Fragments Updates

.github/workflows/docker-master.yaml

@@ -4,12 +4,13 @@ on:
     branches: [master]
   pull_request:
     branches: [master]
+
 jobs:
   ci:
     strategy:
       fail-fast: false
       matrix:
-        python-version: [3.9, "3.10", "3.11"]
+        python-version: [3.9, "3.10", "3.11", "3.12"]
         poetry-version: [1.4.2]
         os: [ubuntu-latest, windows-latest]
     runs-on: ${{ matrix.os }}

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "turms"
-version = "0.5.0"
+version = "0.7.0"
 description = "graphql-codegen powered by pydantic"
 authors = ["jhnnsrs <[email protected]>"]
 license = "MIT"

tests/test_multi_interface.py

@@ -83,5 +83,5 @@ def test_fragment_generation(multi_interface_schema):
 
     unit_test_with(
         generated_ast,
-        "assert FlowNodeBaseReactiveNode(id='soinosins', position={'x': 3, 'y': 3}).id, 'Needs to be not nown'",
+        "assert FlowNodesBaseReactiveNode(id='soinosins', position={'x': 3, 'y': 3}).id, 'Needs to be not nown'",
     )

turms/config.py

@@ -1,5 +1,13 @@
 import builtins
-from pydantic import AnyHttpUrl, BaseModel, Field, GetCoreSchemaHandler, field_validator, validator, ConfigDict
+from pydantic import (
+    AnyHttpUrl,
+    BaseModel,
+    Field,
+    GetCoreSchemaHandler,
+    field_validator,
+    validator,
+    ConfigDict,
+)
 from pydantic_core import core_schema
 from pydantic_settings import BaseSettings, SettingsConfigDict
 from typing import (
@@ -22,7 +30,6 @@ class ConfigProxy(BaseModel):
     type: str
 
 
-
 class ImportableFunctionMixin(Protocol):
 
     @classmethod
@@ -33,7 +40,6 @@ def __get_pydantic_core_schema__(
             cls.validate, handler(callable), field_name=handler.field_name
         )
 
-
     @classmethod
     def validate(cls, v, *info):
         if not callable(v):
@@ -57,7 +63,6 @@ def __get_pydantic_core_schema__(
             cls.validate, handler(str), field_name=handler.field_name
         )
 
-
     @classmethod
     def validate(cls, v, *info):
         if not isinstance(v, str):
@@ -147,7 +152,7 @@ class OptionsConfig(BaseSettings):
 
     enabled: bool = Field(False, description="Enabling this, will freeze the schema")
     """Enabling this, will freeze the schema"""
-    extra: ExtraOptions  = None
+    extra: ExtraOptions = None
     """Extra options for pydantic"""
     allow_mutation: Optional[bool] = None
     """Allow mutation"""
@@ -179,6 +184,7 @@ class OptionsConfig(BaseSettings):
 
 PydanticVersion = Literal["v1", "v2"]
 
+
 class GeneratorConfig(BaseSettings):
     """Configuration for the generator
 
@@ -189,11 +195,10 @@ class GeneratorConfig(BaseSettings):
     and the scalars that should be used.
 
     """
+
     model_config: SettingsConfigDict = SettingsConfigDict(
         env_prefix="TURMS_",
         extra="forbid",
-
-
     )
     pydantic_version: PydanticVersion = "v2"
 
@@ -291,7 +296,6 @@ def validate_importable(cls, v):
         return v
 
 
-
 class Extensions(BaseModel):
     """Wrapping class to be able to extract the tums configuraiton"""
 
@@ -317,6 +321,7 @@ class GraphQLProject(BaseSettings):
     Turm will use the schema and documents to generate the python models, according
     to the generator configuration under extensions.turms
     """
+
     model_config: SettingsConfigDict = SettingsConfigDict(
         env_prefix="TURMS_GRAPHQL_",
         extra="allow",
@@ -335,6 +340,7 @@ class GraphQLConfigMultiple(BaseSettings):
 
     This is the main configuration for multiple GraphQL projects. It is compliant with
     the graphql-config specification for multiple projec."""
+
     model_config: SettingsConfigDict = SettingsConfigDict(
         extra="allow",
     )
@@ -343,13 +349,13 @@ class GraphQLConfigMultiple(BaseSettings):
     """ The projects that should be parsed. The key is the name of the project and the value is the graphql project"""
 
 
-
 class GraphQLConfigSingle(GraphQLProject):
     """Configuration for a single GraphQL project
 
     This is the main configuration for a single GraphQL project. It is compliant with
     the graphql-config specification for a single project.
     """
+
     model_config: SettingsConfigDict = SettingsConfigDict(
         extra="allow",
     )

turms/helpers.py

@@ -96,9 +96,11 @@ def load_dsl_from_url(url: AnyHttpUrl, headers: Dict[str, str] = None) -> DSLStr
         default_headers.update(headers)
     try:
         req = requests.get(url, headers=default_headers)
-        x = req.text()
-    except Exception:
-        raise GenerationError(f"Failed to fetch schema from {url}")
+        assert req.status_code == 200, "Incorrect status code"
+        assert req.content, "No content"
+        x = req.content.decode()
+    except Exception as e:
+        raise GenerationError(f"Failed to fetch schema from {url}") from e
     return x
 
 

turms/parsers/base.py

@@ -9,7 +9,6 @@ class ParserConfig(BaseSettings):
     type: str
 
 
-
 class Parser(BaseModel):
     """Base class for all parsers
 

turms/parsers/polyfill.py

@@ -22,7 +22,6 @@ def validate_python_version(cls, value):
         return value
 
 
-
 def polyfill_python_seven(
     asts: List[ast.AST], config: PolyfillPluginConfig
 ) -> List[ast.AST]:

turms/plugins/base.py

@@ -13,14 +13,14 @@ class PluginConfig(BaseSettings):
     type: str
 
 
-
 class Plugin(BaseModel):
     """
     Base class for all plugins
 
     Plugins are the workhorse of turms. They are used to generate python code, according
     to the GraphQL schema. You can use plugins to generate python code for your GraphQL
     schema. THe all received the graphql schema and the config of the plugin."""
+
     model_config = ConfigDict(extra="forbid", arbitrary_types_allowed=True)
     config: PluginConfig
     log: LogFunction = Field(default=lambda *args, **kwargs: print(*args))