"""The live view of a run: message log, agent status, report panels and timings."""

import datetime
import time
from collections import deque
from time import monotonic

from rich import box
from rich.console import Console
from rich.layout import Layout
from rich.markdown import Markdown
from rich.panel import Panel
from rich.rule import Rule
from rich.spinner import Spinner
from rich.table import Table
from rich.text import Text

from tradingagents.graph.analyst_execution import (
    ANALYST_NODE_SPECS,
    AnalystExecutionPlan,
)

console = Console()


class MessageBuffer:
    # Fixed teams that always run (not user-selectable)
    FIXED_AGENTS = {
        "Research Team": ["Bull Researcher", "Bear Researcher", "Research Manager"],
        "Trading Team": ["Trader"],
        "Risk Management": ["Aggressive Analyst", "Neutral Analyst", "Conservative Analyst"],
        "Portfolio Management": ["Portfolio Manager"],
    }

    # Analyst name mapping
    ANALYST_MAPPING = {
        "market": "Market Analyst",
        "social": "Sentiment Analyst",
        "news": "News Analyst",
        "fundamentals": "Fundamentals Analyst",
    }

    # Report section mapping: section -> (analyst_key for filtering, finalizing_agent)
    # analyst_key: which analyst selection controls this section (None = always included)
    # finalizing_agent: which agent must be "completed" for this report to count as done
    REPORT_SECTIONS = {
        "market_report": ("market", "Market Analyst"),
        "sentiment_report": ("social", "Sentiment Analyst"),
        "news_report": ("news", "News Analyst"),
        "fundamentals_report": ("fundamentals", "Fundamentals Analyst"),
        "investment_plan": (None, "Research Manager"),
        "trader_investment_plan": (None, "Trader"),
        "final_trade_decision": (None, "Portfolio Manager"),
    }

    def __init__(self, max_length=100):
        self.messages = deque(maxlen=max_length)
        self.tool_calls = deque(maxlen=max_length)
        self.current_report = None
        self.agent_status = {}
        self.report_sections = {}
        self.selected_analysts = []
        self._processed_message_ids = set()

    def init_for_analysis(self, selected_analysts):
        """Initialize agent status and report sections based on selected analysts.

        Args:
            selected_analysts: List of analyst type strings (e.g., ["market", "news"])
        """
        self.selected_analysts = [a.lower() for a in selected_analysts]

        self.agent_status = {}

        for analyst_key in self.selected_analysts:
            if analyst_key in self.ANALYST_MAPPING:
                self.agent_status[self.ANALYST_MAPPING[analyst_key]] = "pending"

        for team_agents in self.FIXED_AGENTS.values():
            for agent in team_agents:
                self.agent_status[agent] = "pending"

        self.report_sections = {}
        for section, (analyst_key, _) in self.REPORT_SECTIONS.items():
            if analyst_key is None or analyst_key in self.selected_analysts:
                self.report_sections[section] = None

        # Reset other state
        self.current_report = None
        self.messages.clear()
        self.tool_calls.clear()
        self._processed_message_ids.clear()

    def get_completed_reports_count(self):
        """Count reports that are finalized (their finalizing agent is completed).

        A report is considered complete when:
        1. The report section has content (not None), AND
        2. The agent responsible for finalizing that report has status "completed"

        This prevents interim updates (like debate rounds) from counting as completed.
        """
        count = 0
        for section in self.report_sections:
            if section not in self.REPORT_SECTIONS:
                continue
            _, finalizing_agent = self.REPORT_SECTIONS[section]
            # Report is complete if it has content AND its finalizing agent is done
            has_content = self.report_sections.get(section) is not None
            agent_done = self.agent_status.get(finalizing_agent) == "completed"
            if has_content and agent_done:
                count += 1
        return count

    def add_message(self, message_type, content):
        timestamp = datetime.datetime.now().strftime("%H:%M:%S")
        self.messages.append((timestamp, message_type, content))

    def add_tool_call(self, tool_name, args):
        timestamp = datetime.datetime.now().strftime("%H:%M:%S")
        self.tool_calls.append((timestamp, tool_name, args))

    def update_agent_status(self, agent, status):
        if agent in self.agent_status:
            self.agent_status[agent] = status

    def update_report_section(self, section_name, content):
        if section_name in self.report_sections:
            self.report_sections[section_name] = content
            self._update_current_report()

