Add datasets #215
Add datasets #215
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Warning Rate limit exceeded@adamnolte has exceeded the limit for the number of commits or files that can be reviewed per hour. Please wait 24 minutes and 26 seconds before requesting another review. ⌛ How to resolve this issue?After the wait time has elapsed, a review can be triggered using the We recommend that you space out your commits to avoid hitting the rate limit. 🚦 How do rate limits work?CodeRabbit enforces hourly rate limits for each developer per organization. Our paid plans have higher rate limits than the trial, open-source and free plans. In all cases, we re-allow further reviews after a brief timeout. Please see our FAQ for further information. 📝 Walkthrough📝 Walkthrough📝 Walkthrough📝 Walkthrough📝 WalkthroughWalkthroughThe pull request introduces several modifications, including the addition of a new command-line interface for dataset management, enhancements to the ESLint configuration for TypeScript files, and the introduction of new types and interfaces for dataset schemas. A new script ( Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant CLI
participant API
participant FileSystem
User->>CLI: Execute command (e.g., generate)
CLI->>API: Fetch dataset schemas
API-->>CLI: Return dataset schemas
CLI->>FileSystem: Generate TypeScript interfaces
FileSystem-->>CLI: Save generated interfaces
CLI-->>User: Output success message
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Actionable comments posted: 8
🧹 Outside diff range and nitpick comments (6)
src/datasets/index.ts (1)
1-5: LGTM! Consider adding a brief comment for clarity.The re-export of types with cleaner aliases is a good practice. It provides a clear, centralized point for importing dataset-related types and abstracts away the auto-generation details from the rest of the codebase.
Consider adding a brief comment above the export statement to explain the purpose of this file and the origin of these types. For example:
// Re-export auto-generated dataset types with clean aliases export type { __Autogenerated__DatasetName as DatasetName, __Autogenerated__DatasetSchemaVersion as DatasetSchemaVersion, __Autogenerated__DatasetItem as DatasetItem, } from './autogenerated';This comment would help other developers quickly understand the file's purpose and the source of these types.
bin/datasets-cli.js (2)
5-11: LGTM with a minor suggestion: Consider handling the no-argument caseThe
mainfunction is well-structured and handles the 'generate' command appropriately. The error message for unknown commands is clear and informative.Consider adding a check for the case where no arguments are provided. This could improve the user experience by providing guidance on how to use the CLI. Here's a suggested modification:
async function main() { - if (process.argv[2] === 'generate') { + if (process.argv.length < 3) { + console.error('Usage: datasets-cli <command>'); + console.error('Available commands: generate'); + } else if (process.argv[2] === 'generate') { await run(); } else { console.error(`Unknown command: ${process.argv.slice(2).join(' ')}`); } }
1-13: Suggestion: Consider a more robust command handling structureWhile the current implementation works for a single command, it may become harder to maintain as more commands are added. Additionally, it's important to ensure that the
runfunction is properly secured against potential malicious input.
Consider implementing a command pattern or using a CLI framework like Commander.js for better scalability and maintainability as more commands are added.
Ensure that the
runfunction in the imported module performs proper input validation and sanitization to prevent potential security risks.Here's a conceptual example of how you might structure this using a command pattern:
#!/usr/bin/env node const { generate } = require('../dist/datasets-cli'); const commands = { generate: generate, // Add more commands here as needed }; async function main() { const command = process.argv[2]; if (!command) { console.error('Usage: datasets-cli <command>'); console.error('Available commands:', Object.keys(commands).join(', ')); process.exit(1); } const runCommand = commands[command]; if (runCommand) { try { await runCommand(); } catch (error) { console.error(`Error executing ${command}:`, error); process.exit(1); } } else { console.error(`Unknown command: ${command}`); process.exit(1); } } main().catch(error => { console.error('An unexpected error occurred:', error); process.exit(1); });This structure allows for easier addition of new commands and provides better error handling and user feedback.
src/index.ts (1)
14-18: LGTM! Consider adding JSDoc comments for the new types.The addition of these new type exports from the './datasets' module aligns well with the PR objective of adding datasets. The exports are consistent with the existing style in the file and will enhance type safety for dataset-related operations throughout the project.
