Skip to main content
# Algen

Algen generates opionated ORM classes for sqlalchemy given a simple schema
either as a commandline string or as a yaml file. It is designed to have
minimal dependencies and is trivially extensible. A command line tool
is bundled along to help generate the models. For DB specific types,
only postgres is currently supported. The tool currently assumes that
sqlalchemy's declarative base object is to be imported like
```from .alchemy_base import Base```
The library prefers making the code verbose rather than concise for the
sake of having better auto-completion and help from your editor/IDE
e.g. first style is preferred to the second one:
```python
def update(self, a=None, b=None):
if a is not None:
self.a = a
if b is not None:
self.b = b
```
```python
def update(self, **kwargs):
for k,v in kwargs.items():
if hasattr(self, k) and v is not None:
setattr(self, k, v)
```


### CLI
```bash
$ algen --help
Usage: algen [OPTIONS]

Options:
-n, --name TEXT Name of model
-c, --columns TEXT Column definition. e.g. col_name:col_type Can be
used multiple times hence named columns. e.g. -c
foo:Int -c bar:Unicode(20)
-d, --destination PATH Destination directory. Default will assume 'models'
directory inside the current working directory
-y, --yaml PATH Yaml file describing the Model. This supersedes the
column definition provided through --columns option.
--help Show this message and exit.
```

Given a file as follows:
```yaml
Person:
columns:
- name: id
type: BigInteger
primary_key: True
auto_increment: True
- name: name
type: Unicode(255)
- name: is_vip
type: Boolean
- name: created_at
type: DateTime(timezone=True)
server_default: now() at time zone 'utc'
- name: updated_at
type: DateTime(timezone=True)
server_default: now() at time zone 'utc'
relationships:
- name: addresses
class: Address
back_populates: 'person'

Address:
columns:
- name: id
type: BigInteger
primary_key: True
auto_increment: True
- name: line1
type: Unicode()
- name: line2
type: Unicode()
- name: line3
type: Unicode()
- name: postcode
type: Unicode(10)
index: True
- name: created_at
type: DateTime(timezone=True)
server_default: now() at time zone 'utc'
- name: updated_at
type: DateTime(timezone=True)
server_default: now() at time zone 'utc'
foreign_keys:
- name: person_id
type: BigInteger
reference:
table: persons
column: id
nullable: False
relationships:
- name: person
class: Person
back_populates: 'addresses'

```

The cli tool will create two the following two files ```person.py``` and ```address.py```.

```python
from __future__ import unicode_literals, absolute_import, print_function

from collections import namedtuple

from sqlalchemy import Column, Unicode, BigInteger, DateTime, ForeignKey
from sqlalchemy.orm import relationship


from .alchemy_base import Base

__author__ = 'danishabdullah'


class Address(Base):
__tablename__ = 'addresses'

id = Column(BigInteger, auto_increment=True, primary_key=True)
line1 = Column(Unicode(), )
line2 = Column(Unicode(), )
line3 = Column(Unicode(), )
postcode = Column(Unicode(10), index=True)
created_at = Column(DateTime(timezone=True), server_default="now() at time zone 'utc'")
updated_at = Column(DateTime(timezone=True), server_default="now() at time zone 'utc'")

# --- Foreign Keys ---
person_id = Column(BigInteger, ForeignKey('persons.id'), nullable=False)

# --- Relationships ---
person = relationship('Person', back_populates='addresses')

def __init__(self, id=None, line1=None, line2=None, line3=None, postcode=None, created_at=None, updated_at=None, person_id=None):
self.id = id
self.line1 = line1
self.line2 = line2
self.line3 = line3
self.postcode = postcode
self.created_at = created_at
self.updated_at = updated_at
self.person_id = person_id

def add(self, session):
session.add(self)

def update(self, line1=None, line2=None, line3=None, postcode=None, created_at=None, updated_at=None, person_id=None):
# This function only updates a value if it is not None.
# Falsy values go through in the normal way.
# To set things to None use the usual syntax:
# Address.column_name = None

if line1 is not None:
self.line1 = line1

if line2 is not None:
self.line2 = line2

if line3 is not None:
self.line3 = line3

if postcode is not None:
self.postcode = postcode

if created_at is not None:
self.created_at = created_at

if updated_at is not None:
self.updated_at = updated_at

if person_id is not None:
self.person_id = person_id

def delete(self, session):
session.delete(self)

def to_dict(self):
return {x: y for x, y in self.__dict__.items() if not x.startswith("_sa")}

def get_proxy_cls(self):
# AddressProxy is useful when you want to persist data
# independent of the sqlalchemy session. It's just a namedtuple
# that has very low memory/cpu footprint compared the regular
# orm class instances.
keys = self.to_dict().keys()
name = "AddressProxy"
return namedtuple(name, keys)

def to_proxy(self):
# Proxy-ing is useful when you want to persist data
# independent of the sqlalchemy session. It's just a namedtuple
# that has very low memory/cpu footprint compared the regular
# orm class instances.
cls = self._get_proxy_cls()
return cls(**self.to_dict())

