Change table to dimension on code

README.md

@@ -1,4 +1,4 @@
-# SlicingDice Official Python Client (v2.0.0)
+# SlicingDice Official Python Client (v2.0.1)
 ### Build Status: [![CircleCI](https://circleci.com/gh/SlicingDice/slicingdice-python.svg?style=svg)](https://circleci.com/gh/SlicingDice/slicingdice-python)
 
 Official Python client for [SlicingDice](http://www.slicingdice.com/), Data Warehouse and Analytics Database as a Service.  
@@ -43,7 +43,7 @@ insert_data = {
     "user1@slicingdice.com": {
         "age": 22
     },
-    "auto-create": ["table", "column"]
+    "auto-create": ["dimension", "column"]
 }
 client.insert(insert_data)
 
@@ -74,17 +74,16 @@ print(client.count_entity(query_data))
 
 ### Constructor
 
-`__init__(self, write_key=None, read_key=None, master_key=None, custom_key=None, use_ssl=True, timeout=60, uses_test_endpoint=False)`
+`__init__(self, write_key=None, read_key=None, master_key=None, custom_key=None, use_ssl=True, timeout=60)`
 * `write_key (str)` - [API key](https://docs.slicingdice.com/docs/api-keys) to authenticate requests with the SlicingDice API Write Key.
 * `read_key (str)` - [API key](https://docs.slicingdice.com/docs/api-keys) to authenticate requests with the SlicingDice API Read Key.
 * `master_key (str)` - [API key](https://docs.slicingdice.com/docs/api-keys) to authenticate requests with the SlicingDice API Master Key.
 * `custom_key (str)` - [API key](https://docs.slicingdice.com/docs/api-keys) to authenticate requests with the SlicingDice API Custom Key.
 * `use_ssl (bool)` - Define if the requests verify SSL for HTTPS requests.
 * `timeout (int)` - Amount of time, in seconds, to wait for results for each request.
-* `uses_test_endpoint (bool)` - If false the client will send requests to production end-point, otherwise to tests end-point.
 
 ### `get_database()`
-Get information about current database(related to api keys informed on construction). This method corresponds to a `GET` request at `/database`.
+Get information about current database(related to api keys informed on construction). This method corresponds to a [`GET` request at `/database`](https://docs.slicingdice.com/docs/how-to-list-edit-or-delete-databases).
 
 #### Request example
 
@@ -100,7 +99,7 @@ print(client.get_database())
 {
     "name": "Database 1",
     "description": "My first database",
-    "tables": [
+    "dimensions": [
     	"default",
         "users"
     ],
@@ -109,7 +108,7 @@ print(client.get_database())
 }
 ```
 
-### `get_columns(test=False)`
+### `get_columns()`
 Get all created columns, both active and inactive ones. This method corresponds to a [GET request at /column](https://docs.slicingdice.com/docs/how-to-list-edit-or-delete-columns).
 
 #### Request example
@@ -148,7 +147,7 @@ print(client.get_columns())
 }
 ```
 
-### `create_column(json_data, test=False)`
+### `create_column(json_data)`
 Create a new column. This method corresponds to a [POST request at /column](https://docs.slicingdice.com/docs/how-to-create-columns#section-creating-columns-using-column-endpoint).
 
 #### Request example
@@ -216,7 +215,7 @@ insert_data = {
             "date": "2016-08-17T13:23:47+00:00"
         }
     },
-    "auto-create": ["table", "column"]
+    "auto-create": ["dimension", "column"]
 }
 print(client.insert(insert_data))
 ```
@@ -232,8 +231,8 @@ print(client.insert(insert_data))
 }
 ```
 
-### `exists_entity(ids, table=None)`
-Verify which entities exist in a table (uses `default` table if not provided) given a list of entity IDs. This method corresponds to a [POST request at /query/exists/entity](https://docs.slicingdice.com/docs/exists).
+### `exists_entity(ids, dimension=None)`
+Verify which entities exist in a dimension (uses `default` dimension if not provided) given a list of entity IDs. This method corresponds to a [POST request at /query/exists/entity](https://docs.slicingdice.com/docs/exists).
 
 #### Request example
 
@@ -288,18 +287,18 @@ print(client.count_entity_total())
 }
 ```
 
-### `count_entity_total(tables)`
-Count the total number of inserted entities in the given tables. This method corresponds to a [POST request at /query/count/entity/total](https://docs.slicingdice.com/docs/total#section-counting-specific-tables).
+### `count_entity_total(dimensions)`
+Count the total number of inserted entities in the given dimensions. This method corresponds to a [POST request at /query/count/entity/total](https://docs.slicingdice.com/docs/total#section-counting-specific-tables).
 
 #### Request example
 
 ```python
 from pyslicer import SlicingDice
 client = SlicingDice('MASTER_OR_READ_API_KEY')
 
-tables = ['default']
+dimensions = ['default']
 
