Files
endorphin-tabularium-docs/scripts/documents-client.py
T

197 lines
9.9 KiB
Python

"""Upload documents through the database API; credentials stay in a private file."""
import argparse
import json
import os
from pathlib import Path
import stat
import sys
import time
import urllib.error
import urllib.parse
import urllib.request
import uuid
class DocumentClientError(ValueError):
pass
class NoRedirect(urllib.request.HTTPRedirectHandler):
def redirect_request(self, req, fp, code, msg, headers, newurl):
# Never forward a bearer credential to a redirected host or protocol.
return None
def server_url(value):
parsed = urllib.parse.urlsplit(value)
if (parsed.username or parsed.password or parsed.query or parsed.fragment
or parsed.path not in ('', '/') or not parsed.hostname):
raise ValueError('Provide a server origin without credentials, path, query or fragment')
if parsed.scheme != 'https' and not (
parsed.scheme == 'http' and parsed.hostname in ('localhost', '127.0.0.1', '::1')):
raise ValueError('Use HTTPS or an HTTP loopback connection through a trusted SSH tunnel')
return value.rstrip('/')
def read_token(filename):
path = Path(filename)
if stat.S_IMODE(path.stat().st_mode) & 0o077:
raise ValueError('API key file must be private (chmod 600)')
value = path.read_text().strip()
if value.startswith('{'):
value = json.loads(value)['token']
if not isinstance(value, str) or not value.startswith('tdoc_') or len(value) != 48:
raise ValueError('Invalid document API key file')
return value
def request(base, token, method, path, payload=None, request_id=None):
data = None if payload is None else json.dumps(payload, ensure_ascii=False).encode()
if data is not None and len(data) > 8 * 1024 * 1024:
raise ValueError('Request exceeds 8 MiB; split into smaller atomic batches')
headers = {'Authorization': 'Bearer ' + token, 'Accept': 'application/json'}
if data is not None:
headers['Content-Type'] = 'application/json'
headers['Idempotency-Key'] = request_id
opener = urllib.request.build_opener(NoRedirect())
for attempt in range(2):
req = urllib.request.Request(base + path, data=data, method=method, headers=headers)
try:
with opener.open(req, timeout=30) as response:
return json.load(response)
except urllib.error.HTTPError as error:
if error.code in (502, 503, 504) and attempt == 0:
error.close()
time.sleep(1)
continue
status = error.code
error.close()
explanations = {400: 'Invalid document or pagination', 401: 'Key missing, expired or revoked',
403: 'Read-only key', 404: 'Document or revision not found',
409: 'Revision or request-id conflict; read current state before retrying',
413: 'Request too large', 503: 'Database unavailable'}
raise DocumentClientError(f'HTTP {status}: ' + explanations.get(status, 'Request failed')) from None
except (urllib.error.URLError, TimeoutError):
if attempt == 0:
time.sleep(1)
continue
raise DocumentClientError('Connection failed; retry using the same request id and unchanged input') from None
def document_batches(documents, max_bytes=8 * 1024 * 1024):
if not isinstance(documents, list) or not documents:
raise DocumentClientError('Provide a nonempty documents array')
batches, chunk, size, seen = [], [], 20, set()
for document in documents:
if not isinstance(document, dict) or not isinstance(document.get('sourceSlug'), str):
raise DocumentClientError('Every document needs a sourceSlug')
if document['sourceSlug'] in seen:
raise DocumentClientError('Duplicate sourceSlug in upload')
seen.add(document['sourceSlug'])
encoded = len(json.dumps(document, ensure_ascii=False).encode()) + 2
if encoded + 20 > max_bytes:
raise DocumentClientError('A document exceeds the request limit')
if chunk and (len(chunk) == 100 or size + encoded > max_bytes):
batches.append(chunk)
chunk, size = [], 20
chunk.append(document)
size += encoded
batches.append(chunk)
return batches
def main():
os.umask(0o077)
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument('--url', default=os.environ.get('TABULARIUM_DOCS_URL'))
parser.add_argument('--key-file', default=os.environ.get('TABULARIUM_DOCS_KEY_FILE'))
sub = parser.add_subparsers(dest='command', required=True)
listing = sub.add_parser('list')
listing.add_argument('--limit', type=int, default=50)
listing.add_argument('--offset', type=int, default=0)
reading = sub.add_parser('get')
reading.add_argument('slug')
