flask-sqlalchemy
Newman
flask-sqlalchemy | Newman | |
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11 | 245 | |
4,152 | 6,719 | |
0.4% | 0.4% | |
7.9 | 7.5 | |
6 days ago | 11 days ago | |
Python | JavaScript | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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flask-sqlalchemy
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Voting webapp saves votes locally, but not on server
You should probably use a database for this, using something like sqlite a single file "database" is probably the quickest way to get started, I recommend you use it with Flask-SQLAlchemy which makes working with the db easy as pie.
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How to build an API using Flask
Flask-SQLAlchemy: An extension that integrates SQLAlchemy with Flask. You can install it using pip install flask-sqlalchemy.
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How to dynamically generate graphics and PDFs using Python an jinja
flask-sqlalchemy: ORM for database access
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pagination in flask
I've made several runs at stripping the essential paginating functionality of flask-sqlalchemy for use with things like lists. That's where I'd start.
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Connect Flask APP to Two Already Existing Tables in two distinct databases
You can either use an ORM, which might be sqlalchemy, possibly wrapped up as a flask plugin https://flask-sqlalchemy.palletsprojects.com/ or more directly: https://www.sqlalchemy.org/
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Methods for dynamically loading test db data
You can learn more about this approach and see an example is this Flask-SQLAlchemy PR.
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Usage of Restful API + Database with Flask
Flask SQL Alchemy
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I built an Image Search Engine using OpenAI CLIP and Images from Wikimedia
I used for this project Flask and OpenAI CLIP. For the vector search I used approximate nearest neighbors provided by spotify/annoy. I used Flask-SQLAlchemy with GeoAlchemy2 to query GPS coordinates. The embedding was done using UMAP using the CLIP image vectors.
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I uninstalled an reinstalled sqalalchemy to get the latest version. Now my flask app won't work.
This appears to be this: https://github.com/pallets/flask-sqlalchemy/issues/910
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Problem with circular imports and app context
from sqlalchemy.engine.reflection import Inspector from sqlalchemy.schema import DropConstraint, DropTable, MetaData, Table from extensions import db # from dotmap import DotMap def try_add(object): """ Try to add the column 'object' to its table in the database and return it. """ try: db.session.add(object) db.session.commit() return object except Exception: db.session.rollback() raise def drop_all_cascade(): """(On a live db) drops all foreign key constraints before dropping all tables. Workaround for SQLAlchemy not doing DROP ## CASCADE for drop_all() (https://github.com/pallets/flask-sqlalchemy/issues/722) """ con = db.engine.connect() trans = con.begin() inspector = Inspector.from_engine(db.engine) # We need to re-create a minimal metadata with only the required things to # successfully emit drop constraints and tables commands for postgres # (based on the actual schema of the running instance) meta = MetaData() tables = [] all_fkeys = [] for table_name in inspector.get_table_names(): fkeys = [] for fkey in inspector.get_foreign_keys(table_name): if not fkey["name"]: continue fkeys.append(db.ForeignKeyConstraint((), (), name=fkey["name"])) tables.append(Table(table_name, meta, *fkeys)) all_fkeys.extend(fkeys) for fkey in all_fkeys: con.execute(DropConstraint(fkey)) for table in tables: con.execute(DropTable(table)) trans.commit()
Newman
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Data API for Amazon Aurora Serverless v2 with AWS SDK for Java - Part 6 Comparing cold and warm starts between Data API and JDBC
The results of the experiments to retrieve the existing product from the database with all approaches by its id with Lambda functions with 1024 MB memory setting were based on reproducing more than 100 cold and approximately 10.000 warm starts with experiment which ran for approximately 1 hour. For it (and experiments from my previous article) I used the load test tool hey, but you can use whatever tool you want, like Serverless-artillery or Postman. We won't enable SnapStart on the Lambda functions first.
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How to Add Firebase Authentication To Your NodeJS App
There are several testing approaches you can take to ascertain the functionality of the auth API. One way would be to automate the testing using unit tests with tools like Jest and Supertest. Alternatively, you can make use of API clients like Postman or the Thunder Client VS Code extension to test the API.
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Leveraging Zoom WebSockets with Postman for Real-Time Interactivity - POSTCON 2024
I'm excited to be speaking at POSTCON, where I will dive into the world of real-time data using Zoom's innovative WebSockets. We'll seamlessly test these functionalities with the help of POSTMAN. This session is designed to give you a glimpse into how we at Zoom are enhancing the real-time capabilities of our platform to ensure faster, more reliable communication. During this session, we'll explore the limitations with Webhooks and why WebSockets are becoming a preferable alternative for real-time, bi-directional communication.
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Spring Boot 3 application on AWS Lambda - Part 4 Measuring cold and warm starts with AWS Serverless Java Container
The results of the experiment below were based on reproducing more than 100 cold and approximately 100.000 warm starts with Lambda function with 1024 MB memory setting for the duration of 1 hour. For it I used the load test tool hey, but you can use whatever tool you want, like Serverless-artillery or Postman.
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API Inspection Best Practices: Ensuring API Gateway Stability and Efficiency
Testing Tools: Select suitable automated testing tools, such as OWASP Zap and Postman, for security and functionality testing.
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Software Engineering Workflow
Postman - API platform for easy endpoint testing
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Data API for Amazon Aurora Serverless v2 with AWS SDK for Java - Part 5 Basic cold and warm starts measurements
The results of the experiment to retrieve the existing product from the database by its id see GetProductByIdViaAuroraServerlessV2DataApiHandler with Lambda function with 1024 MB memory setting were based on reproducing more than 100 cold and approximately 10.000 warm starts with experiment which ran for approximately 1 hour. For it (and experiments from my previous article) I used the load test tool hey, but you can use whatever tool you want, like Serverless-artillery or Postman. We won't enable SnapStart on the Lambda function first.
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Building a RESTful API with Node.js and Express
Use tools like Postman or Insomnia to test the API endpoints and ensure they behave as expected.
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Guide on authenticating requests with the REST API
Products are available on our Strapi server. We need to be able to send HTTP requests that will allow clients or users to perform CRUD operations on these product resources. Postman will be our tool for making requests to the Strapi REST API.
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Make your Azure OpenAI apps compliant with RBAC
We will be performing all of the authentication requests manually, however for testing purposes, you might want to use an API testing tool such as Postman or Insomnia.
What are some alternatives?
flask-sqlacodegen - :sake: Automatic model code generator for SQLAlchemy with Flask support
postman-to-k6 - Converts Postman collections to k6 script code
sqlalchemy-hana - SQLAlchemy Dialect for SAP HANA
Swagger Client - Javascript library to connect to swagger-enabled APIs via browser or nodejs
sqlalchemy-filters-plus - Lightweight library for providing filtering mechanism for your APIs using SQLAlchemy
breeze.js - Breeze for JavaScript clients
geoalchemy2 - Geospatial extension to SQLAlchemy
oauth-signature-js - JavaScript OAuth 1.0a signature generator (RFC 5849) for node and the browser
flask-file-upload - Easy file uploads for Flask.
bottleneck - Job scheduler and rate limiter, supports Clustering
graphql-sqlalchemy - Generate GraphQL Schemas from your SQLAlchemy models
SWR - React Hooks for Data Fetching