app.py

import html
import time
import threading
from datetime import datetime
from functools import lru_cache
from concurrent.futures import ThreadPoolExecutor, as_completed

import gradio as gr
import pandas as pd
import requests
from huggingface_hub import HfApi


# ============================================================
# Constants / shared config
# ============================================================
REPO_KINDS = ("model", "dataset", "space")
REPO_KIND_LABELS = {
    "model": "Models",
    "dataset": "Datasets",
    "space": "Spaces",
}
REPO_KIND_EMOJIS = {
    "model": "🧠",
    "dataset": "📦",
    "space": "🚀",
}
REPO_KIND_PALETTES = {
    "model": "blue",
    "dataset": "pink",
    "space": "orange",
}

RECENT_ACTIVITY_LIMIT = 20
RECENT_ACTIVITY_MAX_PAGES = 300
RECENT_ACTIVITY_MAX_STALLED_PAGES = 5


# ============================================================
# API
# ============================================================
def get_api(token: str | None = None) -> HfApi:
    return HfApi(token=token) if token else HfApi()


# ============================================================
# HTTP helpers
# ============================================================
def build_session(accept: str, token: str | None = None) -> requests.Session:
    session = requests.Session()
    session.headers.update(
        {
            "User-Agent": "hf-contributions-app/1.0",
            "Accept": accept,
            "Cache-Control": "no-cache",
        }
    )
    if token:
        session.headers["Authorization"] = f"Bearer {token}"
    return session


# ============================================================
# Viewer helpers
# ============================================================
def get_viewer_username(profile: gr.OAuthProfile | None) -> str | None:
    return getattr(profile, "username", None) if profile is not None else None


def is_self_view(username: str, profile: gr.OAuthProfile | None) -> bool:
    username = (username or "").strip()
    viewer = get_viewer_username(profile)
    return bool(viewer and username and viewer.lower() == username.lower())


# ============================================================
# Recent-activity shared helpers
# ============================================================
def normalize_recent_activity_payload(payload):
    if isinstance(payload, list):
        return payload, None

    if isinstance(payload, dict):
        events = payload.get("recentActivity")
        if isinstance(events, list):
            return events, payload.get("cursor")

        for key in ["items", "events", "activity"]:
            value = payload.get(key)
            if isinstance(value, list):
                return value, payload.get("cursor")

    return [], None


def get_year_bounds(selected_year: int):
    year_start = pd.Timestamp(f"{selected_year}-01-01", tz="UTC")
    year_end = pd.Timestamp(f"{selected_year}-12-31 23:59:59.999999", tz="UTC")
    return year_start, year_end


def build_events_page_signature(events: list[dict]) -> tuple:
    signature = []
    for event in events:
        if not isinstance(event, dict):
            continue
        signature.append(
            (
                event.get("eventId"),
                event.get("time"),
                event.get("repoId"),
                event.get("type"),
                event.get("targetUrl"),
            )
        )
    return tuple(signature)


def parse_recent_activity_event_ts(event: dict):
    raw_time = event.get("time")
    if not raw_time:
        return None
    try:
        return pd.to_datetime(raw_time, utc=True)
    except Exception:
        return None


def update_recent_activity_progress(
    event_ts,
    *,
    year_start,
    year_end,
    oldest_event_ts_seen,
    page_oldest_event_ts,
    seen_target_year,
    crossed_before_year_start,
):
    if event_ts is None:
        return (
            oldest_event_ts_seen,
            page_oldest_event_ts,
            seen_target_year,
            crossed_before_year_start,
        )

    if oldest_event_ts_seen is None or event_ts < oldest_event_ts_seen:
        oldest_event_ts_seen = event_ts

    if page_oldest_event_ts is None or event_ts < page_oldest_event_ts:
        page_oldest_event_ts = event_ts

    if year_start <= event_ts <= year_end:
        seen_target_year = True
    elif event_ts < year_start:
        crossed_before_year_start = True

    return (
        oldest_event_ts_seen,
        page_oldest_event_ts,
        seen_target_year,
        crossed_before_year_start,
    )


def update_stalled_pagination_state(
    *,
    page_oldest_event_ts,
    previous_oldest_event_ts_seen,
    stalled_oldest_count,
):
    if previous_oldest_event_ts_seen is not None and page_oldest_event_ts is not None:
        if page_oldest_event_ts >= previous_oldest_event_ts_seen:
            stalled_oldest_count += 1
        else:
            stalled_oldest_count = 0

    if page_oldest_event_ts is not None:
        previous_oldest_event_ts_seen = page_oldest_event_ts

    return previous_oldest_event_ts_seen, stalled_oldest_count


# ============================================================
# Thread-safe rate limiters
# ============================================================
class RateLimiter:
    def __init__(self, calls_per_second=10):
        self.calls_per_second = calls_per_second
        self.last_call = 0.0
        self.lock = threading.Lock()

    def wait(self):
        with self.lock:
            now = time.time()
            min_interval = 1.0 / self.calls_per_second
            elapsed = now - self.last_call
            if elapsed < min_interval:
                time.sleep(min_interval - elapsed)
            self.last_call = time.time()


rate_limiter = RateLimiter(calls_per_second=10)
recent_activity_rate_limiter = RateLimiter(calls_per_second=1.0)


# ============================================================
# Simple in-memory cache
# ============================================================
CACHE = {}
CACHE_TTL = 60 * 10  # 10 minutes
CACHE_LOCK = threading.Lock()


def get_cache(key):
    with CACHE_LOCK:
        entry = CACHE.get(key)
        if not entry:
            return None

        value, timestamp = entry
        if time.time() - timestamp > CACHE_TTL:
            del CACHE[key]
            return None

        print(f"[CACHE HIT] {key}")
        return value


def set_cache(key, value):
    with CACHE_LOCK:
        CACHE[key] = (value, time.time())


# ============================================================
# Username validation / identity resolution
# ============================================================
def empty_identity(username: str, error: str):
    username = (username or "").strip()
    return {
        "exists": False,
        "username": username,
        "fullname": None,
        "display_name": f"@{username}" if username else "",
        "error": error,
        "source": "empty",
    }


def resolve_identity(username: str, profile: gr.OAuthProfile | None):
    username = (username or "").strip()
    if not username:
        return empty_identity("", "No username provided.")
    return validate_username(username, profile)


def is_invalid_identity(identity: dict, username: str) -> bool:
    username = (username or "").strip()
    return bool(username and not identity.get("exists"))


def validate_username(username: str, profile: gr.OAuthProfile | None):
    username = (username or "").strip()

    if not username:
        return empty_identity(username, "No username provided.")

    cache_key = ("identity", username.lower())
    cached = get_cache(cache_key)
    if cached is not None:
        return cached

    profile_username = get_viewer_username(profile)
    profile_name = getattr(profile, "name", None) if profile is not None else None

    if profile_username and profile_username.lower() == username.lower():
        result = {
            "exists": True,
            "username": profile_username,
            "fullname": profile_name.strip() if isinstance(profile_name, str) and profile_name.strip() else None,
            "display_name": (
                f"{profile_name.strip()} (@{profile_username})"
                if isinstance(profile_name, str) and profile_name.strip()
                else f"@{profile_username}"
            ),
            "error": None,
            "source": "oauth",
        }
        set_cache(cache_key, result)
        return result

    session = build_session("text/html,application/json")

    try:
        response = session.get(
            f"https://huggingface.co/{username}",
            timeout=15,
            allow_redirects=True,
        )

        if response.status_code == 404:
            result = empty_identity(username, f"Username or org '{username}' was not found.")
            result["source"] = "profile_page"
            set_cache(cache_key, result)
            return result

        response.raise_for_status()

        result = {
            "exists": True,
            "username": username,
            "fullname": None,
            "display_name": f"@{username}",
            "error": None,
            "source": "profile_page",
        }
        set_cache(cache_key, result)
        return result

    except requests.HTTPError:
        result = empty_identity(
            username,
            f"Username or org '{username}' could not be verified."
        )
        result["source"] = "profile_page_error"
        set_cache(cache_key, result)
        return result

    except requests.RequestException:
        result = empty_identity(
            username,
            "Could not verify this username right now. Please try again."
        )
        result["source"] = "network_error"
        set_cache(cache_key, result)
        return result

    except Exception:
        result = empty_identity(
            username,
            "Could not verify this username right now. Please try again."
        )
        result["source"] = "unknown_error"
        set_cache(cache_key, result)
        return result


# ============================================================
# Public cache only
# ============================================================
def list_items_with_api(api: HfApi, username: str, kind: str):
    fetchers = {
        "model": api.list_models,
        "dataset": api.list_datasets,
        "space": api.list_spaces,
    }
    fetcher = fetchers.get(kind)
    return list(fetcher(author=username)) if fetcher else []


@lru_cache(maxsize=1000)
def cached_list_commits_public(repo_id: str, repo_type: str):
    return list(HfApi().list_repo_commits(repo_id=repo_id, repo_type=repo_type))


@lru_cache(maxsize=200)
def cached_list_items_public(username: str, kind: str):
    return list_items_with_api(HfApi(), username, kind)


def list_items(username: str, kind: str, token: str | None = None):
    if token:
        return list_items_with_api(get_api(token), username, kind)
    return cached_list_items_public(username, kind)


def list_commits(repo_id: str, repo_type: str, token: str | None = None):
    if token:
        return list(get_api(token).list_repo_commits(repo_id=repo_id, repo_type=repo_type))
    return cached_list_commits_public(repo_id, repo_type)


