Auto-fix lint and format issues

Author: octavia-squidington-iii

airbyte_cdk/sources/declarative/models/declarative_component_schema.py

@@ -609,9 +609,7 @@ class OAuthAuthenticator(BaseModel):
     scopes: Optional[List[str]] = Field(
         None,
         description="List of scopes that should be granted to the access token.",
-        examples=[
-            ["crm.list.read", "crm.objects.contacts.read", "crm.schema.contacts.read"]
-        ],
+        examples=[["crm.list.read", "crm.objects.contacts.read", "crm.schema.contacts.read"]],
         title="Scopes",
     )
     token_expiry_date: Optional[str] = Field(
@@ -1080,28 +1078,24 @@ class OAuthConfigSpecification(BaseModel):
     class Config:
         extra = Extra.allow
 
-    oauth_user_input_from_connector_config_specification: Optional[Dict[str, Any]] = (
-        Field(
-            None,
-            description="OAuth specific blob. This is a Json Schema used to validate Json configurations used as input to OAuth.\nMust be a valid non-nested JSON that refers to properties from ConnectorSpecification.connectionSpecification\nusing special annotation 'path_in_connector_config'.\nThese are input values the user is entering through the UI to authenticate to the connector, that might also shared\nas inputs for syncing data via the connector.\nExamples:\nif no connector values is shared during oauth flow, oauth_user_input_from_connector_config_specification=[]\nif connector values such as 'app_id' inside the top level are used to generate the API url for the oauth flow,\n  oauth_user_input_from_connector_config_specification={\n    app_id: {\n      type: string\n      path_in_connector_config: ['app_id']\n    }\n  }\nif connector values such as 'info.app_id' nested inside another object are used to generate the API url for the oauth flow,\n  oauth_user_input_from_connector_config_specification={\n    app_id: {\n      type: string\n      path_in_connector_config: ['info', 'app_id']\n    }\n  }",
-            examples=[
-                {"app_id": {"type": "string", "path_in_connector_config": ["app_id"]}},
-                {
-                    "app_id": {
-                        "type": "string",
-                        "path_in_connector_config": ["info", "app_id"],
-                    }
-                },
-            ],
-            title="OAuth user input",
-        )
+    oauth_user_input_from_connector_config_specification: Optional[Dict[str, Any]] = Field(
+        None,
+        description="OAuth specific blob. This is a Json Schema used to validate Json configurations used as input to OAuth.\nMust be a valid non-nested JSON that refers to properties from ConnectorSpecification.connectionSpecification\nusing special annotation 'path_in_connector_config'.\nThese are input values the user is entering through the UI to authenticate to the connector, that might also shared\nas inputs for syncing data via the connector.\nExamples:\nif no connector values is shared during oauth flow, oauth_user_input_from_connector_config_specification=[]\nif connector values such as 'app_id' inside the top level are used to generate the API url for the oauth flow,\n  oauth_user_input_from_connector_config_specification={\n    app_id: {\n      type: string\n      path_in_connector_config: ['app_id']\n    }\n  }\nif connector values such as 'info.app_id' nested inside another object are used to generate the API url for the oauth flow,\n  oauth_user_input_from_connector_config_specification={\n    app_id: {\n      type: string\n      path_in_connector_config: ['info', 'app_id']\n    }\n  }",
+        examples=[
+            {"app_id": {"type": "string", "path_in_connector_config": ["app_id"]}},
+            {
+                "app_id": {
+                    "type": "string",
+                    "path_in_connector_config": ["info", "app_id"],
+                }
+            },
+        ],
+        title="OAuth user input",
     )
-    oauth_connector_input_specification: Optional[OauthConnectorInputSpecification] = (
-        Field(
-            None,
