type": "path",
        "name": "import.source_dir",
        "message": "Relative path to the current directory containing your source files:",
        "validate": lambda x: os.path.isdir(x),
        "default": paths.source_dir
    }]

    importers = []
    for module_name in registry.modules:
        for f_name, annotator in registry.modules[module_name].functions.items():
            if annotator["type"] == registry.Annotator.importer:
                importers.append((f"{module_name}:{f_name}", annotator))
    max_len = max(len(n) for n, _ in importers)
    questions.append({
        "type": "select",
        "name": "import.importer",
        "choices": [{
            "name": "{:{width}}   {description} (*.{file_extension})".format(importer_name, width=max_len, **importer),
            "value": importer_name,
        } for importer_name, importer in importers],
        "message": "Choose an importer based on your type of source files:"
    })
    return questions
Return wizard question regarding source path and input format.