Merge commit '3165da542a92b9f624e8ce4ca7417069d264cf29' into dev-leo
This commit is contained in:
Tomortec
commit
941abbe69f
143
cli/main.py
143
cli/main.py
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@ -25,12 +25,14 @@ from tradingagents.graph.trading_graph import TradingAgentsGraph
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from tradingagents.default_config import DEFAULT_CONFIG
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from cli.models import AnalystType
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from cli.utils import *
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from tradingagents.i18n import get_lang
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console = Console()
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lang = get_lang()
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app = typer.Typer(
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name="TradingAgents",
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help="TradingAgents CLI: Multi-Agents LLM Financial Trading Framework",
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help=lang["welcome"] + ": " + lang["framework_subtitle"],
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add_completion=True, # Enable shell completion
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)
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@ -44,22 +46,22 @@ class MessageBuffer:
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self.final_report = None # Store the complete final report
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self.agent_status = {
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# Analyst Team
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"Market Analyst": "pending",
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"Social Analyst": "pending",
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"News Analyst": "pending",
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"Fundamentals Analyst": "pending",
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lang["market_analyst"]: lang["pending"],
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lang["social_analyst"]: lang["pending"],
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lang["news_analyst"]: lang["pending"],
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lang["fundamentals_analyst"]: lang["pending"],
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# Research Team
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"Bull Researcher": "pending",
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"Bear Researcher": "pending",
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"Research Manager": "pending",
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lang["bull_researcher"]: lang["pending"],
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lang["bear_researcher"]: lang["pending"],
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lang["research_manager"]: lang["pending"],
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# Trading Team
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"Trader": "pending",
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lang["trader"]: lang["pending"],
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# Risk Management Team
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"Risky Analyst": "pending",
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"Neutral Analyst": "pending",
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"Safe Analyst": "pending",
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lang["risky_analyst"]: lang["pending"],
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lang["neutral_analyst"]: lang["pending"],
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lang["safe_analyst"]: lang["pending"],
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# Portfolio Management Team
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"Portfolio Manager": "pending",
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lang["portfolio_manager"]: lang["pending"],
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}
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self.current_agent = None
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self.report_sections = {
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@ -104,13 +106,13 @@ class MessageBuffer:
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if latest_section and latest_content:
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# Format the current section for display
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section_titles = {
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"market_report": "Market Analysis",
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"sentiment_report": "Social Sentiment",
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"news_report": "News Analysis",
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"fundamentals_report": "Fundamentals Analysis",
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"investment_plan": "Research Team Decision",
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"trader_investment_plan": "Trading Team Plan",
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"final_trade_decision": "Portfolio Management Decision",
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"market_report": lang["market_report"],
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"sentiment_report": lang["sentiment_report"],
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"news_report": lang["news_report"],
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"fundamentals_report": lang["fundamentals_report"],
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"investment_plan": lang["investment_plan"],
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"trader_investment_plan": lang["trader_investment_plan"],
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"final_trade_decision": lang["final_trade_decision"],
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}
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self.current_report = (
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f"### {section_titles[latest_section]}\n{latest_content}"
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@ -132,37 +134,37 @@ class MessageBuffer:
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"fundamentals_report",
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]
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):
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report_parts.append("## Analyst Team Reports")
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report_parts.append(f"## {lang['analyst_team']}")
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if self.report_sections["market_report"]:
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report_parts.append(
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f"### Market Analysis\n{self.report_sections['market_report']}"
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f"### {lang['market_report']}\n{self.report_sections['market_report']}"
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)
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if self.report_sections["sentiment_report"]:
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report_parts.append(
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f"### Social Sentiment\n{self.report_sections['sentiment_report']}"
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f"### {lang['sentiment_report']}\n{self.report_sections['sentiment_report']}"
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)
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if self.report_sections["news_report"]:
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report_parts.append(
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f"### News Analysis\n{self.report_sections['news_report']}"
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f"### {lang['news_report']}\n{self.report_sections['news_report']}"
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)
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if self.report_sections["fundamentals_report"]:
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report_parts.append(
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f"### Fundamentals Analysis\n{self.report_sections['fundamentals_report']}"
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f"### {lang['fundamentals_report']}\n{self.report_sections['fundamentals_report']}"
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)
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# Research Team Reports
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if self.report_sections["investment_plan"]:
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report_parts.append("## Research Team Decision")
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report_parts.append(f"## {lang['research_team']}")
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report_parts.append(f"{self.report_sections['investment_plan']}")
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# Trading Team Reports
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if self.report_sections["trader_investment_plan"]:
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report_parts.append("## Trading Team Plan")
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report_parts.append(f"## {lang['trading_team']}")
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report_parts.append(f"{self.report_sections['trader_investment_plan']}")
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# Portfolio Management Decision
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if self.report_sections["final_trade_decision"]:
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report_parts.append("## Portfolio Management Decision")