-            description='The DeclarativeOAuth specific blob.\nPertains to the fields defined by the connector relating to the OAuth flow.\n\nInterpolation capabilities:\n- The variables placeholders are declared as `{{my_var}}`.\n- The nested resolution variables like `{{ {{my_nested_var}} }}` is allowed as well.\n\n- The allowed interpolation context is:\n  + base64Encoder - encode to `base64`, {{ {{my_var_a}}:{{my_var_b}} | base64Encoder }}\n  + base64Decorer - decode from `base64` encoded string, {{ {{my_string_variable_or_string_value}} | base64Decoder }}\n  + urlEncoder - encode the input string to URL-like format, {{ https://test.host.com/endpoint | urlEncoder}}\n  + urlDecorer - decode the input url-encoded string into text format, {{ urlDecoder:https%3A%2F%2Fairbyte.io | urlDecoder}}\n  + codeChallengeS256 - get the `codeChallenge` encoded value to provide additional data-provider specific authorisation values, {{ {{state_value}} | codeChallengeS256 }}\n\nExamples:\n  - The TikTok Marketing DeclarativeOAuth spec:\n  {\n    "oauth_connector_input_specification": {\n      "type": "object",\n      "additionalProperties": false,\n      "properties": {\n          "consent_url": "https://ads.tiktok.com/marketing_api/auth?{{client_id_key}}={{client_id_value}}&{{redirect_uri_key}}={{ {{redirect_uri_value}} | urlEncoder}}&{{state_key}}={{state_value}}",\n          "access_token_url": "https://business-api.tiktok.com/open_api/v1.3/oauth2/access_token/",\n          "access_token_params": {\n              "{{ auth_code_key }}": "{{ auth_code_value }}",\n              "{{ client_id_key }}": "{{ client_id_value }}",\n              "{{ client_secret_key }}": "{{ client_secret_value }}"\n          },\n          "access_token_headers": {\n              "Content-Type": "application/json",\n              "Accept": "application/json"\n          },\n          "extract_output": ["data.access_token"],\n          "client_id_key": "app_id",\n          "client_secret_key": "secret",\n          "auth_code_key": "auth_code"\n      }\n    }\n  }',
-            title="DeclarativeOAuth Connector Specification",
-        )
+    oauth_connector_input_specification: Optional[OauthConnectorInputSpecification] = Field(
+        None,
+        description='The DeclarativeOAuth specific blob.\nPertains to the fields defined by the connector relating to the OAuth flow.\n\nInterpolation capabilities:\n- The variables placeholders are declared as `{{my_var}}`.\n- The nested resolution variables like `{{ {{my_nested_var}} }}` is allowed as well.\n\n- The allowed interpolation context is:\n  + base64Encoder - encode to `base64`, {{ {{my_var_a}}:{{my_var_b}} | base64Encoder }}\n  + base64Decorer - decode from `base64` encoded string, {{ {{my_string_variable_or_string_value}} | base64Decoder }}\n  + urlEncoder - encode the input string to URL-like format, {{ https://test.host.com/endpoint | urlEncoder}}\n  + urlDecorer - decode the input url-encoded string into text format, {{ urlDecoder:https%3A%2F%2Fairbyte.io | urlDecoder}}\n  + codeChallengeS256 - get the `codeChallenge` encoded value to provide additional data-provider specific authorisation values, {{ {{state_value}} | codeChallengeS256 }}\n\nExamples:\n  - The TikTok Marketing DeclarativeOAuth spec:\n  {\n    "oauth_connector_input_specification": {\n      "type": "object",\n      "additionalProperties": false,\n      "properties": {\n          "consent_url": "https://ads.tiktok.com/marketing_api/auth?{{client_id_key}}={{client_id_value}}&{{redirect_uri_key}}={{ {{redirect_uri_value}} | urlEncoder}}&{{state_key}}={{state_value}}",\n          "access_token_url": "https://business-api.tiktok.com/open_api/v1.3/oauth2/access_token/",\n          "access_token_params": {\n              "{{ auth_code_key }}": "{{ auth_code_value }}",\n              "{{ client_id_key }}": "{{ client_id_value }}",\n              "{{ client_secret_key }}": "{{ client_secret_value }}"\n          },\n          "access_token_headers": {\n              "Content-Type": "application/json",\n              "Accept": "application/json"\n          },\n          "extract_output": ["data.access_token"],\n          "client_id_key": "app_id",\n          "client_secret_key": "secret",\n          "auth_code_key": "auth_code"\n      }\n    }\n  }',
+        title="DeclarativeOAuth Connector Specification",
     )
     complete_oauth_output_specification: Optional[Dict[str, Any]] = Field(
         None,
@@ -1119,9 +1113,7 @@ class Config:
     complete_oauth_server_input_specification: Optional[Dict[str, Any]] = Field(
