From 6af8913faa6bc9c47e3162dcd5b68fcacb2505a6 Mon Sep 17 00:00:00 2001 From: mathislucka Date: Fri, 31 Jan 2025 10:07:42 +0100 Subject: [PATCH 01/37] add super component utils --- .../core/super_component/utils.py | 188 ++++++++++++++++++ 1 file changed, 188 insertions(+) create mode 100644 haystack_experimental/core/super_component/utils.py diff --git a/haystack_experimental/core/super_component/utils.py b/haystack_experimental/core/super_component/utils.py new file mode 100644 index 00000000..c65e2a63 --- /dev/null +++ b/haystack_experimental/core/super_component/utils.py @@ -0,0 +1,188 @@ +# SPDX-FileCopyrightText: 2022-present deepset GmbH +# +# SPDX-License-Identifier: Apache-2.0 + +from typing import Annotated, Any, TypeVar, Union, get_args, get_origin + +from haystack.core.component.types import HAYSTACK_GREEDY_VARIADIC_ANNOTATION, HAYSTACK_VARIADIC_ANNOTATION + + +class _delegate_default: + """Custom object for delegating filling of default values to the underlying components.""" + +T = TypeVar("T") + +def is_compatible(type1: T, type2: T, unwrap_nested: bool = True) -> bool: + """ + Check if two types are compatible (bidirectional/symmetric check). + + :param type1: First type to compare + :param type2: Second type to compare + :param unwrap_nested: If True, recursively unwraps nested Optional and Variadic types. + If False, only unwraps at the top level. + :return: True if types are compatible, False otherwise + """ + type1_unwrapped = _unwrap_all(type1, recursive=unwrap_nested) + type2_unwrapped = _unwrap_all(type2, recursive=unwrap_nested) + + return _types_are_compatible(type1_unwrapped, type2_unwrapped) + + +def _types_are_compatible(type1: T, type2: T) -> bool: + """ + Core type compatibility check implementing symmetric matching. + + :param type1: First unwrapped type to compare + :param type2: Second unwrapped type to compare + :return: True if types are compatible, False otherwise + """ + # Handle Any type and direct equality + if type1 is Any or type2 is Any or type1 == type2: + return True + + type1_origin = get_origin(type1) + type2_origin = get_origin(type2) + + # Handle Union types + if type1_origin is Union or type2_origin is Union: + return _check_union_compatibility(type1, type2, type1_origin, type2_origin) + + # Handle non-Union types + return _check_non_union_compatibility(type1, type2, type1_origin, type2_origin) + + +def _check_union_compatibility(type1: T, type2: T, type1_origin: Any, type2_origin: Any) -> bool: + """Handle all Union type compatibility cases.""" + if type1_origin is Union and type2_origin is not Union: + return any(_types_are_compatible(union_arg, type2) + for union_arg in get_args(type1)) + if type2_origin is Union and type1_origin is not Union: + return any(_types_are_compatible(type1, union_arg) + for union_arg in get_args(type2)) + # Both are Union types + return any(any(_types_are_compatible(arg1, arg2) + for arg2 in get_args(type2)) + for arg1 in get_args(type1)) + + +def _check_non_union_compatibility(type1: T, type2: T, type1_origin: Any, type2_origin: Any) -> bool: + """Handle non-Union type compatibility cases.""" + # If no origin, compare types directly + if not type1_origin and not type2_origin: + return type1 == type2 + + # Both must have origins and they must be equal + if not (type1_origin and type2_origin and type1_origin == type2_origin): + return False + + # Compare generic type arguments + type1_args = get_args(type1) + type2_args = get_args(type2) + + if len(type1_args) != len(type2_args): + return False + + return all(_types_are_compatible(t1_arg, t2_arg) + for t1_arg, t2_arg in zip(type1_args, type2_args)) + +def _handle_union_type_matches(type1: T, type2: T, type1_origin: T, type2_origin: T) -> bool: + """ + Handles cases where either type is Union. + """ + if type1_origin is Union and type2_origin is not Union: + return any(_types_are_compatible(union_arg, type2) + for union_arg in get_args(type1)) + if type2_origin is Union and type1_origin is not Union: + return any(_types_are_compatible(type1, union_arg) + for union_arg in get_args(type2)) + else: + return any(any(_types_are_compatible(arg1, arg2) + for arg2 in get_args(type2)) + for arg1 in get_args(type1)) + +def _unwrap_all(t: T, recursive: bool) -> T: + """ + Unwrap a type until no more unwrapping is possible. + + :param t: Type to unwrap + :param recursive: If True, recursively unwraps nested types + :return: The fully unwrapped type + """ + # First handle top-level Variadic/GreedyVariadic + if _is_variadic_type(t): + t = _unwrap_variadics(t, recursive=recursive) + else: + # If it's a generic type and we're unwrapping recursively + origin = get_origin(t) + if recursive and origin is not None: + args = get_args(t) + if args: + unwrapped_args = tuple(_unwrap_all(arg, recursive) for arg in args) + t = origin[unwrapped_args] + + # Then handle top-level Optional + if _is_optional_type(t): + t = _unwrap_optionals(t, recursive=recursive) + + return t + + +def _is_variadic_type(t: T) -> bool: + """Check if type is a Variadic or GreedyVariadic type.""" + origin = get_origin(t) + if origin is Annotated: + args = get_args(t) + return len(args) >= 2 and args[1] in (HAYSTACK_VARIADIC_ANNOTATION, HAYSTACK_GREEDY_VARIADIC_ANNOTATION) # noqa: PLR2004 + return False + + +def _is_optional_type(t: T) -> bool: + """Check if type is an Optional type.""" + origin = get_origin(t) + if origin is Union: + args = get_args(t) + return type(None) in args + return False + + +def _unwrap_variadics(t: T, recursive: bool) -> T: + """ + Unwrap Variadic or GreedyVariadic annotated types. + + :param t: Type to unwrap + :param recursive: If True, recursively unwraps nested types + :return: Unwrapped type if it was a variadic type, original type otherwise + """ + if not _is_variadic_type(t): + return t + + args = get_args(t) + # Get the Iterable[X] type and extract X + iterable_type = args[0] + inner_type = get_args(iterable_type)[0] + + # Only recursively unwrap if requested + if recursive: + return _unwrap_all(inner_type, recursive) + return inner_type + + +def _unwrap_optionals(t: T, recursive: bool) -> T: + """ + Unwrap Optional[...] types (Union[X, None]). + + :param t: Type to unwrap + :param recursive: If True, recursively unwraps nested types + :return: Unwrapped type if it was an Optional, original type otherwise + """ + if not _is_optional_type(t): + return t + + args = list(get_args(t)) + args.remove(type(None)) + result = args[0] if len(args) == 1 else Union[tuple(args)] # type: ignore + + # Only recursively unwrap if requested + if recursive: + return _unwrap_all(result, recursive) # type: ignore + return result # type: ignore From fc20b499967439e229fc036338620900794e37e5 Mon Sep 17 00:00:00 2001 From: mathislucka Date: Fri, 31 Jan 2025 10:08:35 +0100 Subject: [PATCH 02/37] add super component base --- .../core/super_component/base.py | 397 ++++++++++++++++++ 1 file changed, 397 insertions(+) create mode 100644 haystack_experimental/core/super_component/base.py diff --git a/haystack_experimental/core/super_component/base.py b/haystack_experimental/core/super_component/base.py new file mode 100644 index 00000000..9ecb5b00 --- /dev/null +++ b/haystack_experimental/core/super_component/base.py @@ -0,0 +1,397 @@ +# SPDX-FileCopyrightText: 2022-present deepset GmbH +# +# SPDX-License-Identifier: Apache-2.0 + +from typing import Any, Dict, List, Optional, Tuple + +from haystack import Pipeline, component +from haystack.core.serialization import default_to_dict + +from haystack_experimental.core.super_component.utils import _delegate_default, is_compatible + + +class InvalidMappingError(Exception): + """Raised when input or output mappings are invalid or type conflicts are found.""" + + pass + + + +class SuperComponentBase: + """ + A base class for creating super components that wrap around a Pipeline. + + This wrapper allows for remapping of input and output socket names between the wrapped + pipeline and the external interface. It handles type checking and verification of all + mappings. + + :param pipeline: The pipeline wrapped by the component + :param input_mapping: Mapping from wrapper input names to lists of pipeline socket paths + in format "component_name.socket_name" + :param output_mapping: Mapping from pipeline socket paths to wrapper output names + :raises InvalidMappingError: If any input or output mappings are invalid or if type + conflicts are detected + :raises ValueError: If no pipeline is provided + """ + + def __init__( + self, + pipeline: Pipeline, + input_mapping: Optional[Dict[str, List[str]]] = None, + output_mapping: Optional[Dict[str, str]] = None, + ) -> None: + """ + Initialize the pipeline wrapper with optional I/O mappings. + + :param pipeline: The pipeline to wrap + :param input_mapping: Optional input name mapping configuration + :param output_mapping: Optional output name mapping configuration + """ + self.pipeline: Pipeline = pipeline + self.input_mapping: Optional[Dict[str, List[str]]] = input_mapping + self.output_mapping: Optional[Dict[str, str]] = output_mapping + self._set_io_types() + self.warmed_up = False + + def warm_up(self) -> None: + """ + Warms up the pipeline if it has not been warmed up before. + """ + if not self.warmed_up: + self.pipeline.warm_up() + self.warmed_up = True + + def _set_io_types(self) -> None: + """ + Initialize pipeline by resolving input/output types and setting them on wrapper. + + :raises InvalidMappingError: If type conflicts are found in input or output mappings + """ + input_types = self._resolve_input_types() + self._set_input_types(input_types) + output_types = self._resolve_output_types() + component.set_output_types(self, **output_types) + + @staticmethod + def _split_component_path(path: str) -> Tuple[str, str]: + """ + Split a component path into component name and socket name. + + :param path: String in format "component_name.socket_name" + :return: Tuple of (component_name, socket_name) + :raises InvalidMappingError: If path format is invalid + """ + try: + comp_name, socket_name = path.split(".") + return comp_name, socket_name + except ValueError: + raise InvalidMappingError(f"Invalid path format: {path}. Expected 'component_name.socket_name'") + + def _resolve_input_types(self) -> Dict[str, Dict[str, Any]]: + """ + Resolve input types from pipeline and set them on wrapper. + + Examines the pipeline's declared inputs and merges them with the input mapping + to check for type conflicts and set appropriate input types on the wrapper component. + + :returns: The resolved input type data according to auto-resolution or input mapping. + :raises InvalidMappingError: If type conflicts are found or mapped components/sockets + don't exist + """ + pipeline_inputs = self.pipeline.inputs(include_components_with_connected_inputs=False) + + if input_mapping := self.input_mapping or self.pipeline.metadata.get("input_mapping"): + return self._handle_explicit_input_mapping(pipeline_inputs, input_mapping) + else: + return self._handle_auto_input_mapping(pipeline_inputs) + + def _handle_explicit_input_mapping( # noqa: PLR0912 + self, pipeline_inputs: Dict[str, Dict[str, Any]], input_mapping: Dict[str, List[str]] + ) -> Dict[str, Dict[str, Any]]: + """ + Handle case where explicit input mapping is provided. + + :param pipeline_inputs: Dictionary of pipeline input specifications + :param input_mapping: Mapping from wrapper inputs to pipeline socket paths + :returns: The resolved input type data resolved according to the input mapping. + :raises InvalidMappingError: If mapping is invalid or type conflicts exist + """ + aggregated_inputs: Dict[str, Dict[str, Any]] = {} + for wrapper_input_name, pipeline_input_paths in input_mapping.items(): + if not isinstance(pipeline_input_paths, list): + pipeline_input_paths = [pipeline_input_paths] + + for path in pipeline_input_paths: + comp_name, socket_name = self._split_component_path(path) + + if comp_name not in pipeline_inputs: + raise InvalidMappingError(f"Component '{comp_name}' not found in pipeline inputs.") + + if socket_name not in pipeline_inputs[comp_name]: + raise InvalidMappingError(f"Input socket '{socket_name}' not found in component '{comp_name}'.") + + socket_info = pipeline_inputs[comp_name][socket_name] + if existing_socket_info := aggregated_inputs.get(wrapper_input_name): + if not is_compatible(existing_socket_info["type"], socket_info["type"]): + raise InvalidMappingError( + f"Type conflict for input '{socket_name}': " + f"found {existing_socket_info['type']} and {socket_info['type']}" + ) + + # If any socket requires mandatory inputs it has to take precedence + if not aggregated_inputs[wrapper_input_name]["is_mandatory"]: + aggregated_inputs[wrapper_input_name]["is_mandatory"] = socket_info["is_mandatory"] + else: + aggregated_inputs[wrapper_input_name] = socket_info + + return aggregated_inputs + + @staticmethod + def _handle_auto_input_mapping(pipeline_inputs: Dict[str, Dict[str, Any]]) -> Dict[str, Dict[str, Any]]: + """ + Handle case where input mapping should be auto-detected. + + :param pipeline_inputs: Dictionary of pipeline input specifications + :returns: The resolved input type data resolved according to auto-resolution. + :raises InvalidMappingError: If type conflicts exist between components + """ + aggregated_inputs: Dict[str, Dict[str, Any]] = {} + + for inputs_dict in pipeline_inputs.values(): + for socket_name, socket_info in inputs_dict.items(): + if existing_socket_info := aggregated_inputs.get(socket_name): + if not is_compatible(existing_socket_info["type"], socket_info["type"]): + raise InvalidMappingError( + f"Type conflict for input '{socket_name}': " + f"found {existing_socket_info['type']} and {socket_info['type']}" + ) + + # If any socket requires mandatory inputs it has to take precedence + if not existing_socket_info["is_mandatory"]: + aggregated_inputs[socket_name]["is_mandatory"] = socket_info["is_mandatory"] + else: + aggregated_inputs[socket_name] = socket_info + + + return aggregated_inputs + + def _set_input_types(self, aggregated_inputs: Dict[str, Dict[str, Any]]) -> None: + """ + Sets the components input types. + + :param aggregated_inputs: The input types to set. + """ + for input_name, info in aggregated_inputs.items(): + if info["is_mandatory"]: + component.set_input_type(self, input_name, info["type"]) + else: + component.set_input_type(self, input_name, info["type"], default=_delegate_default) + + def _resolve_output_types(self) -> Dict[str, Any]: + """ + Resolve output types based on pipeline outputs and mapping. + + :return: Dictionary mapping wrapper output names to their types + :raises InvalidMappingError: If mapping is invalid or output conflicts exist + """ + pipeline_outputs = self.pipeline.outputs(include_components_with_connected_outputs=False) + + if output_mapping := self.output_mapping or self.pipeline.metadata.get("output_mapping"): + return self._handle_explicit_output_mapping(pipeline_outputs, output_mapping) + else: + return self._handle_auto_output_mapping(pipeline_outputs) + + def _handle_explicit_output_mapping( + self, pipeline_outputs: Dict[str, Dict[str, Any]], output_mapping: Dict[str, str] + ) -> Dict[str, Any]: + """ + Handle case where explicit output mapping is provided. + + :param pipeline_outputs: Dictionary of pipeline output specifications + :param output_mapping: Mapping from pipeline paths to wrapper output names + :return: Dictionary of resolved output types + :raises InvalidMappingError: If mapping is invalid + """ + resolved_outputs = {} + for pipeline_output_path, wrapper_output_name in output_mapping.items(): + comp_name, socket_name = self._split_component_path(pipeline_output_path) + + if comp_name not in pipeline_outputs: + raise InvalidMappingError(f"Component '{comp_name}' not found among pipeline outputs.") + if socket_name not in pipeline_outputs[comp_name]: + raise InvalidMappingError(f"Output socket '{socket_name}' not found in component '{comp_name}'.") + if wrapper_output_name in resolved_outputs: + raise InvalidMappingError(f"Duplicate wrapper output name '{wrapper_output_name}' in output_mapping.") + + resolved_outputs[wrapper_output_name] = pipeline_outputs[comp_name][socket_name]["type"] + + return resolved_outputs + + @staticmethod + def _handle_auto_output_mapping(pipeline_outputs: Dict[str, Dict[str, Any]]) -> Dict[str, Any]: + """ + Handle case where output mapping should be auto-detected. + + :param pipeline_outputs: Dictionary of pipeline output specifications + :return: Dictionary of resolved output types + :raises InvalidMappingError: If output conflicts exist + """ + resolved_outputs = {} + used_output_names: set[str] = set() + + for outputs_dict in pipeline_outputs.values(): + for socket_name, socket_info in outputs_dict.items(): + if socket_name in used_output_names: + raise InvalidMappingError( + f"Output name conflict: '{socket_name}' is produced by multiple components. " + "Please provide an output_mapping to disambiguate." + ) + resolved_outputs[socket_name] = socket_info["type"] + used_output_names.add(socket_name) + + return resolved_outputs + + def run(self, **kwargs: Any) -> Dict[str, Any]: + """ + Run the wrapped pipeline with the given inputs. + + This method: + 1. Maps input kwargs to pipeline component inputs + 2. Executes the pipeline + 3. Maps pipeline outputs back to wrapper outputs + + :param kwargs: Keyword arguments matching wrapper input names + :return: Dictionary mapping wrapper output names to values + :raises ValueError: If no pipeline is configured + :raises InvalidMappingError: If output conflicts occur during auto-mapping + """ + if not self.pipeline: + raise ValueError("No pipeline configured. Provide a valid pipeline before calling run().") + + pipeline_inputs = self._prepare_pipeline_inputs(kwargs) + pipeline_outputs = self.pipeline.run(data=pipeline_inputs) + return self._process_pipeline_outputs(pipeline_outputs) + + def _prepare_pipeline_inputs(self, inputs: Dict[str, Any]) -> Dict[str, Dict[str, Any]]: + """ + Prepare inputs for pipeline execution. + + :param inputs: Input arguments provided to wrapper + :return: Dictionary of pipeline inputs in required format + """ + # We delegate defaults to the existing default values of the components in the pipeline. + filtered_inputs = {param: value for param, value in inputs.items() if value != _delegate_default } + if input_mapping := self.input_mapping or self.pipeline.metadata.get("input_mapping"): + return self._map_explicit_inputs(input_mapping=input_mapping, inputs=filtered_inputs) + else: + return self._map_auto_inputs(filtered_inputs) + + def _map_explicit_inputs( + self, input_mapping: Dict[str, List[str]], inputs: Dict[str, Any] + ) -> Dict[str, Dict[str, Any]]: + """ + Map inputs according to explicit input mapping. + + :param input_mapping: Mapping configuration for inputs + :param inputs: Input arguments provided to wrapper + :return: Dictionary of mapped pipeline inputs + """ + pipeline_inputs: Dict[str, Dict[str, Any]] = {} + for wrapper_input_name, pipeline_input_paths in input_mapping.items(): + if wrapper_input_name not in inputs: + continue + + if not isinstance(pipeline_input_paths, list): + pipeline_input_paths = [pipeline_input_paths] + + for socket_path in pipeline_input_paths: + comp_name, input_name = self._split_component_path(socket_path) + if comp_name not in pipeline_inputs: + pipeline_inputs[comp_name] = {} + pipeline_inputs[comp_name][input_name] = inputs[wrapper_input_name] + + return pipeline_inputs + + def _map_auto_inputs(self, inputs: Dict[str, Any]) -> Dict[str, Dict[str, Any]]: + """ + Map inputs automatically based on matching names. + + :param inputs: Input arguments provided to wrapper + :return: Dictionary of mapped pipeline inputs + """ + pipeline_inputs: Dict[str, Dict[str, Any]] = {} + pipeline_decl_inputs = self.pipeline.inputs(include_components_with_connected_inputs=False) + + for comp_name, inputs_dict in pipeline_decl_inputs.items(): + for socket_name in inputs_dict.keys(): + if socket_name in inputs: + pipeline_inputs.setdefault(comp_name, {})[socket_name] = inputs[socket_name] + + return pipeline_inputs + + def _process_pipeline_outputs(self, pipeline_outputs: Dict[str, Dict[str, Any]]) -> Dict[str, Any]: + """ + Process outputs from pipeline execution. + + :param pipeline_outputs: Raw outputs from pipeline execution + :return: Dictionary of processed outputs + :raises InvalidMappingError: If output conflicts occur during auto-mapping + """ + if output_mapping := self.output_mapping or self.pipeline.metadata.get("output_mapping"): + return self._map_explicit_outputs(pipeline_outputs, output_mapping) + else: + return self._map_auto_outputs(pipeline_outputs) + + def _map_explicit_outputs( + self, pipeline_outputs: Dict[str, Dict[str, Any]], output_mapping: Dict[str, str] + ) -> Dict[str, Any]: + """ + Map outputs according to explicit output mapping. + + :param pipeline_outputs: Raw outputs from pipeline execution + :param output_mapping: Output mapping configuration + :return: Dictionary of mapped outputs + """ + outputs: Dict[str, Any] = {} + for pipeline_output_path, wrapper_output_name in output_mapping.items(): + comp_name, socket_name = self._split_component_path(pipeline_output_path) + if comp_name in pipeline_outputs and socket_name in pipeline_outputs[comp_name]: + outputs[wrapper_output_name] = pipeline_outputs[comp_name][socket_name] + return outputs + + @staticmethod + def _map_auto_outputs(pipeline_outputs: Dict[str, Dict[str, Any]]) -> Dict[str, Any]: + """ + Map outputs automatically based on matching names. + + :param pipeline_outputs: Raw outputs from pipeline execution + :return: Dictionary of mapped outputs + :raises InvalidMappingError: If output conflicts occur during auto-mapping + """ + outputs: Dict[str, Any] = {} + seen: set[str] = set() + + for comp_output_dict in pipeline_outputs.values(): + for socket_name, value in comp_output_dict.items(): + if socket_name in seen: + raise InvalidMappingError( + f"Output conflict: output '{socket_name}' is produced by multiple components. " + "Please provide an output_mapping to disambiguate." + ) + outputs[socket_name] = value + seen.add(socket_name) + + return outputs + + def to_super_component_dict(self) -> Dict[str, Any]: + """ + Convert to a SuperComponent dictionary representation. + + :return: Dictionary containing serialized SuperComponent data + """ + serialized_pipeline = self.pipeline.to_dict() + serialized = default_to_dict( + self, pipeline=serialized_pipeline, input_mapping=self.input_mapping, output_mapping=self.output_mapping + ) + serialized["type"] = "haystack_experimental.core.super_component.super_component.SuperComponent" + return serialized From ca66f49fc2f93529895275c679b9e4696e0dcd89 Mon Sep 17 00:00:00 2001 From: mathislucka Date: Fri, 31 Jan 2025 10:09:43 +0100 Subject: [PATCH 03/37] add super component --- .../core/super_component/super_component.py | 37 +++++++++++++++++++ 1 file changed, 37 insertions(+) create mode 100644 haystack_experimental/core/super_component/super_component.py diff --git a/haystack_experimental/core/super_component/super_component.py b/haystack_experimental/core/super_component/super_component.py new file mode 100644 index 00000000..c0ad5c72 --- /dev/null +++ b/haystack_experimental/core/super_component/super_component.py @@ -0,0 +1,37 @@ +# SPDX-FileCopyrightText: 2022-present deepset GmbH +# +# SPDX-License-Identifier: Apache-2.0 + +from typing import Any, Dict + +from haystack import Pipeline, component +from haystack.core.serialization import default_from_dict, default_to_dict + +from haystack_experimental.core.super_component.base import SuperComponentBase + + +@component +class SuperComponent(SuperComponentBase): + def to_dict(self) -> Dict[str, Any]: + """ + Convert the pipeline wrapper to a dictionary representation. + + :return: Dictionary containing serialized pipeline wrapper data + """ + serialized_pipeline = self.pipeline.to_dict() + return default_to_dict( + self, pipeline=serialized_pipeline, input_mapping=self.input_mapping, output_mapping=self.output_mapping + ) + + @classmethod + def from_dict(cls, data: Dict[str, Any]) -> "SuperComponent": + """ + Create a pipeline wrapper instance from a dictionary representation. + + :param data: Dictionary containing serialized pipeline wrapper data + :return: New PipelineWrapper instance + """ + pipeline = Pipeline.from_dict(data["init_parameters"]["pipeline"]) + data["init_parameters"]["pipeline"] = pipeline + + return default_from_dict(cls, data) From 251b9ae86b47e8bb570e3a13a321b3beee3f99b9 Mon Sep 17 00:00:00 2001 From: mathislucka Date: Fri, 31 Jan 2025 10:12:38 +0100 Subject: [PATCH 04/37] add init --- haystack_experimental/__init__.py | 2 +- haystack_experimental/core/__init__.py | 3 ++- haystack_experimental/core/super_component/__init__.py | 8 ++++++++ 3 files changed, 11 insertions(+), 2 deletions(-) create mode 100644 haystack_experimental/core/super_component/__init__.py diff --git a/haystack_experimental/__init__.py b/haystack_experimental/__init__.py index 23b89c86..48a8c91c 100644 --- a/haystack_experimental/__init__.py +++ b/haystack_experimental/__init__.py @@ -2,4 +2,4 @@ # # SPDX-License-Identifier: Apache-2.0 -from .core import AsyncPipeline, Pipeline +from .core import AsyncPipeline, Pipeline, SuperComponentBase, SuperComponent \ No newline at end of file diff --git a/haystack_experimental/core/__init__.py b/haystack_experimental/core/__init__.py index 763f1d8c..cc3d85c2 100644 --- a/haystack_experimental/core/__init__.py +++ b/haystack_experimental/core/__init__.py @@ -4,5 +4,6 @@ from .pipeline import Pipeline from .pipeline.async_pipeline import AsyncPipeline +from .super_component import SuperComponent, SuperComponentBase -_all_ = ["Pipeline"] +_all_ = ["Pipeline", "SuperComponent", "SuperComponentBase"] diff --git a/haystack_experimental/core/super_component/__init__.py b/haystack_experimental/core/super_component/__init__.py new file mode 100644 index 00000000..8c19895e --- /dev/null +++ b/haystack_experimental/core/super_component/__init__.py @@ -0,0 +1,8 @@ +# SPDX-FileCopyrightText: 2022-present deepset GmbH +# +# SPDX-License-Identifier: Apache-2.0 + +from .base import SuperComponentBase +from .super_component import SuperComponent + +_all_ = ["SuperComponent", "SuperComponentBase"] \ No newline at end of file From 948574fa56e10edfbcd12ddadc8b5b8640f74528 Mon Sep 17 00:00:00 2001 From: mathislucka Date: Fri, 31 Jan 2025 10:14:27 +0100 Subject: [PATCH 05/37] add SuperComponent tests --- .../super_component/test_super_component.py | 160 ++++++++++++++++++ 1 file changed, 160 insertions(+) create mode 100644 test/core/super_component/test_super_component.py diff --git a/test/core/super_component/test_super_component.py b/test/core/super_component/test_super_component.py new file mode 100644 index 00000000..4ce96336 --- /dev/null +++ b/test/core/super_component/test_super_component.py @@ -0,0 +1,160 @@ +# SPDX-FileCopyrightText: 2024-present deepset GmbH +# +# SPDX-License-Identifier: Apache-2.0 +from typing import List + +import pytest +from haystack import Document, Pipeline, component +from haystack.components.builders import AnswerBuilder, PromptBuilder +from haystack.components.generators import OpenAIGenerator +from haystack.components.joiners import DocumentJoiner +from haystack.components.retrievers.in_memory import InMemoryBM25Retriever +from haystack.dataclasses import GeneratedAnswer +from haystack.document_stores.in_memory import InMemoryDocumentStore +from haystack.document_stores.types import DuplicatePolicy +from haystack.utils.auth import Secret + +from haystack_experimental import SuperComponent + +@pytest.fixture +def mock_openai_generator(monkeypatch): + """Create a mock OpenAI Generator for testing.""" + + def mock_run(self, prompt: str, **kwargs): + return {"replies": ["This is a test response about capitals."]} + + monkeypatch.setattr(OpenAIGenerator, "run", mock_run) + return OpenAIGenerator(api_key=Secret.from_token("test-key")) + + +@pytest.fixture +def documents(): + """Create test documents for the document store.""" + return [ + Document(content="Paris is the capital of France."), + Document(content="Berlin is the capital of Germany."), + Document(content="Rome is the capital of Italy.") + ] + + +@pytest.fixture +def document_store(documents): + """Create and populate a test document store.""" + store = InMemoryDocumentStore() + store.write_documents(documents, policy=DuplicatePolicy.OVERWRITE) + return store + +@pytest.fixture +def rag_pipeline(document_store): + """Create a simple RAG pipeline.""" + @component + class FakeGenerator: + @component.output_types(replies=List[str]) + def run(self, prompt: str, **kwargs): + return {"replies": ["This is a test response about capitals."]} + + pipeline = Pipeline() + pipeline.add_component("retriever", InMemoryBM25Retriever(document_store=document_store)) + pipeline.add_component("prompt_builder", + PromptBuilder( + template="Given these documents: {{documents|join(', ',attribute='content')}} Answer: {{query}}")) + pipeline.add_component("llm", FakeGenerator()) + pipeline.add_component("answer_builder", AnswerBuilder()) + pipeline.add_component("joiner", DocumentJoiner()) + + pipeline.connect("retriever", "prompt_builder.documents") + pipeline.connect("prompt_builder", "llm") + pipeline.connect("llm.replies", "answer_builder.replies") + pipeline.connect("retriever.documents", "joiner.documents") + + return pipeline + + +class TestSuperComponent: + + def test_explicit_mapping(self, rag_pipeline): + # Create wrapper with input/output mappings + input_mapping = { + "search_query": ["retriever.query", "prompt_builder.query", "answer_builder.query"] + } + output_mapping = { + "answer_builder.answers": "final_answers" + } + + wrapper = SuperComponent( + pipeline=rag_pipeline, + input_mapping=input_mapping, + output_mapping=output_mapping + ) + + output_sockets = wrapper.__haystack_output__._sockets_dict + assert set(output_sockets.keys()) == {"final_answers"} + assert output_sockets["final_answers"].type == List[GeneratedAnswer] + + + input_sockets = wrapper.__haystack_input__._sockets_dict + assert set(input_sockets.keys()) == {"search_query"} + assert input_sockets["search_query"].type == str + + # Test normal query flow + result = wrapper.run(search_query="What is the capital of France?") + assert "final_answers" in result + assert isinstance(result["final_answers"][0], GeneratedAnswer) + + def test_auto_resolution(self, rag_pipeline): + wrapper = SuperComponent( + pipeline=rag_pipeline + ) + + output_sockets = wrapper.__haystack_output__._sockets_dict + assert set(output_sockets.keys()) == {"answers", "documents"} + assert output_sockets["answers"].type == List[GeneratedAnswer] + + + input_sockets = wrapper.