-print(client.count_entity_total(tables))
+print(client.count_entity_total(dimensions))
 ```
 
 #### Output example

pyslicer/client.py

@@ -202,16 +202,16 @@ def count_entity(self, query):
         url = SlicingDice.BASE_URL + URLResources.QUERY_COUNT_ENTITY
         return self._count_query_wrapper(url, query)
 
-    def count_entity_total(self, tables=None):
+    def count_entity_total(self, dimensions=None):
         """Make a count entity total query
 
         Keyword arguments:
-        tables -- A dictionary containing the tables in which
+        dimensions -- A dictionary containing the dimensions in which
                   the total query will be performed
         """
         query = {}
-        if tables is not None:
-            query['tables'] = tables
+        if dimensions is not None:
+            query['dimensions'] = dimensions
         url = SlicingDice.BASE_URL + URLResources.QUERY_COUNT_ENTITY_TOTAL
         return self._make_request(
             url=url,
@@ -263,12 +263,12 @@ def top_values(self, query):
                 req_type="post",
                 key_level=0)
 
-    def exists_entity(self, ids, table=None):
+    def exists_entity(self, ids, dimension=None):
         """Make a exists entity query
 
         Keyword arguments:
         ids -- A list with entities to check if exists
-        table -- In which table entities check be checked
+        dimension -- In which dimension entities check be checked
         """
         url = SlicingDice.BASE_URL + URLResources.QUERY_EXISTS_ENTITY
         if len(ids) > 100:
@@ -277,8 +277,8 @@ def exists_entity(self, ids, table=None):
         query = {
             'ids': ids
         }
-        if table:
-            query['table'] = table
+        if dimension:
+            query['dimension'] = dimension
         return self._make_request(
             url=url,
             json_data=ujson.dumps(query),

pyslicer/utils/validators.py

@@ -229,7 +229,7 @@ def _has_empty_column(self):
             # Value is a dictionary when it is an entity being inserted:
             # "my-entity": {"year": 2016}
             # It can also be a parameter, such as "auto-create":
-            # "auto-create": ["table", "column"]
+            # "auto-create": ["dimension", "column"]
             if not isinstance(
                     value, (dict, list)) or value is None or len(
                         str(value)) == 0:

tests_and_examples/examples/count_entity.json

@@ -23283,7 +23283,7 @@
     "name": "Test for a \"COUNT ENTITY\" query using automatically created columns, operator \"AND\" and parameter \"EQUALS\".",
     "columns": [],
     "insert": {
-      "auto-create": ["table", "column"],
+      "auto-create": ["dimension", "column"],
       "24": {
         "string-test-column": "value:matched_value",
         "numeric-test-column": 1000001
@@ -23713,7 +23713,7 @@
     "name": "Test for a \"COUNT ENTITY\" query using automatically created columns, operators \"AND\" and \"OR\" and parameter \"EQUALS\".",
     "columns": [],
     "insert": {
-      "auto-create": ["table", "column"],
+      "auto-create": ["dimension", "column"],
       "24": {
         "string-test-column": "value:matched_value",
         "boolean-test-column": "true",
@@ -24251,7 +24251,7 @@
     "name": "Test for a \"COUNT ENTITY\" query using automatically created columns, operators \"AND\" and \"OR\" and parameters \"EQUALS\", \"BETWEEN\" and \"MINFREQ\".",
     "columns": [],
     "insert": {
-      "auto-create": ["table", "column"],
+      "auto-create": ["dimension", "column"],
       "24": {
         "string-test-column": "value:matched_value",
         "boolean-test-column": "true",

tests_and_examples/examples/sql_insert.json

@@ -6,7 +6,7 @@
       "city": "New York",
       "country": "USA",
       "age": 19,
-      "table": "users",
+      "dimension": "users",
       "name": "joao",
       "browser": "firefox",
       "os": "Linux",
@@ -41,7 +41,7 @@
       "city": "Natal",
       "country": "Brazil",
       "age": 21,
-      "table": "users",
+      "dimension": "users",
       "name": "eduardo",
       "browser": "chrome",
       "os": "Windows",
@@ -76,7 +76,7 @@
       "city": "Salvador",
       "country": "Brazil",
       "age": 17,
-      "table": "users",
+      "dimension": "users",
       "name": "gabriela",
       "browser": "safari",
       "os": "mac",
@@ -106,7 +106,7 @@
       ]
     },
     "auto-create": [
-      "table",
+      "dimension",
       "column"
     ]
   },
@@ -116,10 +116,10 @@
       "salary": 2350.50,
       "age": 19,
       "admission": "2017-07-17",
-      "table": "jobs"
+      "dimension": "jobs"
     },
     "auto-create": [
-      "table",
+      "dimension",
       "column"
     ]
   },
@@ -140,10 +140,10 @@
         "value": 15,
         "date": "2017-08-18T00:00:00Z"
       },
-      "table": "inserttest"
+      "dimension": "inserttest"
     },
     "auto-create": [
-      "table",
+      "dimension",
       "column"
     ]
   }