PK!p00cranial/.fetcher.py.swpb0VIM 8.0%:[Hy parallelslinuxmint-vm/media/psf/Home/workspace/.cranial-venv/src/cranial-datastore/cranial/fetcher.pyutf-8 3210#"! Utpad gMIoL/. v yield i yield record for record in self.parser(self.connector): def generator(self): return self.generator() def __iter__(self): self.parser = parser self.connector = connector def __init__(self, connector: Connector, parser: base.Parser=line.Parser) -> None:class Fetcher(): passclass Parser():from cranial.parsers import base, linefrom cranial.connectors.base import Connector"""systems, via a generator.standard way to retrieve data records as Dictionaries from arbitrary storageA Fetcher is a the combination of a Connector and a Parser, providing a"""PK!(88cranial/__init__.py__import__('pkg_resources').declare_namespace(__name__) PK!@@cranial/connectors/.base.py.swpb0VIM 8.0_C[y parallelslinuxmint-vm/media/psf/Home/workspace/.cranial-venv/src/cranial-datastore/cranial/connectors/base.pyutf-8 U3210#"! Utp1Pad]= 1c%$cDC ~ [   W C B s L $  [ 7  c = ! +  e * ) POxlV@&yx_CB- {N(yS;:y32m  return '\t'.join(ss) ss.append("{} = {}".format(attr, getattr(self, attr))[:100]) if (not attr.startswith("_")) and (not hasattr(getattr(self, attr), '__call__')): for attr in dir(self): ss = [str(self.__class__).split("'")[1]] def __str__(self): return self.doMultiple(self.putFuture, d, blocking, **kwargs) def putMultiple(self, d: dict, blocking=True, **kwargs): return self.doMultiple(self.getFuture, d, blocking, **kwargs) def getMultiple(self, d: dict, blocking=True, **kwargs): return response done.add(key) response[key] = False except futures.CancelledError: pass except futures.TimeoutError: done.add(key) response[key] = data data = response[key].result(1) try: if not (key in done): for key in d: while len(done) < len(d): done = set() return response if not blocking: response[key] = fn(*args, **kwargs) args = [args] if type(args) is not list: # Gracefully accept single arguments as-is. args = d[key] for key in d: response = {} """ Returns dict of Futures if 'blocking' is set False. Otherwise IOStreams. """Takes a dict of keys to argument to pass to fn. def doMultiple(self, fn: callable, d: dict, blocking=True, **kwargs): return self.doFuture(self.put, *args, **kwargs) def putFuture(self, *args, **kwargs) -> Future: return self.doFuture(self.get, *args, **kwargs) def getFuture(self, *args, done.add(key) results[key] = False except futures.CancelledError: pass except futures.TimeoutError: done.add(key) yield l for l in line.Parser(data): data = results[key].result(1) try: if not (key in done): for key in results: while len(done) < len(results): done = set() # type: Set[str] results = self.getMultiple(zip(targets, targets)) #getMultiple on all items, start returning whatever item arrives first. # @ToDo def generate_from_list(self, targets: Iterable): yield l for l in line.Parser(future_item.result()): def generate(self, future_item: Future) -> Generator: return self.generate(f) f = self.getFuture(target) else: return self.generate_from_list(target.values()) elif type(target) == dict: return self.generate_from_list(target) if isinstance: """Get one or more IOstreams and iterate over them yielding lines.""" def iterator(self, target: Any) -> iter: self.do_read = do_read self.binary = binary self.base_address = base_address def __init__(self, base_address='', binary=True, do_read=False):class Connector():from cranial.parsers import linefrom typing import Any, Generator, Iterable, List, Set, Unionfrom tempfile import mkstempimport osimport iofrom concurrent.futures import Future, ThreadPoolExecutorfrom concurrent import futuresimport Collectionsad1P{WIqpD" a ` H " ^ ] ) 6 k 3 r P 6  m<-a`IN1,7 return '\t'.join return '\t'. return '\t'.join(ss) ss.append("{} = {}".format(attr, getattr(self, attr))[:100]) if (not attr.startswith("_")) and (not hasattr(getattr(self, attr), '__call__')): for attr in dir(self): ss = [str(self.__class__).split("'")[1]] def __str__(self): return self._doMultiple(self.putFuture, d, blocking, **kwargs) def putMultiple(self, d: dict, blocking=True, **kwargs): return self._doMultiple(self.getFuture, d, blocking, **kwargs) def getMultiple(self, d: Iterator[Tuple(Any, Any)], blocking=True, **kwargs): return response done.add(key) response[key] = False except futures.CancelledError: pass except futures.TimeoutError: done.add(key) response[key] = data data = response[key].result(1) try: if not (key in done): for key in d: while len(done) < len(d): done = set() return response if not blocking: response[key] = fn(*args, **kwargs) args = [args] if type(args) is not list: # Gracefully accept single arguments as-is. for key, args in d: response = {} """ Returns dict of Futures if 'blocking' is set False. Otherwise IOStreams. """Takes a dict of keys to argument to pass to fn. def _doMultiple(self, fn: callable, d: dict, blocking=True, **kwargs): return self._doFuture(self.put, *args, **kwargs) def putFuture(self, *args, **kwargs) -> Future: return self._doFuture(self.get, *args, **kwargs) def getFuture(self, *args, **kwargs) -> Future: return self.executor().submit(fn, *args, **kwargs) def _doFuture(self, fn: callable, *args, **kwargs) -> Future: return self.pool self.pool = ThreadPoolExecutor() if not hasattr(self, 'pool'): def executor(self): raise Exception('Not Implemented') """Return True if successful.""" def put(self, stream: io.BytesIO, name: str = None) -> bool: raise Exception('Not Implemented') """Return an IOstream.""" def get(self, name=None) -> io.BytesIO: return fd, local_path os.close(fd) fd, local_path = mkstemp() def get_tmp_file(self): type(data))) raise Exception('Not implemented for data type: {}'.format( else: return io.BytesIO(data) elif type(data) is bytes: return io.StringIO(data) if type(data) is str: def toStream(self, data):PK!X@ 'cranial/datastore/adapters/cassandra.pyfrom cassandra.encoder import Encoder from cranial.common import logger log = logger.get() class Adapter(): def __init__(self, session): self.session = session self.res = None # Use Cassandra Encoder to prevent SQL Injection self.encoder = Encoder() def sanitize(self, q, params): """ Basic prevention against SQL Injection. >>> adapter = CassandraAdapter(None) >>> adapter.sanitize('SQL {}', ["injection'; DROP DATABASE;--"]) "SQL 'injection''; DROP DATABASE;--'" """ sanitized = map(self.encoder.cql_encode_all_types, params) return q.replace('?', '{}').format(*list(sanitized)) def execute(self, q, params=None, executor=None): if executor is None: executor = self.session.execute try: if type(q) is str and params is not None and len(params): q = self.sanitize(q, params) self.res = executor(q) else: self.res = executor(q, params) except Exception as e: log.error('Exception {} on {}; {}'.format(e, q, str(params))) raise e self.rowcount = len(self.res.current_rows) if hasattr(self.res, 'current_rows') else None columns = getattr(self.res, 'column_names', []) self.description = [[c] for c in columns] if columns is not None else [] return self.res def execute_async(self, q, params=None): return self.execute(q, params, executor=self.session.execute_async) def get_async(self): # Block for Async results... if hasattr(self.res, 'result'): self.res = self.res.result() self.rowcount = len(self.res.current_rows) columns = getattr(self.res, 'column_names', []) self.description = [[c] for c in columns] if columns is not None else [] def fetchone(self): self.get_async() if self.rowcount: return self.res[0] else: # @ToDo This seems to assume KeyValueDB. We should generalize. raise KeyError('Key not found.') def fetchall(self): self.get_async() return self.res def __getattr__(self, name): """ Proxy anything else to the session object, for cases where DBAPI2 compatible things already exist.""" return getattr(self.session, name) # Alias CassandraAdapter = Adapter PK!yҘ<<"cranial/datastore/adapters/psql.py''' Helpers for postgres/redshift. ''' from select import select from typing import Dict, List, Optional # noqa import psycopg2 from psycopg2.extensions import POLL_OK, POLL_READ, POLL_WRITE from cranial.common import logger log = logger.get() default_config = { 'keepalives': '1', 'keepalives_idle': '6', 'keepalives_interval': '20', 'keepalives_count': '1'} # type: Dict[str, Optional[str]] def wait_select_inter(conn): """ cancel query by crtl-c http://initd.org/psycopg/articles/2014/07/20/cancelling-postgresql-statements-python/ """ while 1: try: state = conn.poll() if state == POLL_OK: break elif state == POLL_READ: select([conn.fileno()], [], []) elif state == POLL_WRITE: select([], [conn.fileno()], []) else: raise conn.OperationalError( "bad state from poll: %s" % state) except KeyboardInterrupt: conn.cancel() # the loop will be broken by a server error continue psycopg2.extensions.set_wait_callback(wait_select_inter) credentials = None # type: Optional[List] def _split_parts(parts: List[str]) -> Dict[str, Optional[str]]: c = default_config.copy() c['host'], c['port'], c['dbname'], c['user'], c['password'] = parts for key, value in c.items(): if value == '*': c[key] = None else: c[key] = value return c def get_credentials(pgpass='~/.pgpass', append=False): global credentials if credentials is None or append: credentials = credentials or [] with open(pgpass) as f: for line in f.readlines(): line = line.strip('\n') parts = line.split(":") connect_params = _split_parts(parts) credentials.append(connect_params) return credentials def get_cursor(host: str = None, user: str = None, credentials_file='~/.pgpass'): c = next(filter(lambda x: x['host'] == host and x['user'] == user, get_credentials(credentials_file))) if not c: raise Exception('No such credentials available.') # build connection string conn_str = ' '.join(["{}='{}'".format(k, v) for k, v in c.items()]) # connect conn = psycopg2.connect(conn_str) conn.autocommit = True return conn.cursor() def query(q: str, credentials_file='.pgpass'): ''' Execute a query in redshift Parameters ---------- q : str psql query string Returns ------- query results ''' with get_cursor(credentials_file=credentials_file) as cur: # execute cur.execute(q) # fetch results try: res = cur.fetchall() # get result column names cols = [c.name for c in cur.description] except Exception as e: log.warn("Could not fetch results for query: " + q) raise e return (res, cols) class SingleCursorDatabaseConnector(object): """ Wraps the psycopg2 connection and cursor functions to reconnect on close. SingleCursorDatabaseConnector maintains a single cursor to a psycopg2 database connection. Lazy initialization is used, so all connection and cursor management happens on the method calls. """ def __init__(self, database, host, port, user, password, autocommit=True): """ Lazy constructor for the class. Parameters ---------- database : str The name of the database to connect to host : str Host name of the server the database is running on port : int Port the database is running on user : str Username to connect as password : str Password for the connection autocommit : bool If True, then no transaction is left open. All commands have immediate effect. """ self.database = database self.host = host self.port = port self.user = user self.password = password self.autocommit = autocommit self._cursor = None self._connection = None def _connect(self): self._connection = psycopg2.connect(database=self.database, host=self.host, port=self.port, user=self.user, password=self.password) self._connection.autocommit = self.autocommit return self._connection def _get_connection(self): if self._connection and not self._connection.closed: return self._connection self._cursor = None return self._connect() def _get_cursor(self): if self._cursor and not self._cursor.closed: return self._cursor self._cursor = self._get_connection().cursor() return self._cursor def execute(self, *args, **kwargs): return self._get_cursor().execute(*args, **kwargs) def fetchone(self): return self._get_cursor().fetchone() def fetchmany(self, *args, **kwargs): return self._get_cursor().fetchmany(*args, **kwargs) def fetchall(self): return self._get_cursor().fetchall() def __iter__(self): return self._get_cursor() @property def statusmessage(self): cursor = self._get_cursor() if cursor: return cursor.statusmessage else: return None def commit(self): self._get_connection().commit() def rollback(self): self._get_connection().rollback() def close(self): self._get_connection().close() PK! mp  cranial/fetchers/__init__.py""" expose your connectors here so they are all importable from cranial.fetchers """ from cranial.fetchers.connector import Connector from cranial.fetchers.local import Connector as LocalConnector from cranial.fetchers.s3 import InMemoryConnector as S3InMemoryConnectorPK!ε cranial/fetchers/connector.pyimport io import os from tempfile import mkstemp from concurrent import futures from concurrent.futures import Future, ThreadPoolExecutor class Connector(): def __init__(self, base_address='', binary=True, do_read=False): self.base_address = base_address self.binary = binary self.do_read = do_read def iterator(self, d: dict) -> iter: """Get one or more IOstreams and iterate over them yielding lines.""" raise Exception("Not Implemented.") def toStream(self, data): if type(data) is str: return io.StringIO(data) elif type(data) is bytes: return io.BytesIO(data) else: raise Exception('Not implemented for data type: {}'.format( type(data))) def get_tmp_file(self): fd, local_path = mkstemp() os.close(fd) return fd, local_path def get(self, name=None) -> io.BytesIO: """Return an IOstream.""" raise Exception('Not Implemented') def put(self, stream: io.BytesIO, name: str = None) -> bool: """Return True if successful.""" raise Exception('Not Implemented') def executor(self): if not hasattr(self, 'pool'): self.pool = ThreadPoolExecutor() return self.pool def doFuture(self, fn: callable, *args, **kwargs) -> Future: return self.executor().submit(fn, *args, **kwargs) def getFuture(self, *args, **kwargs) -> Future: return self.doFuture(self.get, *args, **kwargs) def putFuture(self, *args, **kwargs) -> Future: return self.doFuture(self.put, *args, **kwargs) def doMultiple(self, fn: callable, d: dict, blocking=True, **kwargs): """Takes a dict of keys to argument to pass to fn. Returns dict of Futures if 'blocking' is set False. Otherwise IOStreams. """ response = {} for key in d: args = d[key] # Gracefully accept single arguments as-is. if type(args) is not list: args = [args] response[key] = fn(*args, **kwargs) if not (blocking): return response done = set() while len(done) < len(d): for key in d: if not (key in done): try: data = response[key].result(1) response[key] = data done.add(key) except futures.TimeoutError: pass except futures.CancelledError: response[key] = False done.add(key) return response def getMultiple(self, d: dict, blocking=True, **kwargs): return self.doMultiple(self.getFuture, d, blocking, **kwargs) def putMultiple(self, d: dict, blocking=True, **kwargs): return self.doMultiple(self.putFuture, d, blocking, **kwargs) def __str__(self): ss = [str(self.__class__).split("'")[1]] for attr in dir(self): if (not attr.startswith("_")) and (not hasattr(getattr(self, attr), '__call__')): ss.append("{} = {}".format(attr, getattr(self, attr))[:100]) return '\t'.join(ss)PK!H= &cranial/fetchers/googlecloudstorage.pyimport logging import io import os from google.cloud.storage import Client, Blob from google.oauth2 import service_account from cranial.fetchers import connector from cranial.common import logger log = logger.get('GOOGLECLOUDSTORAGE_LOGLEVEL', name='gcs_connector') class InMemoryConnector(connector.Connector): def __init__(self, bucket, prefix='', binary=True, do_read=False, credentials=None, project=None): super().__init__(base_address=prefix, binary=binary, do_read=do_read) params = {'project': project} if credentials: creds = service_account.Credentials.from_service_account_info( credentials) params['credentials'] = creds self.bucket = Client(**params).get_bucket(bucket) self.bucket_name = bucket def get(self, name=None): """ Get a bytes stream of an object Parameters ---------- name if None, prefix will be used as a key name, otherwise name will be added to prefix after '/' separator Returns ------- bytes stream with key's data, or an empty stream if errors occurred """ key = self.base_address if name is None else os.path.join(self.base_address, name) key = key.strip('/') try: blob = Blob(key, self.bucket) filestream = io.BytesIO() blob.download_to_file(filestream) filestream.seek(0) log.info("Getting {} bytes from \tbucket={}\tkey={}".format( blob.size, self.bucket_name, key)) self.metadata = blob.metadata except Exception as e: log.error("{}\tbucket={}\tkey={}".format(e, self.bucket_name, key)) if log.level == logging.DEBUG: raise e if self.do_read: asbytes = filestream.read() if not self.binary: return asbytes.decode() else: return asbytes return filestream def put(self, source, name=None): """ Parameters ---------- source name Returns ------- """ if isinstance(source, io.BytesIO): filebuff = io.BufferedReader(source) elif isinstance(source, (str, bytes)): filebuff = io.BufferedReader(io.BytesIO(source)) else: log.error('Source should be either a string, or bytes or io.BytesIO, got {}'.format(type(source))) return False key = self.base_address if name is None else os.path.join( self.base_address, name) key = key.strip('/') try: blob = Blob(key, self.bucket) blob.upload_from_file(filebuff, rewind=True) log.info("Uploaded {} bytes to \tbucket={}\tkey={}".format( len(source), self.bucket_name, key)) return True except Exception as e: log.error("{}\tbucket={}\tkey={}".format(e, self.bucket, key)) return False PK!Q cranial/fetchers/http.pytry: from . import connector except: import connector from requests_futures.sessions import FuturesSession class Connector(connector.Connector): r"""Connector for getting data via HTTP. Upload not yet implemented. >>> stream = Connector().get('http://httpbin.org/html') >>> next(stream).startswith('') True >>> r = Connector('http://httpbin.org').getMultiple({'rabbit': 'image/png', 'grenade': 'bytes/10'}, binary=True) >>> next(r['rabbit']) b'\x89PNG\r\n' """ def __init__(self, host:str=None): self.session = FuturesSession() # Ensure host ends in '/' if given. self.url_host = host if host is None or host.endswith('/') else host+'/' def get(self, url, binary=False): url = url if not self.url_host else self.url_host + url r = self.getFuture(url).result() return self.toStream(r.content if binary else r.text) def getFuture(self, url): url = url if not self.url_host else self.url_host + url return self.session.get(url) def getMultiple(self, d, blocking=True, binary=False): result = super(Connector, self).getMultiple(d, blocking) if not(blocking): return result for key in result: r = result[key] result[key] = self.toStream(r.content if binary else r.text) return result if __name__ == "__main__": import doctest doctest.testmod() PK!2H cranial/fetchers/local.pyfrom datetime import datetime import io import os from tempfile import mkstemp from cranial.fetchers import connector from cranial.common import logger log = logger.get(name='local_fetchers') # streaming log def file_readlines(fp, delete_after=False): """ memory efficient iterator to read lines from a file (readlines() method reads whole file) Parameters ---------- fp path to a decompressed file downloaded from s3 key delete_after delete file after it was read Returns ------- generator of lines """ with open(fp) as f: while True: line = f.readline() if line: yield line else: break if delete_after: try: os.unlink(fp) except Exception as e: log.warning(e) class Connector(connector.Connector): def __init__(self, path: str = '', binary=True, do_read=False) -> None: super().