File size: 7,226 Bytes
0ae355f | 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 | import os
import uuid
import sqlalchemy
from typing import Iterable
from sqlalchemy.orm import Session
from sqlalchemy.dialects import sqlite
from app.assets.helpers import utcnow
from app.assets.database.models import Asset, AssetCacheState, AssetInfo, AssetInfoTag, AssetInfoMeta
MAX_BIND_PARAMS = 800
def _chunk_rows(rows: list[dict], cols_per_row: int, max_bind_params: int) -> Iterable[list[dict]]:
if not rows:
return []
rows_per_stmt = max(1, max_bind_params // max(1, cols_per_row))
for i in range(0, len(rows), rows_per_stmt):
yield rows[i:i + rows_per_stmt]
def _iter_chunks(seq, n: int):
for i in range(0, len(seq), n):
yield seq[i:i + n]
def _rows_per_stmt(cols: int) -> int:
return max(1, MAX_BIND_PARAMS // max(1, cols))
def seed_from_paths_batch(
session: Session,
*,
specs: list[dict],
owner_id: str = "",
) -> dict:
"""Each spec is a dict with keys:
- abs_path: str
- size_bytes: int
- mtime_ns: int
- info_name: str
- tags: list[str]
- fname: Optional[str]
"""
if not specs:
return {"inserted_infos": 0, "won_states": 0, "lost_states": 0}
now = utcnow()
asset_rows: list[dict] = []
state_rows: list[dict] = []
path_to_asset: dict[str, str] = {}
asset_to_info: dict[str, dict] = {} # asset_id -> prepared info row
path_list: list[str] = []
for sp in specs:
ap = os.path.abspath(sp["abs_path"])
aid = str(uuid.uuid4())
iid = str(uuid.uuid4())
path_list.append(ap)
path_to_asset[ap] = aid
asset_rows.append(
{
"id": aid,
"hash": None,
"size_bytes": sp["size_bytes"],
"mime_type": None,
"created_at": now,
}
)
state_rows.append(
{
"asset_id": aid,
"file_path": ap,
"mtime_ns": sp["mtime_ns"],
}
)
asset_to_info[aid] = {
"id": iid,
"owner_id": owner_id,
"name": sp["info_name"],
"asset_id": aid,
"preview_id": None,
"user_metadata": {"filename": sp["fname"]} if sp["fname"] else None,
"created_at": now,
"updated_at": now,
"last_access_time": now,
"_tags": sp["tags"],
"_filename": sp["fname"],
}
# insert all seed Assets (hash=NULL)
ins_asset = sqlite.insert(Asset)
for chunk in _iter_chunks(asset_rows, _rows_per_stmt(5)):
session.execute(ins_asset, chunk)
# try to claim AssetCacheState (file_path)
# Insert with ON CONFLICT DO NOTHING, then query to find which paths were actually inserted
ins_state = (
sqlite.insert(AssetCacheState)
.on_conflict_do_nothing(index_elements=[AssetCacheState.file_path])
)
for chunk in _iter_chunks(state_rows, _rows_per_stmt(3)):
session.execute(ins_state, chunk)
# Query to find which of our paths won (were actually inserted)
winners_by_path: set[str] = set()
for chunk in _iter_chunks(path_list, MAX_BIND_PARAMS):
result = session.execute(
sqlalchemy.select(AssetCacheState.file_path)
.where(AssetCacheState.file_path.in_(chunk))
.where(AssetCacheState.asset_id.in_([path_to_asset[p] for p in chunk]))
)
winners_by_path.update(result.scalars().all())
all_paths_set = set(path_list)
losers_by_path = all_paths_set - winners_by_path
lost_assets = [path_to_asset[p] for p in losers_by_path]
if lost_assets: # losers get their Asset removed
for id_chunk in _iter_chunks(lost_assets, MAX_BIND_PARAMS):
session.execute(sqlalchemy.delete(Asset).where(Asset.id.in_(id_chunk)))
if not winners_by_path:
return {"inserted_infos": 0, "won_states": 0, "lost_states": len(losers_by_path)}
# insert AssetInfo only for winners
# Insert with ON CONFLICT DO NOTHING, then query to find which were actually inserted
winner_info_rows = [asset_to_info[path_to_asset[p]] for p in winners_by_path]
ins_info = (
sqlite.insert(AssetInfo)
.on_conflict_do_nothing(index_elements=[AssetInfo.asset_id, AssetInfo.owner_id, AssetInfo.name])
)
for chunk in _iter_chunks(winner_info_rows, _rows_per_stmt(9)):
session.execute(ins_info, chunk)
# Query to find which info rows were actually inserted (by matching our generated IDs)
all_info_ids = [row["id"] for row in winner_info_rows]
inserted_info_ids: set[str] = set()
for chunk in _iter_chunks(all_info_ids, MAX_BIND_PARAMS):
result = session.execute(
sqlalchemy.select(AssetInfo.id).where(AssetInfo.id.in_(chunk))
)
inserted_info_ids.update(result.scalars().all())
# build and insert tag + meta rows for the AssetInfo
tag_rows: list[dict] = []
meta_rows: list[dict] = []
if inserted_info_ids:
for row in winner_info_rows:
iid = row["id"]
if iid not in inserted_info_ids:
continue
for t in row["_tags"]:
tag_rows.append({
"asset_info_id": iid,
"tag_name": t,
"origin": "automatic",
"added_at": now,
})
if row["_filename"]:
meta_rows.append(
{
"asset_info_id": iid,
"key": "filename",
"ordinal": 0,
"val_str": row["_filename"],
"val_num": None,
"val_bool": None,
"val_json": None,
}
)
bulk_insert_tags_and_meta(session, tag_rows=tag_rows, meta_rows=meta_rows, max_bind_params=MAX_BIND_PARAMS)
return {
"inserted_infos": len(inserted_info_ids),
"won_states": len(winners_by_path),
"lost_states": len(losers_by_path),
}
def bulk_insert_tags_and_meta(
session: Session,
*,
tag_rows: list[dict],
meta_rows: list[dict],
max_bind_params: int,
) -> None:
"""Batch insert into asset_info_tags and asset_info_meta with ON CONFLICT DO NOTHING.
- tag_rows keys: asset_info_id, tag_name, origin, added_at
- meta_rows keys: asset_info_id, key, ordinal, val_str, val_num, val_bool, val_json
"""
if tag_rows:
ins_links = (
sqlite.insert(AssetInfoTag)
.on_conflict_do_nothing(index_elements=[AssetInfoTag.asset_info_id, AssetInfoTag.tag_name])
)
for chunk in _chunk_rows(tag_rows, cols_per_row=4, max_bind_params=max_bind_params):
session.execute(ins_links, chunk)
if meta_rows:
ins_meta = (
sqlite.insert(AssetInfoMeta)
.on_conflict_do_nothing(
index_elements=[AssetInfoMeta.asset_info_id, AssetInfoMeta.key, AssetInfoMeta.ordinal]
)
)
for chunk in _chunk_rows(meta_rows, cols_per_row=7, max_bind_params=max_bind_params):
session.execute(ins_meta, chunk)
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