backup

2026-05-15 18:02:38 +02:00
parent 72016728e2
commit 307e452251
175 changed files with 9316 additions and 0 deletions
@@ -0,0 +1,142 @@
+"""
+Regen shot-04, shot-06, shot-07 with corrected scenes.
+shot-04: carpet before/after reveal, no machine
+shot-06: clean bright staircase, no machine
+shot-07: bright modern office, no dark tones
+"""
+import os, sys, time, subprocess
+
+try:
+    from google import genai
+    from google.genai import types
+except ImportError:
+    os.system(f"{sys.executable} -m pip install google-genai --quiet")
+    from google import genai
+    from google.genai import types
+
+API_KEY  = os.environ.get("GEMINI_API_KEY", "AIzaSyB_1p8KvaT_rdNJGPs8HKk8bKsvUlcL6Kg")
+BASE_DIR = os.path.dirname(os.path.dirname(__file__))
+VID_DIR  = os.path.join(BASE_DIR, "assets", "videos", "hero", "clips")
+REEL_OUT = os.path.join(BASE_DIR, "assets", "videos", "hero", "hero-reel.mp4")
+client   = genai.Client(api_key=API_KEY)
+
+SHOTS = [
+    {
+        "name": "shot-04-extraction-carpet",
+        "prompt": (
+            "Cinematic slow-motion wide shot. Camera glides low across a residential living room carpet. "
+            "The left half of the carpet is visibly dirty, stained, and matted. "
+            "The right half is bright, clean, fluffy, and freshly extracted. "
+            "The boundary between dirty and clean is sharp and dramatic. "
+            "Warm natural afternoon light. No people. No machines. No equipment. Photorealistic."
+        ),
+    },
+    {
+        "name": "shot-06-extraction-stairs",
+        "prompt": (
+            "Cinematic slow-motion shot looking up a bright residential carpeted staircase. "
+            "Each step has clean, bright, plush beige carpet with fresh extraction lines. "
+            "Warm natural light from above illuminates the stairs. Wood banisters on each side. "
+            "No people. No machines. No equipment anywhere in frame. Photorealistic."
+        ),
+    },
+    {
+        "name": "shot-07-office-entryway",
+        "prompt": (
+            "Wide cinematic shot of a bright modern commercial office building lobby. "
+            "Large windows let in abundant natural daylight. Clean beige or grey commercial carpet throughout. "
+            "White walls, professional lighting, glass doors, contemporary furniture. "
+            "The carpet looks spotlessly clean with neat vacuum lines. "
+            "No people. No machines. No dark tones — the space is bright and well-lit. Photorealistic."
+        ),
+    },
+]
+
+MODEL = "veo-3.1-generate-preview"
+
+def poll(op, timeout=600):
+    elapsed = 0
+    while not op.done:
+        if elapsed >= timeout:
+            print(f"  Timed out after {timeout}s.")
+            return None
+        print(f"  Waiting... ({elapsed}s)")
+        time.sleep(15)
+        elapsed += 15
+        op = client.operations.get(op)
+    return op
+
+saved = []
+for item in SHOTS:
+    out_path = os.path.join(VID_DIR, f"{item['name']}.mp4")
+    print(f"\n[VID] Generating {item['name']}...")
+    try:
+        op = client.models.generate_videos(
+            model=MODEL,
+            prompt=item["prompt"],
+            config=types.GenerateVideosConfig(
+                aspect_ratio="16:9",
+                resolution="720p",
+                duration_seconds=6,
+                number_of_videos=1,
+            ),
+        )
+        op = poll(op)
+        if op is None:
+            print(f"  FAILED (timeout)")
+            continue
+        if op.response and op.response.generated_videos:
+            vid = op.response.generated_videos[0].video
+            video_bytes = client.files.download(file=vid)
+            if video_bytes:
+                with open(out_path, "wb") as f:
+                    f.write(video_bytes)
+                print(f"  Saved ({os.path.getsize(out_path)//1024}KB)")
+                saved.append(item["name"])
+            else:
+                try:
+                    vid.save(out_path)
+                    print(f"  Saved via .save() ({os.path.getsize(out_path)//1024}KB)")
+                    saved.append(item["name"])
+                except Exception as e2:
+                    print(f"  Download failed: {e2}")
+        else:
+            print(f"  No video returned")
+    except Exception as e:
+        print(f"  Error: {e}")
+
+print(f"\n{len(saved)}/{len(SHOTS)} shots saved: {saved}")
+
+ORDER = [
+    "shot-01-door-opens-trimmed",
+    "shot-02-pan-to-stains",
+    "shot-03-stain-closeup",
+    "shot-04-extraction-carpet",
+    "shot-05-extraction-couch",
+    "shot-06-extraction-stairs",
+    "shot-07-office-entryway",
+    "shot-08-showroom",
+    "shot-09-technician-unloading",
+]
+
+missing = [n for n in ORDER if not os.path.exists(os.path.join(VID_DIR, f"{n}.mp4"))]
+if missing:
+    print(f"\nSkipping reconcat — missing: {missing}")
+else:
+    print("\nReconcatenating hero-reel.mp4...")
+    concat_file = os.path.join(VID_DIR, "concat.txt")
+    with open(concat_file, "w") as f:
+        for name in ORDER:
+            f.write(f"file '{os.path.join(VID_DIR, name)}.mp4'\n")
+    result = subprocess.run(
+        ["ffmpeg", "-y", "-f", "concat", "-safe", "0", "-i", concat_file,
+         "-c:v", "libx264", "-crf", "22", "-preset", "fast",
+         "-movflags", "+faststart", REEL_OUT],
+        capture_output=True, text=True
+    )
+    if result.returncode == 0:
+        print(f"  Reel saved ({os.path.getsize(REEL_OUT)//1024}KB)")
+    else:
+        print(f"  ffmpeg error: {result.stderr[-400:]}")
+
+print("\nDone.")