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Important Review skippedMore than 25% of the files skipped due to max files limit. The review is being skipped to prevent a low-quality review. 158 files out of 216 files are above the max files limit of 50. Please upgrade to Pro plan to get higher limits. You can disable this status message by setting the WalkthroughThe updates involve significant modifications to the handling of AI-generated fields, validation schemas, and AI interaction patterns across various modules. New prompts for AI fields were introduced in the database schema, and changes were made to the rule management and action creation functions. Additionally, dependencies were updated, and some functionalities were rewritten to streamline AI response handling and enhance the overall system. Changes
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Actionable comments posted: 4
Outside diff range and nitpick comments (2)
apps/web/utils/actions/rule.ts (1)
[!TIP]
Codebase VerificationEnsure robust error handling and transaction management in
updateRuleAction.The
updateRuleActionfunction uses a transaction to manage rule updates, deletions, and creations. However, the current implementation does not show explicit error handling within the transaction or mechanisms for rolling back in case of failure. Additionally, there is no logging to trace transaction steps for debugging.
- Add error handling within the transaction to catch and manage potential failures.
- Implement transaction rollback mechanisms to ensure data integrity.
- Include logging to trace the steps of the transaction for easier debugging.
Code location:
apps/web/utils/actions/rule.tsAnalysis chain
Line range hint
90-180: Ensure robust error handling and transaction management inupdateRuleAction.The function
updateRuleActionuses a transaction to handle updates, deletions, and creations of actions. Ensure that:
- All potential errors are handled appropriately within the transaction.
- The transaction is rolled back correctly in case of any failures.
- Adequate logging is in place to trace transaction steps for debugging purposes.
Additionally, validate that the refactoring of the action update logic does not introduce any regressions or change the expected behavior.
Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Verify the transaction management logic in `updateRuleAction`. # Test: Search for error handling patterns and transaction rollback mechanisms. rg --type python --files-with-matches $'prisma.$transaction' | xargs -L1 gawk '/prisma.$transaction/,/catch/'Length of output: 141
Script:
#!/bin/bash # Description: Verify the transaction management logic in `updateRuleAction`. # Test: Search for error handling patterns and transaction rollback mechanisms. rg --type js --files-with-matches $'prisma.$transaction' | xargs -L1 gawk '/prisma.$transaction/,/catch/'Length of output: 106
Script:
#!/bin/bash # Description: Verify the transaction management logic in `updateRuleAction`. # Test: Search for the `updateRuleAction` function definition and its transaction management logic. ast-grep --lang typescript --pattern $'async function updateRuleAction($_) { $$$ const [rule] = await prisma.$transaction([ $$$ ]); $$$ }' --jsonLength of output: 161
Script:
#!/bin/bash # Description: Verify the transaction management logic in `updateRuleAction`. # Test: Search for the `updateRuleAction` function definition and its transaction management logic. rg 'async function updateRuleAction' -A 50Length of output: 3351
Script:
#!/bin/bash # Description: Verify the transaction management logic in `updateRuleAction`. # Test: Search for the complete implementation of the `updateRuleAction` function to confirm error handling and transaction rollback mechanisms. rg 'export async function updateRuleAction' -A 100Length of output: 7088
apps/web/app/(app)/automation/RuleForm.tsx (1)
Line range hint
244-301: Refine the handling of AI-generated fields in the UI.The toggle switch for enabling AI-generated fields is a critical component. Ensure that:
- The state management of the toggle is consistent and error-free.
- User inputs are validated, especially when toggling between AI-generated and static values.
- The UI provides clear feedback on the state of the AI generation toggle to prevent user confusion.
Consider adding visual indicators or animations to make the toggle action more noticeable and intuitive.
Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Files selected for processing (7)
- apps/web/app/(app)/automation/RuleForm.tsx (4 hunks)
- apps/web/app/(app)/automation/create/examples.tsx (7 hunks)
- apps/web/prisma/schema.prisma (1 hunks)
- apps/web/utils/actions/rule.ts (3 hunks)
- apps/web/utils/actions/validation.ts (1 hunks)
- apps/web/utils/ai/choose-rule/ai-choose-args.ts (2 hunks)
- apps/web/utils/ai/choose-rule/functions-from-rules.ts (2 hunks)
Additional context used
Biome
apps/web/utils/ai/choose-rule/ai-choose-args.ts
[error] 4-4: Do not shadow the global "Function" property. (lint/suspicious/noShadowRestrictedNames)
Consider renaming this variable. It's easy to confuse the origin of variables when they're named after a known global.
apps/web/utils/ai/choose-rule/functions-from-rules.ts
[error] 1-1: Do not shadow the global "Function" property. (lint/suspicious/noShadowRestrictedNames)
Consider renaming this variable. It's easy to confuse the origin of variables when they're named after a known global.
