Match capability instructions to the run's collection scope
The collection block was chosen when the capability was built, so a run narrowed through `state.sources` to one collection was still told how to attribute across collections it could not reach, while its results correctly carried no `Collection:` line. `get_instructions` composes it per run instead, from `state.sources` where the question narrowed the conversation and from the lent client or the scope otherwise. Order is preamble, base instructions, collection block.
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8 changed files with 106 additions and 56 deletions
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@ -166,6 +166,8 @@ class RAGCapabilityBase[StateT: EvidenceState](AbstractCapability[Any]):
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state_type: type[StateT]
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state_namespace: str
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instruction_text: str
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collection_instructions: str
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"""Appended for a run that spans more than one collection."""
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vision: bool
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tool_names: frozenset[str]
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request_limit: int | None = None
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@ -235,10 +237,27 @@ class RAGCapabilityBase[StateT: EvidenceState](AbstractCapability[Any]):
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run_capability._sync_state()
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return run_capability
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@property
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def spans_collections(self) -> bool:
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"""Whether this run reads more than one collection.
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A question narrows the conversation through `sources`, so a capability
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built over a set can still run against one collection, and telling it
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how to attribute across collections it cannot reach is noise.
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"""
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if self.state is not None and self.state.sources is not None:
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return len(set(self.state.sources)) > 1
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if self.borrowed_rag is not None:
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return self.borrowed_rag.covers_multiple
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return self.scope.covers_multiple
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def get_instructions(self) -> str:
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parts = [self.instruction_text]
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if self.config.prompts.domain_preamble:
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return f"{self.config.prompts.domain_preamble}\n\n{self.instruction_text}"
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return self.instruction_text
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parts.insert(0, self.config.prompts.domain_preamble)
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if self.spans_collections:
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parts.append(self.collection_instructions)
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return "\n\n".join(parts)
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async def before_model_request(
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self, ctx: RunContext[Any], request_context: ModelRequestContext
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@ -25,8 +25,8 @@ STATE_NAMESPACE = "analysis"
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_CAPABILITY_ID = "haiku-rag-analysis"
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_TOOL_NAMES = frozenset({"analysis_search", "analysis_execute_code", "analysis_cite"})
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_instructions_path = Path(__file__).parent / "instructions" / "analysis.md"
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_multiple_databases_path = (
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Path(__file__).parent / "instructions" / "analysis_multiple_databases.md"
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_multiple_collections_path = (
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Path(__file__).parent / "instructions" / "analysis_multiple_collections.md"
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)
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@ -44,9 +44,9 @@ def instructions() -> str:
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@cache
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def multiple_databases_instructions() -> str:
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"""Appended only where the capability covers multiple databases."""
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return _multiple_databases_path.read_text().rstrip()
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def multiple_collections_instructions() -> str:
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"""Appended for a run that spans more than one collection."""
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return _multiple_collections_path.read_text().rstrip()
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def _recovery_hint(stderr: str) -> str:
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@ -212,18 +212,14 @@ def create_capability(
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config = get_config()
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analysis_model = config.analysis.model or config.qa.model
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scope = resolve_scope(db_path, config)
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instruction_text = instructions()
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# A lent client covers what it covers; otherwise the scope says.
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covers_multiple = rag.covers_multiple if rag is not None else scope.covers_multiple
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if covers_multiple:
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instruction_text += multiple_databases_instructions()
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return AnalysisCapability(
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scope=scope,
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config=config,
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borrowed_rag=rag,
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state_type=AnalysisState,
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state_namespace=STATE_NAMESPACE,
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instruction_text=instruction_text,
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instruction_text=instructions(),
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collection_instructions=multiple_collections_instructions(),
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vision=analysis_model.vision if vision is None else vision,
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tool_names=_TOOL_NAMES,
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request_limit=request_limit,
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@ -0,0 +1,14 @@
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## Multiple collections
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The corpus spans multiple collections, and each interface names them differently:
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- Results from searches spanning multiple collections carry a `Collection:` line.
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- In code, `await search(...)` and `await list_documents()` return `source`, the
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collection an item came from.
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- The mounted files do not. `/documents/{id}/metadata.json` has no `source`, so
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map ids to collections with `await list_documents()` before reading the
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filesystem per collection.
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Group, count and compare by `source` when the question is about collections
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rather than about documents.
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@ -1,14 +0,0 @@
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## Multiple databases
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The corpus spans several databases, and each interface names them differently:
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- `analysis_search` results carry a `Database:` line.
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- In code, `await search(...)` and `await list_documents()` return `source`, the
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configured database an item came from.
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- The mounted files do not. `/documents/{id}/metadata.json` has no `source`, so
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map ids to databases with `await list_documents()` before reading the
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filesystem per database.
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Group, count and compare by `source` when the question is about databases rather
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than about documents.
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@ -0,0 +1,6 @@
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## Multiple collections
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The corpus spans multiple collections. Results from searches spanning multiple
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collections carry a `Collection:` line naming the collection they came from. Say
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which collection an answer draws on when the question compares them.
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@ -1,6 +0,0 @@
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## Multiple databases
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The corpus spans several databases. Each result carries a `Database:` line naming
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the configured database it came from. Say which database an answer draws on when
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the question compares them.
