उप-दस्तावेज़ों के नेस्टेड सरणी सहित क्वेरी बिल्डर शर्तों को MongoDB संचालन में बदलें

अधिक शोध के बाद मेरे पास एक कामकाजी समाधान है। अंतर्दृष्टि प्रदान करने वाले सभी सहायक उत्तरदाताओं को धन्यवाद।

फ़ंक्शन एंगुलर क्वेरी बिल्डर मॉड्यूल से एक क्वेरी लेता है और इसे एक MongoDB क्वेरी में परिवर्तित करता है।

कोणीय क्वेरी बिल्डर

  {
    "condition": "and",
    "rules": [{
      "field": "RecordType",
      "operator": "=",
      "value": "Item"
    }, {
      "condition": "or",
      "rules": [{
        "field": "Items.Title",
        "operator": "contains",
        "value": "book"
      }, {
        "field": "Project",
        "operator": "in",
        "value": ["5d0699380a2958e44503acfb", "5d0699380a2958e44503ad2a", "5d0699380a2958e44503ad18"]
      }]
    }]
  }

MongoDB क्वेरी परिणाम

  {
    "$and": [{
      "RecordType": {
        "$eq": "Item"
      }
    }, {
      "$or": [{
        "Items.Title": {
          "$regex": "book",
          "$options": "i"
        }
      }, {
        "Project": {
          "$in": ["5d0699380a2958e44503acfb", "5d0699380a2958e44503ad2a", "5d0699380a2958e44503ad18"]
        }
      }]
    }]
  }

कोड

/**
 * Convert a query object generated by UI to MongoDB query
 * @param query a query builder object generated by Angular2QueryBuilder module
 * @param model the model for the schema to query
 * return a MongoDB query
 * 
 */

apiCtrl.convertQuery = async (query, model) => {

  if (!query || !model) {
    return {};
  }

  const conditions = { "and": "$and", "or": "$or" };
  const operators = {
    "=": "$eq",
    "!=": "$ne",
    "<": "$lt",
    "<=": "$lte",
    ">": "$gt",
    ">=": "gte",
    "in": "$in",
    "not in": "$nin",
    "contains": "$regex"
  };

  // Get Mongoose schema type instance of a field
  const getSchemaType = (field) => {
    return model.schema.paths[field] ? model.schema.paths[field].instance : false;
  }

  // Map each rule to a MongoDB query
  const mapRule = (rule) => {

    let field = rule.field;
    let value = rule.value;

    if (!value) {
      value = null;
    }

    // Get schema type of current field
    const schemaType = getSchemaType(rule.field);

    // Check if schema type of current field is ObjectId
    if (schemaType === 'ObjectID' && value) {
      // Convert string value to MongoDB ObjectId
      if (Array.isArray(value)) {
        value.map(val => new ObjectId(val));
      } else {
        value = new ObjectId(value);
      }
    // Check if schema type of current field is Date
    } else if (schemaType === 'Date' && value) {
      // Convert string value to ISO date
      console.log(value);
      value = new Date(value);
    }

    console.log(schemaType);
    console.log(value);

    // Set operator
    const operator = operators[rule.operator] ? operators[rule.operator] : '$eq';

    // Create a MongoDB query
    let mongoDBQuery;

    // Check if operator is $regex
    if (operator === '$regex') {
      // Set case insensitive option
      mongoDBQuery = {
        [field]: {
          [operator]: value,
          '$options': 'i'
        }
      };
    } else {
      mongoDBQuery = { [field]: { [operator]: value } };
    }

    return mongoDBQuery;

  }

  const mapRuleSet = (ruleSet) => {

    if (ruleSet.rules.length < 1) {
      return;
    }

    // Iterate Rule Set conditions recursively to build database query
    return {
      [conditions[ruleSet.condition]]: ruleSet.rules.map(
        rule => rule.operator ? mapRule(rule) : mapRuleSet(rule)
      )
    }
  };

  let mongoDbQuery = mapRuleSet(query);

  return mongoDbQuery;

}