# ============================================================
# Repo activity fetch
# ============================================================
def fetch_commits_for_repo(
    repo_id: str,
    repo_type: str,
    selected_year: int,
    token: str | None = None,
):
    try:
        rate_limiter.wait()
        commits = list_commits(repo_id, repo_type, token=token)

        commit_dates = []
        commit_count = 0

        for commit in commits:
            commit_created_at = getattr(commit, "created_at", None)
            if commit_created_at is None:
                continue

            dt = pd.to_datetime(commit_created_at).tz_localize(None).date()
            if dt.year == selected_year:
                commit_dates.append(dt)
                commit_count += 1

        return commit_dates, commit_count, None

    except Exception as e:
        return [], 0, f"{repo_type}:{repo_id} -> {str(e)}"


def build_repo_entry(item, kind: str, selected_year: int, token: str | None = None):
    repo_id = item.id
    is_private = bool(getattr(item, "private", False))

    created_dates = []
    created_at = getattr(item, "created_at", None)
    if created_at is not None:
        dt = pd.to_datetime(created_at).tz_localize(None).date()
        if dt.year == selected_year:
            created_dates.append(dt)

    repo_commit_dates, repo_commit_count, err = fetch_commits_for_repo(
        repo_id=repo_id,
        repo_type=kind,
        selected_year=selected_year,
        token=token,
    )

    created_count = len(created_dates)
    activity_dates = created_dates + repo_commit_dates
    activity_count = created_count + repo_commit_count

    return {
        "repo_id": repo_id,
        "kind": kind,
        "is_private": is_private,
        "created_dates": created_dates,
        "created_count": created_count,
        "repo_commit_dates": repo_commit_dates,
        "repo_commit_count": repo_commit_count,
        "activity_dates": activity_dates,
        "activity_count": activity_count,
        "error": err,
    }


def collect_kind_repo_entries(
    username: str,
    kind: str,
    selected_year: int,
    token: str | None = None,
):
    try:
        items = list_items(username, kind, token=token)

        repo_entries = []
        errors = []
        chunk_size = 5

        for i in range(0, len(items), chunk_size):
            chunk = items[i:i + chunk_size]
            if not chunk:
                continue

            with ThreadPoolExecutor(max_workers=min(5, len(chunk))) as executor:
                futures = {
                    executor.submit(
                        build_repo_entry,
                        item,
                        kind,
                        selected_year,
                        token,
                    ): item.id
                    for item in chunk
                }

                for future in as_completed(futures):
                    entry = future.result()
                    repo_entries.append(entry)
                    if entry["error"]:
                        errors.append(entry["error"])

        return {
            "total_items": len(items),
            "repos": repo_entries,
            "errors": errors,
        }

    except Exception as e:
        return {
            "total_items": 0,
            "repos": [],
            "errors": [f"Error fetching {kind}s for {username}: {str(e)}"],
        }


def aggregate_repo_entries(repo_entries: list[dict], include_private: bool):
    filtered = repo_entries if include_private else [r for r in repo_entries if not r["is_private"]]

    created_dates = []
    repo_commit_dates = []
    activity_dates = []
    created_count = 0
    repo_commit_count = 0
    repos_with_activity = 0

    for repo in filtered:
        created_dates.extend(repo["created_dates"])
        repo_commit_dates.extend(repo["repo_commit_dates"])
        activity_dates.extend(repo["activity_dates"])
        created_count += repo["created_count"]
        repo_commit_count += repo["repo_commit_count"]

        if repo["activity_count"] > 0:
            repos_with_activity += 1

    return {
        "created_dates": created_dates,
        "created_count": created_count,
        "repo_commit_dates": repo_commit_dates,
        "repo_commit_count": repo_commit_count,
        "activity_dates": activity_dates,
        "activity_count": created_count + repo_commit_count,
        "repos_with_activity": repos_with_activity,
    }


# ============================================================
# Generic activity bucket helpers
# ============================================================
def empty_activity_bucket(title: str):
    return {
        "title": title,
        "fetched": False,
        "dates": [],
        "count": 0,
        "logs": f"{title} not fetched yet.",
    }


def empty_bucketed_activity_state(
    selected_year: int,
    logs_text: str,
    bucket_titles: dict[str, str],
):
    state = {
        "username": "",
        "selected_year": int(selected_year),
        "fetched": False,
        "logs": logs_text,
    }

    for key, title in bucket_titles.items():
        state[key] = empty_activity_bucket(title)

    return state


def build_fetched_bucket(title: str, dates: list, selected_year: int, label: str):
    return {
        "title": title,
        "fetched": True,
        "dates": dates,
        "count": len(dates),
        "logs": f"Found {len(dates)} {label} in {selected_year}.",
    }


def build_failed_bucket(title: str):
    return {
        "title": title,
        "fetched": True,
        "dates": [],
        "count": 0,
        "logs": "",
    }


def build_invalid_section_state(username: str, selected_year: int, empty_state_fn, identity: dict):
    state = empty_state_fn(selected_year)
    state["username"] = username
    state["selected_year"] = int(selected_year)
    state["logs"] = identity.get("error") or f"Username or org '{username}' was not found."
    return state


# ============================================================
# Community activity state
# ============================================================
def empty_community_state(selected_year: int):
    return {
        "username": "",
        "selected_year": int(selected_year),
        "fetched": False,
        "pr_opened": empty_activity_bucket("Pull Requests"),
        "pr_activity": empty_activity_bucket("PR Activity"),
        "thread_opened": empty_activity_bucket("Community Threads"),
        "discussion_activity": empty_activity_bucket("Community Activity"),
        "logs": "Community activity not fetched yet.",
    }


# ============================================================
# Generic recent-activity engine
# ============================================================
def collect_recent_activity(
    *,
    username: str,
    selected_year: int,
    activity_type: str,
    processor,
    build_session_fn,
    rate_limiter_obj,
    token: str | None = None,
    limit: int = RECENT_ACTIVITY_LIMIT,
    max_pages: int = RECENT_ACTIVITY_MAX_PAGES,
    max_stalled_pages: int = RECENT_ACTIVITY_MAX_STALLED_PAGES,
):
    username = (username or "").strip()
    selected_year = int(selected_year)

    processor_state = processor.init_state()
    year_start, year_end = get_year_bounds(selected_year)
    session = build_session_fn("application/json", token=token)

    cursor = None
    skip = 0
    pages_fetched = 0

    seen_target_year = False
    crossed_before_year_start = False
    oldest_event_ts_seen = None
    previous_oldest_event_ts_seen = None
    stalled_oldest_count = 0
    seen_cursors = set()
    seen_page_signatures = set()

    logs = []

    try:
        while True:
            if pages_fetched >= max_pages:
                logs.append("Stopped due to safety max pages.")
                break

            rate_limiter_obj.wait()

            params = {
                "limit": limit,
                "activityType": activity_type,
                "feedType": "user",
                "entity": username,
            }
            if cursor:
                params["cursor"] = cursor
            else:
                params["skip"] = skip

            response = session.get(
                "https://huggingface.co/api/recent-activity",
                params=params,
                timeout=20,
            )
            response.raise_for_status()

            payload = response.json()
            pages_fetched += 1

            events, next_cursor = normalize_recent_activity_payload(payload)

            if not events:
                logs.append("No more events.")
                break

            page_signature = build_events_page_signature(events)
            if page_signature in seen_page_signatures:
                logs.append("Stopped because recent-activity returned a repeated page.")
                break
            seen_page_signatures.add(page_signature)

            if next_cursor:
                if next_cursor in seen_cursors:
                    logs.append("Stopped because recent-activity returned a repeated cursor.")
                    break
                seen_cursors.add(next_cursor)

            page_oldest_event_ts = None

            for event in events:
                if not isinstance(event, dict):
                    continue

                event_ts = parse_recent_activity_event_ts(event)

                (
                    oldest_event_ts_seen,
                    page_oldest_event_ts,
                    seen_target_year,
                    crossed_before_year_start,
                ) = update_recent_activity_progress(
                    event_ts,
                    year_start=year_start,
                    year_end=year_end,
                    oldest_event_ts_seen=oldest_event_ts_seen,
                    page_oldest_event_ts=page_oldest_event_ts,
                    seen_target_year=seen_target_year,
                    crossed_before_year_start=crossed_before_year_start,
                )

                processor.process_event(
                    event=event,
                    event_ts=event_ts,
                    year_start=year_start,
                    year_end=year_end,
                    state=processor_state,
                )

            if crossed_before_year_start:
                logs.append("Stopped after crossing before selected year.")
                break

            previous_oldest_event_ts_seen, stalled_oldest_count = update_stalled_pagination_state(
                page_oldest_event_ts=page_oldest_event_ts,
                previous_oldest_event_ts_seen=previous_oldest_event_ts_seen,
                stalled_oldest_count=stalled_oldest_count,
            )

            if stalled_oldest_count >= max_stalled_pages:
                logs.append("Stopped because pagination no longer progressed toward older events.")
                break

            if next_cursor:
                cursor = next_cursor
            else:
                skip += limit

        return processor.build_result(
            username=username,
            selected_year=selected_year,
            state=processor_state,
            logs=logs,
            pages_fetched=pages_fetched,
            oldest_event_ts_seen=oldest_event_ts_seen,
            seen_target_year=seen_target_year,
            crossed_before_year_start=crossed_before_year_start,
        )

    except Exception as e:
        return processor.build_error_result(
            username=username,
            selected_year=selected_year,
            error=e,
            logs=logs,
        )


# ============================================================
# Recent-activity processors
# ============================================================
class CommunityActivityProcessor:
    TITLE_MAP = {
        "pr_opened": "Pull Requests",
        "pr_activity": "PR Activity",
        "thread_opened": "Community Threads",
        "discussion_activity": "Community Activity",
    }
    LOG_LABEL_MAP = {
        "pr_opened": "unique pr_opened event(s)",
        "pr_activity": "unique pr_activity event(s)",
        "thread_opened": "unique thread_opened event(s)",
        "discussion_activity": "unique discussion_activity event(s)",
    }
    OPEN_EVENT_EPSILON_SECONDS = 90

    def __init__(self, username: str):
        self.username = (username or "").strip()

    def init_state(self):
        return {
            "dates": {
                "pr_opened": [],
                "pr_activity": [],
                "thread_opened": [],
                "discussion_activity": [],
            },
            "seen_ids": {
                "pr_opened": set(),
                "pr_activity": set(),
                "thread_opened": set(),
                "discussion_activity": set(),
            },
        }

    def extract_author_name(self, discussion: dict) -> str | None:
        author = discussion.get("author")
        if isinstance(author, str):
            return author
        if isinstance(author, dict):
            for key in ["name", "username", "login"]:
                value = author.get(key)
                if isinstance(value, str):
                    return value
        return None

    def parse_ts(self, raw_value):
        if not raw_value:
            return None
        try:
            return pd.to_datetime(raw_value, utc=True)
        except Exception:
            return None

    def classify_event(self, event: dict, discussion: dict) -> tuple[str | None, str | None]:
        is_pr = bool(discussion.get("isPullRequest", False))
        author_name = self.extract_author_name(discussion)
        repo_id = event.get("repoId", "unknown-repo")
        discussion_num = discussion.get("num", "unknown-num")
        event_id = event.get("eventId", "unknown-event")

        if is_pr:
            if author_name and author_name.lower() == self.username.lower():
                return "pr_opened", f"{repo_id}::pr::{discussion_num}"
            return "pr_activity", f"event::{event_id}"

        if author_name and author_name.lower() == self.username.lower():
            return "thread_opened", f"{repo_id}::thread::{discussion_num}"
        return "discussion_activity", f"event::{event_id}"

    def extract_business_timestamp(self, bucket_key: str, event: dict, discussion: dict):
        event_ts = self.parse_ts(event.get("time"))
        created_ts = self.parse_ts(discussion.get("createdAt"))

