[Components] ollama: new action components #14278
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WalkthroughThe pull request introduces multiple new modules within the Changes
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Actionable comments posted: 19
🧹 Outside diff range and nitpick comments (23)
components/ollama/actions/list-local-models/list-local-models.mjs (2)
3-11: LGTM: Action metadata is well-defined.The action metadata is comprehensive and follows best practices:
- The key is unique and descriptive.
- The name and description are clear and informative.
- Including the API documentation link in the description is helpful for users.
- The type is correctly set to "action".
- The props correctly include the imported
app.Consider using semantic versioning (e.g., "1.0.0") for the initial release instead of "0.0.1", unless this is intentionally a pre-release version.
12-18: LGTM: Run method is well-implemented, but consider adding error handling.The
runmethod is correctly implemented:
- It uses async/await for handling the asynchronous API call.
- It passes the context object
$to thelistLocalModelsmethod.- It exports a summary message for user feedback.
- It returns the response for potential further processing.
Consider adding error handling to make the action more robust:
async run({ $ }) { - const response = await this.app.listLocalModels({ - $, - }); - $.export("$summary", "Successfully listed local models."); - return response; + try { + const response = await this.app.listLocalModels({ + $, + }); + $.export("$summary", "Successfully listed local models."); + return response; + } catch (error) { + $.export("$summary", `Failed to list local models: ${error.message}`); + throw error; + } },This change will provide more informative feedback to the user in case of an error and ensure that errors are properly propagated.
components/ollama/actions/delete-model/delete-model.mjs (1)
1-17: LGTM! Consider adding input validation for the 'name' prop.The action metadata and structure look good. The description with the API documentation link is helpful.
Consider adding input validation for the 'name' prop to ensure it's not empty before making the API call. This could be done in the
runmethod.components/ollama/actions/copy-model/copy-model.mjs (3)
9-22: LGTM: Props are well-defined. Consider adding validation for the destination prop.The props are correctly defined and align with the requirements for copying a model. The 'source' prop appropriately references the app's model propDefinition, and the 'destination' prop has a clear label and description.
Consider adding validation for the 'destination' prop to ensure it follows any naming conventions or restrictions for model names in Ollama. For example:
destination: { type: "string", label: "New Model Name", description: "The new name for the copied model.", validate: (value) => { // Add validation logic here if (!/^[a-zA-Z0-9_-]+$/.test(value)) { return "Model name must contain only alphanumeric characters, underscores, and hyphens."; } }, },
23-30: LGTM: copyModel method is correctly implemented. Consider adding error handling.The
copyModelmethod is well-implemented, using the app's post method and allowing for flexible argument passing. The endpoint path aligns with the API documentation.Consider adding basic error handling to provide more informative error messages. For example:
methods: { async copyModel(args = {}) { try { return await this.app.post({ path: "/copy", ...args, }); } catch (error) { throw new Error(`Failed to copy model: ${error.message}`); } }, },
31-49: LGTM: run method is well-implemented. Consider enhancing error and response handling.The
runmethod is correctly implemented as an async function, efficiently destructures the required properties and methods, and provides a helpful summary message.Consider enhancing the error and response handling to provide more detailed information to the user. For example:
async run({ $ }) { const { copyModel, source, destination, } = this; try { const response = await copyModel({ $, data: { source, destination, }, }); $.export("$summary", `Successfully copied model from ${source} to ${destination}.`); return { success: true, response, }; } catch (error) { $.export("$summary", `Failed to copy model: ${error.message}`); throw error; } },This enhancement provides more detailed success messages, includes the API response in the return value, and handles errors more gracefully.
components/ollama/actions/show-model-information/show-model-information.mjs (3)
9-23: Props are well-defined, consider adding default value for 'verbose'.The props are clearly defined and provide the necessary inputs for the action. The use of
propDefinitionfor the 'name' prop is a good practice for maintaining consistency.Consider adding a default value for the 'verbose' prop to improve usability. For example:
verbose: { type: "boolean", label: "Verbose", description: "Show verbose output.", optional: true, + default: false, },
24-31: Method looks good, consider adding basic error handling.The
getModelInfomethod is well-implemented and provides flexibility through the use of the spread operator.Consider adding basic error handling to improve robustness:
methods: { getModelInfo(args = {}) { - return this.app.post({ - path: "/show", - ...args, - }); + try { + return this.app.post({ + path: "/show", + ...args, + }); + } catch (error) { + console.error("Error fetching model info:", error); + throw error; + } }, },
32-50: Run method is well-structured, consider adding error handling and response validation.The
runmethod is implemented correctly and follows Pipedream's action patterns. The use of destructuring and the export of a summary message are good practices.Consider the following improvements:
- Add error handling:
async run({ $ }) { const { getModelInfo, name, verbose, } = this; + try { const response = await getModelInfo({ $, data: { name, verbose, }, }); + if (!response || typeof response !== 'object') { + throw new Error('Invalid response from API'); + } $.export("$summary", "Successfully retrieved model information."); return response; + } catch (error) { + $.export("$summary", `Failed to retrieve model information: ${error.message}`); + throw error; + } },
- Provide more detailed summary based on the response:
- $.export("$summary", "Successfully retrieved model information."); + $.export("$summary", `Successfully retrieved information for model: ${response.name || name}`);components/ollama/actions/pull-model/pull-model.mjs (4)
4-8: LGTM: Action metadata is well-defined.The action metadata is comprehensive and informative. The unique key, name, description, and type are all appropriately set. The description provides clear information about the action's functionality and includes a helpful link to the API documentation.
Consider implementing a versioning strategy for future updates. While "0.0.1" is appropriate for an initial implementation, you may want to establish guidelines for when and how to increment the version number in future releases.
9-28: LGTM: Props are well-defined and utilize app propDefinitions.The props definition is comprehensive and utilizes app propDefinitions for common properties, which is a good practice for maintaining consistency across actions. The 'name' prop is correctly defined with appropriate type, label, and description.
Consider adding validation for the 'name' prop to ensure it meets any specific requirements for model names in the Ollama library. For example, you could add a pattern or custom validation function to check for allowed characters or format.
29-36: LGTM: The pullModel method is correctly implemented.The 'pullModel' method is well-implemented, utilizing the app's post method for making the API request. The use of default empty object for args and spreading the args object are good practices for flexibility.
Consider adding error handling within the 'pullModel' method. While errors may be handled at a higher level, adding specific error handling here could provide more context-specific error messages or handling for network issues or API-specific errors.
37-56: LGTM: The run method is well-implemented with room for minor improvements.The run method is correctly implemented as an async function, properly handles the API call, and provides user feedback. The destructuring of properties improves readability, and returning the full response allows for flexible use of the action's output.
Consider the following improvements:
- Add input validation for the 'name' parameter to ensure it's not empty or invalid.
- Enhance the summary message to include the name of the model that was pulled.
- Consider adding more detailed error handling to provide specific error messages for different failure scenarios.
Example implementation:
async run({ $ }) { const { pullModel, name, insecure, stream, } = this; if (!name || typeof name !== 'string' || name.trim() === '') { throw new Error('Invalid or empty model name provided'); } try { const response = await pullModel({ $, data: { name, insecure, stream, }, }); $.export("$summary", `Successfully pulled model: ${name}`); return response; } catch (error) { console.error('Error pulling model:', error); throw new Error(`Failed to pull model ${name}: ${error.message}`); } }components/ollama/actions/generate-embeddings/generate-embeddings.mjs (2)
9-40: Props are well-defined, with room for minor improvementsThe props definition is comprehensive and follows good practices:
- Utilizes
propDefinitionfor shared props (model, options, keepAlive)- Includes all necessary parameters for embedding generation
- Provides clear labels and descriptions
Suggestions for improvement:
- Consider adding validation or constraints to the
inputprop to ensure it's not empty and has a reasonable maximum length.- For the
truncateprop, consider adding a default value to match the API's default behavior.Example for
inputprop improvement:input: { type: "string[]", label: "Input", description: "The list of texts to generate embeddings for.", validate: (value) => { if (!value || value.length === 0) { return "At least one input text is required."; } if (value.some(text => text.length > 1000)) { return "Each input text should not exceed 1000 characters."; } }, },Example for
truncateprop improvement:truncate: { type: "boolean", label: "Truncate", description: "Truncates the end of each input to fit within context length. Returns error if `false` and context length is exceeded.", optional: true, default: true, },
49-72: Run function is well-structured, consider adding error handlingThe
runfunction is implemented correctly:
- Async function with proper destructuring of necessary properties
- Calls
generateEmbeddingswith the appropriate parameters- Exports a summary message and returns the response
Suggestion for improvement:
Consider adding error handling to provide more informative error messages and ensure graceful failure. Here's an example of how you could modify the run function:async run({ $ }) { const { generateEmbeddings, model, input, truncate, options, keepAlive, } = this; try { const response = await generateEmbeddings({ $, data: { model, input, truncate, options, keep_alive: keepAlive, }, }); $.export("$summary", "Successfully generated embeddings."); return response; } catch (error) { $.export("$summary", "Failed to generate embeddings."); throw new Error(`Error generating embeddings: ${error.message}`); } }This modification will provide more context in case of an error and ensure that the action fails explicitly rather than silently.
components/ollama/actions/create-model/create-model.mjs (2)
36-54: Consider adding error handling for API responseWhile the current implementation assumes a successful API call, it's beneficial to handle potential errors gracefully. Wrapping the
createModelcall in atry-catchblock can help manage exceptions and provide meaningful feedback to the user.Apply this diff to include error handling:
async run({ $ }) { const { createModel, name, modelfile, stream, } = this; - const response = await createModel({ - $, - data: { - name, - modelfile, - stream, - }, - }); - $.export("$summary", "Successfully created model."); - return response; + try { + const response = await createModel({ + $, + data: { + name, + modelfile, + stream, + }, + }); + $.export("$summary", "Successfully created model."); + return response; + } catch (error) { + $.export("$summary", "Failed to create model."); + throw new Error(`Error creating model: ${error.message}`); + } }
21-26: Ensurestreamprop is adequately documented and optionalThe
streamprop is included viapropDefinition, but its purpose and default behavior aren't immediately clear. Consider adding a description to clarify its function and indicate whether it's optional.Apply this diff to add a description:
stream: { propDefinition: [ app, "stream", ], + description: "Whether to stream the response. Defaults to `false`.", },components/ollama/actions/push-model/push-model.mjs (1)
56-56: Enhance the success message with the model nameInclude the model name in the success message to provide more context to the user.
