import os
from dataclasses import dataclass
from datetime import datetime, timedelta
from enum import Enum
from zoneinfo import ZoneInfo

import bittensor as bt
import gradio as gr
from packaging import version
from substrateinterface import Keypair
from wandb.apis.importers import wandb
from wandb.apis.public import Run

WANDB_RUN_PATH = os.environ["WANDB_RUN_PATH"]

REFRESH_RATE = 30
NET_UID = 39
AVERAGE_BENCHMARK_TIME_WARNING_THRESHOLD = 600  # 10 minutes
ETA_WARNING_THRESHOLD = 43200  # 12 hours

subtensor = bt.subtensor()
metagraph = bt.metagraph(netuid=NET_UID)
bt.logging.disable_logging()

demo = gr.Blocks(css=".typewriter {font-family: 'JMH Typewriter', sans-serif;}", fill_height=True, fill_width=True)


class Status(Enum):
    BENCHMARKING = ("Benchmarking", "orange")
    DONE = ("Done", "springgreen")
    BROKEN = ("Broken", "red")
    STOPPED = ("Stopped", "red")
    CRASHED = ("Crashed", "red")
    INITIALIZING = ("Initializing", "orange")

    def get_alt_time_text(self) -> str:
        return "∞" if self.is_broken() else "N/A"

    def name(self):
        return self.value[0]

    def color(self):
        return self.value[1]

    def is_broken(self):
        return self == Status.BROKEN or self == Status.STOPPED or self == Status.CRASHED or self == Status.INITIALIZING


@dataclass
class State:
    status: Status
    hotkey: str
    name: str
    version: str
    winner: int | None
    submissions: int
    benchmarks: int
    invalid: int
    average_benchmark_time: float
    vtrust: float
    updated: int


data: dict[int, State] = {}
last_refresh: datetime = datetime.fromtimestamp(0, tz=ZoneInfo("US/Pacific"))


def is_valid_run(run: Run):
    required_config_keys = ["hotkey", "uid", "contest", "signature"]

    for key in required_config_keys:
        if key not in run.config:
            return False

    uid = run.config["uid"]
    validator_hotkey = run.config["hotkey"]
    contest_name = run.config["contest"]

    signing_message = f"{uid}:{validator_hotkey}:{contest_name}"

    try:
        return Keypair(validator_hotkey).verify(signing_message, run.config["signature"])
    except Exception:
        return False


def get_identity(uid: int) -> str | None:
    identity = subtensor.substrate.query('SubtensorModule', 'Identities', [metagraph.coldkeys[uid]])
    return identity.value["name"] if identity != None else None


def fetch_wandb_data():
    wandb_api = wandb.Api()
    global data
    data.clear()

    now = datetime.now(tz=ZoneInfo("America/New_York"))
    noon = now.replace(hour=12, minute=0, second=0, microsecond=0)
    if now.hour < 12:
        noon -= timedelta(days=1)

    wandb_runs = wandb_api.runs(
        WANDB_RUN_PATH,
        filters={"config.type": "validator", "created_at": {'$gt': str(noon)}},
        order="-created_at",
    )

    for run in wandb_runs:
        if not is_valid_run(run):
            continue

        uid = run.config["uid"]
        if not metagraph.validator_permit[uid]:
            continue

        winner = None
        submissions: set[int] = set()
        benchmarks: set[int] = set()
        invalid: list[int] = []
        completed = False
        average_benchmark_time = 0.0

        for key, value in run.summary.items():
            if key == "average_benchmark_time":
                average_benchmark_time = float(value)

            elif key == "invalid":
                invalid = value

            elif key == "submissions":
                for submission_key, submission_value in value.items():
                    submissions.add(int(submission_key))

            elif key == "benchmarks":
                for benchmark_uid, benchmark in value.items():
                    if "winner" in benchmark:
                        winner = benchmark_uid
                        completed = True
                        break

                for benchmark_key, benchmark_value in value.items():
                    benchmarks.add(int(benchmark_key))

        status = Status.BENCHMARKING
        run_state = run.state
        if run_state == "finished":
            status = Status.STOPPED
        elif run_state == "crashed":
            status = Status.CRASHED
        elif completed:
            status = Status.DONE
        elif not submissions or (not average_benchmark_time and benchmarks):
            if 12 <= now.hour < 13:
                status = Status.INITIALIZING
            else:
                status = Status.BROKEN