        if bucket_key in {"pr_opened", "thread_opened"}:
            return created_ts

        if bucket_key in {"pr_activity", "discussion_activity"}:
            if event_ts is None:
                return None
            if created_ts is not None:
                delta_seconds = abs((event_ts - created_ts).total_seconds())
                if delta_seconds <= self.OPEN_EVENT_EPSILON_SECONDS:
                    return None
            return event_ts

        return None

    def process_event(
        self,
        *,
        event: dict,
        event_ts,
        year_start,
        year_end,
        state: dict,
    ):
        _ = event_ts

        discussion = event.get("discussionData") or {}
        if not isinstance(discussion, dict):
            return

        bucket_key, unique_id = self.classify_event(event, discussion)
        if not bucket_key or not unique_id:
            return

        business_ts = self.extract_business_timestamp(bucket_key, event, discussion)
        if business_ts is None:
            return

        if not (year_start <= business_ts <= year_end):
            return

        if unique_id in state["seen_ids"][bucket_key]:
            return

        state["seen_ids"][bucket_key].add(unique_id)
        state["dates"][bucket_key].append(business_ts.tz_localize(None).date())

    def build_bucket(self, key: str, dates: list, selected_year: int):
        return {
            "title": self.TITLE_MAP[key],
            "fetched": True,
            "dates": dates,
            "count": len(dates),
            "logs": f"Found {len(dates)} {self.LOG_LABEL_MAP[key]} in {selected_year}.",
        }

    def build_result(
        self,
        *,
        username: str,
        selected_year: int,
        state: dict,
        logs: list[str],
        pages_fetched: int,
        oldest_event_ts_seen,
        seen_target_year: bool,
        crossed_before_year_start: bool,
    ):
        logs = list(logs)
        logs.append(f"Fetched {pages_fetched} page(s) from recent-activity.")
        if oldest_event_ts_seen is not None:
            logs.append(f"Oldest event reached: {oldest_event_ts_seen.date()}.")
        logs.append(f"Seen target year: {seen_target_year}.")
        logs.append(f"Crossed before year start: {crossed_before_year_start}.")
        logs.append(
            " | ".join(
                f"{self.TITLE_MAP[key]}: {len(state['dates'][key])}"
                for key in ["pr_opened", "pr_activity", "thread_opened", "discussion_activity"]
            )
        )

        combined_logs = "\n\n".join(
            [
                "[Pull Requests]\n" + self.build_bucket("pr_opened", state["dates"]["pr_opened"], selected_year)["logs"],
                "[PR Activity]\n" + self.build_bucket("pr_activity", state["dates"]["pr_activity"], selected_year)["logs"],
                "[Community Threads]\n" + self.build_bucket("thread_opened", state["dates"]["thread_opened"], selected_year)["logs"],
                "[Community Activity]\n" + self.build_bucket("discussion_activity", state["dates"]["discussion_activity"], selected_year)["logs"],
                "[Fetch]\n" + "\n".join(logs),
            ]
        )

        return {
            "username": username,
            "selected_year": selected_year,
            "fetched": True,
            "pr_opened": self.build_bucket("pr_opened", state["dates"]["pr_opened"], selected_year),
            "pr_activity": self.build_bucket("pr_activity", state["dates"]["pr_activity"], selected_year),
            "thread_opened": self.build_bucket("thread_opened", state["dates"]["thread_opened"], selected_year),
            "discussion_activity": self.build_bucket("discussion_activity", state["dates"]["discussion_activity"], selected_year),
            "logs": combined_logs,
        }

    def build_error_result(
        self,
        *,
        username: str,
        selected_year: int,
        error,
        logs: list[str],
    ):
        _ = logs
        return {
            "username": username,
            "selected_year": selected_year,
            "fetched": True,
            "pr_opened": build_failed_bucket("Pull Requests"),
            "pr_activity": build_failed_bucket("PR Activity"),
            "thread_opened": build_failed_bucket("Community Threads"),
            "discussion_activity": build_failed_bucket("Community Activity"),
            "logs": f"Community fetch failed: {str(error)}",
        }


class BucketedActivityProcessor:
    def __init__(
        self,
        *,
        bucket_titles: dict[str, str],
        bucket_log_labels: dict[str, str],
        classifier,
        error_label: str,
    ):
        self.bucket_titles = bucket_titles
        self.bucket_log_labels = bucket_log_labels
        self.classifier = classifier
        self.error_label = error_label

    def init_state(self):
        return {
            "bucket_dates": {key: [] for key in self.bucket_titles},
            "bucket_seen_ids": {key: set() for key in self.bucket_titles},
        }

    def process_event(
        self,
        *,
        event: dict,
        event_ts,
        year_start,
        year_end,
        state: dict,
    ):
        if event_ts is None:
            return

        if not (year_start <= event_ts <= year_end):
            return

        bucket_key, unique_id = self.classifier(event)

        if not bucket_key or not unique_id:
            return

        if bucket_key not in state["bucket_dates"]:
            return

        if unique_id in state["bucket_seen_ids"][bucket_key]:
            return

        state["bucket_seen_ids"][bucket_key].add(unique_id)
        state["bucket_dates"][bucket_key].append(event_ts.tz_localize(None).date())

    def build_result(
        self,
        *,
        username: str,
        selected_year: int,
        state: dict,
        logs: list[str],
        pages_fetched: int,
        oldest_event_ts_seen,
        seen_target_year: bool,
        crossed_before_year_start: bool,
    ):
        logs = list(logs)
        logs.append(f"Fetched {pages_fetched} page(s) from recent-activity.")
        if oldest_event_ts_seen is not None:
            logs.append(f"Oldest event reached: {oldest_event_ts_seen.date()}.")
        logs.append(f"Seen target year: {seen_target_year}.")
        logs.append(f"Crossed before year start: {crossed_before_year_start}.")
        logs.append(
            " | ".join(
                f"{self.bucket_titles[key]}: {len(state['bucket_dates'][key])}"
                for key in self.bucket_titles
            )
        )

        result = {
            "username": username,
            "selected_year": selected_year,
            "fetched": True,
            "logs": "\n".join(logs),
        }

        for key, title in self.bucket_titles.items():
            dates = state["bucket_dates"][key]
            result[key] = build_fetched_bucket(
                title=title,
                dates=dates,
                selected_year=selected_year,
                label=self.bucket_log_labels[key],
            )

        return result

    def build_error_result(
        self,
        *,
        username: str,
        selected_year: int,
        error,
        logs: list[str],
    ):
        _ = logs
        result = {
            "username": username,
            "selected_year": selected_year,
            "fetched": True,
            "logs": f"{self.error_label} fetch failed: {str(error)}",
        }

        for key, title in self.bucket_titles.items():
            result[key] = build_failed_bucket(title)

        return result


# ============================================================
# Activity classifiers + config
# ============================================================
def classify_upvote_event(event: dict):
    target_type = event.get("targetType")
    target = event.get("target") or {}
    if not isinstance(target, dict):
        target = {}

    unique_id = event.get("targetUrl") or target.get("id") or target.get("_id")

    mapping = {
        "paper": "papers",
        "article": "blog",
        "changelog": "changelog",
    }

    bucket_key = mapping.get(target_type)
    if not bucket_key or not unique_id:
        return None, None

    return bucket_key, unique_id


def classify_like_event(event: dict):
    repo_data = event.get("repoData") or {}
    if not isinstance(repo_data, dict):
        repo_data = {}

    repo_type = event.get("repoType") or repo_data.get("repoType")
    unique_id = event.get("repoId") or repo_data.get("id")

    mapping = {
        "model": "models",
        "dataset": "datasets",
        "space": "spaces",
    }

    bucket_key = mapping.get(repo_type)
    if not bucket_key or not unique_id:
        return None, None

    return bucket_key, unique_id


def classify_paper_event(event: dict):
    event_type = event.get("type")
    paper = event.get("paper") or {}
    if not isinstance(paper, dict):
        paper = {}

    unique_id = paper.get("id")

    mapping = {
        "paper-daily": "daily",
        "paper": "authored",
    }

    bucket_key = mapping.get(event_type)
    if not bucket_key or not unique_id:
        return None, None

    return bucket_key, unique_id


SINGLE_SECTION_CONFIG = {
    "upvotes": {
        "section_label": "upvotes activity",
        "empty_chart_title": "Upvotes",
        "empty_logs_text": "Upvotes activity not fetched yet.",
        "needs_fetch_text": "Upvotes activity needs to be fetched for the current username/year.",
        "default_mode": "all",
        "palette_name": "purple",
        "bucket_titles": {
            "papers": "Paper Upvotes",
            "blog": "Blog Upvotes",
            "changelog": "Changelog Upvotes",
        },
        "bucket_log_labels": {
            "papers": "paper upvote(s)",
            "blog": "blog upvote(s)",
            "changelog": "changelog upvote(s)",
        },
        "activity_type": "upvote",
        "cache_scope": "upvotes",
        "classifier": classify_upvote_event,
        "mode_labels": {
            "papers": "paper upvote(s)",
            "blog": "blog upvote(s)",
            "changelog": "changelog upvote(s)",
        },
        "button_text": "Fetch upvotes activity",
        "empty_context_text": "Not logged in · Enter a username to fetch upvotes activity",
        "radio_choices": [
            ("All", "all"),
            ("Papers", "papers"),
            ("Blog", "blog"),
            ("Changelog", "changelog"),
        ],
        "radio_label": "Upvotes view",
        "radio_elem_id": "upvotes-view-toggle",
        "logs_label": "Upvotes Fetch Logs",
        "logs_lines": 10,
    },
    "likes": {
        "section_label": "likes activity",
        "empty_chart_title": "Likes",
        "empty_logs_text": "Likes activity not fetched yet.",
        "needs_fetch_text": "Likes activity needs to be fetched for the current username/year.",
        "default_mode": "all",
        "palette_name": "blue",
        "bucket_titles": {
            "models": "Model Likes",
            "datasets": "Dataset Likes",
            "spaces": "Space Likes",
        },
        "bucket_log_labels": {
            "models": "model like(s)",
            "datasets": "dataset like(s)",
            "spaces": "space like(s)",
        },
        "activity_type": "like",
        "cache_scope": "likes",
        "classifier": classify_like_event,
        "mode_labels": {
            "models": "model like(s)",
            "datasets": "dataset like(s)",
            "spaces": "space like(s)",
        },
        "button_text": "Fetch likes activity",
        "empty_context_text": "Not logged in · Enter a username to fetch likes activity",
        "radio_choices": [
            ("All", "all"),
            ("Models", "models"),
            ("Datasets", "datasets"),
            ("Spaces", "spaces"),
        ],
        "radio_label": "Likes view",
        "radio_elem_id": "likes-view-toggle",
        "logs_label": "Likes Fetch Logs",
        "logs_lines": 10,
    },
    "papers": {
        "section_label": "papers activity",
        "empty_chart_title": "Papers",
        "empty_logs_text": "Papers activity not fetched yet.",
        "needs_fetch_text": "Papers activity needs to be fetched for the current username/year.",
        "default_mode": "all",
        "palette_name": "teal",
        "bucket_titles": {
            "daily": "Daily Papers",
            "authored": "Authored Papers",
        },
        "bucket_log_labels": {
            "daily": "daily paper submission(s)",
            "authored": "authored paper(s)",
        },
        "activity_type": "update-paper",
        "cache_scope": "papers",
        "classifier": classify_paper_event,
        "mode_labels": {
            "daily": "Daily Papers submission(s)",
            "authored": "authored paper(s)",
        },
        "button_text": "Fetch papers activity",
        "empty_context_text": "Not logged in · Enter a username to fetch papers activity",
        "radio_choices": [
            ("All", "all"),
            ("Daily Papers", "daily"),
            ("Authored", "authored"),
        ],
        "radio_label": "Papers view",
        "radio_elem_id": "papers-view-toggle",
        "logs_label": "Papers Fetch Logs",
        "logs_lines": 10,
    },
}


def empty_single_section_state(section_key: str, selected_year: int):
    cfg = SINGLE_SECTION_CONFIG[section_key]
    return empty_bucketed_activity_state(
        selected_year=selected_year,
        logs_text=cfg["empty_logs_text"],
        bucket_titles=cfg["bucket_titles"],
    )