         None,
         description="OAuth specific blob. This is a Json Schema used to validate Json configurations persisted as Airbyte Server configurations.\nMust be a valid non-nested JSON describing additional fields configured by the Airbyte Instance or Workspace Admins to be used by the\nserver when completing an OAuth flow (typically exchanging an auth code for refresh token).\nExamples:\n    complete_oauth_server_input_specification={\n      client_id: {\n        type: string\n      },\n      client_secret: {\n        type: string\n      }\n    }",
-        examples=[
-            {"client_id": {"type": "string"}, "client_secret": {"type": "string"}}
-        ],
+        examples=[{"client_id": {"type": "string"}, "client_secret": {"type": "string"}}],
         title="OAuth input specification",
     )
     complete_oauth_server_output_specification: Optional[Dict[str, Any]] = Field(
@@ -1774,9 +1766,7 @@ class RecordSelector(BaseModel):
         description="Responsible for filtering records to be emitted by the Source.",
         title="Record Filter",
     )
-    schema_normalization: Optional[
-        Union[SchemaNormalization, CustomSchemaNormalization]
-    ] = Field(
+    schema_normalization: Optional[Union[SchemaNormalization, CustomSchemaNormalization]] = Field(
         SchemaNormalization.None_,
         description="Responsible for normalization according to the schema.",
         title="Schema Normalization",
@@ -1997,9 +1987,7 @@ class Config:
         description="Component used to fetch data incrementally based on a time field in the data.",
         title="Incremental Sync",
     )
-    name: Optional[str] = Field(
-        "", description="The stream name.", example=["Users"], title="Name"
-    )
+    name: Optional[str] = Field("", description="The stream name.", example=["Users"], title="Name")
     primary_key: Optional[PrimaryKey] = Field(
         "", description="The primary key of the stream.", title="Primary Key"
     )
@@ -2273,11 +2261,7 @@ class SimpleRetriever(BaseModel):
             CustomPartitionRouter,
             ListPartitionRouter,
             SubstreamPartitionRouter,
-            List[
-                Union[
-                    CustomPartitionRouter, ListPartitionRouter, SubstreamPartitionRouter
-                ]
-            ],
+            List[Union[CustomPartitionRouter, ListPartitionRouter, SubstreamPartitionRouter]],
         ]
     ] = Field(
         [],
@@ -2321,9 +2305,7 @@ class AsyncRetriever(BaseModel):
     )
     download_extractor: Optional[
         Union[CustomRecordExtractor, DpathExtractor, ResponseToFileExtractor]
-    ] = Field(
-        None, description="Responsible for fetching the records from provided urls."
-    )
+    ] = Field(None, description="Responsible for fetching the records from provided urls.")
     creation_requester: Union[CustomRequester, HttpRequester] = Field(
         ...,
         description="Requester component that describes how to prepare HTTP requests to send to the source API to create the async server-side job.",
@@ -2357,11 +2339,7 @@ class AsyncRetriever(BaseModel):
             CustomPartitionRouter,
             ListPartitionRouter,
             SubstreamPartitionRouter,
-            List[
-                Union[
-                    CustomPartitionRouter, ListPartitionRouter, SubstreamPartitionRouter
-                ]
-            ],
+            List[Union[CustomPartitionRouter, ListPartitionRouter, SubstreamPartitionRouter]],
         ]
     ] = Field(
         [],
@@ -2429,12 +2407,10 @@ class DynamicDeclarativeStream(BaseModel):
     stream_template: DeclarativeStream = Field(
         ..., description="Reference to the stream template.", title="Stream Template"
     )
-    components_resolver: Union[HttpComponentsResolver, ConfigComponentsResolver] = (
-        Field(
-            ...,
-            description="Component resolve and populates stream templates with components values.",
-            title="Components Resolver",
-        )
+    components_resolver: Union[HttpComponentsResolver, ConfigComponentsResolver] = Field(
+        ...,
+        description="Component resolve and populates stream templates with components values.",
+        title="Components Resolver",
     )
 
