mirror of
https://github.com/ArchiveBox/ArchiveBox
synced 2024-11-25 13:40:20 +00:00
163 lines
5.4 KiB
Python
163 lines
5.4 KiB
Python
__package__ = 'archivebox.index'
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import os
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import sys
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import json as pyjson
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from pathlib import Path
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from datetime import datetime, timezone
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from typing import List, Optional, Iterator, Any, Union
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import abx
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from archivebox.config import VERSION, DATA_DIR, CONSTANTS
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from archivebox.config.common import SERVER_CONFIG, SHELL_CONFIG
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from .schema import Link
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from archivebox.misc.system import atomic_write
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from archivebox.misc.util import enforce_types
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@enforce_types
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def generate_json_index_from_links(links: List[Link], with_headers: bool):
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MAIN_INDEX_HEADER = {
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'info': 'This is an index of site data archived by ArchiveBox: The self-hosted web archive.',
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'schema': 'archivebox.index.json',
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'copyright_info': SERVER_CONFIG.FOOTER_INFO,
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'meta': {
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'project': 'ArchiveBox',
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'version': VERSION,
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'git_sha': VERSION, # not used anymore, but kept for backwards compatibility
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'website': 'https://ArchiveBox.io',
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'docs': 'https://github.com/ArchiveBox/ArchiveBox/wiki',
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'source': 'https://github.com/ArchiveBox/ArchiveBox',
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'issues': 'https://github.com/ArchiveBox/ArchiveBox/issues',
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'dependencies': dict(abx.pm.hook.get_BINARIES()),
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},
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}
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if with_headers:
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output = {
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**MAIN_INDEX_HEADER,
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'num_links': len(links),
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'updated': datetime.now(timezone.utc),
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'last_run_cmd': sys.argv,
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'links': links,
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}
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else:
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output = links
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return to_json(output, indent=4, sort_keys=True)
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@enforce_types
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def parse_json_main_index(out_dir: Path=DATA_DIR) -> Iterator[Link]:
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"""parse an archive index json file and return the list of links"""
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index_path = Path(out_dir) / CONSTANTS.JSON_INDEX_FILENAME
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if index_path.exists():
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with open(index_path, 'r', encoding='utf-8') as f:
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try:
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links = pyjson.load(f)['links']
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if links:
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Link.from_json(links[0])
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except Exception as err:
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print(" {lightyellow}! Found an index.json in the project root but couldn't load links from it: {} {}".format(
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err.__class__.__name__,
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err,
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**SHELL_CONFIG.ANSI,
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))
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return ()
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for link_json in links:
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try:
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yield Link.from_json(link_json)
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except KeyError:
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try:
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detail_index_path = CONSTANTS.ARCHIVE_DIR / link_json['timestamp']
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yield parse_json_link_details(str(detail_index_path))
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except KeyError:
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# as a last effort, try to guess the missing values out of existing ones
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try:
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yield Link.from_json(link_json, guess=True)
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except KeyError:
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# print(" {lightyellow}! Failed to load the index.json from {}".format(detail_index_path, **ANSI))
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continue
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return ()
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### Link Details Index
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@enforce_types
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def write_json_link_details(link: Link, out_dir: Optional[str]=None) -> None:
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"""write a json file with some info about the link"""
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out_dir = out_dir or link.link_dir
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path = Path(out_dir) / CONSTANTS.JSON_INDEX_FILENAME
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atomic_write(str(path), link._asdict(extended=True))
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@enforce_types
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def parse_json_link_details(out_dir: Union[Path, str], guess: bool=False) -> Optional[Link]:
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"""load the json link index from a given directory"""
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existing_index = Path(out_dir) / CONSTANTS.JSON_INDEX_FILENAME
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if os.access(existing_index, os.F_OK):
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with open(existing_index, 'r', encoding='utf-8') as f:
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try:
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link_json = pyjson.load(f)
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return Link.from_json(link_json, guess)
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except pyjson.JSONDecodeError:
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pass
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return None
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@enforce_types
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def parse_json_links_details(out_dir: Union[Path, str]) -> Iterator[Link]:
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"""read through all the archive data folders and return the parsed links"""
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for entry in os.scandir(CONSTANTS.ARCHIVE_DIR):
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if entry.is_dir(follow_symlinks=True):
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if os.access((Path(entry.path) / 'index.json'), os.F_OK):
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try:
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link = parse_json_link_details(entry.path)
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except KeyError:
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link = None
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if link:
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yield link
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### Helpers
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class ExtendedEncoder(pyjson.JSONEncoder):
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"""
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Extended json serializer that supports serializing several model
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fields and objects
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"""
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def default(self, obj):
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cls_name = obj.__class__.__name__
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if hasattr(obj, '_asdict'):
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return obj._asdict()
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elif isinstance(obj, bytes):
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return obj.decode()
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elif isinstance(obj, datetime):
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return obj.isoformat()
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elif isinstance(obj, Exception):
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return '{}: {}'.format(obj.__class__.__name__, obj)
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elif cls_name in ('dict_items', 'dict_keys', 'dict_values'):
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return tuple(obj)
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return pyjson.JSONEncoder.default(self, obj)
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@enforce_types
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def to_json(obj: Any, indent: Optional[int]=4, sort_keys: bool=True, cls=ExtendedEncoder) -> str:
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return pyjson.dumps(obj, indent=indent, sort_keys=sort_keys, cls=ExtendedEncoder)
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