    def _update_current_report(self):
        # For the panel display, only show the most recently updated section
        latest_section = None
        latest_content = None

        for section, content in self.report_sections.items():
            if content is not None:
                latest_section = section
                latest_content = content

        if latest_section and latest_content:
            section_titles = {
                "market_report": "Market Analysis",
                "sentiment_report": "Social Sentiment",
                "news_report": "News Analysis",
                "fundamentals_report": "Fundamentals Analysis",
                "investment_plan": "Research Team Decision",
                "trader_investment_plan": "Trading Team Plan",
                "final_trade_decision": "Portfolio Management Decision",
            }
            self.current_report = (
                f"### {section_titles[latest_section]}\n{latest_content}"
            )


message_buffer = MessageBuffer()


def create_layout():
    layout = Layout()
    layout.split_column(
        Layout(name="header", size=3),
        Layout(name="main"),
        Layout(name="footer", size=3),
    )
    layout["main"].split_column(
        Layout(name="upper", ratio=3), Layout(name="analysis", ratio=5)
    )
    layout["upper"].split_row(
        Layout(name="progress", ratio=2), Layout(name="messages", ratio=3)
    )
    return layout


def format_tokens(n):
    """Format token count for display."""
    if n >= 1000:
        return f"{n/1000:.1f}k"
    return str(n)


def update_display(layout, spinner_text=None, stats_handler=None, start_time=None):
    # Header with welcome message
    layout["header"].update(
        Panel(
            "[bold green]Welcome to TradingAgents CLI[/bold green]\n"
            "[dim]© [Tauric Research](https://github.com/TauricResearch)[/dim]",
            title="Welcome to TradingAgents",
            border_style="green",
            padding=(1, 2),
            expand=True,
        )
    )

    # Progress panel showing agent status
    progress_table = Table(
        show_header=True,
        header_style="bold magenta",
        show_footer=False,
        box=box.SIMPLE_HEAD,  # Use simple header with horizontal lines
        title=None,  # Remove the redundant Progress title
        padding=(0, 2),  # Add horizontal padding
        expand=True,  # Make table expand to fill available space
    )
    progress_table.add_column("Team", style="cyan", justify="center", width=20)
    progress_table.add_column("Agent", style="green", justify="center", width=20)
    progress_table.add_column("Status", style="yellow", justify="center", width=20)

    # Group agents by team - filter to only include agents in agent_status
    all_teams = {
        "Analyst Team": [
            "Market Analyst",
            "Sentiment Analyst",
            "News Analyst",
            "Fundamentals Analyst",
        ],
        "Research Team": ["Bull Researcher", "Bear Researcher", "Research Manager"],
        "Trading Team": ["Trader"],
        "Risk Management": ["Aggressive Analyst", "Neutral Analyst", "Conservative Analyst"],
        "Portfolio Management": ["Portfolio Manager"],
    }

    teams = {}
    for team, agents in all_teams.items():
        active_agents = [a for a in agents if a in message_buffer.agent_status]
        if active_agents:
            teams[team] = active_agents

    for team, agents in teams.items():
        first_agent = agents[0]
        status = message_buffer.agent_status.get(first_agent, "pending")
        if status == "in_progress":
            spinner = Spinner(
                "dots", text="[blue]in_progress[/blue]", style="bold cyan"
            )
            status_cell = spinner
        else:
            status_color = {
                "pending": "yellow",
                "completed": "green",
                "error": "red",
            }.get(status, "white")
            status_cell = f"[{status_color}]{status}[/{status_color}]"
        progress_table.add_row(team, first_agent, status_cell)

        for agent in agents[1:]:
            status = message_buffer.agent_status.get(agent, "pending")
            if status == "in_progress":
                spinner = Spinner(
                    "dots", text="[blue]in_progress[/blue]", style="bold cyan"
                )
                status_cell = spinner
            else:
                status_color = {
                    "pending": "yellow",
                    "completed": "green",
                    "error": "red",
                }.get(status, "white")
                status_cell = f"[{status_color}]{status}[/{status_color}]"
            progress_table.add_row("", agent, status_cell)

        progress_table.add_row("─" * 20, "─" * 20, "─" * 20, style="dim")

    layout["progress"].update(
        Panel(progress_table, title="Progress", border_style="cyan", padding=(1, 2))
    )

