# Copyright 2025-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 hashlib
import platform
from dataclasses import dataclass
from datetime import datetime
from enum import Enum
from pathlib import Path
from typing import Any

from huggingface_hub import constants
from huggingface_hub._space_api import Volume
from huggingface_hub.utils._datetime import parse_datetime


class JobHardware(str, Enum):
    """
    Enumeration of hardware flavors available to run Jobs on the Hub.

    Value can be compared to a string:
    ```py
    assert JobHardware.CPU_BASIC == "cpu-basic"
    ```

    Both enums are kept in sync with the Hub API by `utils/check_hardware_flavors.py`.
    """

    # CPU
    CPU_BASIC = "cpu-basic"
    CPU_UPGRADE = "cpu-upgrade"
    CPU_PERFORMANCE = "cpu-performance"
    CPU_XL = "cpu-xl"

    # GPU
    T4_SMALL = "t4-small"
    T4_MEDIUM = "t4-medium"
    L4X1 = "l4x1"
    L4X4 = "l4x4"
    L40SX1 = "l40sx1"
    L40SX4 = "l40sx4"
    L40SX8 = "l40sx8"
    A10G_SMALL = "a10g-small"
    A10G_LARGE = "a10g-large"
    A10G_LARGEX2 = "a10g-largex2"
    A10G_LARGEX4 = "a10g-largex4"
    A100_LARGE = "a100-large"
    A100X4 = "a100x4"
    A100X8 = "a100x8"
    H200 = "h200"
    H200X2 = "h200x2"
    H200X4 = "h200x4"
    H200X8 = "h200x8"
    RTX_PRO_6000 = "rtx-pro-6000"
    RTX_PRO_6000X2 = "rtx-pro-6000x2"
    RTX_PRO_6000X4 = "rtx-pro-6000x4"
    RTX_PRO_6000X8 = "rtx-pro-6000x8"


class JobStage(str, Enum):
    """
    Enumeration of possible stage of a Job on the Hub.

    Value can be compared to a string:
    ```py
    assert JobStage.COMPLETED == "COMPLETED"
    ```
    Possible values are: `COMPLETED`, `CANCELED`, `ERROR`, `DELETED`, `SCHEDULING`, `RUNNING`.
    Taken from https://github.com/huggingface/moon-landing/blob/main/server/job_types/JobInfo.ts#L61 (private url).
    """

    # Copied from moon-landing > server > lib > Job.ts
    COMPLETED = "COMPLETED"
    CANCELED = "CANCELED"
    ERROR = "ERROR"
    DELETED = "DELETED"
    SCHEDULING = "SCHEDULING"
    RUNNING = "RUNNING"


# Stages indicating the Job has reached a terminal state and will not run further.
TERMINAL_JOB_STAGES = (JobStage.COMPLETED, JobStage.CANCELED, JobStage.ERROR, JobStage.DELETED)


@dataclass
class JobStatus:
    stage: JobStage
    message: str | None
    expose_urls: list[str] | None
    ssh_url: str | None


@dataclass
class JobOwner:
    id: str
    name: str
    type: str


@dataclass
class JobDurations:
    """
    Timing breakdown for a Job, computed server-side.

    Args:
        scheduling_secs (`int` or `None`):
            Seconds the job spent in the scheduling stage before starting to run.
            `None` if the job never reached the running stage.
        running_secs (`int` or `None`):
            Seconds the job has been or was running. Recomputed on each request
            while the job is in progress. `None` if the job never started running.
        total_secs (`int` or `None`):
            Total seconds elapsed since the job was created. Recomputed on each
            request while the job is in progress.
    """

    scheduling_secs: int | None
    running_secs: int | None
    total_secs: int | None

    def __init__(self, **kwargs) -> None:
        self.scheduling_secs = kwargs.get("schedulingSecs", kwargs.get("scheduling_secs"))
        self.running_secs = kwargs.get("runningSecs", kwargs.get("running_secs"))
        self.total_secs = kwargs.get("totalSecs", kwargs.get("total_secs"))


@dataclass
class JobInitiator:
    """
    Contains information about what triggered a Job.

    Args:
        type (`str`): Initiator kind, for example `"user"`, `"org"`, `"scheduled-job"`, or `"duplicated-job"`.
        id (`str`): Identifier of the initiator.
        name (`str` or `None`): Human-readable name when available, usually for user/org initiators.
    """

    type: str
    id: str
    name: str | None = None


@dataclass
class JobInfo:
    """
    Contains information about a Job.