__haystack_input__._sockets_dict + assert set(input_sockets.keys()) == { + "documents", + "filters", + "meta", + "pattern", + "query", + "reference_pattern", + "scale_score", + "template", + "template_variables", + "top_k" + } + assert input_sockets["query"].type == str + + # Test normal query flow + result = wrapper.run(query="What is the capital of France?") + assert "answers" in result + assert isinstance(result["answers"][0], GeneratedAnswer) + assert "documents" in result + + def test_wrapper_serialization(self, document_store): + """Test serialization and deserialization of pipeline wrapper.""" + pipeline = Pipeline() + pipeline.add_component("retriever", InMemoryBM25Retriever(document_store=document_store)) + + wrapper = SuperComponent( + pipeline=pipeline, + input_mapping={"query": ["retriever.query"]}, + output_mapping={"retriever.documents": "documents"} + ) + + # Test serialization + serialized = wrapper.to_dict() + assert "type" in serialized + assert "init_parameters" in serialized + assert "pipeline" in serialized["init_parameters"] + + # Test deserialization + deserialized = SuperComponent.from_dict(serialized) + assert isinstance(deserialized, SuperComponent) + assert deserialized.input_mapping == wrapper.input_mapping + assert deserialized.output_mapping == wrapper.output_mapping + + result = deserialized.run(query="What is the capital of France?") + assert "documents" in result + assert result["documents"][0].content == "Paris is the capital of France." From 7b3009f2aa5c3adbf802696d4729f6fb8310b171 Mon Sep 17 00:00:00 2001 From: mathislucka Date: Fri, 31 Jan 2025 10:17:57 +0100 Subject: [PATCH 06/37] add type utils tests --- test/core/super_component/test_utils.py | 98 +++++++++++++++++++++++++ 1 file changed, 98 insertions(+) create mode 100644 test/core/super_component/test_utils.py diff --git a/test/core/super_component/test_utils.py b/test/core/super_component/test_utils.py new file mode 100644 index 00000000..8450a13d --- /dev/null +++ b/test/core/super_component/test_utils.py @@ -0,0 +1,98 @@ +from typing import Any, List, Optional, Union + +from haystack.core.component.types import GreedyVariadic, Variadic + +from haystack_experimental.core.super_component.utils import is_compatible + + +class TestTypeCompatibility: + """ + Test suite for type compatibility checking functionality. + """ + + def test_basic_types(self): + """Test compatibility of basic Python types.""" + assert is_compatible(str, str) + assert is_compatible(int, int) + assert not is_compatible(str, int) + assert not is_compatible(float, int) + + def test_any_type(self): + """Test Any type compatibility.""" + assert is_compatible(int, Any) + assert is_compatible(Any, int) + assert is_compatible(Any, Any) + assert is_compatible(Any, str) + assert is_compatible(str, Any) + + def test_union_types(self): + """Test Union type compatibility.""" + assert is_compatible(int, Union[int, str]) + assert is_compatible(Union[int, str], int) + assert is_compatible(Union[int, str], Union[str, int]) + assert is_compatible(str, Union[int, str]) + assert not is_compatible(bool, Union[int, str]) + assert not is_compatible(float, Union[int, str]) + + def test_variadic_type_compatibility(self): + """Test compatibility with Variadic and GreedyVariadic types.""" + # Basic type compatibility + variadic_int = Variadic[int] + greedy_int = GreedyVariadic[int] + + assert is_compatible(variadic_int, int) + assert is_compatible(int, variadic_int) + assert is_compatible(greedy_int, int) + assert is_compatible(int, greedy_int) + + # List type compatibility + variadic_list = Variadic[List[int]] + greedy_list = GreedyVariadic[List[int]] + + assert is_compatible(variadic_list, List[int]) + assert is_compatible(List[int], variadic_list) + assert is_compatible(greedy_list, List[int]) + assert is_compatible(List[int], greedy_list) + + def test_nested_type_unwrapping(self): + """Test nested type unwrapping behavior with unwrap_nested parameter.""" + # Test with unwrap_nested=True (default) + nested_optional = Variadic[List[Optional[int]]] + assert is_compatible(nested_optional, List[int]) + assert is_compatible(List[int], nested_optional) + + nested_union = Variadic[List[Union[int, None]]] + assert is_compatible(nested_union, List[int]) + assert is_compatible(List[int], nested_union) + + + def test_complex_nested_types(self): + """Test complex nested type scenarios.""" + # Multiple levels of nesting + complex_type = Variadic[List[List[Variadic[int]]]] + target_type = List[List[int]] + + # With unwrap_nested=True + assert is_compatible(complex_type, target_type) + assert is_compatible(target_type, complex_type) + + # With unwrap_nested=False + assert not is_compatible(complex_type, target_type, unwrap_nested=False) + assert not is_compatible(target_type, complex_type, unwrap_nested=False) + + + def test_mixed_variadic_types(self): + """Test mixing Variadic and GreedyVariadic with other type constructs.""" + # Variadic with Union + var_union = Variadic[Union[int, str]] + assert is_compatible(var_union, Union[int, str]) + assert is_compatible(Union[int, str], var_union) + + # GreedyVariadic with Optional + greedy_opt = GreedyVariadic[Optional[int]] + assert is_compatible(greedy_opt, int) + assert is_compatible(int, greedy_opt) + + # Nested Variadic and GreedyVariadic + nested_var = Variadic[List[GreedyVariadic[int]]] + assert is_compatible(nested_var, List[int]) From 5aebc78092b263eebda84c19c6de8428babaebd6 Mon Sep 17 00:00:00 2001 From: mathislucka Date: Fri, 31 Jan 2025 10:18:05 +0100 Subject: [PATCH 07/37] format --- haystack_experimental/__init__.py | 2 +- haystack_experimental/core/super_component/__init__.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/haystack_experimental/__init__.py b/haystack_experimental/__init__.py index 48a8c91c..11223b7f 100644 --- a/haystack_experimental/__init__.py +++ b/haystack_experimental/__init__.py @@ -2,4 +2,4 @@ # # SPDX-License-Identifier: Apache-2.0 -from .core import AsyncPipeline, Pipeline, SuperComponentBase, SuperComponent \ No newline at end of file +from .core import AsyncPipeline, Pipeline, SuperComponent, SuperComponentBase diff --git a/haystack_experimental/core/super_component/__init__.py b/haystack_experimental/core/super_component/__init__.py index 8c19895e..3bdbfee4 100644 --- a/haystack_experimental/core/super_component/__init__.py +++ b/haystack_experimental/core/super_component/__init__.py @@ -5,4 +5,4 @@ from .base import SuperComponentBase from .super_component import SuperComponent -_all_ = ["SuperComponent", "SuperComponentBase"] \ No newline at end of file +_all_ = ["SuperComponent", "SuperComponentBase"] From 144cde8c971ffad6116def699b71db3e17a84d07 Mon Sep 17 00:00:00 2001 From: mathislucka Date: Fri, 31 Jan 2025 10:23:05 +0100 Subject: [PATCH 08/37] add init --- .../super_components/converters/__init__.py | 7 +++++++ 1 file changed, 7 insertions(+) create mode 100644 haystack_experimental/super_components/converters/__init__.py diff --git a/haystack_experimental/super_components/converters/__init__.py b/haystack_experimental/super_components/converters/__init__.py new file mode 100644 index 00000000..3a4100bf --- /dev/null +++ b/haystack_experimental/super_components/converters/__init__.py @@ -0,0 +1,7 @@ +# SPDX-FileCopyrightText: 2022-present deepset GmbH +# +# SPDX-License-Identifier: Apache-2.0 + +from haystack_experimental.super_components.converters.file_converter import AutoFileConverter + +_all_ = ["AutoFileConverter"] \ No newline at end of file From d08a37a379b076d0c015ca7a8e03d4c3e486b270 Mon Sep 17 00:00:00 2001 From: mathislucka Date: Fri, 31 Jan 2025 10:23:44 +0100 Subject: [PATCH 09/37] add file converter --- .../converters/file_converter.py | 219 ++++++++++++++++++ 1 file changed, 219 insertions(+) create mode 100644 haystack_experimental/super_components/converters/file_converter.py diff --git a/haystack_experimental/super_components/converters/file_converter.py b/haystack_experimental/super_components/converters/file_converter.py new file mode 100644 index 00000000..402402d4 --- /dev/null +++ b/haystack_experimental/super_components/converters/file_converter.py @@ -0,0 +1,219 @@ +# SPDX-FileCopyrightText: 2022-present deepset GmbH +# +# SPDX-License-Identifier: Apache-2.0 + +from enum import Enum +from typing import Any, Callable, Dict, List, Literal, Optional + +from haystack import Pipeline, component, default_from_dict, default_to_dict +from haystack.components.converters import ( + CSVToDocument, + DOCXToDocument, + HTMLToDocument, + JSONConverter, + MarkdownToDocument, + PPTXToDocument, + PyPDFToDocument, + TextFileToDocument, + XLSXToDocument, +) +from haystack.components.joiners import DocumentJoiner +from haystack.components.preprocessors.document_splitter import DocumentSplitter, Language +from haystack.components.routers import FileTypeRouter +from haystack.utils import deserialize_callable, serialize_callable + +from haystack_experimental.core.super_component import SuperComponentBase + + +class ConverterMimeType(str, Enum): + CSV = "text/csv" + DOCX = "application/vnd.openxmlformats-officedocument.wordprocessingml.document" + HTML = "text/html" + JSON = "application/json" + MD = "text/markdown" + TEXT = "text/plain" + PDF = "application/pdf" + PPTX = "application/vnd.openxmlformats-officedocument.presentationml.presentation" + XLSX = "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" + + +@component +class AutoFileConverter(SuperComponentBase): + """ + A file converter that handles multiple file types and their pre-processing. + + The AutoFileConverter handles the following file types: + - CSV + - DOCX + - HTML + - JSON + - MD + - TEXT + - PDF (no OCR) + - PPTX + - XLSX + + It splits all non-tabular data into Documents as specified by the splitting parameters. + Tabular data (CSV & XLSX) is returned without splitting. + + Usage: + ``` + converter = AutoFileConverter() + converter.run(sources=["test.txt", "test.pdf"], meta={}) + ``` + """ + + def __init__( # noqa: PLR0915 + self, + split_by: Literal["function", "page", "passage", "period", "word", "line", "sentence"] = "word", + split_length: int = 250, + split_overlap: int = 30, + split_threshold: int = 0, + splitting_function: Optional[Callable[[str], List[str]]] = None, + respect_sentence_boundary: bool = True, + language: Language = "en", + use_split_rules: bool = True, + extend_abbreviations: bool = True, + encoding: str = "utf-8", + json_content_key: str = "content", + ) -> None: + self.split_by = split_by + self.split_length = split_length + self.split_overlap = split_overlap + self.split_threshold = split_threshold + self.splitting_function = splitting_function + self.respect_sentence_boundary = respect_sentence_boundary + self.language = language + self.use_split_rules = use_split_rules + self.extend_abbreviations = extend_abbreviations + self.encoding = encoding + self.json_content_key = json_content_key + + # initialize components + router = FileTypeRouter( + mime_types=[ + ConverterMimeType.CSV.value, + ConverterMimeType.DOCX.value, + ConverterMimeType.HTML.value, + ConverterMimeType.JSON.value, + ConverterMimeType.MD.value, + ConverterMimeType.TEXT.value, + ConverterMimeType.PDF.value, + ConverterMimeType.PPTX.value, + ConverterMimeType.XLSX.value, + ] + ) + + csv = CSVToDocument(encoding=self.encoding) + docx = DOCXToDocument() + html = HTMLToDocument() + json = JSONConverter(content_key=self.json_content_key) + md = MarkdownToDocument() + txt = TextFileToDocument(encoding=self.encoding) + pdf = PyPDFToDocument() + pptx = PPTXToDocument() + xlsx = XLSXToDocument() + + joiner = DocumentJoiner() + tabular_joiner = DocumentJoiner() + + splitter = DocumentSplitter( + split_by=self.split_by, + split_length=self.split_length, + split_overlap=self.split_overlap, + split_threshold=self.split_threshold, + splitting_function=self.splitting_function, + respect_sentence_boundary=self.respect_sentence_boundary, + language=self.language, + use_split_rules=self.use_split_rules, + extend_abbreviations=self.extend_abbreviations, + ) + + # Create pipeline and add components + pp = Pipeline() + + pp.add_component("router", router) + + pp.add_component("docx", docx) + pp.add_component("html", html) + pp.add_component("json", json) + pp.add_component("md", md) + pp.add_component("txt", txt) + pp.add_component("pdf", pdf) + pp.add_component("pptx", pptx) + pp.add_component("xlsx", xlsx) + pp.add_component("joiner", joiner) + pp.add_component("splitter", splitter) + pp.add_component("tabular_joiner", tabular_joiner) + pp.add_component("csv", csv) + + + pp.connect(f"router.{ConverterMimeType.DOCX.value}", "docx") + pp.connect(f"router.{ConverterMimeType.HTML.value}", "html") + pp.connect(f"router.{ConverterMimeType.JSON.value}", "json") + pp.connect(f"router.{ConverterMimeType.MD.value}", "md") + pp.connect(f"router.{ConverterMimeType.TEXT.value}", "txt") + pp.connect(f"router.{ConverterMimeType.PDF.value}", "pdf") + pp.connect(f"router.{ConverterMimeType.PPTX.value}", "pptx") + pp.connect(f"router.{ConverterMimeType.XLSX.value}", "xlsx") + + pp.connect("joiner.documents", "splitter.documents") + pp.connect("splitter.documents", "tabular_joiner.documents") + pp.connect("docx.documents", "joiner.documents") + pp.connect("html.documents", "joiner.documents") + pp.connect("json.documents", "joiner.documents") + pp.connect("md.documents", "joiner.documents") + pp.connect("txt.documents", "joiner.documents") + pp.connect("pdf.documents", "joiner.documents") + pp.connect("pptx.documents", "joiner.documents") + + pp.connect("csv.documents", "tabular_joiner.documents") + pp.connect("xlsx.documents", "tabular_joiner.documents") + pp.connect(f"router.{ConverterMimeType.CSV.value}", "csv") + + + output_mapping = {"tabular_joiner.documents": "documents"} + input_mapping = { + "sources": ["router.sources"], + "meta": ["router.meta"] + } + + super(AutoFileConverter, self).__init__( + pipeline=pp, + output_mapping=output_mapping, + input_mapping=input_mapping + ) + + def to_dict(self) -> Dict[str, Any]: + """ + Serialize this instance to a dictionary. + """ + if self.splitting_function is not None: + splitting_function = serialize_callable(self.splitting_function) + else: + splitting_function = self.splitting_function + + return default_to_dict( + self, + split_by=self.split_by, + split_length=self.split_length, + split_overlap=self.split_overlap, + split_threshold=self.split_threshold, + splitting_function=splitting_function, + respect_sentence_boundary=self.respect_sentence_boundary, + language=self.language, + use_split_rules=self.use_split_rules, + extend_abbreviations=self.extend_abbreviations, + encoding=self.encoding, + json_content_key=self.json_content_key, + ) + + @classmethod + def from_dict(cls, data: Dict[str, Any]) -> "AutoFileConverter": + """ + Load this instance from a dictionary. + """ + if splitting_function := data["init_parameters"].get("splitting_function"): + data["init_parameters"]["splitting_function"] = deserialize_callable(splitting_function) + + return default_from_dict(cls, data) From 0ad8b9650494adad00693278088799c841b1ef47 Mon Sep 17 00:00:00 2001 From: mathislucka Date: Fri, 31 Jan 2025 10:38:43 +0100 Subject: [PATCH 10/37] add example notebook --- examples/super_components.ipynb | 499 ++++++++++++++++++++++++++++++++ 1 file changed, 499 insertions(+) create mode 100644 examples/super_components.ipynb diff --git a/examples/super_components.ipynb b/examples/super_components.ipynb new file mode 100644 index 00000000..28d49080 --- /dev/null +++ b/examples/super_components.ipynb @@ -0,0 +1,499 @@ +{ + "cells": [ + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2025-01-24T11:05:59.594292Z", + "start_time": "2025-01-24T11:05:58.769938Z" + } + }, + "source": [ + "!pip install python-docx trafilatura markdown-it-py mdit_plain pypdf python-pptx openpyxl nltk" + ], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: python-docx in /Users/mathislucka/Library/Application Support/hatch/env/virtual/haystack-experimental/0WxCzKa9/haystack-experimental/lib/python3.13/site-packages (1.1.2)\r\n", + "Requirement already satisfied: trafilatura in /Users/mathislucka/Library/Application Support/hatch/env/virtual/haystack-experimental/0WxCzKa9/haystack-experimental/lib/python3.13/site-packages (2.0.0)\r\n", + "Requirement already satisfied: markdown-it-py in /Users/mathislucka/Library/Application Support/hatch/env/virtual/haystack-experimental/0WxCzKa9/haystack-experimental/lib/python3.13/site-packages (3.0.0)\r\n", + "Requirement already satisfied: mdit_plain in /Users/mathislucka/Library/Application Support/hatch/env/virtual/haystack-experimental/0WxCzKa9/haystack-experimental/lib/python3.13/site-packages (1.0.1)\r\n", + "Requirement already satisfied: pypdf in /Users/mathislucka/Library/Application Support/hatch/env/virtual/haystack-experimental/0WxCzKa9/haystack-experimental/lib/python3.13/site-packages (5.1.0)\r\n", + "Requirement already satisfied: python-pptx in /Users/mathislucka/Library/Application Support/hatch/env/virtual/haystack-experimental/0WxCzKa9/haystack-experimental/lib/python3.13/site-packages (1.0.2)\r\n", + "Requirement already satisfied: openpyxl in /Users/mathislucka/Library/Application Support/hatch/env/virtual/haystack-experimental/0WxCzKa9/haystack-experimental/lib/python3.13/site-packages (3.1.5)\r\n", + "Requirement already satisfied: nltk in /Users/mathislucka/Library/Application Support/hatch/env/virtual/haystack-experimental/0WxCzKa9/haystack-experimental/lib/python3.13/site-packages (3.9.1)\r\n", + "Requirement already satisfied: lxml>=3.1.0 in /Users/mathislucka/Library/Application Support/hatch/env/virtual/haystack-experimental/0WxCzKa9/haystack-experimental/lib/python3.13/site-packages (from python-docx) (5.3.0)\r\n", + "Requirement already satisfied: typing-extensions>=4.9.0 in /Users/mathislucka/Library/Application Support/hatch/env/virtual/haystack-experimental/0WxCzKa9/haystack-experimental/lib/python3.13/site-packages (from python-docx) (4.12.2)\r\n", + "Requirement already satisfied: certifi in /Users/mathislucka/Library/Application 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"Requirement already satisfied: python-dateutil>=2.9.0.post0 in /Users/mathislucka/Library/Application Support/hatch/env/virtual/haystack-experimental/0WxCzKa9/haystack-experimental/lib/python3.13/site-packages (from htmldate>=1.9.2->trafilatura) (2.9.0.post0)\r\n", + "Requirement already satisfied: pytz in /Users/mathislucka/Library/Application Support/hatch/env/virtual/haystack-experimental/0WxCzKa9/haystack-experimental/lib/python3.13/site-packages (from dateparser>=1.1.2->htmldate>=1.9.2->trafilatura) (2024.2)\r\n", + "Requirement already satisfied: tzlocal in /Users/mathislucka/Library/Application Support/hatch/env/virtual/haystack-experimental/0WxCzKa9/haystack-experimental/lib/python3.13/site-packages (from dateparser>=1.1.2->htmldate>=1.9.2->trafilatura) (5.2)\r\n", + "Requirement already satisfied: lxml-html-clean in /Users/mathislucka/Library/Application Support/hatch/env/virtual/haystack-experimental/0WxCzKa9/haystack-experimental/lib/python3.13/site-packages (from lxml[html_clean]>=4.4.2->justext>=3.0.1->trafilatura) (0.4.1)\r\n", + "Requirement already satisfied: six>=1.5 in /Users/mathislucka/Library/Application Support/hatch/env/virtual/haystack-experimental/0WxCzKa9/haystack-experimental/lib/python3.13/site-packages (from python-dateutil>=2.9.0.post0->htmldate>=1.9.2->trafilatura) (1.17.0)\r\n" + ] + } + ], + "execution_count": 1 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# SuperComponents\n", + "\n", + "Supercomponents in general behave like any other component. They have init params, optional from_dict() and to_dict() methods as usual. The init params typically determine how the internal pipeline is constructed (e.g. which components are used)." + ] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2025-01-24T11:06:01.583421Z", + "start_time": "2025-01-24T11:06:00.622949Z" + } + }, + "source": "from haystack_experimental.super_components.converters import AutoFileConverter", + "outputs": [], + "execution_count": 2 + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": "The AutoFileConverter converts multiple file types and splits them into smaller chunks." + }, + { + "cell_type": "code", + "metadata": {}, + "source": [ + "file_converter = AutoFileConverter(\n", + " split_by=\"sentence\",\n", + " split_overlap=0,\n", + " split_length=1,\n", + " respect_sentence_boundary=False\n", + ")" + ], + "outputs": [], + "execution_count": null + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": "It handles CSV, DOCX, HTML, JSON, Markdown, TXT, PDF, PPTX, and XLSX." + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2025-01-24T11:08:53.994895Z", + "start_time": "2025-01-24T11:08:53.639576Z" + } + }, + "cell_type": "code", + "source": [ + "example_files = [\n", + " \"example_files/react_paper.pdf\",\n", + " \"example_files/sample_docx.docx\",\n", + " \"example_files/sample_pptx.pptx\",\n", + " \"example_files/sample.md\",\n", + " \"example_files/sample_1.csv\",\n", + "]\n", + "\n", + "result = file_converter.run(sources=example_files)\n", + "\n", + "previous_name = None\n", + "for document in result[\"documents\"]:\n", + " if document.meta[\"file_path\"] != previous_name:\n", + " doc = f\"\"\"\n", + "First lines from {document.meta[\"file_path\"]}:\n", + "{document.content}\n", + "-----------\n", + "\"\"\" \n", + " print(doc)\n", + " previous_name = document.meta[\"file_path\"]" + ], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Converting markdown files to Documents: 100%|██████████| 1/1 [00:00<00:00, 324.49it/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "First lines from sample_1.csv:\n", + "Name,Age\r\n", + "John Doe,27\r\n", + "Jane Smith,37\r\n", + "Mike Johnson,47\r\n", + "\n", + "-----------\n", + "\n", + "\n", + "First lines from sample_docx.docx:\n", + "Sample Docx File\n", + "\n", + "The US has \"passed the peak\" on new coronavirus cases, President Donald Trump said and predicted that some states would reopen this month.\n", + "\n", + "-----------\n", + "\n", + "\n", + "First lines from sample.md:\n", + "type: intro\n", + "date: 1.1.2023\n", + "\n", + "pip install farm-haystack\n", + "\n", + "\n", + "What to build with Haystack\n", + "\n", + "Ask questions in natural language and find granular answers in your own documents.\n", + "\n", + "-----------\n", + "\n", + "\n", + "First lines from react_paper.pdf:\n", + "REAC T: S YNERGIZING REASONING AND ACTING IN\n", + "LANGUAGE MODELS\n", + "Shunyu Yao∗*,1, Jeffrey Zhao2, Dian Yu2, Nan Du2, Izhak Shafran2, Karthik Narasimhan1, Yuan Cao2\n", + "1Department of Computer Science, Princeton University\n", + "2Google Research, Brain team\n", + "1{shunyuy,karthikn}@princeton.edu\n", + "2{jeffreyzhao,dianyu,dunan,izhak,yuancao}@google.com\n", + "ABSTRACT\n", + "While large language models (LLMs) have demonstrated impressive performance\n", + "across tasks in language understanding and interactive decision making, their\n", + "abilities for reasoning (e.g. \n", + "-----------\n", + "\n", + "\n", + "First lines from sample_pptx.pptx:\n", + "Sample Title Slide\n", + "Jane Doe\fTitle of First Slide\n", + "This is a bullet point\n", + "This is another bullet point\n", + "-----------\n", + "\n" + ] + } + ], + "execution_count": 8 + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2025-01-24T09:39:18.254165Z", + "start_time": "2025-01-24T09:39:18.248837Z" + } + }, + "source": [ + "# We can serialize it to a dict like any other Haystack component.\n", + "file_converter.to_dict()" + ], + "outputs": [ + { + "data": { + "text/plain": [ + "{'type': 'haystack_experimental.super_components.converters.file_converter.AutoFileConverter',\n", + " 'init_parameters': {'split_by': 'word',\n", + " 'split_length': 250,\n", + " 'split_overlap': 30,\n", + " 'split_threshold': 0,\n", + " 'splitting_function': None,\n", + " 'respect_sentence_boundary': True,\n", + " 'language': 'en',\n", + " 'use_split_rules': True,\n", + " 'extend_abbreviations': True,\n", + " 'encoding': 'utf-8',\n", + " 'json_content_key': 'content'}}" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "execution_count": 4 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Expanding SuperComponents\n", + "What makes SuperComponents special is the ability to expand it by calling their `to_super_component_dict()` method. This converts the component to a generic `SuperComponent` that contains the pipeline constructed by the SuperComponent. From there on the pipeline can be changed in any way." + ] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2025-01-24T09:40:13.086160Z", + "start_time": "2025-01-24T09:40:13.076415Z" + } + }, + "source": "file_converter.to_super_component_dict()", + "outputs": [ + { + "data": { + "text/plain": [ + "{'type': 'haystack_experimental.core.super_component.super_component.SuperComponent',\n", + " 'init_parameters': {'pipeline': {'metadata': {},\n", + " 'max_runs_per_component': 100,\n", + " 'components': {'router': {'type': 'haystack.components.routers.file_type_router.FileTypeRouter',\n", + " 'init_parameters': {'mime_types': [,\n", + " ,\n", + " ,\n", + " ,\n", + " ,\n", + " ,\n", + " ,\n", + " ,\n", + " ],\n", + " 'additional_mimetypes': None}},\n", + " 'csv': {'type': 'haystack.components.converters.csv.CSVToDocument',\n", + " 'init_parameters': {'encoding': 'utf-8', 'store_full_path': False}},\n", + " 'docx': {'type': 'haystack.components.converters.docx.DOCXToDocument',\n", + " 'init_parameters': {'table_format': 'csv', 'store_full_path': False}},\n", + " 'html': {'type': 'haystack.components.converters.html.HTMLToDocument',\n", + " 'init_parameters': {'extraction_kwargs': {}, 'store_full_path': False}},\n", + " 'json': {'type': 'haystack.components.converters.json.JSONConverter',\n", + " 'init_parameters': {'jq_schema': None,\n", + " 'content_key': 'content',\n", + " 'extra_meta_fields': None,\n", + " 'store_full_path': False}},\n", + " 'md': {'type': 'haystack.components.converters.markdown.MarkdownToDocument',\n", + " 'init_parameters': {'table_to_single_line': False,\n", + " 'progress_bar': True,\n", + " 'store_full_path': False}},\n", + " 'txt': {'type': 'haystack.components.converters.txt.TextFileToDocument',\n", + " 'init_parameters': {'encoding': 'utf-8', 'store_full_path': False}},\n", + " 'pdf': {'type': 'haystack.components.converters.pypdf.PyPDFToDocument',\n", + " 'init_parameters': {'extraction_mode': 'plain',\n", + " 'plain_mode_orientations': (0, 90, 180, 270),\n", + " 'plain_mode_space_width': 200.0,\n", + " 'layout_mode_space_vertically': True,\n", + " 'layout_mode_scale_weight': 1.25,\n", + " 'layout_mode_strip_rotated': True,\n", + " 'layout_mode_font_height_weight': 1.0,\n", + " 'store_full_path': False}},\n", + " 'pptx': {'type': 'haystack.components.converters.pptx.PPTXToDocument',\n", + " 'init_parameters': {'store_full_path': False}},\n", + " 'xlsx': {'type': 'haystack.components.converters.xlsx.XLSXToDocument',\n", + " 'init_parameters': {'table_format': 'csv',\n", + " 'sheet_name': None,\n", + " 'read_excel_kwargs': {},\n", + " 'table_format_kwargs': {}}},\n", + " 'joiner': {'type': 'haystack.components.joiners.document_joiner.DocumentJoiner',\n", + " 'init_parameters': {'join_mode': 'concatenate',\n", + " 'weights': None,\n", + " 'top_k': None,\n", + " 'sort_by_score': True}},\n", + " 'tabular_joiner': {'type': 'haystack.components.joiners.document_joiner.DocumentJoiner',\n", + " 'init_parameters': {'join_mode': 'concatenate',\n", + " 'weights': None,\n", + " 'top_k': None,\n", + " 'sort_by_score': True}},\n", + " 'splitter': {'type': 'haystack.components.preprocessors.document_splitter.DocumentSplitter',\n", + " 'init_parameters': {'split_by': 'word',\n", + " 'split_length': 250,\n", + " 'split_overlap': 30,\n", + " 'split_threshold': 0,\n", + " 'respect_sentence_boundary': True,\n", + " 'language': 'en',\n", + " 'use_split_rules': True,\n", + " 'extend_abbreviations': True}}},\n", + " 'connections': [{'sender': 'router.text/csv', 'receiver': 'csv.sources'},\n", + " {'sender': 'router.application/vnd.openxmlformats-officedocument.wordprocessingml.document',\n", + " 'receiver': 'docx.sources'},\n", + " {'sender': 'router.text/html', 'receiver': 'html.sources'},\n", + " {'sender': 'router.application/json', 'receiver': 'json.sources'},\n", + " {'sender': 'router.text/markdown', 'receiver': 'md.sources'},\n", + " {'sender': 'router.text/plain', 'receiver': 'txt.sources'},\n", + " {'sender': 'router.application/pdf', 'receiver': 'pdf.sources'},\n", + " {'sender': 'router.application/vnd.openxmlformats-officedocument.presentationml.presentation',\n", + " 'receiver': 'pptx.sources'},\n", + " {'sender': 'router.application/vnd.openxmlformats-officedocument.spreadsheetml.sheet',\n", + " 'receiver': 'xlsx.sources'},\n", + " {'sender': 'csv.documents', 'receiver': 'tabular_joiner.documents'},\n", + " {'sender': 'docx.documents', 'receiver': 'joiner.documents'},\n", + " {'sender': 'html.documents', 'receiver': 'joiner.documents'},\n", + " {'sender': 'json.documents', 'receiver': 'joiner.documents'},\n", + " {'sender': 'md.documents', 'receiver': 'joiner.documents'},\n", + " {'sender': 'txt.documents', 'receiver': 'joiner.documents'},\n", + " {'sender': 'pdf.documents', 'receiver': 'joiner.documents'},\n", + " {'sender': 'pptx.documents', 'receiver': 'joiner.documents'},\n", + " {'sender': 'xlsx.documents', 'receiver': 'tabular_joiner.documents'},\n", + " {'sender': 'joiner.documents', 'receiver': 'splitter.documents'},\n", + " {'sender': 'splitter.documents', 'receiver': 'tabular_joiner.documents'}]},\n", + " 'input_mapping': {'sources': ['router.sources'], 'meta': ['router.meta']},\n", + " 'output_mapping': {'tabular_joiner.documents': 'documents'}}}" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "execution_count": 5 + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2025-01-24T11:10:26.987346Z", + "start_time": "2025-01-24T11:10:26.980095Z" + } + }, + "source": [ + "from haystack_experimental.core.super_component import SuperComponent\n", + "\n", + "super_file_converter = SuperComponent.from_dict(file_converter.to_super_component_dict())" + ], + "outputs": [], + "execution_count": 10 + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2025-01-24T11:10:28.364136Z", + "start_time": "2025-01-24T11:10:28.006528Z" + } + }, + "source": [ + "result = super_file_converter.run(sources=example_files)\n", + "\n", + "previous_name = None\n", + "for document in result[\"documents\"]:\n", + " if document.meta[\"file_path\"] != previous_name:\n", + " doc = f\"\"\"\n", + "First lines from {document.meta[\"file_path\"]}:\n", + "{document.content}\n", + "-----------\n", + "\"\"\" \n", + " print(doc)\n", + " previous_name = document.meta[\"file_path\"]" + ], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "No abbreviations file found for en. Using default abbreviations.\n", + "Converting markdown files to Documents: 100%|██████████| 1/1 [00:00<00:00, 380.50it/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "First lines from sample_1.csv:\n", + "Name,Age\r\n", + "John Doe,27\r\n", + "Jane Smith,37\r\n", + "Mike Johnson,47\r\n", + "\n", + "-----------\n", + "\n", + "\n", + "First lines from sample_docx.docx:\n", + "Sample Docx File\n", + "\n", + "The US has \"passed the peak\" on new coronavirus cases, President Donald Trump said and predicted that some states would reopen this month.