mirror of
https://github.com/trustgraph-ai/trustgraph.git
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73 lines
1.5 KiB
Python
73 lines
1.5 KiB
Python
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from pulsar.schema import Record, Bytes, String, Array, Long
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from . types import Triple
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from . topic import topic
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from . types import Error
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from . metadata import Metadata
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from . documents import Document, TextDocument
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# add
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# -> (id, document)
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# <- ()
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# <- (error)
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# list
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# -> (user, collection?)
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# <- (info)
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# <- (error)
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# add(Metadata, Bytes) : error?
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# copy(id, user, collection)
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# move(id, user, collection)
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# delete(id)
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# get(id) : Bytes
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# reindex(id)
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# list(user, collection) : id[]
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# info(id[]) : DocumentInfo[]
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# search(<key,op,value>[]) : id[]
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class DocumentPackage(Record):
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document = Bytes()
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kind = String()
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user = String()
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collection = String()
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title = String()
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comments = String()
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time = Long()
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metadata = Array(Triple())
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class DocumentInfo(Record):
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id = String()
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kind = String()
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user = String()
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collection = String()
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title = String()
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comments = String()
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time = Long()
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metadata = Array(Triple())
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class Criteria(Record):
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key = String()
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value = String()
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operator = String()
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class LibrarianRequest(Record):
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operation = String()
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id = String()
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document = DocumentPackage()
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user = String()
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collection = String()
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criteria = Array(Criteria())
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class LibrarianResponse(Record):
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error = Error()
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document = DocumentPackage()
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info = Array(DocumentInfo())
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librarian_request_queue = topic(
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'librarian', kind='non-persistent', namespace='request'
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)
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librarian_response_queue = topic(
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'librarian', kind='non-persistent', namespace='response',
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)
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