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|
%global _empty_manifest_terminate_build 0
Name: python-Flask-Seeder
Version: 1.2.0
Release: 1
Summary: Flask extension to seed database through scripts
License: MIT
URL: https://github.com/diddi-/flask-seeder
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/1b/cf/d6167af60d6222d2898dca238a787ce47ce22a8afce41e5f1cf1023a31c3/Flask-Seeder-1.2.0.tar.gz
BuildArch: noarch
Requires: python3-Flask
%description
# Flask-Seeder
[](https://travis-ci.org/diddi-/flask-seeder)
[](https://coveralls.io/github/diddi-/flask-seeder?branch=master)
Flask-Seeder is a Flask extension to help with seeding database with initial data, for example when deploying an application for the first time.
This extensions primary focus is to help populating data once, for example in a demo application where the database might get wiped over and over but you still want users to have some basic data to play around with.
# Installation
```
pip install Flask-Seeder
```
This will install the Flask-Seeder extension and add a `flask seed` subcommand, check it out to see what arguments are supported!
# Seeders
Flask-Seeder provides a base class `Seeder` that holds a database handle.
By subclassing `Seeder` and implementing a `run()` method you get access to the database handle object and can start seeding the database with data.
All seeders must be somewhere in the `seeds/` directory and inherit from `Seeder` or else they won't be detected.
When all seeders have completed (successfully or not), Flask-Seeder will by default commit all changes to the database. This behaviour can be overridden with `--no-commit` or setting environment variable `FLASK_SEEDER_AUTOCOMMIT=0`.
## Run Order
When splitting seeders across multiple classes and files, order of operations is determined by two factors.
First the seeders are grouped by `priority` (lower priority will be run first), all seeders with the same priority
are then ordered by class name.
See example below for setting priority on a seeder.
```python
from flask_seeder import Seeder
class DemoSeeder(Seeder):
def __init__(self, db=None):
super().__init__(db=db)
self.priority = 10
def run(self):
...
```
# Faker and Generators
Flask-Seeder provides a `Faker` class that controls the creation of fake objects, based on real models. By telling `Faker` how to create the objects, you can easily create many different unique objects to help when seeding the database.
There are different generators that help generate values for the fake objects.
Currently supported generators are:
* Integer: Create a random integer between two values
* UUID: Create a random UUID
* Sequence: Create integers in sequence if called multiple times
* Name: Create a random name from a list `data/names/names.txt`
* Email: Create a random email, a combination of the random name generator and a domain from `data/domains/domains.txt`
* String: String generation from a pattern
Feel free to roll your own generator by subclassing `Generator` and implement a `generate()` method that return the generated value.
## String generator pattern
The `String` generator takes a pattern and produces a string that matches the pattern.
Currently the generator pattern is very simple and supports only a handful of operations.
| Pattern | Produces | Description | Example |
| --| -- | -- | -- |
| [abc] | String character | Randomly select one of the provided characters | `b` |
| [a-k] | String character | Randomly select one character from a range | `i` |
| \c | String character | Randomly select any alpha character (a-z, A-Z) | `B` |
| (one\|two) | String group | Like `[abc]` but works for strings, not just single characters | `one` |
| \d | Digit | Randomly select a single digit (0-9) | `8` |
| {x} | Repeater | Repeat the previous pattern `x` times | `\d{5}` |
| {m,n} | Repeater | Repeat the previous pattern `x` times where `x` is anywhere between `m` and `n` | `[0-9]{2,8}` |
| abc | String literal | No processing, returned as is | `abc` |
Patterns can also be combined to produce more complex strings.
```
# Produces something like: abc5586oz
abc[5-9]{4}\c[xyz]
```
# Example usage
Examples show only relevant snippets of code
**app.py:**
```python
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from flask_seeder import FlaskSeeder
def create_app():
app = Flask(__name__)
db = SQLAlchemy()
db.init_app(app)
seeder = FlaskSeeder()
seeder.init_app(app, db)
return app
```
**seeds/demo.py:**
```python
from flask_seeder import Seeder, Faker, generator
# SQLAlchemy database model
class User(Base):
def __init__(self, id_num=None, name=None, age=None):
self.id_num = id_num
self.name = name
self.age = age
def __str__(self):
return "ID=%d, Name=%s, Age=%d" % (self.id_num, self.name, self.age)
# All seeders inherit from Seeder
class DemoSeeder(Seeder):
# run() will be called by Flask-Seeder
def run(self):
# Create a new Faker and tell it how to create User objects
faker = Faker(
cls=User,
init={
"id_num": generator.Sequence(),
"name": generator.Name(),
"age": generator.Integer(start=20, end=100)
}
)
# Create 5 users
for user in faker.create(5):
print("Adding user: %s" % user)
self.db.session.add(user)
```
***Shell***
```bash
$ flask seed run
Running database seeders
Adding user: ID=1, Name=Fancie, Age=76
Adding user: ID=2, Name=Shela, Age=22
Adding user: ID=3, Name=Jo, Age=33
Adding user: ID=4, Name=Laureen, Age=54
Adding user: ID=5, Name=Tandy, Age=66
DemoSeeder... [OK]
Committing to database!
