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feat(immersion): add anime metadata, occurrence tracking, and schema upgrades

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- Add imm_anime table with AniList integration
- Add imm_subtitle_lines, imm_word_line_occurrences, imm_kanji_line_occurrences
- Add POS fields (part_of_speech, pos1, pos2, pos3) to imm_words
- Add anime metadata parsing with guessit fallback
- Add video duration tracking and watched status
- Add episode, streak, trend, and word/kanji detail queries
- Deduplicate subtitle line recording within sessions
- Pass Anki note IDs through card mining callback chain
This commit is contained in:
Kyle Yasuda
2026-03-14 22:13:42 -07:00
parent ee95e86ad5
commit f005f542a3
19 changed files with 5231 additions and 122 deletions
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72
src/core/services/immersion-tracker/maintenance.ts
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@@ -112,35 +112,46 @@ function upsertDailyRollupsForGroups(
words_per_min, lookup_hit_rate, CREATED_DATE, LAST_UPDATE_DATE
)
SELECT
CAST(s.started_at_ms / 86400000 AS INTEGER) AS rollup_day,
CAST(julianday(s.started_at_ms / 1000, 'unixepoch', 'localtime') - 2440587.5 AS INTEGER) AS rollup_day,
s.video_id AS video_id,
COUNT(DISTINCT s.session_id) AS total_sessions,
COALESCE(SUM(t.active_watched_ms), 0) / 60000.0 AS total_active_min,
COALESCE(SUM(t.lines_seen), 0) AS total_lines_seen,
COALESCE(SUM(t.words_seen), 0) AS total_words_seen,
COALESCE(SUM(t.tokens_seen), 0) AS total_tokens_seen,
COALESCE(SUM(t.cards_mined), 0) AS total_cards,
COALESCE(SUM(sm.max_active_ms), 0) / 60000.0 AS total_active_min,
COALESCE(SUM(sm.max_lines), 0) AS total_lines_seen,
COALESCE(SUM(sm.max_words), 0) AS total_words_seen,
COALESCE(SUM(sm.max_tokens), 0) AS total_tokens_seen,
COALESCE(SUM(sm.max_cards), 0) AS total_cards,
CASE
WHEN COALESCE(SUM(t.active_watched_ms), 0) > 0
THEN (COALESCE(SUM(t.cards_mined), 0) * 60.0) / (COALESCE(SUM(t.active_watched_ms), 0) / 60000.0)
WHEN COALESCE(SUM(sm.max_active_ms), 0) > 0
THEN (COALESCE(SUM(sm.max_cards), 0) * 60.0) / (COALESCE(SUM(sm.max_active_ms), 0) / 60000.0)
ELSE NULL
END AS cards_per_hour,
CASE
WHEN COALESCE(SUM(t.active_watched_ms), 0) > 0
THEN COALESCE(SUM(t.words_seen), 0) / (COALESCE(SUM(t.active_watched_ms), 0) / 60000.0)
WHEN COALESCE(SUM(sm.max_active_ms), 0) > 0
THEN COALESCE(SUM(sm.max_words), 0) / (COALESCE(SUM(sm.max_active_ms), 0) / 60000.0)
ELSE NULL
END AS words_per_min,
CASE
WHEN COALESCE(SUM(t.lookup_count), 0) > 0
THEN CAST(COALESCE(SUM(t.lookup_hits), 0) AS REAL) / CAST(SUM(t.lookup_count) AS REAL)
WHEN COALESCE(SUM(sm.max_lookups), 0) > 0
THEN CAST(COALESCE(SUM(sm.max_hits), 0) AS REAL) / CAST(SUM(sm.max_lookups) AS REAL)
ELSE NULL
END AS lookup_hit_rate,
? AS CREATED_DATE,
? AS LAST_UPDATE_DATE
FROM imm_sessions s
JOIN imm_session_telemetry t
ON t.session_id = s.session_id
WHERE CAST(s.started_at_ms / 86400000 AS INTEGER) = ? AND s.video_id = ?
