feat: local content-mining platform for YouTube creator scraping

Scraper de canales de YouTube hacia notas Markdown para base de conocimiento
(Obsidian-ready), con plataforma web local.

Engine + CLI (Workstream A):
- Modular pipeline: discover/extract/parse/chapters/render/store + ratelimit
- SQLite store con migración idempotente: FTS5 (transcript search), columnas
  de metadata enriquecida, tablas cookies_meta y scrape_jobs
- Módulos: segments, cookies (Netscape vault), export (json/csv/srt/html),
  analysis (word freq/timeline/wordcloud), monitor (watch loop), pipeline
- CLI Click group: search, export, audio, channels, watch, analyze, re-render
- Fix del bug de scoping de cookies en cli.py

Webapp local (Workstream B):
- FastAPI backend: dashboard, channels, videos facetado, transcript, search
  FTS, analysis, scrape jobs con SSE, cookies drag-and-drop, exports,
  folders (abrir en OS), tools (re-render, formato)
- SPA no-build (Alpine.js + Tailwind + Chart.js por CDN): 9 vistas, tema
  dark command-center con acento rojo→rosa, cookie vault drag-drop,
  consola de scrapeo con progreso live vía SSE

Launcher + subagentes (Workstream C):
- start-server.bat / stop-server.bat con auto port-scan + browser open
- .opencode/agent/webapp-builder.md + .opencode/goals/webapp-build.md

Tests: 38 pytest verdes. Sin funcionalidad de IA (enfoque data-mining).

tests/test_parse.py

@@ -0,0 +1,59 @@
+from __future__ import annotations
+
+from pathlib import Path
+
+from yt_scraper.parse import Segment, parse_json3, parse_vtt, merge_adjacent
+
+FIXTURES = Path(__file__).parent / "fixtures"
+
+
+def test_parse_json3_basic():
+    raw = (FIXTURES / "sample.json3").read_text(encoding="utf-8")
+    segs = parse_json3(raw)
+    assert len(segs) >= 2
+    assert segs[0].start == 0.0
+    assert "Hola" in segs[0].text
+    assert "segunda" in segs[0].text
+    assert segs[-1].start == 6.0
+    assert "Tercera" in segs[-1].text
+
+
+def test_parse_json3_skips_empty_events():
+    raw = (FIXTURES / "sample.json3").read_text(encoding="utf-8")
+    segs = parse_json3(raw)
+    texts = [s.text for s in segs]
+    assert all(t.strip() for t in texts)
+
+
+def test_parse_vtt_basic():
+    raw = (FIXTURES / "sample.vtt").read_text(encoding="utf-8")
+    segs = parse_vtt(raw)
+    assert len(segs) == 2
+    assert segs[0].start == 0.0
+    assert "Hola" in segs[0].text
+    assert "tag" in segs[0].text
+    assert segs[1].start == 6.0
+    assert "Tercer" in segs[1].text
+
+
+def test_parse_vtt_strips_tags():
+    raw = (FIXTURES / "sample.vtt").read_text(encoding="utf-8")
+    segs = parse_vtt(raw)
+    assert "<c." not in segs[1].text
+
+
+def test_merge_adjacent():
+    segs = [
+        Segment(start=0.0, end=1.0, text="a"),
+        Segment(start=1.0, end=2.0, text="b"),
+        Segment(start=5.0, end=6.0, text="c"),
+    ]
+    merged = merge_adjacent(segs, max_gap=0.0)
+    assert len(merged) == 2
+    assert "a b" in merged[0].text
+    assert merged[1].text == "c"
+
+
+def test_parse_json3_invalid_json():
+    assert parse_json3("not json") == []
+    assert parse_json3('{"events": []}') == []