Additional comments not posted (5)
apps/web/utils/actions/validation.ts (1)
30-44: Refactored validation schema to use a commonzodFieldobject schema.The refactoring to use a common
zodFieldschema for multiple fields (label,subject,content,to,cc,bcc) promotes consistency and maintainability. This approach reduces code duplication and simplifies future modifications to the validation logic.apps/web/utils/ai/choose-rule/ai-choose-args.ts (1)
102-113: Refactored handling of AI-generated arguments based on prompts.The refactoring to check for prompt fields (
labelPrompt,subjectPrompt, etc.) before using AI-generated or predefined values enhances the flexibility and functionality of action item generation. This allows for dynamic content generation based on AI or predefined inputs, which can significantly improve user interaction with AI features.apps/web/app/(app)/automation/create/examples.tsx (1)
28-30: Updated action definitions to use nested objects for properties.The restructuring of action definitions to use nested objects (
{ value: "..." }) for properties liketo,label, andcontentenhances the flexibility and maintainability of rule definitions. This change also supports the integration of AI-generated content by allowing the inclusion of anaiflag.Also applies to: 40-43, 58-58, 72-72, 87-91, 108-108
apps/web/utils/ai/choose-rule/functions-from-rules.ts (1)
18-54: Enhanced logic for extracting AI-required properties from actions.The changes introduce a more structured approach to determining which properties need AI generation based on the presence of prompts. This structured approach not only makes the code more maintainable but also ensures that AI capabilities are utilized effectively where needed.
apps/web/prisma/schema.prisma (1)
193-207: Validate the optional prompt fields added to theActionmodel.The addition of optional prompt fields (
labelPrompt,subjectPrompt, etc.) to theActionmodel is crucial for handling AI-generated fields. Ensure that:
- The fields are appropriately indexed if necessary, considering their usage in queries.
- The schema changes are reflected in any ORM or database interaction code that might be affected.
- Adequate migration scripts are prepared to handle these schema changes in production databases.
Verification successful
Validate the optional prompt fields added to the
Actionmodel.The addition of optional prompt fields (
labelPrompt,subjectPrompt, etc.) to theActionmodel has been properly reflected in the codebase. These fields are used in various files, ensuring that the schema changes are integrated into the ORM interactions.
apps/web/utils/actions/rule.ts: Multiple instances of the new fields being used.apps/web/utils/ai/choose-rule/functions-from-rules.ts: Several occurrences of the new fields.apps/web/utils/ai/choose-rule/ai-choose-args.ts: Usage of the new fields.Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Verify the reflection of new schema changes in ORM interactions. # Test: Search for ORM interactions involving the new fields. rg --type prisma $'labelPrompt|subjectPrompt' --files-with-matches | xargs -L1 gawk '/model Action/,/}/'Length of output: 136
Script:
#!/bin/bash # Description: Verify the reflection of new schema changes in ORM interactions. # Test: Search for ORM interactions involving the new fields. rg --glob '*.prisma' 'labelPrompt|subjectPrompt|contentPrompt|toPrompt|ccPrompt|bccPrompt' --files-with-matches | xargs -L1 gawk '/model Action/,/}/'Length of output: 782
Script:
#!/bin/bash # Description: Verify ORM interactions involving the new fields. # Test: Search for occurrences of the new fields in the codebase. rg 'labelPrompt|subjectPrompt|contentPrompt|toPrompt|ccPrompt|bccPrompt'Length of output: 6078
| @@ -4,7 +4,6 @@ import { Action, ActionType, User } from "@prisma/client"; | |||
| import { Function } from "ai"; | |||
There was a problem hiding this comment.
Variable name shadowing issue.
The use of Function as a type name shadows the global JavaScript Function object, which can lead to confusion and potential bugs.