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report_parts.append(f"## {lang['portfolio_management']}")
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report_parts.append(f"{self.report_sections['final_trade_decision']}")
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self.final_report = "\n\n".join(report_parts) if report_parts else None
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@ -191,9 +193,9 @@ def update_display(layout, spinner_text=None):
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# Header with welcome message
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layout["header"].update(
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Panel(
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"[bold green]Welcome to TradingAgents CLI[/bold green]\n"
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f"[bold green]{lang['welcome']}[/bold green]\n"
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"[dim]© [Tauric Research](https://github.com/TauricResearch)[/dim]",
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title="Welcome to TradingAgents",
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title=lang["welcome"],
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border_style="green",
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padding=(1, 2),
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expand=True,
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@ -210,22 +212,22 @@ def update_display(layout, spinner_text=None):
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padding=(0, 2), # Add horizontal padding
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expand=True, # Make table expand to fill available space
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)
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progress_table.add_column("Team", style="cyan", justify="center", width=20)
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progress_table.add_column("Agent", style="green", justify="center", width=20)
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progress_table.add_column("Status", style="yellow", justify="center", width=20)
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progress_table.add_column(lang["team"], style="cyan", justify="center", width=20)
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progress_table.add_column(lang["agent"], style="green", justify="center", width=20)
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progress_table.add_column(lang["status"], style="yellow", justify="center", width=20)
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# Group agents by team
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teams = {
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"Analyst Team": [
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"Market Analyst",
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"Social Analyst",
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"News Analyst",
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"Fundamentals Analyst",
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lang["analyst_team"]: [
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lang["market_analyst"],
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lang["social_analyst"],
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lang["news_analyst"],
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lang["fundamentals_analyst"],
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],
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"Research Team": ["Bull Researcher", "Bear Researcher", "Research Manager"],
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"Trading Team": ["Trader"],
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"Risk Management": ["Risky Analyst", "Neutral Analyst", "Safe Analyst"],
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"Portfolio Management": ["Portfolio Manager"],
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lang["research_team"]: [lang["bull_researcher"], lang["bear_researcher"], lang["research_manager"]],
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lang["trading_team"]: [lang["trader"]],
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lang["risk_management"]: [lang["risky_analyst"], lang["neutral_analyst"], lang["safe_analyst"]],
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lang["portfolio_management"]: [lang["portfolio_manager"]],
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}
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for team, agents in teams.items():
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@ -234,14 +236,14 @@ def update_display(layout, spinner_text=None):
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status = message_buffer.agent_status[first_agent]
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if status == "in_progress":
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spinner = Spinner(
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"dots", text="[blue]in_progress[/blue]", style="bold cyan"
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"dots", text=f"[blue]{lang['in_progress']}[/blue]", style="bold cyan"
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)
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status_cell = spinner
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else:
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status_color = {
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"pending": "yellow",
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"completed": "green",
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"error": "red",
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lang["pending"]: "yellow",
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lang["completed"]: "green",
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lang["error"]: "red",
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}.get(status, "white")
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status_cell = f"[{status_color}]{status}[/{status_color}]"
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progress_table.add_row(team, first_agent, status_cell)
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@ -251,14 +253,14 @@ def update_display(layout, spinner_text=None):
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status = message_buffer.agent_status[agent]
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if status == "in_progress":
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spinner = Spinner(
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"dots", text="[blue]in_progress[/blue]", style="bold cyan"
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"dots", text=f"[blue]{lang['in_progress']}[/blue]", style="bold cyan"
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)
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status_cell = spinner
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else:
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status_color = {
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"pending": "yellow",
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"completed": "green",
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"error": "red",
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lang["pending"]: "yellow",
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lang["completed"]: "green",
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lang["error"]: "red",
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}.get(status, "white")
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status_cell = f"[{status_color}]{status}[/{status_color}]"
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progress_table.add_row("", agent, status_cell)
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@ -267,7 +269,7 @@ def update_display(layout, spinner_text=None):
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progress_table.add_row("─" * 20, "─" * 20, "─" * 20, style="dim")
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layout["progress"].update(
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Panel(progress_table, title="Progress", border_style="cyan", padding=(1, 2))
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Panel(progress_table, title=lang["progress"], border_style="cyan", padding=(1, 2))
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)
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# Messages panel showing recent messages and tool calls
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@ -282,9 +284,7 @@ def update_display(layout, spinner_text=None):
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)
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messages_table.add_column("Time", style="cyan", width=8, justify="center")
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messages_table.add_column("Type", style="green", width=10, justify="center")
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messages_table.add_column(
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"Content", style="white", no_wrap=False, ratio=1
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) # Make content column expand
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messages_table.add_column(lang["content"] if "content" in lang else "Content", style="white", no_wrap=False, ratio=1)
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# Combine tool calls and messages
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all_messages = []
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@ -346,12 +346,7 @@ def update_display(layout, spinner_text=None):
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)
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layout["messages"].update(
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Panel(