To improve code documentation, consider adding JSDoc comments for these new types. This would provide more context about their purpose and usage. For example:
export type { /** Represents the name of a dataset */ DatasetName, /** Represents the schema version of a dataset */ DatasetSchemaVersion, /** Represents an item within a dataset */ DatasetItem, } from './datasets';test/datasets-cli/index.spec.ts (2)
10-94: LGTM: Comprehensive test data setup with a suggestion.The test data covers various scenarios, including multiple schema versions, different property types, and an empty schema. This comprehensive setup should effectively test the autogeneration functionality.
Consider extracting the test data into a separate constant or fixture to improve readability and maintainability. This would make it easier to update or extend the test data in the future.
const TEST_DATASETS: ParsedDataset[] = [ // ... (existing dataset definitions) ]; // In the test case const autogenerated = config?.generate({ symbolName, datasets: TEST_DATASETS, });
96-122: LGTM: Thorough assertion with a suggestion for improvement.The test assertion thoroughly checks the autogenerated output against the expected TypeScript interface definitions. The expected output correctly covers all datasets and their schema versions, including proper handling of optional properties and union types.
To improve maintainability and reduce the risk of formatting-related test failures, consider using a snapshot test instead of a hardcoded string comparison. This approach would make it easier to update the expected output when the autogeneration logic changes:
expect(autogenerated).toMatchSnapshot();This change would require updating the test framework to support snapshot testing if it's not already configured.
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📒 Files selected for processing (12)
- .lintstagedrc.yaml (1 hunks)
- bin/datasets-cli.js (1 hunks)
- eslint.config.mjs (1 hunks)
- package.json (1 hunks)
- src/client.ts (2 hunks)
- src/datasets-cli/index.ts (1 hunks)
- src/datasets-cli/types.ts (1 hunks)
- src/datasets/autogenerated.ts (1 hunks)
- src/datasets/index.ts (1 hunks)
- src/index.ts (1 hunks)
- test/datasets-cli/index.spec.ts (1 hunks)
- tsup.config.js (1 hunks)
🧰 Additional context used
🪛 Biome
src/datasets/autogenerated.ts
[error] 4-5: An empty interface is equivalent to {}.
Safe fix: Use a type alias instead.
(lint/suspicious/noEmptyInterface)
🔇 Additional comments (13)
.lintstagedrc.yaml (1)
4-4: Consider the implications of adding--no-warn-ignoredflagThe addition of the
--no-warn-ignoredflag to the ESLint command for TypeScript files will suppress warnings about ignored files. While this can reduce noise in the linting output, especially in large projects, it might also hide potentially important information.Consider the following points:
- Ensure that this change aligns with your team's preferences for linting output verbosity.
- Be aware that this might make it less obvious which files are being ignored by ESLint.
- For consistency, you might want to apply this flag to all file types, not just TypeScript files, if it's deemed beneficial for the project.
To understand the impact of this change, you can run the following command to see which files are currently being ignored by ESLint:
This will help in assessing whether suppressing ignored file warnings is appropriate for your project.
bin/datasets-cli.js (1)
1-3: LGTM: Proper setup for a Node.js CLI scriptThe shebang and import statement are correctly implemented for a Node.js command-line interface script. The use of a compiled version of the CLI (from '../dist/datasets-cli') is a good practice, especially if the main logic is written in TypeScript.
tsup.config.js (1)
10-11: LGTM! Verify the existence of the new modules.The additions to the
entryarray are consistent with the existing pattern and will include the new datasets modules in the build process. This change looks good and aligns with the PR objectives of adding datasets functionality.To ensure the new modules exist, please run the following script:
This script will help confirm that the new modules have been properly created and contain the expected content.
