# coding=utf-8
# Copyright 2026-present, the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import os
import shutil
import sys

import pytest

from huggingface_hub.cli._output import Output, OutputFormat, _to_header
from huggingface_hub.errors import ConfirmationError


HUMAN = OutputFormat.human
AGENT = OutputFormat.agent
JSON = OutputFormat.json
QUIET = OutputFormat.quiet


def _normalize(text: str) -> list[str]:
    """
    Turn a triple-quoted string (or captured output) into comparable lines.
    """
    lines = text.split("\n")
    baseline = len(lines[-1]) - len(lines[-1].lstrip()) if lines else 0
    return [line[baseline:].rstrip() for line in lines if line.strip()]


@pytest.fixture
def check(capsys, monkeypatch):
    # Deterministic terminal width: human-mode table tests are width-sensitive.
    monkeypatch.setattr(shutil, "get_terminal_size", lambda *_: os.terminal_size((80, 24)))

    def _check(call, *, human, agent, json, quiet, stderr=False):
        failures = []
        for mode, expected in [(HUMAN, human), (AGENT, agent), (JSON, json), (QUIET, quiet)]:
            o = Output()
            o.set_mode(mode)
            call(o)
            captured = capsys.readouterr()
            actual_lines = _normalize(captured.err if stderr else captured.out)
            expected_lines = _normalize(expected)
            if actual_lines != expected_lines:
                failures.append(f"[{mode.value}] {actual_lines} != {expected_lines}")
        if failures:
            pytest.fail("\n".join(failures))

    return _check


# =============================================================================
# set_mode
# =============================================================================


def test_auto_resolves_to_human():
    assert Output().mode == HUMAN


def test_auto_resolves_to_agent(monkeypatch):
    monkeypatch.setenv("AI_AGENT", "test")
    assert Output().mode == AGENT


def test_auto_resets_after_explicit():
    o = Output()
    o.set_mode(QUIET)
    o.set_mode(OutputFormat.auto)
    assert o.mode == HUMAN


# =============================================================================
# out.result()
# =============================================================================


def test_result(check):
    check(
        lambda out: out.result("Logged in", user="Wauplin", orgs="org1,org2", email=None),
        human="""
        ✓ Logged in
          user: Wauplin
          orgs: org1,org2
        """,
        agent="""
        user=Wauplin orgs=org1,org2
        """,
        json="""
        {"user": "Wauplin", "orgs": "org1,org2", "email": null}
        """,
        quiet="""
        Wauplin
        """,
    )


# =============================================================================
# out.table()
# =============================================================================


def test_table(check):
    items = [
        {
            "id": "openai/gpt-oss-120b",
            "downloads": 4133088,
            "likes": 4631,
            "pipeline_tag": "text-generation",
        },
        {
            "id": "CohereLabs/cohere-transcribe-03-2026",
            "downloads": 58683,
            "likes": 670,
            "pipeline_tag": "automatic-speech-recognition",
        },
    ]
    check(
        lambda out: out.table(items, headers=["id", "downloads", "likes", "pipeline_tag"]),
        human="""
        ID                                  DOWNLOADS LIKES PIPELINE_TAG
        ----------------------------------- --------- ----- ----------------------------
        openai/gpt-oss-120b                   4133088  4631 text-generation
        CohereLabs/cohere-transcribe-03-...     58683   670 automatic-speech-recognition
        """,
        agent="""
        id\tdownloads\tlikes\tpipeline_tag
        openai/gpt-oss-120b\t4133088\t4631\ttext-generation
        CohereLabs/cohere-transcribe-03-2026\t58683\t670\tautomatic-speech-recognition
        """,
        json="""
        [{"id": "openai/gpt-oss-120b", "downloads": 4133088, "likes": 4631, "pipeline_tag": "text-generation"}, {"id": "CohereLabs/cohere-transcribe-03-2026", "downloads": 58683, "likes": 670, "pipeline_tag": "automatic-speech-recognition"}]
        """,
        quiet="""
        openai/gpt-oss-120b
        CohereLabs/cohere-transcribe-03-2026
        """,
    )


def test_table_empty(check):
    check(
        lambda out: out.table([]),
        human="""
        No results found.
        """,
        agent="""
        No results found.
        """,
        json="""
        []
        """,
        quiet="",
    )


def test_table_adaptive_shrinks_widest_column(monkeypatch, capsys):
    """Narrow terminal: the wide column gets shrunk, naturally-narrow columns are preserved."""
    monkeypatch.setattr(shutil, "get_terminal_size", lambda *_: os.terminal_size((40, 24)))

    o = Output()
    o.set_mode(HUMAN)
    o.table([{"id": "some-org/some-very-long-model-name-here", "likes": 9}], headers=["id", "likes"])

    captured = capsys.readouterr()
    assert (
        captured.out.strip()
        == """
ID                                 LIKES
---------------------------------- -----
some-org/some-very-long-model-n...     9
""".strip()
    )


def test_table_no_truncate(monkeypatch, capsys):
    """--no-truncate bypasses adaptive truncation even when the table overflows the terminal."""
    monkeypatch.setattr(shutil, "get_terminal_size", lambda *_: os.terminal_size((40, 24)))

    long_id = "some-org/some-very-long-model-name-here"
    o = Output()
    o.set_mode(HUMAN)
    o.set_no_truncate(True)
    o.table([{"id": long_id, "likes": 9}], headers=["id", "likes"])

    captured = capsys.readouterr()
    assert long_id in captured.out
    assert "..." not in captured.out