- import { Function } from "ai";
+ import { AI_Function } from "ai";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.
| import { Function } from "ai"; | |
| import { AI_Function } from "ai"; |
Tools
Biome
[error] 4-4: Do not shadow the global "Function" property. (lint/suspicious/noShadowRestrictedNames)
Consider renaming this variable. It's easy to confuse the origin of variables when they're named after a known global.
| @@ -1,8 +1,6 @@ | |||
| import { Function } from "ai"; | |||
There was a problem hiding this comment.
Variable name shadowing issue.
The use of Function as a type name shadows the global JavaScript Function object, which can lead to confusion and potential bugs.
- import { Function } from "ai";
+ import { AI_Function } from "ai";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.
| import { Function } from "ai"; | |
| import { AI_Function } from "ai"; |
Tools
Biome
[error] 1-1: Do not shadow the global "Function" property. (lint/suspicious/noShadowRestrictedNames)
Consider renaming this variable. It's easy to confuse the origin of variables when they're named after a known global.
| data: body.actions.map( | ||
| ({ type, label, subject, content, to, cc, bcc }) => { | ||
| return { | ||
| type, | ||
| ...(label?.ai | ||
| ? { label: null, labelPrompt: label?.value } | ||
| : { label: label?.value, labelPrompt: null }), | ||
| ...(subject?.ai | ||
| ? { subject: null, subjectPrompt: subject?.value } | ||
| : { subject: subject?.value, subjectPrompt: null }), | ||
| ...(content?.ai | ||
| ? { content: null, contentPrompt: content?.value } | ||
| : { content: content?.value, contentPrompt: null }), | ||
| ...(to?.ai | ||
| ? { to: null, toPrompt: to?.value } | ||
| : { to: to?.value, toPrompt: null }), | ||
| ...(cc?.ai | ||
| ? { cc: null, ccPrompt: cc?.value } | ||
| : { cc: cc?.value, ccPrompt: null }), | ||
| ...(bcc?.ai | ||
| ? { bcc: null, bccPrompt: bcc?.value } | ||
| : { bcc: bcc?.value, bccPrompt: null }), | ||
| }; | ||
| }, | ||
| ), |
There was a problem hiding this comment.
Refactor the transformation logic for AI-generated fields.
The transformation logic for handling AI-generated fields is repeated across multiple functions (createRuleAction, updateRuleAction). Consider abstracting this logic into a utility function to avoid code duplication and improve maintainability.
- // Current repeated code block
+ // Proposed utility function usage
+ data: body.actions.map(transformActionFields),Committable suggestion was skipped due to low confidence.
| if (!hasLabel && action.label?.value) { | ||
| await createLabelAction({ name: action.label.value }); |
There was a problem hiding this comment.
Ensure robust error handling when creating labels.
The logic to create labels if they do not exist needs robust error handling. Consider adding retries or fallback mechanisms if the label creation fails, and ensure that the user is adequately informed of any issues.
+ try {
+ await createLabelAction({ name: action.label.value });
+ } catch (error) {
+ toastError({ description: 'Failed to create label: ' + error.message });
+ }Committable suggestion was skipped due to low confidence.
There was a problem hiding this comment.
Actionable comments posted: 5
Outside diff range and nitpick comments (2)
apps/web/utils/ai/group/create-group.ts (1)
Line range hint
16-56: Enhance error handling in AI response processing.The
aiCreateGroupfunction handles AI interactions effectively. Consider adding error handling for AI response failures to improve robustness.+ if (!aiResponse || aiResponse.error) { + throw new Error('Failed to process AI response'); + }apps/web/utils/actions/ai-rule.ts (1)
Line range hint
243-247: Redundant else clause detected.The else clause after checking for the newsletter group's rule can be omitted as all branches in the if-else structure return early.
