So, what is the basic thing I can do to initialize my Django database with the data I have in external .json file.
I tried to upload through admin's page after running python manage.py runserver but there is no import options.
Why you would use a JSON file if you can to add a key in the database dictionary in the settings file?
For the case to use a json file,
config = open('./config.json',)
data = json.load(config)
Now use the data variable in the settings database dictionary
DATABASES = {
"default": data
}
I'm new to python, trying to learn and use Fastapi, Ariadne and SQLAlchemy. I'm following the docs and I'm stuck.
I have my dependency injection get_db() for normal REST requests, which provides a Session object, which I pass through few different modules from the request start until I actually do the db work, and honestly I don't get this design. But I left it there.
Then, another problem come up. How can I pass db to Ariadne GraphQL? Should I use context_value or are there any other options?
You need to create a session of SQLAlchemy from ariadne resolvers. And don't forget to close the connection after resolvers finished.
Let's say your database file like following,
import os
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
SQLALCHEMY_DATABASE_URL = os.getenv("DB_CONN_STRING")
engine = create_engine(SQLALCHEMY_DATABASE_URL)
LocalSession = sessionmaker(autocommit=False, autoflush=False, bind=engine)
def get_db():
db = None
try:
db = LocalSession()
yield db
finally:
if db:
db.close()
You can do like following on the resolvers
# Import the local session from local database file
from app.database import LocalSession
db = LocalSession()
# Do whatever you need to do
db.close()
In order to perform a migration, through commands flask db init and flask db migrate, I receive the following error: directory = current_app.extensions['migrate'].directory KeyError: 'migrate'.
I have created a Migrate object within my __init__.py file, however, still receive the error stated above:
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from config import app_config
from flask_login import LoginManager
from flask_migrate import Migrate
# Creating Flask app.
app = Flask(__name__)
# Database variable initialisation.
db = SQLAlchemy()
login_manager = LoginManager()
def create_app(config_name):
app = Flask(__name__, instance_relative_config=True)
app.config.from_object(app_config[config_name])
app.config.from_pyfile('config.py')
db.init_app(app)
# Creating login manager object and initialising it.
# Login view and message prevent a user to accessing a page they are not authorised to.
login_manager.init_app(app)
login_manager.login_message = "Please login to access this page."
login_manager.login_view = "auth.login"
migrate = Migrate(app, db)
from app import models
return app
Any advice for what I am doing wrong? I have already viewed quite a few pages related to this error and have implemented the possible alterations.
I found the problem. The above __init__.py class was completely fine.
My config.py file which contained the following code:
SQLALCHEMY_DATABASE_URI = 'mysql+mysqlconnector://{db_user}:{my_password}#localhost/{database}'
... had a format extension to it which was not needed. I have successfully updated my database.
I need to mount the azure file storage to Linux-Pools when they are being spun-up.I am following the instructions given here to achieve that: mounting Azure-File Storage to Batch Specically in my Azure CLI script under the Pools start commands I am inserting something which looks like this
--start-task-command-line="apt-get update && apt-get install cifs-utils && mkdir -p {} && mount -t cifs {} {} -o vers=3.0,username={},password={},dir_mode=0777,file_mode=0777,serverino".format(_COMPUTE_NODE_MOUNT_POINT, _STORAGE_ACCOUNT_SHARE_ENDPOINT, _COMPUTE_NODE_MOUNT_POINT, _STORAGE_ACCOUNT_NAME, _STORAGE_ACCOUNT_KEY)
but when I run the tasks with the auto-user that batch uses by default I get an error in the stderr.txt file mentioning that it was unable to create the "/mnt/MyAzureFileshare" directory and so my guess is the mounting didn't occur during the pool creation process.I saw a very similar question to the one I am facing:setting custom user identity for tasks and even the official Microsoft documentation goes over this in detail:Run Tasks under User accounts in Batch but none of them put a light on how to achieve this using Azure CLI.
In order to install specific packages so that Azure File Storage can be mounted requires sudo privileges and I am unable to do that through the Azure-CLI. In order to recreate the error I would recommend having a look at this:app to replicate the issue
What I want to achieve is:
1) Create a Pool with the Azure-File Storage mounted on it and elevate the privileges of the auto-user to the admin level using Azure CLI
2) Run tasks with the same auto-user with Admin Privileges using the azure CLI
Update 1:
I was able to mount Azure File Storage with Batch using the Azure CLI. I still am not able to populate the Azure File Storage with the output files of the app that I deployed on Batch Nodes.I have got no error in the stderr.txt files.