__init__(base_address=path, binary=binary, do_read=do_read) self._open_files = [] def get(self, name=None): if name.startswith('/'): name = name[1:] filepath = self.base_address if name is None else os.path.join(self.base_address, name) try: mode = 'rb' if self.binary else 'r' fh = open(filepath, mode) self._open_files.append(fh) res = fh self.metadata = { 'LastModified': datetime.utcfromtimestamp( os.path.getmtime(filepath))} log.info("Opened \t{}".format(filepath)) except Exception as e: log.error("{}\tbase_address={}\tname={}\tfilepath={}".format( e, self.base_address, name, filepath)) res = io.BytesIO() if self.binary else io.StringIO() if self.do_read: res = res.read() return res def put(self, source, name: str = None) -> bool: filepath = self.base_address if name is None else os.path.join(self.base_address, name) dir_path = os.path.split(filepath)[0] if len(dir_path) > 0: os.makedirs(dir_path, exist_ok=True) if isinstance(source, io.IOBase): source = source.read() elif isinstance(source, (str, bytes)): pass else: log.error('Source should be either a string, bytes or a readable buffer, got {}'.format(type(source))) return False try: mode = 'wb' if self.binary else 'w' # first write to a temp file _, local_path = self.get_tmp_file() with open(local_path, mode) as f: f.write(source) # then rename temp file to a proper name os.rename(local_path, filepath) log.info("wrote to \t{}".format(filepath)) return True except Exception as e: log.error("{}\tbase_address={}\tname={}".format(e, self.base_address, name)) return False def get_tmp_file(self): fd, local_path = mkstemp(dir=self.base_address) os.close(fd) return fd, local_path def __del__(self): [fh.close() for fh in self._open_files] if __name__ == "__main__": import doctest doctest.testmod() PK! MyVcranial/fetchers/s3.pyimport io import logging import os import shutil import subprocess import tempfile import boto3 from cranial.fetchers import connector from cranial.common import logger log = logger.get('S3_LOGLEVEL', name='s3_fetchers') SOURCE_DIR = 'storage/source' TARGET_DIR = 'storage/target' MODEL_DIR = 'storage/model' def cleanup_temp_data(): """ delete temp dirs """ try: shutil.rmtree(SOURCE_DIR) log.info("Removed {}".format(SOURCE_DIR)) except Exception as e: log.info(e) try: shutil.rmtree(TARGET_DIR) log.info("Removed {}".format(TARGET_DIR)) except Exception as e: log.info(e) try: shutil.rmtree(MODEL_DIR) log.info("Removed {}".format(MODEL_DIR)) except Exception as e: log.info(e) def prepare_s3_prefix(bucket, pre_date_part, y=None, mo=None, d=None, h=None, after_date_part=''): """ compose an s3 path from given parts and date values example: {bucket}/{pre_date_part}/mo={y}-{mo}/day={d}/hour={h}/after_date_part Parameters ---------- bucket bucket name, may include "s3://" pre_date_part part of the path before date strings y year number mo month number d day number h hour number after_date_part part of the path after date strings Returns ------- composed s3 path """ if not bucket.startswith('s3://'): bucket = 's3://' + bucket s = '/'.join([bucket.strip('/'), pre_date_part.strip('/')]) if y is not None and mo is not None: s += '/mo={y}-{mo}'.format(y=y, mo=mo) if d is not None: s += '/day={d}'.format(d=d) if h is not None: s += '/hour={h}'.format(h=h) if len(after_date_part) > 0: s += '/' + after_date_part return s def read_key(key, bucket, decode=True, verbose=False): """ The intended use is within a map function, so to change bucket and verbosity is not extremely simple and needs some functools (partial?) Parameters - self explanatory Returns - contents of the s3 key, decoded into utf8 string """ if verbose: log.info('reading {}'.format(key)) try: b_str = boto3.resource('s3').Bucket(bucket).Object(key).get()['Body'].read() except Exception as e: log.error("{}:{}\t{}".format(bucket, key, e)) return None return b_str.decode() if decode else b_str def key_download_decompress(bucket, key, force_decompress=False): """ First step in getting events from s3 key: - download a key into a temp file - decompress on disk Returns ------- name of the decompressed temp file or None if failed """ fp = tempfile.mkstemp(suffix='.gz')[1] boto3.resource('s3').Bucket(bucket).download_file(key, fp) log.info("downloaded {}/{} to {}".format(bucket, key, fp)) if key.endswith('.gz') or force_decompress: # @TODO Replace with gzip module. p = subprocess.run(['gunzip', fp, '-f'], stderr=subprocess.PIPE) if p.returncode == 0: log.info('decompressed {}'.format(fp)) return fp[:-3] else: log.warning(p.stderr) return None class S3Connector(connector.Connector): def __init__(self, bucket: str, prefix=''): self.bucket = bucket self.prefix = prefix self.cache = {} def get(self, s3_path, binary=False, redownload=False): if not redownload: try: local_path = self.cache[s3_path] return open(local_path, 'r' + 'b' if binary else '') except Exception as e: log.warn('S3 object {} not in cache: {}'.format(s3_path, e)) local_path = key_download_decompress(self.bucket, self.prefix + s3_path) self.cache[s3_path] = local_path return open(local_path, 'r' + 'b' if binary else '') def put(self, source, name=None): if type(source) is str: fname = name if name else source.split('/')[-1] boto3.resource('s3').Bucket(bucket).upload_file(self.prefix + fname, source) return True elif type(source) is io.BytesIO: fname = name if name else local_path.split('/')[-1] boto3.resource('s3').Bucket(bucket).upload_fileobj(self.prefix + fname, source) return True else: raise Exception( "Can't put source data type {}. Pass BytesIO or string path to a local file.".format(type(source))) class InMemoryConnector(connector.Connector): def __init__(self, bucket, prefix='', binary=True, do_read=False, credentials={}): super(InMemoryConnector, self).__init__(base_address=prefix, binary=binary, do_read=do_read) self.credentials = credentials self.bucket = bucket def get(self, name=None): """ Get a bytes stream of an s3 key Parameters ---------- name if None, prefix will be used as a key name, otherwise name will be added to prefix after '/' separator Returns ------- bytes stream with key's data, or an empty stream if errors occurred """ key = self.base_address if name is None else os.path.join(self.base_address, name) key = key.strip('/') try: res = boto3.resource('s3', **self.credentials).Bucket(self.bucket).Object(key).get() loglevel = log.warning if res['ContentLength'] == 0 else log.debug loglevel("Getting {} bytes from \tbucket={}\tkey={}".format(res['ContentLength'], self.bucket, key)) body = res.pop('Body') self.metadata = res except Exception as e: log.error("{}\tbucket={}\tkey={}".format(e, self.bucket, key)) if log.level == logging.DEBUG: raise e body = io.BytesIO() if self.do_read: body = body.read() if not self.binary: body = body.decode() return body def put(self, source, name=None): """ Parameters ---------- source name Returns ------- """ if isinstance(source, io.BytesIO): source = source.read() elif isinstance(source, (str, bytes)): pass else: log.error('Source should be either a string, or bytes or io.BytesIO, got {}'.format(type(source))) return False key = self.base_address if name is None else os.path.join(self.base_address, name) key = key.strip('/') try: res = boto3.resource('s3').Bucket(self.bucket).Object(key).put(Body=source) log.info("Uploaded {} bytes to \tbucket={}\tkey={}".format(len(source), self.bucket, key)) return res['ResponseMetadata']['HTTPStatusCode'] == 200 except Exception as e: log.error("{}\tbucket={}\tkey={}".format(e, self.bucket, key)) return False PK!