fermioniq.client.ClientConfig#
- class fermioniq.client.ClientConfig(*, polling_interval: float = 1.0, access_token_id: str | None = None, access_token_secret: str | None = None, verbosity_level: int = 0)#
Class for configuring the
fermioniq.client.Client()
class.Examples
>>> config = ClientConfig(polling_interval=2.0) # Poll every 2 seconds >>> client = Client(config=config)
- Attributes:
- access_token_id
API Key. Can be overwritten with environment variable FERMIONIQ_ACCESS_TOKEN_ID.
- access_token_secret
API Secret. Can be overwritten with environment variable FERMIONIQ_ACCESS_TOKEN_SECRET.
- polling_interval
The interval in seconds between polling requests. Defaults to 1 second.
- verbosity_level
Level of Client verbosity. The higher the number, the more emulator output will be sent to the client. This has an impact on runtime performance and costs.
Methods
copy
(*[, include, exclude, update, deep])Returns a copy of the model.
model_construct
([_fields_set])Creates a new instance of the Model class with validated data.
model_copy
(*[, update, deep])Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy
model_dump
(*[, mode, include, exclude, ...])Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump
model_dump_json
(*[, indent, include, ...])Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json
model_json_schema
([by_alias, ref_template, ...])Generates a JSON schema for a model class.
model_parametrized_name
(params)Compute the class name for parametrizations of generic classes.
model_post_init
(_BaseModel__context)Override this method to perform additional initialization after __init__ and model_construct.
model_rebuild
(*[, force, raise_errors, ...])Try to rebuild the pydantic-core schema for the model.
model_validate
(obj, *[, strict, ...])Validate a pydantic model instance.
model_validate_json
(json_data, *[, strict, ...])Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing
model_validate_strings
(obj, *[, strict, context])Validate the given object with string data against the Pydantic model.
construct
dict
from_orm
json
parse_file
parse_obj
parse_raw
schema
schema_json
update_forward_refs
validate