sqlacodegen | Automatic model code generator for SQLAlchemy | SQL Database library
kandi X-RAY | sqlacodegen Summary
kandi X-RAY | sqlacodegen Summary
Automatic model code generator for SQLAlchemy
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Top functions reviewed by kandi - BETA
- Generates a list of models
- Generate a name for a model
- Collect migrations
- Generate a free name for a column attribute
- Render a relationship
- Render a callable callable
- Render a column attribute
- Returns whether the given constraint is used
- Render relationship
- Render relationship arguments
- Collect all imports for a model
- Adds literal imports for model
- Render model variables
- Collect imports
- Render a list of models
- Render a model class
- Render class variables for a model class
- Render a class declaration
- Collect imports for the given column
- Render model class variables
- Return the sort key for a constraint
- Adds model imports to the model
- Collect literal imports
sqlacodegen Key Features
sqlacodegen Examples and Code Snippets
Lines of Code : 56License : Permissive (MIT)
Copyimport uvicorn
from fastapi import FastAPI, Depends
from fastapi_quickcrud import CrudMethods
from fastapi_quickcrud import sqlalchemy_to_pydantic
from fastapi_quickcrud.misc.memory_sql import sync_memory_db
from sqlalchemy import CHAR, Column, Inte # models.__init__.py
from flask_sqlalchemy import SQLAlchemy
from common.utils import import_to_context
# global db
db = SQLAlchemy()
# 注意这里目的在于导入models目录下所有的python文件中的模型，
import_to_context('models', locals())
# user.py
from . import db class t_aus_postmeta(db.Model):
"""
post_id: Order ID
meta_key: Type of value (client name, billing address)
meta_value: Value of meta_key (Name or address itself)
"""
__tablename__ = 'aus_postmeta'
import sqlalchemy as sa
connection_uri = "postgresql+psycopg2://scott:tiger@192.168.0.199/mydb"
engine = sa.create_engine(connection_uri)
insp = sa.inspect(engine)
for table_entry in reversed(insp.get_sorted_table_and_fkc_names()):
tpip freeze | findstr "sqlacodegen"
py --version
git clone https://github.com/ksindi/flask-sqlacodegen.git
cd flask-sqlacodegen/
python setup.py install
--schema [your_schema_name]
pip install sqlacodegen
pip install flask-sqlacodegen
sqlacodegen sqlite:///data-dev.sqlite --flask > models.py
def create_app():
app = Flask(__name__)
app.config.from_object('co# Assume that there are about 600,000 rows in the TestTable
rows = session.query(TestTable).filter(TestTable.is_use.is_(True))
yield_rows = session.query(TestTable).filter(TestTable.is_use.is_(True)).yield_per(200)
@timer
def print_rows(rowVersion = Column(TIMESTAMP(), default=text('DEFAULT'))
usrmst = relationship('Usrmst', foreign_keys=[workgrp_owner])
import json
def tablerepr(self):
return "<{}: ({})>".format(self.__table__,
json.dumps(
Community Discussions
Trending Discussions on sqlacodegen
QUESTION
I'm developing an API with Flask and I cannot retrieve queries from a MySQL database I've connected with flask-sqlalchemy (not sqlalchemy alone). This is a pre-existing database downloaded from my client's PHPMyAdmin, so I haven't ran db.create_all(): I simply created the connection string in config.py, then instantiated db = SQLAchemy() and initialized it (db.init_app(app)) in my factory function (i'm using the factory pattern together with blueprints).
I've already checked and my computer is running the mysql process, the login credentials provided are correct and the database exists in my computer. I'm using MariaDB because I run Manjaro Linux.
This is the connection string, located in config.py:
ANSWER
Answered 2022-Jan-31 at 21:21I don't think that's the right way to create your model. Instead you should create it as a class, which will inherit from db.Model, that contains your query_by method.
QUESTION
I have a project that worked on ubuntu 16.04 with python 3.6 but now we are trying to make it run on ubuntu 20.04 with same python version. I need to install all requirements on the venv and apparently its only mysqlclient==1.3.12 that fails.
Went through lots of articles on stackoverflow but none of them seem to solve the problem.
Error for pip3 install mysqlclient==1.3.12
...ANSWER
Answered 2021-Oct-01 at 14:15You're using old mysqlclient 1.3.12 with new MySQL 8. Either you need to downgrade MySQL to version 5.6. Or you need to use later mysqlclient.
The incompatibility was fixed in commit a2ebbd2 on Dec 21, 2017 so you need a later version of mysqlclient.
mysqlclient 1.3.13 was released on Jun 27, 2018. Try it or any later version.
QUESTION
Currently I am trying to setup sqlalchemy orm with sql server express
The code below works with no issues and outputs correctly:
...ANSWER
Answered 2021-Sep-19 at 21:56The answer lies in the escape sequence in the CLI before 'SQLEXPRESS'
Before
QUESTION
I am trying to install the SQLACodegen package and its dependencies (inflect, setuptools-scm) from source, in an offline environment. Specifically, I have an Anaconda 2020.07 install using Python 3.8, on a Red Hat Enterprise Linux 7 system.
I have the Anaconda bin directory prepended to PATH, and I install using python -m pip install whatever.tar.gz. Yes, I know it's a sin to use pip over conda like this. It just so happens that this is the easier way about things when installing upstream packages and I've never had an issue installing many other packages before now.
The problem is that pip is trying to go out to the internet to download and install setuptools. The strange part is that setuptools is already installed and meets the version requirements of the package. Even when I specify pip flags such as --no-index -f /path/to/packages, it still fails to detect the installed setuptools and tries to pull it from somewhere.
Example output:
...ANSWER
Answered 2021-May-19 at 14:13You need to add the install option --no-build-isolation when installing from source and you want to tell Pip to make use of already installed packages to satisfy the build dependencies. Emphasis on build dependencies.
The most common build dependencies, according to PEP 518, are setuptools and wheel. So much so that, as the "minimum requirements for the build system to execute", build tools are expected to add them tacitly to a build configuration.
When installing a new package from source, packages in the Python environment are ignored as far as build dependencies are concerned. As the Pip documentation explains:
When making build requirements available, pip does so in an isolated environment. That is, pip does not install those requirements into the user’s
site-packages, but rather installs them in a temporary directory which it adds to the user’ssys.pathfor the duration of the build. This ensures that build requirements are handled independently of the user’s runtime environment. For example, a project that needs a recent version of setuptools to build can still be installed, even if the user has an older version installed (and without silently replacing that version).
In your example, that temporary directory seems to be /tmp/pip-build-env/r61p50oe. Instead of the --no-build-isolation option, you could also add the source packages of setuptools and wheel (possibly more, depending on the package you're installing) to the local folder specified via the -f/--find-links option.
QUESTION
I'm try to run flask-sqlacodegen on my command line, but i keep getting this error:
ANSWER
Answered 2020-Jul-20 at 19:41It could be that it installed it to a different directory than where your PYTHONPATH points to, i.e. the package itself is not present in .../lib/python3.x/site-packages where your PYTHONPATH points to.
You can check that like so on your cmd line for windows( apply relevant cmd for your OS)
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install sqlacodegen
You can use sqlacodegen like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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