Unification and flattening¶
A PROV document is an account — a set of assertions someone makes about what happened. Real
documents accumulate structure that is convenient to build but awkward to consume: the same
entity described in two separate statements, or facts split across named bundles. prov
offers two transformations that tidy this up: flattened()
and unified(). This page explains what each one does, shows a
worked example of each, and explains how the current unified() diverges from the
W3C specification.
Both transformations are non-destructive: they return a new document (or bundle) and leave the original untouched.
Flattening¶
A ProvDocument may contain named bundles, each holding its own
records. flattened() produces a new document in which every
record from every bundle has been moved up to the top level, alongside the document’s own
records. The bundle structure is discarded — only the statements survive.
This is a purely structural move. Flattening does not merge, deduplicate, or reconcile anything;
if the same entity is described both in the document and inside a bundle, both statements simply
end up side by side at the top level. (If the document has no bundles, flattened() returns the
document itself unchanged.)
Worked example¶
Start with a document that has one top-level entity and a bundle containing two more records and a relation:
import prov.model as prov
d = prov.ProvDocument()
d.set_default_namespace("http://example.org/")
d.entity("e1")
b = d.bundle("bundle1")
b.entity("e2")
b.activity("a1")
b.wasGeneratedBy("e2", "a1")
print(d.get_provn())
document
default <http://example.org/>
entity(e1)
bundle bundle1
entity(e2)
activity(a1, -, -)
wasGeneratedBy(e2, a1, -)
endBundle
endDocument
Calling flattened() lifts the bundle’s three records up next to e1 and drops the
bundle … endBundle wrapper:
print(d.flattened().get_provn())
document
default <http://example.org/>
entity(e1)
entity(e2)
activity(a1, -, -)
wasGeneratedBy(e2, a1, -)
endDocument
Unification¶
unified() addresses a different kind of redundancy: the same
thing described by more than one statement. When a document is built incrementally, or merged
from several sources, an entity or activity may be asserted several times, each assertion
carrying a few attributes. Unification combines those into one record.
What unified() does today¶
The current implementation is deliberately simple. For each identifier that appears on more
than one record, unified() builds a single merged record: it starts from a copy of the first
record with that identifier and adds (“unions”) the attributes of every other record sharing
the identifier. Records with a unique identifier, and records with no identifier at all, pass
through untouched. Because attributes are held in a set, identical attribute values are
deduplicated, but distinct values all accumulate on the merged record.
ProvDocument.unified() applies this to the
document’s top-level records and, recursively, to each contained bundle, preserving the
bundle structure (unlike flattened()). ProvBundle.unified()
does it for a single bundle.
Three consequences of this simplicity are:
Only identifiers drive merging. Two records merge if and only if they carry the same qualified-name identifier. Most PROV relations are asserted without an identifier, so relations are almost never unified.
No type or attribute conflicts are detected. The first record’s PROV type and class are kept; attributes from the other records are unioned in regardless of whether they conflict. Asserting
entity(x)andactivity(x)with the same identifier, or two entities with contradictory values for the same functional attribute, produces a merged record rather than an error.No inference or key-based unification. The model does not use PROV’s keys (for example, the fact that an entity has at most one generation) to unify records that lack a shared identifier, and it draws no new conclusions.
Worked example¶
Assert the same entity e1 twice, each time with a different attribute:
import prov.model as prov
d = prov.ProvDocument()
d.set_default_namespace("http://example.org/")
d.add_namespace("ex", "http://example.org/ns#")
d.entity("e1", {"ex:type": "File"})
d.entity("e1", {"ex:size": 1024})
print(d.get_provn())
document
default <http://example.org/>
prefix ex <http://example.org/ns#>
entity(e1, [ex:type="File"])
entity(e1, [ex:size=1024])
endDocument
unified() collapses the two e1 statements into one, with the union of their attributes:
print(d.unified().get_provn())
document
default <http://example.org/>
prefix ex <http://example.org/ns#>
entity(e1, [ex:type="File", ex:size=1024])
endDocument
How this differs from the specification¶
The W3C PROV-CONSTRAINTS Recommendation defines normalization precisely, as the combination of several inference and constraint rules: term unification driven by uniqueness constraints (keys), the merging of records that these rules force to be equal, and the rejection of documents that violate constraints such as type disjointness or event ordering. A conforming normalization can conclude that two differently written records denote the same thing, and can declare a document invalid.
prov’s unified() does none of that inference or validation. It is a shallow,
identifier-keyed attribute union — useful for tidying up incrementally built documents, but
not a conformant implementation of PROV-CONSTRAINTS normalization. The source itself flags
this, with a TODO: Check unification rules in the PROV-CONSTRAINTS document comment above
_unified_records.
Fixing this is a 3.0 item: because a spec-conformant unified() would change behaviour
(merging or rejecting documents that today pass through unchanged), it cannot land in the 2.x
series under the API-stability promise. See the
roadmap for where this sits among
the planned releases. Until then, treat unified() as the convenience it is, and do not rely
on it to validate a document or to reconcile records that do not already share an identifier.