    Args:
        id (`str`):
            Job ID.
        created_at (`datetime` or `None`):
            When the Job was created.
        started_at (`datetime` or `None`):
            When the Job started running. None while the Job is still scheduling.
        finished_at (`datetime` or `None`):
            When the Job finished. None while the Job is still scheduling or running.
        docker_image (`str` or `None`):
            The Docker image from Docker Hub used for the Job.
            Can be None if space_id is present instead.
        space_id (`str` or `None`):
            The Docker image from Hugging Face Spaces used for the Job.
            Can be None if docker_image is present instead.
        command (`list[str]` or `None`):
            Command of the Job, e.g. `["python", "-c", "print('hello world')"]`
        arguments (`list[str]` or `None`):
            Arguments passed to the command
        environment (`dict[str]` or `None`):
            Environment variables of the Job as a dictionary.
        secrets (`dict[str]` or `None`):
            Secret environment variables of the Job (encrypted).
        flavor (`str` or `None`):
            Flavor for the hardware. See [`JobHardware`] for possible values.
            E.g. `"cpu-basic"`.
        labels (`dict[str, str]` or `None`):
            Labels to attach to the job (key-value pairs).
        volumes (`list[Volume]` or `None`):
            Volumes mounted in the job container (buckets, models, datasets, spaces).
        status: (`JobStatus` or `None`):
            Status of the Job, e.g. `JobStatus(stage="RUNNING", message=None)`
            See [`JobStage`] for possible stage values.
        durations (`JobDurations` or `None`):
            Timing breakdown of the Job. Present for all job states including SCHEDULING.
        owner: (`JobOwner` or `None`):
            Owner of the Job, e.g. `JobOwner(id="5e9ecfc04957053f60648a3e", name="lhoestq", type="user")`
        initiator (`JobInitiator` or `None`):
            What triggered the Job, e.g. `JobInitiator(type="scheduled-job", id="...")` for a cron-triggered run.
        expose_urls (`list[str]` or `None`):
            Public URLs through which the Job's exposed ports are reachable (one per port exposed via `expose=`),
            e.g. `["https://687fb701029421ae5549d998--8000.hf.jobs"]`. `None` when no port is exposed.
            Accessing a URL requires an HF token with read access to the Job's namespace.
        ssh_url (`str` or `None`):
            SSH endpoint of the Job, e.g. `"ssh://687fb701029421ae5549d998@ssh.hf.jobs"`. Only present when the Job
            was started with `ssh=True`. Connecting requires write access to the Job's namespace and an SSH public
            key registered on the Hub (https://huggingface.co/settings/keys).

    Example:

    ```python
    >>> from huggingface_hub import run_job
    >>> job = run_job(
    ...     image="python:3.12",
    ...     command=["python", "-c", "print('Hello from the cloud!')"]
    ... )
    >>> job
    JobInfo(id='687fb701029421ae5549d998', created_at=datetime.datetime(2025, 7, 22, 16, 6, 25, 79000, tzinfo=datetime.timezone.utc), started_at=datetime.datetime(2025, 7, 22, 16, 6, 31, 79000, tzinfo=datetime.timezone.utc), finished_at=None, docker_image='python:3.12', space_id=None, command=['python', '-c', "print('Hello from the cloud!')"], arguments=[], environment={}, secrets={}, flavor='cpu-basic', labels=None, status=JobStatus(stage='RUNNING', message=None), durations=JobDurations(scheduling_secs=6, running_secs=2, total_secs=8), owner=JobOwner(id='5e9ecfc04957053f60648a3e', name='lhoestq', type='user'), initiator=JobInitiator(type='user', id='5e9ecfc04957053f60648a3e', name='lhoestq'), endpoint='https://huggingface.co', url='https://huggingface.co/jobs/lhoestq/687fb701029421ae5549d998')
    >>> job.id
    '687fb701029421ae5549d998'
    >>> job.url
    'https://huggingface.co/jobs/lhoestq/687fb701029421ae5549d998'
    >>> job.status.stage
    'RUNNING'
    ```
    """

    id: str
    created_at: datetime | None
    started_at: datetime | None
    finished_at: datetime | None
    docker_image: str | None
    space_id: str | None
    command: list[str] | None
    arguments: list[str] | None
    environment: dict[str, Any] | None
    secrets: dict[str, Any] | None
    flavor: JobHardware | None
    labels: dict[str, str] | None
    volumes: list[Volume] | None
    status: JobStatus
    durations: JobDurations | None
    owner: JobOwner
    initiator: JobInitiator | None