Apply this diff to update the summary message:
$.export("$summary", - "Successfully pushed model."); + `Successfully pushed model: ${name}.`);components/ollama/actions/generate-completion/generate-completion.mjs (1)
86-87: Provide More Descriptive Summary MessagesThe current summary message
"Successfully generated completion."is generic. Consider including the model name or a snippet of the generated text to make the summary more informative.For example:
$.export("$summary", - "Successfully generated completion." + `Successfully generated completion using model: ${model}.` );components/ollama/actions/generate-chat-completion/generate-chat-completion.mjs (2)
26-26: Provide Example fortoolsInput FormatTo improve clarity and assist users, consider adding an example in the
toolsprop description to demonstrate the expected JSON format for each tool entry. This will help users understand how to correctly input the tools.For example:
Each row should be set as a JSON format string. E.g.,
{"name": "calculator", "description": "Performs basic arithmetic operations."}
75-75: Ensure Consistent Naming ConventionsThe
keep_aliveproperty in the request data uses snake_case (keep_alive), whereas JavaScript typically uses camelCase (keepAlive). If the API specifically requireskeep_alivein snake_case, this is acceptable. Otherwise, consider using consistent naming conventions throughout the code.components/ollama/ollama.app.mjs (2)
45-50: Clarify the Description of thestreamPropertyThe description of the
streamproperty might be confusing. It currently reads: "Iffalsethe response will be returned as a single response object, rather than a stream of objects." Since the default isfalse, it's important to clearly convey the behavior.Consider rephrasing the description for clarity:
description: "Set to `true` to receive the response as a stream of objects. If `false`, the response will be returned as a single object.",
9-10: Enhance Readability of themodelProperty DescriptionThe
modelproperty's description includes examples that could be formatted for better readability.Consider formatting the examples using code blocks to make them stand out:
description: "Model names follow a `model:tag` format, where the model can have an optional namespace such as `example/model`. Some examples are `\`orca-mini:3b-q4_1\`` and `\`llama3:70b\``. The tag is optional and, if not provided, will default to latest. The tag is used to identify a specific version.",
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📒 Files selected for processing (13)
- components/ollama/actions/copy-model/copy-model.mjs (1 hunks)
- components/ollama/actions/create-model/create-model.mjs (1 hunks)
- components/ollama/actions/delete-model/delete-model.mjs (1 hunks)
- components/ollama/actions/generate-chat-completion/generate-chat-completion.mjs (1 hunks)
- components/ollama/actions/generate-completion/generate-completion.mjs (1 hunks)
- components/ollama/actions/generate-embeddings/generate-embeddings.mjs (1 hunks)
- components/ollama/actions/list-local-models/list-local-models.mjs (1 hunks)
- components/ollama/actions/pull-model/pull-model.mjs (1 hunks)
- components/ollama/actions/push-model/push-model.mjs (1 hunks)
- components/ollama/actions/show-model-information/show-model-information.mjs (1 hunks)
- components/ollama/common/utils.mjs (1 hunks)
- components/ollama/ollama.app.mjs (1 hunks)
- components/ollama/package.json (2 hunks)
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🔇 Additional comments (20)
components/ollama/package.json (2)
3-3: Version update looks good.The version bump from 0.0.1 to 0.1.0 is appropriate, reflecting the addition of new features (action components) in a backwards-compatible manner.
15-17: Dependency addition is appropriate.The addition of @pipedream/platform as a dependency is suitable for the new action components.
Please verify that 3.0.3 is the latest stable version of @pipedream/platform. You can check this by running:
If a newer stable version is available, consider updating to it.
components/ollama/actions/list-local-models/list-local-models.mjs (1)
1-1: LGTM: Import statement is correct.The import statement correctly imports the
appfrom the relative path. This is likely the main Ollama app configuration, which is appropriate for this action module.components/ollama/actions/delete-model/delete-model.mjs (2)
18-25: LGTM! The 'deleteModel' method is well-structured.The 'deleteModel' method is correctly implemented. It uses the app's 'delete' method and allows for flexible argument passing.
1-43: Overall, good implementation with room for minor improvements.The "Delete Model" action is well-structured and implements the required functionality as per the PR objectives. The suggestions for improvement include:
- Adding input validation for the 'name' prop.
- Implementing error handling for the API call.
- Returning more detailed information from the API response.
To ensure the action works as expected, please add unit tests covering:
- Successful model deletion
- Handling of empty model name
- API error scenarios
Also, consider running integration tests with the Ollama API to verify the correct behavior in a real environment.
components/ollama/actions/copy-model/copy-model.mjs (2)
1-8: LGTM: Import and action metadata are well-defined.The import statement and action metadata are correctly implemented. The description provides a clear explanation of the action's purpose and includes a helpful link to the API documentation.
1-50: Great implementation of the Copy Model action. Aligns well with PR objectives.This implementation of the Copy Model action for Ollama is well-structured and aligns perfectly with the objectives outlined in the PR description and linked issue #14232. The code is clean, efficient, and follows good practices.
Key points:
- The action metadata is complete and includes helpful documentation links.
- Props are well-defined, capturing the necessary inputs for the copy operation.
- The
copyModelmethod correctly interfaces with the Ollama API.- The
runmethod efficiently orchestrates the copy operation and provides user feedback.The minor suggestions for improvements (input validation, error handling, and response handling) would further enhance the robustness and user-friendliness of this action.
Overall, this is a solid implementation that successfully addresses the "Copy Model" functionality required for the Ollama integration.
components/ollama/actions/show-model-information/show-model-information.mjs (2)
1-8: LGTM: Module definition and metadata look good.The import statement and the exported object's metadata are well-structured and provide clear information about the action. The inclusion of the API documentation link in the description is particularly helpful.
1-51: Overall, excellent implementation with room for minor enhancements.The "Show Model Information" action is well-implemented and follows Pipedream's best practices. It's concise, focused, and achieves the intended functionality as described in the linked Ollama API documentation.
Key strengths:
- Clear and descriptive metadata
- Well-structured props with reusable definitions
- Concise method for API interaction
- Proper use of async/await in the run method
Areas for potential improvement:
- Error handling in both
getModelInfoandrunmethods- More detailed success messages based on the API response
- Input validation, especially for required fields
These enhancements would further improve the robustness and user-friendliness of the action. Great job overall!
components/ollama/actions/pull-model/pull-model.mjs (2)
1-3: LGTM: Import and module export look good.The import statement and module export declaration are correctly implemented. The relative import path for the app module is appropriate, and exporting the action as a default export is a good practice for single action modules.
1-56: Summary: The pull-model action is well-implemented and meets the PR objectives.This new action for pulling models from the Ollama library is well-structured and implements the functionality as described in the PR objectives and linked issue #14232. The code follows good practices, utilizes the app's shared functionality appropriately, and provides a clear interface for users.
The implementation correctly addresses the "pull-model" action mentioned in the objectives, allowing users to download a model from the Ollama library with options for insecure connections and streaming.
While the current implementation is solid, consider implementing the suggested improvements in future iterations to enhance input validation, error handling, and user feedback. These changes would further improve the robustness and user-friendliness of the action.
Overall, this implementation successfully contributes to the set of new action components for Ollama as outlined in the PR objectives.
components/ollama/actions/generate-embeddings/generate-embeddings.mjs (4)
1-1: LGTM: Import statement is correctThe import statement correctly imports the
appobject from the parent Ollama component file. This follows the expected pattern for Pipedream components and allows access to shared functionality.
3-9: LGTM: Action definition and metadata are well-structuredThe action definition includes all necessary metadata:
- Unique key: "ollama-generate-embeddings"
- Descriptive name: "Generate Embeddings"
- Clear description with a link to the API documentation
- Initial version: "0.0.1"
- Correct type: "action"
This follows Pipedream's best practices for action definitions.