\n", + "\n", + "-----------\n", + "\n", + "\n", + "First lines from sample.md:\n", + "type: intro\n", + "date: 1.1.2023\n", + "\n", + "pip install farm-haystack\n", + "\n", + "\n", + "What to build with Haystack\n", + "\n", + "Ask questions in natural language and find granular answers in your own documents.\n", + "\n", + "-----------\n", + "\n", + "\n", + "First lines from react_paper.pdf:\n", + "REAC T: S YNERGIZING REASONING AND ACTING IN\n", + "LANGUAGE MODELS\n", + "Shunyu Yao∗*,1, Jeffrey Zhao2, Dian Yu2, Nan Du2, Izhak Shafran2, Karthik Narasimhan1, Yuan Cao2\n", + "1Department of Computer Science, Princeton University\n", + "2Google Research, Brain team\n", + "1{shunyuy,karthikn}@princeton.edu\n", + "2{jeffreyzhao,dianyu,dunan,izhak,yuancao}@google.com\n", + "ABSTRACT\n", + "While large language models (LLMs) have demonstrated impressive performance\n", + "across tasks in language understanding and interactive decision making, their\n", + "abilities for reasoning (e.g. \n", + "-----------\n", + "\n", + "\n", + "First lines from sample_pptx.pptx:\n", + "Sample Title Slide\n", + "Jane Doe\fTitle of First Slide\n", + "This is a bullet point\n", + "This is another bullet point\n", + "-----------\n", + "\n" + ] + } + ], + "execution_count": 11 + }, + { + "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, + "source": "" + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} From 402e91b7d99a14b70e0fb39228a1fbb1271beedf Mon Sep 17 00:00:00 2001 From: Abraham Yusuf Date: Mon, 27 Jan 2025 14:19:10 +0100 Subject: [PATCH 11/37] feat: implement `DocumentIndexer` super component --- .../super_components/indexers/__init__.py | 5 + .../indexers/document_indexer.py | 128 ++++++++++++++++++ 2 files changed, 133 insertions(+) create mode 100644 haystack_experimental/super_components/indexers/__init__.py create mode 100644 haystack_experimental/super_components/indexers/document_indexer.py diff --git a/haystack_experimental/super_components/indexers/__init__.py b/haystack_experimental/super_components/indexers/__init__.py new file mode 100644 index 00000000..6c73ae81 --- /dev/null +++ b/haystack_experimental/super_components/indexers/__init__.py @@ -0,0 +1,5 @@ +from haystack_experimental.super_components.indexers.document_indexer import DocumentIndexer + +__all__ = [ + "DocumentIndexer", +] diff --git a/haystack_experimental/super_components/indexers/document_indexer.py b/haystack_experimental/super_components/indexers/document_indexer.py new file mode 100644 index 00000000..373fba0d --- /dev/null +++ b/haystack_experimental/super_components/indexers/document_indexer.py @@ -0,0 +1,128 @@ +from typing import Any, Dict + +from haystack import Pipeline, component, default_from_dict, default_to_dict +from haystack.components.embedders import ( + AzureOpenAIDocumentEmbedder, + HuggingFaceAPIDocumentEmbedder, + OpenAIDocumentEmbedder, + SentenceTransformersDocumentEmbedder, +) +from haystack.components.writers import DocumentWriter +from haystack.core.component import Component +from haystack.core.serialization import ( + DeserializationError, + component_from_dict, + component_to_dict, + import_class_by_name, +) +from haystack.document_stores.types import DocumentStore, DuplicatePolicy + +from haystack_experimental.core.super_component import SuperComponentBase + +KNOWN_DOCUMENT_EMBEDDERS = ( + HuggingFaceAPIDocumentEmbedder, + SentenceTransformersDocumentEmbedder, + OpenAIDocumentEmbedder, + AzureOpenAIDocumentEmbedder, +) + + +class InvalidEmbedderError(ValueError): + """Raised when a DocumentIndexer receives an invalid embedder parameter.""" + + +@component +class DocumentIndexer(SuperComponentBase): + """ + A document indexer that takes a list of documents and indexes them using the specified embedder. + + Usage: + ```python + from haystack import Document + from haystack.components.embedders import SentenceTransformersDocumentEmbedder + from haystack.document_stores.in_memory import InMemoryDocumentStore + from haystack.document_stores.types import DuplicatePolicy + + doc = Document(content="I love pizza!") + + indexer = DocumentIndexer( + embedder=SentenceTransformersDocumentEmbedder(), + document_store=InMemoryDocumentStore(), + duplicate_policy=DuplicatePolicy.OVERWRITE, + ) + + indexer.warm_up() + + result = indexer.run(documents=[doc]) + print(result) + + # {'documents_written': 1} + ``` + """ + + def __init__( + self, + embedder: Component, + document_store: DocumentStore, + duplicate_policy: DuplicatePolicy = DuplicatePolicy.NONE, + ) -> None: + self.embedder = embedder + self.document_store = document_store + self.duplicate_policy = duplicate_policy + + if not isinstance(self.embedder, KNOWN_DOCUMENT_EMBEDDERS): + raise InvalidEmbedderError + + pipeline = Pipeline() + + pipeline.add_component("embedder", self.embedder) + pipeline.add_component( + "writer", + DocumentWriter( + document_store=self.document_store, + policy=self.duplicate_policy, + ), + ) + + pipeline.connect("embedder.documents", "writer.documents") + + super(DocumentIndexer, self).__init__( + pipeline=pipeline, + input_mapping={"documents": ["embedder.documents"]}, + output_mapping={"writer.documents_written": "documents_written"}, + ) + + def to_dict(self) -> Dict[str, Any]: + """ + Serialize this instance to a dictionary. + """ + return default_to_dict( + self, + embedder=component_to_dict(self.embedder, "embedder"), + document_store=component_to_dict(self.document_store, "document_store"), + duplicate_policy=self.duplicate_policy.value, + ) + + @classmethod + def from_dict(cls, data: Dict[str, Any]) -> "DocumentIndexer": + """ + Load an instance of this component from a dictionary. + """ + init_params = data.get("init_parameters", {}) + + # Deserialized nested components + for name in ["embedder", "document_store"]: + if (item := init_params.get(name)) and isinstance(item, dict): + if "type" not in item: + raise DeserializationError(f"Missing 'type' in serialization data for {name} parameter.") + + item_type = import_class_by_name(item["type"]) + init_params[name] = component_from_dict(item_type, item, name) + + # Deserialize policy + if policy_value := init_params.get("duplicate_policy"): + init_params["duplicate_policy"] = DuplicatePolicy(policy_value) + + data["init_parameters"] = init_params + + return default_from_dict(cls, data) From 647c4a21f30162f8bff5bed3afdb3cfe72a569ce Mon Sep 17 00:00:00 2001 From: Abraham Yusuf Date: Mon, 27 Jan 2025 14:36:12 +0100 Subject: [PATCH 12/37] chore: add license headers --- haystack_experimental/super_components/indexers/__init__.py | 4 ++++ .../super_components/indexers/document_indexer.py | 4 ++++ 2 files changed, 8 insertions(+) diff --git a/haystack_experimental/super_components/indexers/__init__.py b/haystack_experimental/super_components/indexers/__init__.py index 6c73ae81..c6a2c154 100644 --- a/haystack_experimental/super_components/indexers/__init__.py +++ b/haystack_experimental/super_components/indexers/__init__.py @@ -1,3 +1,7 @@ +# SPDX-FileCopyrightText: 2022-present deepset GmbH +# +# SPDX-License-Identifier: Apache-2.0 + from haystack_experimental.super_components.indexers.document_indexer import DocumentIndexer __all__ = [ diff --git a/haystack_experimental/super_components/indexers/document_indexer.py b/haystack_experimental/super_components/indexers/document_indexer.py index 373fba0d..b0e60708 100644 --- a/haystack_experimental/super_components/indexers/document_indexer.py +++ b/haystack_experimental/super_components/indexers/document_indexer.py @@ -1,3 +1,7 @@ +# SPDX-FileCopyrightText: 2022-present deepset GmbH +# +# SPDX-License-Identifier: Apache-2.0 + from typing import Any, Dict from haystack import Pipeline, component, default_from_dict, default_to_dict From 0da3c59524a3d2944b9fd12ff6782090f6d3b453 Mon Sep 17 00:00:00 2001 From: Amna Mubashar Date: Mon, 27 Jan 2025 14:44:35 +0100 Subject: [PATCH 13/37] fix: raise error on import of `AsyncPipeline` (#178) * raise error for async import * Remove all async pipeline tests (cherry picked from commit cbbf088f16f897a14ada6de5f10d9fff1ffd308c) --- haystack_experimental/core/__init__.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/haystack_experimental/core/__init__.py b/haystack_experimental/core/__init__.py index cc3d85c2..c3daf226 100644 --- a/haystack_experimental/core/__init__.py +++ b/haystack_experimental/core/__init__.py @@ -3,7 +3,7 @@ # SPDX-License-Identifier: Apache-2.0 from .pipeline import Pipeline -from .pipeline.async_pipeline import AsyncPipeline from .super_component import SuperComponent, SuperComponentBase +from .pipeline.async_pipeline import AsyncPipeline _all_ = ["Pipeline", "SuperComponent", "SuperComponentBase"] From 78e1fcdeb67428d6814dcd5c4089f26728e86274 Mon Sep 17 00:00:00 2001 From: Abraham Yusuf Date: Mon, 27 Jan 2025 18:14:31 +0100 Subject: [PATCH 14/37] test: add unit tests for `DocumentIndexer` --- .../indexers/document_indexer.py | 2 +- test/super_components/__init__.py | 3 + test/super_components/indexers/__init__.py | 3 + .../indexers/test_document_indexer.py | 130 ++++++++++++++++++ 4 files changed, 137 insertions(+), 1 deletion(-) create mode 100644 test/super_components/__init__.py create mode 100644 test/super_components/indexers/__init__.py create mode 100644 test/super_components/indexers/test_document_indexer.py diff --git a/haystack_experimental/super_components/indexers/document_indexer.py b/haystack_experimental/super_components/indexers/document_indexer.py index b0e60708..e6266707 100644 --- a/haystack_experimental/super_components/indexers/document_indexer.py +++ b/haystack_experimental/super_components/indexers/document_indexer.py @@ -68,7 +68,7 @@ def __init__( self, embedder: Component, document_store: DocumentStore, - duplicate_policy: DuplicatePolicy = DuplicatePolicy.NONE, + duplicate_policy: DuplicatePolicy = DuplicatePolicy.OVERWRITE, ) -> None: self.embedder = embedder self.document_store = document_store diff --git a/test/super_components/__init__.py b/test/super_components/__init__.py new file mode 100644 index 00000000..c1764a6e --- /dev/null +++ b/test/super_components/__init__.py @@ -0,0 +1,3 @@ +# SPDX-FileCopyrightText: 2022-present deepset GmbH +# +# SPDX-License-Identifier: Apache-2.0 diff --git a/test/super_components/indexers/__init__.py b/test/super_components/indexers/__init__.py new file mode 100644 index 00000000..c1764a6e --- /dev/null +++ b/test/super_components/indexers/__init__.py @@ -0,0 +1,3 @@ +# SPDX-FileCopyrightText: 2022-present deepset GmbH +# +# SPDX-License-Identifier: Apache-2.0 diff --git a/test/super_components/indexers/test_document_indexer.py b/test/super_components/indexers/test_document_indexer.py new file mode 100644 index 00000000..c2bd2187 --- /dev/null +++ b/test/super_components/indexers/test_document_indexer.py @@ -0,0 +1,130 @@ +# SPDX-FileCopyrightText: 2022-present deepset GmbH +# +# SPDX-License-Identifier: Apache-2.0 + +from unittest.mock import ANY, Mock +import pytest +from haystack_experimental.super_components.indexers import DocumentIndexer +from haystack.document_stores.in_memory import InMemoryDocumentStore +from haystack.components.embedders import SentenceTransformersDocumentEmbedder, SentenceTransformersTextEmbedder + +from haystack import Document +from haystack_experimental.super_components.indexers.document_indexer import InvalidEmbedderError + + +class TestDocumentIndexer: + @pytest.fixture + def document_store(self) -> InMemoryDocumentStore: + return InMemoryDocumentStore() + + @pytest.fixture + def indexer(self, document_store: InMemoryDocumentStore) -> DocumentIndexer: + return DocumentIndexer( + embedder=SentenceTransformersDocumentEmbedder(), + document_store=document_store, + ) + + @pytest.fixture + def embedding_backend(self, indexer: DocumentIndexer, monkeypatch: pytest.MonkeyPatch) -> Mock: + backend = Mock() + backend.embed.return_value = [ + [0.3, 0.4, 0.01, 0.7], + [0.1, 0.9, 0.87, 0.3], + ] + monkeypatch.setattr(indexer.embedder, "embedding_backend", backend) + return backend + + def test_init(self, indexer: DocumentIndexer) -> None: + assert indexer is not None + assert hasattr(indexer, "pipeline") + assert indexer.input_mapping == {"documents": ["embedder.documents"]} + assert indexer.output_mapping == {"writer.documents_written": "documents_written"} + + def test_init_with_unknown_embedder(self, document_store: InMemoryDocumentStore) -> None: + with pytest.raises(InvalidEmbedderError): + DocumentIndexer(embedder=SentenceTransformersTextEmbedder(), document_store=document_store) + + def test_from_dict(self) -> None: + indexer = DocumentIndexer.from_dict( + { + "init_parameters": { + "document_store": { + "init_parameters": {}, + "type": "haystack.document_stores.in_memory.document_store.InMemoryDocumentStore", + }, + "duplicate_policy": "overwrite", + "embedder": { + "init_parameters": {}, + "type": "haystack.components.embedders.sentence_transformers_document_embedder.SentenceTransformersDocumentEmbedder", + }, + }, + "type": "haystack_experimental.super_components.indexers.document_indexer.DocumentIndexer", + } + ) + assert isinstance(indexer, DocumentIndexer) + + def test_to_dict(self, indexer: DocumentIndexer) -> None: + expected = { + "init_parameters": { + "document_store": { + "init_parameters": { + "bm25_algorithm": "BM25L", + "bm25_parameters": {}, + "bm25_tokenization_regex": ANY, + "embedding_similarity_function": "dot_product", + "index": ANY, + }, + "type": "haystack.document_stores.in_memory.document_store.InMemoryDocumentStore", + }, + "duplicate_policy": "overwrite", + "embedder": { + "init_parameters": { + "batch_size": 32, + "config_kwargs": None, + "device": { + "device": "mps", + "type": "single", + }, + "embedding_separator": "\n", + "meta_fields_to_embed": [], + "model": "sentence-transformers/all-mpnet-base-v2", + "model_kwargs": None, + "normalize_embeddings": False, + "precision": "float32", + "prefix": "", + "progress_bar": True, + "suffix": "", + "token": { + "env_vars": [ + "HF_API_TOKEN", + "HF_TOKEN", + ], + "strict": False, + "type": "env_var", + }, + "tokenizer_kwargs": None, + "truncate_dim": None, + "trust_remote_code": False, + }, + "type": "haystack.components.embedders.sentence_transformers_document_embedder.SentenceTransformersDocumentEmbedder", + }, + }, + "type": "haystack_experimental.super_components.indexers.document_indexer.DocumentIndexer", + } + assert indexer.to_dict() == expected + + def test_warm_up(self, indexer: DocumentIndexer, embedding_backend: Mock) -> None: + indexer.warm_up() + embedding_backend.assert_called_once + + def test_run(self, indexer: DocumentIndexer, embedding_backend: Mock) -> None: + documents = [ + Document(content="Test document"), + Document(content="Another test document"), + ] + + indexer.warm_up() + result = indexer.run(documents=documents) + + embedding_backend.embed.assert_called_once + assert result == {"documents_written": len(documents)} From 56412be2bece9c95a89bee6dd6d057c18c143517 Mon Sep 17 00:00:00 2001 From: Abraham Yusuf Date: Thu, 30 Jan 2025 12:14:54 +0100 Subject: [PATCH 15/37] update indexer to take model names instead of component --- .../indexers/document_indexer.py | 122 ++++++++++-------- .../indexers/test_document_indexer.py | 97 ++++---------- 2 files changed, 95 insertions(+), 124 deletions(-) diff --git a/haystack_experimental/super_components/indexers/document_indexer.py b/haystack_experimental/super_components/indexers/document_indexer.py index e6266707..f788c0df 100644 --- a/haystack_experimental/super_components/indexers/document_indexer.py +++ b/haystack_experimental/super_components/indexers/document_indexer.py @@ -2,88 +2,94 @@ # # SPDX-License-Identifier: Apache-2.0 -from typing import Any, Dict +from typing import Any, Dict, List, Optional from haystack import Pipeline, component, default_from_dict, default_to_dict -from haystack.components.embedders import ( - AzureOpenAIDocumentEmbedder, - HuggingFaceAPIDocumentEmbedder, - OpenAIDocumentEmbedder, - SentenceTransformersDocumentEmbedder, -) +from haystack.components.embedders import SentenceTransformersDocumentEmbedder from haystack.components.writers import DocumentWriter -from haystack.core.component import Component from haystack.core.serialization import ( DeserializationError, component_from_dict, component_to_dict, import_class_by_name, ) +from haystack.document_stores.in_memory import InMemoryDocumentStore from haystack.document_stores.types import DocumentStore, DuplicatePolicy from haystack_experimental.core.super_component import SuperComponentBase -KNOWN_DOCUMENT_EMBEDDERS = ( - HuggingFaceAPIDocumentEmbedder, - SentenceTransformersDocumentEmbedder, - OpenAIDocumentEmbedder, - AzureOpenAIDocumentEmbedder, -) - - -class InvalidEmbedderError(ValueError): - """Raised when a DocumentIndexer receives an invalid embedder parameter.""" +DEFAULT_EMBEDDING_MODEL = "sentence-transformers/all-mpnet-base-v2" @component class DocumentIndexer(SuperComponentBase): """ - A document indexer that takes a list of documents and indexes them using the specified embedder. + A document indexer that takes a list of documents and indexes them using the specified model. Usage: - ```python - from haystack import Document - from haystack.components.embedders import SentenceTransformersDocumentEmbedder - from haystack.document_stores.in_memory import InMemoryDocumentStore - from haystack.document_stores.types import DuplicatePolicy - - doc = Document(content="I love pizza!") - - indexer = DocumentIndexer( - embedder=SentenceTransformersDocumentEmbedder(), - document_store=InMemoryDocumentStore(), - duplicate_policy=DuplicatePolicy.OVERWRITE, - ) - - indexer.warm_up() - - result = indexer.run(documents=[doc]) - print(result) - # {'documents_written': 1} + ```python + >>> from haystack import Document + >>> doc = Document(content="I love pizza!") + >>> indexer = DocumentIndexer() + >>> indexer.warm_up() + >>> result = indexer.run(documents=[doc]) + >>> print(result) + {'documents_written': 1} + >>> indexer.pipeline.get_component("writer").document_store.count_documents() + 1 ``` """ def __init__( self, - embedder: Component, - document_store: DocumentStore, + model: Optional[str] = None, + prefix: str = "", + suffix: str = "", + batch_size: int = 32, + embedding_separator: str = "\n", + meta_fields_to_embed: Optional[List[str]] = None, + document_store: Optional[DocumentStore] = None, duplicate_policy: DuplicatePolicy = DuplicatePolicy.OVERWRITE, ) -> None: - self.embedder = embedder + """ + Initialize the DocumentIndexer component. + + :param model: The embedding model to use. + :param prefix: The prefix to add to the document content. + :param suffix: The suffix to add to the document content. + :param batch_size: The batch size to use for the embedding. + :param embedding_separator: The separator to use for the embedding. + :param meta_fields_to_embed: The meta fields to embed. + :param document_store: The document store to use. + :param duplicate_policy: The duplicate policy to use. + """ + self.model = model + self.prefix = prefix + self.suffix = suffix + self.batch_size = batch_size + self.embedding_separator = embedding_separator + self.meta_fields_to_embed = meta_fields_to_embed self.document_store = document_store self.duplicate_policy = duplicate_policy - if not isinstance(self.embedder, KNOWN_DOCUMENT_EMBEDDERS): - raise InvalidEmbedderError - pipeline = Pipeline() - pipeline.add_component("embedder", self.embedder) + pipeline.add_component( + "embedder", + SentenceTransformersDocumentEmbedder( + model=self.model or DEFAULT_EMBEDDING_MODEL, + prefix=self.prefix, + suffix=self.suffix, + batch_size=self.batch_size, + embedding_separator=self.embedding_separator, + meta_fields_to_embed=self.meta_fields_to_embed, + ), + ) pipeline.add_component( "writer", DocumentWriter( - document_store=self.document_store, + document_store=self.document_store or InMemoryDocumentStore(), policy=self.duplicate_policy, ), ) @@ -100,10 +106,17 @@ def to_dict(self) -> Dict[str, Any]: """ Serialize this instance to a dictionary. """ + document_store = component_to_dict(self.document_store, "document_store") if self.document_store else None + return default_to_dict( self, - embedder=component_to_dict(self.embedder, "embedder"), - document_store=component_to_dict(self.document_store, "document_store"), + model=self.model, + prefix=self.prefix, + suffix=self.suffix, + batch_size=self.batch_size, + embedding_separator=self.embedding_separator, + meta_fields_to_embed=self.meta_fields_to_embed, + document_store=document_store, duplicate_policy=self.duplicate_policy.value, ) @@ -114,14 +127,13 @@ def from_dict(cls, data: Dict[str, Any]) -> "DocumentIndexer": """ init_params = data.get("init_parameters", {}) - # Deserialized nested components - for name in ["embedder", "document_store"]: - if (item := init_params.get(name)) and isinstance(item, dict): - if "type" not in item: - raise DeserializationError(f"Missing 'type' in serialization data for {name} parameter.") + # Deserialize document store + if (document_store := init_params.get("document_store")) and isinstance(document_store, dict): + if "type" not in document_store: + raise DeserializationError("Missing 'type' in serialization data for document_store parameter.") - item_type = import_class_by_name(item["type"]) - init_params[name] = component_from_dict(item_type, item, name) + document_store_type = import_class_by_name(document_store["type"]) + init_params["document_store"] = component_from_dict(document_store_type, document_store, "document_store") # Deserialize policy if policy_value := init_params.get("duplicate_policy"): diff --git a/test/super_components/indexers/test_document_indexer.py b/test/super_components/indexers/test_document_indexer.py index c2bd2187..31bdefe9 100644 --- a/test/super_components/indexers/test_document_indexer.py +++ b/test/super_components/indexers/test_document_indexer.py @@ -4,25 +4,16 @@ from unittest.mock import ANY, Mock import pytest + from haystack_experimental.super_components.indexers import DocumentIndexer -from haystack.document_stores.in_memory import InMemoryDocumentStore -from haystack.components.embedders import SentenceTransformersDocumentEmbedder, SentenceTransformersTextEmbedder from haystack import Document -from haystack_experimental.super_components.indexers.document_indexer import InvalidEmbedderError class TestDocumentIndexer: @pytest.fixture - def document_store(self) -> InMemoryDocumentStore: - return InMemoryDocumentStore() - - @pytest.fixture - def indexer(self, document_store: InMemoryDocumentStore) -> DocumentIndexer: - return DocumentIndexer( - embedder=SentenceTransformersDocumentEmbedder(), - document_store=document_store, - ) + def indexer(self) -> DocumentIndexer: + return DocumentIndexer() @pytest.fixture def embedding_backend(self, indexer: DocumentIndexer, monkeypatch: pytest.MonkeyPatch) -> Mock: @@ -31,7 +22,10 @@ def embedding_backend(self, indexer: DocumentIndexer, monkeypatch: pytest.Monkey [0.3, 0.4, 0.01, 0.7], [0.1, 0.9, 0.87, 0.3], ] - monkeypatch.setattr(indexer.embedder, "embedding_backend", backend) + + embedder = indexer.pipeline.get_component("embedder") + monkeypatch.setattr(embedder, "embedding_backend", backend) + return backend def test_init(self, indexer: DocumentIndexer) -> None: @@ -40,23 +34,18 @@ def test_init(self, indexer: DocumentIndexer) -> None: assert indexer.input_mapping == {"documents": ["embedder.documents"]} assert indexer.output_mapping == {"writer.documents_written": "documents_written"} - def test_init_with_unknown_embedder(self, document_store: InMemoryDocumentStore) -> None: - with pytest.raises(InvalidEmbedderError): - DocumentIndexer(embedder=SentenceTransformersTextEmbedder(), document_store=document_store) - def test_from_dict(self) -> None: indexer = DocumentIndexer.from_dict( { "init_parameters": { - "document_store": { - "init_parameters": {}, - "type": "haystack.document_stores.in_memory.document_store.InMemoryDocumentStore", - }, + "model": None, + "prefix": "", + "suffix": "", + "batch_size": 32, + "embedding_separator": "\n", + "meta_fields_to_embed": None, + "document_store": None, "duplicate_policy": "overwrite", - "embedder": { - "init_parameters": {}, - "type": "haystack.components.embedders.sentence_transformers_document_embedder.SentenceTransformersDocumentEmbedder", - }, }, "type": "haystack_experimental.super_components.indexers.document_indexer.DocumentIndexer", } @@ -66,56 +55,26 @@ def test_from_dict(self) -> None: def test_to_dict(self, indexer: DocumentIndexer) -> None: expected = { "init_parameters": { - "document_store": { - "init_parameters": { - "bm25_algorithm": "BM25L", - "bm25_parameters": {}, - "bm25_tokenization_regex": ANY, - "embedding_similarity_function": "dot_product", - "index": ANY, - }, - "type": "haystack.document_stores.in_memory.document_store.InMemoryDocumentStore", - }, + "model": None, + "prefix": "", + "suffix": "", + "batch_size": 32, + "embedding_separator": "\n", + "meta_fields_to_embed": None, + "document_store": None, "duplicate_policy": "overwrite", - "embedder": { - "init_parameters": { - "batch_size": 32, - "config_kwargs": None, - "device": { - "device": "mps", - "type": "single", - }, - "embedding_separator": "\n", - "meta_fields_to_embed": [], - "model": "sentence-transformers/all-mpnet-base-v2", - "model_kwargs": None, - "normalize_embeddings": False, - "precision": "float32", - "prefix": "", - "progress_bar": True, - "suffix": "", - "token": { - "env_vars": [ - "HF_API_TOKEN", - "HF_TOKEN", - ], - "strict": False, - "type": "env_var", - }, - "tokenizer_kwargs": None, - "truncate_dim": None, - "trust_remote_code": False, - }, - "type": "haystack.components.embedders.sentence_transformers_document_embedder.SentenceTransformersDocumentEmbedder", - }, }, "type": "haystack_experimental.super_components.indexers.document_indexer.DocumentIndexer", } assert indexer.to_dict() == expected - def test_warm_up(self, indexer: DocumentIndexer, embedding_backend: Mock) -> None: - indexer.warm_up() - embedding_backend.assert_called_once + def test_warm_up(self, indexer: DocumentIndexer, monkeypatch: pytest.MonkeyPatch) -> None: + with monkeypatch.context() as m: + m.setattr(indexer.pipeline, "warm_up", Mock()) + + indexer.warm_up() + + indexer.pipeline.warm_up.assert_called_once() def test_run(self, indexer: DocumentIndexer, embedding_backend: Mock) -> None: documents = [ From eca5d67b4210f248f868d6c0a9a832dc7b34954f Mon Sep 17 00:00:00 2001 From: Abraham Yusuf Date: Thu, 30 Jan 2025 12:27:26 +0100 Subject: [PATCH 16/37] more tests --- .../indexers/test_document_indexer.py | 64 +++++++++++++++++++ 1 file changed, 64 insertions(+) diff --git a/test/super_components/indexers/test_document_indexer.py b/test/super_components/indexers/test_document_indexer.py index 31bdefe9..e1aeeabb 100644 --- a/test/super_components/indexers/test_document_indexer.py +++ b/test/super_components/indexers/test_document_indexer.py @@ -3,11 +3,13 @@ # SPDX-License-Identifier: Apache-2.0 from unittest.mock import ANY, Mock +from uuid import UUID import pytest from haystack_experimental.super_components.indexers import DocumentIndexer from haystack import Document +from haystack.document_stores.in_memory import InMemoryDocumentStore class TestDocumentIndexer: @@ -52,6 +54,40 @@ def test_from_dict(self) -> None: ) assert isinstance(indexer, DocumentIndexer) + def test_from_dict_with_document_store(self) -> None: + indexer = DocumentIndexer.from_dict( + { + "init_parameters": { + "model": None, + "prefix": "", + "suffix": "", + "batch_size": 32, + "embedding_separator": "\n", + "meta_fields_to_embed": None, + "document_store": { + "init_parameters": { + "bm25_tokenization_regex": r"(?u)\b\w\w+\b", + "bm25_algorithm": "BM25L", + "bm25_parameters": None, + "embedding_similarity_function": "dot_product", + "index": None, + }, + "type": "haystack.document_stores.in_memory.document_store.InMemoryDocumentStore", + }, + "duplicate_policy": "overwrite", + }, + "type": "haystack_experimental.super_components.indexers.document_indexer.DocumentIndexer", + } + ) + + assert isinstance(indexer, DocumentIndexer) + assert isinstance(indexer.document_store, InMemoryDocumentStore) + assert indexer.document_store.bm25_tokenization_regex == r"(?u)\b\w\w+\b" + assert indexer.document_store.bm25_algorithm == "BM25L" + assert indexer.document_store.bm25_parameters == {} + assert indexer.document_store.embedding_similarity_function == "dot_product" + assert UUID(indexer.document_store.index, version=4) + def test_to_dict(self, indexer: DocumentIndexer) -> None: expected = { "init_parameters": { @@ -68,6 +104,34 @@ def test_to_dict(self, indexer: DocumentIndexer) -> None: } assert indexer.to_dict() == expected + def test_to_dict_with_document_store(self) -> None: + document_store = InMemoryDocumentStore() + indexer = DocumentIndexer(document_store=document_store) + + expected = { + "init_parameters": { + "model": None, + "prefix": "", + "suffix": "", + "batch_size": 32, + "embedding_separator": "\n", + "meta_fields_to_embed": None, + "document_store": { + "init_parameters": { + "bm25_tokenization_regex": r"(?u)\b\w\w+\b", + "bm25_algorithm": "BM25L", + "bm25_parameters": {}, + "embedding_similarity_function": "dot_product", + "index": document_store.index, + }, + "type": "haystack.document_stores.in_memory.document_store.InMemoryDocumentStore", + }, + "duplicate_policy": "overwrite", + }, + "type": "haystack_experimental.super_components.indexers.document_indexer.DocumentIndexer", + } + assert indexer.to_dict() == expected + def test_warm_up(self, indexer: DocumentIndexer, monkeypatch: pytest.MonkeyPatch) -> None: with monkeypatch.context() as m: m.setattr(indexer.pipeline, "warm_up", Mock()) From 301b523c733d8ff1795591c823d8aab56aa64c31 Mon Sep 17 00:00:00 2001 From: Abraham Yusuf Date: Thu, 30 Jan 2025 17:18:32 +0100 Subject: [PATCH 17/37] fix --- .../indexers/document_indexer.py | 16 +--- .../indexers/test_document_indexer.py | 85 ++++--------------- 2 files changed, 18 insertions(+), 83 deletions(-) diff --git a/haystack_experimental/super_components/indexers/document_indexer.py b/haystack_experimental/super_components/indexers/document_indexer.py index f788c0df..6e155a6c 100644 --- a/haystack_experimental/super_components/indexers/document_indexer.py +++ b/haystack_experimental/super_components/indexers/document_indexer.py @@ -49,7 +49,6 @@ def __init__( batch_size: int = 32, embedding_separator: str = "\n", meta_fields_to_embed: Optional[List[str]] = None, - document_store: Optional[DocumentStore] = None, duplicate_policy: DuplicatePolicy = DuplicatePolicy.OVERWRITE, ) -> None: """ @@ -61,7 +60,6 @@ def __init__( :param batch_size: The batch size to use for the embedding. :param embedding_separator: The separator to use for the embedding. :param meta_fields_to_embed: The meta fields to embed. - :param document_store: The document store to use. :param duplicate_policy: The duplicate policy to use. """ self.model = model @@ -70,7 +68,6 @@ def __init__( self.batch_size = batch_size self.embedding_separator = embedding_separator self.meta_fields_to_embed = meta_fields_to_embed - self.document_store = document_store self.duplicate_policy = duplicate_policy pipeline = Pipeline() @@ -89,7 +86,7 @@ def __init__( pipeline.add_component( "writer", DocumentWriter( - document_store=self.document_store or InMemoryDocumentStore(), + document_store=InMemoryDocumentStore(), policy=self.duplicate_policy, ), ) @@ -106,8 +103,6 @@ def to_dict(self) -> Dict[str, Any]: """ Serialize this instance to a dictionary. """ - document_store = component_to_dict(self.document_store, "document_store") if self.document_store else None - return default_to_dict( self, model=self.model, @@ -116,7 +111,6 @@ def to_dict(self) -> Dict[str, Any]: batch_size=self.batch_size, embedding_separator=self.embedding_separator, meta_fields_to_embed=self.meta_fields_to_embed, - document_store=document_store, duplicate_policy=self.duplicate_policy.value, ) @@ -127,14 +121,6 @@ def from_dict(cls, data: Dict[str, Any]) -> "DocumentIndexer": """ init_params = data.get("init_parameters", {}) - # Deserialize document store - if (document_store := init_params.get("document_store")) and isinstance(document_store, dict): - if "type" not in document_store: - raise DeserializationError("Missing 'type' in serialization data for document_store parameter.") - - document_store_type = import_class_by_name(document_store["type"]) - init_params["document_store"] = component_from_dict(document_store_type, document_store, "document_store") - # Deserialize policy if policy_value := init_params.get("duplicate_policy"): init_params["duplicate_policy"] = DuplicatePolicy(policy_value) diff --git a/test/super_components/indexers/test_document_indexer.py b/test/super_components/indexers/test_document_indexer.py index e1aeeabb..b05dfe7e 100644 --- a/test/super_components/indexers/test_document_indexer.py +++ b/test/super_components/indexers/test_document_indexer.py @@ -2,14 +2,16 @@ # # SPDX-License-Identifier: Apache-2.0 -from unittest.mock import ANY, Mock +from unittest.mock import Mock from uuid import UUID import pytest from haystack_experimental.super_components.indexers import DocumentIndexer -from haystack import Document +from haystack import Document, Pipeline from haystack.document_stores.in_memory import InMemoryDocumentStore +from haystack.components.embedders import SentenceTransformersDocumentEmbedder +from haystack.components.writers import DocumentWriter class TestDocumentIndexer: @@ -31,30 +33,23 @@ def embedding_backend(self, indexer: DocumentIndexer, monkeypatch: pytest.Monkey return backend def test_init(self, indexer: DocumentIndexer) -> None: - assert indexer is not None - assert hasattr(indexer, "pipeline") + assert isinstance(indexer.pipeline, Pipeline) assert indexer.input_mapping == {"documents": ["embedder.documents"]} assert indexer.output_mapping == {"writer.documents_written": "documents_written"} - def test_from_dict(self) -> None: - indexer = DocumentIndexer.from_dict( - { - "init_parameters": { - "model": None, - "prefix": "", - "suffix": "", - "batch_size": 32, - "embedding_separator": "\n", - "meta_fields_to_embed": None, - "document_store": None, - "duplicate_policy": "overwrite", - }, - "type": "haystack_experimental.super_components.indexers.document_indexer.DocumentIndexer", - } - ) - assert isinstance(indexer, DocumentIndexer) + embedder = indexer.pipeline.get_component("embedder") + assert isinstance(embedder, SentenceTransformersDocumentEmbedder) + + writer = indexer.pipeline.get_component("writer") + assert isinstance(writer, DocumentWriter) + assert isinstance(writer.document_store, InMemoryDocumentStore) + assert writer.document_store.bm25_tokenization_regex == r"(?u)\b\w\w+\b" + assert writer.document_store.bm25_algorithm == "BM25L" + assert writer.document_store.bm25_parameters == {} + assert writer.document_store.embedding_similarity_function == "dot_product" + assert UUID(writer.document_store.index, version=4) - def test_from_dict_with_document_store(self) -> None: + def test_from_dict(self) -> None: indexer = DocumentIndexer.from_dict( { "init_parameters": { @@ -64,29 +59,12 @@ def test_from_dict_with_document_store(self) -> None: "batch_size": 32, "embedding_separator": "\n", "meta_fields_to_embed": None, - "document_store": { - "init_parameters": { - "bm25_tokenization_regex": r"(?u)\b\w\w+\b", - "bm25_algorithm": "BM25L", - "bm25_parameters": None, - "embedding_similarity_function": "dot_product", - "index": None, - }, - "type": "haystack.document_stores.in_memory.document_store.InMemoryDocumentStore", - }, "duplicate_policy": "overwrite", }, "type": "haystack_experimental.super_components.indexers.document_indexer.DocumentIndexer", } ) - assert isinstance(indexer, DocumentIndexer) - assert isinstance(indexer.document_store, InMemoryDocumentStore) - assert indexer.document_store.bm25_tokenization_regex == r"(?u)\b\w\w+\b" - assert indexer.document_store.bm25_algorithm == "BM25L" - assert indexer.document_store.bm25_parameters == {} - assert indexer.document_store.embedding_similarity_function == "dot_product" - assert UUID(indexer.document_store.index, version=4) def test_to_dict(self, indexer: DocumentIndexer) -> None: expected = { @@ -97,35 +75,6 @@ def test_to_dict(self, indexer: DocumentIndexer) -> None: "batch_size": 32, "embedding_separator": "\n", "meta_fields_to_embed": None, - "document_store": None, - "duplicate_policy": "overwrite", - }, - "type": "haystack_experimental.super_components.indexers.document_indexer.DocumentIndexer", - } - assert indexer.to_dict() == expected - - def test_to_dict_with_document_store(self) -> None: - document_store = InMemoryDocumentStore() - indexer = DocumentIndexer(document_store=document_store) - - expected = { - "init_parameters": { - "model": None, - "prefix": "", - "suffix": "", - "batch_size": 32, - "embedding_separator": "\n", - "meta_fields_to_embed": None, - "document_store": { - "init_parameters": { - "bm25_tokenization_regex": r"(?u)\b\w\w+\b", - "bm25_algorithm": "BM25L", - "bm25_parameters": {}, - "embedding_similarity_function": "dot_product", - "index": document_store.index, - }, - "type": "haystack.document_stores.in_memory.document_store.InMemoryDocumentStore", - }, "duplicate_policy": "overwrite", }, "type": "haystack_experimental.super_components.indexers.document_indexer.DocumentIndexer", From 42019986a49568c18f4c4674bd1ed7c2b469c88b Mon Sep 17 00:00:00 2001 From: Abraham Yusuf Date: Thu, 30 Jan 2025 17:20:38 +0100 Subject: [PATCH 18/37] remove unused imports --- .../super_components/indexers/document_indexer.py | 8 +------- 1 file changed, 1 insertion(+), 7 deletions(-) diff --git a/haystack_experimental/super_components/indexers/document_indexer.py b/haystack_experimental/super_components/indexers/document_indexer.py index 6e155a6c..9bb8b921 100644 --- a/haystack_experimental/super_components/indexers/document_indexer.py +++ b/haystack_experimental/super_components/indexers/document_indexer.py @@ -7,14 +7,8 @@ from haystack import Pipeline, component, default_from_dict, default_to_dict from haystack.components.embedders import SentenceTransformersDocumentEmbedder from haystack.components.writers import DocumentWriter -from haystack.core.serialization import ( - DeserializationError, - component_from_dict, - component_to_dict, - import_class_by_name, -) from haystack.document_stores.in_memory import InMemoryDocumentStore -from haystack.document_stores.types import DocumentStore, DuplicatePolicy +from haystack.document_stores.types import DuplicatePolicy from haystack_experimental.core.super_component import SuperComponentBase From 159af04bb279c93b03848220c4e98402649816e7 Mon Sep 17 00:00:00 2001 From: mathislucka Date: Thu, 6 Feb 2025 10:53:38 +0100 Subject: [PATCH 19/37] refactor: use single base class --- haystack_experimental/__init__.py | 2 +- haystack_experimental/core/__init__.py | 4 +- .../core/super_component/__init__.py | 3 +- .../core/super_component/base.py | 397 ----------------- .../core/super_component/super_component.py | 399 +++++++++++++++++- .../super_component/test_super_component.py | 32 ++ 6 files changed, 427 insertions(+), 410 deletions(-) delete mode 100644 haystack_experimental/core/super_component/base.py diff --git a/haystack_experimental/__init__.py b/haystack_experimental/__init__.py index 11223b7f..d4acc2fe 100644 --- a/haystack_experimental/__init__.py +++ b/haystack_experimental/__init__.py @@ -2,4 +2,4 @@ # # SPDX-License-Identifier: Apache-2.0 -from .core import AsyncPipeline, Pipeline, SuperComponent, SuperComponentBase +from .core import AsyncPipeline, Pipeline, SuperComponent diff --git a/haystack_experimental/core/__init__.py b/haystack_experimental/core/__init__.py index cc3d85c2..97ef4384 100644 --- a/haystack_experimental/core/__init__.py +++ b/haystack_experimental/core/__init__.py @@ -4,6 +4,6 @@ from .pipeline import Pipeline from .pipeline.async_pipeline import AsyncPipeline -from .super_component import SuperComponent, SuperComponentBase +from .super_component import SuperComponent -_all_ = ["Pipeline", "SuperComponent", "SuperComponentBase"] +_all_ = ["Pipeline", "SuperComponent"] diff --git a/haystack_experimental/core/super_component/__init__.py b/haystack_experimental/core/super_component/__init__.py index 3bdbfee4..17746d85 100644 --- a/haystack_experimental/core/super_component/__init__.py +++ b/haystack_experimental/core/super_component/__init__.py @@ -2,7 +2,6 @@ # # SPDX-License-Identifier: Apache-2.0 -from .base import SuperComponentBase from .super_component import SuperComponent -_all_ = ["SuperComponent", "SuperComponentBase"] +_all_ = ["SuperComponent"] diff --git a/haystack_experimental/core/super_component/base.py b/haystack_experimental/core/super_component/base.py deleted file mode 100644 index 9ecb5b00..00000000 --- a/haystack_experimental/core/super_component/base.py +++ /dev/null @@ -1,397 +0,0 @@ -# SPDX-FileCopyrightText: 2022-present deepset GmbH -# -# SPDX-License-Identifier: Apache-2.0 - -from typing import Any, Dict, List, Optional, Tuple - -from haystack import Pipeline, component -from haystack.core.serialization import default_to_dict - -from haystack_experimental.core.super_component.utils import _delegate_default, is_compatible - - -class InvalidMappingError(Exception): - """Raised when input or output mappings are invalid or type conflicts are found.""" - - pass - - - -class SuperComponentBase: - """ - A base class for creating super components that wrap around a Pipeline. - - This wrapper allows for remapping of input and output socket names between the wrapped - pipeline and the external interface. It handles type checking and verification of all - mappings. - - :param pipeline: The pipeline wrapped by the component - :param input_mapping: Mapping from wrapper input names to lists of pipeline socket paths - in format "component_name.socket_name" - :param output_mapping: Mapping from pipeline socket paths to wrapper output names - :raises InvalidMappingError: If any input or output mappings are invalid or if type - conflicts are detected - :raises ValueError: If no pipeline is provided - """ - - def __init__( - self, - pipeline: Pipeline, - input_mapping: Optional[Dict[str, List[str]]] = None, - output_mapping: Optional[Dict[str, str]] = None, - ) -> None: - """ - Initialize the pipeline wrapper with optional I/O mappings. - - :param pipeline: The pipeline to wrap - :param input_mapping: Optional input name mapping configuration - :param output_mapping: Optional output name mapping configuration - """ - self.pipeline: Pipeline = pipeline - self.input_mapping: Optional[Dict[str, List[str]]] = input_mapping - self.output_mapping: Optional[Dict[str, str]] = output_mapping - self._set_io_types() - self.warmed_up = False - - def warm_up(self) -> None: - """ - Warms up the pipeline if it has not been warmed up before. - """ - if not self.warmed_up: - self.pipeline.warm_up() - self.warmed_up = True - - def _set_io_types(self) -> None: - """ - Initialize pipeline by resolving input/output types and setting them on wrapper. - - :raises InvalidMappingError: If type conflicts are found in input or output mappings - """ - input_types = self._resolve_input_types() - self._set_input_types(input_types) - output_types = self._resolve_output_types() - component.set_output_types(self, **output_types) - - @staticmethod - def _split_component_path(path: str) -> Tuple[str, str]: - """ - Split a component path into component name and socket name. - - :param path: String in format "component_name.socket_name" - :return: Tuple of (component_name, socket_name) - :raises InvalidMappingError: If path format is invalid - """ - try: - comp_name, socket_name = path.split(".") - return comp_name, socket_name - except ValueError: - raise InvalidMappingError(f"Invalid path format: {path}. Expected 'component_name.socket_name'") - - def _resolve_input_types(self) -> Dict[str, Dict[str, Any]]: - """ - Resolve input types from pipeline and set them on wrapper. - - Examines the pipeline's declared inputs and merges them with the input mapping - to check for type conflicts and set appropriate input types on the wrapper component. - - :returns: The resolved input type data according to auto-resolution or input mapping. - :raises InvalidMappingError: If type conflicts are found or mapped components/sockets - don't exist - """ - pipeline_inputs = self.pipeline.inputs(include_components_with_connected_inputs=False) - - if input_mapping := self.input_mapping or self.pipeline.metadata.get("input_mapping"): - return self._handle_explicit_input_mapping(pipeline_inputs, input_mapping) - else: - return self._handle_auto_input_mapping(pipeline_inputs) - - def _handle_explicit_input_mapping( # noqa: PLR0912 - self, pipeline_inputs: Dict[str, Dict[str, Any]], input_mapping: Dict[str, List[str]] - ) -> Dict[str, Dict[str, Any]]: - """ - Handle case where explicit input mapping is provided. - - :param pipeline_inputs: Dictionary of pipeline input specifications - :param input_mapping: Mapping from wrapper inputs to pipeline socket paths - :returns: The resolved input type data resolved according to the input mapping. - :raises InvalidMappingError: If mapping is invalid or type conflicts exist - """ - aggregated_inputs: Dict[str, Dict[str, Any]] = {} - for wrapper_input_name, pipeline_input_paths in input_mapping.items(): - if not isinstance(pipeline_input_paths, list): - pipeline_input_paths = [pipeline_input_paths] - - for path in pipeline_input_paths: - comp_name, socket_name = self._split_component_path(path) - - if comp_name not in pipeline_inputs: - raise InvalidMappingError(f"Component '{comp_name}' not found in pipeline inputs.") - - if socket_name not in pipeline_inputs[comp_name]: - raise InvalidMappingError(f"Input socket '{socket_name}' not found in component '{comp_name}'.") - - socket_info = pipeline_inputs[comp_name][socket_name] - if existing_socket_info := aggregated_inputs.get(wrapper_input_name): - if not is_compatible(existing_socket_info["type"], socket_info["type"]): - raise InvalidMappingError( - f"Type conflict for input '{socket_name}': " - f"found {existing_socket_info['type']} and {socket_info['type']}" - ) - - # If any socket requires mandatory inputs it has to take precedence - if not aggregated_inputs[wrapper_input_name]["is_mandatory"]: - aggregated_inputs[wrapper_input_name]["is_mandatory"] = socket_info["is_mandatory"] - else: - aggregated_inputs[wrapper_input_name] = socket_info - - return aggregated_inputs - - @staticmethod - def _handle_auto_input_mapping(pipeline_inputs: Dict[str, Dict[str, Any]]) -> Dict[str, Dict[str, Any]]: - """ - Handle case where input mapping should be auto-detected. - - :param pipeline_inputs: Dictionary of pipeline input specifications - :returns: The resolved input type data resolved according to auto-resolution. - :raises InvalidMappingError: If type conflicts exist between components - """ - aggregated_inputs: Dict[str, Dict[str, Any]] = {} - - for inputs_dict in pipeline_inputs.values(): - for socket_name, socket_info in inputs_dict.items(): - if existing_socket_info := aggregated_inputs.get(socket_name): - if not is_compatible(existing_socket_info["type"], socket_info["type"]): - raise InvalidMappingError( - f"Type conflict for input '{socket_name}': " - f"found {existing_socket_info['type']} and {socket_info['type']}" - ) - - # If any socket requires mandatory inputs it has to take precedence - if not existing_socket_info["is_mandatory"]: - aggregated_inputs[socket_name]["is_mandatory"] = socket_info["is_mandatory"] - else: - aggregated_inputs[socket_name] = socket_info - - - return aggregated_inputs - - def _set_input_types(self, aggregated_inputs: Dict[str, Dict[str, Any]]) -> None: - """ - Sets the components input types. - - :param aggregated_inputs: The input types to set. - """ - for input_name, info in aggregated_inputs.items(): - if info["is_mandatory"]: - component.set_input_type(self, input_name, info["type"]) - else: - component.set_input_type(self, input_name, info["type"], default=_delegate_default) - - def _resolve_output_types(self) -> Dict[str, Any]: - """ - Resolve output types based on pipeline outputs and mapping. - - :return: Dictionary mapping wrapper output names to their types - :raises InvalidMappingError: If mapping is invalid or output conflicts exist - """ - pipeline_outputs = self.pipeline.outputs(include_components_with_connected_outputs=False) - - if output_mapping := self.output_mapping or self.pipeline.metadata.get("output_mapping"): - return self._handle_explicit_output_mapping(pipeline_outputs, output_mapping) - else: - return self._handle_auto_output_mapping(pipeline_outputs) - - def _handle_explicit_output_mapping( - self, pipeline_outputs: Dict[str, Dict[str, Any]], output_mapping: Dict[str, str] - ) -> Dict[str, Any]: - """ - Handle case where explicit output mapping is provided. - - :param pipeline_outputs: Dictionary of pipeline output specifications - :param output_mapping: Mapping from pipeline paths to wrapper output names - :return: Dictionary of resolved output types - :raises InvalidMappingError: If mapping is invalid - """ - resolved_outputs = {} - for pipeline_output_path, wrapper_output_name in output_mapping.items(): - comp_name, socket_name = self._split_component_path(pipeline_output_path) - - if comp_name not in pipeline_outputs: - raise InvalidMappingError(f"Component '{comp_name}' not found among pipeline outputs.") - if socket_name not in pipeline_outputs[comp_name]: - raise InvalidMappingError(f"Output socket '{socket_name}' not found in component '{comp_name}'.") - if wrapper_output_name in resolved_outputs: - raise InvalidMappingError(f"Duplicate wrapper output name '{wrapper_output_name}' in output_mapping.") - - resolved_outputs[wrapper_output_name] = pipeline_outputs[comp_name][socket_name]["type"] - - return resolved_outputs - - @staticmethod - def _handle_auto_output_mapping(pipeline_outputs: Dict[str, Dict[str, Any]]) -> Dict[str, Any]: - """ - Handle case where output mapping should be auto-detected. - - :param pipeline_outputs: Dictionary of pipeline output specifications - :return: Dictionary of resolved output types - :raises InvalidMappingError: If output conflicts exist - """ - resolved_outputs = {} - used_output_names: set[str] = set() - - for outputs_dict in pipeline_outputs.values(): - for socket_name, socket_info in outputs_dict.items(): - if socket_name in used_output_names: - raise InvalidMappingError( - f"Output name conflict: '{socket_name}' is produced by multiple components. " - "Please provide an output_mapping to disambiguate." - ) - resolved_outputs[socket_name] = socket_info["type"] - used_output_names.add(socket_name) - - return resolved_outputs - - def run(self, **kwargs: Any) -> Dict[str, Any]: - """ - Run the wrapped pipeline with the given inputs. - - This method: - 1. Maps input kwargs to pipeline component inputs - 2. Executes the pipeline - 3. Maps pipeline outputs back to wrapper outputs - - :param kwargs: Keyword arguments matching wrapper input names - :return: Dictionary mapping wrapper output names to values - :raises ValueError: If no pipeline is configured - :raises InvalidMappingError: If output conflicts occur during auto-mapping - """ - if not self.pipeline: - raise ValueError("No pipeline configured. Provide a valid pipeline before calling run().") - - pipeline_inputs = self._prepare_pipeline_inputs(kwargs) - pipeline_outputs = self.pipeline.run(data=pipeline_inputs) - return self._process_pipeline_outputs(pipeline_outputs) - - def _prepare_pipeline_inputs(self, inputs: Dict[str, Any]) -> Dict[str, Dict[str, Any]]: - """ - Prepare inputs for pipeline execution. - - :param inputs: Input arguments provided to wrapper - :return: Dictionary of pipeline inputs in required format - """ - # We delegate defaults to the existing default values of the components in the pipeline. - filtered_inputs = {param: value for param, value in inputs.items() if value != _delegate_default } - if input_mapping := self.input_mapping or self.pipeline.metadata.get("input_mapping"): - return self._map_explicit_inputs(input_mapping=input_mapping, inputs=filtered_inputs) - else: - return self._map_auto_inputs(filtered_inputs) - - def _map_explicit_inputs( - self, input_mapping: Dict[str, List[str]], inputs: Dict[str, Any] - ) -> Dict[str, Dict[str, Any]]: - """ - Map inputs according to explicit input mapping. - - :param input_mapping: Mapping configuration for inputs - :param inputs: Input arguments provided to wrapper - :return: Dictionary of mapped pipeline inputs - """ - pipeline_inputs: Dict[str, Dict[str, Any]] = {} - for wrapper_input_name, pipeline_input_paths in input_mapping.items(): - if wrapper_input_name not in inputs: - continue - - if not isinstance(pipeline_input_paths, list): - pipeline_input_paths = [pipeline_input_paths] - - for socket_path in pipeline_input_paths: - comp_name, input_name = self._split_component_path(socket_path) - if comp_name not in pipeline_inputs: - pipeline_inputs[comp_name] = {} - pipeline_inputs[comp_name][input_name] = inputs[wrapper_input_name] - - return pipeline_inputs - - def _map_auto_inputs(self, inputs: Dict[str, Any]) -> Dict[str, Dict[str, Any]]: - """ - Map inputs automatically based on matching names. - - :param inputs: Input arguments provided to wrapper - :return: Dictionary of mapped pipeline inputs - """ - pipeline_inputs: Dict[str, Dict[str, Any]] = {} - pipeline_decl_inputs = self.pipeline.inputs(include_components_with_connected_inputs=False) - - for comp_name, inputs_dict in pipeline_decl_inputs.items(): - for socket_name in inputs_dict.keys(): - if socket_name in inputs: - pipeline_inputs.setdefault(comp_name, {})[socket_name] = inputs[socket_name] - - return pipeline_inputs - - def _process_pipeline_outputs(self, pipeline_outputs: Dict[str, Dict[str, Any]]) -> Dict[str, Any]: - """ - Process outputs from pipeline execution. - - :param pipeline_outputs: Raw outputs from pipeline execution - :return: Dictionary of processed outputs - :raises InvalidMappingError: If output conflicts occur during auto-mapping - """ - if output_mapping := self.output_mapping or self.pipeline.metadata.get("output_mapping"): - return self._map_explicit_outputs(pipeline_outputs, output_mapping) - else: - return self._map_auto_outputs(pipeline_outputs) - - def _map_explicit_outputs( - self, pipeline_outputs: Dict[str, Dict[str, Any]], output_mapping: Dict[str, str] - ) -> Dict[str, Any]: - """ - Map outputs according to explicit output mapping. - - :param pipeline_outputs: Raw outputs from pipeline execution - :param output_mapping: Output mapping configuration - :return: Dictionary of mapped outputs - """ - outputs: Dict[str, Any] = {} - for pipeline_output_path, wrapper_output_name in output_mapping.items(): - comp_name, socket_name = self._split_component_path(pipeline_output_path) - if comp_name in pipeline_outputs and socket_name in pipeline_outputs[comp_name]: - outputs[wrapper_output_name] = pipeline_outputs[comp_name][socket_name] - return outputs - - @staticmethod - def _map_auto_outputs(pipeline_outputs: Dict[str, Dict[str, Any]]) -> Dict[str, Any]: - """ - Map outputs automatically based on matching names. - - :param pipeline_outputs: Raw outputs from pipeline execution - :return: Dictionary of mapped outputs - :raises InvalidMappingError: If output conflicts occur during auto-mapping - """ - outputs: Dict[str, Any] = {} - seen: set[str] = set() - - for comp_output_dict in pipeline_outputs.values(): - for socket_name, value in comp_output_dict.items(): - if socket_name in seen: - raise InvalidMappingError( - f"Output conflict: output '{socket_name}' is produced by multiple components. " - "Please provide an output_mapping to disambiguate." - ) - outputs[socket_name] = value - seen.add(socket_name) - - return outputs - - def to_super_component_dict(self) -> Dict[str, Any]: - """ - Convert to a SuperComponent dictionary representation. - - :return: Dictionary containing serialized SuperComponent data - """ - serialized_pipeline = self.pipeline.to_dict() - serialized = default_to_dict( - self, pipeline=serialized_pipeline, input_mapping=self.input_mapping, output_mapping=self.output_mapping - ) - serialized["type"] = "haystack_experimental.core.super_component.super_component.SuperComponent" - return serialized diff --git a/haystack_experimental/core/super_component/super_component.py b/haystack_experimental/core/super_component/super_component.py index c0ad5c72..517cd34d 100644 --- a/haystack_experimental/core/super_component/super_component.py +++ b/haystack_experimental/core/super_component/super_component.py @@ -2,26 +2,72 @@ # # SPDX-License-Identifier: Apache-2.0 -from typing import Any, Dict +from typing import Any, Dict, List, Optional, Tuple from haystack import Pipeline, component from haystack.core.serialization import default_from_dict, default_to_dict -from haystack_experimental.core.super_component.base import SuperComponentBase +from haystack_experimental.core.super_component.utils import _delegate_default, is_compatible -@component -class SuperComponent(SuperComponentBase): +class InvalidMappingError(Exception): + """Raised when input or output mappings are invalid or type conflicts are found.""" + + pass + + + +class SuperComponent: + """ + A class for creating super components that wrap around a Pipeline. + + This wrapper allows for remapping of input and output socket names between the wrapped + pipeline and the external interface. It handles type checking and verification of all + mappings. + + :param pipeline: The pipeline wrapped by the component + :param input_mapping: Mapping from wrapper input names to lists of pipeline socket paths + in format "component_name.socket_name" + :param output_mapping: Mapping from pipeline socket paths to wrapper output names + :raises InvalidMappingError: If any input or output mappings are invalid or if type + conflicts are detected + :raises ValueError: If no pipeline is provided + """ + + def __init__( + self, + pipeline: Pipeline, + input_mapping: Optional[Dict[str, List[str]]] = None, + output_mapping: Optional[Dict[str, str]] = None, + ) -> None: + """ + Initialize the component with optional I/O mappings. + + :param pipeline: The pipeline to wrap + :param input_mapping: Optional input name mapping configuration + :param output_mapping: Optional output name mapping configuration + """ + self.pipeline: Pipeline = pipeline + self.input_mapping: Optional[Dict[str, List[str]]] = input_mapping + self.output_mapping: Optional[Dict[str, str]] = output_mapping + self._set_io_types() + self.warmed_up = False + + def warm_up(self) -> None: + """ + Warms up the pipeline if it has not been warmed up before. + """ + if not self.warmed_up: + self.pipeline.warm_up() + self.warmed_up = True + def to_dict(self) -> Dict[str, Any]: """ Convert the pipeline wrapper to a dictionary representation. :return: Dictionary containing serialized pipeline wrapper data """ - serialized_pipeline = self.pipeline.to_dict() - return default_to_dict( - self, pipeline=serialized_pipeline, input_mapping=self.input_mapping, output_mapping=self.output_mapping - ) + return self._to_super_component_dict() @classmethod def from_dict(cls, data: Dict[str, Any]) -> "SuperComponent": @@ -35,3 +81,340 @@ def from_dict(cls, data: Dict[str, Any]) -> "SuperComponent": data["init_parameters"]["pipeline"] = pipeline return default_from_dict(cls, data) + + def run(self, **kwargs: Any) -> Dict[str, Any]: + """ + Run the wrapped pipeline with the given inputs. + + This method: + 1. Maps input kwargs to pipeline component inputs + 2. Executes the pipeline + 3. Maps pipeline outputs back to wrapper outputs + + :param kwargs: Keyword arguments matching wrapper input names + :return: Dictionary mapping wrapper output names to values + :raises ValueError: If no pipeline is configured + :raises InvalidMappingError: If output conflicts occur during auto-mapping + """ + if not self.pipeline: + raise ValueError("No pipeline configured. Provide a valid pipeline before calling run().") + + pipeline_inputs = self._prepare_pipeline_inputs(kwargs) + pipeline_outputs = self.pipeline.run(data=pipeline_inputs) + return self._process_pipeline_outputs(pipeline_outputs) + + def _set_io_types(self) -> None: + """ + Initialize pipeline by resolving input/output types and setting them on wrapper. + + :raises InvalidMappingError: If type conflicts are found in input or output mappings + """ + input_types = self._resolve_input_types() + self._set_input_types(input_types) + output_types = self._resolve_output_types() + component.set_output_types(self, **output_types) + + @staticmethod + def _split_component_path(path: str) -> Tuple[str, str]: + """ + Split a component path into component name and socket name. + + :param path: String in format "component_name.socket_name" + :return: Tuple of (component_name, socket_name) + :raises InvalidMappingError: If path format is invalid + """ + try: + comp_name, socket_name = path.split(".") + return comp_name, socket_name + except ValueError: + raise InvalidMappingError(f"Invalid path format: {path}. Expected 'component_name.socket_name'") + + def _resolve_input_types(self) -> Dict[str, Dict[str, Any]]: + """ + Resolve input types from pipeline and set them on the component. + + Examines the pipeline's declared inputs and merges them with the input mapping + to check for type conflicts and set appropriate input types on the wrapper component. + + :returns: The resolved input type data according to auto-resolution or input mapping. + :raises InvalidMappingError: If type conflicts are found or mapped components/sockets + don't exist + """ + pipeline_inputs = self.pipeline.inputs(include_components_with_connected_inputs=False) + + if input_mapping := self.input_mapping or self.pipeline.metadata.get("input_mapping"): + return self._handle_explicit_input_mapping(pipeline_inputs, input_mapping) + else: + return self._handle_auto_input_mapping(pipeline_inputs) + + def _handle_explicit_input_mapping( # noqa: PLR0912 + self, pipeline_inputs: Dict[str, Dict[str, Any]], input_mapping: Dict[str, List[str]] + ) -> Dict[str, Dict[str, Any]]: + """ + Handle case where explicit