✅ Verification successful
Verified! The new modules exist and are properly included in the build process.
The additions to the
entryarray intsup.config.jscorrectly include'src/datasets/index.ts'and'src/datasets-cli/index.ts'. Both modules are present and contain the expected content, ensuring they will be incorporated into the build as intended.🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Verify the existence of the new dataset modules # Test: Check if the new module files exist fd -t f "index.ts" src/datasets src/datasets-cli # Test: Verify the content of these files (optional, but recommended) fd -t f "index.ts" src/datasets src/datasets-cli -x catLength of output: 6662
src/datasets/autogenerated.ts (5)
7-8: LGTM: __Autogenerated__DatasetName type definitionThe
__Autogenerated__DatasetNametype is well-defined, ensuring that dataset names are both keys of the autogenerated types and strings. This aligns with the intended purpose described in the comments.
9-11: LGTM: Well-structured generic type for dataset schema versionsThe
__Autogenerated__DatasetSchemaVersiongeneric type is well-defined and provides strong type safety. It ensures that:
- Only valid dataset names (T extends __Autogenerated__DatasetName) can be used.
- The returned type is both a key of the specific dataset's schema versions and a string.
This structure will help prevent errors when working with different datasets and their schema versions.
12-15: LGTM: Excellent type-safe definition for dataset itemsThe
__Autogenerated__DatasetItemgeneric type is well-structured and provides strong type safety. It ensures that:
- Only valid dataset names (T extends __Autogenerated__DatasetName) can be used.
- Only valid schema versions (U extends __Autogenerated__DatasetSchemaVersion) for the given dataset can be used.
- The returned type is the specific item type for the given dataset and schema version.
This structure will help prevent errors and provide excellent autocomplete support when working with different datasets, their schema versions, and the corresponding item types.
1-15: Overall: Well-structured foundation for type-safe dataset managementThis file provides an excellent TypeScript structure for managing datasets with different schema versions. Key points:
- The use of generics and type constraints ensures type safety when working with datasets.
- The structure will facilitate autocomplete and error prevention in IDEs.
- The design accommodates future autogeneration of dataset types.
The only potential issue is the empty interface, which should be verified as necessary for the autogeneration process. If it is required, consider adding a comment to explain its purpose and suppress static analysis warnings.
Great job on setting up this type-safe foundation for dataset management!
🧰 Tools
🪛 Biome
[error] 4-5: An empty interface is equivalent to {}.
Safe fix: Use a type alias instead.
(lint/suspicious/noEmptyInterface)
1-5: Consider the implications of using an empty interfaceThe empty interface
__Autogenerated__DatasetsTypesserves as a placeholder for future autogenerated content. While the static analysis tool suggests using a type alias instead, changing this might interfere with the autogeneration process.To ensure this approach aligns with the autogeneration strategy, please verify:
- The CLI command that will populate this interface.
- Whether using an empty interface is necessary for the autogeneration process.
If the empty interface is indeed required, consider adding a comment explaining why it's necessary despite being empty, to suppress future static analysis warnings.
✅ Verification successful
Verified: The empty interface
__Autogenerated__DatasetsTypesis appropriately used within the codebase and testing framework.
- References found in both source and test files confirm its necessity for the autogeneration process and testing.
- Changing it to a type alias may disrupt existing functionality.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Search for references to __Autogenerated__DatasetsTypes to understand its usage rg --type typescript "__Autogenerated__DatasetsTypes"Length of output: 88
Script:
#!/bin/bash # Description: Search for references to __Autogenerated__DatasetsTypes using the correct file type rg --type ts "__Autogenerated__DatasetsTypes"Length of output: 690
🧰 Tools
🪛 Biome
[error] 4-5: An empty interface is equivalent to {}.
Safe fix: Use a type alias instead.
