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How to select dates in SQLite with python

Im trying to query a table, and need to grab all products that have a date = today date.
Below is my code so far
import sqlite3
from datetime import date
date = date.today()
con = sqlite3.connect('test.db')
cur = con.cursor()
date = date.today()
sql_q = f'''SELECT date, name FROM table WHERE date = {date}'''
table = cur.execute(sql_q)
for row in table:
print(row)
i am using an SQlite 3 db and all data has been entered with the following format:
2022-09-20
However this variable type does not seem to work with SQL.
i know the SQL code should look somthing like this
SELECT name FROM test WHERE date = '2022-09-20'
but i'd like the date to be selected automatically from python rather than typing it in manually.

Use the function date() to get the current date:
SELECT name FROM test WHERE date = date()
or CURRENT_DATE:
SELECT name FROM test WHERE date = CURRENT_DATE

I think you need to convert date to string and then pass it in query.
maybe your datatype of column and date.today() is different.
date = date.strftime('%Y-%m-%d')
try using this.

There are some problems when using Sqlalchemy to query the data between time1 and time2

My database is SQL Server 2008.
The type of time character I want to query in the database (such as finishdate) is datetime2
I just want data between "10-11" and "10-17".
When using Sqlalchemy, I use
cast(FinishDate, DATE).between(cast(time1, DATE),cast(time2, DATE))
to query dates, but it does not return any data (I confirm that there must be some data statements meet the query time range)
==============================================
from sqlalchemy import DATE
bb = "2021-10-11 12:21:23"
cc = "2021-10-17 16:12:34"
record = session.query(sa.Name cast(sa.FinishDate, DATE)).filter(
cast(sa.SamplingTime, DATE).between(cast(bb, DATE), cast(cc, DATE)),
sa.SamplingType != 0
).all()
or
record = session.query(sa.Name cast(sa.FinishDate, DATE)).filter(
cast(sa.SamplingTime, DATE)>= cast(bb, DATE),
sa.SamplingType != 0
).all()
Both return []
Something is wrong with my code and I don't know what the trouble is.

It is working for me, I only changed the DATE that you are using to Date
from sqlalchemy import Date
record = session.query(
sa.Name cast(sa.FinishDate, Date)
).filter(
cast(sa.SamplingTime, Date).between(
cast(bb, Date), cast(cc, Date)
),
sa.SamplingType != 0
).all()
As a matter of fact first parameter of cast can be a string also, so in this case its fine to pass date as string in cast.
:param expression: A SQL expression, such as a
:class:`_expression.ColumnElement`
expression or a Python string which will be coerced into a bound
literal value.

Error with SQL string: "Error while connecting to PostgreSQL operator does not exist: date = integer"

I have a Python(3) script that is supposed to run each morning. In it, I call some SQL. However I'm getting an error message:
Error while connecting to PostgreSQL operator does not exist: date = integer
The SQL is based on the concatenation of a string:
ecom_dashboard_query = """
with
days_data as (
select
s.date,
s.user_type,
s.channel_grouping,
s.device_category,
sum(s.sessions) as sessions,
count(distinct s.dimension2) as daily_users,
sum(s.transactions) as transactions,
sum(s.transaction_revenue) as revenue
from ga_flagship_ecom.sessions s
where date = """ + run.start_date + """
group by 1,2,3,4
)
insert into flagship_reporting.ecom_dashboard
select *
from days_data;
"""
Here is the full error:
09:31:25 Error while connecting to PostgreSQL operator does not exist: date = integer
09:31:25 LINE 14: where date = 2020-01-19
09:31:25 ^
09:31:25 HINT: No operator matches the given name and argument types. You might need to add explicit type casts.
I tried wrapping run.start_date within str like so: str(run.start_date) but I received the same error message.
I suspect it may be to do with the way I concatenate the SQL query string, but I am not sure.
The query runs fine in SQL directly with a hard coded date and no concatenation:
where date = '2020-01-19'
How can I get the query string to work correctly?

It's more better to pass query params to cursor.execute method. From docs
Warning Never, never, NEVER use Python string concatenation (+) or string parameters interpolation (%) to pass variables to a SQL query string. Not even at gunpoint.
So instead of string concatenation pass run.start_date as second argument of cursor.execute.
In your query instead of concatenation use %s:
where date = %s
group by 1,2,3,4
In your python code add second argument to execute method:
cur.execute(ecom_dashboard_query , (run.start_date,))

Your sentece is wrong:
where date = """ + run.start_date + """
try to compare a date and a string and this is not posible, you need to convert "run.start_date" to datetime and compare simply:
date_format = datetime.strptime(your_date_string, '%y-%m-%d')
and with this date converted to datetime do:
where date = date_format
Final code:
date_format = datetime.strptime(your_date_string, '%y-%m-%d')
ecom_dashboard_query = """
with
days_data as (
select
s.date,
s.user_type,
s.channel_grouping,
s.device_category,
sum(s.sessions) as sessions,
count(distinct s.dimension2) as daily_users,
sum(s.transactions) as transactions,
sum(s.transaction_revenue) as revenue
from ga_flagship_ecom.sessions s
where date = {}
group by 1,2,3,4
)
insert into flagship_reporting.ecom_dashboard
select *
from days_data;
""".format(date_format)

Passing user inputted start and end date values into sql query that generates a dataframe

I'm trying to have a start and end date as variables in a long SQL query in python that generates a dataframe. I've gone through the other posts regarding this and tried everything I know but I get errors and none of them work. I've shortened the sql query to show just the relevant part. Can anyone please give me any suggestions? I think the issue might have to do with the format of the date.
def get_dataframe():
startdate = 'input_startdate'
enddate = 'input_enddate'
query="""
where date between ? and ?
"""
params={'start':startdate, 'end':enddate}
conn = db.msSQLConnect()
df = pd.read_sql(query,conn,params)
return df

Remove quotes around startdate and enddate variable assignments.
With quotes literal string 'input_startdate' and 'input_enddate' are passed to the query, instead of the date values of the variables.
startdate = input_startdate
enddate = input_enddate

How to import Datetime function into python

I am running a query that I plan on using multiple times. However when running this query the 'my-job1a' has to be different everytime so I was planning on making this go by the date time. Does anybody know how to implement the date time function for this?
from google.cloud import bigquery
client = bigquery.Client('dataworks-356fa')
query = query
dataset = client.dataset('FirebaseArchive')
table = dataset.table(name='test1')
tbl = dataset.table(name='test12')
job = client.run_async_query('my-job1a', query)
job.destination = tbl
job.write_disposition= 'WRITE_TRUNCATE'
job.begin()

i believe "my-job1a" is a constant string. and you want to change the string for new query.
import datetime
# "my-job1a" replace this with "my-job1a" + datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
job = client.run_async_query("my-job1a-" + datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"), query)
this will change for each second . if you want in millisecond then change the strftime function parameter. if you don't want such a big string , then change strftime parameter as per your choice.