        block = subtensor.get_current_block()
        data[uid] = State(
            status=status,
            hotkey=run.config["hotkey"],
            name=get_identity(uid) or run.config["hotkey"],
            version=run.tags[1][8:],
            winner=winner,
            submissions=len(submissions),
            benchmarks=len(benchmarks),
            invalid=len(invalid),
            average_benchmark_time=average_benchmark_time,
            vtrust=metagraph.validator_trust[uid],
            updated=block - metagraph.last_update[uid],
        )

    data = dict(sorted(data.items()))


def get_latest_version(data: dict[int, State]) -> str:
    latest_version = version.parse("0.0.0")
    for source_validator_uid, state in data.items():
        current_version = version.parse(state.version)
        if current_version > latest_version:
            latest_version = current_version
    return str(latest_version)


def try_refresh():
    global last_refresh
    now = datetime.now(tz=ZoneInfo("America/New_York"))

    if (now - last_refresh).total_seconds() > REFRESH_RATE:
        print(f"Refreshing States at {now.strftime('%Y-%m-%d %H:%M:%S')}")
        metagraph.sync(subtensor=subtensor)
        fetch_wandb_data()
        last_refresh = now


def get_data() -> gr.Dataframe:
    try_refresh()

    elements: list[tuple] = []
    latest_version = get_latest_version(data)
    now = datetime.now(tz=ZoneInfo("America/New_York"))

    for uid, state in data.items():
        eta = int(state.average_benchmark_time * (state.submissions - (state.benchmarks + state.invalid)))
        time_left = timedelta(seconds=eta)
        eta_date = now + time_left
        eta_time = eta_date.strftime("%Y-%m-%d %I:%M:%S %p") if eta > 0 and state.status == Status.BENCHMARKING else state.status.get_alt_time_text()

        average_time_text = f"{timedelta(seconds=int(state.average_benchmark_time))}" if state.average_benchmark_time else state.status.get_alt_time_text(),

        elements.append((
            uid,
            state.name,
            f"<span style='color: {'springgreen' if state.version == latest_version else 'red'}'>{state.version}</span>",
            f"<span style='color: {state.status.color()}'>{state.status.name()}</span>",
            f"<span style='color: {'springgreen' if state.winner else 'orange'}'>{state.winner if state.winner else 'N/A'}</span>",
            state.benchmarks + state.invalid,
            state.submissions,
            state.invalid,
            f"<span style='color: {'orange' if state.average_benchmark_time > AVERAGE_BENCHMARK_TIME_WARNING_THRESHOLD else 'springgreen'}'>{average_time_text[0]}</span>",
            f"<span style='color: {'orange' if eta > ETA_WARNING_THRESHOLD else 'springgreen'}'>{eta_time}</span>",
            f"<span style='color: {'orange' if eta > ETA_WARNING_THRESHOLD else 'springgreen'}'>{time_left if eta > 0 and state.status == Status.BENCHMARKING else state.status.get_alt_time_text()}</span>",
            f"<span style='color: {'springgreen' if state.vtrust > 0.75 else 'red'}'>{state.vtrust:.4f}</span>",
            f"<span style='color: {'springgreen' if state.updated < 1000 else 'red'}'>{state.updated}</span>",
        ))

    return gr.Dataframe(
        elements,
        headers=["UID", "Name", "Version", "Status", "Winner UID", "Tested", "Submissions", "Invalid", "Avg. Benchmark Time", "ETA (Eastern Time)", "ETA Remaining", "VTrust", "Updated"],
        datatype=["number", "markdown", "markdown", "markdown", "markdown", "number", "number", "number", "markdown", "markdown", "markdown", "markdown", "markdown"],
        label=f"SN{NET_UID} Validator States (Last updated: {last_refresh.strftime('%Y-%m-%d %I:%M:%S %p')} EST)",
        interactive=False,
    )


def main():
    with demo:
        table = gr.Dataframe()
        table.attach_load_event(lambda: get_data(), None)
    demo.launch()


if __name__ == '__main__':
    main()