    # Inferred fields
    endpoint: str
    url: str

    def __init__(self, **kwargs) -> None:
        self.id = kwargs["id"]
        created_at = kwargs.get("createdAt") or kwargs.get("created_at")
        self.created_at = parse_datetime(created_at) if created_at else None
        started_at = kwargs.get("startedAt") or kwargs.get("started_at")
        self.started_at = parse_datetime(started_at) if started_at else None
        finished_at = kwargs.get("finishedAt") or kwargs.get("finished_at")
        self.finished_at = parse_datetime(finished_at) if finished_at else None
        self.docker_image = kwargs.get("dockerImage") or kwargs.get("docker_image")
        self.space_id = kwargs.get("spaceId") or kwargs.get("space_id")
        owner = kwargs.get("owner", {})
        self.owner = JobOwner(id=owner["id"], name=owner["name"], type=owner["type"])
        self.command = kwargs.get("command")
        self.arguments = kwargs.get("arguments")
        self.environment = kwargs.get("environment")
        self.secrets = kwargs.get("secrets")
        self.flavor = kwargs.get("flavor")
        self.labels = kwargs.get("labels")
        volumes = kwargs.get("volumes")
        self.volumes = [Volume(**v) for v in volumes] if volumes else None
        status = kwargs.get("status", {})
        self.status = JobStatus(
            stage=status["stage"],
            message=status.get("message"),
            expose_urls=status.get("exposeUrls"),
            ssh_url=status.get("sshUrl"),
        )
        durations = kwargs.get("durations")
        self.durations = JobDurations(**durations) if durations else None
        initiator = kwargs.get("initiator")
        self.initiator = (
            JobInitiator(type=initiator["type"], id=initiator["id"], name=initiator.get("name")) if initiator else None
        )

        # Inferred fields
        self.endpoint = kwargs.get("endpoint", constants.ENDPOINT)
        self.url = f"{self.endpoint}/jobs/{self.owner.name}/{self.id}"


@dataclass
class JobSpec:
    docker_image: str | None
    space_id: str | None
    command: list[str] | None
    arguments: list[str] | None
    environment: dict[str, Any] | None
    secrets: dict[str, Any] | None
    flavor: JobHardware | None
    timeout: int | None
    tags: list[str] | None
    arch: str | None
    labels: dict[str, str] | None
    volumes: list[Volume] | None

    def __init__(self, **kwargs) -> None:
        self.docker_image = kwargs.get("dockerImage") or kwargs.get("docker_image")
        self.space_id = kwargs.get("spaceId") or kwargs.get("space_id")
        self.command = kwargs.get("command")
        self.arguments = kwargs.get("arguments")
        self.environment = kwargs.get("environment")
        self.secrets = kwargs.get("secrets")
        self.flavor = kwargs.get("flavor")
        self.timeout = kwargs.get("timeout")
        self.tags = kwargs.get("tags")
        self.arch = kwargs.get("arch")
        self.labels = kwargs.get("labels")
        volumes = kwargs.get("volumes")
        self.volumes = [Volume(**v) for v in volumes] if volumes else None


@dataclass
class LastJobInfo:
    id: str
    at: datetime

    def __init__(self, **kwargs) -> None:
        self.id = kwargs["id"]
        self.at = parse_datetime(kwargs["at"])


@dataclass
class ScheduledJobStatus:
    last_job: LastJobInfo | None
    next_job_run_at: datetime | None

    def __init__(self, **kwargs) -> None:
        last_job = kwargs.get("lastJob") or kwargs.get("last_job")
        self.last_job = LastJobInfo(**last_job) if last_job else None
        next_job_run_at = kwargs.get("nextJobRunAt") or kwargs.get("next_job_run_at")
        self.next_job_run_at = parse_datetime(str(next_job_run_at)) if next_job_run_at else None


@dataclass
class ScheduledJobInfo:
    """
    Contains information about a Job.