# =============================================================================
# out.dict()
# =============================================================================


def test_dict(check):
    data = {"id": "openai/gpt-oss-120b", "downloads": 4133088, "pipeline_tag": "text-generation"}
    check(
        lambda out: out.dict(data),
        human="""
        {
          "id": "openai/gpt-oss-120b",
          "downloads": 4133088,
          "pipeline_tag": "text-generation"
        }
        """,
        agent="""
        {"id": "openai/gpt-oss-120b", "downloads": 4133088, "pipeline_tag": "text-generation"}
        """,
        json="""
        {"id": "openai/gpt-oss-120b", "downloads": 4133088, "pipeline_tag": "text-generation"}
        """,
        quiet="""
        {"id": "openai/gpt-oss-120b", "downloads": 4133088, "pipeline_tag": "text-generation"}
        """,
    )


# =============================================================================
# out.text()
# =============================================================================


def test_text(check):
    check(
        lambda out: out.text("hello"),
        human="hello",
        agent="hello",
        json="",
        quiet="",
    )


def test_text_human_only(check):
    check(
        lambda out: out.text(human="Hello, Human!"),
        human="Hello, Human!",
        agent="",
        json="",
        quiet="",
    )


def test_text_agent_only(check):
    check(
        lambda out: out.text(agent="Hello, Agent!"),
        human="",
        agent="Hello, Agent!",
        json="",
        quiet="",
    )


def test_text_agent_strips_ansi(check):
    check(
        lambda out: out.text("\033[1mbold\033[0m"),
        human="""
        \033[1mbold\033[0m
        """,
        agent="""
        bold
        """,
        json="",
        quiet="",
    )


# =============================================================================
# warning / error / hint -> stderr in all modes
# =============================================================================


def test_warning(check):
    check(
        lambda out: out.warning("3 files were ignored by .gitignore patterns"),
        stderr=True,
        human="""
        Warning: 3 files were ignored by .gitignore patterns
        """,
        agent="""
        Warning: 3 files were ignored by .gitignore patterns
        """,
        json="""
        Warning: 3 files were ignored by .gitignore patterns
        """,
        quiet="""
        Warning: 3 files were ignored by .gitignore patterns
        """,
    )


def test_error(check):
    check(
        lambda out: out.error("Not logged in"),
        stderr=True,
        human="""
        Error: Not logged in
        """,
        agent="""
        Error: Not logged in
        """,
        json="""
        Error: Not logged in
        """,
        quiet="""
        Error: Not logged in
        """,
    )


def test_hint(check):
    check(
        lambda out: out.hint("Set HF_DEBUG=1 for full traceback."),
        stderr=True,
        human="""
        Hint: Set HF_DEBUG=1 for full traceback.
        """,
        agent="""
        Hint: Set HF_DEBUG=1 for full traceback.
        """,
        json="""
        Hint: Set HF_DEBUG=1 for full traceback.
        """,
        quiet="""
        Hint: Set HF_DEBUG=1 for full traceback.
        """,
    )


# =============================================================================
# out.confirm()
# =============================================================================


@pytest.mark.parametrize("mode", [HUMAN, AGENT, JSON, QUIET])
def test_confirm_yes_skips(mode):
    o = Output()
    o.set_mode(mode)
    o.confirm("Delete everything?", yes=True)  # should not raise


@pytest.mark.parametrize("mode", [AGENT, JSON, QUIET])
def test_confirm_non_human_raises(mode):
    o = Output()
    o.set_mode(mode)
    with pytest.raises(ConfirmationError, match="Use --yes to skip confirmation"):
        o.confirm("Delete everything?")


# =============================================================================
# out.status()
# =============================================================================


def test_status_only_enabled_for_humans(check, monkeypatch):
    class FakeStatusLine:
        def __init__(self, *, enabled=True):
            self.enabled = enabled

        def update(self, msg):
            if self.enabled:
                print(msg, file=sys.stderr)

    monkeypatch.setattr("huggingface_hub.cli._output.StatusLine", FakeStatusLine)

    check(
        lambda out: out.status("Working"),
        stderr=True,
        human="Working",
        agent="",
        json="",
        quiet="",
    )


# =============================================================================
# helpers
# =============================================================================


@pytest.mark.parametrize(
    ("input", "expected"),
    [
        ("camelCase", "CAMEL_CASE"),  # camelCase → SCREAMING_SNAKE
        ("PascalCase", "PASCAL_CASE"),  # PascalCase → SCREAMING_SNAKE
        ("ID", "ID"),  # already uppercase, unchanged
    ],
)
def test_to_header(input, expected):
    assert _to_header(input) == expected