- } else if (result.group === "Receipts") { + } if (result.group === "Receipts") {
Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Files ignored due to path filters (1)
pnpm-lock.yamlis excluded by!**/pnpm-lock.yaml
Files selected for processing (26)
- apps/web/app/(app)/automation/RuleForm.tsx (5 hunks)
- apps/web/app/(app)/automation/rule/[ruleId]/page.tsx (1 hunks)
- apps/web/app/api/ai/categorise/controller.ts (5 hunks)
- apps/web/app/api/ai/cold-email/controller.ts (4 hunks)
- apps/web/app/api/ai/compose-autocomplete/route.ts (2 hunks)
- apps/web/app/api/ai/models/route.ts (1 hunks)
- apps/web/app/api/ai/summarise/controller.ts (1 hunks)
- apps/web/app/api/ai/summarise/route.ts (1 hunks)
- apps/web/app/api/google/webhook/group-rule.ts (2 hunks)
- apps/web/app/api/google/webhook/static-rule.ts (2 hunks)
- apps/web/app/api/user/settings/validation.ts (2 hunks)
- apps/web/package.json (2 hunks)
- apps/web/prisma/migrations/20240624075134_argument_prompt/migration.sql (1 hunks)
- apps/web/prisma/schema.prisma (1 hunks)
- apps/web/utils/actions/ai-rule.ts (5 hunks)
- apps/web/utils/actions/rule.ts (4 hunks)
- apps/web/utils/actions/validation.ts (2 hunks)
- apps/web/utils/ai/choose-rule/ai-choose-args.ts (4 hunks)
- apps/web/utils/ai/choose-rule/ai-choose-rule.ts (3 hunks)
- apps/web/utils/ai/choose-rule/choose.ts (3 hunks)
- apps/web/utils/ai/group/create-group.ts (4 hunks)
- apps/web/utils/ai/rule/create-rule.ts (3 hunks)
- apps/web/utils/llms/index.ts (2 hunks)
- apps/web/utils/redis/usage.ts (2 hunks)
- apps/web/utils/types.ts (2 hunks)
- apps/web/utils/usage.ts (7 hunks)
Files skipped from review due to trivial changes (2)
- apps/web/prisma/migrations/20240624075134_argument_prompt/migration.sql
- apps/web/utils/redis/usage.ts
Files skipped from review as they are similar to previous changes (4)
- apps/web/app/(app)/automation/RuleForm.tsx
- apps/web/prisma/schema.prisma
- apps/web/utils/actions/rule.ts
- apps/web/utils/actions/validation.ts
Additional context used
Biome
apps/web/utils/actions/ai-rule.ts
[error] 219-223: This else clause can be omitted because previous branches break early. (lint/style/noUselessElse)
Unsafe fix: Omit the else clause.
[error] 221-223: This else clause can be omitted because previous branches break early. (lint/style/noUselessElse)
[error] 243-247: This else clause can be omitted because previous branches break early. (lint/style/noUselessElse)
Unsafe fix: Omit the else clause.
[error] 245-247: This else clause can be omitted because previous branches break early. (lint/style/noUselessElse)
Additional comments not posted (24)
apps/web/app/api/user/settings/validation.ts (1)
22-24: Ensure validation logic is clear.The validation logic within
superRefineensures that a valid AI model is selected if no OpenAI API key is provided. Consider adding a comment to clarify this specific validation scenario for future maintainability.apps/web/app/api/ai/models/route.ts (1)
10-10: LGTM!Initialization of the OpenAI SDK and model filtering is correctly implemented.
apps/web/app/api/ai/summarise/route.ts (1)
34-36: Effective use of caching and streaming responses.The implementation of caching and streaming responses in the POST method is well-executed and should enhance performance and user experience.
apps/web/app/api/ai/compose-autocomplete/route.ts (3)
30-32: Clarify the purpose of the system string.The newly added system string seems to set parameters for the AI's behavior. However, it's important to ensure this aligns with the intended functionality and user expectations. If this text guides the AI's behavior, consider externalizing it to configuration files or environment variables for easier management and updates.
44-44: Approve the return statement modification.The updated return statement, using
toTextStreamResponse, aligns with the expected response handling for a streaming text response. This change appears to be correctly implemented.
34-39: Check the integration of thechatCompletionStreamfunction.Ensure that the
chatCompletionStreamfunction correctly handles the new parameters (systemandprompt). It's crucial that these parameters are supported and utilized correctly by the underlying AI service. Additionally, verify that thelabelparameter is being used as intended in the system's context.Verification successful
The
chatCompletionStreamfunction correctly handles the new parameterssystemandprompt.The implementation of the
chatCompletionStreamfunction inapps/web/utils/llms/index.tssupports the new parameterssystemandpromptand utilizes them appropriately. Thelabelparameter is also used as intended within theonFinishcallback.