input mapping is provided. + + :param pipeline_inputs: Dictionary of pipeline input specifications + :param input_mapping: Mapping from wrapper inputs to pipeline socket paths + :returns: The resolved input type data resolved according to the input mapping. + :raises InvalidMappingError: If mapping is invalid or type conflicts exist + """ + aggregated_inputs: Dict[str, Dict[str, Any]] = {} + for wrapper_input_name, pipeline_input_paths in input_mapping.items(): + if not isinstance(pipeline_input_paths, list): + pipeline_input_paths = [pipeline_input_paths] + + for path in pipeline_input_paths: + comp_name, socket_name = self._split_component_path(path) + + if comp_name not in pipeline_inputs: + raise InvalidMappingError(f"Component '{comp_name}' not found in pipeline inputs.") + + if socket_name not in pipeline_inputs[comp_name]: + raise InvalidMappingError(f"Input socket '{socket_name}' not found in component '{comp_name}'.") + + socket_info = pipeline_inputs[comp_name][socket_name] + if existing_socket_info := aggregated_inputs.get(wrapper_input_name): + if not is_compatible(existing_socket_info["type"], socket_info["type"]): + raise InvalidMappingError( + f"Type conflict for input '{socket_name}': " + f"found {existing_socket_info['type']} and {socket_info['type']}" + ) + + # If any socket requires mandatory inputs it has to take precedence + if not aggregated_inputs[wrapper_input_name]["is_mandatory"]: + aggregated_inputs[wrapper_input_name]["is_mandatory"] = socket_info["is_mandatory"] + else: + aggregated_inputs[wrapper_input_name] = socket_info + + return aggregated_inputs + + @staticmethod + def _handle_auto_input_mapping(pipeline_inputs: Dict[str, Dict[str, Any]]) -> Dict[str, Dict[str, Any]]: + """ + Handle case where input mapping should be auto-detected. + + :param pipeline_inputs: Dictionary of pipeline input specifications + :returns: The resolved input type data resolved according to auto-resolution. + :raises InvalidMappingError: If type conflicts exist between components + """ + aggregated_inputs: Dict[str, Dict[str, Any]] = {} + + for inputs_dict in pipeline_inputs.values(): + for socket_name, socket_info in inputs_dict.items(): + if existing_socket_info := aggregated_inputs.get(socket_name): + if not is_compatible(existing_socket_info["type"], socket_info["type"]): + raise InvalidMappingError( + f"Type conflict for input '{socket_name}': " + f"found {existing_socket_info['type']} and {socket_info['type']}" + ) + + # If any socket requires mandatory inputs it has to take precedence + if not existing_socket_info["is_mandatory"]: + aggregated_inputs[socket_name]["is_mandatory"] = socket_info["is_mandatory"] + else: + aggregated_inputs[socket_name] = socket_info + + + return aggregated_inputs + + def _set_input_types(self, aggregated_inputs: Dict[str, Dict[str, Any]]) -> None: + """ + Sets the components input types. + + :param aggregated_inputs: The input types to set. + """ + for input_name, info in aggregated_inputs.items(): + if info["is_mandatory"]: + component.set_input_type(self, input_name, info["type"]) + else: + component.set_input_type(self, input_name, info["type"], default=_delegate_default) + + def _resolve_output_types(self) -> Dict[str, Any]: + """ + Resolve output types based on pipeline outputs and mapping. + + :return: Dictionary mapping wrapper output names to their types + :raises InvalidMappingError: If mapping is invalid or output conflicts exist + """ + pipeline_outputs = self.pipeline.outputs(include_components_with_connected_outputs=False) + + if output_mapping := self.output_mapping or self.pipeline.metadata.get("output_mapping"): + return self._handle_explicit_output_mapping(pipeline_outputs, output_mapping) + else: + return self._handle_auto_output_mapping(pipeline_outputs) + + def _handle_explicit_output_mapping( + self, pipeline_outputs: Dict[str, Dict[str, Any]], output_mapping: Dict[str, str] + ) -> Dict[str, Any]: + """ + Handle case where explicit output mapping is provided. + + :param pipeline_outputs: Dictionary of pipeline output specifications + :param output_mapping: Mapping from pipeline paths to wrapper output names + :return: Dictionary of resolved output types + :raises InvalidMappingError: If mapping is invalid + """ + resolved_outputs = {} + for pipeline_output_path, wrapper_output_name in output_mapping.items(): + comp_name, socket_name = self._split_component_path(pipeline_output_path) + + if comp_name not in pipeline_outputs: + raise InvalidMappingError(f"Component '{comp_name}' not found among pipeline outputs.") + if socket_name not in pipeline_outputs[comp_name]: + raise InvalidMappingError(f"Output socket '{socket_name}' not found in component '{comp_name}'.") + if wrapper_output_name in resolved_outputs: + raise InvalidMappingError(f"Duplicate wrapper output name '{wrapper_output_name}' in output_mapping.") + + resolved_outputs[wrapper_output_name] = pipeline_outputs[comp_name][socket_name]["type"] + + return resolved_outputs + + @staticmethod + def _handle_auto_output_mapping(pipeline_outputs: Dict[str, Dict[str, Any]]) -> Dict[str, Any]: + """ + Handle case where output mapping should be auto-detected. + + :param pipeline_outputs: Dictionary of pipeline output specifications + :return: Dictionary of resolved output types + :raises InvalidMappingError: If output conflicts exist + """ + resolved_outputs = {} + used_output_names: set[str] = set() + + for outputs_dict in pipeline_outputs.values(): + for socket_name, socket_info in outputs_dict.items(): + if socket_name in used_output_names: + raise InvalidMappingError( + f"Output name conflict: '{socket_name}' is produced by multiple components. " + "Please provide an output_mapping to disambiguate." + ) + resolved_outputs[socket_name] = socket_info["type"] + used_output_names.add(socket_name) + + return resolved_outputs + + def _prepare_pipeline_inputs(self, inputs: Dict[str, Any]) -> Dict[str, Dict[str, Any]]: + """ + Prepare inputs for pipeline execution. + + :param inputs: Input arguments provided to wrapper + :return: Dictionary of pipeline inputs in required format + """ + # We delegate defaults to the existing default values of the components in the pipeline. + filtered_inputs = {param: value for param, value in inputs.items() if value != _delegate_default } + if input_mapping := self.input_mapping or self.pipeline.metadata.get("input_mapping"): + return self._map_explicit_inputs(input_mapping=input_mapping, inputs=filtered_inputs) + else: + return self._map_auto_inputs(filtered_inputs) + + def _map_explicit_inputs( + self, input_mapping: Dict[str, List[str]], inputs: Dict[str, Any] + ) -> Dict[str, Dict[str, Any]]: + """ + Map inputs according to explicit input mapping. + + :param input_mapping: Mapping configuration for inputs + :param inputs: Input arguments provided to wrapper + :return: Dictionary of mapped pipeline inputs + """ + pipeline_inputs: Dict[str, Dict[str, Any]] = {} + for wrapper_input_name, pipeline_input_paths in input_mapping.items(): + if wrapper_input_name not in inputs: + continue + + if not isinstance(pipeline_input_paths, list): + pipeline_input_paths = [pipeline_input_paths] + + for socket_path in pipeline_input_paths: + comp_name, input_name = self._split_component_path(socket_path) + if comp_name not in pipeline_inputs: + pipeline_inputs[comp_name] = {} + pipeline_inputs[comp_name][input_name] = inputs[wrapper_input_name] + + return pipeline_inputs + + def _map_auto_inputs(self, inputs: Dict[str, Any]) -> Dict[str, Dict[str, Any]]: + """ + Map inputs automatically based on matching names. + + :param inputs: Input arguments provided to wrapper + :return: Dictionary of mapped pipeline inputs + """ + pipeline_inputs: Dict[str, Dict[str, Any]] = {} + pipeline_decl_inputs = self.pipeline.inputs(include_components_with_connected_inputs=False) + + for comp_name, inputs_dict in pipeline_decl_inputs.items(): + for socket_name in inputs_dict.keys(): + if socket_name in inputs: + pipeline_inputs.setdefault(comp_name, {})[socket_name] = inputs[socket_name] + + return pipeline_inputs + + def _process_pipeline_outputs(self, pipeline_outputs: Dict[str, Dict[str, Any]]) -> Dict[str, Any]: + """ + Process outputs from pipeline execution. + + :param pipeline_outputs: Raw outputs from pipeline execution + :return: Dictionary of processed outputs + :raises InvalidMappingError: If output conflicts occur during auto-mapping + """ + if output_mapping := self.output_mapping or self.pipeline.metadata.get("output_mapping"): + return self._map_explicit_outputs(pipeline_outputs, output_mapping) + else: + return self._map_auto_outputs(pipeline_outputs) + + def _map_explicit_outputs( + self, pipeline_outputs: Dict[str, Dict[str, Any]], output_mapping: Dict[str, str] + ) -> Dict[str, Any]: + """ + Map outputs according to explicit output mapping. + + :param pipeline_outputs: Raw outputs from pipeline execution + :param output_mapping: Output mapping configuration + :return: Dictionary of mapped outputs + """ + outputs: Dict[str, Any] = {} + for pipeline_output_path, wrapper_output_name in output_mapping.items(): + comp_name, socket_name = self._split_component_path(pipeline_output_path) + if comp_name in pipeline_outputs and socket_name in pipeline_outputs[comp_name]: + outputs[wrapper_output_name] = pipeline_outputs[comp_name][socket_name] + return outputs + + @staticmethod + def _map_auto_outputs(pipeline_outputs: Dict[str, Dict[str, Any]]) -> Dict[str, Any]: + """ + Map outputs automatically based on matching names. + + :param pipeline_outputs: Raw outputs from pipeline execution + :return: Dictionary of mapped outputs + :raises InvalidMappingError: If output conflicts occur during auto-mapping + """ + outputs: Dict[str, Any] = {} + seen: set[str] = set() + + for comp_output_dict in pipeline_outputs.values(): + for socket_name, value in comp_output_dict.items(): + if socket_name in seen: + raise InvalidMappingError( + f"Output conflict: output '{socket_name}' is produced by multiple components. " + "Please provide an output_mapping to disambiguate." + ) + outputs[socket_name] = value + seen.add(socket_name) + + return outputs + + def _to_super_component_dict(self) -> Dict[str, Any]: + """ + Convert to a SuperComponent dictionary representation. + + :return: Dictionary containing serialized SuperComponent data + """ + serialized_pipeline = self.pipeline.to_dict() + serialized = default_to_dict( + self, + pipeline=serialized_pipeline, + input_mapping=self.input_mapping, output_mapping=self.output_mapping + ) + serialized["type"] = "haystack_experimental.core.super_component.super_component.SuperComponent" + return serialized diff --git a/test/core/super_component/test_super_component.py b/test/core/super_component/test_super_component.py index 4ce96336..fc26e28c 100644 --- a/test/core/super_component/test_super_component.py +++ b/test/core/super_component/test_super_component.py @@ -13,6 +13,7 @@ from haystack.document_stores.in_memory import InMemoryDocumentStore from haystack.document_stores.types import DuplicatePolicy from haystack.utils.auth import Secret +from haystack.core.serialization import default_from_dict, default_to_dict from haystack_experimental import SuperComponent @@ -158,3 +159,34 @@ def test_wrapper_serialization(self, document_store): result = deserialized.run(query="What is the capital of France?") assert "documents" in result assert result["documents"][0].content == "Paris is the capital of France." + + def test_subclass_serialization(self, rag_pipeline): + super_component = SuperComponent(rag_pipeline) + serialized = super_component.to_dict() + + @component + class CustomSuperComponent(SuperComponent): + def __init__(self, pipeline, instance_attribute="test"): + self.instance_attribute = instance_attribute + super(CustomSuperComponent, self).__init__(pipeline) + + def to_dict(self): + return default_to_dict( + self, + instance_attribute=self.instance_attribute, + pipeline=self.pipeline.to_dict() + ) + + @classmethod + def from_dict(cls, data): + data["init_parameters"]["pipeline"] = Pipeline.from_dict(data["init_parameters"]["pipeline"]) + return default_from_dict(cls, data) + + custom_super_component = CustomSuperComponent(rag_pipeline) + custom_serialized = custom_super_component.to_dict() + + assert custom_serialized["type"] == "test_super_component.CustomSuperComponent" + + assert custom_super_component._to_super_component_dict() == serialized + + From 5ce83ca09d31c2ad9a717d3dc405b730de42de57 Mon Sep 17 00:00:00 2001 From: mathislucka Date: Thu, 6 Feb 2025 11:04:09 +0100 Subject: [PATCH 20/37] fix: format --- examples/tracing_pipeline_runs/compare_traces.py | 9 +++++++++ examples/tracing_pipeline_runs/generate_traces.py | 9 +++++++++ 2 files changed, 18 insertions(+) diff --git a/examples/tracing_pipeline_runs/compare_traces.py b/examples/tracing_pipeline_runs/compare_traces.py index 0ffef8f6..cbf6b235 100644 --- a/examples/tracing_pipeline_runs/compare_traces.py +++ b/examples/tracing_pipeline_runs/compare_traces.py @@ -15,6 +15,9 @@ class Component: output_parsed: any def parse_structured_data(data_str: str) -> any: + """ + Utility function to parse a string as Python literal. + """ try: # evaluate the string as a Python literal return ast.literal_eval(data_str) @@ -22,6 +25,9 @@ def parse_structured_data(data_str: str) -> any: return data_str def parse_log_file(file_path: str) -> List[Component]: + """ + Reads haystack traces from a logfile. + """ components = [] current_component = {} @@ -117,6 +123,9 @@ def compare_traces(file1: str, file2: str) -> bool: return True def main(): + """ + Main execution routine to compare pipeline traces. + """ parser = argparse.ArgumentParser(description='Compare component execution order between two trace files') parser.add_argument('file1', help='Path to the first trace file') parser.add_argument('file2', help='Path to the second trace file') diff --git a/examples/tracing_pipeline_runs/generate_traces.py b/examples/tracing_pipeline_runs/generate_traces.py index e91af1c9..2ebbbcbd 100644 --- a/examples/tracing_pipeline_runs/generate_traces.py +++ b/examples/tracing_pipeline_runs/generate_traces.py @@ -15,6 +15,9 @@ tracing.enable_tracing(LoggingTracer()) # enable the custom tracer def change_log_file(logger, new_log_file): + """ + Use to rotate the log file. + """ for handler in logger.handlers: if isinstance(handler, logging.FileHandler): handler.close() @@ -26,6 +29,9 @@ def change_log_file(logger, new_log_file): logger.addHandler(new_file_handler) def run_pipeline(pipeline_run, yam_pipeline_file_location, new=True): + """ + Runs a pipeline loaded from yaml. + """ with open(yam_pipeline_file_location, "r") as f_in: if new: pipeline = NewPipeline.loads(f_in) @@ -43,6 +49,9 @@ def run_pipeline(pipeline_run, yam_pipeline_file_location, new=True): log_file.write(f"{pipeline_type} execution time: {execution_time:.4f} seconds\n") def main(): + """ + Main execution routine to generate pipeline traces. + """ parser = argparse.ArgumentParser(description='Run pipeline comparison with configurable inputs') parser.add_argument('--pipeline-file', type=str, required=True, help='Path to the YAML pipeline file') From a6fca3612123a635e91f2ec4bea64dba11255592 Mon Sep 17 00:00:00 2001 From: mathislucka Date: Thu, 6 Feb 2025 12:52:57 +0100 Subject: [PATCH 21/37] fix: SuperComponent is a component --- haystack_experimental/core/super_component/super_component.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/haystack_experimental/core/super_component/super_component.py b/haystack_experimental/core/super_component/super_component.py index 517cd34d..2e6d935c 100644 --- a/haystack_experimental/core/super_component/super_component.py +++ b/haystack_experimental/core/super_component/super_component.py @@ -16,7 +16,7 @@ class InvalidMappingError(Exception): pass - +@component class SuperComponent: """ A class for creating super components that wrap around a Pipeline. From eac0142a0675806ec7d56756b15e8a6930942389 Mon Sep 17 00:00:00 2001 From: mathislucka Date: Thu, 6 Feb 2025 18:10:56 +0100 Subject: [PATCH 22/37] test: MultiFileConverter --- .../super_components/__init__.py | 0 .../super_components/converters/__init__.py | 4 +- ...e_converter.py => multi_file_converter.py} | 84 +- .../indexers/document_indexer.py | 4 +- test/super_components/converters/__init__.py | 0 .../converters/test_multi_file_converter.py | 129 ++ test/test_files/csv/sample_1.csv | 4 + test/test_files/docx/sample_docx.docx | Bin 0 -> 13232 bytes test/test_files/html/what_is_haystack.html | 1634 +++++++++++++++++ .../json/json_conversion_testfile.json | 1 + test/test_files/markdown/sample.md | 65 + test/test_files/pdf/sample_pdf_1.pdf | Bin 0 -> 44524 bytes test/test_files/pptx/sample_pptx.pptx | Bin 0 -> 431042 bytes test/test_files/txt/doc_1.txt | 2 + .../xlsx/table_empty_rows_and_columns.xlsx | Bin 0 -> 4743 bytes 15 files changed, 1853 insertions(+), 74 deletions(-) create mode 100644 haystack_experimental/super_components/__init__.py rename haystack_experimental/super_components/converters/{file_converter.py => multi_file_converter.py} (57%) create mode 100644 test/super_components/converters/__init__.py create mode 100644 test/super_components/converters/test_multi_file_converter.py create mode 100644 test/test_files/csv/sample_1.csv create mode 100644 test/test_files/docx/sample_docx.docx create mode 100644 test/test_files/html/what_is_haystack.html create mode 100644 test/test_files/json/json_conversion_testfile.json create mode 100644 test/test_files/markdown/sample.md create mode 100644 test/test_files/pdf/sample_pdf_1.pdf create mode 100644 test/test_files/pptx/sample_pptx.pptx create mode 100644 test/test_files/txt/doc_1.txt create mode 100644 test/test_files/xlsx/table_empty_rows_and_columns.xlsx diff --git a/haystack_experimental/super_components/__init__.py b/haystack_experimental/super_components/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/haystack_experimental/super_components/converters/__init__.py b/haystack_experimental/super_components/converters/__init__.py index 3a4100bf..98f47a14 100644 --- a/haystack_experimental/super_components/converters/__init__.py +++ b/haystack_experimental/super_components/converters/__init__.py @@ -2,6 +2,6 @@ # # SPDX-License-Identifier: Apache-2.0 -from haystack_experimental.super_components.converters.file_converter import AutoFileConverter +from haystack_experimental.super_components.converters.multi_file_converter import MultiFileConverter -_all_ = ["AutoFileConverter"] \ No newline at end of file +_all_ = ["MultiFileConverter"] \ No newline at end of file diff --git a/haystack_experimental/super_components/converters/file_converter.py b/haystack_experimental/super_components/converters/multi_file_converter.py similarity index 57% rename from haystack_experimental/super_components/converters/file_converter.py rename to haystack_experimental/super_components/converters/multi_file_converter.py index 402402d4..c3512f9a 100644 --- a/haystack_experimental/super_components/converters/file_converter.py +++ b/haystack_experimental/super_components/converters/multi_file_converter.py @@ -3,7 +3,7 @@ # SPDX-License-Identifier: Apache-2.0 from enum import Enum -from typing import Any, Callable, Dict, List, Literal, Optional +from typing import Any, Dict from haystack import Pipeline, component, default_from_dict, default_to_dict from haystack.components.converters import ( @@ -18,11 +18,9 @@ XLSXToDocument, ) from haystack.components.joiners import DocumentJoiner -from haystack.components.preprocessors.document_splitter import DocumentSplitter, Language from haystack.components.routers import FileTypeRouter -from haystack.utils import deserialize_callable, serialize_callable -from haystack_experimental.core.super_component import SuperComponentBase +from haystack_experimental.core.super_component import SuperComponent class ConverterMimeType(str, Enum): @@ -38,11 +36,11 @@ class ConverterMimeType(str, Enum): @component -class AutoFileConverter(SuperComponentBase): +class MultiFileConverter(SuperComponent): """ - A file converter that handles multiple file types and their pre-processing. + A file converter that handles conversion of multiple file types. - The AutoFileConverter handles the following file types: + The MultiFileConverter handles the following file types: - CSV - DOCX - HTML @@ -53,39 +51,18 @@ class AutoFileConverter(SuperComponentBase): - PPTX - XLSX - It splits all non-tabular data into Documents as specified by the splitting parameters. - Tabular data (CSV & XLSX) is returned without splitting. - Usage: ``` - converter = AutoFileConverter() + converter = MultiFileConverter() converter.run(sources=["test.txt", "test.pdf"], meta={}) ``` """ def __init__( # noqa: PLR0915 self, - split_by: Literal["function", "page", "passage", "period", "word", "line", "sentence"] = "word", - split_length: int = 250, - split_overlap: int = 30, - split_threshold: int = 0, - splitting_function: Optional[Callable[[str], List[str]]] = None, - respect_sentence_boundary: bool = True, - language: Language = "en", - use_split_rules: bool = True, - extend_abbreviations: bool = True, encoding: str = "utf-8", json_content_key: str = "content", ) -> None: - self.split_by = split_by - self.split_length = split_length - self.split_overlap = split_overlap - self.split_threshold = split_threshold - self.splitting_function = splitting_function - self.respect_sentence_boundary = respect_sentence_boundary - self.language = language - self.use_split_rules = use_split_rules - self.extend_abbreviations = extend_abbreviations self.encoding = encoding self.json_content_key = json_content_key @@ -115,19 +92,8 @@ def __init__( # noqa: PLR0915 xlsx = XLSXToDocument() joiner = DocumentJoiner() - tabular_joiner = DocumentJoiner() - - splitter = DocumentSplitter( - split_by=self.split_by, - split_length=self.split_length, - split_overlap=self.split_overlap, - split_threshold=self.split_threshold, - splitting_function=self.splitting_function, - respect_sentence_boundary=self.respect_sentence_boundary, - language=self.language, - use_split_rules=self.use_split_rules, - extend_abbreviations=self.extend_abbreviations, - ) + + # Create pipeline and add components pp = Pipeline() @@ -143,11 +109,9 @@ def __init__( # noqa: PLR0915 pp.add_component("pptx", pptx) pp.add_component("xlsx", xlsx) pp.add_component("joiner", joiner) - pp.add_component("splitter", splitter) - pp.add_component("tabular_joiner", tabular_joiner) pp.add_component("csv", csv) - + pp.connect(f"router.{ConverterMimeType.CSV.value}", "csv") pp.connect(f"router.{ConverterMimeType.DOCX.value}", "docx") pp.connect(f"router.{ConverterMimeType.HTML.value}", "html") pp.connect(f"router.{ConverterMimeType.JSON.value}", "json") @@ -157,8 +121,6 @@ def __init__( # noqa: PLR0915 pp.connect(f"router.{ConverterMimeType.PPTX.value}", "pptx") pp.connect(f"router.{ConverterMimeType.XLSX.value}", "xlsx") - pp.connect("joiner.documents", "splitter.documents") - pp.connect("splitter.documents", "tabular_joiner.documents") pp.connect("docx.documents", "joiner.documents") pp.connect("html.documents", "joiner.documents") pp.connect("json.documents", "joiner.documents") @@ -167,18 +129,17 @@ def __init__( # noqa: PLR0915 pp.connect("pdf.documents", "joiner.documents") pp.connect("pptx.documents", "joiner.documents") - pp.connect("csv.documents", "tabular_joiner.documents") - pp.connect("xlsx.documents", "tabular_joiner.documents") - pp.connect(f"router.{ConverterMimeType.CSV.value}", "csv") + pp.connect("csv.documents", "joiner.documents") + pp.connect("xlsx.documents", "joiner.documents") - output_mapping = {"tabular_joiner.documents": "documents"} + output_mapping = {"joiner.documents": "documents"} input_mapping = { "sources": ["router.sources"], "meta": ["router.meta"] } - super(AutoFileConverter, self).__init__( + super(MultiFileConverter, self).__init__( pipeline=pp, output_mapping=output_mapping, input_mapping=input_mapping @@ -188,32 +149,15 @@ def to_dict(self) -> Dict[str, Any]: """ Serialize this instance to a dictionary. """ - if self.splitting_function is not None: - splitting_function = serialize_callable(self.splitting_function) - else: - splitting_function = self.splitting_function - return default_to_dict( self, - split_by=self.split_by, - split_length=self.split_length, - split_overlap=self.split_overlap, - split_threshold=self.split_threshold, - splitting_function=splitting_function, - respect_sentence_boundary=self.respect_sentence_boundary, - language=self.language, - use_split_rules=self.use_split_rules, - extend_abbreviations=self.extend_abbreviations, encoding=self.encoding, json_content_key=self.json_content_key, ) @classmethod - def from_dict(cls, data: Dict[str, Any]) -> "AutoFileConverter": + def from_dict(cls, data: Dict[str, Any]) -> "MultiFileConverter": """ Load this instance from a dictionary. """ - if splitting_function := data["init_parameters"].get("splitting_function"): - data["init_parameters"]["splitting_function"] = deserialize_callable(splitting_function) - return default_from_dict(cls, data) diff --git a/haystack_experimental/super_components/indexers/document_indexer.py b/haystack_experimental/super_components/indexers/document_indexer.py index 9bb8b921..acf93c7d 100644 --- a/haystack_experimental/super_components/indexers/document_indexer.py +++ b/haystack_experimental/super_components/indexers/document_indexer.py @@ -10,13 +10,13 @@ from haystack.document_stores.in_memory import InMemoryDocumentStore from haystack.document_stores.types import DuplicatePolicy -from haystack_experimental.core.super_component import SuperComponentBase +from haystack_experimental.core.super_component import SuperComponent DEFAULT_EMBEDDING_MODEL = "sentence-transformers/all-mpnet-base-v2" @component -class DocumentIndexer(SuperComponentBase): +class DocumentIndexer(SuperComponent): """ A document indexer that takes a list of documents and indexes them using the specified model. diff --git a/test/super_components/converters/__init__.py b/test/super_components/converters/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/test/super_components/converters/test_multi_file_converter.py b/test/super_components/converters/test_multi_file_converter.py new file mode 100644 index 00000000..0b9dc32f --- /dev/null +++ b/test/super_components/converters/test_multi_file_converter.py @@ -0,0 +1,129 @@ +import pytest +from pathlib import Path +from unittest.mock import Mock, patch + +from haystack import Document +from haystack.dataclasses import ByteStream +from haystack_experimental.core.super_component import SuperComponent +from haystack_experimental.super_components.converters.multi_file_converter import MultiFileConverter + +@pytest.fixture +def converter(): + return MultiFileConverter() + + +class TestMultiFileConverter: + def test_init_default_params(self, converter): + """Test initialization with default parameters""" + assert converter.encoding == "utf-8" + assert converter.json_content_key == "content" + assert isinstance(converter, SuperComponent) + + def test_init_custom_params(self, converter): + """Test initialization with custom parameters""" + converter = MultiFileConverter( + encoding="latin-1", + json_content_key="text" + ) + assert converter.encoding == "latin-1" + assert converter.json_content_key == "text" + + def test_to_dict(self, converter): + """Test serialization to dictionary""" + data = converter.to_dict() + assert data == { + "type": "haystack_experimental.super_components.converters.multi_file_converter.MultiFileConverter", + "init_parameters": { + "encoding": "utf-8", + "json_content_key": "content" + } + } + + def test_from_dict(self): + """Test deserialization from dictionary""" + data = { + "type": "haystack_experimental.super_components.converters.multi_file_converter.MultiFileConverter", + "init_parameters": { + "encoding": "latin-1", + "json_content_key": "text" + } + } + conv = MultiFileConverter.from_dict(data) + assert conv.encoding == "latin-1" + assert conv.json_content_key == "text" + + @pytest.mark.parametrize( + "suffix,file_path", + [ + ("csv", "csv/sample_1.csv"), + ("docx", "docx/sample_docx.docx"), + ("html", "html/what_is_haystack.html"), + ("json", "json/json_conversion_testfile.json"), + ("md", "markdown/sample.md"), + ("pdf", "pdf/sample_pdf_1.pdf"), + ("pptx", "pptx/sample_pptx.pptx"), + ("txt", "txt/doc_1.txt"), + ("xlsx", "xlsx/table_empty_rows_and_columns.xlsx"), + ] + ) + @pytest.mark.integration + def test_run(self, test_files_path, converter, suffix, file_path): + paths = [test_files_path / file_path] + output = converter.run(sources=paths) + docs = output["documents"] + + assert len(docs) == 1 + assert isinstance(docs[0], Document) + assert docs[0].content is not None + assert docs[0].meta["file_path"].endswith(suffix) + + def test_run_with_meta(self, test_files_path, converter): + """Test conversion with metadata""" + paths = [test_files_path / "txt" / "doc_1.txt"] + meta = {"language": "en", "author": "test"} + output = converter.run(sources=paths, meta=meta) + docs = output["documents"] + assert docs[0].meta["language"] == "en" + assert docs[0].meta["author"] == "test" + + def test_run_with_bytestream(self, test_files_path, converter): + """Test converting ByteStream input""" + bytestream = ByteStream( + data=b"test content", + mime_type="text/plain", + meta={"file_path": "test.txt"} + ) + output = converter.run(sources=[bytestream]) + docs = output["documents"] + assert len(docs) == 1 + assert docs[0].content == "test content" + assert docs[0].meta["file_path"] == "test.txt" + + def test_run_error_handling(self, test_files_path, converter, caplog): + """Test error handling for non-existent files""" + paths = [test_files_path / "non_existent.txt"] + with caplog.at_level("WARNING"): + output = converter.run(sources=paths) + assert "Could not read" in caplog.text + assert len(output["documents"]) == 0 + + @pytest.mark.integration + def test_run_all_file_types(self, test_files_path, converter): + """Test converting all supported file types in parallel""" + paths = [ + test_files_path / "csv" / "sample_1.csv", + test_files_path / "docx" / "sample_docx.docx", + test_files_path / "html" / "what_is_haystack.html", + test_files_path / "json" / "json_conversion_testfile.json", + test_files_path / "markdown" / "sample.md", + test_files_path / "txt" / "doc_1.txt", + test_files_path / "pdf" / "sample_pdf_1.pdf", + test_files_path / "pptx" / "sample_pptx.pptx", + test_files_path / "xlsx" / "table_empty_rows_and_columns.xlsx" + ] + output = converter.run(sources=paths) + docs = output["documents"] + + # Verify we got a document for each file + assert len(docs) == len(paths) + assert all(isinstance(doc, 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--- /dev/null +++ b/test/test_files/html/what_is_haystack.html @@ -0,0 +1,1634 @@ + + + + + + + + + + What is Haystack? | Haystack + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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+ 🎃 We're participating in Hacktoberfest 2023! + + + + + +
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+