(cranial/fetchers/tests/test_connector.pyimport unittest import sys sys.path.append('.') # in case file is run from root dir import io import time from concurrent.futures import Future from cranial.fetchers.connector import Connector class DummyConnector(Connector): def __init__(self): pass def get(self, name=None): s = 'some string and name={}'.format(name) time.sleep(0.5) return io.BytesIO(s.encode()) def put(self, stream, name=None): time.sleep(0.5) return isinstance(stream, io.BytesIO) class TestConnector(unittest.TestCase): def test_connector_get(self): c = DummyConnector() actual = c.get(name='blah').read().decode() expected = 'some string and name=blah' self.assertEqual(actual, expected, "should return a pre-defined utf8-encoded string " "and name passed into the method") def test_connector_put(self): c = DummyConnector() actual = c.put(io.BytesIO(b'some string'), name='blah') self.assertTrue(actual, "should return True that input is an instance of io.BytesIO") def test_toStream(self): c = DummyConnector() actual = [ isinstance(c.toStream('lala'), io.StringIO), isinstance(c.toStream(b'lala'), io.BytesIO), ] expected = [True, True] self.assertListEqual(actual, expected, "toStream should convert string into BytesIO and strings int StringIO") def test_getFuture(self): c = DummyConnector() f = c.getFuture(name='blah') actual = isinstance(f, Future) self.assertTrue(actual, "should return an instance of Future") def test_getFuture_result(self): c = DummyConnector() f = c.getFuture(name='blah') while not f.done(): time.sleep(0.1) actual = f.result().read().decode() expected = 'some string and name=blah' self.assertEqual(actual, expected, "final result should be a pre-defined utf8-encoded string " "and name passed into the method") def test_putFuture(self): c = DummyConnector() f = c.putFuture(io.BytesIO(b'some string'), name='blah') actual = isinstance(f, Future) self.assertTrue(actual, "should return an instance of Future") def test_putFuture_result(self): c = DummyConnector() f = c.putFuture(io.BytesIO(b'some string'), name='blah') while not f.done(): time.sleep(0.1) actual = f.result() self.assertTrue(actual, "result should be True") def test_getMultiple_no_block(self): c = DummyConnector() res = c.getMultiple({'a': 'a', 'b': 'b'}, blocking=False) actual = {k:isinstance(v, Future) for k, v in res.items()} expected = {'a': True, 'b': True} self.assertDictEqual(actual, expected, "should return a dictionary with futures") def test_getMultiple_block(self): c = DummyConnector() res = c.getMultiple({'a': 'a', 'b': 'b'}, blocking=True) actual = {k:v.read().decode() for k, v in res.items()} expected = { 'a': 'some string and name=a', 'b': 'some string and name=b' } self.assertDictEqual(actual, expected, "should return a dictionary with streams") def test_putMultiple_no_block(self): c = DummyConnector() res = c.putMultiple({ 'a': io.BytesIO(b'some string'), 'b': ['some string', 'b'] # << two args }, blocking=False) actual = {k:isinstance(v, Future) for k, v in res.items()} expected = {'a': True, 'b': True} self.assertDictEqual(actual, expected, "should return a dictionary with futures") def test_putMultiple_block(self): c = DummyConnector() res = c.putMultiple({ 'a': io.BytesIO(b'some string'), 'b': ['some string', 'b'] # << two args }, blocking=True) actual = res expected = { 'a': True, 'b': False } self.assertDictEqual(actual, expected, "should return a dictionary with results") if __name__ == '__main__': unittest.main() PK!1C $cranial/fetchers/tests/test_local.pyimport unittest import sys sys.path.append('.') # in case file is run from root dir import os import io import tempfile from cranial.fetchers.local import Connector2 class TestLocalConnector(unittest.TestCase): def test_connector_init(self): c1 = Connector2() c2 = Connector2(path='temp_dir') actual = [c1.base_address, c2.base_address] expected = ['', 'temp_dir'] self.assertEqual(actual, expected, "should take path or use an empty string") def test_get(self): tf = tempfile.NamedTemporaryFile(mode='r') with open(tf.name, 'w') as f: f.write('blah') c = Connector2(binary=False) actual = c.get(name=tf.name).read() expected = 'blah' tf.close() self.assertEqual(actual, expected, 'should read a temp file') def test_get_do_read(self): tf = tempfile.NamedTemporaryFile(mode='r') with open(tf.name, 'w') as f: f.write('blah') c = Connector2(binary=False, do_read=True) actual = c.get(name=tf.name) expected = 'blah' tf.close() self.assertEqual(actual, expected, 'should reaturn a string instead of a buffer') def test_get_bad_name(self): c = Connector2(binary=False) actual = c.get(name='non-existing-file').read() expected = '' self.assertEqual(actual, expected, 'should return an empty string') def test_get_binary(self): tf = tempfile.NamedTemporaryFile(mode='rb') with open(tf.name, 'wb') as f: f.write(b'blah') c = Connector2(binary=True) actual = c.get(name=tf.name).read() expected = b'blah' tf.close() self.assertEqual(actual, expected, 'should read a temp file') def test_get_bad_name_binary(self): c = Connector2(binary=True) actual = c.get(name='non-existing-file').read() expected = b'' self.assertEqual(actual, expected, 'should return an empty string') def test_put_result(self): tfb = tempfile.NamedTemporaryFile(mode='rb') tf = tempfile.NamedTemporaryFile(mode='r') cb = Connector2(binary=True) c = Connector2(binary=False) actual = [ cb.put(io.BytesIO(b'blah'), name=tfb.name), cb.put(b'blah', name=tfb.name), cb.put(42, name=tfb.name), c.put(io.StringIO('blah'), name=tf.name), c.put('blah', name=tf.name), c.put(42, name=tf.name) ] expected = [True, True, False, True, True, False] tfb.close() tf.close() self.assertListEqual(actual, expected, 'should do two good writes and one failed') def test_put_check_written(self): tfb = tempfile.NamedTemporaryFile(mode='rb') tf = tempfile.NamedTemporaryFile(mode='r') cb = Connector2(binary=True) c = Connector2(binary=False) _ = [ cb.put(io.BytesIO(b'blah'), name=tfb.name), cb.put(b'blah', name=tfb.name), cb.put(42, name=tfb.name), c.put(io.StringIO('blah'), name=tf.name), c.put('blah', name=tf.name), c.put(42, name=tf.name) ] with open(tfb.name, 'rb') as f: resb = f.read() with open(tf.name, 'r') as f: res = f.read() actual = [resb, res] expected = [b'blah', 'blah'] tfb.close() tf.close() self.assertListEqual(actual, expected, 'should over-write blah') if __name__ == '__main__': unittest.main() PK!Ýcranial/keyvalue/README.rstKeyValueDB is intended to allow external databases to be used as a drop-in replacement for Python Dictionaries in many use cases. Once you've initialized a KeyValueDB object, if you know how to use a Dict, then you know how to use it. Choosing the right sub-class and parameter options for maximum performance for your application does require some understanding of the internals, however. KeyValueDB is intended for rapid prototyping and optimized for ease-of-use, not performance. Expect to need to do some refactoring, probably with a custom sub-class, to make an application production-ready. The first argument to a KeyValueDB init can be any DBAPI2-compatible cursor. Since the Cassanda driver is not DBAPI2-compatible, we provide the CassandraAdapter class which wrapps a Cassanda session and provides the DBAPI2 interface. Other database adapters in cranial are provided for convenience, and are not necessary for use with KeyValueDB, though they may make it easier to get a reliable cursor. KeyValueDB does not depend on fetchers. They are mostly separate tools for separate jobs at the present. In the future, it is conceivable that a fetcher could make use of an optimized KeyValueDB subclass. But because fetchers are not DBAPI2 compatible (because they are intended to support data storage systems more generally, and not just databases), it is unlikely one would ever want to use a fetcher inside a KeyValueDB subclass. PK!ړOcranial/keyvalue/__init__.pyfrom .keyvalue import * PK!]0ޘcranial/keyvalue/interceptor.pyfrom cranial.keyvalue import keyvalue class DeleteOp: """This class is passed as the 'value' to the intercept function for a __delitem__ operation. This allows the intercept function to differentiate a Delete from a Get.""" pass class GetOp: """ @see DeleteOp.""" pass class KeyValueInterceptor(keyvalue.KeyValueDB): ''' Adds to KeyValueDB the ability provide a "interceptor" function that can make modifications based on the key. >>> import pickle >>> kv = get_mock() >>> def fn(obj, key, value=None): ... obj.valcol = 'alt' if key == 'bar' else 'value' ... return key, value ... >>> kv.set_interceptor(fn) >>> kv['foo'] = 'a' >>> kv['foo'] 'a' >>> kv['bar'] = 'b' >>> kv['bar'] 'b' >>> list(map(lambda x: (x[0], pickle.loads(x[1]) if x[1] else x[1], pickle.loads(x[2]) if x[2] else x[2]), kv.db.execute("SELECT * FROM test").fetchall())) [('foo', 'a', None), ('bar', None, 'b')] >>> del(kv['foo']) >>> kv.db.connection.close() ''' def set_interceptor(self, fn: callable): """ fn(self, key, value) -> key, value""" if hasattr(self, 'intercept'): raise Exception("Intercept function should only be set once.") else: self.intercept = fn def __getitem__(self, key): if hasattr(self, 'intercept'): key, _ = self.intercept(self, key, GetOp) return super().__getitem__(key) def __setitem__(self, key, value): if hasattr(self, 'intercept'): key, value = self.intercept(self, key, value) return super().__setitem__(key, value) def __delitem__(self, key): if hasattr(self, 'intercept'): key, _ = self.intercept(self, key, DeleteOp) return super().