- File:
apps/web/utils/llms/index.ts- Lines: 88-125
Category:
Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Verify the correct implementation of chatCompletionStream function. # Test: Search for the function definition and ensure it supports the new parameters. rg --type python $'chatCompletionStream'Length of output: 70
Script:
#!/bin/bash # Search for the definition of the `chatCompletionStream` function in the entire repository. rg 'function chatCompletionStream' --glob '!*node_modules/*'Length of output: 136
Script:
#!/bin/bash # Extract the implementation of the `chatCompletionStream` function from `apps/web/utils/llms/index.ts`. ast-grep --lang typescript --pattern $'export async function chatCompletionStream({ $$$ }) { $$$ }' apps/web/utils/llms/index.tsLength of output: 2048
apps/web/utils/ai/choose-rule/choose.ts (2)
30-30: Review the logic flow inchooseRulefunction.The changes in the
chooseRulefunction seem to integrate well with the overall logic of rule selection based on AI responses. However, ensure that the handling of undefined or unexpected responses (likeruleNumberbeing undefined) is robust and that error messages or fallbacks are clear to end-users.Also applies to: 40-40, 42-42, 44-45, 47-51, 57-57, 61-61
5-5: Confirm integration of thegetActionsWithParametersfunction.Ensure that the
getActionsWithParametersfunction is correctly integrated and used. This function should effectively identify which actions require parameters, impacting the AI's decision-making process.Verification successful
Confirm integration of the
getActionsWithParametersfunction.The
getActionsWithParametersfunction is correctly integrated and used across multiple files in the project. The function is defined inapps/web/utils/ai/choose-rule/ai-choose-args.tsand is utilized in several places, includingchoose.ts,group-rule.ts, andstatic-rule.ts.
- Definition:
apps/web/utils/ai/choose-rule/ai-choose-args.ts- Usage:
apps/web/utils/ai/choose-rule/choose.tsapps/web/app/api/google/webhook/group-rule.tsapps/web/app/api/google/webhook/static-rule.tsScripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Verify the correct implementation and usage of getActionsWithParameters. # Test: Search for the function definition and usage across the project. rg --type python $'getActionsWithParameters'Length of output: 74
Script:
#!/bin/bash # Description: Verify the correct implementation and usage of getActionsWithParameters. # Test: Search for the function definition and usage across the project. rg --type typescript 'getActionsWithParameters'Length of output: 82
Script:
#!/bin/bash # Description: Verify the correct implementation and usage of getActionsWithParameters. # Test: Search for the function definition and usage across the project. rg 'getActionsWithParameters'Length of output: 787
apps/web/app/(app)/automation/rule/[ruleId]/page.tsx (1)
57-60: Approve the new description component.The addition of a description component that informs the user about AI-generated rules is a good UX practice. It sets proper expectations for the users about the nature of the rules they are interacting with.
apps/web/utils/types.ts (1)
12-15: Confirm the updated type definition forRuleWithActions.The update to the
RuleWithActionstype definition to include actions explicitly is crucial for ensuring type safety and clarity throughout the application. Verify that this new type is used consistently wherever rules with actions are handled.Verification successful
Confirm the updated type definition for
RuleWithActions.The updated
RuleWithActionstype definition is consistently used across the project. This ensures type safety and clarity when handling rules with actions.
apps/web/utils/ai/choose-rule/run-rules.tsapps/web/utils/ai/choose-rule/ai-choose-args.tsapps/web/utils/ai/choose-rule/choose.tsapps/web/app/api/google/webhook/static-rule.tsapps/web/app/api/google/webhook/route.tsScripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Verify the consistent use of the updated RuleWithActions type across the project. # Test: Search for the usage of RuleWithActions in the project. rg --type python $'RuleWithActions'Length of output: 65
Script:
#!/bin/bash # Description: Verify the consistent use of the updated RuleWithActions type across the project. # Test: Search for the usage of RuleWithActions in the project. rg --type typescript 'RuleWithActions'Length of output: 73
Script:
#!/bin/bash # Description: Verify the consistent use of the updated RuleWithActions type across the project. # Test: Search for the usage of RuleWithActions in the project. rg --glob '*.ts' 'RuleWithActions'Length of output: 1418
apps/web/utils/usage.ts (1)
18-20: Good structuring, ensure consistent naming conventions.The restructuring of the
usageobject and its use in various functions is well done, enhancing clarity and maintainability. Ensure that the naming conventions are consistent across the entire codebase to avoid confusion.Also applies to: 30-32, 85-87, 126-127, 134-134
apps/web/utils/ai/rule/create-rule.ts (1)
81-96: Well-implemented AI interaction, consider adding documentation.The setup of system and prompt strings for AI interactions is well-implemented. Consider adding documentation or comments explaining the purpose and expected outcomes of these AI interactions to help future developers.