What is Haystack?

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Haystack is the open source Python framework by deepset for building custom apps with large language models (LLMs). It lets you quickly try out the latest models in natural language processing (NLP) while being flexible and easy to use. Our inspiring community of users and builders has helped shape Haystack into what it is today: a complete framework for building production-ready NLP apps.

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Building with Haystack

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Haystack offers comprehensive tooling for developing state-of-the-art NLP systems that use LLMs (such as GPT-4, Falcon and similar) and Transformer models . With Haystack, you can effortlessly experiment with various models hosted on platforms like Hugging Face, OpenAI, Cohere, or even models deployed on SageMaker and your local models to find the perfect fit for your use case.

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Some examples of what you can build include:

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  • Semantic search on a large collection of documents in any language
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  • Generative question answering on a knowledge base containing mixed types of information: images, text, and tables.
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  • Natural language chatbots powered by cutting-edge generative models like GPT-4
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  • An LLM-based Haystack Agent capable of resolving complex queries
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  • Information extraction from documents to populate your database or build a knowledge graph
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This is just a small subset of the kinds of systems that can be created in Haystack.

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Functionality for all stages of an NLP project

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A successful NLP project requires more than just the language models. As an end-to-end framework, Haystack assists you in building your system every step of the way, offering tooling for each stage of the NLP project life cycle:

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But that’s not all: +metadata filtering, +model distillation, or the prompt hub, whatever your NLP heart desires, you’re likely to find it in Haystack. And if not? We’ll build it together.

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Building blocks

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Haystack uses a few simple but effective concepts to help you build fully functional and customized end-to-end NLP systems.

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Components

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At the core of Haystack are its components—fundamental building blocks that can perform tasks like document retrieval, text generation, or summarization. A single component is already quite powerful. It can manage local language models or communicate with a hosted model through an API.

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While Haystack offers a bunch of components you can use out of the box, it also lets you create your own custom components. Explore the +collection of integrations that includes custom components developed by our community, which you can freely use.

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You can chain components together to build pipelines, which are the foundation of the NLP app architecture in Haystack.

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Pipelines

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Pipelines are powerful structures made up of components, such as a Retriever and Reader, connected to infrastructure building blocks, such as a DocumentStore (for example, Elasticsearch or Weaviate) to form complex systems.

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Haystack offers ready-made pipelines for most common tasks, such as question answering, document retrieval, or summarization. But it’s just as easy to design and create a custom pipeline for NLP scenarios that are way more complex than question answering.

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Agents

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The Haystack Agent makes use of a large language model to resolve complex tasks. When initializing the Agent, you give it a set of tools, which can be pipeline components or whole pipelines. The Agent can use to those tools iteratively to arrive at an answer. When given a query, the Agent determines which tools are useful to answer this query and calls them in a loop until it gets the answer. This way, it can achieve much more than extractive or generative question answering pipelines.

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Who’s it for?

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Haystack is for everyone looking to build natural language apps—NLP enthusiasts and newbies alike. You don’t need to understand how the models work under the hood. With Haystack’s modular and flexible components, pipelines, and agents, all you need is some basic knowledge of Python to dive right in.

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Our community

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At the heart of Haystack is the vibrant open source community that thrives on the diverse backgrounds and skill sets of its members. We value collaboration greatly and encourage our users to shape Haystack actively through GitHub contributions. Our Discord channel is a space where community members can connect, seek help, and learn from each other.

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We also organize live online and in-person events, webinars, and office hours, which are an opportunity to learn and grow.

