From 5d8a4101c16ea6189602127c60ec707173047776 Mon Sep 17 00:00:00 2001
From: stud203799 <stud203799@vyatsu.ru>
Date: Mon, 27 Apr 2026 14:21:35 +0300
Subject: [PATCH] =?UTF-8?q?=D1=80=D0=B5=D0=B0=D0=BB=D0=B8=D0=B7=D0=B0?=
 =?UTF-8?q?=D1=86=D0=B8=D1=8F=20=D1=84=D1=83=D0=BD=D0=BA=D1=86=D0=B8=D0=B8?=
 =?UTF-8?q?=20generate=5Fsummary=5Freport?=
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Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 main.py | 22 ++++++++++++++++++++--
 1 file changed, 20 insertions(+), 2 deletions(-)

diff --git a/main.py b/main.py
index 386afa5..fba4c72 100644
--- a/main.py
+++ b/main.py
@@ -106,8 +106,26 @@ def detect_anomalies(reviews: list, sentiment_threshold: float = 0.5):
     return anomalys
 
 
-def generate_summary_report(valid_reviews: list, all_reviews_count: int, anomalies: list):
-    return dict
+def generate_summary_report(valid_reviews: list, all_reviews: list, spam_indicators: list,  anomalies: list):
+    spam_count = 0
+    for i in all_reviews:
+        if is_spam(i.get('text'), spam_indicators):
+            spam_count += 1
+
+    summ = 0
+    for i in valid_reviews:
+        summ += i.get('sentiment')
+    avg_sent = summ / len(valid_reviews)
+
+    summary_report = {
+        "total_processed": len(all_reviews),
+        "valid_count": len(valid_reviews),
+        "spam_count": spam_count,
+        "avg_sentiment": avg_sent,
+        "topic_ratings": calculate_average_rating_by_topic(valid_reviews),
+        "anomaly_ids": anomalies,
+    }
+    return summary_report
 
 
 def main():