    # Messages panel showing recent messages and tool calls
    messages_table = Table(
        show_header=True,
        header_style="bold magenta",
        show_footer=False,
        expand=True,  # Make table expand to fill available space
        box=box.MINIMAL,  # Use minimal box style for a lighter look
        show_lines=True,  # Keep horizontal lines
        padding=(0, 1),  # Add some padding between columns
    )
    messages_table.add_column("Time", style="cyan", width=8, justify="center")
    messages_table.add_column("Type", style="green", width=10, justify="center")
    messages_table.add_column(
        "Content", style="white", no_wrap=False, ratio=1
    )  # Make content column expand

    # Combine tool calls and messages
    all_messages = []

    for timestamp, tool_name, args in message_buffer.tool_calls:
        formatted_args = format_tool_args(args)
        all_messages.append((timestamp, "Tool", f"{tool_name}: {formatted_args}"))

    for timestamp, msg_type, content in message_buffer.messages:
        content_str = str(content) if content else ""
        if len(content_str) > 200:
            content_str = content_str[:197] + "..."
        all_messages.append((timestamp, msg_type, content_str))

    # Sort by timestamp descending (newest first)
    all_messages.sort(key=lambda x: x[0], reverse=True)

    max_messages = 12

    recent_messages = all_messages[:max_messages]

    for timestamp, msg_type, content in recent_messages:
        wrapped_content = Text(content, overflow="fold")
        messages_table.add_row(timestamp, msg_type, wrapped_content)

    layout["messages"].update(
        Panel(
            messages_table,
            title="Messages & Tools",
            border_style="blue",
            padding=(1, 2),
        )
    )

    # Analysis panel showing current report
    if message_buffer.current_report:
        layout["analysis"].update(
            Panel(
                Markdown(message_buffer.current_report),
                title="Current Report",
                border_style="green",
                padding=(1, 2),
            )
        )
    else:
        layout["analysis"].update(
            Panel(
                "[italic]Waiting for analysis report...[/italic]",
                title="Current Report",
                border_style="green",
                padding=(1, 2),
            )
        )

    # Footer with statistics
    # Agent progress - derived from agent_status dict
    agents_completed = sum(
        1 for status in message_buffer.agent_status.values() if status == "completed"
    )
    agents_total = len(message_buffer.agent_status)

    # Report progress - based on agent completion (not just content existence)
    reports_completed = message_buffer.get_completed_reports_count()
    reports_total = len(message_buffer.report_sections)

    stats_parts = [f"Agents: {agents_completed}/{agents_total}"]

    # LLM and tool stats from callback handler
    if stats_handler:
        stats = stats_handler.get_stats()
        stats_parts.append(f"LLM: {stats['llm_calls']}")
        stats_parts.append(f"Tools: {stats['tool_calls']}")

        # Token display with graceful fallback
        if stats["tokens_in"] > 0 or stats["tokens_out"] > 0:
            tokens_str = f"Tokens: {format_tokens(stats['tokens_in'])}\u2191 {format_tokens(stats['tokens_out'])}\u2193"
        else:
            tokens_str = "Tokens: --"
        stats_parts.append(tokens_str)

    stats_parts.append(f"Reports: {reports_completed}/{reports_total}")

    # Elapsed time
    if start_time:
        elapsed = time.time() - start_time
        elapsed_str = f"\u23f1 {int(elapsed // 60):02d}:{int(elapsed % 60):02d}"
        stats_parts.append(elapsed_str)

    stats_table = Table(show_header=False, box=None, padding=(0, 2), expand=True)
    stats_table.add_column("Stats", justify="center")
    stats_table.add_row(" | ".join(stats_parts))

    layout["footer"].update(Panel(stats_table, border_style="grey50"))


def display_complete_report(final_state):
    """Display the complete analysis report sequentially (avoids truncation)."""
    console.print()
    console.print(Rule("Complete Analysis Report", style="bold green"))

