mirror of
https://github.com/trustgraph-ai/trustgraph.git
synced 2026-07-01 17:39:39 +02:00
7954e863cc
* Rework metadata structure in processing messages to be a subgraph * Add subgraph creation for tg-load-pdf and tg-load-text based on command-line passing of doc attributes * Document metadata is added to knowledge graph with subjectOf linkage to extracted entities
23 lines
433 B
Python
23 lines
433 B
Python
|
|
import uuid
|
|
import hashlib
|
|
|
|
def hash(data):
|
|
|
|
if isinstance(data, str):
|
|
data = data.encode("utf-8")
|
|
|
|
# Create a SHA256 hash from the data
|
|
id = hashlib.sha256(data).hexdigest()
|
|
|
|
# Convert into a UUID, 64-byte hash becomes 32-byte UUID
|
|
id = str(uuid.UUID(id[::2]))
|
|
|
|
return id
|
|
|
|
def to_uri(pref, id):
|
|
return f"https://trustgraph.ai/{pref}/{id}"
|
|
|
|
PREF_PUBEV = "pubev"
|
|
PREF_ORG = "org"
|
|
PREF_DOC = "doc"
|