apps/web/utils/llms/index.ts (1)
1-6: Robust AI interaction setup, add detailed comments.The updates to AI interaction functions and the setup for fetching AI models are robust and align with best practices. Consider adding more detailed comments explaining each function's role and the expected types of interactions, which will enhance maintainability and readability.
Also applies to: 32-36, 41-125
apps/web/app/api/ai/categorise/controller.ts (5)
38-40: Clarification ofsystemconstant usage.The
systemconstant defines the role of the AI in a straightforward manner. This is good as it sets clear expectations for the AI's functionality.
40-40: Detailed and clear AI prompt.The prompt provided to the AI model is well-detailed, explaining the categories clearly and setting expectations for the AI's response. This should help in achieving accurate categorizations.
Also applies to: 52-52
86-93: Efficient handling of AI response.The handling of the AI response after calling
chatCompletionObjectis done efficiently, with checks forresponse.usageand saving this usage data. This is crucial for tracking and auditing AI usage.
120-120: Handling of insufficient information scenario.The method handles cases where the AI requires more information to make a decision by expanding the email content. This is a good practice as it ensures that decisions are made with sufficient data.
125-130: Proper handling of missing category.The function correctly handles cases where no category could be determined by the AI, by simply returning without saving any category. This prevents incorrect data entries.
apps/web/package.json (1)
15-16: Updated AI SDK dependencies.The updates to
@ai-sdk/anthropicand@ai-sdk/openaiare crucial to keep the project in sync with the latest AI capabilities and improvements. It's important to verify that these updates do not introduce breaking changes.apps/web/app/api/ai/cold-email/controller.ts (2)
49-52: Clear definition of AI's role and detailed prompt.The constants
systemandpromptare well-defined, providing clear instructions to the AI. This should aid in accurate determination of whether an email is considered a cold email.
74-81: Efficient handling of AI interactions and usage tracking.The interaction with the AI through
chatCompletionObjectand the subsequent handling of the AI usage data are done efficiently. This ensures that the AI's decisions are well-documented and traceable.apps/web/utils/ai/choose-rule/ai-choose-args.ts (2)
19-41: Efficient handling of action parameters.The function
getToolParametersForRuleeffectively handles the extraction and organization of parameters needed for AI tools. The handling of potential duplicate keys is a good preventive measure.
103-105: Comprehensive AI prompt construction.The construction of the AI prompt in
getArgsAiResponseis thorough, providing all necessary details about the user and the email. This should help in generating accurate AI responses.Also applies to: 108-111
apps/web/utils/actions/ai-rule.ts (1)
190-190: Check for user email before proceeding.The function
createAutomationActioncorrectly checks for the presence of the user's email before proceeding. This is crucial as the email is used in subsequent operations.
| const aiArgsResponse = | ||
| getActionsWithParameters(match.rule.actions).length > 0 | ||
| ? await getArgsAiResponse({ | ||
| email, | ||
| selectedRule: match.rule, | ||
| user, | ||
| }) | ||
| : undefined; |
There was a problem hiding this comment.
Ensure robust error handling in AI argument fetching.
The addition of AI argument fetching based on the presence of parameters is a good integration. However, consider adding error handling around the getArgsAiResponse call to manage potential failures gracefully.
| const aiArgsResponse = | ||
| getActionsWithParameters(staticRule.actions).length > 0 | ||
| ? await getArgsAiResponse({ | ||
| email, | ||
| selectedRule: staticRule, | ||
| user, | ||
| }) | ||
| : undefined; |
There was a problem hiding this comment.
Ensure robust error handling in AI argument fetching.
