from typing import Optional, Union, Any, Dict, List
import shutil
from pathlib import Path
from wasabi import Printer, get_raw_input
import srsly
import sys

from ._util import app, Arg, Opt
from ..schemas import validate, ModelMetaSchema
from .. import util
from .. import about


@app.command("package")
def package_cli(
    # fmt: off
    input_dir: Path = Arg(..., help="Directory with pipeline data", exists=True, file_okay=False),
    output_dir: Path = Arg(..., help="Output parent directory", exists=True, file_okay=False),
    code_paths: Optional[str] = Opt(None, "--code", "-c", help="Comma-separated paths to Python file with additional code (registered functions) to be included in the package"),
    meta_path: Optional[Path] = Opt(None, "--meta-path", "--meta", "-m", help="Path to meta.json", exists=True, dir_okay=False),
    create_meta: bool = Opt(False, "--create-meta", "-c", "-C", help="Create meta.json, even if one exists"),
    name: Optional[str] = Opt(None, "--name", "-n", help="Package name to override meta"),
    version: Optional[str] = Opt(None, "--version", "-v", help="Package version to override meta"),
    no_sdist: bool = Opt(False, "--no-sdist", "-NS", help="Don't build .tar.gz sdist, can be set if you want to run this step manually"),
    wheel: bool = Opt(False, "--wheel", "-W", help="Build a binary .whl instead of a .tar.gz archive for more efficient installation (requires wheel to be installed)"),
    force: bool = Opt(False, "--force", "-f", "-F", help="Force overwriting existing data in output directory"),
    # fmt: on
):
    """
    Generate an installable Python package for a pipeline. Includes binary data,
    meta and required installation files. A new directory will be created in the
    specified output directory, and the data will be copied over. If
    --create-meta is set and a meta.json already exists in the output directory,
    the existing values will be used as the defaults in the command-line prompt.
    After packaging, "python setup.py sdist" is run in the package directory,
    which will create a .tar.gz archive that can be installed via "pip install".

    If additional code files are provided (e.g. Python files containing custom
    registered functions like pipeline components), they are copied into the
    package and imported in the __init__.py.

    DOCS: https://nightly.spacy.io/api/cli#package
    """
    code_paths = (
        [Path(p.strip()) for p in code_paths.split(",")]
        if code_paths is not None
        else []
    )
    package(
        input_dir,
        output_dir,
        meta_path=meta_path,
        code_paths=code_paths,
        name=name,
        version=version,
        create_meta=create_meta,
        create_sdist=not no_sdist and not wheel,
        create_wheel=wheel,
        force=force,
        silent=False,
    )


def package(
    input_dir: Path,
    output_dir: Path,
    meta_path: Optional[Path] = None,
    code_paths: List[Path] = [],
    name: Optional[str] = None,
    version: Optional[str] = None,
    create_meta: bool = False,
    create_sdist: bool = True,
    create_wheel: bool = False,
    force: bool = False,
    silent: bool = True,
) -> None:
    msg = Printer(no_print=silent, pretty=not silent)
    input_path = util.ensure_path(input_dir)
    output_path = util.ensure_path(output_dir)
    meta_path = util.ensure_path(meta_path)
    if create_wheel and not has_wheel():
        err = "Generating a binary .whl file requires wheel to be installed"
        msg.fail(err, "pip install wheel", exits=1)
    if not input_path or not input_path.exists():
        msg.fail("Can't locate pipeline data", input_path, exits=1)
    if not output_path or not output_path.exists():
        msg.fail("Output directory not found", output_path, exits=1)
    for code_path in code_paths:
        if not code_path.exists():
            msg.fail("Can't find code file", code_path, exits=1)
        # Import the code here so it's available when model is loaded (via
        # get_meta helper). Also verifies that everything works
        util.import_file(code_path.stem, code_path)
    if code_paths:
        msg.good(f"Including {len(code_paths)} Python module(s) with custom code")
    if meta_path and not meta_path.exists():
        msg.fail("Can't find pipeline meta.json", meta_path, exits=1)
    meta_path = meta_path or input_dir / "meta.json"
    if not meta_path.exists() or not meta_path.is_file():
        msg.fail("Can't load pipeline meta.json", meta_path, exits=1)
    meta = srsly.read_json(meta_path)
    meta = get_meta(input_dir, meta)
    if name is not None:
        meta["name"] = name
    if version is not None:
        meta["version"] = version
    if not create_meta:  # only print if user doesn't want to overwrite
        msg.good("Loaded meta.json from file", meta_path)
    else:
        meta = generate_meta(meta, msg)
    errors = validate(ModelMetaSchema, meta)
    if errors:
        msg.fail("Invalid pipeline meta.json")
        print("\n".join(errors))
        sys.exit(1)
    model_name = meta["lang"] + "_" + meta["name"]
    model_name_v = model_name + "-" + meta["version"]
    main_path = output_dir / model_name_v
    package_path = main_path / model_name
    if package_path.exists():
        if force:
            shutil.rmtree(str(package_path))
        else:
            msg.fail(
                "Package directory already exists",
                "Please delete the directory and try again, or use the "
                "`--force` flag to overwrite existing directories.",
                exits=1,
            )
    Path.mkdir(package_path, parents=True)
    shutil.copytree(str(input_dir), str(package_path / model_name_v))
    license_path = package_path / model_name_v / "LICENSE"
    if license_path.exists():
        shutil.move(str(license_path), str(main_path))
    imports = []
    for code_path in code_paths:
        imports.append(code_path.stem)
        shutil.copy(str(code_path), str(package_path))
    create_file(main_path / "meta.json", srsly.json_dumps(meta, indent=2))
    create_file(main_path / "setup.py", TEMPLATE_SETUP)
    create_file(main_path / "MANIFEST.in", TEMPLATE_MANIFEST)
    init_py = TEMPLATE_INIT.format(
        imports="\n".join(f"from . import {m}" for m in imports)
    )
    create_file(package_path / "__init__.py", init_py)
    msg.good(f"Successfully created package '{model_name_v}'", main_path)
    if create_sdist:
        with util.working_dir(main_path):
            util.run_command([sys.executable, "setup.py", "sdist"], capture=False)
        zip_file = main_path / "dist" / f"{model_name_v}.tar.gz"
        msg.good(f"Successfully created zipped Python package", zip_file)
    if create_wheel:
        with util.working_dir(main_path):
            util.run_command([sys.executable, "setup.py", "bdist_wheel"], capture=False)
        wheel = main_path / "dist" / f"{model_name_v}-py3-none-any.whl"
        msg.good(f"Successfully created binary wheel", wheel)