The output of the stderr.txt file is:
WARNING: In "login" auth mode, the following arguments are ignored: --account-key
Alive[################################################################] 100.0000%
Finished[#############################################################] 100.0000%
pdf--->png: 0%| | 0/1 [00:00<?, ?it/s]
pdf--->png: 100%|##########| 1/1 [00:00<00:00, 1.16it/s]WARNING: In "login" auth mode, the following arguments are ignored: --account-key
WARNING: uploading /mnt/batch/tasks/workitems/pdf-processing-job-2018-10-29-15-36-15/job-1/mytask-0/wd/png_files-2018-10-29-15-39-25/akronbeaconjournal_20180108_AkronBeaconJournal_0___page---0.png
Alive[################################################################] 100.0000%
Finished[#############################################################] 100.0000%
The Python App that was deployed on the Batch Nodes is:
import os
import fitz
import subprocess
import argparse
import time
from tqdm import tqdm
import sentry_sdk
import sys
import datetime
def azure_active_directory_login(azure_username,azure_password,azure_tenant):
try:
azure_login_output=subprocess.check_output(["az","login","--service-principal","--username",azure_username,"--password",azure_password,"--tenant",azure_tenant])
except subprocess.CalledProcessError:
sentry_sdk.capture_message("Invalid Azure Login Credentials")
sys.exit("Invalid Azure Login Credentials")
def download_from_azure_blob(azure_storage_account,azure_storage_account_key,input_azure_container,file_to_process,pdf_docs_path):
file_to_download=os.path.join(input_azure_container,file_to_process)
try:
subprocess.check_output(["az","storage","blob","download","--container-name",input_azure_container,"--file",os.path.join(pdf_docs_path,file_to_process),"--name",file_to_process,"--account-key",azure_storage_account_key,\
"--account-name",azure_storage_account,"--auth-mode","login"])
except subprocess.CalledProcessError:
sentry_sdk.capture_message("unable to download the pdf file")
sys.exit("unable to download the pdf file")
def pdf_to_png(input_folder_path,output_folder_path):
pdf_files=[x for x in os.listdir(input_folder_path) if x.endswith((".pdf",".PDF"))]
pdf_files.sort()
for pdf in tqdm(pdf_files,desc="pdf--->png"):
doc=fitz.open(os.path.join(input_folder_path,pdf))
page_count=doc.pageCount
for f in range(page_count):
page=doc.loadPage(f)
pix = page.getPixmap()
if pdf.endswith(".pdf"):
png_filename=pdf.split(".pdf")[0]+"___"+"page---"+str(f)+".png"
pix.writePNG(os.path.join(output_folder_path,png_filename))
elif pdf.endswith(".PDF"):
png_filename=pdf.split(".PDF")[0]+"___"+"page---"+str(f)+".png"
pix.writePNG(os.path.join(output_folder_path,png_filename))
def upload_to_azure_blob(azure_storage_account,azure_storage_account_key,output_azure_container,png_docs_path):
try:
subprocess.check_output(["az","storage","blob","upload-batch","--destination",output_azure_container,"--source",png_docs_path,"--account-key",azure_storage_account_key,\
"--account-name",azure_storage_account,"--auth-mode","login"])
except subprocess.CalledProcessError:
sentry_sdk.capture_message("Unable to upload file to the container")
def upload_to_fileshare(png_docs_path):
try:
subprocess.check_output(["cp","-r",png_docs_path,"/mnt/MyAzureFileShare/"])
except subprocess.CalledProcessError:
sentry_sdk.capture_message("unable to upload to azure file share ")
if __name__=="__main__":
#Credentials
sentry_sdk.init("<Sentry Creds>")
azure_username=<azure_username>
azure_password=<azure_password>
azure_tenant=<azure_tenant>
azure_storage_account=<azure_storage_account>
azure_storage_account_key=<azure_account_key>
try:
parser = argparse.ArgumentParser()
parser.add_argument("input_azure_container",type=str,help="Location to download files from")
parser.add_argument("output_azure_container",type=str,help="Location to upload files to")
parser.add_argument("file_to_process",type=str,help="file link in azure blob storage")
args = parser.parse_args()
timestamp = time.time()
timestamp_humanreadable= datetime.datetime.fromtimestamp(timestamp).strftime('%Y-%m-%d-%H-%M-%S')
task_working_dir=os.getcwd()
file_to_process=args.file_to_process
input_azure_container=args.input_azure_container
output_azure_container=args.output_azure_container
pdf_docs_path=os.path.join(task_working_dir,"pdf_files"+"-"+timestamp_humanreadable)
png_docs_path=os.path.join(task_working_dir,"png_files"+"-"+timestamp_humanreadable)
os.mkdir(pdf_docs_path)
os.mkdir(png_docs_path)
except Exception as e:
sentry_sdk.capture_exception(e)
azure_active_directory_login(azure_username,azure_password,azure_tenant)
download_from_azure_blob(azure_storage_account,azure_storage_account_key,input_azure_container,file_to_process,pdf_docs_path)
pdf_to_png(pdf_docs_path,png_docs_path)
upload_to_azure_blob(azure_storage_account,azure_storage_account_key,output_azure_container,png_docs_path)
upload_to_fileshare(png_docs_path)
The upload_to_fileshare() in the python app above should initiate the upload but in my case nothing happens and there is no error in the copy operation in the stderr.txt files
Please let me know a way to troubleshoot this issue
It does not look like the run elevated parameter is exposed via a command line argument through the CLI. You can however specify a JSON file to the --json argument formatted as the REST API object to get all functionalities.