__delitem__(key) """ Module Functions. """ def get_mock(): import sqlite3 conn = sqlite3.connect(":memory:") cur = conn.cursor() cur.execute( "CREATE TABLE test (key VARCHAR, value BLOB, alt BLOB);" ).connection.commit() return KeyValueInterceptor(cur, 'test', commit_fn=conn.commit) if __name__ == "__main__": import doctest doctest.testmod() PK!Ayycranial/keyvalue/keyvalue.pyimport pickle import json from typing import Iterable from cachetools import TTLCache from cranial.common import logger log = logger.get(name='cranial.keyvalue') # Default Databse Column type for values when blob is False DEFAULT_TYPE = 'text' class KeyValueDB(object): '''This object should mostly work like a dictionary, except it reads and writes from an external database. Subclasses can implement caching as appropriate. This class assumes that the database enforces uniqueness of the keys. I.e., all SELECT queries will have LIMIT 1. >>> kv = get_mock() >>> kv['foo'] = 'a' >>> kv[1] = 'int' >>> kv.cache_clear() >>> kv['foo'] 'a' >>> kv[1] 'int' >>> kv['bar'] = 'b' >>> kv.cache_clear() >>> kv['bar'] 'b' >>> kv['foo'] = 'c' >>> kv.cache_clear() >>> kv['foo'] = 'd' >>> kv.cache_clear() >>> kv['foo'] 'd' >>> kv['bar'] 'b' >>> kv.db.connection.close() ''' def __init__(self, cursor, table: str, create_table: bool = False, truncate_table: bool = False, drop_table: bool = False, keycol: str = 'key', valcol: str = 'value', blob=True, keytype: str = 'text', valtype: str = DEFAULT_TYPE, # Default if `blob` is False. placeholder: str = '?', commit_fn: callable = None, cachesize=2 ** 10, cacheduration=3600): """Create a KeyValueDB object with given connection and table. By default, the value type is pickled blob. Users can pass `blob=False` to serialize data as JSON in a text field, or `valtype='TYPE'` where TYPE is any type supported by the database. Parameters ---------- cursor A DBAPI2 cursor, or at least an object with an .execute() method that accepts SQL query and a .fetchone() method that returns a row. table A table with 'key' and 'value' columns in the connected DB. create_table If True, execute 'create table if not exists ...' keycol Column name for key values, default 'key' valcol Column name for value values, default 'value' keytype If create_table, the datatype for the key. Default 'text'. valtype If create_table, the datatype for the value. Default 'blob' when `blob` parameter (below) is true, otherwise, 'text.' blob **DEPRECATED** If True, use pickle to (de)serialize, if False, use json. To support this, the cursor.execute() method must be able to accept a `bytes` parameter. placeholder The placeholder character required by the cursor's `paramstyle`. Defaults to '?'. commit_fn An optional function that will be called after writes with no arguments. If using a transactional DBAPI2 cursor without autocommit, this should probably be cursor.connection.commit unless you are handling transactions elsewhere. cachesize Max size for the LRU cache. cacheduration Seconds after which cache items will be expired. """ self.db = cursor self.table = table self.keycol = keycol self.keytype = keytype self.valcol = valcol self.valtype = 'blob' if blob and valtype is DEFAULT_TYPE else valtype self.placeholder = placeholder self.commit = commit_fn self.cache = TTLCache(maxsize=cachesize, ttl=cacheduration) if create_table: self._create_table(drop_table) elif truncate_table: self.db.execute("TRUNCATE {};".format(table)) self._get_table_columns() def _get_table_columns(self): """ Not ideal way to look up what columns are there in the underlying table # @TODO: make this less dependent on database type """ try: # Better for Cassandra/Scylla. self.db.execute("SELECT column_name FROM system_schema.columns " "WHERE keyspace_name = 'default' and table_name = '{}'".format(self.table)) self.table_columns = [r.column_name for r in self.db.fetchall()] except: log.info("Couldn't get columns through system_schema.") try: # For DBAPI2 databases. self.db.execute("SELECT * FROM {} LIMIT 1".format(self.table)) self.table_columns = [d[0] for d in self.db.description] except: log.warning("Couldn't get columns through row.") if not self.table_columns: raise Exception("Could not initialize table_columns. Maybe table does not exist.") else: log.info("{} table has these columns: {}".format(self.table, self.table_columns)) return self.table_columns def _create_table(self, drop_table): """ helper method to run 'create table' query, optionally drop the table if it exists before creating it again Parameters ---------- drop_table if True, try dropping table before creating """ if drop_table: log.warning("Dropping table if exists: {}".format(self.table)) self.db.execute( "DROP TABLE IF EXISTS {t} ".format(t=self.table)) self.db.execute( """CREATE TABLE IF NOT EXISTS {t} ( {k} {ktype} PRIMARY KEY, {v} {vtype});""".format(t=self.table, k=self.keycol, ktype=self.keytype, v=self.valcol, vtype=self.valtype)) def _to_blob(self, v): return pickle.dumps(v, protocol=4) \ if self.valtype is 'blob' else json.dumps(v) def __getitem__(self, key): """ Basic get/set is tested throughout the class. Here we test the cache. >>> kv = get_mock() >>> kv['witch'] = 'duck' >>> 'witch' in kv.cache True """ if not (key in self.cache): base_query = "SELECT {} from {} where {} = {} LIMIT 1".format( self.valcol, self.table, self.keycol, self.placeholder) self.db.execute(base_query, [key]) result = self.db.fetchone()[0] unserialized = pickle.loads(result) \ if self.valtype is 'blob' else json.loads(result) self.cache[key] = unserialized return self.cache[key] def get(self, key, default=None): """ analog of dict.get Parameters ---------- key key default if key is not found, return this value, default is None Returns ------- value corresponding to the key, or default """ try: result = self[key] if result is None: return default except KeyError as e: log.debug(str(e)) return default except Exception as e: log.warning(str(e)) return default return result def __setitem__(self, key, value): serialized_value = self._to_blob(value) # Subjectively, UPDATE||INSERT is faster than DEL+INSERT in Redshift. # This could possibly be optimized for Cassandra, it works fine. try: base_query = "UPDATE {} SET {} = {} WHERE {} = {}".format( self.table, self.valcol, self.placeholder, self.keycol, self.placeholder) self.db.execute(base_query, [serialized_value, key]) if key in self.cache: del (self.cache[key]) if self.db.rowcount < 1: base_query = "INSERT INTO {} ({}, {}) VALUES ({}, {})".format( self.table, self.keycol, self.valcol, self.placeholder, self.placeholder) self.db.execute(base_query, [key, serialized_value]) self.cache[key] = value if self.commit: self.commit() return value except Exception as e: log.error('{}: {}'.format(type(e), e)) log.error("Could not update {} => {}".format(key, value)) def __delitem__(self, key): base_query = "DELETE from {} where {} = {}".format( self.table, self.keycol, self.placeholder) self.db.execute(base_query, [key]) if key in self.cache: del (self.cache[key]) if self.commit: self.commit() return key def __missing__(self, key): raise KeyError('No such key.') def cache_clear(self): """ >>> kv = get_mock() >>> kv['witch'] = 'duck' >>> kv.cache_clear() >>> 'witch' in kv.cache False """ self.cache = TTLCache(self.cache.maxsize, self.cache.ttl) def keys(self): self.db.execute("SELECT distinct {} from {}".format( self.keycol, self.table)) for r in self.db.fetchall(): yield r[0] def __len__(self): return self.db.execute("SELECT COUNT(1) from {}".format( self.table)).fetchone()[0] class KeyValueReadOnly(KeyValueDB): """Access a Key-Value table with protection against writes. >>> kv = get_mock() >>> kv['foo'] = 'a' >>> kv[1] = 'int' >>> kv.cache_clear() >>> kv['foo'] 'a' >>> ro = KeyValueReadOnly(kv.db, kv.table, blob=False) >>> ro['foo'] 'a' >>> ro['foo'] = 'b' Traceback (most recent call last): File "keyvalue.py", line 000, in __setitem__ raise Exception('Read-only data.') Exception: Read-only data. >>> del(ro['foo']) Traceback (most recent call last): File "keyvalue.py", line 000, in __delitem__ raise Exception('Read-only data.') Exception: Read-only data. """ def __init__(self, cursor, table: str, keycol: str = 'key', valcol: str = 'value', blob=True, keytype: str = 'text', valtype: str = DEFAULT_TYPE, placeholder: str = '?'): super().__init__(cursor=cursor, table=table, keycol=keycol, valcol=valcol, blob=blob, keytype=keytype, valtype=valtype, placeholder=placeholder) def __setitem__(self, key, value): raise Exception('Read-only data.') def __delitem__(self, key): raise Exception('Read-only data.') """ Module Functions. """ class StringSerDe(): def dumps(self, v): return str(v) def loads(self, v): # Return None as-is to indicate a Null column. return str(v) if v is not None else v class BoolIntSerDe(): def dumps(self, v): if v is True: return 1 elif v is False: return 0 else: return v def loads(self, v): if v is 1: return True elif v is 0: return False else: return v class NoOpSerDe(): def dumps(self, v): return v def loads(self, v): return v class KeyRowDB(KeyValueDB): """ This should work well for Cassandra/Scylla, and OK on traditional Relational DBs with an index on the key. You Probably don't want to use this on Redshift, though performance should be acceptable if the key is your table's SORTKEY. Tests to demostrate interoperability with KeyValueDB class: >>> kv = get_mock() >>> kr = KeyRowDB(kv.db, kv.table) >>> kv['foo'] = 'a' >>> kr['foo']['value'] == 'a' and kr['foo']['other'] == None True >>> kr['foo'] = {'other': 'x', 'value': 'b'} >>> kv.cache_clear() >>> kv['foo'] 'b' >>> kr['foo'] = {'key': 'foo', 'other': 'x', 'value': 'b'} >>> kv['foo'] = 'c' >>> kr.cache_clear() >>> kr['foo']['value'] == 'c' and kr['foo']['other'] == 'x' True """ def __init__(self, cursor, table: str, valcols: Iterable = None, create_table: bool = False, truncate_table: bool = False, drop_table: bool = False, keycol: str = 'key', keytype: str = DEFAULT_TYPE, valtype: str = DEFAULT_TYPE, placeholder: str = '?', commit_fn: callable = None, blob=False, serde: 'loads/dumps' = json, cachesize=2 ** 10, cacheduration=3600): """ If table creation is desired, the user must provide valcols. By default, values will be stored in text columns as json. Alternatively, the user may set either `blob = True` to store pickled bytes, or set `serde` to an object that will convert values to/from strings. >>> cur = get_temp_db() >>> cur.execute("CREATE TABLE simple (key VARCHAR, knights VARCHAR)" ... ).connection.commit() >>> simple = KeyRowDB(cur, 'simple') >>> simple['spam'] = {'knights': 'ni!'