(lint/suspicious/noEmptyInterface)
eslint.config.mjs (1)
26-26: LGTM: Appropriate addition to ESLint ignore listThe addition of 'src/datasets/autogenerated.ts' to the ESLint ignore list is appropriate and consistent with the existing pattern for auto-generated files. This change ensures that ESLint will not attempt to lint this auto-generated file, which is a good practice to avoid unnecessary linting errors or warnings on code that is not meant to be manually edited.
This change aligns well with the PR objective of adding datasets and the mentioned auto-generation of TypeScript interfaces based on schemas.
test/datasets-cli/index.spec.ts (2)
1-6: LGTM: Imports are appropriate and well-structured.The import statements are correctly bringing in the necessary components from the
datasets-climodule for the test suite.
7-9: LGTM: Well-structured test suite.The test suite is properly organized using
describeblocks, and the test case description is clear and concise.src/datasets-cli/index.ts (1)
97-128: Ensure robust symbol detection indetermineStartAndEndIdxThe
determineStartAndEndIdxfunction searches for symbol appearances using exact string matches. This approach might fail if there are minor formatting differences, such as varying whitespace or line endings, which could cause the autogeneration to fail.Consider using regular expressions or normalizing the content to improve the robustness of symbol detection.
Run the following script to verify if the function correctly detects symbols regardless of formatting:
This script uses
ripgrepto search for the interface declaration across the codebase, accommodating different formatting styles.src/client.ts (1)
267-280: Method signature is correctly definedThe
getDatasetmethod's signature is well-defined with appropriate generic type parameters, ensuring type safety when retrieving datasets with specific schema versions and optional revisions.
bin/datasets-cli.js
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| } | ||
| } | ||
|
|
||
| main(); |
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🛠️ Refactor suggestion
Suggestion: Add error handling for the main function call
While the current implementation works, it's a good practice to handle potential errors that might be thrown by the async main function.
Consider wrapping the main() call in a try-catch block to handle any uncaught errors. This will prevent the script from crashing silently if an unexpected error occurs. Here's a suggested modification:
-main();
+main().catch(error => {
+ console.error('An unexpected error occurred:', error);
+ process.exit(1);
+});This change will log any uncaught errors and exit the process with a non-zero status code, which is useful for scripting and CI/CD pipelines.
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| main(); | |
| main().catch(error => { | |
| console.error('An unexpected error occurred:', error); | |
| process.exit(1); | |
| }); |
| "prompts": "./bin/prompts-cli.js", | ||
| "datasets": "./bin/datasets-cli.js" |
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💡 Codebase verification
Action Required: Address Executable Permissions and Potential Circular Dependency in datasets-cli.js.
- The
datasets-cli.jsfile is not executable. Please set the appropriate permissions using:chmod +x ./bin/datasets-cli.js
- A potential circular dependency has been detected in
datasets-cli.js. Review and refactor the code to resolve this issue.
🔗 Analysis chain
LGTM! New datasets CLI added successfully.
The addition of the "datasets" CLI script in the bin section is correct and aligns with the PR objectives. This change expands the package's functionality by providing a new command-line interface for dataset management.
To ensure the new CLI script exists and is executable, please run the following verification script:
As a follow-up:
- Ensure that the documentation is updated to include information about this new CLI command.
- Consider adding tests to cover the functionality of the new datasets CLI.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Verify the existence and executability of the new datasets CLI script
# Test 1: Check if the file exists
if [ -f "./bin/datasets-cli.js" ]; then
echo "datasets-cli.js file exists."
else
echo "Error: datasets-cli.js file not found in the ./bin directory."
exit 1
fi
# Test 2: Check if the file is executable
if [ -x "./bin/datasets-cli.js" ]; then
echo "datasets-cli.js is executable."
else
echo "Warning: datasets-cli.js is not executable. Consider running 'chmod +x ./bin/datasets-cli.js'."
fi
# Test 3: Check for potential circular dependencies
if grep -q "require.*datasets-cli" "./bin/datasets-cli.js"; then
echo "Warning: Potential circular dependency detected in datasets-cli.js"
fi
echo "Verification complete."