@classmethod
def from_proxy(cls, proxy):
return cls(**proxy._asdict())

def __hash__(self):
return hash(str(self.id))

def __eq__(self, other):
return (self.id == other.id)

def __neq__(self, other):
return not (self.id == other.id)

def __str__(self):
return "<Address: {id}>".format(id=self.id)

def __unicode__(self):
return "<Address: {id}>".format(id=self.id)

def __repr__(self):
return "<Address: {id}>".format(id=self.id)

```

```python
from __future__ import unicode_literals, absolute_import, print_function

from collections import namedtuple

from sqlalchemy import Column, Unicode, BigInteger, Boolean, DateTime
from sqlalchemy.orm import relationship


from .alchemy_base import Base

__author__ = 'danishabdullah'


class Person(Base):
__tablename__ = 'persons'

id = Column(BigInteger, auto_increment=True, primary_key=True)
name = Column(Unicode(255), )
is_vip = Column(Boolean, )
created_at = Column(DateTime(timezone=True), server_default="now() at time zone 'utc'")
updated_at = Column(DateTime(timezone=True), server_default="now() at time zone 'utc'")

# --- Foreign Keys ---


# --- Relationships ---
addresses = relationship('Address', back_populates='person')

def __init__(self, id=None, name=None, is_vip=None, created_at=None, updated_at=None):
self.id = id
self.name = name
self.is_vip = is_vip
self.created_at = created_at
self.updated_at = updated_at

def add(self, session):
session.add(self)

def update(self, name=None, is_vip=None, created_at=None, updated_at=None):
# This function only updates a value if it is not None.
# Falsy values go through in the normal way.
# To set things to None use the usual syntax:
# Person.column_name = None

if name is not None:
self.name = name

if is_vip is not None:
self.is_vip = is_vip

if created_at is not None:
self.created_at = created_at

if updated_at is not None:
self.updated_at = updated_at

def delete(self, session):
session.delete(self)

def to_dict(self):
return {x: y for x, y in self.__dict__.items() if not x.startswith("_sa")}

def get_proxy_cls(self):
# PersonProxy is useful when you want to persist data
# independent of the sqlalchemy session. It's just a namedtuple
# that has very low memory/cpu footprint compared the regular
# orm class instances.
keys = self.to_dict().keys()
name = "PersonProxy"
return namedtuple(name, keys)

def to_proxy(self):
# Proxy-ing is useful when you want to persist data
# independent of the sqlalchemy session. It's just a namedtuple
# that has very low memory/cpu footprint compared the regular
# orm class instances.
cls = self._get_proxy_cls()
return cls(**self.to_dict())

@classmethod
def from_proxy(cls, proxy):
return cls(**proxy._asdict())

def __hash__(self):
return hash(str(self.id))

def __eq__(self, other):
return (self.id == other.id)

def __neq__(self, other):
return not (self.id == other.id)

def __str__(self):
return "<Person: {id}>".format(id=self.id)

def __unicode__(self):
return "<Person: {id}>".format(id=self.id)

def __repr__(self):
return "<Person: {id}>".format(id=self.id)

```

Metadata

Release files for algen 1.0.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for algen 1.0.3
File Size Uploaded Provenance
algen-1.0.3.tar.gz 14.1 kB Without provenance Details

Release files / algen-1.0.3.tar.gz

Download URL algen-1.0.3.tar.gz
Size 14.1 kB
Tags Source
SHA-256 checksum
How to use checksums
2ab4b0169e45cc637a81c4dc6be0d6d4dbd495461effa3cb8a9a217a4290bfb3
BLAKE2b-256 checksum
How to use checksums
a290d9a0dac1e2c094ce29090077124926f08cce15df7370355f705942e4ce18
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via Python-urllib/3.7

Security for algen 1.0.3

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page