Files
OneForAll-mirror/common/records.py
T
Jing Ling 685d9ff5d2 typos
2020-09-16 00:48:41 +08:00

365 lines
11 KiB
Python

import os
from sys import stdout
from collections import OrderedDict
from contextlib import contextmanager
from inspect import isclass
from .tablib import tablib
from sqlalchemy import create_engine, exc, inspect, text
DATABASE_URL = os.environ.get('DATABASE_URL')
def is_exception(obj):
"""Given an object, return a boolean indicating whether it is an instance
or subclass of :py:class:`Exception`.
"""
if isinstance(obj, Exception):
return True
if isclass(obj) and issubclass(obj, Exception):
return True
return False
class Record(object):
"""A row, from a query, from a database."""
__slots__ = ('_keys', '_values')
def __init__(self, keys, values):
self._keys = keys
self._values = values
# Ensure that lengths match properly.
assert len(self._keys) == len(self._values)
def keys(self):
"""Returns the list of column names from the query."""
return self._keys
def values(self):
"""Returns the list of values from the query."""
return self._values
def __repr__(self):
return '<Record {}>'.format(self.export('json')[1:-1])
def __getitem__(self, key):
# Support for index-based lookup.
if isinstance(key, int):
return self.values()[key]
# Support for string-based lookup.
if key in self.keys():
i = self.keys().index(key)
if self.keys().count(key) > 1:
raise KeyError("Record contains multiple '{}' fields.".format(key))
return self.values()[i]
raise KeyError("Record contains no '{}' field.".format(key))
def __getattr__(self, key):
try:
return self[key]
except KeyError as e:
raise AttributeError(e)
def __dir__(self):
standard = dir(super(Record, self))
# Merge standard attrs with generated ones (from column names).
return sorted(standard + [str(k) for k in self.keys()])
def get(self, key, default=None):
"""Returns the value for a given key, or default."""
try:
return self[key]
except KeyError:
return default
def as_dict(self, ordered=False):
"""Returns the row as a dictionary, as ordered."""
items = zip(self.keys(), self.values())
return OrderedDict(items) if ordered else dict(items)
@property
def dataset(self):
"""A Tablib Dataset containing the row."""
data = tablib.Dataset()
data.headers = self.keys()
row = _reduce_datetimes(self.values())
data.append(row)
return data
def export(self, format, **kwargs):
"""Exports the row to the given format."""
return self.dataset.export(format, **kwargs)
class RecordCollection(object):
"""A set of excellent Records from a query."""
def __init__(self, rows):
self._rows = rows
self._all_rows = []
self.pending = True
def __repr__(self):
return '<RecordCollection size={} pending={}>'.format(len(self), self.pending)
def __iter__(self):
"""Iterate over all rows, consuming the underlying generator
only when necessary."""
i = 0
while True:
# Other code may have iterated between yields,
# so always check the cache.
if i < len(self):
yield self[i]
else:
# Throws StopIteration when done.
# Prevent StopIteration bubbling from generator,
# following https://www.python.org/dev/peps/pep-0479/
try:
yield next(self)
except StopIteration:
return
i += 1
def next(self):
return self.__next__()
def __next__(self):
try:
nextrow = next(self._rows)
self._all_rows.append(nextrow)
return nextrow
except StopIteration:
self.pending = False
raise StopIteration('RecordCollection contains no more rows.')
def __getitem__(self, key):
is_int = isinstance(key, int)
# Convert RecordCollection[1] into slice.
if is_int:
key = slice(key, key + 1)
while len(self) < key.stop or key.stop is None:
try:
next(self)
except StopIteration:
break
rows = self._all_rows[key]
if is_int:
return rows[0]
else:
return RecordCollection(iter(rows))
def __len__(self):
return len(self._all_rows)
def export(self, format, **kwargs):
"""Export the RecordCollection to a given format (courtesy of Tablib)."""
return self.dataset.export(format, **kwargs)
@property
def dataset(self):
"""A Tablib Dataset representation of the RecordCollection."""
# Create a new Tablib Dataset.
data = tablib.Dataset()
# If the RecordCollection is empty, just return the empty set
# Check number of rows by typecasting to list
if len(list(self)) == 0:
return data
# Set the column names as headers on Tablib Dataset.
first = self[0]
data.headers = first.keys()
for row in self.all():
row = _reduce_datetimes(row.values())
data.append(row)
return data
def all(self, as_dict=False, as_ordereddict=False):
"""Returns a list of all rows for the RecordCollection. If they haven't
been fetched yet, consume the iterator and cache the results."""