mode = reading.add_mutually_exclusive_group()
mode.add_argument('--history', action='store_true')
mode.add_argument('--revision', type=int)
reading.add_argument('--limit', type=int, default=50)
reading.add_argument('--offset', type=int, default=0)
sections = sub.add_parser('outline', help='Read chapter titles and internal summaries without bodies')
sections.add_argument('slug')
sections.add_argument('--revision', type=int)
section = sub.add_parser('sections', help='Read selected chapter bodies')
section.add_argument('slug')
section.add_argument('ids', nargs='+')
section.add_argument('--revision', type=int)
editing = sub.add_parser('edit-sections', help='Atomically apply chapter operations from private JSON')
editing.add_argument('slug')
editing.add_argument('file')
editing.add_argument('--request-id')
saving = sub.add_parser('save')
saving.add_argument('file', help='Private JSON file or - for stdin; one document or {documents: [...]}')
saving.add_argument('--request-id', help='Reuse this id only with the same input when retrying')
args = parser.parse_args()
if not args.url or not args.key_file:
parser.error('Set --url and --key-file or TABULARIUM_DOCS_URL and TABULARIUM_DOCS_KEY_FILE')
try:
base = server_url(args.url)
token = read_token(args.key_file)
if args.command == 'list':
result = request(base, token, 'GET', '/api/documents?' + urllib.parse.urlencode(
{'limit': args.limit, 'offset': args.offset}))
elif args.command == 'get':
path = '/api/documents/item/' + urllib.parse.quote(args.slug, safe='/')
if args.history:
path += '?' + urllib.parse.urlencode({'history': 1, 'limit': args.limit, 'offset': args.offset})
elif args.revision is not None:
path += '?' + urllib.parse.urlencode({'revision': args.revision})
result = request(base, token, 'GET', path)
elif args.command in ('outline', 'sections', 'edit-sections'):
path = '/api/documents/sections/' + urllib.parse.quote(args.slug, safe='/')
if args.command == 'edit-sections':
payload = json.load(sys.stdin) if args.file == '-' else json.loads(Path(args.file).read_text())
request_id = args.request_id or str(uuid.uuid4())
if not request_id or len(request_id) > 100 or any(c not in 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789._:-' for c in request_id):
raise ValueError('Invalid request id')
print('Request id: ' + request_id, file=sys.stderr)
result = request(base, token, 'POST', path, payload, request_id)
else:
query = []
if args.revision is not None:
query.append(('revision', args.revision))
if args.command == 'sections':
query.extend(('section', section_id) for section_id in args.ids)
if query:
path += '?' + urllib.parse.urlencode(query)
result = request(base, token, 'GET', path)
else:
payload = json.load(sys.stdin) if args.file == '-' else json.loads(Path(args.file).read_text())
request_id = args.request_id or str(uuid.uuid4())
if not request_id or len(request_id) > 100 or any(c not in 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789._:-' for c in request_id):
raise ValueError('Invalid request id')
print('Request id: ' + request_id, file=sys.stderr)
if isinstance(payload, dict) and 'documents' in payload:
if set(payload) != {'documents'}:
raise DocumentClientError('Batch payload must contain only documents')
chunks = document_batches(payload['documents'])
receipts, replayed = [], 0
for index, chunk in enumerate(chunks, 1):
batch_id = f'{request_id}:{index}'
saved = request(base, token, 'POST', '/api/documents/batch', {'documents': chunk}, batch_id)
receipts.extend(saved['documents'])
replayed += int(saved['replayed'])
print(f'Batch {index}/{len(chunks)} committed; {len(receipts)} documents total; request id: {batch_id}', file=sys.stderr)
result = {'documents': receipts, 'batches': len(chunks), 'replayedBatches': replayed, 'requestId': request_id}
else:
result = request(base, token, 'POST', '/api/documents', payload, request_id)
print(json.dumps(result, ensure_ascii=False, indent=2))
except DocumentClientError as error:
raise SystemExit(str(error)) from None
except (ValueError, OSError, KeyError, TypeError):
# Never print exception objects that could contain credentials or document data.
raise SystemExit('Document request failed. Check the URL, private key file, JSON schema and server response; credentials omitted.') from None
if __name__ == '__main__':
main()