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messages_table,
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title="Messages & Tools",
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border_style="blue",
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padding=(1, 2),
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)
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Panel(messages_table, title=lang["messages_tools"], border_style="blue")
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)
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# Analysis panel showing current report
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@ -359,7 +354,7 @@ def update_display(layout, spinner_text=None):
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layout["analysis"].update(
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Panel(
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Markdown(message_buffer.current_report),
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title="Current Report",
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title=lang["current_report"],
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border_style="green",
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padding=(1, 2),
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)
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@ -368,7 +363,7 @@ def update_display(layout, spinner_text=None):
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layout["analysis"].update(
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Panel(
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"[italic]Waiting for analysis report...[/italic]",
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title="Current Report",
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title=lang["current_report"],
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border_style="green",
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padding=(1, 2),
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)
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@ -400,9 +395,9 @@ def get_user_selections():
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# Create welcome box content
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welcome_content = f"{welcome_ascii}\n"
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welcome_content += "[bold green]TradingAgents: Multi-Agents LLM Financial Trading Framework - CLI[/bold green]\n\n"
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welcome_content += "[bold]Workflow Steps:[/bold]\n"
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welcome_content += "I. Analyst Team → II. Research Team → III. Trader → IV. Risk Management → V. Portfolio Management\n\n"
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welcome_content += f"[bold green]TradingAgents: {lang['framework_subtitle']} - CLI[/bold green]\n\n"
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welcome_content += f"[bold]{lang['workflow_steps_title']}[/bold]\n"
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welcome_content += lang['workflow_steps']
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welcome_content += (
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"[dim]Built by [Tauric Research](https://github.com/TauricResearch)[/dim]"
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)
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@ -412,8 +407,8 @@ def get_user_selections():
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welcome_content,
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border_style="green",
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padding=(1, 2),
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title="Welcome to TradingAgents",
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subtitle="Multi-Agents LLM Financial Trading Framework",
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title= lang["welcome"],
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subtitle=lang["framework_subtitle"],
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)
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console.print(Align.center(welcome_box))
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console.print() # Add a blank line after the welcome box
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@ -429,7 +424,7 @@ def get_user_selections():
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# Step 1: Ticker symbol
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console.print(
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create_question_box(
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"Step 1: Ticker Symbol", "Enter the ticker symbol to analyze", "SPY"
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lang["step1_title"], lang["step1_prompt"], lang["default_ticker"]
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)
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)
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selected_ticker = get_ticker()
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@ -438,8 +433,8 @@ def get_user_selections():
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default_date = datetime.datetime.now().strftime("%Y-%m-%d")
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console.print(
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create_question_box(
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"Step 2: Analysis Date",
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"Enter the analysis date (YYYY-MM-DD)",
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lang["step2_title"],
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lang["step2_prompt"],
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default_date,
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)
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)
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@ -448,7 +443,7 @@ def get_user_selections():
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# Step 3: Select analysts
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console.print(
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create_question_box(
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"Step 3: Analysts Team", "Select your LLM analyst agents for the analysis"
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lang["step3_title"], lang["step3_prompt"]
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)
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)
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selected_analysts = select_analysts()
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@ -459,7 +454,7 @@ def get_user_selections():
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# Step 4: Research depth
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console.print(
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create_question_box(
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"Step 4: Research Depth", "Select your research depth level"
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lang["step4_title"], lang["step4_prompt"]
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)
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)
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selected_research_depth = select_research_depth()
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@ -467,7 +462,7 @@ def get_user_selections():
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# Step 5: OpenAI backend
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console.print(
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create_question_box(
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"Step 5: OpenAI backend", "Select which service to talk to"
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lang["step5_title"], lang["step5_prompt"]
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)
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)
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selected_llm_provider, backend_url = select_llm_provider()
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@ -475,7 +470,7 @@ def get_user_selections():
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# Step 6: Thinking agents
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console.print(
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create_question_box(
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"Step 6: Thinking Agents", "Select your thinking agents for analysis"
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lang["step6_title"], lang["step6_prompt"]
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)
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)
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selected_shallow_thinker = select_shallow_thinking_agent(selected_llm_provider)
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|
|
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30
cli/utils.py
30
cli/utils.py
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@ -2,6 +2,9 @@ import questionary
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from typing import List, Optional, Tuple, Dict
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from cli.models import AnalystType
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from tradingagents.i18n import get_lang
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lang = get_lang()
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ANALYST_ORDER = [
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("Market Analyst", AnalystType.MARKET),
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@ -14,8 +17,8 @@ ANALYST_ORDER = [
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def get_ticker() -> str:
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"""Prompt the user to enter a ticker symbol."""