Length of output: 595
| const zBooleanPropertySchema = zCommonFields.extend({ | ||
| type: z.literal(PropertyTypesEnum.Boolean), | ||
| defaultValue: z.boolean().optional(), | ||
| required: z.literal(true), | ||
| }); |
There was a problem hiding this comment.
Confirm if 'required' being always true for Boolean properties is intentional
In zBooleanPropertySchema, the required field is set to z.literal(true), which forces all boolean properties to be required. If the intention is to allow optional boolean properties, consider using z.boolean().default(false) like in zCommonFields.
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confirming since it will either be true or false and always set
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@adamnolte Understood, thanks for the clarification.
(^・ω・^ )
✏️ Learnings added
Learnt from: adamnolte
PR: autoblocksai/javascript-sdk#215
File: src/datasets-cli/types.ts:28-32
Timestamp: 2024-09-26T22:18:12.195Z
Learning: In `zBooleanPropertySchema`, the `required` field is set to `z.literal(true)` because Boolean properties are always required, since they will either be `true` or `false` and always set.
Note: Learnings are effective only in the context of similar code segments. To apply general coding guidelines, please configure review instructions. You can manage existing learnings in the app.
| export interface ParsedDataset { | ||
| name: string; | ||
| schemaVersions: { | ||
| schema: DatasetSchema; | ||
| version: number; | ||
| }[]; | ||
| } |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Consider defining a separate interface for schema versions to improve clarity
In the ParsedDataset interface, the schemaVersions array contains inline objects with schema and version properties. Defining a separate interface for schema versions can enhance readability and reusability.
Apply this refactor:
export interface SchemaVersion {
schema: DatasetSchema;
version: number;
}
export interface ParsedDataset {
name: string;
schemaVersions: SchemaVersion[];
}| const resp = await fetch(`${API_ENDPOINT}/datasets/schemas`, { | ||
| method: 'GET', | ||
| headers: { | ||
| ...AUTOBLOCKS_HEADERS, | ||
| Authorization: `Bearer ${args.apiKey}`, | ||
| }, | ||
| }); | ||
| return await resp.json(); |
There was a problem hiding this comment.
Handle HTTP errors when fetching dataset schemas
In the getAllDatasetSchemasFromAPI function, the response from the API is not checked for success before attempting to parse the JSON. If the API returns a non-200 status code, this could result in unhandled exceptions or misleading error messages.
Consider checking resp.ok and handling non-success status codes appropriately.
const resp = await fetch(`${API_ENDPOINT}/datasets/schemas`, {
method: 'GET',
headers: {
...AUTOBLOCKS_HEADERS,
Authorization: `Bearer ${args.apiKey}`,
},
});
+if (!resp.ok) {
+ throw new Error(`Failed to fetch dataset schemas: ${resp.status} ${resp.statusText}`);
+}
return await resp.json();📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| const resp = await fetch(`${API_ENDPOINT}/datasets/schemas`, { | |
| method: 'GET', | |
| headers: { | |
| ...AUTOBLOCKS_HEADERS, | |
| Authorization: `Bearer ${args.apiKey}`, | |
| }, | |
| }); | |
| return await resp.json(); | |
| const resp = await fetch(`${API_ENDPOINT}/datasets/schemas`, { | |
| method: 'GET', | |
| headers: { | |
| ...AUTOBLOCKS_HEADERS, | |
| Authorization: `Bearer ${args.apiKey}`, | |
| }, | |
| }); | |
| if (!resp.ok) { | |
| throw new Error(`Failed to fetch dataset schemas: ${resp.status} ${resp.statusText}`); | |
| } | |
| return await resp.json(); |
src/datasets-cli/index.ts
Outdated
| function makeTypeForProperty(args: { property: PropertySchema }): string { | ||
| switch (args.property.type) { | ||
| case PropertyTypesEnum.String: | ||
| return 'string'; | ||
| case PropertyTypesEnum.Number: | ||
| return 'number'; | ||
| case PropertyTypesEnum.Boolean: | ||
| return 'boolean'; | ||
| case PropertyTypesEnum.Select: | ||
| return args.property.options.map((option) => `'${option}'`).join(' | '); | ||
| case PropertyTypesEnum.MultiSelect: | ||
| return `(${args.property.options.map((option) => `'${option}'`).join(' | ')})[]`; | ||
| case PropertyTypesEnum.ValidJSON: | ||
| return 'Record<string, unknown>'; | ||
| } | ||
| } |
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Add a default case in makeTypeForProperty to handle unexpected property types
In the makeTypeForProperty function, the switch statement does not include a default case. If args.property.type is not one of the handled PropertyTypesEnum values, the function will return undefined, which may lead to runtime errors or unexpected behavior.