# ============================================================
# Public activity fetch functions
# ============================================================
def fetch_all_community_activity(username: str, selected_year: int):
    username = (username or "").strip()
    selected_year = int(selected_year)

    cache_key = (username.lower(), selected_year, "community")
    cached = get_cache(cache_key)
    if cached:
        return cached

    if not username:
        state = empty_community_state(selected_year)
        state["fetched"] = True
        state["logs"] = "No username provided."
        set_cache(cache_key, state)
        return state

    processor = CommunityActivityProcessor(username=username)

    result = collect_recent_activity(
        username=username,
        selected_year=selected_year,
        activity_type="discussion",
        processor=processor,
        build_session_fn=build_session,
        rate_limiter_obj=recent_activity_rate_limiter,
    )

    set_cache(cache_key, result)
    return result


def fetch_single_section_activity(section_key: str, username: str, selected_year: int):
    username = (username or "").strip()
    selected_year = int(selected_year)
    cfg = SINGLE_SECTION_CONFIG[section_key]

    cache_key = (username.lower(), selected_year, cfg["cache_scope"])
    cached = get_cache(cache_key)
    if cached:
        return cached

    if not username:
        state = empty_single_section_state(section_key, selected_year)
        state["fetched"] = True
        state["logs"] = "No username provided."
        set_cache(cache_key, state)
        return state

    processor = BucketedActivityProcessor(
        bucket_titles=cfg["bucket_titles"],
        bucket_log_labels=cfg["bucket_log_labels"],
        classifier=cfg["classifier"],
        error_label=cfg["cache_scope"].capitalize(),
    )

    result = collect_recent_activity(
        username=username,
        selected_year=selected_year,
        activity_type=cfg["activity_type"],
        processor=processor,
        build_session_fn=build_session,
        rate_limiter_obj=recent_activity_rate_limiter,
    )

    set_cache(cache_key, result)
    return result


# ============================================================
# Contribution grid helpers
# ============================================================
PALETTES = {
    "green": ["#0e4429", "#006d32", "#26a641", "#39d353"],
    "blue": ["#0a3069", "#0969da", "#54aeff", "#79c0ff"],
    "pink": ["#6e1f4d", "#bf3989", "#db61a2", "#f778ba"],
    "orange": ["#5f370e", "#a14d00", "#d97706", "#f59e0b"],
    "purple": ["#4c1d95", "#6d28d9", "#8b5cf6", "#c4b5fd"],
    "teal": ["#0f766e", "#0d9488", "#14b8a6", "#5eead4"],
}

TOOLTIP_SAFE_COLUMNS = 2


def level_from_count(count: int) -> int:
    if count <= 0:
        return 0
    if count == 1:
        return 1
    if count <= 3:
        return 2
    if count <= 7:
        return 3
    return 4


def level_color(palette_name: str, level: int) -> str:
    if level <= 0:
        return "var(--gh-empty-cell)"
    palette = PALETTES[palette_name]
    return palette[min(level - 1, len(palette) - 1)]


def build_daily_count_map(df: pd.DataFrame):
    if df.empty:
        return {}

    counts = (
        df.copy()
        .assign(date=pd.to_datetime(df["date"]).dt.date, count=1)
        .groupby("date", as_index=False)["count"]
        .sum()
    )
    return {row["date"]: int(row["count"]) for _, row in counts.iterrows()}


def get_calendar_bounds(year: int):
    start = pd.Timestamp(f"{year}-01-01")
    end = pd.Timestamp(f"{year}-12-31")

    grid_start = start - pd.Timedelta(days=start.dayofweek)
    grid_end = end + pd.Timedelta(days=(6 - end.dayofweek))

    all_days = pd.date_range(grid_start, grid_end, freq="D")
    num_weeks = len(all_days) // 7
    return start, end, grid_start, grid_end, all_days, num_weeks


def month_positions_for_year(year: int, grid_start: pd.Timestamp):
    month_starts = pd.date_range(f"{year}-01-01", f"{year}-12-31", freq="MS")
    return [(d.strftime("%b"), int((d - grid_start).days // 7)) for d in month_starts]


# ============================================================
# Name helpers
# ============================================================
def resolve_display_name(
    username: str,
    profile: gr.OAuthProfile | None,
    identity: dict | None = None,
):
    username = (username or "").strip()
    if not username:
        return ""

    profile_username = get_viewer_username(profile)
    profile_name = getattr(profile, "name", None) if profile is not None else None

    if profile_username and profile_username.lower() == username.lower():
        if isinstance(profile_name, str) and profile_name.strip():
            return f"{profile_name.strip()} (@{profile_username})"
        return f"@{profile_username}"

    if identity:
        display_name = identity.get("display_name")
        if isinstance(display_name, str) and display_name.strip():
            return display_name

        fullname = identity.get("fullname")
        identity_username = identity.get("username") or username
        if isinstance(fullname, str) and fullname.strip():
            return f"{fullname.strip()} (@{identity_username})"

        if isinstance(identity_username, str) and identity_username.strip():
            return f"@{identity_username.strip()}"

    return f"@{username}"


# ============================================================
# HTML render helpers
# ============================================================
def render_status_badge(text: str):
    return f'<div class="gh-status">{text}</div>'


def render_metric_cards(
    total_activity: int,
    created_by_type: dict,
    repo_commit_counts_by_type: dict,
    selected_year: int,
):
    return f"""
    <div class="stats-grid">
      <div class="gh-card">
        <div class="gh-card-label">Total activity</div>
        <div class="gh-card-value">{total_activity}</div>
        <div class="gh-card-sub">Creations + repo contributions in {selected_year}</div>
      </div>

      <div class="gh-card">
        <div class="gh-card-label">{REPO_KIND_EMOJIS["model"]} Models created</div>
        <div class="gh-card-value">{created_by_type["model"]}</div>
        <div class="gh-card-sub">{repo_commit_counts_by_type["model"]} contributions on model repos</div>
      </div>

      <div class="gh-card">
        <div class="gh-card-label">{REPO_KIND_EMOJIS["dataset"]} Datasets created</div>
        <div class="gh-card-value">{created_by_type["dataset"]}</div>
        <div class="gh-card-sub">{repo_commit_counts_by_type["dataset"]} contributions on dataset repos</div>
      </div>

      <div class="gh-card">
        <div class="gh-card-label">{REPO_KIND_EMOJIS["space"]} Spaces created</div>
        <div class="gh-card-value">{created_by_type["space"]}</div>
        <div class="gh-card-sub">{repo_commit_counts_by_type["space"]} contributions on space repos</div>
      </div>
    </div>
    """


# ============================================================
# Generic banner helpers
# ============================================================
def viewer_banner_prefix(profile: gr.OAuthProfile | None) -> list[str]:
    viewer = get_viewer_username(profile)
    if viewer:
        return [f"Logged in as <b>{html.escape(viewer)}</b>"]
    return ["Not logged in"]


def render_generic_invalid_banner(username: str, error_text: str | None = None):
    username = (username or "").strip()
    message = error_text or f"Username or org '{username}' was not found."
    return render_status_badge(html.escape(message))


def render_section_idle_banner(
    section_label: str,
    username,
    selected_year,
    profile: gr.OAuthProfile | None,
):
    username = (username or "").strip()
    selected_year = int(selected_year)

    parts = viewer_banner_prefix(profile)

    if not username:
        parts.append(f"Enter a username to fetch {section_label.lower()}")
        return render_status_badge(" · ".join(parts))

    if is_self_view(username, profile):
        parts.append(f"Fetch your {section_label.lower()} or enter another username")
    else:
        parts.append(f"Ready to fetch {section_label.lower()} for <b>{html.escape(username)}</b>")

    parts.append(str(selected_year))
    return render_status_badge(" · ".join(parts))


def render_section_fetching_banner(
    section_label: str,
    username,
    selected_year,
    profile: gr.OAuthProfile | None,
):
    username = (username or "").strip()
    selected_year = int(selected_year)

    if not username:
        return render_section_idle_banner(section_label, "", selected_year, profile)

    parts = viewer_banner_prefix(profile)

    if is_self_view(username, profile):
        parts.append(f"Fetching <b>your {section_label.lower()}</b>")
    else:
        parts.append(f"Fetching {section_label.lower()} for <b>{html.escape(username)}</b>")

    parts.append(str(selected_year))
    return render_status_badge(" · ".join(parts))


def render_section_loaded_banner(
    section_label: str,
    state: dict | None,
    profile: gr.OAuthProfile | None,
):
    year = state.get("selected_year", datetime.now().year) if state else datetime.now().year
    if not state or not state.get("username"):
        return render_section_idle_banner(section_label, "", year, profile)

    username = state["username"]
    selected_year = int(state["selected_year"])

    parts = viewer_banner_prefix(profile)

    if is_self_view(username, profile):
        parts.append(f"Viewing <b>your {section_label.lower()}</b>")
    else:
        parts.append(f"Viewing {section_label.lower()} for <b>{html.escape(username)}</b>")

    parts.append(str(selected_year))
    return render_status_badge(" · ".join(parts))


