Validation error for parameters when using "lean optimize"

I understand that MIN, MAX, and step should be provided for any optimzations, but according to information in 

Shouldn't we provide these information in Terminal afterwards?

Based on the information provided, it seems like you're having trouble with the lean optimize command. The error message isn't visible in the provided context, but I can provide some general guidance on how to use the lean optimize command.

Firstly, ensure that you have logged into the CLI and converted your project to use project parameters instead of constants for all values that must be optimized. You can do this by following the steps outlined in the Deployment documentation.

Once you've done that, you can run the lean optimize command in your terminal. This command starts an interactive wizard which lets you configure the optimizer. Here's an example of how to use it:

$ lean optimize "My Project"

You'll be prompted to select the optimization strategy to use. After that, you'll need to enter the constraints of the optimization. An example optimization is "Drawdown <= 0.25", which discards all parameter combinations resulting in a drawdown higher than 25%.

$ lean optimize "My Project"
Current constraints: None
Do you want to add a constraint? [y/N]: y
Select a constraint target:
1) Sharpe Ratio
2) Compounding Annual Return
3) Probabilistic Sharpe Ratio
4) Drawdown
Enter an option: 4
Select a constraint operator (<value> will be asked after this):
1) Less than <value>
2) Less than or equal to <value>
3) Greater than <value>
4) Greater than or equal to <value>
5) Equal to <value>
6) Not equal to <value>
Enter an option: 2
Set the <value> for the selected operator: 0.25
Current constraints: TotalPerformance.PortfolioStatistics.Drawdown <= 0.25
Do you want to add a constraint? [y/N]: n

After configuring the constraints, the optimizer starts running. You can view the results in the terminal after the optimizer finishes. The logs contain the optimal parameter combination.

If you're still encountering issues, please provide more details about the error message you're seeing.

Apparently dear Mia is an AI and cannot help me with my issue this time.  Really appreciate if someone else could help.

Based on the information provided, it seems like there might be a misunderstanding about how to use parameters in the configuration file and in the algorithm.

In the configuration file, parameters should be defined as key-value pairs where both the keys and the values are strings. Here is an example:

{
 "parameters": {
 "fast": "15",
 "slow": "30",
 "K": "2"
 }
}

(Source: Parameters documentation)

Then, in your algorithm, you can use the GetParameter(name) method to retrieve the string value of a parameter and use that instead of constant values. Here is an example in Python:

fast = self.GetParameter("fast")
slow = self.GetParameter("slow")
K = self.GetParameter("K")

(Source: Parameters documentation)

When you run the lean optimize command, you will be prompted to enter the optimization parameters, including the minimum, maximum, and step size for each parameter you want to optimize. Here is an example:

$ lean optimize "My Project"
Should the 'fast' parameter be optimized? [Y/n]: y
Minimum value for 'fast': 5
Maximum value for 'fast': 30
Step size for 'fast' [1.0]: 1
Should the 'slow' parameter be optimized? [Y/n]: y
Minimum value for 'slow': 10
Maximum value for 'slow': 50
Step size for 'slow' [1.0]: 1
Should the 'K' parameter be optimized? [Y/n]: y
Minimum value for 'K': 1
Maximum value for 'K': 3
Step size for 'K' [0.1]: 0.1

(Source: Deployment documentation)

Please update your configuration file and your algorithm accordingly and try running the lean optimize command again. If you're still encountering issues, please provide more details about the error message you're seeing.

Hi, I would like to submit a support ticket. My friends using different accounts and coding environments also encountered this issue. Apparently this has become a common bug. 

To clarify, when using command “lean cloud pull” to retrieve cloud projects (with or w/o parameters built in), the following error messages occur: 

Error: 4 validation errors for QCParameter

min

  Field required [type=missing, input_value={'key': 'fast', 'value': '15'},

input_type=dict]

    For further information visit https://errors.pydantic.dev/2.1.2/v/missing

max

  Field required [type=missing, input_value={'key': 'fast', 'value': '15'},

input_type=dict]

    For further information visit https://errors.pydantic.dev/2.1.2/v/missing

step

  Field required [type=missing, input_value={'key': 'fast', 'value': '15'},

input_type=dict]

    For further information visit https://errors.pydantic.dev/2.1.2/v/missing

type

  Field required [type=missing, input_value={'key': 'fast', 'value': '15'},

input_type=dict]

    For further information visit https://errors.pydantic.dev/2.1.2/v/missing

Please help.

I'm sorry to hear that you're encountering issues with the lean cloud pull command. Based on the error messages you've provided, it seems like the issue might be related to the format of your parameters in the configuration file.