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ticker = questionary.text(
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"Enter the ticker symbol to analyze:",
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validate=lambda x: len(x.strip()) > 0 or "Please enter a valid ticker symbol.",
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lang["step1_prompt"],
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validate=lambda x: len(x.strip()) > 0 or lang["ticker_validate"],
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style=questionary.Style(
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[
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("text", "fg:green"),
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|
|
@ -46,9 +49,8 @@ def get_analysis_date() -> str:
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return False
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date = questionary.text(
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"Enter the analysis date (YYYY-MM-DD):",
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validate=lambda x: validate_date(x.strip())
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or "Please enter a valid date in YYYY-MM-DD format.",
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lang["step2_prompt"],
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validate=lambda x: validate_date(x.strip()) or lang["date_validate"],
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style=questionary.Style(
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[
|
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("text", "fg:green"),
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|
|
@ -67,12 +69,12 @@ def get_analysis_date() -> str:
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def select_analysts() -> List[AnalystType]:
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"""Select analysts using an interactive checkbox."""
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choices = questionary.checkbox(
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"Select Your [Analysts Team]:",
|
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lang["step3_prompt"],
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choices=[
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questionary.Choice(display, value=value) for display, value in ANALYST_ORDER
|
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questionary.Choice(lang.get(display.replace(" ", "_").lower(), display), value=value) for display, value in ANALYST_ORDER
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],
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instruction="\n- Press Space to select/unselect analysts\n- Press 'a' to select/unselect all\n- Press Enter when done",
|
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validate=lambda x: len(x) > 0 or "You must select at least one analyst.",
|
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instruction=lang["analyst_instruction"],
|
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validate=lambda x: len(x) > 0 or lang["analyst_validate"],
|
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style=questionary.Style(
|
||||
[
|
||||
("checkbox-selected", "fg:green"),
|
||||
|
|
@ -95,17 +97,17 @@ def select_research_depth() -> int:
|
|||
|
||||
# Define research depth options with their corresponding values
|
||||
DEPTH_OPTIONS = [
|
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("Shallow - Quick research, few debate and strategy discussion rounds", 1),
|
