72 lines
3.3 KiB
Python
72 lines
3.3 KiB
Python
from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
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import time
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import json
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from tradingagents.agents.utils.seeking_alpha_tools import get_seeking_alpha_pdfs
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from tradingagents.dataflows.config import get_config
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def create_seeking_alpha_analyst(llm):
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def seeking_alpha_analyst_node(state):
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current_date = state["trade_date"]
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ticker = state["company_of_interest"]
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company_name = state["company_of_interest"]
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tools = [
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get_seeking_alpha_pdfs,
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]
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system_message = (
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"You are a research analyst specializing in analyzing Seeking Alpha reports and research documents. "
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"Your role is to extract and analyze key insights from PDF research documents about companies. "
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"These documents typically contain detailed analysis, financial projections, investment theses, and expert opinions. "
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"Please read through the PDF documents carefully and write a comprehensive report that includes:\n"
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"- Key investment theses and arguments presented\n"
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"- Financial analysis and projections mentioned\n"
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"- Risk factors and concerns highlighted\n"
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"- Expert opinions and recommendations\n"
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"- Any quantitative metrics or data points\n"
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"- Overall sentiment and outlook\n\n"
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"Make sure to provide detailed and nuanced analysis. Do not simply state that the information is mixed - "
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"provide specific insights, numbers, and detailed analysis that may help traders make decisions. "
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"Make sure to append a Markdown table at the end of the report to organize key points in the report, organized and easy to read."
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)
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prompt = ChatPromptTemplate.from_messages(
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[
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(
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"system",
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"You are a helpful AI assistant, collaborating with other assistants."
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" Use the provided tools to progress towards answering the question."
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" If you are unable to fully answer, that's OK; another assistant with different tools"
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" will help where you left off. Execute what you can to make progress."
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" If you or any other assistant has the FINAL TRANSACTION PROPOSAL: **BUY/HOLD/SELL** or deliverable,"
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" prefix your response with FINAL TRANSACTION PROPOSAL: **BUY/HOLD/SELL** so the team knows to stop."
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" You have access to the following tools: {tool_names}.\n{system_message}"
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"For your reference, the current date is {current_date}. The company we want to look at is {ticker}",
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),
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MessagesPlaceholder(variable_name="messages"),
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]
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)
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prompt = prompt.partial(system_message=system_message)
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prompt = prompt.partial(tool_names=", ".join([tool.name for tool in tools]))
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prompt = prompt.partial(current_date=current_date)
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prompt = prompt.partial(ticker=ticker)
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chain = prompt | llm.bind_tools(tools)
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result = chain.invoke(state["messages"])
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report = ""
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if len(result.tool_calls) == 0:
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report = result.content
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return {
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"messages": [result],
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"seeking_alpha_report": report,
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}
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return seeking_alpha_analyst_node
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