The conditional AI argument fetching is well-integrated. Similar to the group-rule.ts file, consider adding error handling around the getArgsAiResponse call to manage potential failures gracefully.
| export async function summarise(text: string, userEmail: string) { | ||
| const model = "gpt-3.5-turbo-0125" as const; | ||
| const messages = [ | ||
| { | ||
| role: "system" as const, | ||
| content: `You are an email assistant. You summarise emails. | ||
|
|
||
| const system = `You are an email assistant. You summarise emails. | ||
| Summarise each email in a short ~5 word sentence. | ||
| If you need to summarise a longer email, you can use bullet points. Each bullet should be ~5 words.`, | ||
| }, | ||
| { | ||
| role: "user" as const, | ||
| content: `Summarise this: | ||
| ${text}`, | ||
| }, | ||
| ]; | ||
| If you need to summarise a longer email, you can use bullet points. Each bullet should be ~5 words.`; | ||
|
|
||
| const response = await chatCompletionStream("openai", model, null, messages); | ||
| const prompt = `Summarise this:\n${text}`; | ||
|
|
||
| const stream = await saveAiUsageStream({ | ||
| response, | ||
| const response = await chatCompletionStream({ | ||
| provider: "openai", | ||
| model, | ||
| apiKey: null, | ||
| system, | ||
| prompt, | ||
| userEmail, | ||
| messages, | ||
| label: "Summarise", | ||
| onFinal, | ||
| onFinish: async (completion) => { | ||
| await saveSummary(prompt, completion); | ||
| await expire(prompt, 60 * 60 * 24); | ||
| }, | ||
| }); | ||
|
|
||
| return stream; | ||
| return response; |
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Refactor suggestion for clarity and maintainability.
The summarise function is well-structured. However, consider refactoring the prompt construction into a separate function to improve clarity and maintainability.
+ function constructPrompt(text: string): string {
+ return `Summarise this:\n${text}`;
+ }
- const prompt = `Summarise this:\n${text}`;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.
| export async function summarise(text: string, userEmail: string) { | |
| const model = "gpt-3.5-turbo-0125" as const; | |
| const messages = [ | |
| { | |
| role: "system" as const, | |
| content: `You are an email assistant. You summarise emails. | |
| const system = `You are an email assistant. You summarise emails. | |
| Summarise each email in a short ~5 word sentence. | |
| If you need to summarise a longer email, you can use bullet points. Each bullet should be ~5 words.`, | |
| }, | |
| { | |
| role: "user" as const, | |
| content: `Summarise this: | |
| ${text}`, | |
| }, | |
| ]; | |
| If you need to summarise a longer email, you can use bullet points. Each bullet should be ~5 words.`; | |
| const response = await chatCompletionStream("openai", model, null, messages); | |
| const prompt = `Summarise this:\n${text}`; | |
| const stream = await saveAiUsageStream({ | |
| response, | |
| const response = await chatCompletionStream({ | |
| provider: "openai", | |
| model, | |
| apiKey: null, | |
| system, | |
| prompt, | |
| userEmail, | |
| messages, | |
| label: "Summarise", | |
| onFinal, | |
| onFinish: async (completion) => { | |
| await saveSummary(prompt, completion); | |
| await expire(prompt, 60 * 60 * 24); | |
| }, | |
| }); | |
| return stream; | |
| return response; | |
| export async function summarise(text: string, userEmail: string) { | |
| const model = "gpt-3.5-turbo-0125" as const; | |
| const system = `You are an email assistant. You summarise emails. | |
| Summarise each email in a short ~5 word sentence. | |
| If you need to summarise a longer email, you can use bullet points. Each bullet should be ~5 words.`; | |
| function constructPrompt(text: string): string { | |
| return `Summarise this:\n${text}`; | |
| } | |
| const prompt = constructPrompt(text); | |
| const response = await chatCompletionStream({ | |
| provider: "openai", | |
| model, | |
| apiKey: null, | |
| system, | |
| prompt, | |
| userEmail, | |
| label: "Summarise", | |
| onFinish: async (completion) => { | |
| await saveSummary(prompt, completion); | |
| await expire(prompt, 60 * 60 * 24); | |
| }, | |
| }); | |
| return response; |
| const ruleWithActions = { | ||
| ...rule, | ||
| actions: rule.actions.map((action) => ({ | ||
| ...action, | ||
| label: action.labelPrompt | ||
| ? { value: action.labelPrompt, ai: true } | ||
| : { value: action.label, ai: false }, | ||
| subject: action.subjectPrompt | ||
| ? { value: action.subjectPrompt, ai: true } | ||
| : { value: action.subject, ai: false }, | ||
| content: action.contentPrompt | ||
| ? { value: action.contentPrompt, ai: true } | ||
| : { value: action.content, ai: false }, | ||
| to: action.toPrompt | ||
| ? { value: action.toPrompt, ai: true } | ||
| : { value: action.to, ai: false }, | ||
| cc: action.ccPrompt | ||
| ? { value: action.ccPrompt, ai: true } | ||
| : { value: action.cc, ai: false }, | ||
| bcc: action.bccPrompt | ||
| ? { value: action.bccPrompt, ai: true } | ||
| : { value: action.bcc, ai: false }, | ||
| })), | ||
| }; |
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Assess the restructuring of rule actions.
