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Single source of truth for every processed item's outcome. Populated by
ingest.py tailing the compression service's compression_outcomes.jsonl
(see miner/compression/app.py:_log_compression_outcome) -- the CMS never
talks to the compression service directly, it only reads what it already
logs.
"""
from __future__ import annotations
import sqlite3
from contextlib import contextmanager
from pathlib import Path
from scoring import compression_score
DB_PATH = Path("/root/vidaio-cms/cms.db")
SCHEMA = """
CREATE TABLE IF NOT EXISTS items (
task_id TEXT PRIMARY KEY,
ts TEXT NOT NULL,
codec TEXT,
codec_mode TEXT,
vmaf_threshold REAL,
target_bitrate REAL,
compression_type TEXT,
cq INTEGER,
vmaf REAL,
original_size INTEGER,
compressed_size INTEGER,
ratio REAL,
score REAL,
elapsed_seconds REAL,
searched INTEGER,
has_reference_sample INTEGER DEFAULT 0,
has_compressed_sample INTEGER DEFAULT 0
);
CREATE INDEX IF NOT EXISTS idx_items_ts ON items(ts);
CREATE INDEX IF NOT EXISTS idx_items_codec_thr ON items(codec, vmaf_threshold);
CREATE TABLE IF NOT EXISTS ingest_state (
source TEXT PRIMARY KEY,
byte_offset INTEGER NOT NULL DEFAULT 0
);
CREATE TABLE IF NOT EXISTS alerts (
id INTEGER PRIMARY KEY AUTOINCREMENT,
ts TEXT NOT NULL,
kind TEXT NOT NULL,
severity TEXT NOT NULL,
message TEXT NOT NULL,
dedupe_key TEXT
);
CREATE INDEX IF NOT EXISTS idx_alerts_ts ON alerts(ts);
CREATE UNIQUE INDEX IF NOT EXISTS idx_alerts_dedupe ON alerts(dedupe_key);
CREATE TABLE IF NOT EXISTS calibration_runs (
id INTEGER PRIMARY KEY AUTOINCREMENT,
started_at TEXT NOT NULL,
finished_at TEXT,
codec TEXT NOT NULL,
vmaf_threshold REAL NOT NULL,
cq_grid TEXT NOT NULL,
limit_clips INTEGER NOT NULL,
status TEXT NOT NULL DEFAULT 'running',
pid INTEGER,
log_tail TEXT
);
"""
@contextmanager
def connect():
DB_PATH.parent.mkdir(parents=True, exist_ok=True)
conn = sqlite3.connect(DB_PATH)
conn.row_factory = sqlite3.Row
try:
yield conn
conn.commit()
finally:
conn.close()
def init_db() -> None:
with connect() as conn:
conn.executescript(SCHEMA)
# CREATE TABLE IF NOT EXISTS doesn't alter an already-existing table,
# so columns added after the first deploy need an explicit
# migration -- idempotent via the duplicate-column error, not a
# tracked migration system, since this schema is still young enough
# that isn't worth the overhead yet.
existing_cols = {row["name"] for row in conn.execute("PRAGMA table_info(items)")}
if "score" not in existing_cols:
conn.execute("ALTER TABLE items ADD COLUMN score REAL")
def get_ingest_offset(source: str) -> int:
with connect() as conn:
row = conn.execute(
"SELECT byte_offset FROM ingest_state WHERE source = ?", (source,)
).fetchone()
return row["byte_offset"] if row else 0
def set_ingest_offset(source: str, offset: int) -> None:
with connect() as conn:
conn.execute(
"INSERT INTO ingest_state (source, byte_offset) VALUES (?, ?) "
"ON CONFLICT(source) DO UPDATE SET byte_offset = excluded.byte_offset",
(source, offset),
)
def upsert_item(record: dict, has_reference: bool, has_compressed: bool) -> None:
score = compression_score(record.get("ratio"), record.get("vmaf"), record.get("vmaf_threshold"))
with connect() as conn:
conn.execute(
"""
INSERT INTO items (
task_id, ts, codec, codec_mode, vmaf_threshold, target_bitrate,
compression_type, cq, vmaf, original_size, compressed_size, ratio, score,
elapsed_seconds, searched, has_reference_sample, has_compressed_sample
) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
ON CONFLICT(task_id) DO UPDATE SET
ts=excluded.ts, codec=excluded.codec, codec_mode=excluded.codec_mode,
vmaf_threshold=excluded.vmaf_threshold, target_bitrate=excluded.target_bitrate,
compression_type=excluded.compression_type, cq=excluded.cq, vmaf=excluded.vmaf,
original_size=excluded.original_size, compressed_size=excluded.compressed_size,
ratio=excluded.ratio, score=excluded.score, elapsed_seconds=excluded.elapsed_seconds,
searched=excluded.searched,
has_reference_sample=excluded.has_reference_sample,
has_compressed_sample=excluded.has_compressed_sample
""",
(
record["task_id"], record["ts"], record.get("codec"),
record.get("codec_mode"), record.get("vmaf_threshold"),
record.get("target_bitrate"), record.get("compression_type"),
record.get("cq"), record.get("vmaf"), record.get("original_size"),
record.get("compressed_size"), record.get("ratio"), score,
record.get("elapsed_seconds"), int(bool(record.get("searched"))),
int(has_reference), int(has_compressed),
),
)
_SORT_COLUMNS = {"ts", "score", "vmaf", "ratio", "cq", "elapsed_seconds"}
def list_items(
codec: str | None = None,
vmaf_threshold: float | None = None,
limit: int = 100,
offset: int = 0,
sort: str = "ts",
order: str = "desc",
) -> list[dict]:
sort_col = sort if sort in _SORT_COLUMNS else "ts"
order_sql = "ASC" if order.lower() == "asc" else "DESC"
query = "SELECT * FROM items WHERE 1=1"
params: list = []
if codec:
query += " AND codec = ?"