} >>> cur.execute("SELECT * FROM simple").fetchone() ('spam', '"ni!"') >>> dropped = KeyRowDB(cur, 'simple', valcols=['different'], ... drop_table=True, create_table=True) >>> cur.execute("SELECT * FROM simple").fetchone() is None True >>> created = KeyRowDB(cur, 'created', valcols=['spam'], ... create_table=True) >>> created['camelot'] = {'spam': 'alot'} >>> pickled = KeyRowDB(cur, 'pickled', valcols=['v'], ... create_table=True, blob=True) >>> pickled['grenade'] = {'v': {'count': 5}} >>> pickled.cache_clear() >>> pickled['grenade']['v']['count'] is 5 True >>> numeric = KeyRowDB(cur, 'numeric', keycol='num', keytype='int', ... valcols= ['word'], create_table=True) >>> numeric[1] = {'word': 'foo'} >>> cur.execute("SELECT * FROM numeric").fetchone() (1, '"foo"') """ assert callable(serde.loads) assert callable(serde.dumps) self.valcols = valcols super().__init__(cursor=cursor, table=table, keycol=keycol, keytype=keytype, valtype=valtype, placeholder=placeholder, blob=blob, create_table=create_table, truncate_table=truncate_table, drop_table=drop_table, commit_fn=commit_fn, cachesize=cachesize, cacheduration=cacheduration) del self.valcol if not create_table: existing_cols = set(self.table_columns) if self.valcols is not None: req_cols = set(self.valcols) assert all([c in existing_cols for c in req_cols]), \ "these columns do not exist in the already existing table: {}".format(req_cols - existing_cols) self.serde = pickle if self.valtype is 'blob' else serde def _check_coltypes(self, cols, coltype): """ make sure that coltype is a dict where keys are column names and values are their data types Parameters ---------- cols list of column names coltype - if dict, make sure all columns are in dict keys and fill with default data type if missing - if iterable, has to have the same number of items as column names, the two lists will be zipped together - if str, this type will be used for all columns Returns ------- dict with {column:datatype} """ if isinstance(coltype, dict): coltype = {c: coltype.get(c, DEFAULT_TYPE) for c in cols} elif isinstance(coltype, (list, tuple)): assert len(cols) == len(coltype), "when column types are given as list the " \ "number should match the number of columns" coltype = dict(zip(cols, coltype)) elif isinstance(coltype, str): coltype = {c: coltype for c in cols} else: raise Exception("column types should be either dict, list, tuple or string") return coltype def _create_table(self, drop_table): """ >>> cur = get_temp_db() >>> serde = StringSerDe() >>> kr = KeyRowDB(cur, 'newtable', commit_fn=cur.connection.commit, ... create_table = True, ... valcols=['foo', 'bar' , 'baz'], serde=serde) >>> kr['spam'] = {'foo': 'a', 'bar': 'b'} >>> kr.cache_clear() >>> kr['spam'] == {'foo': 'a', 'bar': 'b', 'baz': None} True """ if not self.valcols: raise Exception("Can't create table without defined columns.") if drop_table: log.warning("Dropping table if exists {}".format(self.table)) self.db.execute( "DROP TABLE IF EXISTS {t} ".format(t=self.table)) query = self._create_table_query() self.db.execute(query) log.info("Created table {} (if it didn't exist already)".format( self.table)) def _create_table_query(self): """ Factor out query definition and its execution from _create_table method """ # make sure column types are set for every column self.valtype = self._check_coltypes(self.valcols, self.valtype) # Initialize columns with Key. Then append Additional columns. columns = ['{} {} PRIMARY KEY'.format(self.keycol, self.keytype)] columns += ['{} {}'.format(name, dtype) for name, dtype in self.valtype.items()] query = "CREATE TABLE IF NOT EXISTS {table} ({columns});".format( table=self.table, columns=','.join(columns)) return query def _execute_get_query(self, key): """ Factor out the query definition and its execution from __getitem__. """ # @TODO Update to support varying Column Types. base_query = "SELECT {} from {} where {} = {} LIMIT 1".format( '*' if not self.valcols else ','.join(self.valcols), self.table, self.keycol, self.placeholder) log.debug(base_query) self.db.execute(base_query, [key]) def get(self, key, default=None): """ Parameters ---------- key default 1. Can be a dict, with valcols as keys and values as default values for each column. 2. Can be a list with the same number of values as the number of valcols, list items correspond to individual default values for each of the valcols. 3. Can be anything else, in this case the same default value will be used for all columns. If there is a need to use default value of dict or list type for all columns - replicate the value and use option 1 or 2. Returns ------- """ if default is not None: for k in default: assert k in (self.valcols or self.table_columns) return super().get(key, default) def __getitem__(self, key): """ Basic get/set is tested throughout the class. Here we test the cache. >>> cur = get_temp_db() >>> kr = KeyRowDB(cur, 'simple', valcols=['weight'], create_table=True) >>> kr['witch'] = {'weight': 'duck'} >>> 'witch' in kr.cache True """ if not (key in self.cache): self._execute_get_query(key) columns = self.valcols or self.table_columns result = self.db.fetchone() if not result: raise KeyError("key {} is not found".format(key)) # Pair values with column name. values_zip = zip(columns, result) # Deserialize. values = {} for k, v in values_zip: try: v = self.serde.loads(v) except Exception as e: # The Key column usually isn't serialized. if v is not None and k != self.keycol: log.warning('Exception for key {}: {}'.format(k, v)) log.warning(e) # If Deserializing failed, fall-through to using the column # data as-is. values[k] = v self.cache[key] = values return self.cache[key] def __setitem__(self, key, values: dict): assert type(values) is dict # make sure there is no keycol in values dict values.pop(self.keycol, None) data = [[f, self.serde.dumps(v)] for f, v in values.items()] try: values_str = ', '.join( ['{} = {}'.format(f, self.placeholder) for f, v in data]) base_query = "UPDATE {} SET {}".format(self.table, values_str) base_query += " WHERE {} = {}".format(self.keycol, self.placeholder) log.debug(base_query) self.db.execute(base_query, [v for f, v in data] + [key]) if self.db.rowcount < 1: data.append([self.keycol, key]) base_query = "INSERT INTO {} ({}) VALUES ({})".format( self.table, ', '.join([f for f, v in data]), ', '.join([self.placeholder for _ in data])) log.debug(base_query) self.db.execute(base_query, [v for f, v in data]) self.cache[key] = values if self.commit: self.commit() return values except Exception as e: log.error('{}: {}'.format(type(e), e)) log.error("Could not update {} => {}".format(key, values)) class CompoundKeyRowDB(KeyRowDB): """ This CompoundKeyRowDB object takes tuples as keys. @TODO It might be an improvement to eliminate this class and simply have the code here used in KeyRowDB when KeyRowDB.keycol is a tuple. """ def __init__(self, cursor, table: str, keycols: Iterable = None, valcols: Iterable = None, create_table: bool = False, truncate_table: bool = False, drop_table: bool = False, keytype = DEFAULT_TYPE, valtype = DEFAULT_TYPE, placeholder: str = '?', commit_fn: callable = None, blob=False, # @TODO Define Serde Abstract Base Class. serde: 'loads/dumps' = json, cachesize=2 ** 10, cacheduration=3600): """ If table creation is desired, the user must provide valcols. By default, values will be stored in text columns as json. Alternatively, the user may set either `blob = True` to store pickled bytes, or set `serde` to an object that will convert values to/from strings. >>> cur = get_temp_db() >>> cur.execute("CREATE TABLE simple (a VARCHAR, b VARCHAR, c VARCHAR, d VARCHAR)" ... ).connection.commit() >>> simple = CompoundKeyRowDB(cur, 'simple', keycols=['a', 'b']) >>> simple[('foo', 'bar')] = {'c': 'knights', 'd': 'ni!'} >>> cur.execute("SELECT * FROM simple").fetchone() ('foo', 'bar', '"knights"', '"ni!"') >>> dropped = CompoundKeyRowDB(cur, 'simple', keycols=['a', 'b'], valcols=['different'], ... drop_table=True, create_table=True) >>> cur.execute("SELECT * FROM simple").fetchone() is None True >>> created = CompoundKeyRowDB(cur, 'created', keycols=['a', 'b'], valcols=['spam'], ... create_table=True) >>> created[('cam', 'elot')] = {'spam': 'alot'} >>> pickled = CompoundKeyRowDB(cur, 'pickled', keycols=['a', 'b', 'c'], valcols=['v'], ... create_table=True, blob=True) >>> pickled[('gre', 'n', 'ade')] = {'v': {'count': 5}} >>> pickled.cache_clear() >>> pickled[('gre', 'n', 'ade')]['v']['count'] is 5 True >>> numeric = CompoundKeyRowDB(cur, 'numeric', keycols=['a', 'b'], keytype='int', ... valcols=['word', 'num'], valtype=['text', 'decimal'], create_table=True) >>> numeric[(1, 2)] = {'word': 'foo', 'num': 3.14} >>> cur.execute("SELECT a, b, word, num FROM numeric").fetchone() (1, 2, '"foo"', 3.14) """ assert callable(serde.loads) assert callable(serde.dumps) self.keycols = keycols super().