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@ -29,8 +29,8 @@ STATE_NAMESPACE = "rag"
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_CAPABILITY_ID = "haiku-rag"
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_TOOL_NAMES = frozenset({"rag_search", "rag_cite"})
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_instructions_path = Path(__file__).parent / "instructions" / "rag.md"
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_multiple_databases_path = (
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Path(__file__).parent / "instructions" / "rag_multiple_databases.md"
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_multiple_collections_path = (
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Path(__file__).parent / "instructions" / "rag_multiple_collections.md"
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)
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@ -44,9 +44,9 @@ def instructions() -> str:
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@cache
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def multiple_databases_instructions() -> str:
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"""Appended only where the capability covers multiple databases."""
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return _multiple_databases_path.read_text().rstrip()
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def multiple_collections_instructions() -> str:
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"""Appended for a run that spans more than one collection."""
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return _multiple_collections_path.read_text().rstrip()
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@dataclass
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@ -115,18 +115,14 @@ def create_capability(
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config = get_config()
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scope = resolve_scope(db_path, config)
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instruction_text = instructions()
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# A lent client covers what it covers; otherwise the scope says.
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covers_multiple = rag.covers_multiple if rag is not None else scope.covers_multiple
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if covers_multiple:
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instruction_text += multiple_databases_instructions()
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return RAGCapability(
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scope=scope,
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config=config,
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borrowed_rag=rag,
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state_type=RAGState,
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state_namespace=STATE_NAMESPACE,
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instruction_text=instruction_text,
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instruction_text=instructions(),
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collection_instructions=multiple_collections_instructions(),
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vision=config.qa.model.vision if vision is None else vision,
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tool_names=_TOOL_NAMES,
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request_limit=request_limit,
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@ -1613,9 +1613,9 @@ async def test_an_answered_question_is_no_longer_in_progress(temp_db_path):
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assert record.in_progress is False
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class TestSeveralDatabasesInstructions:
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"""The note follows what a capability opens, not what the configuration
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names, so a single database is instructed exactly as it was before databases
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class TestMultipleCollectionsInstructions:
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"""The note follows what a run reads, not what the configuration names, so a
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run over one collection is instructed exactly as it was before collections
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could be named."""
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@staticmethod
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@ -1674,25 +1674,64 @@ class TestSeveralDatabasesInstructions:
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for factory in (create_rag, create_analysis):
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capability = factory(config=config, rag=covering)
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assert "source" in capability.instruction_text or (
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"Database:" in capability.instruction_text
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)
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assert "Collection:" in capability.get_instructions()
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def test_the_rag_note_names_the_line_a_result_carries(self):
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config = self._config(alpha="/a.lancedb", beta="/b.lancedb")
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text = create_rag(config=config).instruction_text
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text = create_rag(config=config).get_instructions()
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assert "Database:" in text
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assert "Collection:" in text
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def test_the_analysis_note_separates_the_interfaces(self):
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"""The three interfaces name a database differently, and the mounted
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"""The three interfaces name a collection differently, and the mounted
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files do not name it at all."""
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config = self._config(alpha="/a.lancedb", beta="/b.lancedb")
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text = create_analysis(config=config).instruction_text
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text = create_analysis(config=config).get_instructions()
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assert "Database:" in text # analysis_search results
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assert "Collection:" in text # analysis_search results
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assert "source" in text # in-code search / list_documents
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assert "metadata.json" in text # the mounted files, which lack it
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assert "list_documents" in text # how to map ids to databases
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assert "list_documents" in text # how to map ids to collections
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def test_a_run_narrowed_to_one_collection_drops_the_note(self):
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"""A question narrows the conversation, so a capability over a set can
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still read one collection."""
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config = self._config(alpha="/a.lancedb", beta="/b.lancedb")
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rag = create_rag(config=config)
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rag.state = RAGState(sources=["alpha"])
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analysis = create_analysis(config=config)
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analysis.state = AnalysisState(sources=["alpha"])
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assert "Collection:" not in rag.get_instructions()
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assert "Collection:" not in analysis.get_instructions()
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def test_a_run_narrowed_to_two_collections_keeps_the_note(self):
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config = self._config(alpha="/a.lancedb", beta="/b.lancedb", gamma="/c.lancedb")
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capability = create_rag(config=config)
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capability.state = RAGState(sources=["alpha", "beta"])
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assert "Collection:" in capability.get_instructions()
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def test_an_unnarrowed_run_follows_the_lent_client(self):
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config = self._config(alpha="/a.lancedb", beta="/b.lancedb")
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one = create_rag(config=config, rag=self._client({}))
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one.state = RAGState()
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covering = create_rag(
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config=config, rag=self._client({"alpha": "/a", "beta": "/b"})
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)
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covering.state = RAGState()
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assert "Collection:" not in one.get_instructions()
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assert "Collection:" in covering.get_instructions()
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def test_the_note_follows_the_preamble_and_the_base(self):
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config = self._config(alpha="/a.lancedb", beta="/b.lancedb")
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config.prompts.domain_preamble = "PREAMBLE"
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text = create_rag(config=config).get_instructions()
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assert text.index("PREAMBLE") < text.index("# RAG") < text.index("Collection:")
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