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Copy pathquery_encoder.py
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58 lines (46 loc) · 2.09 KB
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# This file was auto-generated by Fern from our API Definition.
from typing import Any, Dict, List, Optional, Tuple
import pydantic
# Flattens dicts to be of the form {"key[subkey][subkey2]": value} where value is not a dict
def traverse_query_dict(dict_flat: Dict[str, Any], key_prefix: Optional[str] = None) -> List[Tuple[str, Any]]:
result = []
for k, v in dict_flat.items():
key = f"{key_prefix}[{k}]" if key_prefix is not None else k
if isinstance(v, dict):
result.extend(traverse_query_dict(v, key))
elif isinstance(v, list):
for arr_v in v:
if isinstance(arr_v, dict):
result.extend(traverse_query_dict(arr_v, key))
else:
result.append((key, arr_v))
else:
result.append((key, v))
return result
def single_query_encoder(query_key: str, query_value: Any) -> List[Tuple[str, Any]]:
if isinstance(query_value, pydantic.BaseModel) or isinstance(query_value, dict):
if isinstance(query_value, pydantic.BaseModel):
obj_dict = query_value.dict(by_alias=True)
else:
obj_dict = query_value
return traverse_query_dict(obj_dict, query_key)
elif isinstance(query_value, list):
encoded_values: List[Tuple[str, Any]] = []
for value in query_value:
if isinstance(value, pydantic.BaseModel) or isinstance(value, dict):
if isinstance(value, pydantic.BaseModel):
obj_dict = value.dict(by_alias=True)
elif isinstance(value, dict):
obj_dict = value
encoded_values.extend(single_query_encoder(query_key, obj_dict))
else:
encoded_values.append((query_key, value))
return encoded_values
return [(query_key, query_value)]
def encode_query(query: Optional[Dict[str, Any]]) -> Optional[List[Tuple[str, Any]]]:
if query is None:
return None
encoded_query = []
for k, v in query.items():
encoded_query.extend(single_query_encoder(k, v))
return encoded_query