* Added documentation

* Release V 1.0.0

README.md

@@ -1,3 +1,148 @@
 [![Build Status](https://travis-ci.org/harish2704/knex-json-query.svg?branch=master)](https://travis-ci.org/harish2704/knex-json-query)
 # knex-json-query
 A high-level utility which will will generate Knex query from a single JSON object.
+
+it is a simple function with just ~80 lines of code.
+
+## Usage
+
+```javascript
+var knex = require('knex');
+//var KnexJsonQuery = require('knex-json-query');
+var KnexJsonQuery = require('./');
+var jsonInput = {f1:{ $like: 'test%' }, $and: [{f2:22, f3: 33}] };
+var queryBuilderFunction = KnexJsonQuery( jsonInput );
+
+var sql = knex.where( queryBuilderFunction ).toString()
+console.log( sql );
+
+```
+
+**Output**
+```
+select * where ("f1" LIKE 'test%' and (("f2" = 22 and "f3" = 33)))
+```
+
+## Examples
+
+For more details, see the [test.js](./test.js)
+
+**Examples from Unit test file:**
+
+1. simple and conditions
+    - *input JSON*: `{"f1":10,"f2":20,"f3":30}`
+    - *output SQL*: `select * where ("f1" = 10 and "f2" = 20 and "f3" = 30)`
+
+2. simple and conditions
+    - *input JSON*: `{"firstName":[["LIKE","H%"],["OR","hemanth"]]}`
+    - *output SQL*: `select * where (("firstName" LIKE 'H%' or "firstName" = 'hemanth'))`
+
+3. regex query: MongoQuery
+    - *input JSON*: `{"firstName":{"$regex":"H*"}}`
+    - *output SQL*: `select * where ("firstName" REGEXP 'H*')`
+
+4. regex query and should omit $options: MongoQuery
+    - *input JSON*: `{"firstName":{"$regex":"H*","$options":"i"}}`
+    - *output SQL*: `select * where ("firstName" REGEXP 'H*')`
+
+5. simple and conditions
+    - *input JSON*: `{"f1":[["A"],["LIKE","B"]],"f2":20,"f3":30}`
+    - *output SQL*: `select * where (("f1" = 'A' and "f1" LIKE 'B') and "f2" = 20 and "f3" = 30)`
+
+6. basic operators :: greater-than less-than
+    - *input JSON*: `{"f1":[">",10],"f2":["<",20],"f3":30}`
+    - *output SQL*: `select * where ("f1" > 10 and "f2" < 20 and "f3" = 30)`
+
+7. basic operators :: in
+    - *input JSON*: `{"f1":["IN",[10,50]],"f2":["<",20],"f3":30}`
+    - *output SQL*: `select * where ("f1" in (10, 50) and "f2" < 20 and "f3" = 30)`
+
+8. basic operators :: notin
+    - *input JSON*: `{"f1":["NOTIN",[10,50]],"f2":["<",20],"f3":30}`
+    - *output SQL*: `select * where ("f1" not in (10, 50) and "f2" < 20 and "f3" = 30)`
+
+9. multiple conditions in one field
+    - *input JSON*: `{"f1":[["LIKE",20],21,["AND_BETWEEN",[40,45]]],"f2":20,"f3":30}`
+    - *output SQL*: `select * where (("f1" LIKE 20 and "f1" = 21 and "f1" between 40 and 45) and "f2" = 20 and "f3" = 30)`
+
+10. simple and condition with like statement
+    - *input JSON*: `{"f1":["LIKE",20],"f2":20,"f3":30}`
+    - *output SQL*: `select * where ("f1" LIKE 20 and "f2" = 20 and "f3" = 30)`
+
+11. simple and condition with between statement
+    - *input JSON*: `{"f1":["BETWEEN",[50,60]],"f2":20,"f3":30}`
+    - *output SQL*: `select * where ("f1" between 50 and 60 and "f2" = 20 and "f3" = 30)`
+
+12. simple and condition with in statement
+    - *input JSON*: `{"f1":["IN",[50,60]],"f2":20,"f3":30}`
+    - *output SQL*: `select * where ("f1" in (50, 60) and "f2" = 20 and "f3" = 30)`
+
+13. simple and condition with not in statement
+    - *input JSON*: `{"f1":["NOTIN",[50,60]],"f2":20,"f3":30}`
+    - *output SQL*: `select * where ("f1" not in (50, 60) and "f2" = 20 and "f3" = 30)`
+
+14. simple and condition with raw statement
+    - *input JSON*: `{"f1":{"$raw":"@> ANY(ARRAY(1,2,3))"},"f2":20}`
+    - *output SQL*: `select * where ("f1" @> ANY(ARRAY(1,2,3)) and "f2" = 20)`
+
+15. $and grouping
+    - *input JSON*: `{"f1":10,"f2":20,"f3":30,"$and":[{"f4":55},{"f5":66}]}`
+    - *output SQL*: `select * where ("f1" = 10 and "f2" = 20 and "f3" = 30 and (("f4" = 55) or ("f5" = 66)))`
+
+16. simple or condition
+    - *input JSON*: `[{"f1":10},{"f2":20},{"f3":30}]`
+    - *output SQL*: `select * where (("f1" = 10) or ("f2" = 20) or ("f3" = 30))`
+
+17. multiple conditions in one field
+    - *input JSON*: `{"f1":[["LIKE",20],["OR",21],["OR_BETWEEN",[40,45]]],"f2":20,"f3":30}`
+    - *output SQL*: `select * where (("f1" LIKE 20 or "f1" = 21 or "f1" between 40 and 45) and "f2" = 20 and "f3" = 30)`
+
+18. multiple conditions in one field: MongoQuery
+    - *input JSON*: `{"f1":{"$like":20,"$or":21,"$or_between":[40,45]},"f2":20,"f3":30}`
+    - *output SQL*: `select * where (("f1" LIKE 20 or "f1" = 21 or "f1" between 40 and 45) and "f2" = 20 and "f3" = 30)`
+
+19. simple or condition with like statement
+    - *input JSON*: `[{"f1":["LIKE",10]},{"f2":20},{"f3":30}]`
+    - *output SQL*: `select * where (("f1" LIKE 10) or ("f2" = 20) or ("f3" = 30))`
+
+20. simple or condition with like statement: MongoQuery
+    - *input JSON*: `[{"f1":{"$like":10}},{"f2":20},{"f3":30}]`
+    - *output SQL*: `select * where (("f1" LIKE 10) or ("f2" = 20) or ("f3" = 30))`
+
+21. simple or condition with between statement
+    - *input JSON*: `[{"f1":["BETWEEN",[50,60]]},{"f2":20},{"f3":30}]`
+    - *output SQL*: `select * where (("f1" between 50 and 60) or ("f2" = 20) or ("f3" = 30))`
+
+22. simple or condition with between statement :MongoQuery
+    - *input JSON*: `[{"f1":{"$between":[50,60]}},{"f2":20},{"f3":30}]`
+    - *output SQL*: `select * where (("f1" between 50 and 60) or ("f2" = 20) or ("f3" = 30))`
+
+23. simple or condition with in statement
+    - *input JSON*: `[{"f1":["IN",[50,60]]},{"f2":20},{"f3":30}]`
+    - *output SQL*: `select * where (("f1" in (50, 60)) or ("f2" = 20) or ("f3" = 30))`
+
+24. simple or condition with not in statement
+    - *input JSON*: `[{"f1":["NOTIN",[50,60]]},{"f2":20},{"f3":30}]`
+    - *output SQL*: `select * where (("f1" not in (50, 60)) or ("f2" = 20) or ("f3" = 30))`
+
+25. simple or condition with in statement :MongoQuery
+    - *input JSON*: `[{"f1":{"$in":[50,60]}},{"f2":20},{"f3":30}]`
+    - *output SQL*: `select * where (("f1" in (50, 60)) or ("f2" = 20) or ("f3" = 30))`
+
+26. simple or condition with nin statement :MongoQuery
+    - *input JSON*: `[{"f1":{"$nin":[50,60]}},{"f2":20},{"f3":30}]`
+    - *output SQL*: `select * where (("f1" not in (50, 60)) or ("f2" = 20) or ("f3" = 30))`
+
+27. simple or condition with raw statement
+    - *input JSON*: `[{"f1":{"$raw":"@> ANY(ARRAY(1,2,3))"}},{"f2":20}]`
+    - *output SQL*: `select * where (("f1" @> ANY(ARRAY(1,2,3))) or ("f2" = 20))`
+
+28. simple or condition with conditional array
+    - *input JSON*: `{"f1":[["ILIKE","awesome"],["OR_ILIKE","%super%"]]}`
+    - *output SQL*: `select * where (("f1" ILIKE 'awesome' or "f1" ILIKE '%super%'))`
+
+29. $or grouping
+    - *input JSON*: `{"f1":10,"f2":20,"f3":30,"$or":[{"f4":55},{"f5":66}]}`
+    - *output SQL*: `select * where ("f1" = 10 and "f2" = 20 and "f3" = 30 or (("f4" = 55) or ("f5" = 66)))`
+
+

index.js

@@ -1,5 +1,4 @@
-
+"use strict";
-
 
 var functionOperatorMap = {
   BETWEEN: 'whereBetween',

package.json

@@ -1,6 +1,6 @@
 {
   "name": "knex-json-query",
-  "version": "0.0.5",
+  "version": "1.0.0",
   "description": "A high-level utility which will will generate Knex query from a single JSON object.",
   "main": "index.js",
   "scripts": {