41-48: LGTM: generateEmbeddings method is well-implementedThe
generateEmbeddingsmethod is concise and follows best practices:
- Utilizes the
app.postmethod, which likely handles authentication and other common concerns- Uses the correct "/embed" endpoint as per the Ollama API documentation
- Allows for flexible arguments through the use of the spread operator
This implementation provides a clean interface for making API calls to generate embeddings.
1-72: Overall: Well-implemented "Generate Embeddings" actionThis new action for generating embeddings using the Ollama API is well-structured and follows Pipedream's best practices. Key strengths include:
- Clear and concise action definition with appropriate metadata
- Well-defined props utilizing shared propDefinitions where applicable
- Efficient implementation of the
generateEmbeddingsmethod- Proper use of the Pipedream action structure in the
runfunctionThe suggested improvements for props validation and error handling are minor and do not detract from the overall quality of the implementation. This action successfully fulfills the "generate-embeddings" objective outlined in the linked issue #14232.
Great job on implementing this new Ollama action component!
components/ollama/actions/create-model/create-model.mjs (1)
1-55: Overall code quality is goodThe action is well-structured, and the implementation aligns with the intended functionality. The use of methods and destructuring enhances readability.
components/ollama/actions/push-model/push-model.mjs (2)
4-4: Ensure the uniqueness and correctness of the action keyPlease verify that the
keyproperty"ollama-push-model"is unique across all components and follows the project's naming conventions.
47-54:⚠️ Potential issueVerify that request parameters are correctly structured
Ensure that the parameters
name,insecure, andstreamare correctly structured in the request. Confirm whether they should be included in the request body (data) or as query parameters.components/ollama/actions/generate-completion/generate-completion.mjs (1)
83-83: Verify Correct Parameter Naming forkeep_aliveEnsure that the API expects the parameter as
keep_alive. If the API useskeepAliveinstead, the current naming may cause the parameter to be ignored or result in an error. Confirm the correct parameter name and adjust accordingly.Run the following script to confirm the parameter name in the codebase:
components/ollama/ollama.app.mjs (1)
12-13:⚠️ Potential issueEnsure Robust Error Handling in
modelProperty OptionsThe
optionsfunction for themodelproperty assumes thatlistLocalModels()returns an object with amodelsarray. If the API response differs or there's an error, this could cause the function to fail.Consider adding error handling to account for unexpected responses. To verify the structure of the response from
listLocalModels(), you can run the following script:Ensure that
OLLAMA_URLis correctly set to the base URL of your Ollama API.
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Actionable comments posted: 6
🧹 Outside diff range and nitpick comments (9)
components/ollama/actions/copy-model/copy-model.mjs (2)
9-22: Consider adding input validation for the destination prop.The props are well-defined, but the
destinationprop lacks input validation. To prevent potential issues, consider adding validation to ensure the new model name adheres to any naming conventions or restrictions imposed by Ollama.You could add a
patternproperty to thedestinationprop with a regular expression that matches valid model names. For example:destination: { type: "string", label: "New Model Name", description: "The new name for the copied model.", pattern: "^[a-zA-Z0-9_-]+$", errorMessage: "Model name must contain only alphanumeric characters, underscores, and hyphens.", },
23-30: Enhance error handling in the copyModel method.While the
copyModelmethod is correctly implemented, it lacks explicit error handling. Consider adding try-catch blocks to handle potential errors during the API call.Here's a suggested improvement:
methods: { async copyModel(args = {}) { try { return await this.app.post({ path: "/copy", ...args, }); } catch (error) { throw new Error(`Failed to copy model: ${error.message}`); } }, },This change will provide more informative error messages if the API call fails.
components/ollama/actions/pull-model/pull-model.mjs (1)
9-28: Consider adding validation to the 'name' propThe props are well-defined, but the 'name' prop could benefit from additional validation.
Consider adding validation to ensure the 'name' prop is required and follows any specific naming conventions for Ollama models. For example:
name: { type: "string", label: "Model Name", description: "The name of the model to pull.", + required: true, + pattern: "^[a-zA-Z0-9_-]+$", + error: "Please enter a valid model name using only letters, numbers, underscores, and hyphens.", },components/ollama/actions/generate-embeddings/generate-embeddings.mjs (3)
9-39: Props are well-defined, with a minor suggestion for improvement.The props are correctly implemented and cover all necessary parameters for the API call. The use of propDefinitions from the app object promotes consistency across components.
Consider setting a default value for the
truncateprop to match the API's default behavior:truncate: { type: "boolean", label: "Truncate", description: "Truncates the end of each input to fit within context length. Returns error if `false` and context length is exceeded. Defaults to `true`.", optional: true, + default: true, },
49-71: Run method is well-implemented, with a suggestion for error handling.The
runmethod is correctly implemented as an async function and follows best practices. The destructuring of properties improves readability, and the API call is correctly structured with all necessary parameters.Consider adding error handling to provide more informative feedback to the user:
async run({ $ }) { const { generateEmbeddings, model, input, truncate, options, keepAlive, } = this; - const response = await generateEmbeddings({ - $, - data: { - model, - input, - truncate, - options, - keep_alive: keepAlive, - }, - }); - $.export("$summary", "Successfully generated embeddings."); - return response; + try { + const response = await generateEmbeddings({ + $, + data: { + model, + input, + truncate, + options, + keep_alive: keepAlive, + }, + }); + $.export("$summary", "Successfully generated embeddings."); + return response; + } catch (error) { + $.export("$summary", `Failed to generate embeddings: ${error.message}`); + throw error; + } },This change will provide more informative feedback to the user in case of an error.
1-72: Overall implementation is high-quality and aligns with PR objectives.The
generate-embeddings.mjsfile successfully implements a new action component for generating embeddings using the Ollama API. The code is well-structured, follows Pipedream component patterns, and aligns with the objectives outlined in the PR description and linked issue #14232.Key points:
- The action metadata is well-defined and includes a link to the documentation.
- Props are correctly implemented, covering all necessary parameters for the API call.
- The
generateEmbeddingsmethod is concise and follows the pattern of other Pipedream components.- The
runmethod is well-implemented, with proper async/await usage and parameter structuring.The implementation successfully addresses the "generate-embeddings" action mentioned in the linked issue, contributing to the overall goal of introducing new Ollama action components.
As you continue to implement the remaining actions mentioned in the linked issue (e.g., generate-completion, generate-chat-completion, create-model, etc.), consider maintaining a consistent structure across all action components. This will enhance maintainability and make it easier for developers to work with multiple Ollama actions.
components/ollama/ollama.app.mjs (3)
7-15: LGTM: Well-defined model property with dynamic options.The
modelproperty is well-defined and aligns with the PR objectives. The async options method provides a user-friendly way to select available models.Consider adding a default value for the
modelproperty if there's a recommended or commonly used model. This could be done by adding adefaultfield to the property definition.
60-71: LGTM: URL and header construction methods are correct.The
getUrlandgetHeadersmethods are well-implemented and follow best practices for constructing API requests.Consider simplifying the
getHeadersmethod for better readability:getHeaders(headers = {}) { const { apiKey } = this.$auth; if (apiKey) { headers.Authorization = `Bearer ${apiKey}`; } return headers; }This approach is more straightforward and achieves the same result.
81-92: LGTM: POST and DELETE methods are well-implemented.The
postanddeletemethods provide clean abstractions for making HTTP requests.For consistency and to facilitate future enhancements, consider adding a
getmethod:get(args = {}) { return this._makeRequest({ method: "GET", ...args, }); },This addition would complete the set of common HTTP methods and maintain consistency in the API.
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- components/ollama/actions/copy-model/copy-model.mjs (1 hunks)
- components/ollama/actions/create-model/create-model.mjs (1 hunks)
- components/ollama/actions/delete-model/delete-model.mjs (1 hunks)
- components/ollama/actions/generate-chat-completion/generate-chat-completion.mjs (1 hunks)
- components/ollama/actions/generate-completion/generate-completion.mjs (1 hunks)
- components/ollama/actions/generate-embeddings/generate-embeddings.mjs (1 hunks)
- components/ollama/actions/list-local-models/list-local-models.mjs (1 hunks)
- components/ollama/actions/pull-model/pull-model.mjs (1 hunks)
- components/ollama/actions/push-model/push-model.mjs (1 hunks)
- components/ollama/actions/show-model-information/show-model-information.mjs (1 hunks)
- components/ollama/common/utils.mjs (1 hunks)
- components/ollama/ollama.app.mjs (1 hunks)
- components/ollama/package.json (2 hunks)
🚧 Files skipped from review as they are similar to previous changes (7)
- components/ollama/actions/create-model/create-model.mjs
- components/ollama/actions/delete-model/delete-model.mjs
- components/ollama/actions/list-local-models/list-local-models.mjs
- components/ollama/actions/push-model/push-model.mjs
- components/ollama/actions/show-model-information/show-model-information.mjs
- components/ollama/common/utils.mjs
- components/ollama/package.json
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components/ollama/actions/copy-model/copy-model.mjs (1)
1-8: LGTM: Import and action metadata are well-defined.The import statement and action metadata are correctly structured. The description provides a clear explanation of the action's purpose and includes a link to the documentation, which is excellent for user reference.
components/ollama/actions/pull-model/pull-model.mjs (2)
1-8: LGTM: Well-structured action metadataThe import statement and action metadata are well-defined. The description is informative and includes a link to the API documentation, which is excellent for maintainability and user understanding.