Consider adding a default case to handle unexpected types, either by throwing an error or returning a generic type.
function makeTypeForProperty(args: { property: PropertySchema }): string {
switch (args.property.type) {
case PropertyTypesEnum.String:
return 'string';
case PropertyTypesEnum.Number:
return 'number';
case PropertyTypesEnum.Boolean:
return 'boolean';
case PropertyTypesEnum.Select:
return args.property.options.map((option) => `'${option}'`).join(' | ');
case PropertyTypesEnum.MultiSelect:
return `(${args.property.options.map((option) => `'${option}'`).join(' | ')})[]`;
case PropertyTypesEnum.ValidJSON:
return 'Record<string, unknown>';
+ default:
+ throw new Error(`Unhandled property type: ${args.property.type}`);
}
}📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| function makeTypeForProperty(args: { property: PropertySchema }): string { | |
| switch (args.property.type) { | |
| case PropertyTypesEnum.String: | |
| return 'string'; | |
| case PropertyTypesEnum.Number: | |
| return 'number'; | |
| case PropertyTypesEnum.Boolean: | |
| return 'boolean'; | |
| case PropertyTypesEnum.Select: | |
| return args.property.options.map((option) => `'${option}'`).join(' | '); | |
| case PropertyTypesEnum.MultiSelect: | |
| return `(${args.property.options.map((option) => `'${option}'`).join(' | ')})[]`; | |
| case PropertyTypesEnum.ValidJSON: | |
| return 'Record<string, unknown>'; | |
| } | |
| } | |
| function makeTypeForProperty(args: { property: PropertySchema }): string { | |
| switch (args.property.type) { | |
| case PropertyTypesEnum.String: | |
| return 'string'; | |
| case PropertyTypesEnum.Number: | |
| return 'number'; | |
| case PropertyTypesEnum.Boolean: | |
| return 'boolean'; | |
| case PropertyTypesEnum.Select: | |
| return args.property.options.map((option) => `'${option}'`).join(' | '); | |
| case PropertyTypesEnum.MultiSelect: | |
| return `(${args.property.options.map((option) => `'${option}'`).join(' | ')})[]`; | |
| case PropertyTypesEnum.ValidJSON: | |
| return 'Record<string, unknown>'; | |
| default: | |
| throw new Error(`Unhandled property type: ${args.property.type}`); | |
| } | |
| } |
| let generated = `interface ${args.symbolName} {`; // start of definition | ||
|
|
||
| args.datasets.forEach((dataset) => { | ||
| generated += `\n '${dataset.name}': {`; // start of dataset definition | ||
|
|
||
| dataset.schemaVersions.forEach((schemaVersion) => { | ||
| generated += `\n '${schemaVersion.version}': {`; // start of schema version definition | ||
| schemaVersion.schema.forEach((property) => { | ||
| generated += `\n '${property.name}'${property.required ? '' : '?'}: ${makeTypeForProperty({ property })};`; | ||
| }); | ||
| generated += '\n };'; // end of schema version definition | ||
| }); | ||
|
|
||
| generated += '\n };'; // end of dataset definition | ||
| }); | ||
|
|
||
| generated += '\n}'; // end of definition | ||
| return generated; |
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🛠️ Refactor suggestion
Refactor string concatenation in generate function for readability and efficiency
In the generate function, string concatenation is used extensively to build the generated interface definition. This approach can reduce code readability and may have performance implications with large datasets.
