xia_gpt_prompts.task.Produce

class xia_gpt_prompts.task.Produce(**kwargs)

Bases: Task

__init__(**kwargs)

Methods

`__init__`(**kwargs)
`action`(action_name[, acl, payload])	Doing an action of a document
`calculate_id`()	Calculate document id from current attributes
`collection_action`(action_name[, acl, payload])	Doing a collection level action
`dict_to_id`(key_values)	Calculate document id from key_values
`dict_to_id_list`(key_values)	Calculate document id from key_values.
`extract_output`(output_text)	Extract the related data from output text
`from_db`([_engine])	Transform database data to internal data
`from_display`(**kwargs)	Transform Display data to internal data
`get_actions`()	Get action supported by this document
`get_all_fields`()	Get All fields of current class
`get_block_content`(block_name, *[, params])	Get Block content from
`get_display_data`([lazy, catalog, show_hidden])	Get Display data (visualized form of data)
`get_jinja_env`(resource_type)
`get_meta_data`()
`get_raw_data`()	Get Raw data (materialized form of data)
`get_runtime_data`()	Get Runtime data (calculated from raw data when runtime is activated)
`get_sample`()	Get a sample document data
`id_to_dict`(doc_id)	From document id to key
`to_db`(*[, catalog, ignore_unknown, engine])	Translate the runtime data into raw data (materialized form of data)
`validate`()	Validate if all of the component of document follows the predefined rules
`validate_output`(output_text)	Validating Output

Attributes

`OPERATORS`
`name`
`output_format`
`output_type`
`required_contexts`
`sub_name`
`target`
`title`

action(action_name: str, acl=None, payload: Optional[dict] = None)

Doing an action of a document

Parameters

action_name – The action name
acl – Access Control List
payload – Parameters of action

calculate_id() → Optional[str]

Calculate document id from current attributes

Returns: Document id as string if having key field defined else None

classmethod collection_action(action_name, acl=None, payload: Optional[dict] = None)

Doing a collection level action

Parameters

action_name – The action name
acl – Access Control List
payload – Parameters of action

classmethod dict_to_id(key_values: dict) → str

Calculate document id from key_values

Parameters: key_values (dict) – Key value dictionary
Returns: Document id as string

classmethod dict_to_id_list(key_values: dict) → list

Calculate document id from key_values. Accepting list as value. Output will always be list

Parameters: key_values (dict) – Key value dictionary
Returns: Document id as string

extract_output(output_text: str)

Extract the related data from output text

Parameters: output_text – Output of GPT Engine
Returns: Result if format is correct. None if format is not good

classmethod from_db(_engine: Optional[Type[BaseEngine]] = None, **kwargs)

Transform database data to internal data

Parameters

_engine – engine to be used for convert data
**kwargs (object) – python dict got from system

Returns

python dict object

classmethod from_display(**kwargs)

Transform Display data to internal data

Parameters: **kwargs (object) – display object got from front end
Returns: python dict object

classmethod get_actions()

Get action supported by this document

Returns: Base]
Return type: dictionary[str

classmethod get_all_fields() → dict: Get All fields of current class

get_block_content(block_name: str, *, params: Optional[dict] = None) → str

Get Block content from

Parameters

block_name – block part name of the task content text
params – Parameters to be passed to render the output

Returns

Rendered block content

get_display_data(lazy: bool = True, catalog: Optional[dict] = None, show_hidden: bool = False)

Get Display data (visualized form of data)

Parameters

lazy (bool) – Left the fields as is if they are not explicitly loaded
catalog (dict) – The catalog of display field in the following format: * {field1: false, field2: false, field3: {sub-field1: true, sub-field2: true}} * field1, field2 is the top-level normal field * field3 is an embedded field/reference field/external field while sub-field1, sub-field2 is its fields * True or false will override the lazy setting, none means using lazy settings
show_hidden (bool) – If hidden value should be shown or not

Returns

python dict object

Notes

We will return the detail form if it is possible

get_raw_data()

Get Raw data (materialized form of data)

Returns: python dict object

get_runtime_data()

Get Runtime data (calculated from raw data when runtime is activated)

Returns: python dict object

classmethod get_sample(): Get a sample document data

classmethod id_to_dict(doc_id: str) → dict

From document id to key

Parameters: doc_id (str) – Document ID
Returns: A dictionary who holds the key fields and the values

to_db(*, catalog: Optional[dict] = None, ignore_unknown: bool = False, engine: Optional[Type[BaseEngine]] = None)

Translate the runtime data into raw data (materialized form of data)

Parameters

catalog (dict) – Data catalog to be parsed
ignore_unknown (bool) – When a field is not defined in the document, should we send it back to the database
engine – engine to be used for db data conversion

Returns

python dict object

validate()

Validate if all of the component of document follows the predefined rules

Returns: Always None. No exception raised means the validation passed

validate_output(output_text: str)

Validating Output

Parameters: output_text (str) – mission output

Returns: True if ok else False