1-56: Well-implemented "Pull Model" action with room for minor improvementsOverall, this implementation of the "Pull Model" action for Ollama is well-structured and aligns with the PR objectives. It correctly implements the functionality to download a model from the Ollama library as specified in the linked issue #14232.
Key strengths:
- Clear and informative metadata
- Well-defined props with reusable propDefinitions
- Correct use of the app's API for making requests
Suggestions for improvement:
- Enhanced error handling in both pullModel and run methods
- Additional input validation for the 'name' prop
- Minor optimization in the run method using object shorthand
These improvements will make the action more robust and maintainable. Great job on implementing this new action component!
components/ollama/actions/generate-embeddings/generate-embeddings.mjs (2)
1-8: LGTM: Import and action metadata are well-defined.The import statement and action metadata are correctly implemented. The description includes a link to the documentation, which is helpful for users.
41-47: LGTM: generateEmbeddings method is correctly implemented.The
generateEmbeddingsmethod is concise and follows the pattern of other Pipedream components. It correctly uses theapp.postmethod for making the API request, and the use of default parameters and spread operator is appropriate.components/ollama/actions/generate-chat-completion/generate-chat-completion.mjs (5)
1-2: Import statements look good.The imports are correctly sourcing the necessary modules from the component's structure.
4-9: Action properties are well-defined.The exported object's properties provide clear and concise information about the action, including a helpful link to the API documentation.
1-82: Overall assessment: Good implementation with room for improvement.The chat completion action for Ollama is well-structured and functional. However, consider implementing the suggested improvements:
- Refine the
messagesandtoolsprop definitions for better type safety and usability.- Enhance error handling in the
generateChatCompletionmethod.- Optimize the
runmethod implementation with proper error handling and cleanup of undefined properties.These enhancements will improve the robustness, maintainability, and developer experience of this action component.
10-47: 🛠️ Refactor suggestionConsider refining the
messagesandtoolsprop definitions.The current implementation of
messagesandtoolsasstring[]types requiring JSON formatting can be error-prone and less user-friendly. Consider the following improvements:
- Change the type of
messagesandtoolstoobject[]to allow direct object input.- Implement proper type checking and validation for the object structures.
- Update the
runmethod to remove theutils.parseArraycalls for these props.These changes will enhance type safety and improve the developer experience when using this action.
56-81: 🛠️ Refactor suggestionOptimize the
runmethod implementation.
- Implement the suggestion to clean up undefined properties:
const data = utils.cleanObject({ model, messages: utils.parseArray(messages), tools: utils.parseArray(tools), options, stream, keep_alive: keepAlive, }); const response = await generateChatCompletion({ $, data });
If you implement the earlier suggestion to change
messagesandtoolstoobject[], remove theutils.parseArraycalls.Consider adding more detailed error handling and logging:
try { const response = await generateChatCompletion({ $, data }); $.export("$summary", "Successfully generated chat completion."); return response; } catch (error) { $.export("$summary", `Failed to generate chat completion: ${error.message}`); throw error; }These changes will improve the robustness and maintainability of the
runmethod.components/ollama/ollama.app.mjs (4)
1-6: LGTM: Import and app definition are correct.The import statement and app definition are standard and appropriate for a Pipedream component.
16-38: LGTM: Comprehensive input options for Ollama API.The
prompt,suffix,images, andoptionsproperties are well-defined and provide a comprehensive set of input options for the Ollama API. The descriptions are clear, and the optional nature of some properties offers flexibility to users.
93-97: LGTM:listLocalModelsmethod is correctly implemented.The
listLocalModelsmethod is well-implemented and aligns with the PR objectives. It provides a clean interface for retrieving local models from the Ollama API.
Line range hint
1-101: Overall assessment: Well-implemented Ollama app with minor improvement opportunities.The Ollama app implementation is robust and aligns well with the PR objectives. It provides a comprehensive set of properties and methods for interacting with the Ollama API. The code is generally well-structured and follows best practices.
Key points:
- Property definitions are thorough and user-friendly.
- API interaction methods are well-implemented.
- The
listLocalModelsmethod fulfills the "list-local-models" action requirement.Suggested improvements:
- Adjust the
keepAliveproperty type and description for clarity.- Simplify the
getHeadersand_makeRequestmethods for better readability.- Consider adding a
getmethod for consistency in HTTP method abstractions.These minor enhancements will further improve the code's readability and maintainability.
components/ollama/actions/generate-completion/generate-completion.mjs (1)
1-89: Well-structured implementation ready for mergeThe action is correctly defined with all necessary configurations, including key properties, prop definitions, methods, and the
runfunction. The code is clean, readable, and adheres to best practices. Great work!
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Actionable comments posted: 7
🧹 Outside diff range and nitpick comments (4)
components/ollama/actions/pull-model/pull-model.mjs (1)
9-28: Consider adding validation for the 'name' propThe props are well-defined, but the 'name' prop could benefit from additional validation to ensure it's not empty. Consider adding a
validateInputfunction or using theoptionalproperty to enforce this.Example:
name: { type: "string", label: "Model Name", description: "The name of the model to pull.", validateInput: (value) => { if (!value) { return "Model name cannot be empty"; } }, },components/ollama/actions/generate-embeddings/generate-embeddings.mjs (2)
10-41: Props are well-defined, consider input validationThe props are comprehensive and well-described, covering all necessary parameters for the API call. The use of propDefinitions from the app promotes consistency across the component.
Consider adding input validation for the
inputprop to ensure it's not empty. You could add aminproperty to the prop definition:input: { type: "string[]", label: "Input", description: "The list of texts to generate embeddings for.", min: 1, },This ensures that at least one input string is provided.
50-72: Run function is well-implemented, consider adding error handlingThe run function is well-structured and follows best practices for Pipedream actions. It correctly uses the generateEmbeddings method and provides user feedback through the summary export.
Consider adding error handling to improve robustness. Here's an example of how you could modify the run function:
async run({ $ }) { const { generateEmbeddings, model, input, truncate, options, keepAlive, } = this; try { const response = await generateEmbeddings({ $, data: { model, input, truncate, options: utils.parseOptions(options), keep_alive: keepAlive, }, }); $.export("$summary", "Successfully generated embeddings."); return response; } catch (error) { $.export("$summary", `Failed to generate embeddings: ${error.message}`); throw error; } }This modification will catch any errors that occur during the API call, export a helpful error summary, and re-throw the error for Pipedream's error handling.
components/ollama/actions/generate-chat-completion/generate-chat-completion.mjs (1)
79-80: Improve the success message with more details.The current success message is generic. Consider including more details about the generated completion to make it more informative. For example:
- $.export("$summary", "Successfully generated chat completion."); + $.export("$summary", `Successfully generated chat completion for model: ${model}`);This change provides more context about the specific action performed.
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📒 Files selected for processing (13)
- components/ollama/actions/copy-model/copy-model.mjs (1 hunks)
- components/ollama/actions/create-model/create-model.mjs (1 hunks)
- components/ollama/actions/delete-model/delete-model.mjs (1 hunks)
- components/ollama/actions/generate-chat-completion/generate-chat-completion.mjs (1 hunks)
- components/ollama/actions/generate-completion/generate-completion.mjs (1 hunks)
- components/ollama/actions/generate-embeddings/generate-embeddings.mjs (1 hunks)
- components/ollama/actions/list-local-models/list-local-models.mjs (1 hunks)
- components/ollama/actions/pull-model/pull-model.mjs (1 hunks)
- components/ollama/actions/push-model/push-model.mjs (1 hunks)
- components/ollama/actions/show-model-information/show-model-information.mjs (1 hunks)
- components/ollama/common/utils.mjs (1 hunks)
- components/ollama/ollama.app.mjs (1 hunks)
- components/ollama/package.json (2 hunks)
🚧 Files skipped from review as they are similar to previous changes (7)
- components/ollama/actions/copy-model/copy-model.mjs
- components/ollama/actions/create-model/create-model.mjs
- components/ollama/actions/delete-model/delete-model.mjs
- components/ollama/actions/list-local-models/list-local-models.mjs
- components/ollama/actions/push-model/push-model.mjs
- components/ollama/actions/show-model-information/show-model-information.mjs
- components/ollama/package.json
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components/ollama/common/utils.mjs
[error] 68-68: isNaN is unsafe. It attempts a type coercion. Use Number.isNaN instead.
See the MDN documentation for more details.
Unsafe fix: Use Number.isNaN instead.(lint/suspicious/noGlobalIsNan)
🔇 Additional comments (20)
components/ollama/actions/pull-model/pull-model.mjs (3)
1-8: LGTM: Well-structured action component definitionThe import statement and the initial properties of the exported object are well-defined. The description is informative and includes a link to the documentation, which is a good practice.
29-36: Implement error handling in pullModel methodAs suggested in a previous review, the
pullModelmethod would benefit from improved error handling. This enhancement would make the component more robust and easier to debug.Please refer to the previous suggestion for implementing try-catch error handling in this method.
1-56: Overall assessment: Good implementation with room for improvementThe
pull-model.mjsfile introduces a well-structured action component for pulling models from the Ollama library. The code is generally well-organized and follows good practices. To further enhance its quality and robustness, consider implementing the suggested improvements:
- Add validation for the 'name' prop.
