add advanced-query

src/python/pyproject.toml

@@ -1,35 +1,49 @@
+[project]
+name = "vectorize_client"
+version = "1.0.0"
+description = "Vectorize API (Beta)"
+license = "NoLicense"
+readme = "README.md"
+keywords = [ "OpenAPI", "OpenAPI-Generator", "Vectorize API (Beta)" ]
+requires-python = ">=3.9"
+dependencies = [
+  "urllib3 (>=2.1.0,<3.0.0)",
+  "python-dateutil (>=2.8.2)",
+  "pydantic (>=2)",
+  "typing-extensions (>=4.7.1)"
+]
+
+  [[project.authors]]
+  name = "Vectorize"
+  email = "team@openapitools.org"
+
+  [project.urls]
+  Repository = "https://github.com/GIT_USER_ID/GIT_REPO_ID"
+
 [tool.poetry]
-name = "vectorize-client"
+requires-poetry = ">=2.0"
 version = "0.2.1"
+name = "vectorize-client"
 description = "Python client for the Vectorize API"
 authors = [ "Vectorize <contact@vectorize.io>" ]
 license = "MIT"
-readme = "README.md"
 repository = "https://github.com/vectorize-io/vectorize-clients"
+homepage = "https://vectorize.io"
 keywords = [
   "vectorize",
   "vectorize.io",
   "generative-ai",
   "embeddings",
   "rag"
 ]
-include = [ "vectorize_client/py.typed" ]
-homepage = "https://vectorize.io"
-
-  [tool.poetry.dependencies]
-  python = "^3.8"
-  urllib3 = ">= 1.25.3, < 3.0.0"
-  python-dateutil = ">= 2.8.2"
-  pydantic = ">= 2"
-  typing-extensions = ">= 4.7.1"
 
-  [tool.poetry.dev-dependencies]
-  pytest = ">= 7.2.1"
-  pytest-cov = ">= 2.8.1"
-  tox = ">= 3.9.0"
-  flake8 = ">= 4.0.0"
-  types-python-dateutil = ">= 2.8.19.14"
-  mypy = ">= 1.5"
+[tool.poetry.group.dev.dependencies]
+pytest = ">= 7.2.1"
+pytest-cov = ">= 2.8.1"
+tox = ">= 3.9.0"
+flake8 = ">= 4.0.0"
+types-python-dateutil = ">= 2.8.19.14"
+mypy = ">= 1.5"
 
 [tool.pylint."MESSAGES CONTROL"]
 extension-pkg-whitelist = "pydantic"

src/python/vectorize_client/api_client.py

@@ -382,6 +382,10 @@ def sanitize_for_serialization(self, obj):
             else:
                 obj_dict = obj.__dict__
 
+        if isinstance(obj_dict, list):
+            # here we handle instances that can either be a list or something else, and only became a real list by calling to_dict()
+            return self.sanitize_for_serialization(obj_dict)
+
         return {
             key: self.sanitize_for_serialization(val)
             for key, val in obj_dict.items()

src/python/vectorize_client/configuration.py

@@ -18,7 +18,7 @@
 from logging import FileHandler
 import multiprocessing
 import sys
-from typing import Any, ClassVar, Dict, List, Literal, Optional, TypedDict
+from typing import Any, ClassVar, Dict, List, Literal, Optional, TypedDict, Union
 from typing_extensions import NotRequired, Self
 
 import urllib3
@@ -161,6 +161,8 @@ class Configuration:
     :param ssl_ca_cert: str - the path to a file of concatenated CA certificates
       in PEM format.
     :param retries: Number of retries for API requests.
+    :param ca_cert_data: verify the peer using concatenated CA certificate data
+      in PEM (str) or DER (bytes) format.
 
     :Example:
     """
@@ -175,13 +177,14 @@ def __init__(
         username: Optional[str]=None,
         password: Optional[str]=None,
         access_token: Optional[str]=None,
-        server_index: Optional[int]=None, 
+        server_index: Optional[int]=None,
         server_variables: Optional[ServerVariablesT]=None,
         server_operation_index: Optional[Dict[int, int]]=None,
         server_operation_variables: Optional[Dict[int, ServerVariablesT]]=None,
         ignore_operation_servers: bool=False,
         ssl_ca_cert: Optional[str]=None,
         retries: Optional[int] = None,
+        ca_cert_data: Optional[Union[str, bytes]] = None,
         *,
         debug: Optional[bool] = None,
     ) -> None:
@@ -259,6 +262,10 @@ def __init__(
         self.ssl_ca_cert = ssl_ca_cert
         """Set this to customize the certificate file to verify the peer.
         """
+        self.ca_cert_data = ca_cert_data
+        """Set this to verify the peer using PEM (str) or DER (bytes)
+           certificate data.
+        """
         self.cert_file = None
         """client certificate file
         """