def has_wheel() -> bool:
    try:
        import wheel  # noqa: F401

        return True
    except ImportError:
        return False


def create_file(file_path: Path, contents: str) -> None:
    file_path.touch()
    file_path.open("w", encoding="utf-8").write(contents)


def get_meta(
    model_path: Union[str, Path], existing_meta: Dict[str, Any]
) -> Dict[str, Any]:
    meta = {
        "lang": "en",
        "name": "pipeline",
        "version": "0.0.0",
        "description": "",
        "author": "",
        "email": "",
        "url": "",
        "license": "MIT",
    }
    meta.update(existing_meta)
    nlp = util.load_model_from_path(Path(model_path))
    meta["spacy_version"] = util.get_model_version_range(about.__version__)
    meta["vectors"] = {
        "width": nlp.vocab.vectors_length,
        "vectors": len(nlp.vocab.vectors),
        "keys": nlp.vocab.vectors.n_keys,
        "name": nlp.vocab.vectors.name,
    }
    if about.__title__ != "spacy":
        meta["parent_package"] = about.__title__
    return meta


def generate_meta(existing_meta: Dict[str, Any], msg: Printer) -> Dict[str, Any]:
    meta = existing_meta or {}
    settings = [
        ("lang", "Pipeline language", meta.get("lang", "en")),
        ("name", "Pipeline name", meta.get("name", "pipeline")),
        ("version", "Package version", meta.get("version", "0.0.0")),
        ("description", "Package description", meta.get("description", None)),
        ("author", "Author", meta.get("author", None)),
        ("email", "Author email", meta.get("email", None)),
        ("url", "Author website", meta.get("url", None)),
        ("license", "License", meta.get("license", "MIT")),
    ]
    msg.divider("Generating meta.json")
    msg.text(
        "Enter the package settings for your pipeline. The following information "
        "will be read from your pipeline data: pipeline, vectors."
    )
    for setting, desc, default in settings:
        response = get_raw_input(desc, default)
        meta[setting] = default if response == "" and default else response
    return meta


TEMPLATE_SETUP = """
#!/usr/bin/env python
import io
import json
from os import path, walk
from shutil import copy
from setuptools import setup


def load_meta(fp):
    with io.open(fp, encoding='utf8') as f:
        return json.load(f)


def list_files(data_dir):
    output = []
    for root, _, filenames in walk(data_dir):
        for filename in filenames:
            if not filename.startswith('.'):
                output.append(path.join(root, filename))
    output = [path.relpath(p, path.dirname(data_dir)) for p in output]
    output.append('meta.json')
    return output


def list_requirements(meta):
    parent_package = meta.get('parent_package', 'spacy')
    requirements = [parent_package + meta['spacy_version']]
    if 'setup_requires' in meta:
        requirements += meta['setup_requires']
    if 'requirements' in meta:
        requirements += meta['requirements']
    return requirements


def setup_package():
    root = path.abspath(path.dirname(__file__))
    meta_path = path.join(root, 'meta.json')
    meta = load_meta(meta_path)
    model_name = str(meta['lang'] + '_' + meta['name'])
    model_dir = path.join(model_name, model_name + '-' + meta['version'])

    copy(meta_path, path.join(model_name))
    copy(meta_path, model_dir)

    setup(
        name=model_name,
        description=meta.get('description'),
        author=meta.get('author'),
        author_email=meta.get('email'),
        url=meta.get('url'),
        version=meta['version'],
        license=meta.get('license'),
        packages=[model_name],
        package_data={model_name: list_files(model_dir)},
        install_requires=list_requirements(meta),
        zip_safe=False,
        entry_points={'spacy_models': ['{m} = {m}'.format(m=model_name)]}
    )


if __name__ == '__main__':
    setup_package()
""".strip()


TEMPLATE_MANIFEST = """
include meta.json
include LICENSE
""".strip()


TEMPLATE_INIT = """
from pathlib import Path
from spacy.util import load_model_from_init_py, get_model_meta

{imports}

__version__ = get_model_meta(Path(__file__).parent)['version']


def load(**overrides):
    return load_model_from_init_py(__file__, **overrides)
""".strip()