Source code for swh.fuse.cache

# Copyright (C) 2020  The Software Heritage developers
# See the AUTHORS file at the top-level directory of this distribution
# License: GNU General Public License version 3, or any later version
# See top-level LICENSE file for more information

from abc import ABC
from collections import OrderedDict
from dataclasses import dataclass, field
from datetime import datetime
import json
import logging
from pathlib import Path
import re
import sqlite3
import sys
from typing import Any, AsyncGenerator, Dict, List, Optional, Tuple

import aiosqlite
import dateutil.parser
from psutil import virtual_memory

from swh.fuse.fs.artifact import RevisionHistoryShardByDate
from swh.fuse.fs.entry import FuseDirEntry, FuseEntry
from swh.fuse.fs.mountpoint import CacheDir, OriginDir
from swh.model.exceptions import ValidationError
from swh.model.swhids import CoreSWHID, ObjectType
from swh.web.client.client import ORIGIN_VISIT, typify_json


[docs] async def db_connect(conf: Dict[str, Any]) -> aiosqlite.Connection: # In-memory (thus temporary) caching is useful for testing purposes if conf.get("in-memory", False): path = "file::memory:?cache=shared" uri = True else: path = conf["path"] Path(path).parent.mkdir(parents=True, exist_ok=True) uri = False return await aiosqlite.connect(path, uri=uri, detect_types=sqlite3.PARSE_DECLTYPES)
[docs] class FuseCache: """SwhFS retrieves both metadata and file contents from the Software Heritage archive via the network. In order to obtain reasonable performances several caches are used to minimize network transfer. Caches are stored on disk in SQLite databases located at `$XDG_CACHE_HOME/swh/fuse/`. All caches are persistent (i.e., they survive the restart of the SwhFS process) and global (i.e., they are shared by concurrent SwhFS processes). We assume that no cache *invalidation* is necessary, due to intrinsic properties of the Software Heritage archive, such as integrity verification and append-only archive changes. To clean the caches one can just remove the corresponding files from disk. """ def __init__(self, cache_conf: Dict[str, Any]): self.cache_conf = cache_conf async def __aenter__(self): self.metadata = await MetadataCache( conf=self.cache_conf["metadata"] ).__aenter__() self.blob = await BlobCache(conf=self.cache_conf["blob"]).__aenter__() # History and raw metadata share the same SQLite db (hence the same connection) self.history = await HistoryCache( conf=self.cache_conf["metadata"], conn=self.metadata.conn ).__aenter__() self.direntry = DirEntryCache(self.cache_conf["direntry"]) return self async def __aexit__(self, type=None, val=None, tb=None) -> None: await self.metadata.__aexit__() await self.blob.__aexit__() await self.history.__aexit__()
[docs] async def get_cached_swhids(self) -> AsyncGenerator[CoreSWHID, None]: """Return a list of all previously cached SWHID""" # Use the metadata db since it should always contain all accessed SWHIDs metadata_cursor = await self.metadata.conn.execute( "select swhid from metadata_cache" ) swhids = await metadata_cursor.fetchall() for raw_swhid in swhids: yield CoreSWHID.from_string(raw_swhid[0])
[docs] async def get_cached_visits(self) -> AsyncGenerator[str, None]: """Return a list of all previously cached visit URL""" cursor = await self.metadata.conn.execute("select url from visits_cache") urls = await cursor.fetchall() for raw_url in urls: yield raw_url[0]
[docs] class AbstractCache(ABC): """Abstract cache implementation to share common behavior between cache types""" DB_SCHEMA: str = "" conf: Dict[str, Any] conn: aiosqlite.Connection def __init__( self, conf: Dict[str, Any], conn: Optional[aiosqlite.Connection] = None ): self.conf = conf self.init_conn = conn async def __aenter__(self): if self.init_conn is None: self.conn = await db_connect(self.conf) else: self.conn = self.init_conn await self.conn.executescript(self.DB_SCHEMA) await self.conn.commit() return self async def __aexit__(self, type=None, val=None, tb=None) -> None: # In case we were given an existing connection, do not close it here if self.init_conn is None: await self.conn.close()
