LightKurve API

App.py

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+from flask import Flask, request, jsonify
+import lightkurve as lk
+import logging
+import numpy as np
+
+app = Flask(__name__)
+
+@app.route('/lightcurve/summary', methods=['POST'])
+def get_lightcurve_summary():
+
+    try:
+        request_data = request.get_json()
+        if not request_data or 'tic_id' not in request_data:
+            return jsonify({'error': 'Missing required field "tic_id"'}), 400
+
+        tic_id = request_data['tic_id']
+        if not tic_id.startswith("TIC "):
+            return jsonify({'error': 'Invalid TIC ID format'}), 400
+
+        lightcurve_data = lk.search_lightcurve(tic_id).download()
+        if lightcurve_data is None:
+            return jsonify({'error': 'No light curve found'}), 404
+
+        flux_values = lightcurve_data.flux.value
+        statistics_summary = {
+            'mean': float(np.mean(flux_values)),
+            'median': float(np.median(flux_values)),
+            'standard_deviation': float(np.std(flux_values)),
+            'peak_to_peak': float(np.ptp(flux_values)),
+            'interquartile_range': float(np.percentile(flux_values, 75) - np.percentile(flux_values, 25)),
+        }
+
+        return jsonify(statistics_summary)
+
+    except Exception as e:
+        logging.error(f"Error processing request: {str(e)}")
+        return jsonify({'error': str(e)}), 500
+
+if __name__ == '__main__':
+    app.run(debug=True)

README.md

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+# Lightcurve Summary API
+
+This Flask application provides an API endpoint to fetch and summarize light curve data for a given TIC ID from the TESS (Transiting Exoplanet Survey Satellite) data using the `lightkurve` Python library.
+
+## Features
+
+- Fetch light curve data using a TIC ID.
+- Calculate statistical summaries of the light curve data including mean, median, standard deviation, peak-to-peak, and interquartile range.
+
+## Requirements
+
+- Flask
+- lightkurve
+- numpy
+
+## Installation
+
+Clone the repository and install the required packages:
+
+
+
+
+