Files
yt-channel-scraper/tests/test_store_platform.py
T
urieljareth 621bbc5f5c 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).
2026-07-26 23:19:34 -06:00

170 lines
6.0 KiB
Python

from __future__ import annotations
import json
from pathlib import Path
import pytest
from yt_scraper.store import Store, VideoRef
from yt_scraper.parse import Segment
@pytest.fixture()
def store(tmp_path):
return Store(tmp_path / "test.db")
@pytest.fixture()
def seeded_store(store):
store.upsert_channel("UC1", "@alpha", "Alpha", 2)
store.upsert_channel("UC2", "@beta", "Beta", 1)
refs = [
VideoRef("v1", "UC1", "Hello world vaporwave", "https://y/watch?v=v1", "20240101", 120),
VideoRef("v2", "UC1", "Dragon ball nostalgia", "https://y/watch?v=v2", "20240201", 200),
VideoRef("v3", "UC2", "Vaporwave aesthetics", "https://y/watch?v=v3", "20240301", 300),
]
store.upsert_videos(refs)
return store
def test_migration_idempotent(tmp_path):
db = tmp_path / "a.db"
s1 = Store(db)
s2 = Store(db) # second instantiation should not error
# new columns exist
cols = {r["name"] for r in s1._connect().execute("PRAGMA table_info(videos)")}
for c in ("view_count", "tags", "segments_json", "chapters_json", "thumbnail"):
assert c in cols
# new tables exist
names = {r["name"] for r in s1._connect().execute("SELECT name FROM sqlite_master WHERE type='table'")}
for t in ("transcript_segments", "cookies_meta", "scrape_jobs"):
assert t in names
# fts table
fts = {r["name"] for r in s1._connect().execute("SELECT name FROM sqlite_master WHERE type='table' AND name LIKE '%fts%'")}
assert "transcript_fts" in fts
def test_store_and_search_segments(seeded_store):
store = seeded_store
segs = [
Segment(0.0, 2.0, "vaporwave is an aesthetic"),
Segment(3.0, 5.0, "dragon ball is a classic anime"),
]
store.store_segments("v1", segs)
store.store_segments("v3", [Segment(0.0, 2.0, "retro vaporwave vibes")])
hits = store.search_segments("vaporwave")
assert len(hits) == 2
vids = {h.video_id for h in hits}
assert vids == {"v1", "v3"}
# channel-scoped search
hits_c = store.search_segments("vaporwave", channel_id="UC2")
assert len(hits_c) == 1
assert hits_c[0].video_id == "v3"
# get_segments ordered
seg_rows = store.get_segments("v1")
assert len(seg_rows) == 2
assert seg_rows[0].idx == 0
def test_store_segments_overwrites(seeded_store):
store = seeded_store
store.store_segments("v1", [Segment(0.0, 1.0, "old")])
store.store_segments("v1", [Segment(0.0, 1.0, "new"), Segment(2.0, 3.0, "second")])
rows = store.get_segments("v1")
assert len(rows) == 2
assert rows[0].text == "new"
def test_update_video_metadata(seeded_store):
store = seeded_store
store.update_video_metadata("v1", view_count=1000, like_count=50, tags=["music", "retro"], thumbnail="http://t.png")
v = store.get_video("v1")
assert v.view_count == 1000
assert v.like_count == 50
assert json.loads(v.tags) == ["music", "retro"]
assert v.thumbnail == "http://t.png"
def test_query_videos_filters(seeded_store):
store = seeded_store
rows, total = store.query_videos(channel_id="UC1")
assert total == 2
rows2, total2 = store.query_videos(min_duration=250)
assert total2 == 1
assert rows2[0].video_id == "v3"
rows3, total3 = store.query_videos(q="dragon")
assert total3 == 1
assert rows3[0].video_id == "v2"
def test_cookie_vault(store):
from yt_scraper import cookies
sample = (
"# Netscape HTTP Cookie File\n"
".youtube.com\tTRUE\t/\tTRUE\t1800287621\tSID\tabc\n"
".youtube.com\tTRUE\t/\tTRUE\t1800287621\tSAPISID\tdef\n"
".youtube.com\tTRUE\t/\tFALSE\t1800287621\tPREF\tf1=2\n"
)
cid = cookies.import_text(store, sample, label="test", cookie_dir=str(Path(store.db_path).parent / "ck"))
vault = cookies.list_vault(store)
assert len(vault) == 1
assert vault[0].has_session is True
assert vault[0].cookie_count == 3
# set active + resolve
cookies.set_active(store, cid)
path = cookies.resolve_active_path(store, cookie_dir=str(Path(store.db_path).parent / "ck"))
assert path and Path(path).exists()
# delete
cookies.delete(store, cid, cookie_dir=str(Path(store.db_path).parent / "ck"))
assert cookies.list_vault(store) == []
def test_cookie_invalid_rejected(store):
from yt_scraper import cookies
with pytest.raises(ValueError):
cookies.import_text(store, "not a cookie file", label="bad", cookie_dir=str(Path(store.db_path).parent / "ck"))
def test_cookie_only_one_active(store):
from yt_scraper import cookies
cdir = str(Path(store.db_path).parent / "ck2")
sample = "# Netscape\n.youtube.com\tTRUE\t/\tTRUE\t1800287621\tSID\tx\n"
c1 = cookies.import_text(store, sample, label="a", cookie_dir=cdir)
c2 = cookies.import_text(store, sample, label="b", cookie_dir=cdir)
cookies.set_active(store, c1)
cookies.set_active(store, c2)
actives = [c for c in cookies.list_vault(store) if c.is_active]
assert len(actives) == 1
assert actives[0].id == c2
def test_jobs_crud(store):
store.create_job("job1", "UC1", {"limit": 5})
store.update_job("job1", status="running", total=5)
store.update_job("job1", completed=3)
j = store.get_job("job1")
assert j.status == "running"
assert j.total == 5
assert j.completed == 3
store.update_job("job1", status="done", completed=5, finished=True)
j2 = store.get_job("job1")
assert j2.status == "done"
assert j2.finished_at is not None
def test_dashboard_aggregates(seeded_store):
store = seeded_store
store.store_segments("v1", [Segment(0.0, 2.0, "vaporwave hello")])
store.update_video_metadata("v1", view_count=500, tags=["music", "vaporwave"])
store.update_video_metadata("v2", tags=["music", "anime"])
d = store.dashboard()
assert len(d["channels"]) == 2
ch1 = [c for c in d["channels"] if c["channel_id"] == "UC1"][0]
assert ch1["video_count_db"] == 2
assert ch1["total_views"] == 500
tags = {t["tag"]: t["count"] for t in d["top_tags"]}
assert tags.get("music") == 2