haiku.rag/tests/capabilities/test_evidence_capsule.py
Yiorgis Gozadinos fdb5710491
Ask and analyze across several databases
Chunk 2 gave search a configured set to fan out over. ask and analyze
covered one database still: the RAG capability had no way to be told which
databases a question spanned, and the analysis sandbox mounted one
document tree.

The selection travels as sources on EvidenceState, beside the filter it
scopes with, so both capabilities read it the same way. clients_covering
is the one rule that turns a selection into clients, used by search, the
sandbox mount and the cite fallback, so a question scoped to some
databases cannot search, mount or cite another. Citations carry the
database they came from, and format_for_agent names it, so the model can
attribute evidence while it answers rather than only afterwards.

The sandbox keeps one flat /documents/{id}/ namespace and resolves each id
to the client holding it, which rests on ids being UUID4. A database
copied from another breaks that, so an id held twice is refused rather
than resolved to whichever arrived last.

On the CLI, search, ask and analyze cover the configured set and label
each result with its database. Every other command works on one, named
with --database NAME (a name reaches a database behind a URI, which --db
cannot) or --db PATH, and refuses a set it cannot choose from instead of
silently reading the default database. Cold databases open together, so a
first query costs the slowest open rather than their sum.
2026-08-24 10:03:46 +03:00

