feat: word frequency endpoint with stop word removal
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@@ -14,7 +14,9 @@ httplib2==0.31.1
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idna==3.11
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itsdangerous==2.2.0
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Jinja2==3.1.6
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joblib==1.5.3
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MarkupSafe==3.0.3
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nltk==3.9.2
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numpy==2.4.1
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pandas==2.3.3
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proto-plus==1.27.0
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@@ -27,10 +29,12 @@ pyparsing==3.3.1
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python-dateutil==2.9.0.post0
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python-dotenv==1.2.1
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pytz==2025.2
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regex==2026.1.15
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requests==2.32.5
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rsa==4.9.1
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six==1.17.0
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soupsieve==2.8.1
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tqdm==4.67.1
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typing_extensions==4.15.0
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tzdata==2025.3
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uritemplate==4.2.0
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@@ -1,5 +1,7 @@
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from flask import Flask, jsonify, request
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from flask_cors import CORS
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import nltk
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from nltk.corpus import stopwords
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import pandas as pd
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app = Flask(__name__)
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@@ -11,6 +13,9 @@ CORS(app, resources={r"/*": {"origins": "http://localhost:5173"}})
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posts_df = None
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comments_df = None
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nltk.download('stopwords')
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EXCLUDE_WORDS = set(stopwords.words('english'))
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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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@@ -76,5 +81,30 @@ def comments_per_day():
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return jsonify(comments_per_day.to_dict(orient='records')), 200
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@app.route('/stats/word_frequencies', methods=['GET'])
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def word_frequencies():
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if posts_df is None:
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return jsonify({"error": "No data uploaded"}), 400
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try:
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all_text = " ".join(posts_df['content'].fillna(''))
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words = all_text.split()
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word_freq = {}
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for word in words:
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clean_word = ''.join(c.lower() for c in word if c.isalnum())
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if clean_word and clean_word not in EXCLUDE_WORDS:
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word_freq[clean_word] = word_freq.get(clean_word, 0) + 1
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sorted_words = sorted(word_freq.items(), key=lambda item: item[1], reverse=True)
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# Get top 100 words and their frequencies and return as list of dicts
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sorted_words = [{"word": word, "frequency": freq} for word, freq in sorted_words]
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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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return jsonify(sorted_words[:100]), 200
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if __name__ == "__main__":
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app.run(debug=True)
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