__init__(cursor=cursor, table=table, valcols=valcols, keytype=keytype, valtype=valtype, placeholder=placeholder, blob=blob, create_table=create_table, truncate_table=truncate_table, drop_table=drop_table, commit_fn=commit_fn, cachesize=cachesize, cacheduration=cacheduration) del self.keycol def keys(self): raise NotImplementedError("This class does not have method 'keys'") def _create_table_query(self): """ Different way to define columns and set compound primary key. This is used inside _create_table method >>> cur = get_temp_db() >>> serde = StringSerDe() >>> kr = CompoundKeyRowDB(cur, 'newtable', commit_fn=cur.connection.commit, ... create_table = True, keycols=['a', 'b'], ... valcols=['foo', 'bar' , 'baz'], serde=serde) >>> kr[('spam', 'alot')] = {'foo': 'a', 'bar': 'b'} >>> kr.cache_clear() >>> kr[('spam', 'alot')] == {'foo': 'a', 'bar': 'b', 'baz': None} True """ # make sure column types are set for every column self.valtype = self._check_coltypes(self.valcols, self.valtype) self.keytype = self._check_coltypes(self.keycols, self.keytype) log.debug(self.valtype) log.debug(self.keytype) columns = [] columns += ['{} {}'.format(name, dtype) for name, dtype in self.keytype.items()] columns += ['{} {}'.format(name, dtype) for name, dtype in self.valtype.items()] query = "CREATE TABLE IF NOT EXISTS {table} ({columns}, PRIMARY KEY ({key_cols}))".format( table=self.table, columns=','.join(columns), key_cols=','.join(self.keycols)) return query def _execute_get_query(self, key): """ Different select query to filter on multiple column. This is used inside __getitem__ method """ # @TODO Update to support varying Column Types. base_query = "SELECT {} from {} where {} LIMIT 1".format( '*' if not self.valcols else ','.join(self.valcols), self.table, " AND ".join(["{} = {}".format(c, self.placeholder) for c in self.keycols]) ) log.debug(base_query) self.db.execute(base_query, key) def __setitem__(self, key, values: dict): """ To adapt to the fact that key is a tuple: - different way to make sure there is no keycol in values dict - different UPDATE query and exec - different INSERT query and exec """ assert type(values) is dict # make sure there is no keycol in values dict _ = [values.pop(c, None) for c in self.keycols] data = [[f, self.serde.dumps(v)] for f, v in values.items()] try: values_str = ', '.join( ['{} = {}'.format(f, self.placeholder) for f, v in data]) base_query = "UPDATE {} SET {}".format(self.table, values_str) base_query += " WHERE " + " AND ".join(["{} = {}".format(c, self.placeholder) for c in self.keycols]) log.debug(base_query) self.db.execute(base_query, [v for f, v in data] + list(key)) if self.db.rowcount < 1: data.extend(zip(self.keycols, key)) base_query = "INSERT INTO {} ({}) VALUES ({})".format( self.table, ', '.join([f for f, v in data]), ', '.join([self.placeholder for _ in data])) log.debug(base_query) self.db.execute(base_query, [v for f, v in data]) self.cache[key] = values if self.commit: self.commit() return values except Exception as e: log.error('{}: {}'.format(type(e), e)) log.error("Could not update {} => {}".format(key, values)) def __delitem__(self, key): """ Override to adopt query for mylti-column key """ base_query = "DELETE from {}".format(self.table) base_query += " WHERE " + " AND ".join(["{} = {}".format(c, self.placeholder) for c in self.keycols]) log.debug(base_query) self.db.execute(base_query, key) if key in self.cache: del (self.cache[key]) if self.commit: self.commit() return key class StringKeyRowDB(KeyRowDB): """Forces keys to be strings. Mainly for SQLite & testing.""" def __getitem__(self, key): return super().__getitem__(str(key)) def __setitem__(self, key, values): return super().__setitem__(str(key), values) def __delitem__(self, key): return super().__delitem__(str(key)) class UncountableKeyRowDB(KeyRowDB): def __len__(self): return 1 def get_temp_db(filename=None): import sqlite3 if filename is None: conn = sqlite3.connect(":memory:") else: conn = sqlite3.connect(filename) return conn.cursor() def get_mock(name='test', filename=None): cur = get_temp_db(filename) cur.execute( "CREATE TABLE {} (key VARCHAR, value VARCHAR, other VARCHAR);".format( name)).connection.commit() return KeyValueDB(cur, name, blob=False, commit_fn=cur.connection.commit) if __name__ == "__main__": import doctest doctest.testmod() PK!cranial/keyvalue/kvandra.py''' Helper functions to work with Cassandra via KeyValueDB. ''' import json import os from cassandra.cluster import Cluster from cassandra.policies import TokenAwarePolicy, RoundRobinPolicy from cassandra.query import named_tuple_factory from cassandra.auth import PlainTextAuthProvider from cranial.datastore.adapters.cassandra import CassandraAdapter as Adapter from cranial.keyvalue.keyvalue import KeyValueDB as KeyValue from cranial.common import logger log = logger.get() session = None def get_cursor(existing=None, hosts=None, new=False): global session if existing: return existing if session and not new: return session if hosts is None: hosts = os.environ.get('KEYVALUE_HOSTS', '').split(',') auth = None try: with open('keys/cassandra-config.json') as f: auth = PlainTextAuthProvider(**json.load(f)) except Exception as e: log.warning('Could not get Cassandra credentials from file.') log.warning(e) cluster = Cluster( hosts, load_balancing_policy=TokenAwarePolicy(RoundRobinPolicy()), auth_provider=auth) session = cluster.connect('default') session.row_factory = named_tuple_factory return session def get_kv(name, **kwargs): return KeyValue(Adapter(get_cursor()), table=name, create_table=True, **kwargs) PK!|wfKK)cranial_datastore-0.2.0.dist-info/LICENSE GNU GENERAL PUBLIC LICENSE Version 3, 29 June 2007 Copyright (C) 2007 Free Software Foundation, Inc. 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If you convey an object code work under this section in, or with, or specifically for use in, a User Product, and the conveying occurs as part of a transaction in which the right of possession and use of the User Product is transferred to the recipient in perpetuity or for a fixed term (regardless of how the transaction is characterized), the Corresponding Source conveyed under this section must be accompanied by the Installation Information. But this requirement does not apply if neither you nor any third party retains the ability to install modified object code on the User Product (for example, the work has been installed in ROM). The requirement to provide Installation Information does not include a requirement to continue to provide support service, warranty, or updates for a work that has been modified or installed by the recipient, or for the User Product in which it has been modified or installed. Access to a network may be denied when the modification itself materially and adversely affects the operation of the network or violates the rules and protocols for communication across the network. Corresponding Source conveyed, and Installation Information provided, in accord with this section must be in a format that is publicly documented (and with an implementation available to the public in source code form), and must require no special password or key for unpacking, reading or copying. 7. Additional Terms. "Additional permissions" are terms that supplement the terms of this License by making exceptions from one or more of its conditions. Additional permissions that are applicable to the entire Program shall be treated as though they were included in this License, to the extent that they are valid under applicable law. If additional permissions apply only to part of the Program, that part may be used separately under those permissions, but the entire Program remains governed by this License without regard to the additional permissions. When you convey a copy of a covered work, you may at your option remove any additional permissions from that copy, or from any part of it. (Additional permissions may be written to require their own removal in certain cases when you modify the work.) You may place additional permissions on material, added by you to a covered work, for which you have or can give appropriate copyright permission. Notwithstanding any other provision of this License, for material you add to a covered work, you may (if authorized by the copyright holders of that material) supplement the terms of this License with terms: a) Disclaiming warranty or limiting liability differently from the terms of sections 15 and 16 of this License; or b) Requiring preservation of specified reasonable legal notices or author attributions in that material or in the Appropriate Legal Notices displayed by works containing it; or c) Prohibiting misrepresentation of the origin of that material, or requiring that modified versions of such material be marked in reasonable ways as different from the original version; or d) Limiting the use for publicity purposes of names of licensors or authors of the material; or e) Declining to grant rights under trademark law for use of some trade names, trademarks, or service marks; or f) Requiring indemnification of licensors and authors of that material by anyone who conveys the material (or modified versions of it) with contractual assumptions of liability to the recipient, for any liability that these contractual assumptions directly impose on those licensors and authors. All other non-permissive additional terms are considered "further restrictions" within the meaning of section 10. If the Program as you received it, or any part of it, contains a notice stating that it is governed by this License along with a term that is a further restriction, you may remove that term. If a license document contains a further restriction but permits relicensing or conveying under this License, you may add to a covered work material governed by the terms of that license document, provided that the further restriction does not survive such relicensing or conveying. If you add terms to a covered work in accord with this section, you must place, in the relevant source files, a statement of the additional terms that apply to those files, or a notice indicating where to find the applicable terms. Additional terms, permissive or non-permissive, may be stated in the form of a separately written license, or stated as exceptions; the above requirements apply either way. 8. 