purest architecture
Project description
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]]
Save epure instance
in development
Update epure instance
@epure()
class Example:
int_attr:int
ex = Example()
ex.int_attr = 42
ex.save()
ex.int_attr = 60
ex.save() # If instance of epure already has node_id attr, the next save() will be treated as update
res = ex.table.read(node_id=ex.node_id)[0][0]
res.int_attr # -> 60
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/
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