 

airbyte_cdk/sources/declarative/parsers/model_to_component_factory.py

@@ -2648,7 +2648,11 @@ def create_simple_retriever(
         stop_condition_on_cursor: bool = False,
         client_side_incremental_sync: Optional[Dict[str, Any]] = None,
         transformations: List[RecordTransformation],
-        incremental_sync: Optional[Union[IncrementingCountCursorModel, DatetimeBasedCursorModel, CustomIncrementalSyncModel]] = None,
+        incremental_sync: Optional[
+            Union[
+                IncrementingCountCursorModel, DatetimeBasedCursorModel, CustomIncrementalSyncModel
+            ]
+        ] = None,
         **kwargs: Any,
     ) -> SimpleRetriever:
         decoder = (
@@ -2707,10 +2711,21 @@ def create_simple_retriever(
             model.ignore_stream_slicer_parameters_on_paginated_requests or False
         )
 
-        if model.lazy_read_pointer and not bool(self._connector_state_manager.get_stream_state(name, None)):
-            lazy_read_pointer = [InterpolatedString.create(path, parameters=model.parameters or {}) for path in model.lazy_read_pointer]
-            partition_router = self._create_component_from_model(model=model.partition_router, config=config)
-            stream_slicer = self._create_component_from_model(model=incremental_sync, config=config) if incremental_sync else SinglePartitionRouter(parameters={})
+        if model.lazy_read_pointer and not bool(
+            self._connector_state_manager.get_stream_state(name, None)
+        ):
+            lazy_read_pointer = [
+                InterpolatedString.create(path, parameters=model.parameters or {})
+                for path in model.lazy_read_pointer
+            ]
+            partition_router = self._create_component_from_model(
+                model=model.partition_router, config=config
+            )
+            stream_slicer = (
+                self._create_component_from_model(model=incremental_sync, config=config)
+                if incremental_sync
+                else SinglePartitionRouter(parameters={})
+            )
 
             return LazySimpleRetriever(
                 name=name,

airbyte_cdk/sources/declarative/partition_routers/substream_partition_router.py

@@ -6,7 +6,17 @@
 import copy
 import logging
 from dataclasses import InitVar, dataclass
-from typing import TYPE_CHECKING, Any, Iterable, Tuple, List, Mapping, MutableMapping, Optional, Union
+from typing import (
+    TYPE_CHECKING,
+    Any,
+    Iterable,
+    List,
+    Mapping,
+    MutableMapping,
+    Optional,
+    Tuple,
+    Union,
+)
 
 import dpath
 
@@ -133,7 +143,9 @@ def _get_request_option(
                         parent_config.request_option.inject_into_request(params, value, self.config)
         return params
 
-    def process_parent_record(self, parent_record: Union[AirbyteMessage, Record, Mapping], parent_stream_name: str) -> Tuple[Optional[Mapping], Optional[Mapping]]:
+    def process_parent_record(
+        self, parent_record: Union[AirbyteMessage, Record, Mapping], parent_stream_name: str
+    ) -> Tuple[Optional[Mapping], Optional[Mapping]]:
         """
         Processes and extracts data from a parent record, handling different record types
         and ensuring only valid types proceed.
@@ -150,7 +162,7 @@ def process_parent_record(self, parent_record: Union[AirbyteMessage, Record, Map
             )
             if parent_record.type == MessageType.RECORD:
                 return parent_record.record.data, {}
-            return None, None   # Skip invalid or non-record data
+            return None, None  # Skip invalid or non-record data
 
         # Handle Record type
         if isinstance(parent_record, Record):
@@ -200,7 +212,9 @@ def stream_slices(self) -> Iterable[StreamSlice]:
                 # not support either substreams or RFR, but something that needs to be considered once we do
                 for parent_record in parent_stream.read_only_records():
                     # Process the parent record
-                    parent_record, parent_partition = self.process_parent_record(parent_record, parent_stream.name)
+                    parent_record, parent_partition = self.process_parent_record(
+                        parent_record, parent_stream.name
+                    )
 
                     # Skip invalid or non-record data
                     if parent_record is None: