Mini Program AI Guide-WeChat Mini Program coding guide

Example

Helping users structure queries in the WeChat cloud environment, such as constructing aggregate functions to count document fields: `db.collection('users').aggregate().group({ _id: null, total: $.size('$orders') })`.

Scenario

A developer needs to perform a count operation on a specific field in a cloud database but is unsure of the WeChat-specific syntax. The Mini Program AI Guide provides the correct syntax and usage context, ensuring that the developer correctly implements aggregation functions in the cloud environment.

Example

Suggesting optimized query patterns using `db.command()` or batch query techniques for large datasets: `db.collection('orders').where({...}).limit(100).skip(200)`.

Scenario

When handling a large volume of data, a developer wants to paginate queries to improve performance. The AI Guide assists by recommending query patterns that follow best practices for efficiency in cloud database operations.

Example

Identifying incorrect syntax in a cloud function query: Instead of `db.collection('products').where({ price: {$gte: 100}})`, the AI Guide suggests using `db.collection('products').where({ price: _.gte(100) })`.

Scenario

A developer receives errors when trying to filter products based on price. The AI Guide pinpoints the issue with MongoDB-like syntax and explains how to adapt it to WeChat's syntax, improving their debugging process.