JOIN (
SELECT
t.session_id,
MAX(t.active_watched_ms) AS max_active_ms,
MAX(t.lines_seen) AS max_lines,
MAX(t.words_seen) AS max_words,
MAX(t.tokens_seen) AS max_tokens,
MAX(t.cards_mined) AS max_cards,
MAX(t.lookup_count) AS max_lookups,
MAX(t.lookup_hits) AS max_hits
FROM imm_session_telemetry t
GROUP BY t.session_id
) sm ON s.session_id = sm.session_id
WHERE CAST(julianday(s.started_at_ms / 1000, 'unixepoch', 'localtime') - 2440587.5 AS INTEGER) = ? AND s.video_id = ?
GROUP BY rollup_day, s.video_id
ON CONFLICT (rollup_day, video_id) DO UPDATE SET
total_sessions = excluded.total_sessions,
@@ -176,20 +187,29 @@ function upsertMonthlyRollupsForGroups(
total_words_seen, total_tokens_seen, total_cards, CREATED_DATE, LAST_UPDATE_DATE
)
SELECT
CAST(strftime('%Y%m', s.started_at_ms / 1000, 'unixepoch') AS INTEGER) AS rollup_month,
CAST(strftime('%Y%m', s.started_at_ms / 1000, 'unixepoch', 'localtime') AS INTEGER) AS rollup_month,
s.video_id AS video_id,
COUNT(DISTINCT s.session_id) AS total_sessions,
COALESCE(SUM(t.active_watched_ms), 0) / 60000.0 AS total_active_min,
COALESCE(SUM(t.lines_seen), 0) AS total_lines_seen,
COALESCE(SUM(t.words_seen), 0) AS total_words_seen,
COALESCE(SUM(t.tokens_seen), 0) AS total_tokens_seen,
COALESCE(SUM(t.cards_mined), 0) AS total_cards,
COALESCE(SUM(sm.max_active_ms), 0) / 60000.0 AS total_active_min,
COALESCE(SUM(sm.max_lines), 0) AS total_lines_seen,
COALESCE(SUM(sm.max_words), 0) AS total_words_seen,
COALESCE(SUM(sm.max_tokens), 0) AS total_tokens_seen,
COALESCE(SUM(sm.max_cards), 0) AS total_cards,
? AS CREATED_DATE,
? AS LAST_UPDATE_DATE
FROM imm_sessions s
JOIN imm_session_telemetry t
ON t.session_id = s.session_id
WHERE CAST(strftime('%Y%m', s.started_at_ms / 1000, 'unixepoch') AS INTEGER) = ? AND s.video_id = ?
JOIN (
SELECT
t.session_id,
MAX(t.active_watched_ms) AS max_active_ms,
MAX(t.lines_seen) AS max_lines,
MAX(t.words_seen) AS max_words,
MAX(t.tokens_seen) AS max_tokens,
MAX(t.cards_mined) AS max_cards
FROM imm_session_telemetry t
GROUP BY t.session_id
) sm ON s.session_id = sm.session_id
WHERE CAST(strftime('%Y%m', s.started_at_ms / 1000, 'unixepoch', 'localtime') AS INTEGER) = ? AND s.video_id = ?
GROUP BY rollup_month, s.video_id
ON CONFLICT (rollup_month, video_id) DO UPDATE SET
total_sessions = excluded.total_sessions,
@@ -216,8 +236,8 @@ function getAffectedRollupGroups(
.prepare(
`
SELECT DISTINCT
CAST(s.started_at_ms / 86400000 AS INTEGER) AS rollup_day,
CAST(strftime('%Y%m', s.started_at_ms / 1000, 'unixepoch') AS INTEGER) AS rollup_month,
CAST(julianday(s.started_at_ms / 1000, 'unixepoch', 'localtime') - 2440587.5 AS INTEGER) AS rollup_day,
CAST(strftime('%Y%m', s.started_at_ms / 1000, 'unixepoch', 'localtime') AS INTEGER) AS rollup_month,
s.video_id AS video_id
FROM imm_session_telemetry t
JOIN imm_sessions s