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Moreover, your license from a particular copyright holder is reinstated permanently if the copyright holder notifies you of the violation by some reasonable means, this is the first time you have received notice of violation of this License (for any work) from that copyright holder, and you cure the violation prior to 30 days after your receipt of the notice. Termination of your rights under this section does not terminate the licenses of parties who have received copies or rights from you under this License. If your rights have been terminated and not permanently reinstated, you do not qualify to receive new licenses for the same material under section 10. 9. Acceptance Not Required for Having Copies. You are not required to accept this License in order to receive or run a copy of the Program. Ancillary propagation of a covered work occurring solely as a consequence of using peer-to-peer transmission to receive a copy likewise does not require acceptance. However, nothing other than this License grants you permission to propagate or modify any covered work. These actions infringe copyright if you do not accept this License. Therefore, by modifying or propagating a covered work, you indicate your acceptance of this License to do so. 10. Automatic Licensing of Downstream Recipients. Each time you convey a covered work, the recipient automatically receives a license from the original licensors, to run, modify and propagate that work, subject to this License. You are not responsible for enforcing compliance by third parties with this License. An "entity transaction" is a transaction transferring control of an organization, or substantially all assets of one, or subdividing an organization, or merging organizations. If propagation of a covered work results from an entity transaction, each party to that transaction who receives a copy of the work also receives whatever licenses to the work the party's predecessor in interest had or could give under the previous paragraph, plus a right to possession of the Corresponding Source of the work from the predecessor in interest, if the predecessor has it or can get it with reasonable efforts. You may not impose any further restrictions on the exercise of the rights granted or affirmed under this License. For example, you may not impose a license fee, royalty, or other charge for exercise of rights granted under this License, and you may not initiate litigation (including a cross-claim or counterclaim in a lawsuit) alleging that any patent claim is infringed by making, using, selling, offering for sale, or importing the Program or any portion of it. 11. Patents. A "contributor" is a copyright holder who authorizes use under this License of the Program or a work on which the Program is based. The work thus licensed is called the contributor's "contributor version". A contributor's "essential patent claims" are all patent claims owned or controlled by the contributor, whether already acquired or hereafter acquired, that would be infringed by some manner, permitted by this License, of making, using, or selling its contributor version, but do not include claims that would be infringed only as a consequence of further modification of the contributor version. For purposes of this definition, "control" includes the right to grant patent sublicenses in a manner consistent with the requirements of this License. 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You may not convey a covered work if you are a party to an arrangement with a third party that is in the business of distributing software, under which you make payment to the third party based on the extent of your activity of conveying the work, and under which the third party grants, to any of the parties who would receive the covered work from you, a discriminatory patent license (a) in connection with copies of the covered work conveyed by you (or copies made from those copies), or (b) primarily for and in connection with specific products or compilations that contain the covered work, unless you entered into that arrangement, or that patent license was granted, prior to 28 March 2007. Nothing in this License shall be construed as excluding or limiting any implied license or other defenses to infringement that may otherwise be available to you under applicable patent law. 12. No Surrender of Others' Freedom. If conditions are imposed on you (whether by court order, agreement or otherwise) that contradict the conditions of this License, they do not excuse you from the conditions of this License. If you cannot convey a covered work so as to satisfy simultaneously your obligations under this License and any other pertinent obligations, then as a consequence you may not convey it at all. For example, if you agree to terms that obligate you to collect a royalty for further conveying from those to whom you convey the Program, the only way you could satisfy both those terms and this License would be to refrain entirely from conveying the Program. 13. Use with the GNU Affero General Public License. Notwithstanding any other provision of this License, you have permission to link or combine any covered work with a work licensed under version 3 of the GNU Affero General Public License into a single combined work, and to convey the resulting work. The terms of this License will continue to apply to the part which is the covered work, but the special requirements of the GNU Affero General Public License, section 13, concerning interaction through a network will apply to the combination as such. 14. Revised Versions of this License. The Free Software Foundation may publish revised and/or new versions of the GNU General Public License from time to time. Such new versions will be similar in spirit to the present version, but may differ in detail to address new problems or concerns. Each version is given a distinguishing version number. If the Program specifies that a certain numbered version of the GNU General Public License "or any later version" applies to it, you have the option of following the terms and conditions either of that numbered version or of any later version published by the Free Software Foundation. If the Program does not specify a version number of the GNU General Public License, you may choose any version ever published by the Free Software Foundation. If the Program specifies that a proxy can decide which future versions of the GNU General Public License can be used, that proxy's public statement of acceptance of a version permanently authorizes you to choose that version for the Program. Later license versions may give you additional or different permissions. However, no additional obligations are imposed on any author or copyright holder as a result of your choosing to follow a later version. 15. Disclaimer of Warranty. THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF ALL NECESSARY SERVICING, REPAIR OR CORRECTION. 16. Limitation of Liability. IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. 17. Interpretation of Sections 15 and 16. If the disclaimer of warranty and limitation of liability provided above cannot be given local legal effect according to their terms, reviewing courts shall apply local law that most closely approximates an absolute waiver of all civil liability in connection with the Program, unless a warranty or assumption of liability accompanies a copy of the Program in return for a fee. END OF TERMS AND CONDITIONS How to Apply These Terms to Your New Programs If you develop a new program, and you want it to be of the greatest possible use to the public, the best way to achieve this is to make it free software which everyone can redistribute and change under these terms. To do so, attach the following notices to the program. It is safest to attach them to the start of each source file to most effectively state the exclusion of warranty; and each file should have at least the "copyright" line and a pointer to where the full notice is found. Copyright (C) This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see . Also add information on how to contact you by electronic and paper mail. If the program does terminal interaction, make it output a short notice like this when it starts in an interactive mode: Copyright (C) This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. This is free software, and you are welcome to redistribute it under certain conditions; type `show c' for details. The hypothetical commands `show w' and `show c' should show the appropriate parts of the General Public License. Of course, your program's commands might be different; for a GUI interface, you would use an "about box". You should also get your employer (if you work as a programmer) or school, if any, to sign a "copyright disclaimer" for the program, if necessary. For more information on this, and how to apply and follow the GNU GPL, see . The GNU General Public License does not permit incorporating your program into proprietary programs. If your program is a subroutine library, you may consider it more useful to permit linking proprietary applications with the library. If this is what you want to do, use the GNU Lesser General Public License instead of this License. But first, please read . 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