import os
import traceback
import pandas as pd
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import seaborn as sns
from agno.agent import Agent
from agno.models.openrouter import OpenRouter
from bindu.penguin.bindufy import bindufy
from dotenv import load_dotenv
load_dotenv()
# -----------------------------
# Custom Data Analyst Tools
# -----------------------------
def analyze_dataset(file_path: str) -> str:
if not os.path.exists(file_path):
return f"Error: File not found at {file_path}. Please provide a valid absolute path."
try:
df = pd.read_csv(file_path)
info = [
f"Dataset Shape: {df.shape[0]} rows, {df.shape[1]} columns\n",
"Columns and Data Types:\n" + str(df.dtypes) + "\n",
"Missing Values:\n" + str(df.isnull().sum()) + "\n",
"Summary Statistics:\n" + df.describe(include='all').to_string()
]
return "\n".join(info)
except Exception as e:
return f"Error analyzing dataset: {str(e)}"
def generate_visualization(file_path: str, x_column: str, y_column: str, chart_type: str = "bar") -> str:
if not os.path.exists(file_path):
return f"Error: File not found at {file_path}."
try:
df = pd.read_csv(file_path)
if x_column not in df.columns or (y_column and y_column not in df.columns):
return f"Error: Columns '{x_column}' or '{y_column}' not found."
plt.figure(figsize=(10, 6))
sns.set_theme(style="whitegrid")
if chart_type == "bar":
sns.barplot(data=df, x=x_column, y=y_column)
elif chart_type == "line":
sns.lineplot(data=df, x=x_column, y=y_column)
else:
sns.scatterplot(data=df, x=x_column, y=y_column)
plt.title(f"{chart_type.capitalize()} Chart: {y_column} vs {x_column}")
plt.xticks(rotation=45)
plt.tight_layout()
os.makedirs("outputs", exist_ok=True)
output_path = f"outputs/chart_{x_column}_{y_column}.png"
plt.savefig(output_path)
plt.close()
return f"Success! Visualization generated and saved to: {output_path}"
except Exception as e:
return f"Error generating visualization: {str(e)}"
# -----------------------------
# Agent Handler
# -----------------------------
def handler(messages: list[dict]):
try:
last_message = messages[-1]
user_query = ""
# Safely extract text from the Bindu payload
if "parts" in last_message:
for part in last_message["parts"]:
if part.get("kind") == "text":
user_query += part.get("text", "") + "\n"
elif "content" in last_message:
user_query = last_message.get("content", "")
user_query = user_query.strip()
if not user_query:
return [{"role": "assistant", "content": "Error: No text received."}]
# Instantiate agent cleanly inside the thread
agent = Agent(
name="AI Data Analysis Agent",
instructions=[
"You are an elite Data Scientist.",
"When a user provides a path to a CSV, use the 'analyze_dataset' tool to understand its structure.",
"Proactively use the 'generate_visualization' tool to create compelling charts.",
"Always format your final output as a highly structured analytical report using Markdown."
],
model=OpenRouter(
id="openai/gpt-oss-120b",
api_key=os.getenv("OPENROUTER_API_KEY")
),
tools=[analyze_dataset, generate_visualization],
markdown=True,
telemetry=False
)
result = agent.run(user_query)
# Agent autonomously saves its own report
os.makedirs("outputs", exist_ok=True)
report_path = "outputs/analysis_report.md"
with open(report_path, "w", encoding="utf-8") as f:
f.write(result.content)
return [{"role": "assistant", "content": str(result.content)}]
except Exception as e:
traceback.print_exc()
return [{"role": "assistant", "content": f"Agent crashed: {str(e)}"}]
# -----------------------------
# Bindu Configuration
# -----------------------------
config = {
"author": "your.email@example.com",
"name": "AI Data Analysis Agent",
"description": "An analytical agent that processes CSV data and generates visual charts.",
"deployment": {
"url": "http://localhost:3773",
"expose": True,
"cors_origins": ["http://localhost:5173"]
},
"skills":["skills/ai-data-analysis-agent"],
}
if __name__ == "__main__":
bindufy(config=config, handler=handler)