# By calling list it calls the __iter__ method
rows = list(self)
if as_dict:
return [r.as_dict() for r in rows]
elif as_ordereddict:
return [r.as_dict(ordered=True) for r in rows]
return rows
def as_dict(self, ordered=False):
return self.all(as_dict=not (ordered), as_ordereddict=ordered)
def first(self, default=None, as_dict=False, as_ordereddict=False):
"""Returns a single record for the RecordCollection, or `default`. If
`default` is an instance or subclass of Exception, then raise it
instead of returning it."""
# Try to get a record, or return/raise default.
try:
record = self[0]
except IndexError:
if is_exception(default):
raise default
return default
# Cast and return.
if as_dict:
return record.as_dict()
elif as_ordereddict:
return record.as_dict(ordered=True)
else:
return record
def one(self, default=None, as_dict=False, as_ordereddict=False):
"""Returns a single record for the RecordCollection, ensuring that it
is the only record, or returns `default`. If `default` is an instance
or subclass of Exception, then raise it instead of returning it."""
# Ensure that we don't have more than one row.
try:
self[1]
except IndexError:
return self.first(default=default, as_dict=as_dict,
as_ordereddict=as_ordereddict)
else:
raise ValueError('RecordCollection contained more than one row. '
'Expects only one row when using '
'RecordCollection.one')
def scalar(self, default=None):
"""Returns the first column of the first row, or `default`."""
row = self.one()
return row[0] if row else default
class Database(object):
"""A Database. Encapsulates a url and an SQLAlchemy engine with a pool of
connections.
"""
def __init__(self, db_url=None, **kwargs):
# If no db_url was provided, fallback to $DATABASE_URL.
self.db_url = db_url or DATABASE_URL
if not self.db_url:
raise ValueError('You must provide a db_url.')
# Create an engine.
self._engine = create_engine(self.db_url, **kwargs)
self.open = True
def close(self):
"""Closes the Database."""
self._engine.dispose()
self.open = False
def __enter__(self):
return self
def __exit__(self, exc, val, traceback):
self.close()
def __repr__(self):
return '<Database open={}>'.format(self.open)
def get_table_names(self):
"""Returns a list of table names for the connected database."""
# Setup SQLAlchemy for Database inspection.
return inspect(self._engine).get_table_names()
def get_connection(self):
"""Get a connection to this Database. Connections are retrieved from a
pool.
"""
if not self.open:
raise exc.ResourceClosedError('Database closed.')
return Connection(self._engine.connect())
def query(self, query, fetchall=False, **params):
"""Executes the given SQL query against the Database. Parameters can,
optionally, be provided. Returns a RecordCollection, which can be
iterated over to get result rows as dictionaries.
"""
with self.get_connection() as conn:
return conn.query(query, fetchall, **params)
def bulk_query(self, query, *multiparams):
"""Bulk insert or update."""
with self.get_connection() as conn:
conn.bulk_query(query, *multiparams)
class Connection(object):
"""A Database connection."""
def __init__(self, connection):
self._conn = connection
self.open = not connection.closed
def close(self):
self._conn.close()
self.open = False
def __enter__(self):
return self
def __exit__(self, exc, val, traceback):
self.close()
def __repr__(self):
return '<Connection open={}>'.format(self.open)
def query(self, query, fetchall=False, **params):
"""Executes the given SQL query against the connected Database.
Parameters can, optionally, be provided. Returns a RecordCollection,
which can be iterated over to get result rows as dictionaries.
"""
# Execute the given query.
cursor = self._conn.execute(text(query), **params) # TODO: PARAMS GO HERE
# Row-by-row Record generator.
row_gen = (Record(cursor.keys(), row) for row in cursor)
# Convert psycopg2 results to RecordCollection.
results = RecordCollection(row_gen)
# Fetch all results if desired.
if fetchall:
results.all()
return results
def bulk_query(self, query, *multiparams):
"""Bulk insert or update."""
self._conn.execute(text(query), *multiparams)
def _reduce_datetimes(row):
"""Receives a row, converts datetimes to strings."""
row = list(row)
for i in range(len(row)):
if hasattr(row[i], 'isoformat'):
row[i] = row[i].isoformat()
return tuple(row)