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a1dd5ba | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 | """elidedb — the command line. One verb per lifecycle step:
elidedb create lake/mydb --name "my dataset"
elidedb add lake/mydb readings data.csv --ts-col time
elidedb video lake/mydb cam.mp4 --stream cam0
elidedb ls lake/mydb
elidedb embed lake/mydb
elidedb search lake/mydb "a person crossing the street"
elidedb sql lake/mydb "SELECT count(*) FROM readings"
elidedb desk
Times print as +SECONDS relative to the store's start; pass the same +N form
back into `window`.
"""
from __future__ import annotations
import argparse
import sys
from .store import Store
def _rel(store, ns):
lo = min((d["min_ts"] for d in store.describe()
if d["rows"] and d["table"] != "centroids"), default=0)
return (ns - lo) / 1e9, lo
def _parse_t(store, s: str) -> int:
if s.startswith("+"):
lo = min((d["min_ts"] for d in store.describe()
if d["rows"] and d["table"] != "centroids"), default=0)
return lo + int(float(s[1:]) * 1e9)
return int(s)
def cmd_create(a):
Store.create(a.store, a.name or a.store.rstrip("/").split("/")[-1])
print(f"created database at {a.store}")
def cmd_ls(a):
db = Store.open(a.store)
print(f"{db.name} ({db.dir})")
rows = db.describe()
if not rows:
print(" (empty — add data with `elidedb add` or `elidedb video`)")
return
w = max(len(r["table"]) for r in rows)
for r in rows:
span = ""
if r["rows"] and r["table"] != "centroids":
lo, base = _rel(db, r["min_ts"])
hi, _ = _rel(db, r["max_ts"])
span = f" [+{lo:.1f} .. +{hi:.1f}]s"
print(f" {r['table']:<{w}} {r['kind']:<12} {r['rows']:>12,} rows "
f"{r['bytes'] / 1e6:9.1f} MB v{r['version']}{span}")
def cmd_add(a):
db = Store.open(a.store)
v = db.ingest_rows(a.table, a.file, ts_column=a.ts_col, ts_unit=a.ts_unit)
st = db.table(a.table).state()
print(f"{a.table}: +{st.files[-1].rows:,} rows -> version {v}")
def cmd_video(a):
db = Store.open(a.store)
ts = None
if a.timestamps:
ts = [int(line) for line in open(a.timestamps)]
v = db.ingest_video(a.table, a.file, timestamps_ns=ts, stream=a.stream,
transcode=a.transcode, gop_s=a.gop_s, crf=a.crf)
print(f"{a.table}: indexed {a.file} as stream "
f"'{a.stream or a.file}' -> version {v}")
def cmd_adopt(a):
db = Store.open(a.store)
for d in db.describe():
if d["kind"] == "frame_index":
r = db.adopt_media(d["table"])
print(f"{d['table']}: adopted {r['adopted']} media files "
f"({r['bytes'] / 1e6:.1f} MB) into {a.store}/media/")
def cmd_vacuum(a):
db = Store.open(a.store)
r = db.vacuum(retain_versions=a.retain, dry_run=a.dry_run)
verb = "would free" if a.dry_run else "freed"
print(f"{r['files_removed']} files, {verb} {r['bytes_freed']/1e6:.1f} MB")
def cmd_index(a):
db = Store.open(a.store)
if a.ann:
from . import ann
r = (ann.build_hnsw(db) if a.ann == "hnsw"
else ann.build_ivfpq(db))
print(f"{a.ann} index: {r['n']:,} vectors, "
f"{r['bytes']/1e6:.1f} MB (embeddings v{r['version']})")
else:
r = db.table(a.table).create_index(a.column)
print(f"B+ index on {a.table}.{a.column}: {r['keys']:,} keys, "
f"{r['bytes']/1e3:.0f} KB (v{r['version']})")
def cmd_optimize(a):
db = Store.open(a.store)
for d in db.describe():
if a.table and d["table"] != a.table:
continue
r = db.table(d["table"]).compact()
if r.get("bytes_before"):
print(f" {d['table']}: {r['files_before']}->{r['files_after']} files, "
f"{r['bytes_before']/1e6:.1f}->{r['bytes_after']/1e6:.1f} MB "
f"({r['ratio']}x)")
def cmd_embed(a):
db = Store.open(a.store)
print(db.embed_windows(window_s=a.window_s,
frames_per_window=a.frames_per_window))
if not a.no_cluster:
from .embeddings import cluster
print(cluster(db, min_cluster_size=a.min_cluster_size))
def cmd_search(a):
db = Store.open(a.store)
hits, stats = db.search_text(a.text, k=a.k)
print(f"scanned {stats['scanned']}/{stats['total']} vectors, "
f"probed {stats['clusters_probed']}/{stats['clusters_total']} clusters")
for h in hits:
lo, _ = _rel(db, h["t0"])
hi, _ = _rel(db, h["t1"])
print(f" {h['score']:.4f} {h['stream']:<24} [+{lo:.2f} .. +{hi:.2f}]s"
f" (elidedb window {a.store} +{lo:.2f} +{hi:.2f})")
def cmd_sql(a):
db = Store.open(a.store)
df = db.sql(a.query)
print(df.to_string(index=False, max_rows=50))
def cmd_window(a):
db = Store.open(a.store)
t0, t1 = _parse_t(db, a.t0), _parse_t(db, a.t1)
w, stats = db.window(t0, t1)
print(stats)
from .video import FrameSet
for name, v in w.items():
if isinstance(v, FrameSet):
print(f" {name}: {len(v)} frames, streams {v.streams()}")
if a.dump:
from PIL import Image
import pathlib
out = pathlib.Path(a.dump)
out.mkdir(parents=True, exist_ok=True)
n = 0
for s in v.streams():
for ts, img in v.decode(stream=s, width=a.width):
lo, _ = _rel(db, ts)
safe = s.replace("/", "_").replace(" ", "_")
Image.fromarray(img).save(out / f"{safe}_{lo:.3f}s.jpg")
n += 1
print(f" wrote {n} frames to {a.dump}")
elif len(v):
print(f" {name}: {len(v):,} rows x {len(v.column_names)} cols")
def cmd_desk(a):
from . import desk
sys.argv = ["elidedb-desk", "--root", a.root, "--port", str(a.port)] + \
(["--open"] if not a.no_open else [])
desk.main()
def main():
ap = argparse.ArgumentParser(
prog="elidedb",
description="ElideDB — Parquet-native, timestamp-first multimodal "
"database. The best read is the read elided.")