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Enter the Haystack universe

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+ Building a semantic layer for the modern tech stack — driven by the + latest NLP and open source. +

+ + + + + + + + © 2023 deepset GmbH. All rights reserved. +
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+ + + + + + + + + + + + + + + + + + + + + + diff --git a/test/test_files/json/json_conversion_testfile.json b/test/test_files/json/json_conversion_testfile.json new file mode 100644 index 00000000..04620d3a --- /dev/null +++ b/test/test_files/json/json_conversion_testfile.json @@ -0,0 +1 @@ +{"content": "Content from a json file"} \ No newline at end of file diff --git a/test/test_files/markdown/sample.md b/test/test_files/markdown/sample.md new file mode 100644 index 00000000..d39e32d4 --- /dev/null +++ b/test/test_files/markdown/sample.md @@ -0,0 +1,65 @@ +--- +type: intro +date: 1.1.2023 +--- +```bash +pip install farm-haystack +``` +## What to build with Haystack + +- **Ask questions in natural language** and find granular answers in your own documents. +- Perform **semantic search** and retrieve documents according to meaning not keywords +- Use **off-the-shelf models** or **fine-tune** them to your own domain. +- Use **user feedback** to evaluate, benchmark and continuously improve your live models. +- Leverage existing **knowledge bases** and better handle the long tail of queries that **chatbots** receive. +- **Automate processes** by automatically applying a list of questions to new documents and using the extracted answers. + +![Logo](https://raw.githubusercontent.com/deepset-ai/haystack/main/docs/img/logo.png) + + +## Core Features + +- **Latest models**: Utilize all latest transformer based models (e.g. BERT, RoBERTa, MiniLM) for extractive QA, generative QA and document retrieval. +- **Modular**: Multiple choices to fit your tech stack and use case. Pick your favorite database, file converter or modeling framework. +- **Open**: 100% compatible with HuggingFace's model hub. Tight interfaces to other frameworks (e.g. Transformers, FARM, sentence-transformers) +- **Scalable**: Scale to millions of docs via retrievers, production-ready backends like Elasticsearch / FAISS and a fastAPI REST API +- **End-to-End**: All tooling in one place: file conversion, cleaning, splitting, training, eval, inference, labeling ... +- **Developer friendly**: Easy to debug, extend and modify. +- **Customizable**: Fine-tune models to your own domain or implement your custom DocumentStore. +- **Continuous Learning**: Collect new training data via user feedback in production & improve your models continuously + +| | | +|-|-| +| :ledger: [Docs](https://haystack.deepset.ai/overview/intro) | Usage, Guides, API documentation ...| +| :beginner: [Quick Demo](https://github.com/deepset-ai/haystack/#quick-demo) | Quickly see what Haystack offers | +| :floppy_disk: [Installation](https://github.com/deepset-ai/haystack/#installation) | How to install Haystack | +| :art: [Key Components](https://github.com/deepset-ai/haystack/#key-components) | Overview of core concepts | +| :mortar_board: [Tutorials](https://github.com/deepset-ai/haystack/#tutorials) | Jupyter/Colab Notebooks & Scripts | +| :eyes: [How to use Haystack](https://github.com/deepset-ai/haystack/#how-to-use-haystack) | Basic explanation of concepts, options and usage | +| :heart: [Contributing](https://github.com/deepset-ai/haystack/#heart-contributing) | We welcome all contributions! | +| :bar_chart: [Benchmarks](https://haystack.deepset.ai/benchmarks/v0.9.0) | Speed & Accuracy of Retriever, Readers and DocumentStores | +| :telescope: [Roadmap](https://haystack.deepset.ai/overview/roadmap) | Public roadmap of Haystack | +| :pray: [Slack](https://haystack.deepset.ai/community/join) | Join our community on Slack | +| :bird: [Twitter](https://twitter.com/deepset_ai) | Follow us on Twitter for news and updates | +| :newspaper: [Blog](https://medium.com/deepset-ai) | Read our articles on Medium | + + +## Quick Demo + +The quickest way to see what Haystack offers is to start a [Docker Compose](https://docs.docker.com/compose/) demo application: + +**1. Update/install Docker and Docker Compose, then launch Docker** + +``` + # apt-get update && apt-get install docker && apt-get install docker-compose + # service docker start +``` + +**2. Clone Haystack repository** + +``` + # git clone https://github.com/deepset-ai/haystack.git +``` + +### 2nd level headline for testing purposes +#### 3rd level headline for testing purposes diff --git a/test/test_files/pdf/sample_pdf_1.pdf b/test/test_files/pdf/sample_pdf_1.pdf new file mode 100644 index 0000000000000000000000000000000000000000..87259b897f83b462f521276bf32d210ea008bcd3 GIT binary patch literal 44524 zcmc$GbzGHO(>C4GEwSlPy1TnWx*O^4E-7g#=@5_(r5ou6>5}elkdM&k=zGq4&UxN{ zzMpRP-fORW*0pA?nR{kf8xmPTVJbRm1{jj|)uYwz569_4?O$LR0ki-sz1J|DoB$e0 zLrY_O69CiwkUW4!*wozK(Dwe>T-V-E&`{sXz!1RA4P$3-Yp81h;|yG+G4pno8QEi9 z`G6qQ1W5hsZ8;PO@iOr?;0yb9i=}rzH!I4*w@s|N8OI%W^E2g76H&&CtfuR}0xL3uvFHwkz|K`M)rS z>Q_jpcZqr=&!kX=kWzgtEYH>iuPnrw#)?8{t4bv$WKR^eVki63TtU6XI9T^Jn)H^d zpHYhE6Ra~tC524oT=2V^jTuL!8SI>Kp*{suh1B#=P{H%Y0YPaQJJ)E^uQ(^rtBTXH zWE*dd-!ZG2VMpTh`WPhFhq6&x^dOz2QD=QQ&P^-WpR$m@v3W{#>6{?tJG z;X2d^V?!&knD5zfMAIo7ylzE|OQw3Y2YoY@Js*WJO}$2J@zDrmWKb#tY+;CmWyhIK 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haystack_experimental/super_components/preprocessors/__init__.py create mode 100644 haystack_experimental/super_components/preprocessors/document_preprocessor.py diff --git a/haystack_experimental/super_components/preprocessors/__init__.py b/haystack_experimental/super_components/preprocessors/__init__.py new file mode 100644 index 00000000..d5e1db1b --- /dev/null +++ b/haystack_experimental/super_components/preprocessors/__init__.py @@ -0,0 +1,9 @@ +# SPDX-FileCopyrightText: 2022-present deepset GmbH +# +# SPDX-License-Identifier: Apache-2.0 + +from haystack_experimental.super_components.preprocessors.document_preprocessor import DocumentPreProcessor + +__all__ = [ + "DocumentPreProcessor", +] \ No newline at end of file diff --git a/haystack_experimental/super_components/preprocessors/document_preprocessor.py b/haystack_experimental/super_components/preprocessors/document_preprocessor.py new file mode 100644 index 00000000..b86f08dd --- /dev/null +++ b/haystack_experimental/super_components/preprocessors/document_preprocessor.py @@ -0,0 +1,170 @@ +# SPDX-FileCopyrightText: 2022-present deepset GmbH +# +# SPDX-License-Identifier: Apache-2.0 + +from typing import Any, Callable, Dict, List, Literal, Optional + +from haystack import Pipeline, Document, component, default_from_dict, default_to_dict +from haystack.utils import serialize_callable, deserialize_callable + +from haystack_experimental.core.super_component import SuperComponent + +from haystack.components.preprocessors.document_cleaner import DocumentCleaner +from haystack.components.preprocessors.document_splitter import DocumentSplitter, Language + + +@component +class DocumentPreProcessor(SuperComponent): + """ + A SuperComponent that cleans documents and then splits them. + + It composes a DocumentCleaner followed by a DocumentSplitter in a single pipeline. + """ + + def __init__( + self, + # --- DocumentCleaner arguments --- + remove_empty_lines: bool = True, + remove_extra_whitespaces: bool = True, + remove_repeated_substrings: bool = False, + keep_id: bool = False, + remove_substrings: Optional[List[str]] = None, + remove_regex: Optional[str] = None, + unicode_normalization: Optional[Literal["NFC", "NFKC", "NFD", "NFKD"]] = None, + ascii_only: bool = False, + # --- DocumentSplitter arguments --- + split_by: Literal["function", "page", "passage", "period", "word", "line", "sentence"] = "word", + split_length: int = 250, + split_overlap: int = 0, + split_threshold: int = 0, + splitting_function: Optional[Callable[[str], List[str]]] = None, + respect_sentence_boundary: bool = False, + language: Language = "en", + use_split_rules: bool = True, + extend_abbreviations: bool = True, + ) -> None: + """ + Initialize a DocumentPreProcessor that first cleans documents and then splits them. + + **Cleaner Params**: + :param remove_empty_lines: If `True`, removes empty lines. + :param remove_extra_whitespaces: If `True`, removes extra whitespaces. + :param remove_repeated_substrings: If `True`, remove repeated substrings like headers/footers across pages. + :param keep_id: If `True`, keeps the original document IDs. + :param remove_substrings: A list of strings to remove from the document content. + :param remove_regex: A regex pattern whose matches will be removed from the document content. + :param unicode_normalization: Unicode normalization form to apply to the text, e.g. `"NFC"`. + :param ascii_only: If `True`, convert text to ASCII only. + + **Splitter Params**: + :param split_by: The unit of splitting: "function", "page", "passage", "period", "word", "line", or "sentence". + :param split_length: The maximum number of units (words, lines, pages, etc.) in each split. + :param split_overlap: The number of overlapping units between consecutive splits. + :param split_threshold: The minimum number of units per split. If a split is smaller than this, it's merged with the previous split. + :param splitting_function: A custom function for splitting if `split_by="function"`. + :param respect_sentence_boundary: If `True`, splits by words but tries not to break inside a sentence. + :param language: Language used by the sentence tokenizer if `split_by="sentence"` or `respect_sentence_boundary=True`. + :param use_split_rules: Whether to apply additional splitting heuristics for the sentence splitter. + :param extend_abbreviations: Whether to extend the sentence splitter with curated abbreviations for certain languages. + """ + # Store arguments for serialization + self.remove_empty_lines = remove_empty_lines + self.remove_extra_whitespaces = remove_extra_whitespaces + self.remove_repeated_substrings = remove_repeated_substrings + self.keep_id = keep_id + self.remove_substrings = remove_substrings + self.remove_regex = remove_regex + self.unicode_normalization = unicode_normalization + self.ascii_only = ascii_only + + self.split_by = split_by + self.split_length = split_length + self.split_overlap = split_overlap + self.split_threshold = split_threshold + self.splitting_function = splitting_function + self.respect_sentence_boundary = respect_sentence_boundary + self.language = language + self.use_split_rules = use_split_rules + self.extend_abbreviations = extend_abbreviations + + # Instantiate sub-components + cleaner = DocumentCleaner( + remove_empty_lines=self.remove_empty_lines, + remove_extra_whitespaces=self.remove_extra_whitespaces, + remove_repeated_substrings=self.remove_repeated_substrings, + keep_id=self.keep_id, + remove_substrings=self.remove_substrings, + remove_regex=self.remove_regex, + unicode_normalization=self.unicode_normalization, + ascii_only=self.ascii_only, + ) + + splitter = DocumentSplitter( + split_by=self.split_by, + split_length=self.split_length, + split_overlap=self.split_overlap, + split_threshold=self.split_threshold, + splitting_function=self.splitting_function, + respect_sentence_boundary=self.respect_sentence_boundary, + language=self.language, + use_split_rules=self.use_split_rules, + extend_abbreviations=self.extend_abbreviations, + ) + + # Build the Pipeline + pp = Pipeline() + pp.add_component("cleaner", cleaner) + pp.add_component("splitter", splitter) + + # Connect the cleaner output to splitter + pp.connect("cleaner.documents", "splitter.documents") + + # Define how pipeline inputs/outputs map to sub-component inputs/outputs + input_mapping = { + # The pipeline input "documents" feeds into "cleaner.documents" + "documents": ["cleaner.documents"] + } + # The pipeline output "documents" comes from "splitter.documents" + output_mapping = {"splitter.documents": "documents"} + + # Initialize the SuperComponent + super(DocumentPreProcessor, self).__init__(pipeline=pp, input_mapping=input_mapping, output_mapping=output_mapping) + + def to_dict(self) -> Dict[str, Any]: + """ + Serialize this instance to a dictionary. + """ + data = default_to_dict( + self, + remove_empty_lines=self.remove_empty_lines, + remove_extra_whitespaces=self.remove_extra_whitespaces, + remove_repeated_substrings=self.remove_repeated_substrings, + keep_id=self.keep_id, + remove_substrings=self.remove_substrings, + remove_regex=self.remove_regex, + unicode_normalization=self.unicode_normalization, + ascii_only=self.ascii_only, + split_by=self.split_by, + split_length=self.split_length, + split_overlap=self.split_overlap, + split_threshold=self.split_threshold, + respect_sentence_boundary=self.respect_sentence_boundary, + language=self.language, + use_split_rules=self.use_split_rules, + extend_abbreviations=self.extend_abbreviations, + ) + + if self.splitting_function: + data["init_parameters"]["splitting_function"] = serialize_callable(self.splitting_function) + + return data + + @classmethod + def from_dict(cls, data: Dict[str, Any]) -> "DocumentPreProcessor": + """ + Load this instance from a dictionary. + """ + if "splitting_function" in data["init_parameters"]: + data["init_parameters"]["splitting_function"] = deserialize_callable(data["init_parameters"]["splitting_function"]) + + return default_from_dict(cls, data) From d92fe9ec7a2add88cced2b881b0b6640c6e761dc Mon Sep 17 00:00:00 2001 From: mathislucka Date: Tue, 11 Feb 2025 10:43:09 +0100 Subject: [PATCH 24/37] feat: update document indexer --- .../indexers/document_indexer.py | 137 +++++++++++++----- .../indexers/test_document_indexer.py | 54 +++++-- 2 files changed, 141 insertions(+), 50 deletions(-) diff --git a/haystack_experimental/super_components/indexers/document_indexer.py b/haystack_experimental/super_components/indexers/document_indexer.py index acf93c7d..ac4edb17 100644 --- a/haystack_experimental/super_components/indexers/document_indexer.py +++ b/haystack_experimental/super_components/indexers/document_indexer.py @@ -1,24 +1,19 @@ -# SPDX-FileCopyrightText: 2022-present deepset GmbH -# -# SPDX-License-Identifier: Apache-2.0 - -from typing import Any, Dict, List, Optional +from typing import Any, Dict, List, Optional, Literal from haystack import Pipeline, component, default_from_dict, default_to_dict from haystack.components.embedders import SentenceTransformersDocumentEmbedder from haystack.components.writers import DocumentWriter -from haystack.document_stores.in_memory import InMemoryDocumentStore -from haystack.document_stores.types import DuplicatePolicy - +from haystack.document_stores.types import DuplicatePolicy, DocumentStore +from haystack.utils import ComponentDevice, Secret, deserialize_secrets_inplace, deserialize_document_store_in_init_params_inplace +from haystack.utils.hf import deserialize_hf_model_kwargs, serialize_hf_model_kwargs from haystack_experimental.core.super_component import SuperComponent -DEFAULT_EMBEDDING_MODEL = "sentence-transformers/all-mpnet-base-v2" - @component class DocumentIndexer(SuperComponent): """ - A document indexer that takes a list of documents and indexes them using the specified model. + A document indexer that takes a list of documents, embeds them using SentenceTransformers, + and stores them in a document store. Usage: @@ -36,32 +31,65 @@ class DocumentIndexer(SuperComponent): """ def __init__( - self, - model: Optional[str] = None, - prefix: str = "", - suffix: str = "", - batch_size: int = 32, - embedding_separator: str = "\n", - meta_fields_to_embed: Optional[List[str]] = None, - duplicate_policy: DuplicatePolicy = DuplicatePolicy.OVERWRITE, + self, + document_store: DocumentStore, + model: str = "sentence-transformers/all-mpnet-base-v2", + device: Optional[ComponentDevice] = None, + token: Optional[Secret] = Secret.from_env_var(["HF_API_TOKEN", "HF_TOKEN"], strict=False), + prefix: str = "", + suffix: str = "", + batch_size: int = 32, + progress_bar: bool = True, + normalize_embeddings: bool = False, + meta_fields_to_embed: Optional[List[str]] = None, + embedding_separator: str = "\n", + trust_remote_code: bool = False, + truncate_dim: Optional[int] = None, + model_kwargs: Optional[Dict[str, Any]] = None, + tokenizer_kwargs: Optional[Dict[str, Any]] = None, + config_kwargs: Optional[Dict[str, Any]] = None, + precision: Literal["float32", "int8", "uint8", "binary", "ubinary"] = "float32", + duplicate_policy: DuplicatePolicy = DuplicatePolicy.OVERWRITE, ) -> None: """ Initialize the DocumentIndexer component. - :param model: The embedding model to use. - :param prefix: The prefix to add to the document content. - :param suffix: The suffix to add to the document content. - :param batch_size: The batch size to use for the embedding. - :param embedding_separator: The separator to use for the embedding. - :param meta_fields_to_embed: The meta fields to embed. - :param duplicate_policy: The duplicate policy to use. + :param document_store: The document store where the documents should be stored. + :param model: The embedding model to use (local path or Hugging Face model ID). + :param device: The device to use for loading the model. + :param token: The API token to download private models from Hugging Face. + :param prefix: String to add at the beginning of each document text. + :param suffix: String to add at the end of each document text. + :param batch_size: Number of documents to embed at once. + :param progress_bar: If True, shows a progress bar when embedding documents. + :param normalize_embeddings: If True, embeddings are L2 normalized. + :param meta_fields_to_embed: List of metadata fields to embed along with the document text. + :param embedding_separator: Separator used to concatenate metadata fields to document text. + :param trust_remote_code: If True, allows custom models and scripts. + :param truncate_dim: Dimension to truncate sentence embeddings to. + :param model_kwargs: Additional keyword arguments for model initialization. + :param tokenizer_kwargs: Additional keyword arguments for tokenizer initialization. + :param config_kwargs: Additional keyword arguments for model configuration. + :param precision: The precision to use for the embeddings. + :param duplicate_policy: The duplicate policy to use when writing documents. """ + self.document_store = document_store self.model = model + self.device = device + self.token = token self.prefix = prefix self.suffix = suffix self.batch_size = batch_size - self.embedding_separator = embedding_separator + self.progress_bar = progress_bar + self.normalize_embeddings = normalize_embeddings self.meta_fields_to_embed = meta_fields_to_embed + self.embedding_separator = embedding_separator + self.trust_remote_code = trust_remote_code + self.truncate_dim = truncate_dim + self.model_kwargs = model_kwargs + self.tokenizer_kwargs = tokenizer_kwargs + self.config_kwargs = config_kwargs + self.precision = precision self.duplicate_policy = duplicate_policy pipeline = Pipeline() @@ -69,18 +97,28 @@ def __init__( pipeline.add_component( "embedder", SentenceTransformersDocumentEmbedder( - model=self.model or DEFAULT_EMBEDDING_MODEL, + model=self.model, + device=self.device, + token=self.token, prefix=self.prefix, suffix=self.suffix, batch_size=self.batch_size, - embedding_separator=self.embedding_separator, + progress_bar=self.progress_bar, + normalize_embeddings=self.normalize_embeddings, meta_fields_to_embed=self.meta_fields_to_embed, + embedding_separator=self.embedding_separator, + trust_remote_code=self.trust_remote_code, + truncate_dim=self.truncate_dim, + model_kwargs=self.model_kwargs, + tokenizer_kwargs=self.tokenizer_kwargs, + config_kwargs=self.config_kwargs, + precision=self.precision, ), ) pipeline.add_component( "writer", DocumentWriter( - document_store=InMemoryDocumentStore(), + document_store=self.document_store, policy=self.duplicate_policy, ), ) @@ -97,28 +135,57 @@ def to_dict(self) -> Dict[str, Any]: """ Serialize this instance to a dictionary. """ - return default_to_dict( + serialization_dict = default_to_dict( self, + document_store=self.document_store.to_dict(), model=self.model, + device=self.device.to_dict() if self.device else None, + token=self.token.to_dict() if self.token else None, prefix=self.prefix, suffix=self.suffix, batch_size=self.batch_size, - embedding_separator=self.embedding_separator, + progress_bar=self.progress_bar, + normalize_embeddings=self.normalize_embeddings, meta_fields_to_embed=self.meta_fields_to_embed, + embedding_separator=self.embedding_separator, + trust_remote_code=self.trust_remote_code, + truncate_dim=self.truncate_dim, + model_kwargs=self.model_kwargs, + tokenizer_kwargs=self.tokenizer_kwargs, + config_kwargs=self.config_kwargs, + precision=self.precision, duplicate_policy=self.duplicate_policy.value, ) + if serialization_dict["init_parameters"].get("model_kwargs") is not None: + serialize_hf_model_kwargs(serialization_dict["init_parameters"]["model_kwargs"]) + + return serialization_dict + @classmethod def from_dict(cls, data: Dict[str, Any]) -> "DocumentIndexer": """ Load an instance of this component from a dictionary. """ + deserialize_document_store_in_init_params_inplace(data) init_params = data.get("init_parameters", {}) - # Deserialize policy + # Handle device deserialization + if init_params.get("device") is not None: + init_params["device"] = ComponentDevice.from_dict(init_params["device"]) + + # Handle secrets deserialization + deserialize_secrets_inplace(init_params, keys=["token"]) + + + + # Handle model kwargs deserialization + if init_params.get("model_kwargs") is not None: + deserialize_hf_model_kwargs(init_params["model_kwargs"]) + + # Handle duplicate policy deserialization if policy_value := init_params.get("duplicate_policy"): init_params["duplicate_policy"] = DuplicatePolicy(policy_value) data["init_parameters"] = init_params - - return default_from_dict(cls, data) + return default_from_dict(cls, data) \ No newline at end of file diff --git a/test/super_components/indexers/test_document_indexer.py b/test/super_components/indexers/test_document_indexer.py index b05dfe7e..8b6a9e2c 100644 --- a/test/super_components/indexers/test_document_indexer.py +++ b/test/super_components/indexers/test_document_indexer.py @@ -2,7 +2,7 @@ # # SPDX-License-Identifier: Apache-2.0 -from unittest.mock import Mock +from unittest.mock import Mock, ANY from uuid import UUID import pytest @@ -17,7 +17,7 @@ class TestDocumentIndexer: @pytest.fixture def indexer(self) -> DocumentIndexer: - return DocumentIndexer() + return DocumentIndexer(document_store=InMemoryDocumentStore()) @pytest.fixture def embedding_backend(self, indexer: DocumentIndexer, monkeypatch: pytest.MonkeyPatch) -> Mock: @@ -53,7 +53,16 @@ def test_from_dict(self) -> None: indexer = DocumentIndexer.from_dict( { "init_parameters": { - "model": None, + 'document_store': { + 'init_parameters': { + 'bm25_algorithm': 'BM25L', + 'bm25_parameters': {}, + 'bm25_tokenization_regex': '(?u)\\b\\w\\w+\\b', + 'embedding_similarity_function': 'dot_product', + 'index': '28f84766-11b7-4eac-bb75-3ee4e8d56958' + }, + 'type': 'haystack.document_stores.in_memory.document_store.InMemoryDocumentStore' + }, "prefix": "", "suffix": "", "batch_size": 32, @@ -67,18 +76,33 @@ def test_from_dict(self) -> None: assert isinstance(indexer, DocumentIndexer) def test_to_dict(self, indexer: DocumentIndexer) -> None: - expected = { - "init_parameters": { - "model": None, - "prefix": "", - "suffix": "", - "batch_size": 32, - "embedding_separator": "\n", - "meta_fields_to_embed": None, - "duplicate_policy": "overwrite", - }, - "type": "haystack_experimental.super_components.indexers.document_indexer.DocumentIndexer", - } + expected = {'init_parameters': {'batch_size': 32, + 'config_kwargs': None, + 'device': None, + 'document_store': {'init_parameters': {'bm25_algorithm': 'BM25L', + 'bm25_parameters': {}, + 'bm25_tokenization_regex': '(?u)\\b\\w\\w+\\b', + 'embedding_similarity_function': 'dot_product', + 'index': ANY}, + 'type': 'haystack.document_stores.in_memory.document_store.InMemoryDocumentStore'}, + 'duplicate_policy': 'overwrite', + 'embedding_separator': '\n', + 'meta_fields_to_embed': None, + 'model': 'sentence-transformers/all-mpnet-base-v2', + 'model_kwargs': None, + 'normalize_embeddings': False, + 'precision': 'float32', + 'prefix': '', + 'progress_bar': True, + 'suffix': '', + 'token': {'env_vars': ['HF_API_TOKEN', 'HF_TOKEN'], + 'strict': False, + 'type': 'env_var'}, + 'tokenizer_kwargs': None, + 'truncate_dim': None, + 'trust_remote_code': False}, + 'type': 'haystack_experimental.super_components.indexers.document_indexer.DocumentIndexer' + } assert indexer.to_dict() == expected def test_warm_up(self, indexer: DocumentIndexer, monkeypatch: pytest.MonkeyPatch) -> None: From 0aee13de5a503227e2fd076d0d062bf0d8fff2f9 Mon Sep 17 00:00:00 2001 From: mathislucka Date: Tue, 11 Feb 2025 10:43:17 +0100 Subject: [PATCH 25/37] feat: update notebook --- examples/sample_files/sample.md | 65 +++ examples/sample_files/sample_docx.docx | Bin 0 -> 13232 bytes examples/sample_files/sample_pdf_1.pdf | Bin 0 -> 44524 bytes examples/sample_files/sample_pptx.pptx | Bin 0 -> 431042 bytes examples/super_components.ipynb | 693 ++++++++++++------------- 5 files changed, 408 insertions(+), 350 deletions(-) create mode 100644 examples/sample_files/sample.md create mode 100644 examples/sample_files/sample_docx.docx create mode 100644 examples/sample_files/sample_pdf_1.pdf create mode 100644 examples/sample_files/sample_pptx.pptx diff --git a/examples/sample_files/sample.md b/examples/sample_files/sample.md new file mode 100644 index 00000000..d39e32d4 --- /dev/null +++ b/examples/sample_files/sample.md @@ -0,0 +1,65 @@ +--- +type: intro +date: 1.1.2023 +--- +```bash +pip install farm-haystack +``` +## What to build with Haystack + +- **Ask questions in natural language** and find granular answers in your own documents. +- Perform **semantic search** and retrieve documents according to meaning not keywords +- Use **off-the-shelf models** or **fine-tune** them to your own domain. +- Use **user feedback** to evaluate, benchmark and continuously improve your live models. +- Leverage existing **knowledge bases** and better handle the long tail of queries that **chatbots** receive. +- **Automate processes** by automatically applying a list of questions to new documents and using the extracted answers. + +![Logo](https://raw.githubusercontent.com/deepset-ai/haystack/main/docs/img/logo.png) + + +## Core Features + +- **Latest models**: Utilize all latest transformer based models (e.g. BERT, RoBERTa, MiniLM) for extractive QA, generative QA and document retrieval. +- **Modular**: Multiple choices to fit your tech stack and use case. Pick your favorite database, file converter or modeling framework. +- **Open**: 100% compatible with HuggingFace's model hub. Tight interfaces to other frameworks (e.g. Transformers, FARM, sentence-transformers) +- **Scalable**: Scale to millions of docs via retrievers, production-ready backends like Elasticsearch / FAISS and a fastAPI REST API +- **End-to-End**: All tooling in one place: file conversion, cleaning, splitting, training, eval, inference, labeling ... +- **Developer friendly**: Easy to debug, extend and modify. +- **Customizable**: Fine-tune models to your own domain or implement your custom DocumentStore. +- **Continuous Learning**: Collect new training data via user feedback in production & improve your models continuously + +| | | +|-|-| +| :ledger: [Docs](https://haystack.deepset.ai/overview/intro) | Usage, Guides, API documentation ...