    Args:
        id (`str`):
            Scheduled Job ID.
        created_at (`datetime` or `None`):
            When the scheduled Job was created.
        tags (`list[str]` or `None`):
            The tags of the scheduled Job.
        schedule (`str` or `None`):
            One of "@annually", "@yearly", "@monthly", "@weekly", "@daily", "@hourly", or a
            CRON schedule expression (e.g., '0 9 * * 1' for 9 AM every Monday).
        suspend (`bool` or `None`):
            Whether the scheduled job is suspended (paused).
        concurrency (`bool` or `None`):
            Whether multiple instances of this Job can run concurrently.
        status (`ScheduledJobStatus` or `None`):
            Status of the scheduled Job.
        owner: (`JobOwner` or `None`):
            Owner of the scheduled Job, e.g. `JobOwner(id="5e9ecfc04957053f60648a3e", name="lhoestq", type="user")`
        job_spec: (`JobSpec` or `None`):
            Specifications of the Job.

    Example:

    ```python
    >>> from huggingface_hub import run_job
    >>> scheduled_job = create_scheduled_job(
    ...     image="python:3.12",
    ...     command=["python", "-c", "print('Hello from the cloud!')"],
    ...     schedule="@hourly",
    ... )
    >>> scheduled_job.id
    '687fb701029421ae5549d999'
    >>> scheduled_job.status.next_job_run_at
    datetime.datetime(2025, 7, 22, 17, 6, 25, 79000, tzinfo=datetime.timezone.utc)
    ```
    """

    id: str
    created_at: datetime | None
    job_spec: JobSpec
    schedule: str | None
    suspend: bool | None
    concurrency: bool | None
    status: ScheduledJobStatus
    owner: JobOwner

    def __init__(self, **kwargs) -> None:
        self.id = kwargs["id"]
        created_at = kwargs.get("createdAt") or kwargs.get("created_at")
        self.created_at = parse_datetime(created_at) if created_at else None
        self.job_spec = JobSpec(**(kwargs.get("job_spec") or kwargs.get("jobSpec", {})))
        self.schedule = kwargs.get("schedule")
        self.suspend = kwargs.get("suspend")
        self.concurrency = kwargs.get("concurrency")
        status = kwargs.get("status", {})
        self.status = ScheduledJobStatus(
            last_job=status.get("last_job") or status.get("lastJob"),
            next_job_run_at=status.get("next_job_run_at") or status.get("nextJobRunAt"),
        )
        owner = kwargs.get("owner", {})
        self.owner = JobOwner(id=owner["id"], name=owner["name"], type=owner["type"])


@dataclass
class JobAccelerator:
    """
    Contains information about a Job accelerator (GPU).

    Args:
        type (`str`):
            Type of accelerator, e.g. `"gpu"`.
        model (`str`):
            Model of accelerator, e.g. `"T4"`, `"A10G"`, `"A100"`, `"L4"`, `"L40S"`.
        quantity (`str`):
            Number of accelerators, e.g. `"1"`, `"2"`, `"4"`, `"8"`.
        vram (`str`):
            Total VRAM, e.g. `"16 GB"`, `"24 GB"`.
        manufacturer (`str`):
            Manufacturer of the accelerator, e.g. `"Nvidia"`.
    """

    type: str
    model: str
    quantity: str
    vram: str
    manufacturer: str

    def __init__(self, **kwargs) -> None:
        self.type = kwargs["type"]
        self.model = kwargs["model"]
        self.quantity = kwargs["quantity"]
        self.vram = kwargs["vram"]
        self.manufacturer = kwargs["manufacturer"]


@dataclass
class JobHardwareInfo:
    """
    Contains information about available Job hardware.

    Args:
        name (`str`):
            Machine identifier, e.g. `"cpu-basic"`, `"a10g-large"`.
        pretty_name (`str`):
            Human-readable name, e.g. `"CPU Basic"`, `"Nvidia A10G - large"`.
        cpu (`str`):
            CPU specification, e.g. `"2 vCPU"`, `"12 vCPU"`.
        ram (`str`):
            RAM specification, e.g. `"16 GB"`, `"46 GB"`.
        ephemeral_storage (`str`):
            Ephemeral storage specification, e.g. `"20 GB"`, `"100 GB"`.
        accelerator (`JobAccelerator` or `None`):
            GPU/accelerator details if available.
        unit_cost_micro_usd (`int`):
            Cost in micro-dollars per unit, e.g. `167` (= $0.000167).
        unit_cost_usd (`float`):
            Cost in USD per unit, e.g. `0.000167`.
        unit_label (`str`):
            Cost unit period, e.g. `"minute"`.

