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<@U06RKAMK0UC> I try to run a SQLAlchemyTask to ge...
# ask-ai
s
@ancient-wolf-19325 I try to run a SQLAlchemyTask to get data from Redshift. How would I specify the secrets? I specified them this way: 
kubectl create secret -n my-project-development generic redshift --from-literal=username=user --from-literal=password=password
and so forth. My task looks this way:
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secrets = {
    "username": fl.Secret(key="username", group="redshift"),
    "password": fl.Secret(key="password", group="redshift"),
    "host": fl.Secret(key="host", group="redshift"),
    "port": fl.Secret(key="port", group="redshift"),
    "database": fl.Secret(key="database", group="redshift"),
}

WusDataSchema = FlyteSchema[kwtypes(play_time=datetime, content_id=str, score=float, result=str, plugin_name=str)]

SQLAlchemyTask(
        "wus",
        query_template="select play_time, content_id, score, result, plugin_name from my_schema.my_table limit 1000",
        task_config=SQLAlchemyConfig(
            uri="<redshift+psycopg2://username:password@host>:port/database",
            secret_connect_args=secrets,
        ),
        output_schema_type=WusDataSchema,
        container_image=default_image,
    )
j
To specify secrets for a 
SQLAlchemyTask
in Flyte, you need to ensure that the secrets are correctly defined and accessed within your task configuration. Based on your setup, you have created Kubernetes secrets using 
kubectl
, which is correct. You should ensure that the 
SQLAlchemyConfig
uses these secrets for the connection arguments. Here's how you can configure your 
SQLAlchemyTask
to use the secrets: 1. Define Secrets: Ensure that the secrets are defined with the correct group and key, as you have done. 2. Use Secrets in SQLAlchemyConfig: In the 
SQLAlchemyConfig
, use the 
secret_connect_args
to map the secrets to the connection arguments. The 
uri
should be a template string that will be populated with the secret values at runtime. 3. Access Secrets in Task: The 
SQLAlchemyTask
will automatically use the secrets specified in 
secret_connect_args
to populate the connection URI. Here's an example of how you can set up your task:
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secrets = {
    "username": fl.Secret(key="username", group="redshift"),
    "password": fl.Secret(key="password", group="redshift"),
    "host": fl.Secret(key="host", group="redshift"),
    "port": fl.Secret(key="port", group="redshift"),
    "database": fl.Secret(key="database", group="redshift"),
}

WusDataSchema = FlyteSchema[kwtypes(play_time=datetime, content_id=str, score=float, result=str, plugin_name=str)]

sql_task = SQLAlchemyTask(
    "wus",
    query_template="select play_time, content_id, score, result, plugin_name from my_schema.my_table limit 1000",
    task_config=SQLAlchemyConfig(
        uri="redshift+psycopg2://{username}:{password}@{host}:{port}/{database}",
        secret_connect_args=secrets,
    ),
    output_schema_type=WusDataSchema,
    container_image=default_image,
)
In this setup, the 
uri
is a template string that will be populated with the secret values at runtime. The 
secret_connect_args
dictionary maps the secret keys to the placeholders in the URI. Make sure that the secrets are correctly created in Kubernetes and accessible by the Flyte task. Would you like more detail on this approach? Sources: - Flyte's documentation on secret management 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.
s
@ancient-wolf-19325 I was missing 
secret_requests=[*secrets.values()],
in my 
SQLAlchemyTask
. Now I have the problem that I get the following error: 
NoSuchModuleError: Can't load plugin: sqlalchemy.dialects:redshift.psycopg2
j
The error 
NoSuchModuleError: Can't load plugin: sqlalchemy.dialects:redshift.psycopg2
indicates that the SQLAlchemy dialect for Redshift is not installed or not available in your environment. To resolve this, you need to ensure that the appropriate SQLAlchemy dialect for Redshift is installed in the environment where your Flyte task is running. Here's how you can address this issue: 1. Install the Redshift Dialect: You need to install a package that provides the Redshift dialect for SQLAlchemy. A commonly used package is 
sqlalchemy-redshift
. You can install it using pip:
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pip install sqlalchemy-redshift
2. Ensure the Package is in the Container: If you are running this task in a container, make sure that the container image includes the 
sqlalchemy-redshift
package. You can do this by adding the installation command to your Dockerfile or ensuring that the base image you are using has this package installed. 3. Update the Container Image: If you are using a pre-built container image, you may need to build a new image with the required package and update your 
SQLAlchemyTask
to use this new image. Here's an example of how you might update your Dockerfile to include the package:
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FROM python:3.8-slim