```
%package -n python3-Flask-Seeder
Summary: Flask extension to seed database through scripts
Provides: python-Flask-Seeder
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-Flask-Seeder
# Flask-Seeder
[](https://travis-ci.org/diddi-/flask-seeder)
[](https://coveralls.io/github/diddi-/flask-seeder?branch=master)
Flask-Seeder is a Flask extension to help with seeding database with initial data, for example when deploying an application for the first time.
This extensions primary focus is to help populating data once, for example in a demo application where the database might get wiped over and over but you still want users to have some basic data to play around with.
# Installation
```
pip install Flask-Seeder
```
This will install the Flask-Seeder extension and add a `flask seed` subcommand, check it out to see what arguments are supported!
# Seeders
Flask-Seeder provides a base class `Seeder` that holds a database handle.
By subclassing `Seeder` and implementing a `run()` method you get access to the database handle object and can start seeding the database with data.
All seeders must be somewhere in the `seeds/` directory and inherit from `Seeder` or else they won't be detected.
When all seeders have completed (successfully or not), Flask-Seeder will by default commit all changes to the database. This behaviour can be overridden with `--no-commit` or setting environment variable `FLASK_SEEDER_AUTOCOMMIT=0`.
## Run Order
When splitting seeders across multiple classes and files, order of operations is determined by two factors.
First the seeders are grouped by `priority` (lower priority will be run first), all seeders with the same priority
are then ordered by class name.
See example below for setting priority on a seeder.
```python
from flask_seeder import Seeder
class DemoSeeder(Seeder):
def __init__(self, db=None):
super().__init__(db=db)
self.priority = 10
def run(self):
...
```
# Faker and Generators
Flask-Seeder provides a `Faker` class that controls the creation of fake objects, based on real models. By telling `Faker` how to create the objects, you can easily create many different unique objects to help when seeding the database.
There are different generators that help generate values for the fake objects.
Currently supported generators are:
* Integer: Create a random integer between two values
* UUID: Create a random UUID
* Sequence: Create integers in sequence if called multiple times
* Name: Create a random name from a list `data/names/names.txt`
* Email: Create a random email, a combination of the random name generator and a domain from `data/domains/domains.txt`
* String: String generation from a pattern
Feel free to roll your own generator by subclassing `Generator` and implement a `generate()` method that return the generated value.
## String generator pattern
The `String` generator takes a pattern and produces a string that matches the pattern.
Currently the generator pattern is very simple and supports only a handful of operations.
| Pattern | Produces | Description | Example |
| --| -- | -- | -- |
| [abc] | String character | Randomly select one of the provided characters | `b` |
| [a-k] | String character | Randomly select one character from a range | `i` |
| \c | String character | Randomly select any alpha character (a-z, A-Z) | `B` |
| (one\|two) | String group | Like `[abc]` but works for strings, not just single characters | `one` |
| \d | Digit | Randomly select a single digit (0-9) | `8` |
| {x} | Repeater | Repeat the previous pattern `x` times | `\d{5}` |
| {m,n} | Repeater | Repeat the previous pattern `x` times where `x` is anywhere between `m` and `n` | `[0-9]{2,8}` |
| abc | String literal | No processing, returned as is | `abc` |
Patterns can also be combined to produce more complex strings.
```
# Produces something like: abc5586oz
abc[5-9]{4}\c[xyz]
```
# Example usage
Examples show only relevant snippets of code
**app.py:**
```python
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from flask_seeder import FlaskSeeder
def create_app():
app = Flask(__name__)
db = SQLAlchemy()
db.init_app(app)
seeder = FlaskSeeder()
seeder.init_app(app, db)
return app
```
**seeds/demo.py:**
```python
from flask_seeder import Seeder, Faker, generator
# SQLAlchemy database model
class User(Base):
def __init__(self, id_num=None, name=None, age=None):
self.id_num = id_num
self.name = name
self.age = age
def __str__(self):
return "ID=%d, Name=%s, Age=%d" % (self.id_num, self.name, self.age)
# All seeders inherit from Seeder
class DemoSeeder(Seeder):
# run() will be called by Flask-Seeder
def run(self):
# Create a new Faker and tell it how to create User objects
faker = Faker(
cls=User,
init={
"id_num": generator.Sequence(),
"name": generator.Name(),
"age": generator.Integer(start=20, end=100)
}
)
# Create 5 users
for user in faker.create(5):
print("Adding user: %s" % user)
self.db.session.add(user)
```
***Shell***
```bash
$ flask seed run
Running database seeders
Adding user: ID=1, Name=Fancie, Age=76
Adding user: ID=2, Name=Shela, Age=22
Adding user: ID=3, Name=Jo, Age=33
Adding user: ID=4, Name=Laureen, Age=54
Adding user: ID=5, Name=Tandy, Age=66
DemoSeeder... [OK]
Committing to database!
