relational/relational/relation.py
Salvo 'LtWorf' Tomaselli ea1d5f9752
Load json without casting
It will avoid json stuff cast as string.

It is a workaround for this https://github.com/ltworf/typedload/pull/140

But anyway cast is not needed so it is fine to disable it.
2020-08-26 21:16:36 +02:00

490 lines
17 KiB
Python
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

# Relational
# Copyright (C) 2008-2020 Salvo "LtWorf" Tomaselli
#
# Relational 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 <http://www.gnu.org/licenses/>.
#
# author Salvo "LtWorf" Tomaselli <tiposchi@tiscali.it>
#
# This module provides a classes to represent relations and to perform
# relational operations on them.
from itertools import chain, repeat, product as iproduct
from collections import deque
from typing import FrozenSet, Iterable, List, Dict, Tuple, Optional
from dataclasses import dataclass
from pathlib import Path
from relational.rtypes import *
__all__ = [
'Relation',
'Header',
]
@dataclass(repr=True, unsafe_hash=False, frozen=True)
class Relation:
'''
This object defines a relation (as a group of consistent tuples) and operations.
A relation is a particular kind of set, which has a number of named attributes and
a number of tuples, which must express a value for every attribute.
Set operations like union, intersection and difference are restricted and can only be
performed on relations which share the same set of named attributes.
The constructor optionally accepts a filename and then it will load the relation from
that file.
If no parameter is supplied an empty relation is created.
Files need to be comma separated as described in RFC4180.
The first line need to contain the attributes of the relation while the
following lines contain the tuples of the relation.
An empty relation needs a header, and can be filled using the insert()
method.
'''
header: 'Header'
content: FrozenSet[Tuple[CastValue, ...]]
@staticmethod
def load_csv(filename: Union[str, Path]) -> 'Relation':
'''
Load a relation object from a csv file.
The 1st row is the header and the other rows are the content.
Types will be inferred automatically
'''
import csv
with open(filename) as fp:
reader = csv.reader(fp) # Creating a csv reader
header = Header(next(reader)) # read 1st line
return Relation.create_from(header, reader)
@staticmethod
def load(filename: Union[str, Path]) -> 'Relation':
'''
Load a relation object from a json file.
'''
with open(filename) as fp:
from json import load as jload
from typedload import load
loaded = jload(fp)
header = Header(loaded['header'])
content = []
for row in loaded['content']:
if len(row) != len(header):
raise ValueError(f'Line {row} contains an incorrect amount of values')
t_row: Tuple[Optional[Union[int, float, str, Rdate]], ...] = load(
row,
Tuple[Optional[Union[int, float, str, Rdate]], ...], # type: ignore
basiccast=False
)
content.append(t_row)
return Relation(header, frozenset(content))
def save(self, filename: Union[Path, str]) -> None:
'''
Saves the relation in a file.
Will save using the json format
'''
with open(filename, 'w') as fp:
from json import dump as jdump
from typedload import dump
jdump(dump(self), fp)
def save_csv(self, filename: Union[Path, str]) -> None:
'''
Saves the relation in a file. Will save using the csv
format as defined in RFC4180.
'''
import csv
with open(filename, 'w') as fp:
writer = csv.writer(fp) # Creating csv writer
# It wants an iterable containing iterables
head = (self.header,)
writer.writerows(head)
# Writing content, already in the correct format
writer.writerows(self.content)
@staticmethod
def create_from(header: Iterable[str], content: Iterable[List[str]]) -> 'Relation':
'''
Iterator for the header, and iterator for the content.
This will infer types.
'''
header = Header(header)
r_content = []
guessed_types = list(repeat({Rdate, float, int, str}, len(header)))
for row in content:
if len(row) != len(header):
raise ValueError(f'Line {row} contains an incorrect amount of values')
r_content.append(row)
# Guess types
for i, value in enumerate(row):
guessed_types[i] = guessed_types[i].intersection(guess_type(value))
typed_content = []
for r in r_content:
t = tuple(cast(v, guessed_types[i]) for i, v in enumerate(r))
typed_content.append(t)
return Relation(header, frozenset(typed_content))
def __iter__(self):
return iter(self.content)
def __contains__(self, key):
return key in self.content
def _rearrange(self, other: 'Relation') -> 'Relation':
'''If two relations share the same attributes in a different order, this method
will use projection to make them have the same attributes' order.
It is not exactely related to relational algebra. Just a method used
internally.