403 lines
13 KiB
Python

from dataclasses import dataclass, field, replace
from typing import Any
from unittest.mock import patch
import pytest
from pydantic_ai import Agent
from pydantic_ai.exceptions import UserError
from pydantic_ai.messages import ModelResponse, TextPart
from pydantic_ai.models.function import FunctionModel
from haiku.rag.capabilities.analysis import create_capability as create_analysis
from haiku.rag.capabilities.compaction import (
CAPSULE_HEADER,
EvidenceCompactionCapability,
build_capsule,
group_label,
)
from haiku.rag.capabilities.compaction import create_capability as create_compaction
from haiku.rag.capabilities.evidence import DiscoveredEvidence, discover_evidence
from haiku.rag.capabilities.ledger import (
CapabilityEvidenceRecord,
EvidenceOccurrence,
)
from haiku.rag.capabilities.rag import create_capability as create_rag
from haiku.rag.config.models import AppConfig
from haiku.rag.store.models.citation import Citation
@dataclass
class Deps:
state: dict[str, Any] = field(default_factory=dict)
def citation(chunk_id: str, content: str = "evidence body", pictures=()) -> Citation:
return Citation(
document_id=f"doc-of-{chunk_id}",
chunk_id=chunk_id,
document_uri=f"test://{chunk_id}",
document_title=f"Title {chunk_id}",
content=content,
picture_refs=list(pictures),
)
def replace_citation(cited: Citation, **changes: Any) -> Citation:
return cited.model_copy(update=changes)
def discovered(
capability: str = "rag",
*,
cited: dict[str, list[int]] | None = None,
contents: dict[str, str] | None = None,
pictures: dict[str, list[str]] | None = None,
) -> DiscoveredEvidence:
"""One capability's records, as the compactor would find them."""
cited = cited or {}
contents = contents or {}
pictures = pictures or {}
record = CapabilityEvidenceRecord(question=max(max(cited.values(), default=[0])))
for chunk_id, questions in cited.items():
record.occurrences[chunk_id] = EvidenceOccurrence(
capability=capability,
chunk_id=chunk_id,
retrieved_in_questions=list(questions),
cited_in_questions=list(questions),
)
return DiscoveredEvidence(
capability=capability,
record=record,
state_carried=True,
citations={
chunk_id: citation(
chunk_id,
contents.get(chunk_id, "evidence body"),
pictures.get(chunk_id, ()),
)
for chunk_id in cited
},
tool_names=frozenset({f"{capability}_search"}),
cite_available=True,
)
def test_a_retained_picture_carries_the_source_it_came_from():
"""Compaction re-fetches cited pictures later, so the capsule has to remember
which database each came from."""
found = discovered(cited={"c1": [2]}, pictures={"c1": ["#/pictures/0"]})
found = replace(
found,
citations={"c1": replace_citation(found.citations["c1"], source="beta")},
)
capsule = build_capsule([found])
[picture] = capsule.pictures
assert picture.source == "beta"
def test_nothing_cited_produces_no_capsule():
capsule = build_capsule([discovered()])
assert capsule.text == ""
assert capsule.pictures == ()
def test_cited_evidence_is_grouped_newest_question_first():
capsule = build_capsule([discovered(cited={"old": [2], "new": [8]})])
assert capsule.text.index(group_label(1)) < capsule.text.index(group_label(2))
assert capsule.text.index("[new]") < capsule.text.index("[old]")
assert CAPSULE_HEADER in capsule.text
def test_an_entry_is_rendered_once_in_its_most_recent_citing_group():
capsule = build_capsule([discovered(cited={"reused": [2, 8], "only-old": [2]})])
assert capsule.text.count("[reused]") == 1
assert capsule.text.index("[reused]") < capsule.text.index("[only-old]")
def test_evidence_cited_in_one_question_forms_one_group():
capsule = build_capsule([discovered(cited={"a": [4], "b": [4]})])
assert group_label(1) in capsule.text
assert group_label(2) not in capsule.text
def test_every_cited_entry_is_kept_whole():
"""No budget: a long citation is retained in full rather than truncated."""
body = "L" * 20_000
capsule = build_capsule([discovered(cited={"long": [4]}, contents={"long": body})])
assert body in capsule.text
def test_both_capabilities_share_one_capsule():
capsule = build_capsule(
[
discovered("rag", cited={"from-rag": [4]}),
discovered("analysis", cited={"from-analysis": [6]}),
]
)
assert capsule.text.count(CAPSULE_HEADER) == 1
assert "[from-rag]" in capsule.text
assert "[from-analysis]" in capsule.text
def test_the_same_chunk_id_under_two_capabilities_is_kept_apart():
capsule = build_capsule(
[
discovered("rag", cited={"shared": [4]}, contents={"shared": "rag body"}),
discovered(
"analysis", cited={"shared": [4]}, contents={"shared": "analysis body"}
),
]
)
assert "rag body" in capsule.text
assert "analysis body" in capsule.text
def test_cited_evidence_with_no_canonical_citation_is_an_error():
"""Both are written by the same call, so divergence is not a valid state.
Rendering the rest would quietly drop evidence an answer rested on, against
the one guarantee this capsule makes.
"""
evidence = discovered(cited={"present": [4]})
evidence.record.occurrences["absent"] = EvidenceOccurrence(
capability="rag", chunk_id="absent", cited_in_questions=[4]
)
with pytest.raises(ValueError, match="absent"):
build_capsule([evidence])
def test_retrieved_but_uncited_evidence_is_not_kept():
evidence = discovered(cited={"cited": [4]})
evidence.record.occurrences["seen-only"] = EvidenceOccurrence(
capability="rag", chunk_id="seen-only", retrieved_in_questions=[4]
)
capsule = build_capsule([evidence])
assert "[cited]" in capsule.text
assert "seen-only" not in capsule.text
def test_a_source_is_named_once_when_the_title_is_the_uri():
"""Real corpora set both to the document id, which reads as a stutter."""
evidence = discovered(cited={"a": [4]})
evidence.citations["a"].document_title = "2410.11843v5"
evidence.citations["a"].document_uri = "2410.11843v5"
capsule = build_capsule([evidence])
assert 'Source: "2410.11843v5"' in capsule.text