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("Medium - Middle ground, moderate debate rounds and strategy discussion", 3),
|
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("Deep - Comprehensive research, in depth debate and strategy discussion", 5),
|
||||
(lang["depth_shallow"], 1),
|
||||
(lang["depth_medium"], 3),
|
||||
(lang["depth_deep"], 5),
|
||||
]
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||||
|
||||
choice = questionary.select(
|
||||
"Select Your [Research Depth]:",
|
||||
lang["step4_prompt"],
|
||||
choices=[
|
||||
questionary.Choice(display, value=value) for display, value in DEPTH_OPTIONS
|
||||
],
|
||||
instruction="\n- Use arrow keys to navigate\n- Press Enter to select",
|
||||
instruction=lang["depth_instruction"],
|
||||
style=questionary.Style(
|
||||
[
|
||||
("selected", "fg:yellow noinherit"),
|
||||
|
|
|
|||
|
|
@ -19,4 +19,6 @@ DEFAULT_CONFIG = {
|
|||
"max_recur_limit": 100,
|
||||
# Tool settings
|
||||
"online_tools": True,
|
||||
# Language settings
|
||||
"language": "zh", # 支持 'zh' 或 'en'
|
||||
}
|
||||
|
|
|
|||
|
|
@ -0,0 +1,12 @@
|
|||
import importlib
|
||||
from tradingagents.default_config import DEFAULT_CONFIG
|
||||
|
||||
def get_lang():
|
||||
lang_code = DEFAULT_CONFIG.get("language", "zh")
|
||||
try:
|
||||
lang_module = importlib.import_module(f"tradingagents.i18n.{lang_code}")
|
||||
return lang_module.LANG
|
||||
except Exception:
|
||||
# fallback to zh
|
||||
from .zh import LANG
|
||||
return LANG
|
||||
|
|
@ -0,0 +1,67 @@
|
|||
LANG = {
|
||||
"welcome": "Welcome to TradingAgents CLI",
|
||||
"analyst_team": "Analyst Team",
|
||||
"market_analyst": "Market Analyst",
|
||||
"social_analyst": "Social Analyst",
|
||||
"news_analyst": "News Analyst",
|
||||
"social_media_analyst": "Social Media Analyst",
|
||||
"fundamentals_analyst": "Fundamentals Analyst",
|
||||
"research_team": "Research Team",
|
||||
"bull_researcher": "Bull Researcher",
|
||||
"bear_researcher": "Bear Researcher",
|
||||
"research_manager": "Research Manager",
|
||||
"trading_team": "Trading Team",
|
||||
"trader": "Trader",
|
||||
"risk_management": "Risk Management",
|
||||
"risky_analyst": "Risky Analyst",
|
||||
"neutral_analyst": "Neutral Analyst",
|
||||
"safe_analyst": "Safe Analyst",
|
||||
"portfolio_management": "Portfolio Management",
|
||||
"portfolio_manager": "Portfolio Manager",
|
||||
"market_report": "Market Report",
|
||||
"sentiment_report": "Sentiment Report",
|
||||
"news_report": "News Report",
|
||||
"fundamentals_report": "Fundamentals Report",
|
||||
"investment_plan": "Investment Plan",
|
||||
"trader_investment_plan": "Trader Investment Plan",
|
||||
"final_trade_decision": "Final Trade Decision",
|
||||
"team": "Team",
|
||||
"agent": "Agent",
|
||||
"status": "Status",
|
||||
"progress": "Progress",
|
||||
"messages_tools": "Messages & Tools",
|
||||
"current_report": "Current Report",
|
||||
"pending": "Pending",
|
||||
"completed": "Completed",
|
||||
"error": "Error",
|
||||
"in_progress": "In Progress",
|
||||
"time": "Time",
|
||||
"type": "Type",
|
||||
"content": "Content",
|
||||
"tool": "Tool",
|
||||
"spinner": "Loading",
|
||||
"framework_subtitle": "Multi-Agents LLM Financial Trading Framework",
|
||||
"workflow_steps_title": "Workflow Steps:",
|
||||
"workflow_steps": "I. Analyst Team → II. Research Team → III. Trader → IV. Risk Management → V. Portfolio Management\n\n",
|
||||
"step1_title": "Step 1: Ticker Symbol",
|
||||
"step1_prompt": "Enter the ticker symbol to analyze",
|
||||
"step2_title": "Step 2: Analysis Date",
|
||||
"step2_prompt": "Enter the analysis date (YYYY-MM-DD)",
|
||||