Will raise an exception if they don't share the same attributes'''
if not isinstance(other, Relation):
raise TypeError('Expected an instance of the same class')
elif self.header == other.header:
return other
elif len(self.header) == len(other.header) and self.header.sharedAttributes(other.header) == len(self.header):
return other.projection(self.header)
raise TypeError('Relations differ: [%s] [%s]' % (
','.join(self.header), ','.join(other.header)
))
def selection(self, expr: str) -> 'Relation':
'''
Selection, expr must be a valid Python expression; can contain field names.
'''
try:
c_expr = compile(expr, 'selection', 'eval')
except:
raise Exception(f'Failed to compile expression: {expr}')
content = []
for i in self.content:
# Fills the attributes dictionary with the values of the tuple
attributes = {attr: i[j]
for j, attr in enumerate(self.header)
}
try:
if eval(c_expr, attributes):
content.append(i)
except Exception as e:
raise Exception(f'Failed to evaluate {expr} with {attributes}\n{e}')
return Relation(self.header, frozenset(content))
def product(self, other: 'Relation') -> 'Relation':
'''
Cartesian product. Attributes of the relations must differ.
'''
if (not isinstance(other, Relation)):
raise Exception('Operand must be a relation')
if self.header.sharedAttributes(other.header) != 0:
raise Exception(
'Unable to perform product on relations with colliding attributes'
)
header = Header(self.header + other.header)
content = frozenset(i+j for i, j in iproduct(self.content, other.content))
return Relation(header, content)
def projection(self, *attributes) -> 'Relation':
'''
Can be called in two different ways:
a.projection('field1','field2')
or
a.projection(['field1','field2'])
The cardinality of the result, might be less than the cardinality
of the original object.
'''
# Parameters are supplied in a list, instead with multiple parameters
if not isinstance(attributes[0], str):
attributes = attributes[0]
ids = self.header.getAttributesId(attributes)
if len(ids) == 0:
raise Exception('Invalid attributes for projection')
header = Header((self.header[i] for i in ids))
content = frozenset(tuple((i[j] for j in ids)) for i in self.content)
return Relation(header, content)
def rename(self, params: Dict[str, str]) -> 'Relation':
'''
Takes a dictionary.
Will replace the field name as the key with its value.
For example if you want to rename a to b, call
rel.rename({'a':'b'})
'''
header = self.header.rename(params)
return Relation(header, self.content)
def intersection(self, other: 'Relation') -> 'Relation':
'''
Intersection operation. The result will contain items present in both
operands.
Will return an empty one if there are no common items.
'''
other = self._rearrange(other) # Rearranges attributes' order
return Relation(self.header, self.content.intersection(other.content))
def difference(self, other: 'Relation') -> 'Relation':
'''Difference operation. The result will contain items present in first
operand but not in second one.
'''
other = self._rearrange(other) # Rearranges attributes' order
return Relation(self.header, self.content.difference(other.content))
def division(self, other: 'Relation') -> 'Relation':
'''Division operator
The division is a binary operation that is written as R ÷ S. The
result consists of the restrictions of tuples in R to the
attribute names unique to R, i.e., in the header of R but not in the
header of S, for which it holds that all their combinations with tuples
in S are present in R.
'''
# d_headers are the headers from self that aren't also headers in other
d_headers = tuple(set(self.header) - set(other.header))
# Wikipedia defines the division as follows:
# a1,....,an are the d_headers
# T := πa1,...,an(R) × S
# U := T - R
# V := πa1,...,an(U)
# W := πa1,...,an(R) - V
# W is the result that we want
t = self.projection(d_headers).product(other)
return self.projection(d_headers).difference(t.difference(self).projection(d_headers))
def union(self, other: 'Relation') -> 'Relation':
'''Union operation. The result will contain items present in first
and second operands.
'''
other = self._rearrange(other) # Rearranges attributes' order
return Relation(self.header, self.content.union(other.content))
def thetajoin(self, other: 'Relation', expr: str) -> 'Relation':
'''Defined as product and then selection with the given expression.'''
return self.product(other).selection(expr)
def outer(self, other: 'Relation') -> 'Relation':
'''Does a left and a right outer join and returns their union.'''
a = self.outer_right(other)
b = self.outer_left(other)
return a.union(b)
def outer_right(self, other: 'Relation') -> 'Relation':
'''
Outer right join. Considers self as left and param as right. If the
tuple has no corrispondence, empy attributes are filled with a None.