sub = ap.add_subparsers(dest="cmd", required=True)
p = sub.add_parser("create", help="create an empty database")
p.add_argument("store")
p.add_argument("--name")
p.set_defaults(f=cmd_create)
p = sub.add_parser("ls", help="list a database's tables")
p.add_argument("store")
p.set_defaults(f=cmd_ls)
p = sub.add_parser("add", help="add timestamped rows (CSV/Parquet)")
p.add_argument("store")
p.add_argument("table")
p.add_argument("file")
p.add_argument("--ts-col", default="ts",
help="timestamp column name (default: ts)")
p.add_argument("--ts-unit", default="auto",
choices=["auto", "s", "ms", "us", "ns"],
help="timestamp unit (default: auto-detect)")
p.set_defaults(f=cmd_add)
p = sub.add_parser("video", help="index a video file (media stays put)")
p.add_argument("store")
p.add_argument("file")
p.add_argument("--table", default="frames")
p.add_argument("--stream", help="stream name (default: file stem)")
p.add_argument("--timestamps",
help="file with one ns timestamp per frame; omitted = "
"container timestamps")
p.add_argument("--transcode", choices=["hevc", "h264"],
help="re-encode the managed copy (~10-25x smaller; "
"random access becomes GOP-granular)")
p.add_argument("--gop-s", type=float, default=1.0,
help="keyframe interval in seconds (the seekability-vs-"
"compression dial)")
p.add_argument("--crf", type=int, default=26)
p.set_defaults(f=cmd_video)
p = sub.add_parser("adopt", help="copy referenced media into the store "
"(makes it standalone)")
p.add_argument("store")
p.set_defaults(f=cmd_adopt)
p = sub.add_parser("optimize", help="compact tables (fewer, larger, "
"delta-encoded files)")
p.add_argument("store")
p.add_argument("--table")
p.set_defaults(f=cmd_optimize)
p = sub.add_parser("vacuum", help="garbage-collect unreachable files "
"(keeps last N versions readable)")
p.add_argument("store")
p.add_argument("--retain", type=int, default=3)
p.add_argument("--dry-run", action="store_true")
p.set_defaults(f=cmd_vacuum)
p = sub.add_parser("index", help="build a B+ tree on a column, or an "
"ANN index (hnsw/ivfpq) on embeddings")
p.add_argument("store")
p.add_argument("--table", default="frames")
p.add_argument("--column", help="numeric column for a B+ secondary index")
p.add_argument("--ann", choices=["hnsw", "ivfpq"],
help="build a vector index over the embeddings table")
p.set_defaults(f=cmd_index)
p = sub.add_parser("embed", help="embed video windows + cluster (local ML)")
p.add_argument("store")
p.add_argument("--window-s", type=float, default=2.0)
p.add_argument("--frames-per-window", type=int, default=2)
p.add_argument("--min-cluster-size", type=int, default=8)
p.add_argument("--no-cluster", action="store_true")
p.set_defaults(f=cmd_embed)
p = sub.add_parser("search", help="semantic text search")
p.add_argument("store")
p.add_argument("text")
p.add_argument("-k", type=int, default=8)
p.set_defaults(f=cmd_search)
p = sub.add_parser("sql", help="run SQL (DuckDB) over the database")
p.add_argument("store")
p.add_argument("query")
p.set_defaults(f=cmd_sql)
p = sub.add_parser("window", help="read a time window (+SECS or raw ns)")
p.add_argument("store")
p.add_argument("t0")
p.add_argument("t1")
p.add_argument("--dump", help="write frames as JPEGs to this directory")
p.add_argument("--width", type=int, default=640)
p.set_defaults(f=cmd_window)
p = sub.add_parser("desk", help="open the browser UI")
p.add_argument("--root", default="lake")
p.add_argument("--port", type=int, default=8787)
p.add_argument("--no-open", action="store_true")
p.set_defaults(f=cmd_desk)
a = ap.parse_args()
try:
a.f(a)
except Exception as e:
print(f"error: {e}", file=sys.stderr)
sys.exit(1)
if __name__ == "__main__":
main()
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