```
%package help
Summary: Development documents and examples for Flask-Seeder
Provides: python3-Flask-Seeder-doc
%description help
# Flask-Seeder
[](https://travis-ci.org/diddi-/flask-seeder)
[](https://coveralls.io/github/diddi-/flask-seeder?branch=master)
Flask-Seeder is a Flask extension to help with seeding database with initial data, for example when deploying an application for the first time.
This extensions primary focus is to help populating data once, for example in a demo application where the database might get wiped over and over but you still want users to have some basic data to play around with.
# Installation
```
pip install Flask-Seeder
```
This will install the Flask-Seeder extension and add a `flask seed` subcommand, check it out to see what arguments are supported!
# Seeders
Flask-Seeder provides a base class `Seeder` that holds a database handle.
By subclassing `Seeder` and implementing a `run()` method you get access to the database handle object and can start seeding the database with data.
All seeders must be somewhere in the `seeds/` directory and inherit from `Seeder` or else they won't be detected.
When all seeders have completed (successfully or not), Flask-Seeder will by default commit all changes to the database. This behaviour can be overridden with `--no-commit` or setting environment variable `FLASK_SEEDER_AUTOCOMMIT=0`.
## Run Order
When splitting seeders across multiple classes and files, order of operations is determined by two factors.
First the seeders are grouped by `priority` (lower priority will be run first), all seeders with the same priority
are then ordered by class name.
See example below for setting priority on a seeder.
```python
from flask_seeder import Seeder
class DemoSeeder(Seeder):
def __init__(self, db=None):
super().__init__(db=db)
self.priority = 10
def run(self):
...
```
# Faker and Generators
Flask-Seeder provides a `Faker` class that controls the creation of fake objects, based on real models. By telling `Faker` how to create the objects, you can easily create many different unique objects to help when seeding the database.
There are different generators that help generate values for the fake objects.
Currently supported generators are:
* Integer: Create a random integer between two values
* UUID: Create a random UUID
* Sequence: Create integers in sequence if called multiple times
* Name: Create a random name from a list `data/names/names.txt`
* Email: Create a random email, a combination of the random name generator and a domain from `data/domains/domains.txt`
* String: String generation from a pattern
Feel free to roll your own generator by subclassing `Generator` and implement a `generate()` method that return the generated value.
## String generator pattern
The `String` generator takes a pattern and produces a string that matches the pattern.
Currently the generator pattern is very simple and supports only a handful of operations.
| Pattern | Produces | Description | Example |
| --| -- | -- | -- |
| [abc] | String character | Randomly select one of the provided characters | `b` |
| [a-k] | String character | Randomly select one character from a range | `i` |
| \c | String character | Randomly select any alpha character (a-z, A-Z) | `B` |
| (one\|two) | String group | Like `[abc]` but works for strings, not just single characters | `one` |
| \d | Digit | Randomly select a single digit (0-9) | `8` |
| {x} | Repeater | Repeat the previous pattern `x` times | `\d{5}` |
| {m,n} | Repeater | Repeat the previous pattern `x` times where `x` is anywhere between `m` and `n` | `[0-9]{2,8}` |
| abc | String literal | No processing, returned as is | `abc` |
Patterns can also be combined to produce more complex strings.
```
# Produces something like: abc5586oz
abc[5-9]{4}\c[xyz]
```
# Example usage
Examples show only relevant snippets of code
**app.py:**
```python
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from flask_seeder import FlaskSeeder
def create_app():
app = Flask(__name__)
db = SQLAlchemy()
db.init_app(app)
seeder = FlaskSeeder()
seeder.init_app(app, db)
return app
```
**seeds/demo.py:**
```python
from flask_seeder import Seeder, Faker, generator
# SQLAlchemy database model
class User(Base):
def __init__(self, id_num=None, name=None, age=None):
self.id_num = id_num
self.name = name
self.age = age
def __str__(self):
return "ID=%d, Name=%s, Age=%d" % (self.id_num, self.name, self.age)
# All seeders inherit from Seeder
class DemoSeeder(Seeder):
# run() will be called by Flask-Seeder
def run(self):
# Create a new Faker and tell it how to create User objects
faker = Faker(
cls=User,
init={
"id_num": generator.Sequence(),
"name": generator.Name(),
"age": generator.Integer(start=20, end=100)
}
)
# Create 5 users
for user in faker.create(5):
print("Adding user: %s" % user)
self.db.session.add(user)
```
***Shell***
```bash
$ flask seed run
Running database seeders
Adding user: ID=1, Name=Fancie, Age=76
Adding user: ID=2, Name=Shela, Age=22
Adding user: ID=3, Name=Jo, Age=33
Adding user: ID=4, Name=Laureen, Age=54
Adding user: ID=5, Name=Tandy, Age=66
DemoSeeder... [OK]
Committing to database!
```
%prep
%autosetup -n Flask-Seeder-1.2.0
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-Flask-Seeder -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 1.2.0-1
- Package Spec generated
|