src/python/vectorize_client/models/__init__.py

@@ -21,6 +21,7 @@
 from vectorize_client.models.add_user_from_source_connector_response import AddUserFromSourceConnectorResponse
 from vectorize_client.models.add_user_to_source_connector_request import AddUserToSourceConnectorRequest
 from vectorize_client.models.add_user_to_source_connector_request_selected_files_value import AddUserToSourceConnectorRequestSelectedFilesValue
+from vectorize_client.models.advanced_query import AdvancedQuery
 from vectorize_client.models.create_ai_platform_connector import CreateAIPlatformConnector
 from vectorize_client.models.create_ai_platform_connector_response import CreateAIPlatformConnectorResponse
 from vectorize_client.models.create_destination_connector import CreateDestinationConnector

src/python/vectorize_client/models/advanced_query.py

@@ -0,0 +1,115 @@
+# coding: utf-8
+
+"""
+    Vectorize API (Beta)
+
+    API for Vectorize services
+
+    The version of the OpenAPI document: 0.0.1
+    Generated by OpenAPI Generator (https://openapi-generator.tech)
+
+    Do not edit the class manually.
+"""  # noqa: E501
+
+
+from __future__ import annotations
+import pprint
+import re  # noqa: F401
+import json
+
+from pydantic import BaseModel, ConfigDict, Field, StrictFloat, StrictInt, StrictStr, field_validator
+from typing import Any, ClassVar, Dict, List, Optional, Union
+from typing import Optional, Set
+from typing_extensions import Self
+
+class AdvancedQuery(BaseModel):
+    """
+    AdvancedQuery
+    """ # noqa: E501
+    mode: Optional[StrictStr] = 'vector'
+    text_fields: Optional[List[StrictStr]] = Field(default=None, alias="text-fields")
+    match_type: Optional[StrictStr] = Field(default=None, alias="match-type")
+    text_boost: Optional[Union[StrictFloat, StrictInt]] = Field(default=1.0, alias="text-boost")
+    filters: Optional[Dict[str, Any]] = None
+    __properties: ClassVar[List[str]] = ["mode", "text-fields", "match-type", "text-boost", "filters"]
+
+    @field_validator('mode')
+    def mode_validate_enum(cls, value):
+        """Validates the enum"""
+        if value is None:
+            return value
+
+        if value not in set(['text', 'vector', 'hybrid']):
+            raise ValueError("must be one of enum values ('text', 'vector', 'hybrid')")
+        return value
+
+    @field_validator('match_type')
+    def match_type_validate_enum(cls, value):
+        """Validates the enum"""
+        if value is None:
+            return value
+
+        if value not in set(['match', 'match_phrase', 'multi_match']):
+            raise ValueError("must be one of enum values ('match', 'match_phrase', 'multi_match')")
+        return value
+
+    model_config = ConfigDict(
+        populate_by_name=True,
+        validate_assignment=True,
+        protected_namespaces=(),
+    )
+
+
+    def to_str(self) -> str:
+        """Returns the string representation of the model using alias"""
+        return pprint.pformat(self.model_dump(by_alias=True))
+
+    def to_json(self) -> str:
+        """Returns the JSON representation of the model using alias"""
+        # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
+        return json.dumps(self.to_dict())
+
+    @classmethod
+    def from_json(cls, json_str: str) -> Optional[Self]:
+        """Create an instance of AdvancedQuery from a JSON string"""
+        return cls.from_dict(json.loads(json_str))
+
+    def to_dict(self) -> Dict[str, Any]:
+        """Return the dictionary representation of the model using alias.
+
+        This has the following differences from calling pydantic's
+        `self.model_dump(by_alias=True)`:
+
+        * `None` is only added to the output dict for nullable fields that
+          were set at model initialization. Other fields with value `None`
+          are ignored.
+        """
+        excluded_fields: Set[str] = set([
+        ])
+
+        _dict = self.model_dump(
+            by_alias=True,
+            exclude=excluded_fields,
+            exclude_none=True,
+        )
+        return _dict
+
+    @classmethod
+    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
+        """Create an instance of AdvancedQuery from a dict"""
+        if obj is None:
+            return None
+
+        if not isinstance(obj, dict):
+            return cls.model_validate(obj)
+
+        _obj = cls.model_validate({
+            "mode": obj.get("mode") if obj.get("mode") is not None else 'vector',
+            "text-fields": obj.get("text-fields"),
+            "match-type": obj.get("match-type"),
+            "text-boost": obj.get("text-boost") if obj.get("text-boost") is not None else 1.0,
+            "filters": obj.get("filters")
+        })
+        return _obj
+
+

