feat: implement DTW comparison, add data segmentation and persistence, and update QML UI for file imports and graphing.

src/pygui/backend/splitter.py

@@ -0,0 +1,48 @@
+"""Threshold-based temperature profile segmentation into Ramp/Soak/Cool phases."""
+
+from dataclasses import dataclass
+
+
+@dataclass
+class DataSegment:
+    """A contiguous segment of the temperature profile."""
+    label: str
+    start_frame: int
+    end_frame: int
+    avg_temp: float
+
+
+def segment_profile(avg_temps: list[float], threshold: float = 40.0) -> list[DataSegment]:
+    """Scan average temperatures and identify Ramp/Soak/Cool phases.
+
+    Args:
+        avg_temps: Per-frame average temperatures.
+        threshold: Temperature threshold (°C) defining Soak entry/exit.
+
+    Returns:
+        List of DataSegment objects covering the entire profile.
+    """
+    if not avg_temps:
+        return []
+
+    segments: list[DataSegment] = []
+    n = len(avg_temps)
+    i = 0
+
+    while i < n and avg_temps[i] < threshold:
+        i += 1
+    if i > 0:
+        avg = sum(avg_temps[:i]) / i
+        segments.append(DataSegment("Ramp", 0, i - 1, round(avg, 2)))
+
+    while i < n:
+        start = i
+        above = avg_temps[i] >= threshold
+        while i < n and (avg_temps[i] >= threshold) == above:
+            i += 1
+        label = "Soak" if above else "Cool"
+        count = i - start
+        avg = sum(avg_temps[start:i]) / count
+        segments.append(DataSegment(label, start, i - 1, round(avg, 2)))
+
+    return segments