assert "2410.11843v5)" not in capsule.text
def test_pictures_of_cited_evidence_are_all_retained_newest_first():
capsule = build_capsule(
[
discovered(
cited={"a": [2], "c": [6]},
pictures={"a": ["#/pictures/0"], "c": ["#/pictures/1", "#/pictures/2"]},
)
]
)
assert [picture.self_ref for picture in capsule.pictures] == [
"#/pictures/1",
"#/pictures/2",
"#/pictures/0",
]
assert capsule.pictures[0].document_id == "doc-of-c"
assert capsule.pictures[0].capability == "rag"
def test_a_picture_of_uncited_evidence_is_not_retained():
found = discovered(cited={"cited": [4]}, pictures={"cited": ["#/pictures/0"]})
found.record.occurrences["seen-only"] = EvidenceOccurrence(
capability="rag", chunk_id="seen-only", retrieved_in_questions=[4]
)
evidence = replace(
found,
citations={
**found.citations,
"seen-only": citation("seen-only", pictures=["#/pictures/9"]),
},
)
capsule = build_capsule([evidence])
assert [picture.self_ref for picture in capsule.pictures] == ["#/pictures/0"]
def test_one_picture_cited_through_two_chunks_is_attached_once():
"""Overlapping chunks of one document share a figure, counted twice by a provider."""
found = discovered(
cited={"first": [4], "second": [4]},
pictures={"first": ["#/pictures/1"], "second": ["#/pictures/1"]},
)
shared = {
chunk_id: replace_citation(cited, document_id="doc-shared")
for chunk_id, cited in found.citations.items()
}
capsule = build_capsule([replace(found, citations=shared)])
assert len(capsule.pictures) == 1
assert capsule.pictures[0].chunk_id == "first"
def test_the_same_reference_in_two_documents_is_kept_twice():
"""``#/pictures/1`` means a different figure in a different document.
One capability throughout, so only the document differs: dropping the document
from the identity would have to fail this.
"""
capsule = build_capsule(
[
discovered(
"rag",
cited={"a": [4], "b": [4]},
pictures={"a": ["#/pictures/1"], "b": ["#/pictures/1"]},
)
]
)
assert len(capsule.pictures) == 2
assert {picture.capability for picture in capsule.pictures} == {"rag"}
assert {picture.document_id for picture in capsule.pictures} == {
"doc-of-a",
"doc-of-b",
}
def test_a_picture_label_names_the_chunk_it_belongs_to():
capsule = build_capsule(
[discovered(cited={"a": [4]}, pictures={"a": ["#/pictures/0"]})]
)
label = capsule.pictures[0].label
assert "[a]" in label
assert "#/pictures/0" in label
assert "knowledge base" in label
assert "Not provided by the user" in label
def _spy_discovery(found: list[list[DiscoveredEvidence]]):
"""Discover from ``before_run``, the earliest point the registry is reliable."""
original = EvidenceCompactionCapability.before_run
async def spy(self, ctx):
await original(self, ctx)
found.append(discover_evidence(ctx))
return patch.object(EvidenceCompactionCapability, "before_run", spy)
async def _answer(_messages, _info):
return ModelResponse(parts=[TextPart("answer")])
@pytest.mark.asyncio
async def test_the_compactor_discovers_both_evidence_capabilities(temp_db_path):
"""Discovery runs one way through the registry, so nothing needs wiring."""
compactor = create_compaction()
rag = create_rag(db_path=temp_db_path, config=AppConfig(), defer_loading=False)
analysis = create_analysis(
db_path=temp_db_path, config=AppConfig(), defer_loading=False
)
found: list[list[DiscoveredEvidence]] = []
with _spy_discovery(found):
agent = Agent(
FunctionModel(_answer),
deps_type=Deps,
capabilities=[rag, analysis, compactor],
)
await agent.run("a question", deps=Deps())
assert {evidence.capability: set(evidence.tool_names) for evidence in found[0]} == {
"rag": {"rag_search"},
"analysis": {"analysis_search", "analysis_execute_code"},
}
@pytest.mark.asyncio
async def test_discovery_sees_the_run_instances_not_the_registered_ones(temp_db_path):
"""A registered capability holds no state; only its per-run copy does."""
compactor = create_compaction()
rag = create_rag(db_path=temp_db_path, config=AppConfig(), defer_loading=False)
found: list[list[DiscoveredEvidence]] = []
with _spy_discovery(found):
agent = Agent(
FunctionModel(_answer), deps_type=Deps, capabilities=[rag, compactor]
)
await agent.run("a question", deps=Deps())
assert rag.state is None
assert found[0][0].record.question == 0
def test_two_compactors_fail_fast(temp_db_path):
"""Each would rewrite the same history and each would build its own capsule.
They share this capability's id, so pydantic-ai refuses at construction and
nothing here has to police it.
"""
rag = create_rag(db_path=temp_db_path, config=AppConfig(), defer_loading=False)
with pytest.raises(UserError, match="unique within a run"):
Agent(
FunctionModel(_answer),
deps_type=Deps,
capabilities=[rag, create_compaction(), create_compaction()],
)
@pytest.mark.asyncio
async def test_a_compactor_alone_discovers_nothing_and_still_runs():
found: list[list[DiscoveredEvidence]] = []
with _spy_discovery(found):
agent = Agent(
FunctionModel(_answer), deps_type=Deps, capabilities=[create_compaction()]
)
result = await agent.run("a question", deps=Deps())
assert found == [[]]
assert result.output == "answer"
@pytest.mark.asyncio
async def test_a_deferred_capability_the_model_never_loaded_has_an_empty_record(
temp_db_path,
):
"""It is still discovered, because every registered capability gets a run copy.
Nothing was retrieved under it, so its record contributes no entries and the
compactor needs no special case for it.
"""
deferred = create_rag(db_path=temp_db_path, config=AppConfig())
found: list[list[DiscoveredEvidence]] = []
with _spy_discovery(found):
agent = Agent(
FunctionModel(_answer),
deps_type=Deps,
capabilities=[deferred, create_compaction()],
)
await agent.run("a question", deps=Deps())
assert deferred.defer_loading is True
assert deferred.state is None
assert [evidence.capability for evidence in found[0]] == ["rag"]
assert found[0][0].record.occurrences == {}
assert build_capsule(found[0]).text == ""