I'm looking at a way to integrate Alembic with SQLAlchemy. What I need is a way so that Alembic detects any changes I make in models.py automatically and updates it in the MySQL database when I run alembic revision -m "<message_here>" and alembic upgrade head.
Here is what I have at the moment.
This is my application directory structure.
/myapplication
models.py
__init__.py
app.py
/migrations
env.py
script.py.mako
/versions
The models.py contains the following.
from sqlalchemy import Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
Base = declarative_base()
class User(Base):
""" `User` stores the basic info about a user
"""
__tablename__ = 'user'
id = Column(Integer, primary_key=True)
name = Column(String(255), nullable=False)
phone = Column(String(15), nullable=False)
I have configured my alembic.ini with my database credentials at sqlalchemy.url
I have the following in my env.py
from __future__ import with_statement
from alembic import context
from sqlalchemy import engine_from_config, pool
from logging.config import fileConfig
from myapplication import models
# this is the Alembic Config object, which provides
# access to the values within the .ini file in use.
config = context.config
# Interpret the config file for Python logging.
# This line sets up loggers basically.
fileConfig(config.config_file_name)
# add your model's MetaData object here
# for 'autogenerate' support
# from myapp import mymodel
# target_metadata = mymodel.Base.metadata
target_metadata = models.Base.metadata
# other values from the config, defined by the needs of env.py,
# can be acquired:
# my_important_option = config.get_main_option("my_important_option")
# ... etc.
def run_migrations_offline():
"""Run migrations in 'offline' mode.
This configures the context with just a URL
and not an Engine, though an Engine is acceptable
here as well. By skipping the Engine creation
we don't even need a DBAPI to be available.
Calls to context.execute() here emit the given string to the
script output.
"""
url = config.get_main_option("sqlalchemy.url")
context.configure(url=url)
with context.begin_transaction():
context.run_migrations()
def run_migrations_online():
"""Run migrations in 'online' mode.
In this scenario we need to create an Engine
and associate a connection with the context.
"""
engine = engine_from_config(
config.get_section(config.config_ini_section),
prefix='sqlalchemy.',
poolclass=pool.NullPool)
connection = engine.connect()
context.configure(
connection=connection,
target_metadata=target_metadata
)
try:
with context.begin_transaction():
context.run_migrations()
finally:
connection.close()
if context.is_offline_mode():
run_migrations_offline()
else:
run_migrations_online()
But when the run the migration using
alembic revision -m "initial"
It says
Generating
migrations/versions/2d9d8de1aa80_initial.py...done
But when I open the migrations/versions/9aa5864e4c8_initial.py, this is what I see.
"""initial
Revision ID: 2d9d8de1aa80
Revises: None
Create Date: 2013-02-23 12:21:52.389906
"""
# revision identifiers, used by Alembic.
revision = '2d9d8de1aa80'
down_revision = None
from alembic import op
import sqlalchemy as sa
def upgrade():
pass
def downgrade():
pass
The version file has nothing about the tables I was expecting it to create and later sync with MySQL when I run the command alembic upgrade head. How do I configure Alembic so that when I run the alembic revision command, It picks the schema from models.py and generates a version file? I think I am missing something trivial here. Not sure what it is!
You want to run the revision subcommand with the --autogenerate flag so it inspects the models for changes.
alembic revision --autogenerate -m "some message"
Make sure you're aware of the limitations of the autogenerate option.