Consider using an array to collect the lines and then join them at the end. This enhances readability and maintains performance.
generate: (args) => {
- let generated = `interface ${args.symbolName} {`; // start of definition
+ const lines = [`interface ${args.symbolName} {`]; // start of definition
args.datasets.forEach((dataset) => {
- generated += `\n '${dataset.name}': {`; // start of dataset definition
+ lines.push(` '${dataset.name}': {`); // start of dataset definition
dataset.schemaVersions.forEach((schemaVersion) => {
- generated += `\n '${schemaVersion.version}': {`; // start of schema version definition
+ lines.push(` '${schemaVersion.version}': {`); // start of schema version definition
schemaVersion.schema.forEach((property) => {
- generated += `\n '${property.name}'${property.required ? '' : '?'}: ${makeTypeForProperty({ property })};`;
+ lines.push(` '${property.name}'${property.required ? '' : '?'}: ${makeTypeForProperty({ property })};`);
});
- generated += '\n };'; // end of schema version definition
+ lines.push(' };'); // end of schema version definition
});
- generated += '\n };'; // end of dataset definition
+ lines.push(' };'); // end of dataset definition
});
- generated += '\n}'; // end of definition
- return generated;
+ lines.push('}');
+ return lines.join('\n');
},📝 Committable suggestion
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Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| let generated = `interface ${args.symbolName} {`; // start of definition | |
| args.datasets.forEach((dataset) => { | |
| generated += `\n '${dataset.name}': {`; // start of dataset definition | |
| dataset.schemaVersions.forEach((schemaVersion) => { | |
| generated += `\n '${schemaVersion.version}': {`; // start of schema version definition | |
| schemaVersion.schema.forEach((property) => { | |
| generated += `\n '${property.name}'${property.required ? '' : '?'}: ${makeTypeForProperty({ property })};`; | |
| }); | |
| generated += '\n };'; // end of schema version definition | |
| }); | |
| generated += '\n };'; // end of dataset definition | |
| }); | |
| generated += '\n}'; // end of definition | |
| return generated; | |
| const lines = [`interface ${args.symbolName} {`]; // start of definition | |
| args.datasets.forEach((dataset) => { | |
| lines.push(` '${dataset.name}': {`); // start of dataset definition | |
| dataset.schemaVersions.forEach((schemaVersion) => { | |
| lines.push(` '${schemaVersion.version}': {`); // start of schema version definition | |
| schemaVersion.schema.forEach((property) => { | |
| lines.push(` '${property.name}'${property.required ? '' : '?'}: ${makeTypeForProperty({ property })};`); | |
| }); | |
| lines.push(' };'); // end of schema version definition | |
| }); | |
| lines.push(' };'); // end of dataset definition | |
| }); | |
| lines.push('}'); | |
| return lines.join('\n'); |
| const encodedName = encodeURIComponent(args.name); | ||
| const encodedSchemaVersion = encodeURIComponent(args.schemaVersion); | ||
| if (args.revisionId) { | ||
| return this.get( | ||
| `/datasets/${encodedName}/schema-versions/${encodedSchemaVersion}/revisions/${encodeURIComponent( | ||
| args.revisionId, | ||
| )}`, | ||
| ); | ||
| } | ||
|
|
||
| return this.get( | ||
| `/datasets/${encodedName}/schema-versions/${encodedSchemaVersion}`, | ||
| ); | ||
| } |
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🛠️ Refactor suggestion
Refactor to reduce code duplication
The if block and the subsequent return statements contain duplicated code for constructing the URL and calling this.get(). Consider refactoring to consolidate the URL construction and have a single return statement.
