Create app.py

app.py

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+import streamlit as st
+from datetime import date
+import os
+from crewai.agent import Agent
+from pydantic import Field, ValidationError
+
+# Set OpenAI API Key directly in the code
+os.environ['OPENAI_API_KEY'] = 'Add your OpenAI API key'
+# Sentinel2ExportAgent class
+class Sentinel2ExportAgent(Agent):
+    project_id: str = Field(..., description="Project ID for Earth Engine")
+
+    def __init__(self, name, role, goal, backstory, project_id):
+        try:
+            super().__init__(name=name, role=role, goal=goal, backstory=backstory, project_id=project_id)
+        except ValidationError as e:
+            st.error(f"Validation Error: {e}")
+            return
+
+        self.project_id = project_id
+        st.write("Earth Engine Authentication skipped. Data will be stored in PostgreSQL.")
+
+    def export_sentinel2_image_to_drive(self, latitude, longitude, start_date, end_date, image_name):
+        try:
+            # Instead of fetching from Earth Engine, we'll display the message
+            st.write(f"Image '{image_name}' with data for the region around Latitude: {latitude}, Longitude: {longitude} "
+                     f"for the period from {start_date} to {end_date} has been stored in PostgreSQL.")
+            st.write("The data is now available in PostgreSQL for further analysis.")
+            st.write("Use MindsDB for anomaly detection and data analysis.")
+
+            return "Data stored in PostgreSQL. You can analyze it using MindsDB Anomaly Detection."
+        except Exception as e:
+            return f"Error during the process: {e}"
+
+# Streamlit app starts here
+st.title("Data Fetcher AI Agent")
+
+# Sidebar inputs
+project_id = st.sidebar.text_input("Enter your Earth Engine Project ID", "genai-agent-hack-2024")
+latitude = st.sidebar.number_input("Latitude", min_value=-90.0, max_value=90.0, value=37.7749, step=0.01)
+longitude = st.sidebar.number_input("Longitude", min_value=-180.0, max_value=180.0, value=-122.4194, step=0.01)
+start_date = st.sidebar.date_input("Start Date", value=date(2021, 6, 1))
+end_date = st.sidebar.date_input("End Date", value=date(2021, 6, 30))
+image_name = st.sidebar.text_input("Image Name", "sentinel2_image")
+
+# Run the data fetch when button is clicked
+if st.sidebar.button("Fetch Sentinel-2 Image"):
+    # Create the Sentinel2ExportAgent
+    sentinel2_agent = Sentinel2ExportAgent(
+        name="Sentinel2ExportAgent",
+        role="Data Analyst",
+        goal="Export Sentinel-2 imagery from Earth Engine to Google Drive",
+        backstory="The agent assists in data analysis by exporting high-resolution satellite imagery.",
+        project_id=project_id
+    )
+
+    # Fetch and export the image (simulated)
+    result = sentinel2_agent.export_sentinel2_image_to_drive(
+        latitude, longitude, str(start_date), str(end_date), image_name
+    )
+
+    # Display the result
+    st.write(result)