# Install necessary packages
RUN pip install flytekit flytekitplugins-sqlalchemy sqlalchemy-redshift

# Set the working directory
WORKDIR /app

# Copy your application code
COPY . /app
After updating your Dockerfile, build and push the new image to your container registry, and update your Flyte task to use this image. Would you like more detailed guidance on updating your container image? Sources: - https://www.union.ai/docs/flyte/deployment/flyte-configuration/secrets/#code-9 - https://github.com/flyteorg/flyte/blob/master/docs/user_guide/productionizing/secrets.md 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.
s
@ancient-wolf-19325 That fixed that error. Now I get: 
ProgrammingError: (psycopg2.ProgrammingError) invalid dsn: invalid connection option "username"
j
The error 
ProgrammingError: (psycopg2.ProgrammingError) invalid dsn: invalid connection option "username"
suggests that there is an issue with the connection string format or the parameters being passed to the Redshift database. This typically occurs when the connection string is not correctly formatted or when unsupported parameters are included. Here's how you can address this issue: 1. Check Connection String Format: Ensure that the connection string is correctly formatted for Redshift. The typical format for a Redshift connection string using 
psycopg2
is:
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redshift+psycopg2://<username>:<password>@<host>:<port>/<database>
Make sure that the placeholders (
<username>
, 
<password>
, 
<host>
, 
<port>
, 
<database>
) are correctly replaced with the actual values or are being correctly populated from the secrets. 2. Verify Secret Mapping: Ensure that the secrets are correctly mapped to the connection string. The keys in your 
secret_connect_args
should match the placeholders in the connection string. 3. Remove Unsupported Options: Ensure that only supported options are included in the connection string. The error message suggests that 
username
might be incorrectly specified or not supported in the context it is being used. Here's an example of how you might configure your task:
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secrets = {
    "username": fl.Secret(key="username", group="redshift"),
    "password": fl.Secret(key="password", group="redshift"),
    "host": fl.Secret(key="host", group="redshift"),
    "port": fl.Secret(key="port", group="redshift"),
    "database": fl.Secret(key="database", group="redshift"),
}

sql_task = SQLAlchemyTask(
    "wus",
    query_template="select play_time, content_id, score, result, plugin_name from my_schema.my_table limit 1000",
    task_config=SQLAlchemyConfig(
        uri="redshift+psycopg2://{username}:{password}@{host}:{port}/{database}",
        secret_connect_args=secrets,
    ),
    secret_requests=[*secrets.values()],
    output_schema_type=WusDataSchema,
    container_image=default_image,
)
Ensure that the 
uri
template is correctly formatted and that the secrets are correctly defined and accessible. Would you like more detailed guidance on configuring the connection string? Sources: - https://github.com/flyteorg/flyte/blob/master/docs/user_guide/productionizing/secrets.md - https://github.com/flyteorg/flyte/issues/4005 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.
s
@ancient-wolf-19325 I still get the same error. I tried substituting the username with the proper username, but then I get the following error: 
TypeError: Query must be a string unless using sqlalchemy.
So, the variable name 
username
seems to be an issue here
j
It seems likely that the issue is related to how the connection string is being constructed or interpreted. The error 
TypeError: Query must be a string unless using sqlalchemy.
suggests that there might be a problem with how the query or connection string is being processed. Here are a few steps to troubleshoot and resolve the issue: 1. Check Connection String Construction: Ensure that the connection string is being constructed correctly. The placeholders in the connection string should be replaced with actual values from the secrets. If you are directly substituting values, ensure that they are correctly formatted. 2. Verify Secret Values: Double-check that the secrets are being correctly retrieved and that they contain the expected values. You can add debug statements to print the values (excluding sensitive information) to verify that they are correct. 3. Use SQLAlchemy's 
create_engine
: If you are manually constructing the connection string, consider using SQLAlchemy's 
create_engine
function to handle the connection string construction. This can help avoid issues with incorrect formatting. 4. Avoid Reserved Keywords: Ensure that variable names like 
username
are not conflicting with any reserved keywords or causing issues in the context they are used. Here's an example of how you might configure your task using `create_engine`:
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from sqlalchemy import create_engine

# Construct the connection string using SQLAlchemy's create_engine
engine = create_engine(
    "redshift+psycopg2://{username}:{password}@{host}:{port}/{database}".format(
        username=secrets["username"],
        password=secrets["password"],
        host=secrets["host"],
        port=secrets["port"],
        database=secrets["database"],
    )
)

# Use the engine in your SQLAlchemyTask
sql_task = SQLAlchemyTask(
    "wus",
    query_template="select play_time, content_id, score, result, plugin_name from my_schema.my_table limit 1000",
    task_config=SQLAlchemyConfig(
        uri=engine.url,
        secret_connect_args=secrets,
    ),
    secret_requests=[*secrets.values()],
    output_schema_type=WusDataSchema,
    container_image=default_image,
)
This approach uses SQLAlchemy's 
create_engine
to construct the connection string, which can help ensure that it is correctly formatted. Would you like more detailed guidance on using 
create_engine
or troubleshooting the connection string? Sources: - https://github.com/flyteorg/flyte/issues/4005 - https://github.com/flyteorg/flyte/blob/master/docs/user_guide/productionizing/secrets.md 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.
s
@ancient-wolf-19325 How can I verify the string substitution of the uri? Since I am using a 
SQLAlchemyTask
I can't add print statements
j
The Flyte's documentation I have ingested does not mention how to verify the string substitution of the URI in a 
SQLAlchemyTask
. To troubleshoot and verify the string substitution, you might consider logging the constructed URI using Flyte's logging capabilities or by temporarily modifying the task to return the URI for inspection. If this doesn't help, please reach out to the Flyte support team for further assistance. 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.
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