    # I. Analyst Team Reports
    analysts = []
    if final_state.get("market_report"):
        analysts.append(("Market Analyst", final_state["market_report"]))
    if final_state.get("sentiment_report"):
        analysts.append(("Sentiment Analyst", final_state["sentiment_report"]))
    if final_state.get("news_report"):
        analysts.append(("News Analyst", final_state["news_report"]))
    if final_state.get("fundamentals_report"):
        analysts.append(("Fundamentals Analyst", final_state["fundamentals_report"]))
    if analysts:
        console.print(Panel("[bold]I. Analyst Team Reports[/bold]", border_style="cyan"))
        for title, content in analysts:
            console.print(Panel(Markdown(content), title=title, border_style="blue", padding=(1, 2)))

    # II. Research Team Reports
    if final_state.get("investment_debate_state"):
        debate = final_state["investment_debate_state"]
        research = []
        if debate.get("bull_history"):
            research.append(("Bull Researcher", debate["bull_history"]))
        if debate.get("bear_history"):
            research.append(("Bear Researcher", debate["bear_history"]))
        if final_state.get("investment_plan"):
            research.append(("Research Manager", final_state["investment_plan"]))
        if research:
            console.print(Panel("[bold]II. Research Team Decision[/bold]", border_style="magenta"))
            for title, content in research:
                console.print(Panel(Markdown(content), title=title, border_style="blue", padding=(1, 2)))

    # III. Trading Team
    if final_state.get("trader_investment_plan"):
        console.print(Panel("[bold]III. Trading Team Plan[/bold]", border_style="yellow"))
        console.print(Panel(Markdown(final_state["trader_investment_plan"]), title="Trader", border_style="blue", padding=(1, 2)))

    # IV. Risk Management Team
    if final_state.get("risk_debate_state"):
        risk = final_state["risk_debate_state"]
        risk_reports = []
        if risk.get("aggressive_history"):
            risk_reports.append(("Aggressive Analyst", risk["aggressive_history"]))
        if risk.get("conservative_history"):
            risk_reports.append(("Conservative Analyst", risk["conservative_history"]))
        if risk.get("neutral_history"):
            risk_reports.append(("Neutral Analyst", risk["neutral_history"]))
        if risk_reports:
            console.print(Panel("[bold]IV. Risk Management Team Decision[/bold]", border_style="red"))
            for title, content in risk_reports:
                console.print(Panel(Markdown(content), title=title, border_style="blue", padding=(1, 2)))

    # V. Portfolio Manager Decision
    if final_state.get("final_trade_decision"):
        console.print(Panel("[bold]V. Portfolio Manager Decision[/bold]", border_style="green"))
        console.print(Panel(Markdown(final_state["final_trade_decision"]), title="Portfolio Manager", border_style="blue", padding=(1, 2)))


def update_research_team_status(status):
    """Update status for research team members (not Trader)."""
    research_team = ["Bull Researcher", "Bear Researcher", "Research Manager"]
    for agent in research_team:
        message_buffer.update_agent_status(agent, status)


# Ordered list of analysts for status transitions
ANALYST_ORDER = ["market", "social", "news", "fundamentals"]

ANALYST_AGENT_NAMES = {
    "market": "Market Analyst",
    "social": "Sentiment Analyst",
    "news": "News Analyst",
    "fundamentals": "Fundamentals Analyst",
}

ANALYST_REPORT_MAP = {
    "market": "market_report",
    "social": "sentiment_report",
    "news": "news_report",
    "fundamentals": "fundamentals_report",
}


def update_analyst_statuses(message_buffer, chunk, wall_time_tracker=None):
    """Update analyst statuses based on accumulated report state.

    Logic:
    - Store new report content from the current chunk if present
    - Check accumulated report_sections (not just current chunk) for status
    - Analysts with reports = completed
    - First analyst without report = in_progress
    - Remaining analysts without reports = pending
    - When all analysts done, set Bull Researcher to in_progress
    """
    selected = message_buffer.selected_analysts
    found_active = False

    if wall_time_tracker is not None:
        sync_analyst_tracker_from_chunk(wall_time_tracker, chunk)

    for analyst_key in ANALYST_ORDER:
        if analyst_key not in selected:
            continue

        agent_name = ANALYST_AGENT_NAMES[analyst_key]
        report_key = ANALYST_REPORT_MAP[analyst_key]

        # Capture new report content from current chunk
        if chunk.get(report_key):
            message_buffer.update_report_section(report_key, chunk[report_key])

        # Determine status from accumulated sections, not just current chunk
        has_report = bool(message_buffer.report_sections.get(report_key))

        if has_report:
            message_buffer.update_agent_status(agent_name, "completed")
        elif not found_active:
            message_buffer.update_agent_status(agent_name, "in_progress")
            found_active = True
        else:
            message_buffer.update_agent_status(agent_name, "pending")

    # When all analysts complete, transition research team to in_progress
    if (
        not found_active
        and selected
        and message_buffer.agent_status.get("Bull Researcher") == "pending"
    ):
        message_buffer.update_agent_status("Bull Researcher", "in_progress")


def extract_content_string(content):
    """Extract string content from various message formats.
    Returns None if no meaningful text content is found.
    """
    def is_empty(val):
        """Whether a value carries nothing to show.