- Implement error handling in the
pullModelmethod.- Enhance the
runmethod with try-catch error handling and optimization.These changes will make the component more resilient to errors and easier to maintain.
components/ollama/actions/generate-embeddings/generate-embeddings.mjs (4)
1-2: LGTM: Imports are appropriateThe imports for utils and app are correctly sourced from their respective locations.
4-9: LGTM: Action metadata is well-definedThe action metadata is complete and follows Pipedream's conventions. The description provides useful context and includes a link to the API documentation, which is helpful for users.
42-49: LGTM: generateEmbeddings method is well-implementedThe
generateEmbeddingsmethod is concise and follows the pattern of other Ollama actions. It correctly uses the app's post method to make the API call, and the use of a default empty object for args is a good practice.
1-73: Overall: Well-implemented "Generate Embeddings" actionThis new action for generating embeddings in the Ollama component is well-structured and follows Pipedream's best practices. The code is clean, readable, and properly documented. The implementation covers all necessary aspects of the API interaction and provides a good user experience.
While the current implementation is solid and ready for use, consider the previously suggested improvements for input validation and error handling to further enhance the robustness of the action.
Great job on this implementation!
components/ollama/common/utils.mjs (2)
49-56: LGTM:isJsonfunction implementationThe
isJsonfunction is well-implemented:
- It correctly attempts to parse the input as JSON.
- It handles parsing errors appropriately, returning false for invalid JSON.
- The function name accurately describes its purpose.
This utility function will be useful for checking JSON validity without throwing errors.
84-87: LGTM: Comprehensive default exportThe default export provides a well-rounded set of utilities:
- The
parseArraymethod combinesparseArrayandparseJson, ensuring thorough processing of array elements.- Including
parseOptionsmakes it available for use in other modules.This export structure provides a comprehensive set of utilities for parsing and processing JSON data and options.
components/ollama/actions/generate-completion/generate-completion.mjs (6)
1-9: LGTM: Imports and module definition are well-structuredThe imports and module definition are correctly implemented. The inclusion of the API documentation link in the description is particularly helpful for users.
10-54: LGTM: Props are well-defined and comprehensiveThe props definition is comprehensive, including all necessary parameters for the generate completion action. The use of propDefinitions from the app module promotes consistency and reusability across the component.
87-89: LGTM: Proper export and return of responseThe export of a summary message and the return of the full response are both good practices. This provides clear feedback in the Pipedream UI while also giving users access to all data returned by the API.
56-61: 🛠️ Refactor suggestionAdd error handling to the
generateCompletionmethodAs suggested in a previous review, it would be beneficial to add error handling to the
generateCompletionmethod. This will improve the robustness of the component and provide better feedback in case of API errors.Consider implementing the error handling as suggested in the previous review:
generateCompletion(args = {}) { - return this.app.post({ - path: "/generate", - ...args, - }); + try { + return this.app.post({ + path: "/generate", + ...args, + }); + } catch (error) { + throw new Error(`Failed to generate completion: ${error.message}`); + } },
63-73: 🛠️ Refactor suggestionAdd validation for required props
As suggested in a previous review, it's important to validate the required props before making the API call. This will prevent potential errors and provide clearer feedback to the user.
Consider adding validation at the beginning of the
runmethod:async run({ $ }) { + if (!this.model) { + throw new Error("The 'model' prop is required."); + } + if (!this.prompt) { + throw new Error("The 'prompt' prop is required."); + } const { generateCompletion, model, prompt, suffix, images, options, stream, keepAlive, } = this;
75-86: 🛠️ Refactor suggestionFilter out undefined optional parameters
To prevent potential issues with the API, it's advisable to filter out any undefined optional parameters before making the API call. This was also suggested in a previous review.
Consider modifying the
dataobject in thegenerateCompletioncall:const response = await generateCompletion({ $, data: { model, prompt, - suffix, - images, - options: utils.parseOptions(options), - stream, - keep_alive: keepAlive, + ...(suffix && { suffix }), + ...(images && { images }), + ...(options && { options: utils.parseOptions(options) }), + ...(stream !== undefined && { stream }), + ...(keepAlive !== undefined && { keep_alive: keepAlive }), }, });components/ollama/actions/generate-chat-completion/generate-chat-completion.mjs (5)
1-9: LGTM: Imports and action metadata are well-defined.The imports and action metadata are correctly implemented. The description provides a clear purpose and includes a link to the relevant documentation, which is helpful for users.
1-82: Overall, well-implemented chat completion action.The implementation of the chat completion action for Ollama is well-structured and follows good practices. It includes proper imports, clear metadata, comprehensive props definition, and a correct implementation of the required methods.
While there are opportunities for improvement as noted in previous comments (such as changing prop types, enhancing error handling, and refining the success message), the core functionality is correctly implemented.
Great job on this new action component!
19-28: 🛠️ Refactor suggestionConsider changing
messagesandtoolsprops to accept objects directly.The current implementation of
messagesandtoolsasstring[]requiring JSON-formatted strings can be error-prone and less user-friendly. Consider changing these toobject[]to allow direct input of structured data.For
messages:messages: { - type: "string[]", + type: "object[]", label: "Messages", description: "The messages of the chat, this can be used to keep a chat memory...", },For
tools:tools: { - type: "string[]", + type: "object[]", label: "Tools", description: "A list of tools the model can use.", optional: true, },Update the
runmethod accordingly:messages: utils.parseArray(messages), tools: utils.parseArray(tools), +messages, +tools,This change will improve usability and reduce the likelihood of input errors.
48-55: 🛠️ Refactor suggestionEnhance error handling in the
generateChatCompletionmethod.While the current implementation is correct, adding error handling would provide more informative feedback in case of API errors. Consider implementing the following change:
generateChatCompletion(args = {}) { return this.app.post({ path: "/chat", ...args, }).catch(error => { throw new Error(`Failed to generate chat completion: ${error.message}`); }); },This enhancement will help with debugging and provide clearer error messages to the user.
67-77: 🛠️ Refactor suggestionClean up undefined properties in API request data.
To prevent potential issues with undefined values in the API request, consider cleaning the
dataobject before sending the request. You can use a utility function to remove properties withundefinedvalues:const response = await generateChatCompletion({ $, - data: { + data: utils.cleanObject({ model, messages: utils.parseArray(messages), tools: utils.parseArray(tools), options: utils.parseOptions(options), stream, keep_alive: keepAlive, - }, + }), });Ensure that
utils.cleanObjectis implemented to remove properties withundefinedvalues.
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Actionable comments posted: 9
🧹 Outside diff range and nitpick comments (5)
components/ollama/actions/generate-embeddings/generate-embeddings.mjs (2)
10-41: Props are well-defined, but consider adding input validation.The props definition is comprehensive and well-structured. The use of
propDefinitionfrom the app module promotes consistency across the component. Descriptions are clear and informative.Consider adding validation for the
inputprop to ensure it's not empty and that each string in the array is not empty. This can help prevent potential errors during execution. For example:input: { type: "string[]", label: "Input", description: "The list of texts to generate embeddings for.", validate: (value) => { if (!Array.isArray(value) || value.length === 0) { return "Input must be a non-empty array of strings."; } if (value.some(text => typeof text !== 'string' || text.trim() === '')) { return "Each input must be a non-empty string."; } return true; }, },
50-72: The run method is well-structured, but consider enhancing the summary message.The run method is implemented correctly, following the expected pattern for Pipedream actions. The use of destructuring and the parseOptions utility is appropriate.
Consider making the summary message more informative by including details about the operation, such as the number of embeddings generated or the model used. For example:
$.export("$summary", `Successfully generated embeddings for ${input.length} input(s) using the ${model} model.`);This provides more context about the action's execution to the user.
components/ollama/common/utils.mjs (1)
84-87: Approve default export with a suggestionThe default export provides a clean interface for the main utility functions. The composition of
parseArrayandparseJsonis a good approach to ensure all elements of the parsed array are processed.Consider also exporting the
isJsonfunction, as it might be useful in other contexts:export default { parseArray: (value) => parseArray(value).map(parseJson), parseOptions, isJson, };components/ollama/actions/generate-completion/generate-completion.mjs (2)
10-54: Props definition is comprehensive, but consider adding validationThe props definition covers all necessary parameters for the generate-completion action as per the API documentation. Good job using propDefinitions from the app object for consistency across components.
However, consider adding validation for required props like 'model' and 'prompt' as suggested in a past review comment. This can be done in the
runmethod:async run({ $ }) { if (!this.model) { throw new Error("The 'model' prop is required."); } if (!this.prompt) { throw new Error("The 'prompt' prop is required."); } // ... rest of the method }This will ensure that the action fails early if required props are missing.
63-89: Good overall structure, but consider filtering undefined optional parametersThe run method is well-structured, using async/await and object destructuring for readability. The use of a utility function to parse options is a good practice.
However, consider filtering out undefined optional parameters before making the API call, as suggested in a past review comment. This can prevent potential issues with the API:
const response = await generateCompletion({ $, data: { model, prompt, ...(suffix && { suffix }), ...(images && { images }), ...(options && { options: utils.parseOptions(options) }), ...(stream !== undefined && { stream }), ...(keepAlive !== undefined && { keep_alive: keepAlive }), }, });This change ensures that only defined parameters are sent to the API.
