131 lines
4.3 KiB
Python
131 lines
4.3 KiB
Python
from flask import Flask, jsonify, request
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from flask_cors import CORS
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from server.stat_gen import StatGen
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import pandas as pd
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import traceback
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app = Flask(__name__)
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# Allow for CORS from localhost:5173
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CORS(app, resources={r"/*": {"origins": "http://localhost:5173"}})
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# Global State
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posts_df = pd.read_json('posts.jsonl', lines=True)
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comments_df = pd.read_json('comments.jsonl', lines=True)
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stat_obj = StatGen(posts_df, comments_df)
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@app.route('/upload', methods=['POST'])
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def upload_data():
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if "posts" not in request.files or "comments" not in request.files:
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return jsonify({"error": "Missing posts or comments file"}), 400
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post_file = request.files["posts"]
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comment_file = request.files["comments"]
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if post_file.filename == "" or comment_file.filename == "":
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return jsonify({"error": "Empty filename"}), 400
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if not post_file.filename.endswith('.jsonl') or not comment_file.filename.endswith('.jsonl'):
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return jsonify({"error": "Invalid file type. Only .jsonl files are allowed."}), 400
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try:
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global stat_obj
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posts_df = pd.read_json(post_file, lines=True)
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comments_df = pd.read_json(comment_file, lines=True)
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stat_obj = StatGen(posts_df, comments_df)
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except ValueError as e:
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return jsonify({"error": f"Failed to read JSONL file: {str(e)}"}), 400
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except Exception as e:
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return jsonify({"error": f"An unexpected error occurred: {str(e)}"}), 500
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return jsonify({"message": "File uploaded successfully", "event_count": len(stat_obj.df)}), 200
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@app.route('/stats/content', methods=['GET'])
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def word_frequencies():
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if stat_obj is None:
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return jsonify({"error": "No data uploaded"}), 400
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try:
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return jsonify(stat_obj.content_analysis()), 200
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except ValueError as e:
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return jsonify({"error": f"Malformed or missing data: {str(e)}"}), 400
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except Exception as e:
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print(traceback.format_exc())
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return jsonify({"error": f"An unexpected error occurred: {str(e)}"}), 500
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@app.route('/stats/summary', methods=["GET"])
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def get_summary():
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if stat_obj is None:
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return jsonify({"error": "No data uploaded"}), 400
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try:
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return jsonify(stat_obj.summary()), 200
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except ValueError as e:
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return jsonify({"error": f"Malformed or missing data: {str(e)}"}), 400
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except Exception as e:
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return jsonify({"error": f"An unexpected error occurred: {str(e)}"}), 500
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@app.route("/stats/time", methods=["GET"])
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def get_time_analysis():
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if stat_obj is None:
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return jsonify({"error": "No data uploaded"}), 400
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try:
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return jsonify(stat_obj.time_analysis()), 200
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except ValueError as e:
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return jsonify({"error": f"Malformed or missing data: {str(e)}"}), 400
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except Exception as e:
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print(traceback.format_exc())
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return jsonify({"error": f"An unexpected error occurred: {str(e)}"}), 500
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@app.route('/filter/search', methods=["POST"])
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def search_dataset():
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if stat_obj is None:
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return jsonify({"error": "No data uploaded"}), 400
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data = request.get_json(silent=True) or {}
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if "query" not in data:
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return stat_obj.df
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query = data["query"]
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filtered_df = stat_obj.search(query)
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return jsonify(filtered_df), 200
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@app.route('/filter/time', methods=["POST"])
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def filter_time():
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if stat_obj is None:
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return jsonify({"error": "No data uploaded"}), 400
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data = request.get_json(silent=True)
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if not data:
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return jsonify({"error": "Invalid or missing JSON body"}), 400
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if "start" not in data or "end" not in data:
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return jsonify({"error": "Please include both start and end dates"}), 400
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try:
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start = pd.to_datetime(data["start"], utc=True)
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end = pd.to_datetime(data["end"], utc=True)
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except Exception:
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return jsonify({"error": "Invalid datetime format"}), 400
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filtered_df = stat_obj.set_time_range(start, end)
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return jsonify(filtered_df), 200
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@app.route('/filter/reset', methods=["GET"])
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def reset_dataset():
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if stat_obj is None:
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return jsonify({"error": "No data uploaded"}), 400
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stat_obj.reset_dataset()
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return jsonify({"success": "Dataset successfully reset"})
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if __name__ == "__main__":
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app.run(debug=True) |