Apply this diff to simplify the method:
const encodedName = encodeURIComponent(args.name);
const encodedSchemaVersion = encodeURIComponent(args.schemaVersion);
+let path = `/datasets/${encodedName}/schema-versions/${encodedSchemaVersion}`;
+if (args.revisionId) {
+ const encodedRevisionId = encodeURIComponent(args.revisionId);
+ path += `/revisions/${encodedRevisionId}`;
+}
-if (args.revisionId) {
- return this.get(
- `/datasets/${encodedName}/schema-versions/${encodedSchemaVersion}/revisions/${encodeURIComponent(
- args.revisionId,
- )}`,
- );
-}
-
-return this.get(
- `/datasets/${encodedName}/schema-versions/${encodedSchemaVersion}`,
-);
+return this.get(path);This refactor reduces code duplication and improves readability.
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| const encodedName = encodeURIComponent(args.name); | |
| const encodedSchemaVersion = encodeURIComponent(args.schemaVersion); | |
| if (args.revisionId) { | |
| return this.get( | |
| `/datasets/${encodedName}/schema-versions/${encodedSchemaVersion}/revisions/${encodeURIComponent( | |
| args.revisionId, | |
| )}`, | |
| ); | |
| } | |
| return this.get( | |
| `/datasets/${encodedName}/schema-versions/${encodedSchemaVersion}`, | |
| ); | |
| } | |
| const encodedName = encodeURIComponent(args.name); | |
| const encodedSchemaVersion = encodeURIComponent(args.schemaVersion); | |
| let path = `/datasets/${encodedName}/schema-versions/${encodedSchemaVersion}`; | |
| if (args.revisionId) { | |
| const encodedRevisionId = encodeURIComponent(args.revisionId); | |
| path += `/revisions/${encodedRevisionId}`; | |
| } | |
| return this.get(path); |
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Actionable comments posted: 0
🧹 Outside diff range and nitpick comments (2)
bin/prompts-cli.js (2)
13-16: Approve changes with a minor suggestion for improvementThe addition of error handling for the
main()function is a good practice. It ensures that unexpected errors are caught, logged, and the process exits with an appropriate status code.Consider enhancing the error logging to provide more context:
main().catch((error) => { - console.error('An unexpected error occurred: ', error); + console.error('An unexpected error occurred while running the prompts CLI:', error); process.exit(1); });This change provides more specific information about where the error occurred, which can be helpful for debugging.
Line range hint
1-16: Suggest improvements for command handling and user experienceWhile the current implementation works, consider the following improvements to enhance the CLI's functionality and user experience:
- Add error handling for the 'generate' command:
async function main() { if (process.argv[2] === 'generate') { try { await run(); } catch (error) { console.error('Error during generate command:', error); process.exit(1); } } else { console.error(`Unknown command: ${process.argv.slice(2).join(' ')}`); process.exit(1); } }
- Implement a help command to display available options:
function printHelp() { console.log('Available commands:'); console.log(' generate Generate prompts'); console.log(' help Display this help message'); } async function main() { const command = process.argv[2]; switch (command) { case 'generate': try { await run(); } catch (error) { console.error('Error during generate command:', error); process.exit(1); } break; case 'help': printHelp(); break; default: console.error(`Unknown command: ${command}`); printHelp(); process.exit(1); } }These changes will make the CLI more robust and user-friendly.
📜 Review details
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Review profile: CHILL
📒 Files selected for processing (4)
- bin/datasets-cli.js (1 hunks)
- bin/prompts-cli.js (1 hunks)
- src/datasets-cli/index.ts (1 hunks)
- test/datasets-cli/index.spec.ts (1 hunks)
🚧 Files skipped from review as they are similar to previous changes (3)
- bin/datasets-cli.js
- src/datasets-cli/index.ts
- test/datasets-cli/index.spec.ts
Summary by CodeRabbit
Release Notes
New Features
Bug Fixes
Documentation
Chores