feat: aggs remove is_text field

README.md

@@ -67,7 +67,7 @@ with SearchSession() as session:
 
 ## exclude
 ``` python
-{'bool': {'must_not': [{'match_phrase': {'method': 'get'}}, {'match_phrase': {'path': '/login'}}], 'should': [], 'filter': []}}
+# {'bool': {'must_not': [{'match_phrase': {'method': 'get'}}, {'match_phrase': {'path': '/login'}}], 'should': [], 'filter': []}}
 with SearchSession() as session:
     result = (
         session.select(UserLog)
@@ -92,12 +92,15 @@ with SearchSession() as session:
 ```
 
 ## aggregations
-group by path and count unique remote_ip
+group by path and count unique remote_ip.
+
 ``` python
 with SearchSession() as session:
+    # aggregate text must need use a keyword field instead
+    # request_timeout argument will be passed on to the opensearch-py
     result = (
         session.select(UserLog)
-        .aggregate(Terms('path').nested(Cardinality('remote_ip')))
+        .aggregate(Terms('path.keyword').nested(Cardinality('remote_ip,keyword')), request_timeout=300)
     )
     print(result)
     # result -> {'path': 1, 'path2': 2}

opensearchorm/aggs.py

@@ -3,8 +3,8 @@ from typing import Optional
 
 
 class Aggregation(abc.ABC):
-    def __init__(self, field: str, is_text: bool = False) -> None:
+    def __init__(self, field: str) -> None:
-        self.field = f'{field}.keyword' if is_text else field
+        self.field = field
 
     @abc.abstractmethod
     def compile(self, depth: int = 1):
@@ -22,8 +22,8 @@ class BucketAggregation(Aggregation):
 
 
 class Terms(BucketAggregation):
-    def __init__(self, field: str, is_text: bool = False, max_buckets: int = 100) -> None:
+    def __init__(self, field: str, max_buckets: int = 100) -> None:
-        super().__init__(field, is_text)
+        super().__init__(field)
         self.max_buckets = max_buckets
         self.child: Optional[Aggregation] = None
 

opensearchorm/session.py

@@ -1,28 +1,37 @@
 import json
 import logging
-from typing import List, Optional, Type, TypeVar, cast
+from typing import List, Union, Optional, Type, TypeVar, cast
 
 from opensearchpy import OpenSearch
 
 from opensearchorm.model import BaseModel
 from opensearchorm.query import ModelQuery, Expr
 from opensearchorm.aggs import Aggregation, Sum, Cardinality
+from opensearchorm.utils import parse_aggregations
 
+Host = Union[str, dict]
 Model = TypeVar('Model', bound=BaseModel)
 
 
 class SearchSession:
-    def __init__(self, host: str, user: str, password: str, **kwargs) -> None:
+    def __init__(self, hosts: Union[Host, List[Host]], user: str, password: str, **kwargs) -> None:
+        """
+        :arg hosts: list of nodes, or a single node, we should connect to.
+            Node should be a dictionary ({"host": "localhost", "port": 9200}),
+            the entire dictionary will be passed to the :class:`~opensearchpy.Connection`
+            class as kwargs, or a string in the format of ``host[:port]`` which will be
+            translated to a dictionary automatically.
+
+        :arg user: http auth username
+
+        :arg password: http auth password
+
+        :arg kwargs: any additional arguments will be passed on to the opensearch-py call
+        """
         self.client = OpenSearch(
-            hosts=[
+            hosts=hosts,
-                host,
-            ],
             http_auth=(user, password),
             http_compress=True,
-            use_ssl=True,
-            verify_certs=True,
-            ssl_assert_hostname=False,
-            ssl_show_warn=False,
             **kwargs,
         )
 
@@ -76,6 +85,10 @@ class QueryExecutor:
         return self
 
     def fetch(self, **kwargs):
+        """
+        :arg kwargs: any additional arguments will be passed on to the opensearch-py call
+        """
+
         body = {
             'query': self.__query.compile(),
         }
@@ -103,8 +116,32 @@ class QueryExecutor:
     def scroll(self, **kwargs):
         ...
 
-    def unique_count(self, field: str, is_text: bool = False, **kwargs) -> int:
+    def aggregate(self, aggs: Aggregation, **kwargs):
-        resp = self.aggregate(Cardinality(field, is_text), **kwargs)
+        """
+        :arg kwargs: any additional arguments will be passed on to the opensearch-py call
+        """
+
+        body = {
+            'query': self.__query.compile(),
+            'aggs': aggs.compile(depth=1),
+        }
+        logging.debug('query:\n%s', json.dumps(body))
+
+        model = self.__model_cls
+        assert model and model.__index__, 'model has no index'
+
+        resp = self.__session.search(
+            body=body,
+            index=model.__index__,
+            size=0,
+            **kwargs,
+        )
+
+        data = resp['aggregations']
+        return parse_aggregations(data, depth=1)
+
+    def unique_count(self, field: str, **kwargs) -> int:
+        resp = self.aggregate(Cardinality(field), **kwargs)
         return cast(int, resp)
 
     def sum(self, field: str, **kwargs) -> float:
@@ -126,42 +163,3 @@ class QueryExecutor:
             **kwargs,
         )
         return resp['count']
-
-    def aggregate(self, aggs: Aggregation, **kwargs):
-        body = {
-            'query': self.__query.compile(),
-            'aggs': aggs.compile(depth=1),
-        }
-        logging.debug('query:\n%s', json.dumps(body))
-
-        model = self.__model_cls
-        assert model and model.__index__, 'model has no index'
-
-        resp = self.__session.search(
-            body=body,
-            index=model.__index__,
-            size=0,
-            **kwargs,
-        )
-
-        data = resp['aggregations']
-        return parse_aggregations(data, depth=1)
-
-
-def parse_aggregations(data: dict, depth: int = 1):
-    level = data.get(str(depth), None)
-    if level is None:
-        return
-
-    if 'buckets' in level:
-        result = {}
-        buckets = level['buckets']
-        for b in buckets:
-            key = b['key']
-            count = b['doc_count']
-            children = parse_aggregations(b, depth + 1)
-            result[key] = children if children else count
-        return result
-    else:
-        value = level['value']
-        return value

opensearchorm/utils.py

@@ -0,0 +1,17 @@
+def parse_aggregations(data: dict, depth: int = 1):
+    level = data.get(str(depth), None)
+    if level is None:
+        return
+
+    if 'buckets' in level:
+        result = {}
+        buckets = level['buckets']
+        for b in buckets:
+            key = b['key']
+            count = b['doc_count']
+            children = parse_aggregations(b, depth + 1)
+            result[key] = children if children else count
+        return result
+    else:
+        value = level['value']
+        return value

poetry.lock

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