xia_engine.base.BaseEngine
- class xia_engine.base.BaseEngine
Bases:
object
Engine Definition
- \* encoders map ('Field.class'
‘callable’): Which field type should use which encoder function
- \* decoder map ('Field.class'
‘callable’): Which field type should use which decoder function
- __init__()
Methods
__init__
()get_decoder
(field[, inner_field])Get Decoder for a field
get_encoder
(field[, inner_field])Get Encoder for a field
parse_search_option
(key)Reference to search method for the specifications
parse_update_option
(key)Reference to update method for the specifications
Attributes
MATCH_OPERATIONS
search options
order options
update options
Analytic Compiler
Supporting async in asynchronous mode
Supporting read in asynchronous mode
Coder to be used to backup / restore
Storer to be used to backup / restore
Engine specific value decoder
Engine specific value encoder
Connector function
Connector Class use an object to handler parameters
if the value is False, each data model will have its own connector by default
default connection parameter
Dependency check will be performed at engine level
Engine parameter name
Scope check will be performed at engine level (pass document level check)
Unique check will be performed at engine level (pass document level check)
key_required
Possible to separate the search operation into scan and fetch
Store embedded document as separate tables
support_unknown
- OPERATORS = {'__eq__': '==', '__ge__': '>=', '__gt__': '>', '__le__': '<=', '__like__': 'LIKE', '__lt__': '<', '__ne__': '!='}
search options
- ORDER_TYPES = {'__asc__': 'asc', '__desc__': 'desc'}
order options
- UPDATE_TYPES = {'__append__': 'append', '__delete__': 'delete', '__inc__': 'increase', '__mul__': 'multiply', '__remove__': 'remove'}
update options
- analyzer = None
Analytic Compiler
- async_create: bool = False
Supporting async in asynchronous mode
- async_read: bool = False
Supporting read in asynchronous mode
- backup_coder = None
Coder to be used to backup / restore
- backup_storer = None
Storer to be used to backup / restore
- decoders = {}
Engine specific value decoder
- encoders = {}
Engine specific value encoder
- engine_connector: callable = None
Connector function
- engine_connector_class = None
Connector Class use an object to handler parameters
if the value is False, each data model will have its own connector by default
- engine_default_connector_param: dict = {}
default connection parameter
- engine_foreign_key_check: bool = False
Dependency check will be performed at engine level
- engine_param: str = None
Engine parameter name
- engine_scope_check: bool = False
Scope check will be performed at engine level (pass document level check)
- engine_unique_check: bool = False
Unique check will be performed at engine level (pass document level check)
- classmethod get_decoder(field: type, inner_field: Optional[type] = None) callable
Get Decoder for a field
- Parameters
field (type) – class type of field class
inner_field (type) – class type of inner field (Such qs ListField)
- Returns
Decoder function
- classmethod get_encoder(field: type, inner_field: Optional[type] = None) callable
Get Encoder for a field
- Parameters
field (type) – class type of field class
inner_field (type) – class type of inner field (Such qs ListField)
- Returns
Encoder function
- classmethod parse_search_option(key: str)
Reference to search method for the specifications
- Parameters
key (str) –
- Returns
key, operator, order
- classmethod parse_update_option(key: str)
Reference to update method for the specifications
- Parameters
key (str) –
- Returns
key, update
- scan_and_fetch: bool = False
Possible to separate the search operation into scan and fetch
- store_embedded_as_table: bool = False
Store embedded document as separate tables