# ============================================================
# Repo-specific banners
# ============================================================
def render_idle_context_banner(
    username: str,
    profile: gr.OAuthProfile | None,
):
    username = (username or "").strip()
    viewer = get_viewer_username(profile)

    if viewer:
        if not username or username.lower() == viewer.lower():
            return render_status_badge(
                f"Logged in as <b>{html.escape(viewer)}</b> · Fetch your activity or enter another username"
            )
        return render_status_badge(
            f"Logged in as <b>{html.escape(viewer)}</b> · Ready to fetch <b>{html.escape(username)}</b> · Public repos only"
        )

    if username:
        return render_status_badge(
            f"Not logged in · Ready to fetch <b>{html.escape(username)}</b> · Public repos only"
        )

    return render_status_badge("Not logged in · Enter a username to get started")


def render_context_banner(app_state: dict | None, profile: gr.OAuthProfile | None):
    if not app_state or not app_state.get("username"):
        return render_idle_context_banner("", profile)

    username = app_state["username"]
    selected_year = int(app_state["selected_year"])
    is_own = bool(app_state.get("is_own_profile", False))
    can_toggle = bool(app_state.get("can_toggle_visibility", False))
    viewer = get_viewer_username(profile)

    parts = []

    if viewer:
        parts.append(f"Logged in as <b>{html.escape(viewer)}</b>")
    else:
        parts.append("Not logged in")

    if is_self_view(username, profile):
        parts.append("Viewing <b>your activity</b>")
    else:
        parts.append(f"Viewing <b>{html.escape(username)}</b>")

    parts.append(str(selected_year))

    if is_own and can_toggle:
        parts.append("Private repos available")
    else:
        parts.append("Public repos only")

    return render_status_badge(" · ".join(parts))


def render_fetching_context_banner(
    username,
    selected_year,
    profile: gr.OAuthProfile | None,
):
    username = (username or "").strip()
    selected_year = int(selected_year)
    viewer = get_viewer_username(profile)

    if not username:
        return render_idle_context_banner("", profile)

    parts = []

    if viewer:
        parts.append(f"Logged in as <b>{html.escape(viewer)}</b>")
    else:
        parts.append("Not logged in")

    if is_self_view(username, profile):
        parts.append("Fetching <b>your activity</b>")
        parts.append(str(selected_year))
        parts.append("Checking public and private repos")
    else:
        parts.append(f"Fetching <b>{html.escape(username)}</b>")
        parts.append(str(selected_year))
        parts.append("Checking public repos")

    return render_status_badge(" · ".join(parts))


def render_empty_chart(title: str):
    safe_title = html.escape(title)
    return f"""
    <div class="gh-chart-card">
      <div class="gh-chart-header">
        <div class="gh-chart-title">{safe_title}</div>
      </div>
      <div class="gh-empty">No activity found.</div>
    </div>
    """


def render_contrib_chart(
    df: pd.DataFrame,
    year: int,
    title: str,
    palette_name: str = "green",
    subtitle: str | None = None,
):
    safe_title = html.escape(title)
    safe_subtitle = html.escape(subtitle) if subtitle else ""

    counts_map = build_daily_count_map(df)
    year_start, year_end, grid_start, _, all_days, num_weeks = get_calendar_bounds(year)
    months = month_positions_for_year(year, grid_start)

    padded_weeks = num_weeks + (2 * TOOLTIP_SAFE_COLUMNS)

    cells_html = []
    total = 0

    for day in all_days:
        day_date = day.date()
        in_year = year_start.date() <= day_date <= year_end.date()
        count = counts_map.get(day_date, 0) if in_year else 0
        total += count

        week = int((day - grid_start).days // 7)
        display_week = week + TOOLTIP_SAFE_COLUMNS
        dow = int(day.dayofweek)
        level = level_from_count(count)
        color = level_color(palette_name, level) if in_year else "transparent"
        label = f"{count} contribution{'s' if count != 1 else ''} on {day.strftime('%b %d, %Y')}"

        if in_year:
            classes = ["gh-cell"]
            if dow == 0:
                classes.append("gh-tooltip-bottom")
            if week <= 1:
                classes.append("gh-tooltip-right")
            elif week >= num_weeks - 2:
                classes.append("gh-tooltip-left")

            class_attr = " ".join(classes)
            safe_label = html.escape(label)

            cells_html.append(
                f"""
                <button
                  type="button"
                  class="{class_attr}"
                  style="grid-column:{display_week + 1}; grid-row:{dow + 1}; background:{color};"
                  aria-label="{safe_label}"
                  title="{safe_label}"
                >
                  <span class="gh-tooltip">{safe_label}</span>
                </button>
                """
            )
        else:
            cells_html.append(
                f"""
                <div
                  class="gh-cell gh-cell-outside"
                  style="grid-column:{display_week + 1}; grid-row:{dow + 1}; background:{color};"
                  aria-hidden="true"
                ></div>
                """
            )

    month_labels = []
    for label, pos in months:
        display_pos = pos + TOOLTIP_SAFE_COLUMNS
        month_labels.append(
            f'<div class="gh-month-label" style="grid-column:{display_pos + 1};">{html.escape(label)}</div>'
        )

    legend_colors = ["var(--gh-empty-cell)"] + PALETTES[palette_name]
    legend_html = "".join(
        f'<span class="gh-legend-cell" style="background:{c};"></span>' for c in legend_colors
    )

    subtitle_html = f'<div class="gh-chart-subtitle">{safe_subtitle}</div>' if subtitle else ""

    return f"""
    <div class="gh-chart-card">
      <div class="gh-chart-header">
        <div>
          <div class="gh-chart-title">{safe_title}</div>
          {subtitle_html}
        </div>
        <div class="gh-chart-total">{total} contributions</div>
      </div>

      <div class="gh-chart-wrap">
        <div class="gh-chart-inner">
          <div class="gh-months" style="grid-template-columns: repeat({int(padded_weeks - 2)}, minmax(0, 1fr));">
            {''.join(month_labels)}
          </div>

          <div class="gh-grid-area">
            <div class="gh-weekday weekday-mon">Mon</div>
            <div class="gh-weekday weekday-wed">Wed</div>
            <div class="gh-weekday weekday-fri">Fri</div>

            <div class="gh-grid" style="grid-template-columns: repeat({int(padded_weeks - 2)}, minmax(0, 1fr));">
              {''.join(cells_html)}
            </div>
          </div>
        </div>
      </div>

      <div class="gh-legend">
        <span class="gh-legend-text">Less</span>
        {legend_html}
        <span class="gh-legend-text">More</span>
      </div>
    </div>
    """


def merge_dates(opened_dates: list, activity_dates: list, mode: str):
    if mode == "opened":
        return list(opened_dates)
    if mode == "activity":
        return list(activity_dates)
    return list(opened_dates) + list(activity_dates)


def render_dual_mode_chart(
    state: dict | None,
    *,
    opened_key: str,
    activity_key: str,
    mode: str,
    username: str,
    year: int,
    title: str,
    palette_name: str,
    opened_label: str,
    activity_label: str,
    total_label: str,
):
    if not state or not state.get("fetched"):
        return render_empty_chart(title)

    opened = state[opened_key]["dates"]
    activity = state[activity_key]["dates"]
    merged = merge_dates(opened, activity, mode)
    df = pd.DataFrame(merged, columns=["date"])

    subtitle = {
        "opened": f"{len(opened)} {opened_label} by {username} in {year}",
        "activity": f"{len(activity)} {activity_label} for {username} in {year}",
        "both": f"{len(opened) + len(activity)} total {total_label} for {username} in {year}",
    }[mode]

    return render_contrib_chart(
        df,
        year,
        title,
        palette_name=palette_name,
        subtitle=subtitle,
    )


def render_pr_combined_chart(community_state: dict | None, mode: str, username: str, year: int):
    return render_dual_mode_chart(
        community_state,
        opened_key="pr_opened",
        activity_key="pr_activity",
        mode=mode,
        username=username,
        year=year,
        title="Pull Requests",
        palette_name="purple",
        opened_label="PRs opened",
        activity_label="PR follow-up events",
        total_label="PR events",
    )


def render_discussion_combined_chart(community_state: dict | None, mode: str, username: str, year: int):
    return render_dual_mode_chart(
        community_state,
        opened_key="thread_opened",
        activity_key="discussion_activity",
        mode=mode,
        username=username,
        year=year,
        title="Community Discussions",
        palette_name="teal",
        opened_label="threads opened",
        activity_label="discussion follow-up events",
        total_label="discussion events",
    )


def render_single_section_chart(section_key: str, state: dict | None, mode: str, username: str, year: int):
    cfg = SINGLE_SECTION_CONFIG[section_key]

    if not state or not state.get("fetched"):
        return render_empty_chart(cfg["empty_chart_title"])

    bucket_keys = list(cfg["bucket_titles"].keys())
    bucket_dates = {key: state[key]["dates"] for key in bucket_keys}

    if mode in bucket_dates:
        merged = list(bucket_dates[mode])
        subtitle = f"{len(merged)} {cfg['mode_labels'][mode]} by {username} in {year}"
    else:
        merged = [d for key in bucket_keys for d in bucket_dates[key]]
        subtitle = f"{len(merged)} total {cfg['empty_chart_title'].lower()} event(s) by {username} in {year}"

    df = pd.DataFrame(merged, columns=["date"])

    return render_contrib_chart(
        df,
        year,
        cfg["empty_chart_title"],
        palette_name=cfg["palette_name"],
        subtitle=subtitle,
    )