src/python/vectorize_client/models/retrieve_documents_request.py

@@ -20,6 +20,7 @@
 from pydantic import BaseModel, ConfigDict, Field, StrictBool, StrictStr
 from typing import Any, ClassVar, Dict, List, Optional, Union
 from typing_extensions import Annotated
+from vectorize_client.models.advanced_query import AdvancedQuery
 from vectorize_client.models.retrieve_context import RetrieveContext
 from typing import Optional, Set
 from typing_extensions import Self
@@ -33,7 +34,8 @@ class RetrieveDocumentsRequest(BaseModel):
     rerank: Optional[StrictBool] = True
     metadata_filters: Optional[List[Dict[str, Any]]] = Field(default=None, alias="metadata-filters")
     context: Optional[RetrieveContext] = None
-    __properties: ClassVar[List[str]] = ["question", "numResults", "rerank", "metadata-filters", "context"]
+    advanced_query: Optional[AdvancedQuery] = Field(default=None, alias="advanced-query")
+    __properties: ClassVar[List[str]] = ["question", "numResults", "rerank", "metadata-filters", "context", "advanced-query"]
 
     model_config = ConfigDict(
         populate_by_name=True,
@@ -77,6 +79,9 @@ def to_dict(self) -> Dict[str, Any]:
         # override the default output from pydantic by calling `to_dict()` of context
         if self.context:
             _dict['context'] = self.context.to_dict()
+        # override the default output from pydantic by calling `to_dict()` of advanced_query
+        if self.advanced_query:
+            _dict['advanced-query'] = self.advanced_query.to_dict()
         return _dict
 
     @classmethod
@@ -93,7 +98,8 @@ def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
             "numResults": obj.get("numResults"),
             "rerank": obj.get("rerank") if obj.get("rerank") is not None else True,
             "metadata-filters": obj.get("metadata-filters"),
-            "context": RetrieveContext.from_dict(obj["context"]) if obj.get("context") is not None else None
+            "context": RetrieveContext.from_dict(obj["context"]) if obj.get("context") is not None else None,
+            "advanced-query": AdvancedQuery.from_dict(obj["advanced-query"]) if obj.get("advanced-query") is not None else None
         })
         return _obj
 

src/python/vectorize_client/rest.py

@@ -76,6 +76,7 @@ def __init__(self, configuration) -> None:
             "ca_certs": configuration.ssl_ca_cert,
             "cert_file": configuration.cert_file,
             "key_file": configuration.key_file,
+            "ca_cert_data": configuration.ca_cert_data,
         }
         if configuration.assert_hostname is not None:
             pool_args['assert_hostname'] = (

src/ts/README.md

@@ -1,15 +1,15 @@
 # Vectorize Client
-Typescript Api Client for Vectorize
-For more information, please visit [https://vectorize.io](https://vectorize.io)
+Node Api Client for [Vectorize](https://vectorize.io).
+For the full documentation, please visit [docs.vectorize.io](https://docs.vectorize.io/api/api-getting-started).
 
-## Installation & Usage
+## Installation
 ```sh
 npm install @vectorize-io/vectorize-client
 ```
 
 ## Getting Started
 
-Please follow the [installation procedure](#installation--usage) and then run the following:
+List all your pipelines:
 
 ```typescript
 
@@ -23,8 +23,4 @@ const pipelines = connectorsApi.getPipelines({
 console.log(pipelines)
 ```
 
-## Documentation for API Endpoints
-
-All URIs are relative to *https://api.vectorize.io/v1*
-
-See the full [reference](https://vectorize.readme.io/reference) for more information.
+Visit [docs.vectorize.io](https://docs.vectorize.io/api/api-getting-started) to learn more about the API.

src/ts/package.json

@@ -16,7 +16,7 @@
     "preinstall": "npm install typescript"
   },
   "devDependencies": {
-    "typescript": "^5.8.3"
+    "typescript": "^4.0 || ^5.0"
   },
   "publishConfig": {
     "registry": "https://registry.npmjs.org",