知微
fa45d8aa5f
- health_checklist.json: 192.168.1.122→node122
- ocr_client.py: docstring IP→node122
- docs/market-data-requirements.md: IP→node122
- 所有API调用通过ProxyHandler({})绕过系统代理
Privoxy对node122:18003返回500，直连正常
74 lines
2.3 KiB
Python
74 lines
2.3 KiB
Python
from __future__ import annotations
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from dataclasses import dataclass
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from typing import TYPE_CHECKING, Any
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if TYPE_CHECKING:
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from .schema_repair import SchemaRepairer
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@dataclass(frozen=True)
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class ObjectSchemaConfig:
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properties: dict[str, Any]
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pattern_properties: dict[str, Any]
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additional_properties: object | None
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required: set[str]
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@dataclass(frozen=True)
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class ArraySchemaConfig:
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items_schema: object | None
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additional_items: object | None
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def resolve_parser_object_schema(
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repairer: SchemaRepairer | None,
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schema: dict[str, Any] | bool | None,
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) -> tuple[SchemaRepairer | None, dict[str, Any] | bool | None, ObjectSchemaConfig | None]:
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if repairer is None or schema in (None, True):
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return None, schema, None
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schema = repairer.resolve_schema(schema)
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if schema is False:
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raise ValueError("Schema does not allow any values.")
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if schema is True or not repairer.is_object_schema(schema):
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return None, schema, None
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return repairer, schema, object_schema_config(schema)
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def resolve_parser_array_schema(
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repairer: SchemaRepairer | None,
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schema: dict[str, Any] | bool | None,
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) -> tuple[SchemaRepairer | None, dict[str, Any] | bool | None, ArraySchemaConfig | None]:
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if repairer is None or schema in (None, True):
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return None, schema, None
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schema = repairer.resolve_schema(schema)
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if schema is False:
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raise ValueError("Schema does not allow any values.")
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if schema is True or not repairer.is_array_schema(schema):
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return None, schema, None
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return repairer, schema, array_schema_config(schema)
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def object_schema_config(schema: dict[str, Any]) -> ObjectSchemaConfig:
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properties = schema.get("properties", {})
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if not isinstance(properties, dict):
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properties = {}
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pattern_properties = schema.get("patternProperties", {})
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if not isinstance(pattern_properties, dict):
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pattern_properties = {}
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return ObjectSchemaConfig(
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properties=properties,
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pattern_properties=pattern_properties,
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additional_properties=schema.get("additionalProperties"),
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required=set(schema.get("required", [])),
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)
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def array_schema_config(schema: dict[str, Any]) -> ArraySchemaConfig:
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return ArraySchemaConfig(
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items_schema=schema.get("items"),
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additional_items=schema.get("additionalItems"),
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)
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