# ============================================================
# App state + render layer
# ============================================================
def build_empty_repo_kind_data():
    return {
        kind: {"total_items": 0, "repos": [], "errors": []}
        for kind in REPO_KINDS
    }


def build_empty_app_state(
    username: str,
    selected_year: int,
    viewer_username: str | None = None,
    identity: dict | None = None,
):
    resolved_identity = identity or (
        validate_username(username, None) if username else empty_identity("", "No username provided.")
    )

    return {
        "username": username,
        "selected_year": int(selected_year),
        "viewer_username": viewer_username,
        "is_own_profile": False,
        "can_toggle_visibility": False,
        "default_visibility": "public",
        "kind_repo_data": build_empty_repo_kind_data(),
        "identity": resolved_identity,
        "is_valid_username": bool(resolved_identity.get("exists")),
        "validation_error": resolved_identity.get("error"),
    }


def build_app_state(
    username: str,
    selected_year: int,
    profile: gr.OAuthProfile | None,
    oauth_token: gr.OAuthToken | None,
):
    username = (username or "").strip()
    selected_year = int(selected_year)

    viewer_username = get_viewer_username(profile)
    token = oauth_token.token if oauth_token is not None else None

    if not username:
        return build_empty_app_state(username, selected_year, viewer_username)

    identity = validate_username(username, profile)
    if not identity.get("exists"):
        return {
            **build_empty_app_state(
                username,
                selected_year,
                viewer_username,
                identity=identity,
            ),
            "identity": identity,
            "is_valid_username": False,
            "validation_error": identity.get("error") or f"Username or org '{username}' was not found.",
        }

    is_own_profile = bool(
        viewer_username
        and username
        and viewer_username.lower() == username.lower()
        and token
    )
    can_toggle_visibility = is_own_profile
    token_for_fetch = token if is_own_profile else None

    scope = "repo_private" if is_own_profile else "repo_public"
    cache_key = (username.lower(), selected_year, scope)
    cached = get_cache(cache_key)
    if cached:
        cached_with_identity = dict(cached)
        cached_with_identity["identity"] = identity
        cached_with_identity["is_valid_username"] = True
        cached_with_identity["validation_error"] = None
        return cached_with_identity

    kind_repo_data = {}
    for kind in REPO_KINDS:
        kind_repo_data[kind] = collect_kind_repo_entries(
            username=username,
            kind=kind,
            selected_year=selected_year,
            token=token_for_fetch,
        )

    result = {
        "username": username,
        "selected_year": selected_year,
        "viewer_username": viewer_username,
        "is_own_profile": is_own_profile,
        "can_toggle_visibility": can_toggle_visibility,
        "default_visibility": "all" if can_toggle_visibility else "public",
        "kind_repo_data": kind_repo_data,
        "identity": identity,
        "is_valid_username": True,
        "validation_error": None,
    }

    set_cache(cache_key, result)
    return result


def render_invalid_app_state(app_state: dict | None):
    username = (app_state or {}).get("username", "")
    selected_year = int((app_state or {}).get("selected_year", datetime.now().year))
    error_text = (app_state or {}).get("validation_error") or f"Username or org '{username}' was not found."

    empty_counts = {kind: 0 for kind in REPO_KINDS}
    empty_metrics = render_metric_cards(
        0,
        empty_counts,
        empty_counts,
        selected_year,
    )

    return (
        "## Ready",
        render_generic_invalid_banner(username, error_text),
        empty_metrics,
        render_empty_chart("All activity"),
        render_empty_chart("Models"),
        render_empty_chart("Datasets"),
        render_empty_chart("Spaces"),
        error_text,
    )


def render_app_state(
    app_state: dict | None,
    visibility_mode: str | None,
    profile: gr.OAuthProfile | None,
):
    if not app_state or not app_state.get("username"):
        selected_year = datetime.now().year
        empty_counts = {kind: 0 for kind in REPO_KINDS}
        empty_metrics = render_metric_cards(
            0,
            empty_counts,
            empty_counts,
            selected_year,
        )
        context_html = render_idle_context_banner("", profile)
        return (
            "## Ready",
            context_html,
            empty_metrics,
            render_empty_chart("All activity"),
            render_empty_chart("Models"),
            render_empty_chart("Datasets"),
            render_empty_chart("Spaces"),
            "No username provided.",
        )

    if not app_state.get("is_valid_username", True):
        return render_invalid_app_state(app_state)

    username = app_state["username"]
    selected_year = int(app_state["selected_year"])
    can_toggle_visibility = bool(app_state["can_toggle_visibility"])

    effective_visibility = "all" if (visibility_mode == "all" and can_toggle_visibility) else "public"
    include_private = effective_visibility == "all"

    kind_views = {}
    warnings = []

    for kind in REPO_KINDS:
        kind_data = app_state["kind_repo_data"][kind]
        kind_views[kind] = aggregate_repo_entries(
            kind_data["repos"],
            include_private=include_private,
        )
        warnings.extend(kind_data["errors"])

    total_activity = sum(v["activity_count"] for v in kind_views.values())

    all_activity_dates = []
    for kind in REPO_KINDS:
        all_activity_dates.extend(kind_views[kind]["activity_dates"])

    all_df = pd.DataFrame(all_activity_dates, columns=["date"])
    kind_dfs = {
        kind: pd.DataFrame(kind_views[kind]["activity_dates"], columns=["date"])
        for kind in REPO_KINDS
    }

    context_html = render_context_banner(app_state, profile)
    display_name = resolve_display_name(username, profile, app_state.get("identity"))

    metrics_html = render_metric_cards(
        total_activity=total_activity,
        created_by_type={kind: kind_views[kind]["created_count"] for kind in REPO_KINDS},
        repo_commit_counts_by_type={kind: kind_views[kind]["repo_commit_count"] for kind in REPO_KINDS},
        selected_year=selected_year,
    )

    all_chart_html = render_contrib_chart(
        all_df,
        selected_year,
        f"{display_name}'s activity",
        palette_name="green",
        subtitle=f"Repo creations + repo contributions in {selected_year}",
    )

    kind_chart_html = {}
    for kind in REPO_KINDS:
        kind_chart_html[kind] = render_contrib_chart(
            kind_dfs[kind],
            selected_year,
            REPO_KIND_LABELS[kind],
            palette_name=REPO_KIND_PALETTES[kind],
            subtitle=(
                f'{kind_views[kind]["created_count"]} created • '
                f'{kind_views[kind]["repo_commit_count"]} repo contributions'
            ),
        )

    logs_text = "\n".join(warnings) if warnings else "Done."

    return (
        f"## {display_name}'s activity in {selected_year}",
        context_html,
        metrics_html,
        all_chart_html,
        kind_chart_html["model"],
        kind_chart_html["dataset"],
        kind_chart_html["space"],
        logs_text,
    )


# ============================================================
# Standardized section responses
# ============================================================
def build_invalid_single_section_response(
    section_key: str,
    username: str,
    selected_year: int,
    identity: dict,
):
    cfg = SINGLE_SECTION_CONFIG[section_key]
    state = build_invalid_section_state(
        username,
        selected_year,
        lambda y: empty_single_section_state(section_key, y),
        identity,
    )
    return (
        state,
        render_generic_invalid_banner(username, identity.get("error")),
        gr.update(value=cfg["default_mode"], visible="hidden"),
        render_empty_chart(cfg["empty_chart_title"]),
        state["logs"],
    )


def build_idle_single_section_response(
    section_key: str,
    username: str,
    selected_year: int,
    profile: gr.OAuthProfile | None,
    logs_text: str | None = None,
):
    cfg = SINGLE_SECTION_CONFIG[section_key]
    state = empty_single_section_state(section_key, selected_year)
    return (
        state,
        render_section_idle_banner(cfg["section_label"], username, selected_year, profile),
        gr.update(value=cfg["default_mode"], visible="hidden"),
        render_empty_chart(cfg["empty_chart_title"]),
        logs_text or cfg["empty_logs_text"],
    )


def build_invalid_community_response(
    username: str,
    selected_year: int,
    identity: dict,
):
    state = build_invalid_section_state(username, selected_year, empty_community_state, identity)
    return (
        state,
        render_generic_invalid_banner(username, identity.get("error")),
        gr.update(value="both", visible="hidden"),
        render_empty_chart("Pull Requests"),
        gr.update(value="both", visible="hidden"),
        render_empty_chart("Community Discussions"),
        state["logs"],
    )


def build_idle_community_response(
    username: str,
    selected_year: int,
    profile: gr.OAuthProfile | None,
    logs_text: str,
):
    state = empty_community_state(selected_year)
    return (
        state,
        render_section_idle_banner("community activity", username, selected_year, profile),
        gr.update(value="both", visible="hidden"),
        render_empty_chart("Pull Requests"),
        gr.update(value="both", visible="hidden"),
        render_empty_chart("Community Discussions"),
        logs_text,
    )


# ============================================================
# Stable return-based fetch / reset logic
# ============================================================
def prepare_repo_fetch_ui(
    username,
    selected_year,
    current_visibility_mode,
    profile: gr.OAuthProfile | None,
):
    username = (username or "").strip()
    _ = int(selected_year)

    if is_self_view(username, profile):
        value = current_visibility_mode if current_visibility_mode in {"all", "public"} else "all"
        visibility_update = gr.update(
            choices=[("All repos", "all"), ("Public only", "public")],
            value=value,
            visible=True,
            interactive=True,
        )
    else:
        visibility_update = gr.update(
            choices=[("All repos", "all"), ("Public only", "public")],
            value="public",
            visible="hidden",
            interactive=False,
        )

    return render_fetching_context_banner(username, selected_year, profile), visibility_update


def fetch_and_render_repo_only(
    username,
    selected_year,
    current_visibility_mode,
    profile: gr.OAuthProfile | None,
    oauth_token: gr.OAuthToken | None,
):
    username = (username or "").strip()
    selected_year = int(selected_year)

    app_state = build_app_state(username, selected_year, profile, oauth_token)

    if not app_state.get("is_valid_username", True):
        title_md, context_box, metrics_box, all_chart, model_chart, dataset_chart, space_chart, logs_box = render_invalid_app_state(
            app_state
        )
        visibility_update = gr.update(
            choices=[("All repos", "all"), ("Public only", "public")],
            value="public",
            visible="hidden",
            interactive=False,
        )
        return (
            app_state,
            title_md,
            context_box,
            visibility_update,
            metrics_box,
            all_chart,
            model_chart,
            dataset_chart,
            space_chart,
            logs_box,
        )

    requested_visibility = current_visibility_mode if current_visibility_mode in {"all", "public"} else app_state["default_visibility"]
    final_visibility = requested_visibility if app_state["can_toggle_visibility"] else "public"

    title_md, context_box, metrics_box, all_chart, model_chart, dataset_chart, space_chart, logs_box = render_app_state(
        app_state,
        final_visibility,
        profile,
    )

    visibility_update = gr.update(
        choices=[("All repos", "all"), ("Public only", "public")],
        value=final_visibility,
        visible=True if app_state["can_toggle_visibility"] else "hidden",
        interactive=bool(app_state["can_toggle_visibility"]),
    )

    return (
        app_state,
        title_md,
        context_box,
        visibility_update,
        metrics_box,
        all_chart,
        model_chart,
        dataset_chart,
        space_chart,
        logs_box,
    )


def rerender_from_state(app_state, visibility_mode, profile: gr.OAuthProfile | None):
    return render_app_state(app_state, visibility_mode, profile)


def maybe_reset_community_section(
    current_community_state,
    username,
    selected_year,
    pr_mode,
    discussion_mode,
    profile: gr.OAuthProfile | None,
):
    username = (username or "").strip()
    selected_year = int(selected_year)
    pr_mode = pr_mode or "both"
    discussion_mode = discussion_mode or "both"

    identity = resolve_identity(username, profile)
    if is_invalid_identity(identity, username):
        return build_invalid_community_response(username, selected_year, identity)