[docs] class MetadataCache(AbstractCache): """The metadata cache map each artifact to the complete metadata of the referenced object. This is analogous to what is available in `archive/<SWHID>.json` file (and generally used as data source for returning the content of those files). Artifacts are identified using their SWHIDs, or in the case of origin visits, using their URLs.""" DB_SCHEMA = """ create table if not exists metadata_cache ( swhid text not null primary key, metadata blob, date text ); create table if not exists visits_cache ( url text not null primary key, metadata blob, itime timestamp -- insertion time ); """
[docs] async def get(self, swhid: CoreSWHID, typify: bool = True) -> Any: cursor = await self.conn.execute( "select metadata from metadata_cache where swhid=?", (str(swhid),) ) cache = await cursor.fetchone() if cache: metadata = json.loads(cache[0]) return ( typify_json(metadata, swhid.object_type.name.lower()) if typify else metadata ) else: return None
[docs] async def get_visits(self, url_encoded: str) -> Optional[List[Dict[str, Any]]]: cursor = await self.conn.execute( "select metadata, itime from visits_cache where url=?", (url_encoded,), ) cache = await cursor.fetchone() if cache: metadata, itime = cache[0], cache[1] # Force-update cache with (potentially) new origin visits diff = datetime.now() - itime if diff.days >= 1: return None visits = json.loads(metadata) visits_typed = [typify_json(v, ORIGIN_VISIT) for v in visits] return visits_typed else: return None
[docs] async def set(self, swhid: CoreSWHID, metadata: Any) -> None: # Fill in the date column for revisions (used as cache for history/by-date/) swhid_date = "" if swhid.object_type == ObjectType.REVISION: date = dateutil.parser.parse(metadata["date"]) swhid_date = RevisionHistoryShardByDate.DATE_FMT.format( year=date.year, month=date.month, day=date.day ) await self.conn.execute( "insert into metadata_cache values (?, ?, ?)", (str(swhid), json.dumps(metadata), swhid_date), ) await self.conn.commit()
[docs] async def set_visits(self, url_encoded: str, visits: List[Dict[str, Any]]) -> None: await self.conn.execute( "insert or replace into visits_cache values (?, ?, ?)", (url_encoded, json.dumps(visits), datetime.now()), ) await self.conn.commit()
[docs] async def remove(self, swhid: CoreSWHID) -> None: await self.conn.execute( "delete from metadata_cache where swhid=?", (str(swhid),), ) await self.conn.commit()
[docs] class BlobCache(AbstractCache): """The blob cache map SWHIDs of type `cnt` to the bytes of their archived content. The blob cache entry for a given content object is populated, at the latest, the first time the object is `read()`-d. It might be populated earlier on due to prefetching, e.g., when a directory pointing to the given content is listed for the first time.""" DB_SCHEMA = """ create table if not exists blob_cache ( swhid text not null primary key, blob blob ); """
[docs] async def get(self, swhid: CoreSWHID) -> Optional[bytes]: cursor = await self.conn.execute( "select blob from blob_cache where swhid=?", (str(swhid),) ) cache = await cursor.fetchone() if cache: blob = cache[0] return blob else: return None
[docs] async def set(self, swhid: CoreSWHID, blob: bytes) -> None: await self.conn.execute( "insert into blob_cache values (?, ?)", (str(swhid), blob) ) await self.conn.commit()
[docs] async def remove(self, swhid: CoreSWHID) -> None: await self.conn.execute( "delete from blob_cache where swhid=?", (str(swhid),), ) await self.conn.commit()
[docs] class HistoryCache(AbstractCache): """The history cache map SWHIDs of type `rev` to a list of `rev` SWHIDs corresponding to all its revision ancestors, sorted in reverse topological order. As the parents cache, the history cache is lazily populated and can be prefetched. To efficiently store the ancestor lists, the history cache represents ancestors as graph edges (a pair of two SWHID nodes), meaning the history cache is shared amongst all revisions parents.""" DB_SCHEMA = """ create table if not exists history_graph ( src text not null, dst text not null, unique(src, dst) ); create index if not exists idx_history on history_graph(src); """ HISTORY_REC_QUERY = """ with recursive dfs(node) AS ( values(?) union select history_graph.dst from history_graph join dfs on history_graph.src = dfs.node ) -- Do not keep the root node since it is not an ancestor select * from dfs limit -1 offset 1 """