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📒 Files selected for processing (13)
- components/ollama/actions/copy-model/copy-model.mjs (1 hunks)
- components/ollama/actions/create-model/create-model.mjs (1 hunks)
- components/ollama/actions/delete-model/delete-model.mjs (1 hunks)
- components/ollama/actions/generate-chat-completion/generate-chat-completion.mjs (1 hunks)
- components/ollama/actions/generate-completion/generate-completion.mjs (1 hunks)
- components/ollama/actions/generate-embeddings/generate-embeddings.mjs (1 hunks)
- components/ollama/actions/list-local-models/list-local-models.mjs (1 hunks)
- components/ollama/actions/pull-model/pull-model.mjs (1 hunks)
- components/ollama/actions/push-model/push-model.mjs (1 hunks)
- components/ollama/actions/show-model-information/show-model-information.mjs (1 hunks)
- components/ollama/common/utils.mjs (1 hunks)
- components/ollama/ollama.app.mjs (1 hunks)
- components/ollama/package.json (2 hunks)
🚧 Files skipped from review as they are similar to previous changes (8)
- components/ollama/actions/copy-model/copy-model.mjs
- components/ollama/actions/create-model/create-model.mjs
- components/ollama/actions/delete-model/delete-model.mjs
- components/ollama/actions/list-local-models/list-local-models.mjs
- components/ollama/actions/pull-model/pull-model.mjs
- components/ollama/actions/push-model/push-model.mjs
- components/ollama/actions/show-model-information/show-model-information.mjs
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components/ollama/common/utils.mjs
[error] 68-68: isNaN is unsafe. It attempts a type coercion. Use Number.isNaN instead.
See the MDN documentation for more details.
Unsafe fix: Use Number.isNaN instead.(lint/suspicious/noGlobalIsNan)
🔇 Additional comments (22)
components/ollama/actions/generate-embeddings/generate-embeddings.mjs (3)
1-2: LGTM: Imports are appropriate and correctly structured.The import statements are well-organized, importing necessary utilities and the app module from their respective locations.
4-9: LGTM: Action metadata is well-defined and informative.The action metadata is complete and follows the expected structure for a Pipedream action. The description is clear and includes a helpful link to the official documentation.
42-49: LGTM: ThegenerateEmbeddingsmethod is well-implemented.The method is concise and follows the expected pattern for making API requests in Pipedream components. The use of default parameters and the spread operator is appropriate.
components/ollama/common/utils.mjs (1)
49-56: LGTM:isJsonfunction is well-implementedThe
isJsonfunction is concise and correctly implements the check for valid JSON strings. It handles potential parsing errors appropriately and returns a boolean result as expected.components/ollama/actions/generate-completion/generate-completion.mjs (2)
1-9: LGTM: Component definition and imports are well-structuredThe component definition aligns with the PR objectives, specifically addressing the "generate-completion" action mentioned in the linked issue. The imports, key, name, description, and type are all appropriately set. Good job including the documentation link in the description.
1-90: Overall implementation is solid, with room for minor improvementsThe "Generate Completion" action for Ollama has been successfully implemented, meeting the requirements outlined in the PR objectives and the linked issue. The component structure, props definition, and core functionality are all well-implemented.
To further enhance the component, consider implementing the following improvements:
- Add validation for required props ('model' and 'prompt') in the run method.
- Implement error handling in the
generateCompletionmethod.- Filter out undefined optional parameters before making the API call in the run method.
These changes will improve the robustness and reliability of the component, making it more resilient to potential errors and edge cases.
Great job on the implementation! With these minor adjustments, the component will be even more solid and user-friendly.
components/ollama/actions/generate-chat-completion/generate-chat-completion.mjs (4)
1-9: LGTM: Imports and action metadata are well-defined.The imports and action metadata are correctly implemented. The description provides a clear purpose and includes a link to the documentation, which is helpful for users.
1-82: Overall implementation aligns well with PR objectives.The
generate-chat-completionaction is well-implemented and aligns with the objectives outlined in the PR description and linked issue #14232. It provides the functionality to generate chat completions using the Ollama API, including support for models, messages, tools, and various options.Key points:
- The action correctly implements the "generate-chat-completion" functionality as specified in the objectives.
- The implementation includes all necessary components: imports, metadata, props, methods, and execution logic.
- The props cover all required inputs, including model, messages, tools, and additional options.
- The
generateChatCompletionmethod andrunfunction provide the core functionality for interacting with the Ollama API.While the overall implementation is good, consider the suggested improvements for error handling, prop definitions, and data cleanup to enhance robustness and user experience.
19-28: 🛠️ Refactor suggestionConsider changing
messagesandtoolsprops to accept objects directly.Currently,
messagesandtoolsare defined asstring[]where each string is a JSON-formatted object. This approach can be error-prone and less user-friendly. Consider changing these props to accept arrays of objects directly (object[]). This would improve usability and reduce the chance of input errors.For example:
messages: { type: "object[]", label: "Messages", description: "The messages of the chat...", }, tools: { type: "object[]", label: "Tools", description: "A list of tools the model can use.", optional: true, },Then, update the
runmethod to use these objects directly without parsing:messages, tools,instead of:
messages: utils.parseArray(messages), tools: utils.parseArray(tools),
48-55: 🛠️ Refactor suggestionEnhance error handling in the
generateChatCompletionmethod.While the method is correctly implemented, consider adding error handling to provide more informative feedback in case of API errors. For example:
generateChatCompletion(args = {}) { return this.app.post({ path: "/chat", ...args, }).catch(error => { throw new Error(`Failed to generate chat completion: ${error.message}`); }); },This will help in debugging and provide clearer error messages to the user.
components/ollama/ollama.app.mjs (12)
1-1: LGTM: Import statement is correct.The import of
axiosfrom "@pipedream/platform" is appropriate for making HTTP requests in this Ollama app.
7-15: LGTM: Well-defined model property with dynamic options.The
modelproperty is well-defined with appropriate type, label, and description. The asyncoptionsmethod to retrieve local model names is a good approach for providing dynamic options to the user.
16-20: LGTM: Prompt property is correctly defined.The
promptproperty is correctly defined with appropriate type, label, and description for inputting the prompt to generate a response.
21-26: LGTM: Optional suffix property is well-defined.The
suffixproperty is correctly defined as an optional string property with an appropriate description for appending text after the model's response.
27-32: LGTM: Images property for multimodal models.The
imagesproperty is well-defined as an optional array of strings for including base64-encoded images, specifically for multimodal models.
33-38: LGTM: Advanced options property with external documentation reference.The
optionsproperty is correctly defined as an optional object for advanced model parameters, with a helpful reference to external documentation.
39-44: LGTM: Insecure property for development purposes.The
insecureproperty is well-defined as an optional boolean with a clear description of its purpose and the associated risks.
45-51: LGTM: Stream property with default value.The
streamproperty is correctly defined as an optional boolean with a clear description and a default value of false.
60-62: LGTM: getUrl method is correctly implemented.The
getUrlmethod correctly constructs the API URL using the base URL from authentication and the provided path.
81-86: LGTM: post method is correctly implemented.The
postmethod correctly uses the_makeRequestmethod to make POST requests.
87-92: LGTM: delete method is correctly implemented.The
deletemethod correctly uses the_makeRequestmethod to make DELETE requests.
Line range hint
1-101: Overall, the Ollama app implementation is well-structured with room for minor improvements.The file
components/ollama/ollama.app.mjsprovides a comprehensive implementation of the Ollama app, including well-defined properties and methods for interacting with the Ollama API. The code is generally well-organized and follows good practices.Key points from the review:
- The
keepAliveproperty type could be changed to integer for better clarity.- The
getHeadersand_makeRequestmethods could be simplified for improved readability.- Consider adding a
getmethod for consistency with other HTTP operation helpers.These minor improvements will enhance the overall quality and maintainability of the code.
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Actionable comments posted: 8
🧹 Outside diff range and nitpick comments (5)
components/ollama/actions/generate-embeddings/generate-embeddings.mjs (2)
10-41: Props are well-defined, consider input validationThe props are comprehensive and well-described, covering all necessary parameters for generating embeddings. The use of propDefinitions from the app ensures consistency across the component.
Consider adding input validation for the
inputprop to ensure it's not empty. You could add aminproperty to the prop definition:input: { type: "string[]", label: "Input", description: "The list of texts to generate embeddings for.", min: 1, },This will ensure that at least one input string is provided.
50-72: Run function is well-implemented, consider adding error handlingThe run function is correctly implemented, following Pipedream's best practices. It properly uses the
generateEmbeddingsmethod and handles the response appropriately.Consider adding error handling to provide more informative feedback to users in case of API errors. Here's an example of how you could implement this:
async run({ $ }) { const { generateEmbeddings, model, input, truncate, options, keepAlive, } = this; try { const response = await generateEmbeddings({ $, data: { model, input, truncate, options: utils.parseOptions(options), keep_alive: keepAlive, }, }); $.export("$summary", "Successfully generated embeddings."); return response; } catch (error) { $.export("$summary", `Failed to generate embeddings: ${error.message}`); throw error; } }This will provide more detailed error information to the user if the API call fails.
components/ollama/actions/generate-completion/generate-completion.mjs (1)
10-54: Props definition is comprehensive, consider adding validationThe props definition covers all necessary parameters for the Ollama API and promotes consistency by using propDefinitions from the app object. However, consider adding validation for critical props like 'model' and 'prompt' to ensure they are not empty or undefined before making the API call.