    if not current_community_state:
        return build_idle_community_response(
            username,
            selected_year,
            profile,
            "Community activity not fetched yet.",
        )

    previous_username = (current_community_state.get("username") or "").strip()
    previous_year = int(current_community_state.get("selected_year") or selected_year)

    same_username = previous_username.lower() == username.lower()
    same_year = previous_year == selected_year

    if same_username and same_year and current_community_state.get("fetched"):
        pr_chart = render_pr_combined_chart(
            current_community_state,
            pr_mode,
            username=username,
            year=selected_year,
        )
        discussion_chart = render_discussion_combined_chart(
            current_community_state,
            discussion_mode,
            username=username,
            year=selected_year,
        )
        return (
            current_community_state,
            render_section_loaded_banner("community activity", current_community_state, profile),
            gr.update(value=pr_mode, visible=True),
            pr_chart,
            gr.update(value=discussion_mode, visible=True),
            discussion_chart,
            current_community_state.get("logs", "Community activity already fetched."),
        )

    return build_idle_community_response(
        username,
        selected_year,
        profile,
        "Community activity needs to be fetched for the current username/year.",
    )


def prepare_single_section_fetch_ui(
    section_key: str,
    username,
    selected_year,
    profile: gr.OAuthProfile | None,
):
    username = (username or "").strip()
    section_label = SINGLE_SECTION_CONFIG[section_key]["section_label"]

    identity = resolve_identity(username, profile)
    if is_invalid_identity(identity, username):
        return render_generic_invalid_banner(username, identity.get("error"))

    return render_section_fetching_banner(section_label, username, selected_year, profile)


def maybe_reset_single_chart_section(
    section_key: str,
    current_state,
    username,
    selected_year,
    mode,
    profile: gr.OAuthProfile | None,
):
    cfg = SINGLE_SECTION_CONFIG[section_key]

    username = (username or "").strip()
    selected_year = int(selected_year)
    mode = mode or cfg["default_mode"]

    identity = resolve_identity(username, profile)
    if is_invalid_identity(identity, username):
        return build_invalid_single_section_response(section_key, username, selected_year, identity)

    if not current_state:
        return build_idle_single_section_response(
            section_key,
            username,
            selected_year,
            profile,
            cfg["empty_logs_text"],
        )

    previous_username = (current_state.get("username") or "").strip()
    previous_year = int(current_state.get("selected_year") or selected_year)

    same_username = previous_username.lower() == username.lower()
    same_year = previous_year == selected_year

    if same_username and same_year and current_state.get("fetched"):
        chart = render_single_section_chart(
            section_key,
            current_state,
            mode,
            username=username,
            year=selected_year,
        )
        return (
            current_state,
            render_section_loaded_banner(cfg["section_label"], current_state, profile),
            gr.update(value=mode, visible=True),
            chart,
            current_state.get("logs", "Already fetched."),
        )

    return build_idle_single_section_response(
        section_key,
        username,
        selected_year,
        profile,
        cfg["needs_fetch_text"],
    )


def fetch_and_render_single_chart_section(
    section_key: str,
    current_state,
    username,
    selected_year,
    mode,
    profile: gr.OAuthProfile | None,
):
    _ = current_state
    cfg = SINGLE_SECTION_CONFIG[section_key]

    username = (username or "").strip()
    selected_year = int(selected_year)
    mode = mode or cfg["default_mode"]

    identity = resolve_identity(username, profile)
    if is_invalid_identity(identity, username):
        state, context_box, mode_update, chart, logs_text = build_invalid_single_section_response(
            section_key,
            username,
            selected_year,
            identity,
        )
        return (
            state,
            context_box,
            chart,
            logs_text,
            mode_update,
        )

    state = fetch_single_section_activity(section_key, username, selected_year)

    chart = render_single_section_chart(
        section_key,
        state,
        mode,
        username=username,
        year=selected_year,
    )

    return (
        state,
        render_section_loaded_banner(cfg["section_label"], state, profile),
        chart,
        state["logs"],
        gr.update(value=mode, visible=True),
    )


def rerender_single_chart_from_state(section_key: str, state, mode):
    cfg = SINGLE_SECTION_CONFIG[section_key]
    if not state:
        return render_empty_chart(cfg["empty_chart_title"])
    return render_single_section_chart(
        section_key,
        state,
        mode or cfg["default_mode"],
        username=(state.get("username") or ""),
        year=int(state.get("selected_year") or datetime.now().year),
    )


def prepare_community_fetch_ui(username, selected_year, profile: gr.OAuthProfile | None):
    username = (username or "").strip()
    identity = resolve_identity(username, profile)
    if is_invalid_identity(identity, username):
        return render_generic_invalid_banner(username, identity.get("error"))
    return render_section_fetching_banner("community activity", username, selected_year, profile)


def fetch_and_render_community(
    current_state,
    username,
    selected_year,
    pr_mode,
    discussion_mode,
    profile: gr.OAuthProfile | None,
):
    username = (username or "").strip()
    selected_year = int(selected_year)
    pr_mode = pr_mode or "both"
    discussion_mode = discussion_mode or "both"

    identity = resolve_identity(username, profile)
    if is_invalid_identity(identity, username):
        state, context_box, pr_mode_update, pr_chart, discussion_mode_update, discussion_chart, logs_text = build_invalid_community_response(
            username,
            selected_year,
            identity,
        )
        return (
            state,
            context_box,
            pr_chart,
            discussion_chart,
            logs_text,
            pr_mode_update,
            discussion_mode_update,
        )

    state = fetch_all_community_activity(username, selected_year)

    pr_chart = render_pr_combined_chart(
        state,
        pr_mode,
        username=username,
        year=selected_year,
    )

    discussion_chart = render_discussion_combined_chart(
        state,
        discussion_mode,
        username=username,
        year=selected_year,
    )

    return (
        state,
        render_section_loaded_banner("community activity", state, profile),
        pr_chart,
        discussion_chart,
        state["logs"],
        gr.update(value=pr_mode, visible=True),
        gr.update(value=discussion_mode, visible=True),
    )


def rerender_pr_from_state(community_state, pr_mode):
    if not community_state:
        return render_empty_chart("Pull Requests")
    return render_pr_combined_chart(
        community_state,
        pr_mode or "both",
        username=(community_state.get("username") or ""),
        year=int(community_state.get("selected_year") or datetime.now().year),
    )


def rerender_discussions_from_state(community_state, discussion_mode):
    if not community_state:
        return render_empty_chart("Community Discussions")
    return render_discussion_combined_chart(
        community_state,
        discussion_mode or "both",
        username=(community_state.get("username") or ""),
        year=int(community_state.get("selected_year") or datetime.now().year),
    )


# ============================================================
# Explicit wrappers for single sections
# ============================================================
def prepare_upvotes_fetch_ui(username, selected_year, profile: gr.OAuthProfile | None):
    return prepare_single_section_fetch_ui("upvotes", username, selected_year, profile)


def prepare_likes_fetch_ui(username, selected_year, profile: gr.OAuthProfile | None):
    return prepare_single_section_fetch_ui("likes", username, selected_year, profile)


def prepare_papers_fetch_ui(username, selected_year, profile: gr.OAuthProfile | None):
    return prepare_single_section_fetch_ui("papers", username, selected_year, profile)


def fetch_and_render_upvotes_section(
    current_state,
    username,
    selected_year,
    mode,
    profile: gr.OAuthProfile | None,
):
    return fetch_and_render_single_chart_section(
        "upvotes",
        current_state,
        username,
        selected_year,
        mode,
        profile,
    )


def fetch_and_render_likes_section(
    current_state,
    username,
    selected_year,
    mode,
    profile: gr.OAuthProfile | None,
):
    return fetch_and_render_single_chart_section(
        "likes",
        current_state,
        username,
        selected_year,
        mode,
        profile,
    )


def fetch_and_render_papers_section(
    current_state,
    username,
    selected_year,
    mode,
    profile: gr.OAuthProfile | None,
):
    return fetch_and_render_single_chart_section(
        "papers",
        current_state,
        username,
        selected_year,
        mode,
        profile,
    )


def rerender_upvotes_from_state(state, mode):
    return rerender_single_chart_from_state("upvotes", state, mode)


def rerender_likes_from_state(state, mode):
    return rerender_single_chart_from_state("likes", state, mode)


def rerender_papers_from_state(state, mode):
    return rerender_single_chart_from_state("papers", state, mode)


def maybe_reset_upvotes_section(
    current_state,
    username,
    selected_year,
    mode,
    profile: gr.OAuthProfile | None,
):
    return maybe_reset_single_chart_section(
        "upvotes",
        current_state,
        username,
        selected_year,
        mode,
        profile,
    )


def maybe_reset_likes_section(
    current_state,
    username,
    selected_year,
    mode,
    profile: gr.OAuthProfile | None,
):
    return maybe_reset_single_chart_section(
        "likes",
        current_state,
        username,
        selected_year,
        mode,
        profile,
    )


def maybe_reset_papers_section(
    current_state,
    username,
    selected_year,
    mode,
    profile: gr.OAuthProfile | None,
):
    return maybe_reset_single_chart_section(
        "papers",
        current_state,
        username,
        selected_year,
        mode,
        profile,
    )


def hydrate_header_on_load(
    current_username,
    selected_year,
    profile: gr.OAuthProfile | None,
):
    current_username = (current_username or "").strip()
    selected_year = int(selected_year)
    profile_username = get_viewer_username(profile)

    username_update = gr.update()
    effective_username = current_username

    if not effective_username and profile_username:
        username_update = gr.update(value=profile_username)
        effective_username = profile_username

    repo_context_html = render_idle_context_banner(effective_username, profile)
    community_context_html = render_section_idle_banner("community activity", effective_username, selected_year, profile)
    upvotes_context_html = render_section_idle_banner("upvotes activity", effective_username, selected_year, profile)
    likes_context_html = render_section_idle_banner("likes activity", effective_username, selected_year, profile)
    papers_context_html = render_section_idle_banner("papers activity", effective_username, selected_year, profile)

    return (
        username_update,
        repo_context_html,
        community_context_html,
        upvotes_context_html,
        likes_context_html,
        papers_context_html,
    )