"step3_title": "Step 3: Analysts Team",
|
||||
"step3_prompt": "Select your LLM analyst agents for the analysis",
|
||||
"step4_title": "Step 4: Research Depth",
|
||||
"step4_prompt": "Select your research depth level",
|
||||
"step5_title": "Step 5: Thinking Agents",
|
||||
"step5_prompt": "Select your thinking agents for analysis",
|
||||
"step6_title": "Step 6: Thinking Agents",
|
||||
"step6_prompt": "Select your thinking agents for analysis",
|
||||
"default_ticker": "SPY",
|
||||
"ticker_validate": "Please enter a valid ticker symbol.",
|
||||
"date_validate": "Please enter a valid date in YYYY-MM-DD format.",
|
||||
"analyst_instruction": "\n- Press Space to select/unselect analysts\n- Press 'a' to select/unselect all\n- Press Enter when done",
|
||||
"analyst_validate": "You must select at least one analyst.",
|
||||
"depth_shallow": "Shallow - Quick research, few debate and strategy discussion rounds",
|
||||
"depth_medium": "Medium - Middle ground, moderate debate rounds and strategy discussion",
|
||||
"depth_deep": "Deep - Comprehensive research, in depth debate and strategy discussion",
|
||||
"depth_instruction": "\n- Use arrow keys to navigate\n- Press Enter to select",
|
||||
}
|
||||
|
|
@ -0,0 +1,67 @@
|
|||
LANG = {
|
||||
"welcome": "欢迎使用TradingAgents CLI",
|
||||
"analyst_team": "分析师团队",
|
||||
"market_analyst": "市场分析师",
|
||||
"social_media_analyst": "社会媒体分析师",
|
||||
"social_analyst": "社交分析师",
|
||||
"news_analyst": "新闻分析师",
|
||||
"fundamentals_analyst": "基本面分析师",
|
||||
"research_team": "研究团队",
|
||||
"bull_researcher": "多头研究员",
|
||||
"bear_researcher": "空头研究员",
|
||||
"research_manager": "研究经理",
|
||||
"trading_team": "交易团队",
|
||||
"trader": "交易员",
|
||||
"risk_management": "风险管理",
|
||||
"risky_analyst": "激进分析师",
|
||||
"neutral_analyst": "中性分析师",
|
||||
"safe_analyst": "保守分析师",
|
||||
"portfolio_management": "投资组合管理",
|
||||
"portfolio_manager": "投资组合经理",
|
||||
"market_report": "市场分析报告",
|
||||
"sentiment_report": "情绪分析报告",
|
||||
"news_report": "新闻分析报告",
|
||||
"fundamentals_report": "基本面分析报告",
|
||||
"investment_plan": "投资计划",
|
||||
"trader_investment_plan": "交易员投资计划",
|
||||
"final_trade_decision": "最终交易决策",
|
||||
"team": "团队",
|
||||
"agent": "代理人",
|
||||
"status": "状态",
|
||||
"progress": "进度",
|
||||
"messages_tools": "消息与工具",
|
||||
"current_report": "当前报告",
|
||||
"pending": "待处理",
|
||||
"completed": "已完成",
|
||||
"error": "错误",
|
||||
"in_progress": "进行中",
|
||||
"time": "时间",
|
||||
"type": "类型",
|
||||
"content": "内容",
|
||||
"tool": "工具",
|
||||
"spinner": "加载中",
|
||||
"framework_subtitle": "多智能体大模型金融交易框架",
|
||||
"workflow_steps_title": "工作流步骤：",
|
||||
"workflow_steps": "I. 分析师团队 → II. 研究团队 → III. 交易员 → IV. 风险管理 → V. 投资组合管理\n\n",
|
||||
"step1_title": "步骤1：股票代码",
|
||||
"step1_prompt": "请输入要分析的股票代码",
|
||||
"step2_title": "步骤2：分析日期",
|
||||
"step2_prompt": "请输入分析日期（YYYY-MM-DD）",
|
||||
"step3_title": "步骤3：分析师团队",
|
||||
"step3_prompt": "请选择用于分析的LLM分析师代理",
|
||||
"step4_title": "步骤4：研究深度",
|
||||
"step4_prompt": "请选择研究深度等级",
|
||||
"step5_title": "步骤5：思考代理",
|
||||
"step5_prompt": "请选择用于分析的思考代理",
|
||||
"step6_title": "步骤6：思考代理",
|
||||
"step6_prompt": "请选择用于分析的思考代理",
|
||||
"default_ticker": "SPY",
|
||||
"ticker_validate": "请输入有效的股票代码。",
|
||||
"date_validate": "请输入有效的日期，格式为YYYY-MM-DD。",
|
||||
"analyst_instruction": "\n- 空格选择/取消分析师\n- 'a' 全选/取消全选\n- 回车确认",
|
||||
"analyst_validate": "请至少选择一位分析师。",
|
||||
"depth_shallow": "浅层 - 快速研究，少量辩论与策略讨论轮次",
|
||||
"depth_medium": "中等 - 适中研究，适量辩论与策略讨论",
|
||||
"depth_deep": "深度 - 全面研究，深入辩论与策略讨论",
|
||||
"depth_instruction": "\n- 使用方向键选择\n- 回车确认",
|
||||
}
|
||||
Loading…
Reference in New Issue