The restructuring of rule actions to include AI prompts is a significant change. It's crucial to ensure that this new structure is supported throughout the application, especially in areas where rule actions are processed or displayed. Consider adding tests to verify that both AI and non-AI fields behave as expected in different scenarios.
| import { parseJSON } from "@/utils/json"; | ||
| import { saveAiUsage } from "@/utils/usage"; | ||
| import { chatCompletion, getAiProviderAndModel } from "@/utils/llms"; | ||
| import { chatCompletionObject, getAiProviderAndModel } from "@/utils/llms"; |
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Review updates to AI response generation logic.
The changes in the getAiResponse function, including the addition of a default rule and updates to the AI prompt, are significant. It's important to ensure that these changes enhance the AI's ability to make informed decisions and that the responses are handled correctly in the application. Additionally, verify that the zod schema used for validating AI responses is appropriate and effective.
Also applies to: 17-17, 21-21, 23-29, 31-44, 46-54, 60-70, 82-82
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Actionable comments posted: 0
Outside diff range and nitpick comments (3)
apps/web/app/api/ai/categorise/controller.ts (2)
Line range hint
38-111: Refactor the AI categorization prompt for clarity and maintainability.The AI categorization prompt within
aiCategoriseis verbose and mixes logic with presentation. Consider refactoring this to separate the prompt template from the function logic, possibly using a template literal or an external template function. This will improve readability and maintainability.- const prompt = `Categorize this email. ... `; + const prompt = generatePrompt(body, expanded);
Line range hint
111-132: Handle potential undefined category and improve logging.The function
categorisedoes not handle the case wherecategory.object.categorymight be undefined before saving to the database. Also, consider enhancing the logging for the case where more information is required to categorize the email.- if (!category.object.category) return; + if (!category.object.category) { + console.error("Failed to categorize email due to undefined category."); + return; + }apps/web/components/email-list/EmailList.tsx (1)
Line range hint
220-239: Optimize AI categorization error handling and feedback.The error handling in
onAiCategorizecan be optimized. Theelseclause after the error check is unnecessary and can be removed for cleaner code.- } else { - // setCategory(res); - refetch(); - } + refetch();The categorization logic is well-structured and uses promises effectively.
Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Files selected for processing (3)
- apps/web/app/api/ai/categorise/controller.ts (5 hunks)
- apps/web/components/email-list/EmailList.tsx (5 hunks)
- apps/web/utils/actions/categorize.ts (1 hunks)
Additional context used
Biome
apps/web/components/email-list/EmailList.tsx
[error] 233-236: This else clause can be omitted because previous branches break early. (lint/style/noUselessElse)
Unsafe fix: Omit the else clause.
Additional comments not posted (1)
apps/web/utils/actions/categorize.ts (1)
17-65: Ensure error handling and data validation are robust.The function
categorizeActionperforms several operations including database access, email content parsing, and AI categorization. Ensure that:
- The error handling for each asynchronous operation is robust.
- Input validation is thorough, especially since
unsafeBodyis being parsed directly.Consider adding more specific error messages and handling potential exceptions from database calls and external API requests.
1 participant
Summary by CodeRabbit
New Features
labelPrompt,subjectPrompt, andcontentPrompt.Bug Fixes
Refactor
Dependencies
Database
Actiontable, enabling more detailed and customized AI field generation.