epure 0.2.16

purest architecture

Epure

Epure is python agnostic ORM - you can store and retrieve data having no idea about database, table and columns. All technical details hidden from you. Care only about your business logic.

Supported databases

Postgres: yes ✔️ Oracle: no ❌

Installing

Install and update using pip:

$ pip install -U epure

Install and update using poetry:

$ poetry add epure

Connecting Epure to database

# import connection functions from Epure
from epure import GresDb
from epure import connect

# Classic way to connect database to epure

# Format of string to connect ('database://user:password@host:port')
GresDb('postgres://postgres:postgres@localhost:5432',
log_level=3).connect()

# Alternative way of connection

db = GresDb('postgres://postgres:postgres@localhost:32', 
# host="localhost", 
port="5432", 
# database="postgres", 
# user="postgres", 
password="postgres",
log_level=3) # log_level defines level of description of opertaions
db.connect() #  with DB written in auto-generated file epure_db.log

A Simple Example

⚠️ In order to save attributes of class to db, type hints is required! ⚠️ Create example class with Epure, create instance of it and read it from DB.

# save this as epure_example.py
# --------------------------------
# import epure class decorator
from epure import epure
# different types hints avalible
import types
from typing import List, Dict, Tuple, Callable

# ⚠️ In order to save attributes of class to db, type hints is required! ⚠️ 

# decorate class by @epure() wrap function
@epure()
class Example:
    int_attr:int 
    bool_attr:bool
    float_attr:float
    str_attr:str
    range_attr:range
    complex_attr:complex
    list_attr:list
    generic_list_attr:List[int]
    dict_attr:Dict[int, str]
    str_attr_with_default_val:str = 'example_str' # with default val 'example_str'
    epure_cls_attr:SomeEpureCls # field that contains another epure class
    NoneType_attr:types.NoneType

# creating instance of epurized Example class
obj = Example()

# assigning vals to instance
obj.int_attr = 1
obj.str_attr = "example"
obj.list_attr = [1,2,3,4]

# saving obj instance to database
obj.save()

# saved instance has attribute of node_id that is unique
node_id = epure.node_id # -> UUID4

# node_id is used to search epure objects and retrive them from DB via read() method, returns list of list with object(s)
res = epure.table.read(node_id=node_id) # -> list[list[epure_object]]

Read from table method variations

1. Read by kwargs:

Use keyword arguments to select records with specified fields

# node_id is UUID type id used to search epure objects and 
# retrive them from DB via read() method, returns list of list with object(s)
res = epure.table.read(node_id=node_id) # -> list[list[epure_object]]

# find objects with several keyword args
res = epure.table.read(int3=6, str3="str3_value") # -> list[list[epure_object(s)]]

2. Read by lambda function:

Use python lambda function to select records with certain conditions and to use joins

# tp is table proxy of Example table cls, dbp is database proxy of all tables
# when lambda is used tp and dbp will be assumed as table proxy and db proxy of Example class
res = Example.resource.read(lambda tp, dbp: 
    [tp.float_attr, tp.range_attr, tp.epure_cls_attr, dbp['example'].node_id,
    
    dbp['example'] << (tp.epure_cls_attr == dbp['example'].node_id # "<<" is a join operator
    | tp.generic_list0 == dbp['example'].generic_list_attr) ^

    tp.str_attr == 'str3_value' 
    & (tp.int_attr > 3 | tp.float_attr < 0.8)

    ^dbp['another_table'] << tp.epure_class1 == dbp['another_table'].node_id
    ]
) # -> list[list[epure_object]]

3. Read by @ (at/matmul) sign:

@ (at/matmul) is used in query as header query delimeter

exmpl_db_proxy = Example.resource.resource_proxy['example']
an_ex_db_proxy = Example.resource.resource_proxy['another_table']

#Example A
Example.resource.read(exmpl_db_proxy @ int_attr > 12) # -> list[list[epure_objects]]

#Example B
#   exmpl_db_proxy.str_attr is a query header
Example.resource.read(exmpl_db_proxy.str_attr @ exmpl_db_proxy.str_attr == an_ex_db_proxy.str2 | exmpl_db_proxy.int1 == an_ex_db_proxy.int0 % 3 & 5 == an_ex_db_proxy.int3 | (an_ex_db_proxy.int2 > an_ex_db_proxy.int7)) # -> list[list[epure_objects]]

4. Read by sql query:

#   use your query to select epure obj from db
Example.resource.read('select * from example where int = 42') # -> list[list[epure_objects]]

Avalible operators in query

1. equals "=="

Example.resource.read(int_attr == 12)

2. and "&"

Example.resource.read(int_attr == 12 & str_attr == "cute doge")

3. or "|"

Example.resource.read(int_attr == 12 | str_attr == "cute doge")

4. more ">" / less "<"

Example.resource.read(int_attr > 12 | float_attr < 8.31)

5. in: gte(greater than or equals) ">=" /lte(less than or equals) "<="

Gte and Lte operators are used as "in" sql operator in cases when operands are:

One of operands is table proxy and other is a tuple or an subquery:

# tuple
Example.resource.read(int_attr >= (12, 24)) # int_attr in (12, 24)

# subquery
Example.resource.read(int_attr >= (exmpl_db_proxy @ int_attr > 2)) # int_attr in subquery

In any other case >= operator functions as normal gte operator, like for int:

# tuple
Example.resource.read(int_attr >= 12) # int_attr more or equals 12 

6. like "%" (modulo)

% operator is used as "like" sql operator in cases when operands are:

If left operand is a table proxy and right op is a string

Example.resource.read(exmpl_db_proxy.string_attr % '%a%') # this % will be treated as 'like' op

in any other case % will be treated like regular modulo

Example.resource.read(exmpl_db_proxy.int_attr % 3) # this % will be treated as regular modulo

7. not "!=" (ne) (in development)

</code></pre>
<h4>8. join << / >> (bit shift) (in development)</h4>
<pre lang="python"><code>Example.resource.read(another_table_proxy << x. == y.f4 ^ x.f1 == y.f2 & 5 == x.f5 | x.f6 == y.f7)

Developers

Nikita Umarov (Pichugin), Pavel Pichugin

Links

• Documentation: https://github.com/nagvalhm/epure/blob/main/README.md
• Changes: https://github.com/nagvalhm/epure
• PyPI Releases: https://pypi.org/project/epure/
• Source Code: https://github.com/nagvalhm/epure
• Issue Tracker: https://github.com/nagvalhm/epure/issues
• Website: https://pypi.org/project/epure/