Remove support for python 3.9

.github/workflows/main.yaml

@@ -25,7 +25,7 @@ env:
   WEAVIATE_131: 1.31.19
   WEAVIATE_132: 1.32.16
   WEAVIATE_133: 1.33.4
-  WEAVIATE_134: 1.34.0
+  WEAVIATE_134: 1.34.1
 
 jobs:
   lint-and-format:
@@ -59,7 +59,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        version: ["3.9", "3.10", "3.11", "3.12", "3.13"]
+        version: ["3.10", "3.11", "3.12", "3.13", "3.14"]
         folder: ["weaviate", "integration", "integration_embedded"]
     steps:
       - uses: actions/checkout@v4
@@ -79,7 +79,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        version: ["3.9", "3.10", "3.11", "3.12", "3.13"]
+        version: ["3.10", "3.11", "3.12", "3.13", "3.14"]
         folder: ["test", "mock_tests"]
     steps:
       - uses: actions/checkout@v4
@@ -122,7 +122,7 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        version: ["3.9", "3.10", "3.11", "3.12", "3.13"]
+        version: ["3.10", "3.11", "3.12", "3.13", "3.14"]
         optional_dependencies: [false]
     steps:
       - uses: actions/checkout@v4
@@ -153,11 +153,11 @@ jobs:
       fail-fast: false
       matrix:
         versions: [
-          { py: "3.9", weaviate: $WEAVIATE_132, grpc: "1.59.0"},
-          { py: "3.10", weaviate: $WEAVIATE_132, grpc: "1.66.0"},
-          { py: "3.11", weaviate: $WEAVIATE_132, grpc: "1.70.0"},
-          { py: "3.12", weaviate: $WEAVIATE_132, grpc: "1.72.1"},
-          { py: "3.13", weaviate: $WEAVIATE_132, grpc: "1.74.0"}
+          { py: "3.10", weaviate: $WEAVIATE_132, grpc: "1.59.0"},
+          { py: "3.11", weaviate: $WEAVIATE_132, grpc: "1.66.0"},
+          { py: "3.12", weaviate: $WEAVIATE_132, grpc: "1.70.0"},
+          { py: "3.13", weaviate: $WEAVIATE_132, grpc: "1.72.1"},
+          { py: "3.14", weaviate: $WEAVIATE_132, grpc: "1.76.0"}
         ]
         optional_dependencies: [false]
     steps:
@@ -208,11 +208,11 @@ jobs:
       fail-fast: false
       matrix:
         versions: [
-          { py: "3.9", weaviate: $WEAVIATE_132},
           { py: "3.10", weaviate: $WEAVIATE_132},
           { py: "3.11", weaviate: $WEAVIATE_132},
           { py: "3.12", weaviate: $WEAVIATE_132},
-          { py: "3.13", weaviate: $WEAVIATE_132}
+          { py: "3.13", weaviate: $WEAVIATE_132},
+          { py: "3.14", weaviate: $WEAVIATE_132}
         ]
         optional_dependencies: [false]
     steps:

.pre-commit-config.yaml

@@ -9,7 +9,7 @@ repos:
 
 - repo: https://github.com/astral-sh/ruff-pre-commit
   # Ruff version.
-  rev: v0.11.7
+  rev: v0.14.7
   hooks:
     # Run the linter.
     - id: ruff
@@ -19,24 +19,24 @@ repos:
       args: [ weaviate, integration, test, mock_tests, journey_tests ]
 
 - repo: https://github.com/PyCQA/flake8
-  rev: 7.1.0
+  rev: 7.3.0
   hooks:
     - id: flake8
       name: linting
       additional_dependencies: [
-        'flake8-bugbear==22.10.27',
-        'flake8-comprehensions==3.10.1',
-        'flake8-builtins==2.0.1'
+        'flake8-bugbear==24.12.12',
+        'flake8-comprehensions==3.17.0',
+        'flake8-builtins==3.0.0'
       ]
     - id: flake8
       name: docstrings
       additional_dependencies: [
         'flake8-docstrings==1.7.0',
-        'pydoclint==0.6.5',
+        'pydoclint==0.7.3',
       ]
 