In the configuration file, parameters should be defined as key-value pairs where both the keys and the values are strings. Here is an example:

{
 "parameters": {
 "fast": "15",
 "slow": "30",
 "K": "2"
 }
}

(Source: Parameters documentation)

Then, in your algorithm, you can use the GetParameter(name) method to retrieve the string value of a parameter and use that instead of constant values. Here is an example in Python:

fast = self.GetParameter("fast")
slow = self.GetParameter("slow")
K = self.GetParameter("K")

(Source: Parameters documentation)

When you run the lean optimize command, you will be prompted to enter the optimization parameters, including the minimum, maximum, and step size for each parameter you want to optimize.

Please update your configuration file and your algorithm accordingly and try running the lean optimize command again. If you're still encountering issues, please provide more details about the error message you're seeing.

To add more details, I was able to push local projects without built-in parameters. When pushing local projects with parameters, the same error messages occur. For pulling cloud projects (either with or w/o parameters), the error messages always occur. 

I'm sorry to hear that you're encountering issues with the lean cloud pull command. Based on the error messages you've provided, it seems like the issue might be related to the format of your parameters in the configuration file.

In the configuration file, parameters should be defined as key-value pairs where both the keys and the values are strings. Here is an example:

{
 "parameters": {
 "fast": "15",
 "slow": "30",
 "K": "2"
 }
}

(Source: Parameters documentation)

Then, in your algorithm, you can use the GetParameter(name) method to retrieve the string value of a parameter and use that instead of constant values. Here is an example in Python:

fast = self.GetParameter("fast")
slow = self.GetParameter("slow")
K = self.GetParameter("K")

(Source: Parameters documentation)

When you run the lean optimize command, you will be prompted to enter the optimization parameters, including the minimum, maximum, and step size for each parameter you want to optimize.

Please update your configuration file and your algorithm accordingly and try running the lean optimize command again. If you're still encountering issues, please provide more details about the error message you're seeing.

After running “lean cloud download” in my local organization workspace directory, the interactive wizard didn't pop up. Instead, an error message occurred:

Error: Dataset.parse_options() got multiple values for argument 'values'

Why is the interactive wizard not showing up here?

I'm sorry to hear that you're encountering issues with the lean cloud pull command. The error message you're seeing, Error: Dataset.parse_options() got multiple values for argument 'values', suggests that there might be an issue with the way you're calling the command or with the dataset options you're providing.

Unfortunately, the provided extracts do not contain specific information about this error or the lean cloud pull command. However, according to the documentation, the lean cloud pull command is used to pull projects from QuantConnect to your local directory. If you provide a --project option, you only pull a single project from the cloud.

If you're still encountering issues, I would recommend checking the format of your command and the options you're providing. If the issue persists, it might be helpful to reach out to the QuantConnect community or support for more specific assistance.

This happens to me when trying to run “lean cloud pull” on my server. When I remove the GetParameter() calls in the algo that throws the error on Quantconnect, the error moves on to the next algo that still contains GetParameter() calls. The algos with these GetParameters() in them work fine on Quantconnect, yet I can not pull them to my server due to this blocking error. I contacted customer service about this issue and they were not yet able to resolve this. Since this seems to be an issue others are having, I don't think this relates to my specific algos. Any help would be appreciated. 

Error: 1 validation error for QCParameter
type
  Field required [type=missing, input_value={'key': 'base', 'value': ...ax': 127.5, 'step': 8.5}, input_type=dict]
    For further information visit https://errors.pydantic.dev/2.0.1/v/missing

My situation: I start writing an algo on QC's web interface. I set up self.GetParameter() calls in my code and add the parameter in the side bar of the web interface. In that interface, I can not specify a ‘type’. Only ‘name’ and ‘value’. When I later do a `cloud pull` on the server I want to live trade this on, I get the error. You can see that ‘type’ is missing, but there doesn't seem to be a way for me to add or correct this within the QC web interface. What am I missing?

When I run the CLI command 

cloud lean pull --verbose 

I can see that the config that comes from QC is missing the ‘type’ key:value pair.

'parameters': [
       {'key': 'base', 'value': '85', 'min': 42.5, 'max': 127.5, 'step': 8.5},
       {'key': 'volatility', 'value': '127', 'min': 63.5, 'max': 190.5, 'step': 12.7}
   ],

You can also see that the ‘min’, ‘max’, and ‘step’ values are not strings, which the documentation says they need to be. But, these values were input on the QC web based optimizer screen. I can't specify them to be strings in the resulting config file (which again, I can not update, I don't think).

MY SOLUTION

I deleted all the parameters in the sidebar of each of the algos. Like ‘cut_loss’ in the below example. That makes the error go away in the CLI. Not ideal, but at least I can proceed. The calls to self.GetParameter() like self.GetParameter('cut_loss', -0.10) can stay in the code.