@bugslifesolutions/api-plugin-products NPM

api-plugin-products

Summary

Products plugin for the Reaction API

Example on how to use Filter Conditions

We have a query endpoint defined in this plugin which allows us to query products collection based on the input GraphQL conditions object. This query endpoint is defined as filterProducts.js and it calls the generateFilterQuery function from the api-utils plugin to generate the MongoDB filter query.

The generateFilterQuery function expects the input GraphQL conditions object to be in the format of the FilterConditionsInput input type defined in the GraphQL Schemas (in api-core plugin) along with other parameters like context, collectionName and shopId.

Please go through a general introduction of how to use this function which can be found in the api-utils README before going through the examples below on how to use this function in the context of the products plugin.

In the query endpoint, we pass the FilterConditionsInput input type object as the conditions argument. This object is passed to the generateFilterQuery function along with other parameters like context, collectionName and shopId to generate the MongoDB filter query. The generateFilterQuery function is generic and can be used to generate filter queries for any collection. Since the parametes like context, collectionName and shopId are pretty self-explanatory, we shall focus on explaining the various ways in which the conditions object can be used.

Single condition. Here we are querying products collection for entries with the handle as 'mens-waterproof-outdoor-rain-jacket'. Since it is single condition, using either all or any will not make difference.

import generateFilterQuery from "@reactioncommerce/api-utils/generateFilterQuery.js";

const conditions = {
      all: [
        {
          any:[
            {
              key: "handle",
              stringValue: "mens-waterproof-outdoor-rain-jacket",
              relationalOperator: eq,
              logicalNot: false
            }
          ]
        }
      ]
    }

  const { filterQuery } = generateFilterQuery(context, "Product", conditions, shopId);

  return Products.find(filterQuery);

Two conditions.

Here we are querying products collection for entries which have either the handle as 'mens-waterproof-outdoor-rain-jacket' or 'title' begins with the text 'men'. Since we are using the any to connect the conditions, it translates to a mongo DB $or condition. Please note that the top level all condition is only to maintain the structure of the input GraphQL conditions object. It does not impact the results of the inner query.

import generateFilterQuery from "@reactioncommerce/api-utils/generateFilterQuery.js";

const conditions = {
      all: [
        {
          any:[
            {
              key: "handle",
              stringValue: "mens-waterproof-outdoor-rain-jacket",
              relationalOperator: eq,
              logicalNot: false
            }, 
            {
              key: "title",
              stringValue: "men",
              relationalOperator: beginsWith,
              logicalNot: false
              caseSensitive: false
            }
          ]
        }
      ]
    }

  const { filterQuery } = generateFilterQuery(context, "Product", conditions, shopId);

  return Products.find(filterQuery);

Multiple conditions.

Here we are querying products collection for entries which confirms to multiple conditions. We have 3 distinct group of conditions in the inner level and the results of all these 3 are joined at the top level with all meaning $and in MongoDB.

The first group looks for entries matching either of the conditions handle as 'mens-waterproof-outdoor-rain-jacket' or title begins with the text 'men'. Since we are using the any to connect the conditions, it translates to a mongo DB $or condition.

The second group looks for entries matching the _id in the array ["DZwLHk4EAzitRni8F", "Hn4BRaBvLkYffMq36"] and isDeleted as false and workflow.status as new. Since we are using the all to connect the conditions, it translates to a mongo DB $and condition.

The third group looks for entries matching the price.min greater than 19.99 and type as simple. Since we are using the all to connect the conditions, it translates to a mongo DB $and condition.

As explained above, the final results are joined at the top level with all meaning $and in MongoDB.

import generateFilterQuery from "@reactioncommerce/api-utils/generateFilterQuery.js";

const conditions = {
      all: [
        {
          any:[
            {
              key: "handle",
              stringValue: "mens-waterproof-outdoor-rain-jacket",
              relationalOperator: eq,
              logicalNot: false
            }, 
            {
              key: "title",
              stringValue: "men",
              relationalOperator: beginsWith,
              logicalNot: false
              caseSensitive: false
            }
          ]
        },
        {
          all:[
            {
              key: "_id",
              stringArrayValue: ["DZwLHk4EAzitRni8F", "Hn4BRaBvLkYffMq36"],
              relationalOperator: in,
              logicalNot: false
            },
            {
              key: "isDeleted",
              booleanValue: false,
              relationalOperator: eq,
              logicalNot: false
            },
            {
              key: "workflow.status",
              stringValue: "new",
              relationalOperator: eq,
              logicalNot: false
            }
          ]
        },
        {
          all:[
            {
              key: "price.min",
              floatValue: 19.99,
              relationalOperator: gte,
              logicalNot: false
            },
            {
              key: "type",
              stringValue: "simple",
              relationalOperator: eq,
              logicalNot: false
            }
          ]
        }
      ]
    }

  const { filterQuery } = generateFilterQuery(context, "Product", conditions, shopId);

  return Products.find(filterQuery);

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