 - repo: https://github.com/pre-commit/pre-commit-hooks
-  rev: v4.6.0
+  rev: v6.0.0
   hooks:
     - id: no-commit-to-branch
     - id: trailing-whitespace

requirements-devel.txt

@@ -1,10 +1,10 @@
 httpx==0.26.0
 validators==0.34.0
 authlib==1.6.5
-grpcio==1.66.2
-grpcio-tools==1.66.2
-grpcio-health-checking==1.66.2
-pydantic==2.8.0
+grpcio==1.75.1
+grpcio-tools==1.75.1
+grpcio-health-checking==1.75.1
+pydantic==2.12.0
 deprecation==2.1.0
 
 build

setup.cfg

@@ -37,11 +37,11 @@ install_requires =
     httpx>=0.26.0,<0.29.0
     validators>=0.34.0,<1.0.0
     authlib>=1.2.1,<2.0.0
-    pydantic>=2.8.0,<3.0.0
+    pydantic>=2.12.0,<3.0.0
     grpcio>=1.59.5,<1.80.0
     protobuf>=4.21.6,<7.0.0
     deprecation>=2.1.0,<3.0.0
-python_requires = >=3.9
+python_requires = >=3.10
 
 [options.extras_require]
 agents =

weaviate/collections/classes/generative.py

@@ -4,7 +4,7 @@
 from pathlib import Path
 from typing import List, Optional, Union
 
-from pydantic import AnyHttpUrl, AnyUrl, BaseModel, Field
+from pydantic import AnyHttpUrl, BaseModel, Field, TypeAdapter
 