[docs] async def get(self, swhid: CoreSWHID) -> Optional[List[CoreSWHID]]: cursor = await self.conn.execute( self.HISTORY_REC_QUERY, (str(swhid),), ) cache = await cursor.fetchall() if not cache: return None history = [] for row in cache: parent = row[0] try: history.append(CoreSWHID.from_string(parent)) except ValidationError: logging.warning("Cannot parse object from history cache: %s", parent) return history
[docs] async def get_with_date_prefix( self, swhid: CoreSWHID, date_prefix: str ) -> List[Tuple[CoreSWHID, str]]: cursor = await self.conn.execute( f""" select swhid, date from ( {self.HISTORY_REC_QUERY} ) as history join metadata_cache on history.node = metadata_cache.swhid where metadata_cache.date like '{date_prefix}%' """, (str(swhid),), ) cache = await cursor.fetchall() if not cache: return [] history = [] for row in cache: parent, date = row[0], row[1] try: history.append((CoreSWHID.from_string(parent), date)) except ValidationError: logging.warning("Cannot parse object from history cache: %s", parent) return history
[docs] async def set(self, history: str) -> None: history = history.strip() if history: edges = [edge.split(" ") for edge in history.split("\n")] await self.conn.executemany( "insert or ignore into history_graph values (?, ?)", edges ) await self.conn.commit()
[docs] class DirEntryCache: """The direntry cache map inode representing directories to the entries they contain. Each entry comes with its name as well as file attributes (i.e., all its needed to perform a detailed directory listing). Additional attributes of each directory entry should be looked up on a entry by entry basis, possibly hitting other caches. The direntry cache for a given dir is populated, at the latest, when the content of the directory is listed. More aggressive prefetching might happen. For instance, when first opening a dir a recursive listing of it can be retrieved from the remote backend and used to recursively populate the direntry cache for all (transitive) sub-directories."""
[docs] @dataclass class LRU(OrderedDict): max_ram: int used_ram: int = field(init=False, default=0)
[docs] def sizeof(self, value: Any) -> int: # Rough size estimate in bytes for a list of entries return len(value) * 1000
def __getitem__(self, key: Any) -> Any: value = super().__getitem__(key) self.move_to_end(key) return value def __delitem__(self, key: Any) -> None: self.used_ram -= self.sizeof(self[key]) super().__delitem__(key) def __setitem__(self, key: Any, value: Any) -> None: if key in self: self.move_to_end(key) else: self.used_ram += self.sizeof(value) super().__setitem__(key, value) while self.used_ram > self.max_ram and self: oldest = next(iter(self)) del self[oldest]
def __init__(self, conf: Dict[str, Any]): m = re.match(r"(\d+)\s*(.+)\s*", conf["maxram"]) if not m: logging.error("Cannot parse direntry maxram config: %s", conf["maxram"]) sys.exit(1) num = float(m.group(1)) unit = m.group(2).upper() if unit == "%": max_ram = int(num * virtual_memory().available / 100) else: units = {"B": 1, "KB": 10**3, "MB": 10**6, "GB": 10**9} max_ram = int(float(num) * units[unit]) self.lru_cache = self.LRU(max_ram)
[docs] def get(self, direntry: FuseDirEntry) -> Optional[List[FuseEntry]]: return self.lru_cache.get(direntry.inode, None)
[docs] def set(self, direntry: FuseDirEntry, entries: List[FuseEntry]) -> None: if isinstance(direntry, (CacheDir, CacheDir.ArtifactShardBySwhid, OriginDir)): # The `cache/` and `origin/` directories are populated on the fly pass else: self.lru_cache[direntry.inode] = entries
[docs] def invalidate(self, direntry: FuseDirEntry) -> None: try: del self.lru_cache[direntry.inode] except KeyError: pass