        Text is judged by whether anything was written, not by what it would
        mean as Python: a report saying "0" or "None" is a message the run
        produced, and reading it as a falsy literal dropped it from the display.
        """
        if isinstance(val, str):
            return not val.strip()
        return val is None or not bool(val)

    if is_empty(content):
        return None

    if isinstance(content, str):
        return content.strip()

    if isinstance(content, dict):
        text = content.get('text', '')
        return text.strip() if not is_empty(text) else None

    if isinstance(content, list):
        text_parts = [
            item.get('text', '').strip() if isinstance(item, dict) and item.get('type') == 'text'
            else (item.strip() if isinstance(item, str) else '')
            for item in content
        ]
        result = ' '.join(t for t in text_parts if t and not is_empty(t))
        return result if result else None

    return str(content).strip() if not is_empty(content) else None


def classify_message_type(message) -> tuple[str, str | None]:
    """Classify LangChain message into display type and extract content.

    Returns:
        (type, content) - type is one of: User, Agent, Data, Control
                        - content is extracted string or None
    """
    from langchain_core.messages import AIMessage, HumanMessage, ToolMessage

    content = extract_content_string(getattr(message, 'content', None))

    if isinstance(message, HumanMessage):
        if content and content.strip() == "Continue":
            return ("Control", content)
        return ("User", content)

    if isinstance(message, ToolMessage):
        return ("Data", content)

    if isinstance(message, AIMessage):
        return ("Agent", content)

    # Fallback for unknown types
    return ("System", content)


def format_tool_args(args, max_length=80) -> str:
    """Format tool arguments for terminal display."""
    result = str(args)
    if len(result) > max_length:
        return result[:max_length - 3] + "..."
    return result


class AnalystWallTimeTracker:
    def __init__(self, plan: AnalystExecutionPlan):
        self.plan = plan
        self._started_at: dict[str, float] = {}
        self._wall_times: dict[str, float] = {}

    def mark_started(self, analyst_key: str, started_at: float | None = None) -> None:
        if analyst_key not in ANALYST_NODE_SPECS:
            raise ValueError(f"unknown analyst key: {analyst_key}")
        self._started_at.setdefault(analyst_key, monotonic() if started_at is None else started_at)

    def mark_completed(
        self,
        analyst_key: str,
        completed_at: float | None = None,
    ) -> None:
        if analyst_key not in ANALYST_NODE_SPECS:
            raise ValueError(f"unknown analyst key: {analyst_key}")
        if analyst_key in self._wall_times:
            return
        started_at = self._started_at.get(analyst_key)
        if started_at is None:
            return
        finished_at = monotonic() if completed_at is None else completed_at
        self._wall_times[analyst_key] = max(0.0, finished_at - started_at)

    def format_summary(self) -> str:
        parts = []
        for spec in self.plan.specs:
            duration = self._wall_times.get(spec.key)
            if duration is not None:
                label = spec.agent_node.removesuffix(" Analyst")
                parts.append(f"{label} {duration:.2f}s")
        if not parts:
            return "Analyst wall time: pending"
        return "Analyst wall time: " + " | ".join(parts)


def sync_analyst_tracker_from_chunk(
    tracker: AnalystWallTimeTracker,
    chunk: dict[str, str],
    now: float | None = None,
) -> None:
    current_time = monotonic() if now is None else now
    active_found = False

    for spec in tracker.plan.specs:
        has_report = bool(chunk.get(spec.report_key))

        if has_report:
            tracker.mark_started(spec.key, started_at=current_time)
            tracker.mark_completed(spec.key, completed_at=current_time)
            continue

        if not active_found:
            tracker.mark_started(spec.key, started_at=current_time)
            active_found = True