params.append(codec)
if vmaf_threshold is not None:
query += " AND vmaf_threshold = ?"
params.append(vmaf_threshold)
query += f" ORDER BY {sort_col} {order_sql} LIMIT ? OFFSET ?"
params.extend([limit, offset])
with connect() as conn:
return [dict(r) for r in conn.execute(query, params).fetchall()]
def get_item(task_id: str) -> dict | None:
with connect() as conn:
row = conn.execute("SELECT * FROM items WHERE task_id = ?", (task_id,)).fetchone()
return dict(row) if row else None
def distinct_categories() -> list[dict]:
with connect() as conn:
rows = conn.execute(
"SELECT DISTINCT codec, vmaf_threshold FROM items ORDER BY codec, vmaf_threshold"
).fetchall()
return [dict(r) for r in rows]
def stats_summary() -> dict:
with connect() as conn:
total = conn.execute("SELECT COUNT(*) c FROM items").fetchone()["c"]
by_category = conn.execute(
"""
SELECT codec, vmaf_threshold, COUNT(*) n,
AVG(vmaf) avg_vmaf, AVG(ratio) avg_ratio, AVG(score) avg_score,
MIN(ts) oldest, MAX(ts) newest
FROM items GROUP BY codec, vmaf_threshold ORDER BY codec, vmaf_threshold
"""
).fetchall()
return {
"total_items": total,
"by_category": [dict(r) for r in by_category],
}
def score_trend(days: int = 14) -> list[dict]:
"""Daily mean/median-ish (avg + min) score, most recent `days` days."""
with connect() as conn:
rows = conn.execute(
"""
SELECT substr(ts, 1, 10) as day, COUNT(*) n,
AVG(score) avg_score, MIN(score) min_score, MAX(score) max_score
FROM items
WHERE score IS NOT NULL
GROUP BY day
ORDER BY day DESC
LIMIT ?
""",
(days,),
).fetchall()
return list(reversed([dict(r) for r in rows]))
def rate_distortion_points(limit: int = 500) -> list[dict]:
with connect() as conn:
rows = conn.execute(
"""
SELECT task_id, codec, vmaf_threshold, vmaf, ratio, score
FROM items
WHERE vmaf IS NOT NULL AND ratio IS NOT NULL
ORDER BY ts DESC LIMIT ?
""",
(limit,),
).fetchall()
return [dict(r) for r in rows]
# --- Alerts ---------------------------------------------------------------
def add_alert(kind: str, severity: str, message: str, dedupe_key: str, ts: str) -> None:
"""dedupe_key makes repeated identical conditions (e.g. the same stalled
restart count) collapse to one row instead of spamming -- INSERT OR
IGNORE against the unique index on dedupe_key.
"""
with connect() as conn:
conn.execute(
"INSERT OR IGNORE INTO alerts (ts, kind, severity, message, dedupe_key) VALUES (?, ?, ?, ?, ?)",
(ts, kind, severity, message, dedupe_key),
)
def recent_alerts(limit: int = 50) -> list[dict]:
with connect() as conn:
rows = conn.execute(
"SELECT * FROM alerts ORDER BY ts DESC LIMIT ?", (limit,)
).fetchall()
return [dict(r) for r in rows]
# --- Calibration runs -------------------------------------------------------
def start_calibration_run(codec: str, vmaf_threshold: float, cq_grid: str, limit_clips: int, pid: int, started_at: str) -> int:
with connect() as conn:
cur = conn.execute(
"""
INSERT INTO calibration_runs (started_at, codec, vmaf_threshold, cq_grid, limit_clips, status, pid)
VALUES (?, ?, ?, ?, ?, 'running', ?)
""",
(started_at, codec, vmaf_threshold, cq_grid, limit_clips, pid),
)
return cur.lastrowid
def update_calibration_run(run_id: int, status: str, log_tail: str, finished_at: str | None = None) -> None:
with connect() as conn:
conn.execute(
"UPDATE calibration_runs SET status=?, log_tail=?, finished_at=COALESCE(?, finished_at) WHERE id=?",
(status, log_tail, finished_at, run_id),
)
def list_calibration_runs(limit: int = 20) -> list[dict]:
with connect() as conn:
rows = conn.execute(
"SELECT * FROM calibration_runs ORDER BY started_at DESC LIMIT ?", (limit,)
).fetchall()
return [dict(r) for r in rows]
def get_calibration_run(run_id: int) -> dict | None:
with connect() as conn:
row = conn.execute("SELECT * FROM calibration_runs WHERE id = ?", (run_id,)).fetchone()
return dict(row) if row else None
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