You could add validation in the
runmethod:async run({ $ }) { if (!this.model) { throw new Error("The 'model' prop is required."); } if (!this.prompt) { throw new Error("The 'prompt' prop is required."); } // ... rest of the method }components/ollama/ollama.app.mjs (2)
7-15: LGTM with a suggestion: Add error handling to the options method.The
modelproperty definition is well-structured and includes necessary information. The async options method is a good approach for dynamically populating model choices.However, consider adding error handling to the
optionsmethod to gracefully handle potential failures when retrieving local models.Here's a suggested improvement:
async options() { try { const { models } = await this.listLocalModels(); return models.map(({ name }) => name); } catch (error) { console.error("Error fetching local models:", error); return []; // Return an empty array or a default set of models } },
93-97: LGTM for listLocalModels, but consider adding a GET method.The
listLocalModelsmethod is correctly implemented to fetch local models from the "/tags" endpoint.For consistency with the existing
postanddeletemethods, consider adding a generalgetmethod:get(args = {}) { return this._makeRequest({ method: "GET", ...args, }); },Then, you could refactor
listLocalModelsto use this new method:listLocalModels(args = {}) { return this.get({ path: "/tags", ...args, }); },This addition would provide a consistent set of helper methods for common HTTP operations and potentially simplify future GET request implementations.
📜 Review details
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Review profile: CHILL
⛔ Files ignored due to path filters (1)
pnpm-lock.yamlis excluded by!**/pnpm-lock.yaml
📒 Files selected for processing (13)
- components/ollama/actions/copy-model/copy-model.mjs (1 hunks)
- components/ollama/actions/create-model/create-model.mjs (1 hunks)
- components/ollama/actions/delete-model/delete-model.mjs (1 hunks)
- components/ollama/actions/generate-chat-completion/generate-chat-completion.mjs (1 hunks)
- components/ollama/actions/generate-completion/generate-completion.mjs (1 hunks)
- components/ollama/actions/generate-embeddings/generate-embeddings.mjs (1 hunks)
- components/ollama/actions/list-local-models/list-local-models.mjs (1 hunks)
- components/ollama/actions/pull-model/pull-model.mjs (1 hunks)
- components/ollama/actions/push-model/push-model.mjs (1 hunks)
- components/ollama/actions/show-model-information/show-model-information.mjs (1 hunks)
- components/ollama/common/utils.mjs (1 hunks)
- components/ollama/ollama.app.mjs (1 hunks)
- components/ollama/package.json (2 hunks)
🚧 Files skipped from review as they are similar to previous changes (8)
- components/ollama/actions/copy-model/copy-model.mjs
- components/ollama/actions/create-model/create-model.mjs
- components/ollama/actions/delete-model/delete-model.mjs
- components/ollama/actions/list-local-models/list-local-models.mjs
- components/ollama/actions/pull-model/pull-model.mjs
- components/ollama/actions/push-model/push-model.mjs
- components/ollama/actions/show-model-information/show-model-information.mjs
- components/ollama/package.json
🧰 Additional context used
🪛 Biome
components/ollama/common/utils.mjs
[error] 68-68: isNaN is unsafe. It attempts a type coercion. Use Number.isNaN instead.
See the MDN documentation for more details.
Unsafe fix: Use Number.isNaN instead.(lint/suspicious/noGlobalIsNan)
🔇 Additional comments (18)
components/ollama/actions/generate-embeddings/generate-embeddings.mjs (4)
1-2: LGTM: Imports are appropriateThe imports for utils and app are correctly sourced from their respective locations.
4-9: LGTM: Action metadata is well-definedThe action metadata is complete and follows Pipedream's conventions. The description provides useful context and includes a link to the API documentation, which is helpful for users.
42-49: LGTM: generateEmbeddings method is well-implementedThe
generateEmbeddingsmethod is concise and correctly utilizes the app's post method for API interaction. The use of a default empty object forargsis a good practice for handling optional parameters.
1-73: Overall: Well-implemented action with minor improvement suggestionsThis new "Generate Embeddings" action for the Ollama component is well-structured and follows Pipedream's conventions and best practices. The code is clean, readable, and properly organized.
Key strengths:
- Clear and informative prop definitions
- Efficient use of the app's methods for API interaction
- Well-structured run function
Suggestions for improvement:
- Add input validation for the
inputprop- Implement error handling in the run function
These suggestions are aimed at enhancing the robustness and user experience of the action, but the current implementation is already of high quality and ready for use.
components/ollama/common/utils.mjs (2)
49-56: LGTM:isJsonfunction implementationThe
isJsonfunction is well-implemented. It effectively checks if a string can be parsed as JSON and returns a boolean result. The try-catch block correctly handles parsing errors, returning false for invalid JSON.
84-87: LGTM: Default export implementationThe default export is well-structured, combining the
parseArrayandparseOptionsutility functions. The modification toparseArrayto mapparseJsonover its results ensures that all elements of the parsed array are properly processed. This implementation provides a clean and efficient way to use these utility functions.components/ollama/actions/generate-completion/generate-completion.mjs (4)
1-2: Imports look goodThe imports for utils and app are appropriate for the functionality of this module.
4-9: Action definition is well-structuredThe action definition includes all necessary fields and provides a clear description with a link to the API documentation. The version "0.0.1" is appropriate for a new component.
55-62: Add error handling to thegenerateCompletionmethodWhile the method is concise, it lacks error handling. To improve robustness, consider adding a try-catch block as suggested in a past review comment:
generateCompletion(args = {}) { try { return this.app.post({ path: "/generate", ...args, }); } catch (error) { throw new Error(`Failed to generate completion: ${error.message}`); } },This will provide more informative error messages if the API request fails.
63-89: Filter out undefined optional parameters before API callTo prevent potential issues with the API, consider filtering out any undefined optional parameters before making the API call. This was suggested in a past review comment and is still applicable. You can modify the data object in the
generateCompletioncall as follows:const response = await generateCompletion({ $, data: { model, prompt, ...(suffix && { suffix }), ...(images && { images }), ...(options && { options: utils.parseOptions(options) }), ...(stream !== undefined && { stream }), ...(keepAlive !== undefined && { keep_alive: keepAlive }), }, });This ensures that only defined parameters are sent to the API.
components/ollama/actions/generate-chat-completion/generate-chat-completion.mjs (3)
1-9: LGTM: Imports and action metadata are well-defined.The imports and action metadata are correctly implemented. The description provides a clear purpose and includes a link to the relevant documentation, which is helpful for users.
1-82: Overall implementation is solid with room for improvements.The chat completion action for Ollama is well-structured and implements the necessary functionality. However, there are several areas where the code can be improved:
- Change the 'messages' and 'tools' props to accept objects directly instead of JSON strings.
- Enhance error handling in both the
generateChatCompletionandrunmethods.- Clean up undefined properties before sending the request in the
runmethod.Implementing these suggestions will improve the robustness and user-friendliness of the action. Great job on the initial implementation!
19-28: 🛠️ Refactor suggestionConsider changing 'messages' and 'tools' props to accept objects directly.
The current implementation of 'messages' and 'tools' as
string[]requiring JSON-formatted input can be error-prone and less user-friendly. Consider changing these toobject[]to allow direct input of structured data.For 'messages':
messages: { - type: "string[]", + type: "object[]", label: "Messages", description: "The messages of the chat, this can be used to keep a chat memory...", },For 'tools':
tools: { - type: "string[]", + type: "object[]", label: "Tools", description: "A list of tools the model can use.", optional: true, },Update the
runmethod accordingly:messages: utils.parseArray(messages), tools: utils.parseArray(tools), +messages, +tools,This change would improve usability and reduce the likelihood of input errors.
Likely invalid or redundant comment.
components/ollama/ollama.app.mjs (5)
1-6: LGTM: Import and app definition are correct.The import statement and app definition are properly set up. The use of
axiosfrom the Pipedream platform is appropriate for making HTTP requests in this context.
16-38: LGTM: Well-defined properties with clear descriptions.The
prompt,suffix,images, andoptionsproperties are well-defined with appropriate types, labels, and descriptions. The use of optional properties provides flexibility for API usage. The reference to external documentation for theoptionsproperty is a good practice for advanced parameters.
60-62: LGTM: URL construction method is correct.The
getUrlmethod correctly constructs the API URL by combining the base URL from authentication with the provided path. This approach ensures flexibility and maintainability for API endpoint management.
81-86: LGTM: POST method wrapper is well-implemented.The
postmethod is a well-implemented wrapper for POST requests using the_makeRequestmethod. This abstraction promotes code reuse and maintainability.
