Added chat peak detector

clipper/analyser.py

@@ -0,0 +1,74 @@
+import scipy
+import numpy as np
+import logging
+import matplotlib.pyplot as plt
+
+from datetime import datetime
+
+from clipper.chat import CHAT_DIVIDER
+
+logger = logging.getLogger(__name__)
+
+
+class ChatAnalyser:
+    def run(self, chat_file, peaks_output_file, peaks_output_chart):
+        dates = self._read_message_dates(chat_file)
+        messages_per_minute = self._group_dates(dates)
+        peaks = self._find_peeks(messages_per_minute, peaks_output_file, peaks_output_chart)
+        logger.info("Found peaks: %s for file %s", peaks, chat_file)
+        return peaks
+
+    def _read_message_dates(self, chat_file):
+        dates = []
+
+        with open(chat_file, "r") as stream:
+            while True:
+
+                line = stream.readline()
+                if not line:
+                    break
+
+                message_data = line.split(CHAT_DIVIDER)
+                if len(message_data) != 3:
+                    # Wrong line format
+                    continue
+
+                date = message_data[0]
+                dates.append(self._parse_date(date))
+        return dates
+
+    def _parse_date(self, date_str):
+        return datetime.strptime(date_str, "%Y-%m-%d %H:%M:%S.%f")
+
+    def _group_dates(self, dates):
+        groups = {}
+        for d in dates:
+            key = datetime.strftime(d, "%Y-%m-%d %H:%M")
+            if key in groups.keys():
+                groups[key] = groups[key] + 1
+            else:
+                groups[key] = 0
+
+        groups.values()
+        return groups
+
+    def _find_peeks(self, messages_per_minute, peaks_output_file, peaks_output_chart):
+        y_coordinates = list(messages_per_minute.values())
+        x_coordinates = list(messages_per_minute.keys())
+        peak_indices = scipy.signal.find_peaks_cwt(np.array(y_coordinates), 1)
+
+        x_hours = [x.split(" ")[1] for x in x_coordinates]
+        fig, ax = plt.subplots()
+        ax.plot(x_hours, y_coordinates)
+        fig.autofmt_xdate()
+        plt.xlabel("Time")
+        plt.ylabel("Count")
+        plt.title("Stream chat reaction")
+        plt.savefig(peaks_output_chart)
+
+        peak_values = [x_coordinates[index] for index in peak_indices]
+        with open(peaks_output_file, "w") as stream:
+            for peak in peak_values:
+                stream.writelines(f"{peak}\n")
+
+        return peak_indices

requirements.txt

@@ -1,4 +1,6 @@
 requests==2.28.1
 streamlink==4.2.0
 twitchAPI==2.5.7
-irc==20.1.0
+irc==20.1.0
+scipy==1.9.0
+matplotlib==3.5.2