alchemy | Experiments logging & visualization | Machine Learning library
kandi X-RAY | alchemy Summary
kandi X-RAY | alchemy Summary
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Top functions reviewed by kandi - BETA
- Log a scalar value
- Dump obj to filename
- Validate a metric name
- Dump current batch
- Builds the distribution
- Load the alchemy version
- Print a status message
- Sends logs to logs_dir
- Dump headers json file
- Close the batch
- Load the Alchemy version
- Run the daemon
- Run the daemon
- Check if a process is running
- Load a JSON file
- Load the README file
- Load a requirements file
- Dump current process PID
alchemy Key Features
alchemy Examples and Code Snippets
Lines of Code : 18License : Strong Copyleft (CC BY-SA 4.0)
Copywith Session(engine) as session:
latest_subq = session.query(
Sample.id.label("sample_id"),
func.max(Process.date).label("latest_process")
).outerjoin(
Prosampair, Sample.id == Prosampair.sample_id
).out results = (
db.query(models.Portfolio)
.options(joinedload(models.Portfolio.stocks).joinedload(models.PortfolioStock.stock))
.all()
)
result_list = []
for portfolio in results:
result_dict = from sqlalchemy import insert, select
for row in insert_data:
stmt = insert(flows).values(
voyage_name=row['voyage_name'],
vessel_name=row['vessel_name'],
origin_country_id=select(country.c.id).where(country.c.default=lambda: random.choice(avatarImages)
import time
import mysql.connector
refreshTime = time.time() + 3600 # Set the refreshTime to the last connected time plus the time it will take to timeout
def refresh():
if time.time() > refreshTime:
DB = connector.connectdef add_volunteer_client_record(volunteer_id, **kwargs):
try:
volunteer_client = VolunteerClient(volunteer_id=volunteer_id, **kwargs)
db_session.add(volunteer_client)
db_session.flush()
volunteer_reportorder = Orders.query.filter(restaurant_id = restaurant_id).filter(id = 1).filter(order_status = "Status").all()
cond = and_(restaurant_id = restaurant_id, id = 1)
order = Orders.query.filter(or_(cond, order_status followed = Post.query.join(followers,(followers.c.followed_id == Post.user_id)).filter(followers.c.followed_id == self.id)
followed = Post.query.join(followers,(followers.c.followed_id == Post.user_id)).filter(follINSERT INTO SuperStore
SELECT * FROM [Sheet1$] IN "C:\Path\To\File.xlsx"'Excel 12.0 Macro;HDR=Yes'
Community Discussions
Trending Discussions on alchemy
QUESTION
I'm trying to make a complete copy of a Snowflake DB into PostgreSQL DB (every table/view, every row). I don't know the best way to go about accomplishing this. I've tried using a package called pipelinewise , but I could not get the access needed to convert a snowflake view to a postgreSQL table (it needs a unique id). Long story short it just would not work for me.
I've now moved on to using the snowflake-sqlalchemy package. So, I'm wondering what is the best way to just make a complete copy of the entire DB. Is it necessary to make a model for each table, because this is a big DB? I'm new to SQL alchemy in general, so I don't know exactly where to start. My guess is with reflections , but when I try the example below I'm not getting any results.
...ANSWER
Answered 2021-Jun-14 at 19:29Try this: I got it working on mine, but I have a few functions that I use for my sqlalchemy engine, so might not work as is:
QUESTION
I'm trying to perform bulk extracts/loads from Oracle to MySQL using cx_Oracle and SQL Alchemy.
I found this example online and it works well for most data types, but fails from Blob data types:
https://vbaoverall.com/transfer-data-from-oracle-to-mysql-using-sqlalchemy-python/
I have about 43 tables and about 12 of them have BLOB data types.
ANSWER
Answered 2021-Jun-09 at 18:11Thanks to @Gord Thompson, I found out I just needed to specify dtype=
QUESTION
I'm creating a Flask Blog using SQL-alchemy and Python. The blog is a blog for recipes where the users can rate the recipes. I get all the ratings to appear BUT I also want to get the average rating. I've tried this so far but I can't get it to work...
In my HTML:
...ANSWER
Answered 2021-Jun-03 at 10:56Two things,
First, all() will return list with single item in it, in such case you can use scalar() that will give you single value
QUESTION
I always use SQL or NoSQL databases in my project and at my job, but now I am asked to use an object-oriented DB. I don't even know for what reason I should do that. Despite this fact, I google for OODBMS in python and can't see any easy way to use this approach. Now I think, that django ORM (and flask sql alchemy) are the simplest way to construct databases.