    Example:

    ```python
    >>> from huggingface_hub import list_jobs_hardware
    >>> hardware_list = list_jobs_hardware()
    >>> hardware_list[0]
    JobHardwareInfo(name='cpu-basic', pretty_name='CPU Basic', cpu='2 vCPU', ram='16 GB', ephemeral_storage='20 GB', accelerator=None, unit_cost_micro_usd=167, unit_cost_usd=0.000167, unit_label='minute')
    >>> hardware_list[0].name
    'cpu-basic'
    ```
    """

    name: str
    pretty_name: str
    cpu: str
    ram: str
    ephemeral_storage: str
    accelerator: JobAccelerator | None
    unit_cost_micro_usd: int
    unit_cost_usd: float
    unit_label: str

    def __init__(self, **kwargs) -> None:
        self.name = kwargs["name"]
        self.pretty_name = kwargs["prettyName"]
        self.cpu = kwargs["cpu"]
        self.ram = kwargs["ram"]
        self.ephemeral_storage = kwargs.get("ephemeralStorage", "N/A")
        accelerator = kwargs.get("accelerator")
        self.accelerator = JobAccelerator(**accelerator) if accelerator else None
        self.unit_cost_micro_usd = kwargs["unitCostMicroUSD"]
        self.unit_cost_usd = kwargs["unitCostUSD"]
        self.unit_label = kwargs["unitLabel"]


def _derive_job_volume_name(source: str | Path) -> str:
    """Derive a stable remote folder name for a local directory synced as a Job volume.

    The name is `{dirname}-{hash}` where the hash fingerprints the absolute path and the machine's
    hostname: re-syncing the same directory from the same machine reuses the same remote folder
    (so only changed files are re-uploaded), while same-named directories from different paths or
    machines don't collide.
    """
    resolved = Path(source).expanduser().resolve()
    digest = hashlib.sha256(f"{platform.node()}:{resolved}".encode()).hexdigest()[:8]
    dirname = resolved.name.replace(" ", "_") or "root"
    return f"{dirname}-{digest}"


def _create_job_spec(
    *,
    image: str,
    command: list[str],
    env: dict[str, Any] | None,
    secrets: dict[str, Any] | None,
    flavor: JobHardware | str | None,
    timeout: int | float | str | None,
    name: str | None = None,
    labels: dict[str, str] | None = None,
    volumes: list[Volume] | None = None,
    expose: list[int] | None = None,
    ssh: bool = False,
) -> dict[str, Any]:
    if name is not None:
        if labels is not None and "name" in labels:
            raise ValueError("`name` and the `name` key in `labels` cannot both be provided.")
        labels = {**(labels or {}), "name": name}

    # prepare job spec to send to HF Jobs API
    job_spec: dict[str, Any] = {
        "command": command,
        "arguments": [],
        "environment": env or {},
        "flavor": flavor or JobHardware.CPU_BASIC,
    }
    # secrets are optional
    if secrets:
        job_spec["secrets"] = secrets
    # timeout is optional
    if timeout:
        time_units_factors = {"s": 1, "m": 60, "h": 3600, "d": 3600 * 24}
        if isinstance(timeout, str) and timeout[-1] in time_units_factors:
            job_spec["timeoutSeconds"] = int(float(timeout[:-1]) * time_units_factors[timeout[-1]])
        else:
            job_spec["timeoutSeconds"] = int(timeout)
    # labels are optional
    if labels:
        job_spec["labels"] = labels
    # volumes are optional
    if volumes:
        job_spec["volumes"] = [vol.to_dict() for vol in volumes]
    # expose ports through the jobs proxy
    if expose:
        job_spec["expose"] = {"ports": expose}
    # make the job container reachable over SSH
    if ssh:
        job_spec["ssh"] = {"enabled": True}
    # input is either from docker hub or from HF spaces
    for prefix in (
        "https://huggingface.co/spaces/",
        "https://hf.co/spaces/",
        "huggingface.co/spaces/",
        "hf.co/spaces/",
    ):
        if image.startswith(prefix):
            job_spec["spaceId"] = image[len(prefix) :]
            break
    else:
        job_spec["dockerImage"] = image
    return job_spec