87-92: LGTM: DELETE method wrapper is well-implemented.The
deletemethod is a well-implemented wrapper for DELETE requests using the_makeRequestmethod. This implementation is consistent with thepostmethod and promotes code reuse and maintainability.
| const parseJson = (input) => { | ||
| const parse = (value) => { | ||
| if (typeof(value) === "string") { | ||
| try { | ||
| return parseJson(JSON.parse(value)); | ||
| } catch (e) { | ||
| return value; | ||
| } | ||
| } else if (typeof(value) === "object" && value !== null) { | ||
| return Object.entries(value) | ||
| .reduce((acc, [ | ||
| key, | ||
| val, | ||
| ]) => Object.assign(acc, { | ||
| [key]: parse(val), | ||
| }), {}); | ||
| } | ||
| return value; | ||
| }; | ||
|
|
||
| return parse(input); | ||
| }; |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Consider enhancing parseJson function for better error handling and array support
While the parseJson function effectively handles nested JSON structures, there are a few areas for improvement:
- The function name could be more descriptive. Consider renaming it to
parseAndProcessJsonorrecursiveJsonParse. - Error handling for JSON parsing is silent, which could hide issues. Consider logging the error or handling it more explicitly.
- There's no explicit handling for arrays, which are valid JSON structures.
Here's a suggested improvement that addresses these points:
const parseAndProcessJson = (input) => {
const parse = (value) => {
if (typeof value === "string") {
try {
return parse(JSON.parse(value));
} catch (e) {
console.warn("Failed to parse JSON string:", e);
return value;
}
} else if (Array.isArray(value)) {
return value.map(parse);
} else if (typeof value === "object" && value !== null) {
return Object.entries(value).reduce((acc, [key, val]) => ({
...acc,
[key]: parse(val),
}), {});
}
return value;
};
return parse(input);
};This version includes array handling, logs parsing errors, and uses a more descriptive function name.
| function parseArray(value) { | ||
| try { | ||
| if (!value) { | ||
| return []; | ||
| } | ||
|
|
||
| if (Array.isArray(value)) { | ||
| return value; | ||
| } | ||
|
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||
| const parsedValue = JSON.parse(value); | ||
|
|
||
| if (!Array.isArray(parsedValue)) { | ||
| throw new Error("Not an array"); | ||
| } | ||
|
|
||
| return parsedValue; | ||
|
|
||
| } catch (e) { | ||
| throw new ConfigurationError("Make sure the custom expression contains a valid array object"); | ||
| } | ||
| } |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Enhance error handling and input validation in parseArray
The parseArray function has been improved, but there's still room for enhancement in error handling and input validation:
- The function doesn't distinguish between different types of errors (e.g., JSON parsing errors vs. non-array results).
- The error message is generic and doesn't provide specific information about the failure.
Consider the following improvements:
function parseArray(value) {
if (!value) {
return [];
}
if (Array.isArray(value)) {
return value;
}
if (typeof value !== 'string') {
throw new ConfigurationError(`Expected a string or an array, but received ${typeof value}`);
}
try {
const parsedValue = JSON.parse(value);
if (!Array.isArray(parsedValue)) {
throw new ConfigurationError(`Parsed value is not an array, but ${typeof parsedValue}`);
}
return parsedValue;
} catch (e) {
if (e instanceof SyntaxError) {
throw new ConfigurationError(`Invalid JSON string: ${e.message}`);
}
throw e;
}
}This version provides more specific error messages and handles different error scenarios separately, making it easier for users to debug issues.
| function parseOptions(options) { | ||
| if (!options) { | ||
| return; | ||
| } | ||
| return Object.fromEntries( | ||
| Object.entries(options) | ||
| .map(([ | ||
| key, | ||
| value, | ||
| ]) => { | ||
| let parsedValue = isNaN(value) | ||
| ? value | ||
| : Number(value); | ||
|
|
||
| parsedValue = isJson(value) | ||
| ? JSON.parse(value) | ||
| : parsedValue; | ||
|
|
||
| return [ | ||
| key, | ||
| parsedValue, | ||
| ]; | ||
| }), | ||
| ); | ||
| } |
There was a problem hiding this comment.
Approve parseOptions with a suggestion for improvement
The parseOptions function is well-implemented and provides a flexible way to parse different types of option values. However, there's one area for improvement:
The use of isNaN for number conversion is potentially unsafe, as flagged by static analysis. Consider using Number.isNaN instead for more predictable behavior.
Here's a suggested improvement for the number conversion part:
let parsedValue = Number.isNaN(Number(value))
? value
: Number(value);This change ensures that only actual NaN values are treated as non-numeric, providing more consistent behavior across different input types.
🧰 Tools
🪛 Biome
[error] 68-68: isNaN is unsafe. It attempts a type coercion. Use Number.isNaN instead.
See the MDN documentation for more details.
Unsafe fix: Use Number.isNaN instead.(lint/suspicious/noGlobalIsNan)
| methods: { | ||
| generateChatCompletion(args = {}) { | ||
| return this.app.post({ | ||
| path: "/chat", | ||
| ...args, | ||
| }); | ||
| }, | ||
| }, |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Enhance error handling in the generateChatCompletion method.
While the method is correctly implemented, it lacks error handling. Consider adding a try-catch block to provide more informative feedback in case of API errors:
generateChatCompletion(args = {}) {
return this.app.post({
path: "/chat",
...args,
}).catch(error => {
throw new Error(`Failed to generate chat completion: ${error.message}`);
});
},This will help in debugging and provide clearer error messages to the user.
| async run({ $ }) { | ||
| const { | ||
| generateChatCompletion, | ||
| model, | ||
| messages, | ||
| tools, | ||
| options, | ||
| stream, | ||
| keepAlive, | ||
| } = this; | ||
|
|
||
| const response = await generateChatCompletion({ | ||
| $, | ||
| data: { | ||
| model, | ||
| messages: utils.parseArray(messages), | ||
| tools: utils.parseArray(tools), | ||
| options: utils.parseOptions(options), | ||
| stream, | ||
| keep_alive: keepAlive, | ||
| }, | ||
| }); | ||
|
|
||
| $.export("$summary", "Successfully generated chat completion."); | ||
| return response; | ||
| }, |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Improve error handling and clean up undefined properties in the run method.
- Add error handling for the API call:
try {
const response = await generateChatCompletion({
// ... existing code ...
});
$.export("$summary", "Successfully generated chat completion.");
return response;
} catch (error) {
$.export("$summary", `Failed to generate chat completion: ${error.message}`);
throw error;
}- Clean up undefined properties in the request data:
const data = {
model,
messages: utils.parseArray(messages),
tools: utils.parseArray(tools),
options: utils.parseOptions(options),
stream,
keep_alive: keepAlive,
};
const response = await generateChatCompletion({
$,
data: Object.fromEntries(Object.entries(data).filter(([_, v]) => v != null)),
});These changes will improve error reporting and prevent sending undefined properties to the API.
| insecure: { | ||
| type: "boolean", | ||
| label: "Insecure", | ||
| description: "Allow insecure connections to the library. Only use this if you are pulling from your own library during development.", | ||
| optional: true, | ||
| }, | ||
| stream: { | ||
| type: "boolean", | ||
| label: "Stream", | ||
| description: "If `false` the response will be returned as a single response object, rather than a stream of objects.", | ||
| optional: true, | ||
| default: false, | ||
| }, | ||
| keepAlive: { | ||
| type: "string", | ||
| label: "Keep Alive", | ||
| description: "Controls how long the model will stay loaded into memory following the request (default: 5m).", | ||
| optional: true, | ||
| }, |
There was a problem hiding this comment.
LGTM for insecure and stream, but keepAlive needs adjustment.
The insecure and stream properties are well-defined with clear descriptions and appropriate types.
However, the keepAlive property should be adjusted:
Change the keepAlive property as follows:
keepAlive: {
type: "integer",
label: "Keep Alive",
description: "Controls how long (in seconds) the model will stay loaded into memory following the request. Default is 300 seconds (5 minutes).",
optional: true,
},This change will provide clearer expectations for users and ensure consistent input handling.
| getHeaders(headers) { | ||
| const { apiKey } = this.$auth; | ||
| return { | ||
| ...headers, | ||
| ...(apiKey && { | ||
| Authorization: `Bearer ${apiKey}`, | ||
| }), | ||
| }; | ||
| }, |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Consider simplifying the getHeaders method.
While the current implementation is functional, it can be simplified for better readability without changing its behavior.
Consider refactoring the method as follows:
getHeaders(headers = {}) {
const { apiKey } = this.$auth;
if (apiKey) {
headers.Authorization = `Bearer ${apiKey}`;
}
return headers;
},This change maintains the functionality while making the code more straightforward and easier to understand.
| _makeRequest({ | ||
| $ = this, path, headers, ...args | ||
| } = {}) { | ||
| return axios($, { | ||
| ...args, | ||
| url: this.getUrl(path), | ||
| headers: this.getHeaders(headers), | ||
| }); | ||
| }, |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Consider simplifying the _makeRequest method signature.
The _makeRequest method effectively centralizes request logic, but its signature can be simplified.
Consider updating the method signature as follows:
_makeRequest({
path, headers, ...args
} = {}) {
return axios(this, {
...args,
url: this.getUrl(path),
headers: this.getHeaders(headers),
});
},This change simplifies the method signature without affecting its functionality, making it more concise and easier to understand.
WHY
Resolves #14232
Summary by CodeRabbit
New Features
Bug Fixes
Chores
0.0.1to0.1.0and added new dependencies.