 from weaviate.collections.classes.config import (
     AWSService,
@@ -503,7 +503,7 @@ def anthropic(
             top_p: The top P to use. Defaults to `None`, which uses the server-defined default
         """
         return _GenerativeAnthropic(
-            base_url=AnyUrl(base_url) if base_url is not None else None,
+            base_url=TypeAdapter(AnyHttpUrl).validate_python(base_url),
             model=model,
             max_tokens=max_tokens,
             stop_sequences=stop_sequences,
@@ -527,7 +527,9 @@ def anyscale(
             temperature: The temperature to use. Defaults to `None`, which uses the server-defined default
         """
         return _GenerativeAnyscale(
-            base_url=AnyUrl(base_url) if base_url is not None else None,
+            base_url=TypeAdapter(AnyHttpUrl).validate_python(base_url)
+            if base_url is not None
+            else None,
             model=model,
             temperature=temperature,
         )
@@ -564,7 +566,9 @@ def aws(
             max_tokens=max_tokens,
             region=region,
             service=service,
-            endpoint=AnyUrl(endpoint) if endpoint is not None else None,
+            endpoint=TypeAdapter(AnyHttpUrl).validate_python(endpoint)
+            if endpoint is not None
+            else None,
             target_model=target_model,
             target_variant=target_variant,
             temperature=temperature,
@@ -598,7 +602,9 @@ def cohere(
             temperature: The temperature to use. Defaults to `None`, which uses the server-defined default
         """
         return _GenerativeCohere(
-            base_url=AnyUrl(base_url) if base_url is not None else None,
+            base_url=TypeAdapter(AnyHttpUrl).validate_python(base_url)
+            if base_url is not None
+            else None,
             k=k,
             max_tokens=max_tokens,
             model=model,
@@ -671,7 +677,7 @@ def databricks(
             top_p: The top P value to use. Defaults to `None`, which uses the server-defined default
         """
         return _GenerativeDatabricks(
-            endpoint=AnyUrl(endpoint),
+            endpoint=TypeAdapter(AnyHttpUrl).validate_python(endpoint),
             frequency_penalty=frequency_penalty,
             log_probs=log_probs,
             max_tokens=max_tokens,
@@ -710,7 +716,9 @@ def friendliai(
             top_p: The top P value to use. Defaults to `None`, which uses the server-defined default
         """
         return _GenerativeFriendliai(
-            base_url=AnyUrl(base_url) if base_url is not None else None,
+            base_url=TypeAdapter(AnyHttpUrl).validate_python(base_url)
+            if base_url is not None
+            else None,
             max_tokens=max_tokens,
             model=model,
             n=n,
@@ -754,7 +762,9 @@ def google(
             top_p: The top P to use. Defaults to `None`, which uses the server-defined default
         """
         return _GenerativeGoogle(
-            api_endpoint=AnyUrl(api_endpoint) if api_endpoint is not None else None,
+            api_endpoint=TypeAdapter(AnyHttpUrl).validate_python(api_endpoint)
+            if api_endpoint is not None
+            else None,
             endpoint_id=endpoint_id,
             frequency_penalty=frequency_penalty,
             max_tokens=max_tokens,
@@ -787,7 +797,9 @@ def mistral(
             top_p: The top P value to use. Defaults to `None`, which uses the server-defined default
         """
         return _GenerativeMistral(
-            base_url=AnyUrl(base_url) if base_url is not None else None,
+            base_url=TypeAdapter(AnyHttpUrl).validate_python(base_url)
+            if base_url is not None
+            else None,
             max_tokens=max_tokens,
             model=model,
             temperature=temperature,
@@ -813,7 +825,9 @@ def nvidia(
             top_p: The top P value to use. Defaults to `None`, which uses the server-defined default
         """
         return _GenerativeNvidia(
-            base_url=AnyUrl(base_url) if base_url is not None else None,
+            base_url=TypeAdapter(AnyHttpUrl).validate_python(base_url)
+            if base_url is not None
+            else None,
             max_tokens=max_tokens,
             model=model,
             temperature=temperature,
@@ -840,7 +854,9 @@ def ollama(
                 The number of images passed to the prompt will match the value of `limit` in the search query.
         """
         return _GenerativeOllama(
-            api_endpoint=AnyUrl(api_endpoint) if api_endpoint is not None else None,
+            api_endpoint=TypeAdapter(AnyHttpUrl).validate_python(api_endpoint)
+            if api_endpoint is not None
+            else None,
             model=model,
             temperature=temperature,
         )
@@ -884,7 +900,9 @@ def openai(
         """
         return _GenerativeOpenAI(
             api_version=api_version,
-            base_url=AnyUrl(base_url) if base_url is not None else None,
+            base_url=TypeAdapter(AnyHttpUrl).validate_python(base_url)
+            if base_url is not None
+            else None,
             deployment_id=deployment_id,
             frequency_penalty=frequency_penalty,
             max_tokens=max_tokens,
@@ -934,7 +952,9 @@ def azure_openai(
         """
         return _GenerativeOpenAI(
             api_version=api_version,
-            base_url=AnyUrl(base_url) if base_url is not None else None,
+            base_url=TypeAdapter(AnyHttpUrl).validate_python(base_url)
+            if base_url is not None
+            else None,
             deployment_id=deployment_id,
             frequency_penalty=frequency_penalty,
             max_tokens=max_tokens,
@@ -971,7 +991,9 @@ def xai(
             top_p: The top P to use. Defaults to `None`, which uses the server-defined default
         """
         return _GenerativeXAI(
-            base_url=AnyUrl(base_url) if base_url is not None else None,
+            base_url=TypeAdapter(AnyHttpUrl).validate_python(base_url)
+            if base_url is not None
+            else None,
             max_tokens=max_tokens,
             model=model,
             temperature=temperature,

weaviate/util.py

@@ -731,8 +731,9 @@ def _datetime_from_weaviate_str(string: str) -> datetime.datetime:
         return datetime.datetime.strptime(string, date_format)
     except ValueError as e:
         # note that the year 9999 is valid and does not need to be handled. for 5 digit years only the first
-        # 4 digits are considered and it wrapps around
-        if "year 0 is out of range" in str(e):
+        # 4 digits are considered and it wrapps around. The datetime library changed the error message in python 3.14
+        # to include "year must be in ...", so we check for both messages here.
+        if "year 0 is out of range" in str(e) or "year must be in" in str(e):
             _Warnings.datetime_year_zero(string)
             return datetime.datetime.min
         raise e