So, I have two questions:
What are the main benefits of using OODBMS instead of, e.x., Django ORM?
Is there a simple way to use OODBMS in flask and django?
ANSWER
Answered 2021-May-28 at 11:15For question 1: OODBMS offers many benefits and to mention a few:
It provides greater consistency between the database and the programming language.
Doesn’t bother you with object–relational impedance mismatch.
It is a more expressive query language and it supports long durations/transactions.
It is also suitable for advanced database applications.
For question 2: ZODB is easier and simpler to use, Django is mostly good with ORM only.
QUESTION
I'm trying to use pytest-mock for mocking. This library is essentially a plugin/wrapper for mock and patch.
My problem is defined as:
I have an application (mymodule.py) that uses SQL Alchemy. Basically, there's a function that defines some objects from SQL Alchemy and returns a dictionary with those objects.
ANSWER
Answered 2021-May-21 at 18:37There is not much benefit to mocking some_function1 as it does nothing but establish a connection to the database. It doesn't take any input and all it returns is a dictionary pointing at a table and a connection. With respect to some_function2 we can just pass in multiple MagicMock's inside the db_tools argument and use configure_mock.
QUESTION
I am new to SQL Alchemy and need a way to run a script whenever a new entry is added to a table. I am currently using the following method to get the task done but I am sure there has to be a more efficient way.
I am using python 2 for my project and MS SQL as database.
Suppose my table is carData and I add a new row for car details from website. The new car data is added to carData. My code works as follows
...ANSWER
Answered 2021-May-21 at 07:37I believe the error you've described is a connectivity issue with the database e.g. a temporary network problem
OperationalError: TCP Provider: Error code 0x68
So what you need to do is cater this with error handling!
QUESTION
I'm developing a python application where most of its functions will interact (create, read, update and delete) with a specific table in a MySQL database. I know that I can query this specific table with the following code:
...ANSWER
Answered 2021-May-20 at 16:09If you are working with a single table then the reflected table instance (my_table) and the engine should be all you need to expose globally.
- the metadata object (
meta) not required for querying, but is available asmy_table.metadataif required - sessions are not required because you do not appear to be using the SQLAlchemy ORM.
The engine maintains a pool of connections, which you can check out to run queries (don't forget to close them though). This example code uses context managers to ensure that transactions are committed and connections are closed:
QUESTION
I know this might be a level 0 question, but I'm stuck here
I'm using SQL Alchemy to get the sql result.
...ANSWER
Answered 2021-May-11 at 13:41You could do the following...
QUESTION
I have a use case, where I need create new queues at runtime, and also create consumers for those newly created queues. The queues created at runtime should be exclusive and auto-delete with an expiry time. I followed the pattern that is suggested over - here If I declare them to be both exclusive and auto-delete, without any x-expires argument it works. However, if I set it, I see an error message in the console, whenever the application tries to create a new queue at runtime. Looks like the argument name is wrong or may not be what spring internally expects. Just looking on how to set that expiry time.
Below are my classes:
ANSWER
Answered 2021-May-05 at 14:33arg.put("x-expires","20000");
QUESTION
I'm new to SQLAlchemy and PostgreSql, so apologies for the newbie question. I'm trying to connect to a table in a remote PostgreSql server using flask-alchemy, and read all the table records. It doesn't have to be flask-sqlalchemy specifically, but I do need to read the table records.
The table has 3 records, but it always comes back as zero records when I step through the code.
I'm using python 3.7, visual studio code with an virtual environment in windows 10.
I checked several articles already:
https://flask-sqlalchemy.palletsprojects.com/en/2.x/#
https://stackabuse.com/using-sqlalchemy-with-flask-and-postgresql/
https://realpython.com/flask-by-example-part-2-postgres-sqlalchemy-and-alembic/
https://www.askpython.com/python-modules/flask/flask-postgresql
Here's my app.py code:
...ANSWER
Answered 2021-Apr-07 at 02:27I believe you're missing a
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install alchemy
Goto Alchemy and get your personal token.
Run following example.py: import random from alchemy import Logger # insert your personal token here token = "..." project = "default" for gid in range(1): group = f"group_{gid}" for eid in range(2): experiment = f"experiment_{eid}" logger = Logger( token=token, experiment=experiment, group=group, project=project, ) for mid in range(4): metric = f"metric_{mid}" # let's sample some random data n = 300 x = random.randint(-10, 10) for i in range(n): logger.log_scalar(metric, x) x += random.randint(-1, 1) logger.close()
Now you should see your metrics on Alchemy.
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