feat: implement vertical crop, local LLM deepseek-v4-flash, multi-threading, word-level pink box highlight subtitles, and Nextcloud scan sync

2026-07-02 16:12:23 +02:00
parent 50bdaedebb
commit c7c3c4b74a
154 changed files with 36256 additions and 3 deletions
@@ -0,0 +1,41 @@
+"""Per-clip cropping via MuAPI /autocrop.
+
+Given the source video URL plus a highlight's start/end and a target aspect
+ratio, MuAPI returns a vertically-cropped short ready for posting.
+"""
+from typing import Dict
+
+from . import muapi
+from .downloader import _extract_video_url
+
+
+def crop_clip(source_video_url: str, start_time: float, end_time: float, aspect_ratio: str = "9:16") -> str:
+    """Submit one autocrop job and return the URL of the rendered short."""
+    payload = {
+        "video_url": source_video_url,
+        "start_time": float(start_time),
+        "end_time": float(end_time),
+        "aspect_ratio": aspect_ratio,
+    }
+    print(f"[clip] {start_time:.1f}s → {end_time:.1f}s @ {aspect_ratio}", flush=True)
+    result = muapi.run("autocrop", payload, label=f"autocrop({start_time:.0f}-{end_time:.0f})")
+    return _extract_video_url(result)
+
+
+def crop_highlights(source_video_url: str, highlights: list, aspect_ratio: str = "9:16") -> list:
+    """Crop every highlight, attaching the resulting URL back onto the dict."""
+    out = []
+    for i, h in enumerate(highlights, 1):
+        print(f"[clip] {i}/{len(highlights)}: {h.get('title', '(untitled)')}", flush=True)
+        try:
+            url = crop_clip(
+                source_video_url,
+                h["start_time"],
+                h["end_time"],
+                aspect_ratio=aspect_ratio,
+            )
+            out.append({**h, "clip_url": url})
+        except Exception as e:
+            print(f"[clip] {i} failed: {e}", flush=True)
+            out.append({**h, "clip_url": None, "error": str(e)})
+    return out