import datetime
from concurrent.futures import as_completed
from urllib import parse

import streamlit as st
import wandb
from requests_futures.sessions import FuturesSession

from dashboard_utils.time_tracker import _log, simple_time_tracker

URL_QUICKSEARCH = "https://huggingface.co/api/quicksearch?"
WANDB_REPO = "learning-at-home/Worker_logs"
CACHE_TTL = 600


@st.cache(ttl=CACHE_TTL)
@simple_time_tracker(_log)
def get_new_bubble_data():
    serialized_data_points, latest_timestamp = get_serialized_data_points()
    serialized_data = get_serialized_data(serialized_data_points, latest_timestamp)

    usernames = []
    for item in serialized_data["points"][0]:
        usernames.append(item["profileId"])

    profiles = get_profiles(usernames)

    return serialized_data, profiles


@st.cache(ttl=CACHE_TTL)
@simple_time_tracker(_log)
def get_profiles(usernames):
    profiles = []
    with FuturesSession() as session:
        futures = []
        for username in usernames:
            future = session.get(URL_QUICKSEARCH + parse.urlencode({"type": "user", "q": username}))
            future.username = username
            futures.append(future)
        for future in as_completed(futures):
            resp = future.result()
            username = future.username
            response = resp.json()
            avatarUrl = None
            if response["users"]:
                for user_candidate in response["users"]:
                    if user_candidate["user"] == username:
                        avatarUrl = response["users"][0]["avatarUrl"]
                        break
            if not avatarUrl:
                avatarUrl = "/avatars/57584cb934354663ac65baa04e6829bf.svg"

            if avatarUrl.startswith("/avatars/"):
                avatarUrl = f"https://huggingface.co{avatarUrl}"

            profiles.append(
                {"id": username, "name": username, "src": avatarUrl, "url": f"https://huggingface.co/{username}"}
            )
    return profiles


@st.cache(ttl=CACHE_TTL)
@simple_time_tracker(_log)
def get_serialized_data_points():

    api = wandb.Api()
    runs = api.runs(WANDB_REPO)

    serialized_data_points = {}
    latest_timestamp = None
    for run in runs:
        run_summary = run.summary._json_dict
        run_name = run.name

        if run_name in serialized_data_points:
            if "_timestamp" in run_summary and "_step" in run_summary:
                timestamp = run_summary["_timestamp"]
                serialized_data_points[run_name]["Runs"].append(
                    {
                        "batches": run_summary["_step"],
                        "runtime": run_summary["_runtime"],
                        "loss": run_summary["train/loss"],
                        "velocity": run_summary["_step"] / run_summary["_runtime"],
                        "date": datetime.datetime.utcfromtimestamp(timestamp),
                    }
                )
                if not latest_timestamp or timestamp > latest_timestamp:
                    latest_timestamp = timestamp
        else:
            if "_timestamp" in run_summary and "_step" in run_summary:
                timestamp = run_summary["_timestamp"]
                serialized_data_points[run_name] = {
                    "profileId": run_name,
                    "Runs": [
                        {
                            "batches": run_summary["_step"],
                            "runtime": run_summary["_runtime"],
                            "loss": run_summary["train/loss"],
                            "velocity": run_summary["_step"] / run_summary["_runtime"],
                            "date": datetime.datetime.utcfromtimestamp(timestamp),
                        }
                    ],
                }
                if not latest_timestamp or timestamp > latest_timestamp:
                    latest_timestamp = timestamp
    latest_timestamp = datetime.datetime.utcfromtimestamp(latest_timestamp)
    return serialized_data_points, latest_timestamp


@st.cache(ttl=CACHE_TTL)
@simple_time_tracker(_log)
def get_serialized_data(serialized_data_points, latest_timestamp):
    serialized_data_points_v2 = []
    max_velocity = 1
    for run_name, serialized_data_point in serialized_data_points.items():
        activeRuns = []
        loss = 0
        runtime = 0
        batches = 0
        velocity = 0
        for run in serialized_data_point["Runs"]:
            if run["date"] == latest_timestamp:
                run["date"] = run["date"].isoformat()
                activeRuns.append(run)
                loss += run["loss"]
                velocity += run["velocity"]
            loss = loss / len(activeRuns) if activeRuns else 0
            runtime += run["runtime"]
            batches += run["batches"]
        new_item = {
            "date": latest_timestamp.isoformat(),
            "profileId": run_name,
            "batches": batches,
            "runtime": runtime,
            "activeRuns": activeRuns,
        }
        serialized_data_points_v2.append(new_item)
    serialized_data = {"points": [serialized_data_points_v2], "maxVelocity": max_velocity}
    return serialized_data