Just like natural join, it works considering shared attributes.
'''
return other.outer_left(self)
def outer_left(self, other: 'Relation', swap=False) -> 'Relation':
'''
See documentation for outer_right
'''
shared = self.header.intersection(other.header)
# Creating the header with all the fields, done like that because order is
# needed
h = (i for i in other.header if i not in shared)
header = Header(chain(self.header, h))
# Shared ids of self
sid = self.header.getAttributesId(shared)
# Shared ids of the other relation
oid = other.header.getAttributesId(shared)
# Non shared ids of the other relation
noid = [i for i in range(len(other.header)) if i not in oid]
content = []
for i in self.content:
# Tuple partecipated to the join?
added = False
for j in other.content:
match = True
for k in range(len(sid)):
match = match and (i[sid[k]] == j[oid[k]])
if match:
item = chain(i, (j[l] for l in noid))
content.append(tuple(item))
added = True
# If it didn't partecipate, adds it
if not added:
item = chain(i, repeat(None, len(noid)))
content.append(tuple(item))
return Relation(header, frozenset(content))
def join(self, other: 'Relation') -> 'Relation':
'''
Natural join, joins on shared attributes (one or more). If there are no
shared attributes, it will behave as the cartesian product.
'''
# List of attributes in common between the relations
shared = self.header.intersection(other.header)
# Creating the header with all the fields, done like that because order is
# needed
h = (i for i in other.header if i not in shared)
header = Header(chain(self.header, h))
# Shared ids of self
sid = self.header.getAttributesId(shared)
# Shared ids of the other relation
oid = other.header.getAttributesId(shared)
# Non shared ids of the other relation
noid = [i for i in range(len(other.header)) if i not in oid]
content = []
for i in self.content:
for j in other.content:
match = True
for k in range(len(sid)):
match = match and (i[sid[k]] == j[oid[k]])
if match:
item = chain(i, (j[l] for l in noid))
content.append(tuple(item))
return Relation(header, frozenset(content))
def __eq__(self, other):
if not isinstance(other, Relation):
return False
if len(self.content) != len(other.content):
return False
if set(self.header) != set(other.header):
return False
# Rearranges attributes' order so can compare tuples directly
other = self._rearrange(other)
# comparing content
return self.content == other.content
def __len__(self):
return len(self.content)
def __str__(self):
m_len = [len(i) for i in self.header] # Maximum lenght string
for f in self.content:
for col, i in enumerate(str(val) for val in f):
if len(i) > m_len[col]:
m_len[col] = len(i)
res = ""
for f, attr in enumerate(self.header):
res += attr.ljust(2 + m_len[f])
for r in self.content:
res += "\n"
for col, i in enumerate(str(val) for val in r):
res += i.ljust(2 + m_len[col])
return res
class Header(tuple):
'''This class defines the header of a relation.
It is used within relations to know if requested operations are accepted'''
def __new__(cls, fields):
return super(Header, cls).__new__(cls, tuple(fields))
def __init__(self, *args, **kwargs):
'''Accepts a list with attributes' names. Names MUST be unique'''
for i in self:
if not is_valid_relation_name(i):
raise Exception(f'"{i}" is not a valid attribute name')
if len(self) != len(set(self)):
raise Exception('Attribute names must be unique')
def __repr__(self):
return "Header(%s)" % super(Header, self).__repr__()
def rename(self, params: Dict[str, str]) -> 'Header':
'''Returns a new header, with renamed fields.
params is a dictionary of {old:new} names
'''
attrs = list(self)
for old, new in params.items():
if not is_valid_relation_name(new):
raise Exception(f'{new} is not a valid attribute name')
try:
id_ = attrs.index(old)
attrs[id_] = new
except:
raise Exception(f'Field not found: {old}')
return Header(attrs)
def sharedAttributes(self, other: 'Header') -> int:
'''Returns how many attributes this header has in common with a given one'''
return len(set(self).intersection(set(other)))
def union(self, other: 'Header') -> Set[str]:
'''Returns the union of the sets of attributes with another header.'''
return set(self).union(set(other))
def intersection(self, other: 'Header') -> Set[str]:
'''Returns the set of common attributes with another header.'''
return set(self).intersection(set(other))
def getAttributesId(self, param: Iterable[str]) -> List[int]:
'''Returns a list with numeric index corresponding to field's name'''
try:
return [self.index(i) for i in param]
except ValueError as e:
raise Exception('One of the fields is not in the relation: %s' % ','.join(param))