# ============================================================
# UI helpers
# ============================================================
def build_single_chart_section_ui(section_key: str):
    cfg = SINGLE_SECTION_CONFIG[section_key]

    gr.Markdown(f"## {cfg['section_label'].capitalize()}")

    fetch_button = gr.Button(cfg["button_text"], variant="secondary")
    context_box = gr.HTML(render_status_badge(cfg["empty_context_text"]))

    with gr.Column(elem_classes="toggles-container"):
        view_mode = gr.Radio(
            choices=cfg["radio_choices"],
            value=cfg["default_mode"],
            label=cfg["radio_label"],
            visible="hidden",
            elem_classes=["gh-toggle-radio"],
            elem_id=cfg["radio_elem_id"],
        )

    chart = gr.HTML(render_empty_chart(cfg["empty_chart_title"]))
    logs_box = gr.Textbox(
        label=cfg["logs_label"],
        interactive=False,
        lines=cfg["logs_lines"],
        value=cfg["empty_logs_text"],
    )

    return {
        "fetch_button": fetch_button,
        "context_box": context_box,
        "view_mode": view_mode,
        "chart": chart,
        "logs_box": logs_box,
    }


def wire_single_chart_section(
    *,
    fetch_button,
    context_box,
    state_component,
    mode_component,
    chart_component,
    logs_component,
    username_component,
    year_component,
    prepare_fn,
    fetch_fn,
    rerender_fn,
):
    fetch_button.click(
        fn=prepare_fn,
        inputs=[username_component, year_component],
        outputs=context_box,
        show_progress="hidden",
    ).then(
        fn=fetch_fn,
        inputs=[state_component, username_component, year_component, mode_component],
        outputs=[state_component, context_box, chart_component, logs_component, mode_component],
        show_progress="full",
        show_progress_on=[chart_component, logs_component],
    )

    mode_component.change(
        fn=rerender_fn,
        inputs=[state_component, mode_component],
        outputs=chart_component,
        show_progress="hidden",
    )


# ============================================================
# UI
# ============================================================
year_options = list(range(datetime.now().year, 2017, -1))

with gr.Blocks(title="HF Contributions") as demo:
    app_state = gr.State(value=None)
    community_state = gr.State(value=None)

    section_states = {
        section_key: gr.State(value=None)
        for section_key in SINGLE_SECTION_CONFIG
    }

    gr.Markdown("# 🤗 Hugging Face Contributions")

    with gr.Row(elem_id="top-controls"):
        gr.LoginButton("Sign in with Hugging Face", logout_value="Logout ({})")
        username = gr.Textbox(
            label="Username / org",
            placeholder="Enter a Hugging Face username or org",
            scale=3,
        )
        selected_year = gr.Dropdown(
            choices=year_options,
            value=year_options[0],
            label="Year",
            scale=1,
        )
        run_button = gr.Button("Fetch activity", variant="primary", scale=1)

    context_box = gr.HTML(
        render_status_badge("Not logged in · Enter a username to get started")
    )

    title_md = gr.Markdown("## Ready")

    with gr.Column(elem_classes="toggles-container"):
        visibility_mode = gr.Radio(
            choices=[("All repos", "all"), ("Public only", "public")],
            value="public",
            label="Visibility",
            visible="hidden",
            interactive=False,
            elem_classes=["gh-toggle-radio"],
            elem_id="repo-visibility-toggle",
        )

    zero_counts = {kind: 0 for kind in REPO_KINDS}
    metrics_box = gr.HTML(
        render_metric_cards(
            0,
            zero_counts,
            zero_counts,
            year_options[0],
        )
    )

    all_chart = gr.HTML(render_empty_chart("All activity"))
    model_chart = gr.HTML(render_empty_chart("Models"))
    dataset_chart = gr.HTML(render_empty_chart("Datasets"))
    space_chart = gr.HTML(render_empty_chart("Spaces"))

    logs_box = gr.Textbox(label="Logs / Warnings", interactive=False, lines=8)

    gr.Markdown("## Community activity")

    fetch_community_button = gr.Button("Fetch community activity", variant="secondary")
    community_context_box = gr.HTML(
        render_status_badge("Not logged in · Enter a username to fetch community activity")
    )

    with gr.Column(elem_classes="toggles-container"):
        pr_view_mode = gr.Radio(
            choices=[
                ("Opened", "opened"),
                ("Follow-up", "activity"),
                ("Both", "both"),
            ],
            value="both",
            label="Pull Requests view",
            visible="hidden",
            elem_classes=["gh-toggle-radio"],
            elem_id="pr-view-toggle",
        )

    pr_chart = gr.HTML(render_empty_chart("Pull Requests"))

    with gr.Column(elem_classes="toggles-container"):
        discussion_view_mode = gr.Radio(
            choices=[
                ("Opened", "opened"),
                ("Follow-up", "activity"),
                ("Both", "both"),
            ],
            value="both",
            label="Community Discussions view",
            visible="hidden",
            elem_classes=["gh-toggle-radio"],
            elem_id="discussion-view-toggle",
        )

    discussion_chart = gr.HTML(render_empty_chart("Community Discussions"))

    community_logs_box = gr.Textbox(
        label="Community Fetch Logs",
        interactive=False,
        lines=12,
        value="Community activity not fetched yet.",
    )

    single_section_components = {}
    for section_key in ("upvotes", "likes", "papers"):
        single_section_components[section_key] = build_single_chart_section_ui(section_key)

    repo_fetch_outputs = [
        app_state,
        title_md,
        context_box,
        visibility_mode,
        metrics_box,
        all_chart,
        model_chart,
        dataset_chart,
        space_chart,
        logs_box,
    ]

    repo_render_outputs = [
        title_md,
        context_box,
        metrics_box,
        all_chart,
        model_chart,
        dataset_chart,
        space_chart,
        logs_box,
    ]

    community_reset_outputs = [
        community_state,
        community_context_box,
        pr_view_mode,
        pr_chart,
        discussion_view_mode,
        discussion_chart,
        community_logs_box,
    ]

    community_fetch_outputs = [
        community_state,
        community_context_box,
        pr_chart,
        discussion_chart,
        community_logs_box,
        pr_view_mode,
        discussion_view_mode,
    ]

    single_section_outputs = {}
    for section_key, components in single_section_components.items():
        single_section_outputs[f"{section_key}_reset"] = [
            section_states[section_key],
            components["context_box"],
            components["view_mode"],
            components["chart"],
            components["logs_box"],
        ]
        single_section_outputs[f"{section_key}_fetch"] = [
            section_states[section_key],
            components["context_box"],
            components["chart"],
            components["logs_box"],
            components["view_mode"],
        ]

    demo.load(
        fn=hydrate_header_on_load,
        inputs=[username, selected_year],
        outputs=[username, context_box, community_context_box]
        + [single_section_components[k]["context_box"] for k in ("upvotes", "likes", "papers")],
        show_progress="hidden",
    )

    repo_chain = run_button.click(
        fn=prepare_repo_fetch_ui,
        inputs=[username, selected_year, visibility_mode],
        outputs=[context_box, visibility_mode],
        show_progress="hidden",
    ).then(
        fn=fetch_and_render_repo_only,
        inputs=[username, selected_year, visibility_mode],
        outputs=repo_fetch_outputs,
        show_progress="full",
        show_progress_on=[
            metrics_box,
            all_chart,
            model_chart,
            dataset_chart,
            space_chart,
            logs_box,
        ],
    ).then(
        fn=maybe_reset_community_section,
        inputs=[community_state, username, selected_year, pr_view_mode, discussion_view_mode],
        outputs=community_reset_outputs,
        show_progress="hidden",
    ).then(
        fn=maybe_reset_upvotes_section,
        inputs=[
            section_states["upvotes"],
            username,
            selected_year,
            single_section_components["upvotes"]["view_mode"],
        ],
        outputs=single_section_outputs["upvotes_reset"],
        show_progress="hidden",
    ).then(
        fn=maybe_reset_likes_section,
        inputs=[
            section_states["likes"],
            username,
            selected_year,
            single_section_components["likes"]["view_mode"],
        ],
        outputs=single_section_outputs["likes_reset"],
        show_progress="hidden",
    ).then(
        fn=maybe_reset_papers_section,
        inputs=[
            section_states["papers"],
            username,
            selected_year,
            single_section_components["papers"]["view_mode"],
        ],
        outputs=single_section_outputs["papers_reset"],
        show_progress="hidden",
    )

    visibility_mode.change(
        fn=rerender_from_state,
        inputs=[app_state, visibility_mode],
        outputs=repo_render_outputs,
        show_progress="hidden",
    )

    fetch_community_button.click(
        fn=prepare_community_fetch_ui,
        inputs=[username, selected_year],
        outputs=community_context_box,
        show_progress="hidden",
    ).then(
        fn=fetch_and_render_community,
        inputs=[community_state, username, selected_year, pr_view_mode, discussion_view_mode],
        outputs=community_fetch_outputs,
        show_progress="full",
        show_progress_on=[
            pr_chart,
            discussion_chart,
            community_logs_box,
        ],
    )

    pr_view_mode.change(
        fn=rerender_pr_from_state,
        inputs=[community_state, pr_view_mode],
        outputs=pr_chart,
        show_progress="hidden",
    )

    discussion_view_mode.change(
        fn=rerender_discussions_from_state,
        inputs=[community_state, discussion_view_mode],
        outputs=discussion_chart,
        show_progress="hidden",
    )

    wire_single_chart_section(
        fetch_button=single_section_components["upvotes"]["fetch_button"],
        context_box=single_section_components["upvotes"]["context_box"],
        state_component=section_states["upvotes"],
        mode_component=single_section_components["upvotes"]["view_mode"],
        chart_component=single_section_components["upvotes"]["chart"],
        logs_component=single_section_components["upvotes"]["logs_box"],
        username_component=username,
        year_component=selected_year,
        prepare_fn=prepare_upvotes_fetch_ui,
        fetch_fn=fetch_and_render_upvotes_section,
        rerender_fn=rerender_upvotes_from_state,
    )

    wire_single_chart_section(
        fetch_button=single_section_components["likes"]["fetch_button"],
        context_box=single_section_components["likes"]["context_box"],
        state_component=section_states["likes"],
        mode_component=single_section_components["likes"]["view_mode"],
        chart_component=single_section_components["likes"]["chart"],
        logs_component=single_section_components["likes"]["logs_box"],
        username_component=username,
        year_component=selected_year,
        prepare_fn=prepare_likes_fetch_ui,
        fetch_fn=fetch_and_render_likes_section,
        rerender_fn=rerender_likes_from_state,
    )

    wire_single_chart_section(
        fetch_button=single_section_components["papers"]["fetch_button"],
        context_box=single_section_components["papers"]["context_box"],
        state_component=section_states["papers"],
        mode_component=single_section_components["papers"]["view_mode"],
        chart_component=single_section_components["papers"]["chart"],
        logs_component=single_section_components["papers"]["logs_box"],
        username_component=username,
        year_component=selected_year,
        prepare_fn=prepare_papers_fetch_ui,
        fetch_fn=fetch_and_render_papers_section,
        rerender_fn=rerender_papers_from_state,
    )

demo.queue().launch(ssr_mode=False, mcp_server=False, css_paths=["styles.css"])