| +| :beginner: [Quick Demo](https://github.com/deepset-ai/haystack/#quick-demo) | Quickly see what Haystack offers | +| :floppy_disk: [Installation](https://github.com/deepset-ai/haystack/#installation) | How to install Haystack | +| :art: [Key Components](https://github.com/deepset-ai/haystack/#key-components) | Overview of core concepts | +| :mortar_board: [Tutorials](https://github.com/deepset-ai/haystack/#tutorials) | Jupyter/Colab Notebooks & Scripts | +| :eyes: [How to use Haystack](https://github.com/deepset-ai/haystack/#how-to-use-haystack) | Basic explanation of concepts, options and usage | +| :heart: [Contributing](https://github.com/deepset-ai/haystack/#heart-contributing) | We welcome all contributions! | +| :bar_chart: [Benchmarks](https://haystack.deepset.ai/benchmarks/v0.9.0) | Speed & Accuracy of Retriever, Readers and DocumentStores | +| :telescope: [Roadmap](https://haystack.deepset.ai/overview/roadmap) | Public roadmap of Haystack | +| :pray: [Slack](https://haystack.deepset.ai/community/join) | Join our community on Slack | +| :bird: [Twitter](https://twitter.com/deepset_ai) | Follow us on Twitter for news and updates | +| :newspaper: [Blog](https://medium.com/deepset-ai) | Read our articles on Medium | + + +## Quick Demo + +The quickest way to see what Haystack offers is to start a [Docker Compose](https://docs.docker.com/compose/) demo application: + +**1. Update/install Docker and Docker Compose, then launch Docker** + +``` + # apt-get update && apt-get install docker && apt-get install docker-compose + # service docker start +``` + +**2. Clone Haystack repository** + +``` + # git clone https://github.com/deepset-ai/haystack.git +``` + +### 2nd level headline for testing purposes +#### 3rd level headline for testing purposes diff --git a/examples/sample_files/sample_docx.docx b/examples/sample_files/sample_docx.docx new file mode 100644 index 0000000000000000000000000000000000000000..3a740ac96876f71e624fbc80fd2cb2408024e34f GIT binary patch literal 13232 zcmeHuRdgK5vTaMUB#Uf;1r{?igT>5XF*9R}*CR z_kB;T)zPc6YDaZsM`rBIh?0|pc=G`O1$YYp00;oJcOmd9Qo!}FzZN^5m zIKM;VZTOLNGmd_Ze~|TyC39Q*M=4e?dZPN?n9(+e;Ir2E1$&B+z zl#2o```P1ML||g@CdsKpK%Y3^IWWsp4fGKfIO`RMReC6Dx;9tkQOhi2Z`>&5lhi#e z(FoCjMUSndD4J9vUB_s*6 z>63`XDonH~M7HbQ_};=&T4>&w-3^#o?ly1VTBT+AnArw^;c(hpD^+aHWE}d|DvJ+i zU~l=^>Hz`(`1un8Aoq_Ui5rdCcn0}V+Xppm6L9qn)OzeDl=@c8?i>18q9 z=DqareCK{Iev|F;OWhc`GIRzL%NUE$Z#BfFP?i_W=U-nwEi8a*9qNe=Pff>8xY?(P zIBvvgU0^0CA%wQW%sp!NYCN~O0OAAM@)=y_Y`5T3_wI~ehKR%|hWx_RP(#Ntp`ssx zlSaExb}5DKb_?Om2r0&A42WxUGwhV+?~}ZkvXU8Q=gh@4+@VXjg*yUqTE;$l!5Z^c 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--git a/examples/super_components.ipynb b/examples/super_components.ipynb index 28d49080..15743b03 100644 --- a/examples/super_components.ipynb +++ b/examples/super_components.ipynb @@ -4,54 +4,72 @@ "cell_type": "code", "metadata": { "ExecuteTime": { - "end_time": "2025-01-24T11:05:59.594292Z", - "start_time": "2025-01-24T11:05:58.769938Z" + "end_time": "2025-02-11T09:03:33.257832Z", + "start_time": "2025-02-11T09:03:31.598703Z" } }, - "source": [ - "!pip install python-docx trafilatura markdown-it-py mdit_plain pypdf python-pptx openpyxl nltk" - ], + "source": "!pip install python-docx trafilatura markdown-it-py mdit_plain pypdf python-pptx openpyxl nltk", "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Requirement already satisfied: python-docx in /Users/mathislucka/Library/Application Support/hatch/env/virtual/haystack-experimental/0WxCzKa9/haystack-experimental/lib/python3.13/site-packages (1.1.2)\r\n", - "Requirement already satisfied: trafilatura in 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Support/hatch/env/virtual/haystack-experimental/0WxCzKa9/test/lib/python3.13/site-packages (from lxml[html_clean]>=4.4.2->justext>=3.0.1->trafilatura) (0.4.1)\r\n", + "Requirement already satisfied: six>=1.5 in /Users/mathislucka/Library/Application Support/hatch/env/virtual/haystack-experimental/0WxCzKa9/test/lib/python3.13/site-packages (from python-dateutil>=2.9.0.post0->htmldate>=1.9.2->trafilatura) (1.17.0)\r\n" ] } ], - "execution_count": 1 + "execution_count": 2 + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2025-02-11T09:12:12.253083Z", + "start_time": "2025-02-11T09:12:12.250834Z" + } + }, + "cell_type": "code", + "source": [ + "from haystack_experimental.super_components.converters import MultiFileConverter\n", + "from haystack_experimental.super_components.preprocessors import DocumentPreProcessor\n", + "from haystack_experimental.super_components.indexers import DocumentIndexer\n", + "\n", + "from haystack.document_stores.in_memory import InMemoryDocumentStore\n", + "\n", + "from haystack import Pipeline" + ], + "outputs": [], + "execution_count": 10 }, { "cell_type": "markdown", @@ -59,420 +77,395 @@ "source": [ "# SuperComponents\n", "\n", - "Supercomponents in general behave like any other component. They have init params, optional from_dict() and to_dict() methods as usual. The init params typically determine how the internal pipeline is constructed (e.g. which components are used)." + "Supercomponents in general behave like any other component. They have init params, optional from_dict() and to_dict() methods as usual. The init params typically determine how the internal pipeline is constructed (e.g. which components are used).\n", + "\n", + "Supercomponents can make it easier to build common pipeline patterns.\n", + "\n", + "Here, we are building an indexing pipeline for a RAG system.\n" ] }, { "cell_type": "code", "metadata": { "ExecuteTime": { - "end_time": "2025-01-24T11:06:01.583421Z", - "start_time": "2025-01-24T11:06:00.622949Z" + "end_time": "2025-02-11T09:12:13.829578Z", + "start_time": "2025-02-11T09:12:13.822121Z" } }, - "source": "from haystack_experimental.super_components.converters import AutoFileConverter", - "outputs": [], - "execution_count": 2 - }, - { - "metadata": {}, - "cell_type": "markdown", - "source": "The AutoFileConverter converts multiple file types and splits them into smaller chunks." + "source": [ + "file_converter = MultiFileConverter()\n", + "preprocessor = DocumentPreProcessor()\n", + "document_store = InMemoryDocumentStore()\n", + "indexer = DocumentIndexer(document_store=document_store)\n", + "\n", + "pipe = Pipeline()\n", + "\n", + "pipe.add_component(\"converter\", file_converter)\n", + "pipe.add_component(\"preprocessor\", preprocessor)\n", + "pipe.add_component(\"indexer\", indexer)\n", + "\n", + "pipe.connect(\"converter.documents\", \"preprocessor.documents\")\n", + "pipe.connect(\"preprocessor.documents\", \"indexer.documents\")" + ], + "outputs": [ + { + "data": { + "text/plain": [ + "\n", + "🚅 Components\n", + " - converter: MultiFileConverter\n", + " - preprocessor: DocumentPreProcessor\n", + " - indexer: DocumentIndexer\n", + "🛤️ Connections\n", + " - converter.documents -> preprocessor.documents (List[Document])\n", + " - preprocessor.documents -> indexer.documents (List[Document])" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "execution_count": 11 }, { + "metadata": { + "ExecuteTime": { + "end_time": "2025-02-11T09:12:15.424871Z", + "start_time": "2025-02-11T09:12:14.822152Z" + } + }, "cell_type": "code", - "metadata": {}, - "source": [ - "file_converter = AutoFileConverter(\n", - " split_by=\"sentence\",\n", - " split_overlap=0,\n", - " split_length=1,\n", - " respect_sentence_boundary=False\n", - ")" + "source": "pipe.show()", + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } ], - "outputs": [], - "execution_count": null + "execution_count": 12 }, { "metadata": {}, "cell_type": "markdown", - "source": "It handles CSV, DOCX, HTML, JSON, Markdown, TXT, PDF, PPTX, and XLSX." + "source": [ + "Our pipeline handles CSV, DOCX, HTML, JSON, Markdown, TXT, PDF, PPTX, and XLSX.\n", + "\n", + "Let's test it out!" + ] }, { "metadata": { "ExecuteTime": { - "end_time": "2025-01-24T11:08:53.994895Z", - "start_time": "2025-01-24T11:08:53.639576Z" + "end_time": "2025-02-11T09:12:20.299682Z", + "start_time": "2025-02-11T09:12:19.697516Z" } }, "cell_type": "code", "source": [ "example_files = [\n", - " \"example_files/react_paper.pdf\",\n", - " \"example_files/sample_docx.docx\",\n", - " \"example_files/sample_pptx.pptx\",\n", - " \"example_files/sample.md\",\n", - " \"example_files/sample_1.csv\",\n", + " \"sample_files/sample_docx.docx\",\n", + " \"sample_files/sample_pptx.pptx\",\n", + " \"sample_files/sample.md\",\n", + " \"sample_files/sample_pdf_1.pdf\",\n", "]\n", "\n", - "result = file_converter.run(sources=example_files)\n", + "result = pipe.run({\"sources\": example_files})\n", "\n", - "previous_name = None\n", - "for document in result[\"documents\"]:\n", - " if document.meta[\"file_path\"] != previous_name:\n", - " doc = f\"\"\"\n", - "First lines from {document.meta[\"file_path\"]}:\n", - "{document.content}\n", - "-----------\n", - "\"\"\" \n", - " print(doc)\n", - " previous_name = document.meta[\"file_path\"]" + "print(f\"Wrote {result['indexer']['documents_written']} documents to the document store.\")" ], "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "Converting markdown files to Documents: 100%|██████████| 1/1 [00:00<00:00, 324.49it/s]\n" + "Converting markdown files to Documents: 100%|██████████| 1/1 [00:00<00:00, 234.69it/s]\n", + "Batches: 100%|██████████| 1/1 [00:00<00:00, 1.80it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\n", - "First lines from sample_1.csv:\n", - "Name,Age\r\n", - "John Doe,27\r\n", - "Jane Smith,37\r\n", - "Mike Johnson,47\r\n", - "\n", - "-----------\n", - "\n", - "\n", - "First lines from sample_docx.docx:\n", - "Sample Docx File\n", - "\n", - "The US has \"passed the peak\" on new coronavirus cases, President Donald Trump said and predicted that some states would reopen this month.\n", - "\n", - "-----------\n", - "\n", - "\n", - "First lines from sample.md:\n", - "type: intro\n", - "date: 1.1.2023\n", - "\n", - "pip install farm-haystack\n", - "\n", - "\n", - "What to build with Haystack\n", - "\n", - "Ask questions in natural language and find granular answers in your own documents.\n", - "\n", - "-----------\n", - "\n", - "\n", - "First lines from react_paper.pdf:\n", - "REAC T: S YNERGIZING REASONING AND ACTING IN\n", - "LANGUAGE MODELS\n", - "Shunyu Yao∗*,1, Jeffrey Zhao2, Dian Yu2, Nan Du2, Izhak Shafran2, Karthik Narasimhan1, Yuan Cao2\n", - "1Department of Computer Science, Princeton University\n", - "2Google Research, Brain team\n", - "1{shunyuy,karthikn}@princeton.edu\n", - "2{jeffreyzhao,dianyu,dunan,izhak,yuancao}@google.com\n", - "ABSTRACT\n", - "While large language models (LLMs) have demonstrated impressive performance\n", - "across tasks in language understanding and interactive decision making, their\n", - "abilities for reasoning (e.g. \n", - "-----------\n", - "\n", - "\n", - "First lines from sample_pptx.pptx:\n", - "Sample Title Slide\n", - "Jane Doe\fTitle of First Slide\n", - "This is a bullet point\n", - "This is another bullet point\n", - "-----------\n", + "Wrote 6 documents to the document store.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ "\n" ] } ], - "execution_count": 8 + "execution_count": 13 + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "Let's view the documents!\n", + "\n", + "You can see that they are split, and embedded." + ] }, { "cell_type": "code", "metadata": { "ExecuteTime": { - "end_time": "2025-01-24T09:39:18.254165Z", - "start_time": "2025-01-24T09:39:18.248837Z" + "end_time": "2025-02-11T09:12:54.651275Z", + "start_time": "2025-02-11T09:12:54.645947Z" } }, - "source": [ - "# We can serialize it to a dict like any other Haystack component.\n", - "file_converter.to_dict()" - ], + "source": "document_store.filter_documents()", "outputs": [ { "data": { "text/plain": [ - "{'type': 'haystack_experimental.super_components.converters.file_converter.AutoFileConverter',\n", - " 'init_parameters': {'split_by': 'word',\n", - " 'split_length': 250,\n", - " 'split_overlap': 30,\n", - " 'split_threshold': 0,\n", - " 'splitting_function': None,\n", - " 'respect_sentence_boundary': True,\n", - " 'language': 'en',\n", - " 'use_split_rules': True,\n", - " 'extend_abbreviations': True,\n", - " 'encoding': 'utf-8',\n", - " 'json_content_key': 'content'}}" + "[Document(id=575e058e31109793279bb32e9eca01b0ecef8a4a687a8eb235d77b11f1746956, content: 'Sample Docx File The US has \"passed the peak\" on new coronavirus cases, President Donald Trump said ...', meta: {'file_path': 'sample_docx.docx', 'docx': DOCXMetadata(author='Saha, Anirban', category='', comments='', content_status='', created='2020-07-14T08:14:00+00:00', identifier='', keywords='', language='', last_modified_by='Saha, Anirban', last_printed=None, modified='2020-07-14T08:16:00+00:00', revision=1, subject='', title='', version=''), 'source_id': '86ba10e1b023f2dfdd576079468a060522f31be54cf6e41515d2311522002b06', 'page_number': 1, 'split_id': 0, 'split_idx_start': 0}, embedding: vector of size 768),\n", + " Document(id=afce88a93fde936bd049139ff5802dcbe4e1af65b9040e88523ee868b50aec16, content: 'type: intro\n", + " date: 1.1.2023 pip install farm-haystack What to build with Haystack Ask questions in na...', meta: {'file_path': 'sample.md', 'source_id': '9a881cceb8042a3db81c9390bf8c7ba28979030823bf0382788430bf6ee73af6', 'page_number': 1, 'split_id': 0, 'split_idx_start': 0}, embedding: vector of size 768),\n", + " Document(id=a5bdfffc7637bc6156e319f760655196093577d8478f98f78d4993b4a338e12e, content: 'production & improve your models continuously | | |\n", + " |-|-|\n", + " | :ledger: Docs | Usage, Guides, API docum...', meta: {'file_path': 'sample.md', 'source_id': '9a881cceb8042a3db81c9390bf8c7ba28979030823bf0382788430bf6ee73af6', 'page_number': 1, 'split_id': 1, 'split_idx_start': 1495}, embedding: vector of size 768),\n", + " Document(id=a3b622a10f684a51dd5edb79557eada73bc5ae29e64f94b99284b964d943cb21, content: 'A sample PDF file History and standardization\n", + " Format (PDF) Adobe Systems made the PDF specification av...', meta: {'file_path': 'sample_pdf_1.pdf', 'source_id': 'e7779175a0a5a7841df3f6153651ea94c895e8f31d65b2c269bf17cb6bea39a7', 'page_number': 1, 'split_id': 0, 'split_idx_start': 0}, embedding: vector of size 768),\n", + " Document(id=7c3d052b5d6514d9c23d920c9cbfaa549be434cf755f4a029cb45d4508eded14, content: 'Many of them are also not supported by popular third-party implementations of PDF.\n", + " Column 1 Column 2...', meta: {'file_path': 'sample_pdf_1.pdf', 'source_id': 'e7779175a0a5a7841df3f6153651ea94c895e8f31d65b2c269bf17cb6bea39a7', 'page_number': 1, 'split_id': 1, 'split_idx_start': 1317}, embedding: vector of size 768),\n", + " Document(id=3de510d8a1b6e3d8fc9dc1127b6b358caf2f5a2ac962de3a267fd14a9e86c1bc, content: 'Sample Title Slide\n", + " Jane Doe\n", + " Title of First Slide\n", + " This is a bullet point\n", + " This is another bullet point...', meta: {'file_path': 'sample_pptx.pptx', 'source_id': '163edc48d112b11d55c6b809fb4f632e0d1f9a73f44f3343b40fdd9317e2ea9a', 'page_number': 1, 'split_id': 0, 'split_idx_start': 0}, embedding: vector of size 768)]" ] }, - "execution_count": 4, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], - "execution_count": 4 + "execution_count": 14 }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Expanding SuperComponents\n", - "What makes SuperComponents special is the ability to expand it by calling their `to_super_component_dict()` method. This converts the component to a generic `SuperComponent` that contains the pipeline constructed by the SuperComponent. From there on the pipeline can be changed in any way." + "What makes SuperComponents special is the ability to expand it by calling their `to_super_component_dict()` method. This converts the component to a generic `SuperComponent` that contains the pipeline constructed by the SuperComponent. From there on the pipeline can be changed in any way.\n", + "\n", + "Let's use this feature to check how this pipeline would look like without using super components." ] }, { "cell_type": "code", "metadata": { "ExecuteTime": { - "end_time": "2025-01-24T09:40:13.086160Z", - "start_time": "2025-01-24T09:40:13.076415Z" + "end_time": "2025-02-11T09:23:10.530152Z", + "start_time": "2025-02-11T09:23:10.521099Z" } }, - "source": "file_converter.to_super_component_dict()", + "source": [ + "file_converter_serialized = file_converter._to_super_component_dict()\n", + "Pipeline.from_dict(file_converter_serialized[\"init_parameters\"][\"pipeline\"])\n" + ], "outputs": [ { "data": { "text/plain": [ - "{'type': 'haystack_experimental.core.super_component.super_component.SuperComponent',\n", - " 'init_parameters': {'pipeline': {'metadata': {},\n", - " 'max_runs_per_component': 100,\n", - " 'components': {'router': {'type': 'haystack.components.routers.file_type_router.FileTypeRouter',\n", - " 'init_parameters': {'mime_types': [,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ],\n", - " 'additional_mimetypes': None}},\n", - " 'csv': {'type': 'haystack.components.converters.csv.CSVToDocument',\n", - " 'init_parameters': {'encoding': 'utf-8', 'store_full_path': False}},\n", - " 'docx': {'type': 'haystack.components.converters.docx.DOCXToDocument',\n", - " 'init_parameters': {'table_format': 'csv', 'store_full_path': False}},\n", - " 'html': {'type': 'haystack.components.converters.html.HTMLToDocument',\n", - " 'init_parameters': {'extraction_kwargs': {}, 'store_full_path': False}},\n", - " 'json': {'type': 'haystack.components.converters.json.JSONConverter',\n", - " 'init_parameters': {'jq_schema': None,\n", - " 'content_key': 'content',\n", - " 'extra_meta_fields': None,\n", - " 'store_full_path': False}},\n", - " 'md': {'type': 'haystack.components.converters.markdown.MarkdownToDocument',\n", - " 'init_parameters': {'table_to_single_line': False,\n", - " 'progress_bar': True,\n", - " 'store_full_path': False}},\n", - " 'txt': {'type': 'haystack.components.converters.txt.TextFileToDocument',\n", - " 'init_parameters': {'encoding': 'utf-8', 'store_full_path': False}},\n", - " 'pdf': {'type': 'haystack.components.converters.pypdf.PyPDFToDocument',\n", - " 'init_parameters': {'extraction_mode': 'plain',\n", - " 'plain_mode_orientations': (0, 90, 180, 270),\n", - " 'plain_mode_space_width': 200.0,\n", - " 'layout_mode_space_vertically': True,\n", - " 'layout_mode_scale_weight': 1.25,\n", - " 'layout_mode_strip_rotated': True,\n", - " 'layout_mode_font_height_weight': 1.0,\n", - " 'store_full_path': False}},\n", - " 'pptx': {'type': 'haystack.components.converters.pptx.PPTXToDocument',\n", - " 'init_parameters': {'store_full_path': False}},\n", - " 'xlsx': {'type': 'haystack.components.converters.xlsx.XLSXToDocument',\n", - " 'init_parameters': {'table_format': 'csv',\n", - " 'sheet_name': None,\n", - " 'read_excel_kwargs': {},\n", - " 'table_format_kwargs': {}}},\n", - " 'joiner': {'type': 'haystack.components.joiners.document_joiner.DocumentJoiner',\n", - " 'init_parameters': {'join_mode': 'concatenate',\n", - " 'weights': None,\n", - " 'top_k': None,\n", - " 'sort_by_score': True}},\n", - " 'tabular_joiner': {'type': 'haystack.components.joiners.document_joiner.DocumentJoiner',\n", - " 'init_parameters': {'join_mode': 'concatenate',\n", - " 'weights': None,\n", - " 'top_k': None,\n", - " 'sort_by_score': True}},\n", - " 'splitter': {'type': 'haystack.components.preprocessors.document_splitter.DocumentSplitter',\n", - " 'init_parameters': {'split_by': 'word',\n", - " 'split_length': 250,\n", - " 'split_overlap': 30,\n", - " 'split_threshold': 0,\n", - " 'respect_sentence_boundary': True,\n", - " 'language': 'en',\n", - " 'use_split_rules': True,\n", - " 'extend_abbreviations': True}}},\n", - " 'connections': [{'sender': 'router.text/csv', 'receiver': 'csv.sources'},\n", - " {'sender': 'router.application/vnd.openxmlformats-officedocument.wordprocessingml.document',\n", - " 'receiver': 'docx.sources'},\n", - " {'sender': 'router.text/html', 'receiver': 'html.sources'},\n", - " {'sender': 'router.application/json', 'receiver': 'json.sources'},\n", - " {'sender': 'router.text/markdown', 'receiver': 'md.sources'},\n", - " {'sender': 'router.text/plain', 'receiver': 'txt.sources'},\n", - " {'sender': 'router.application/pdf', 'receiver': 'pdf.sources'},\n", - " {'sender': 'router.application/vnd.openxmlformats-officedocument.presentationml.presentation',\n", - " 'receiver': 'pptx.sources'},\n", - " {'sender': 'router.application/vnd.openxmlformats-officedocument.spreadsheetml.sheet',\n", - " 'receiver': 'xlsx.sources'},\n", - " {'sender': 'csv.documents', 'receiver': 'tabular_joiner.documents'},\n", - " {'sender': 'docx.documents', 'receiver': 'joiner.documents'},\n", - " {'sender': 'html.documents', 'receiver': 'joiner.documents'},\n", - " {'sender': 'json.documents', 'receiver': 'joiner.documents'},\n", - " {'sender': 'md.documents', 'receiver': 'joiner.documents'},\n", - " {'sender': 'txt.documents', 'receiver': 'joiner.documents'},\n", - " {'sender': 'pdf.documents', 'receiver': 'joiner.documents'},\n", - " {'sender': 'pptx.documents', 'receiver': 'joiner.documents'},\n", - " {'sender': 'xlsx.documents', 'receiver': 'tabular_joiner.documents'},\n", - " {'sender': 'joiner.documents', 'receiver': 'splitter.documents'},\n", - " {'sender': 'splitter.documents', 'receiver': 'tabular_joiner.documents'}]},\n", - " 'input_mapping': {'sources': ['router.sources'], 'meta': ['router.meta']},\n", - " 'output_mapping': {'tabular_joiner.documents': 'documents'}}}" + "\n", + "🚅 Components\n", + " - router: FileTypeRouter\n", + " - docx: DOCXToDocument\n", + " - html: HTMLToDocument\n", + " - json: JSONConverter\n", + " - md: MarkdownToDocument\n", + " - txt: TextFileToDocument\n", + " - pdf: PyPDFToDocument\n", + " - pptx: PPTXToDocument\n", + " - xlsx: XLSXToDocument\n", + " - joiner: DocumentJoiner\n", + " - csv: CSVToDocument\n", + "🛤️ Connections\n", + " - router.text/csv -> csv.sources (List[Union[str, Path, ByteStream]])\n", + " - router.application/vnd.openxmlformats-officedocument.wordprocessingml.document -> docx.sources (List[Union[str, Path, ByteStream]])\n", + " - router.text/html -> html.sources (List[Union[str, Path, ByteStream]])\n", + " - router.application/json -> json.sources (List[Union[str, Path, ByteStream]])\n", + " - router.text/markdown -> md.sources (List[Union[str, Path, ByteStream]])\n", + " - router.text/plain -> txt.sources (List[Union[str, Path, ByteStream]])\n", + " - router.application/pdf -> pdf.sources (List[Union[str, Path, ByteStream]])\n", + " - router.application/vnd.openxmlformats-officedocument.presentationml.presentation -> pptx.sources (List[Union[str, Path, ByteStream]])\n", + " - router.application/vnd.openxmlformats-officedocument.spreadsheetml.sheet -> xlsx.sources (List[Union[str, Path, ByteStream]])\n", + " - docx.documents -> joiner.documents (List[Document])\n", + " - html.documents -> joiner.documents (List[Document])\n", + " - json.documents -> joiner.documents (List[Document])\n", + " - md.documents -> joiner.documents (List[Document])\n", + " - txt.documents -> joiner.documents (List[Document])\n", + " - pdf.documents -> joiner.documents (List[Document])\n", + " - pptx.documents -> joiner.documents (List[Document])\n", + " - xlsx.documents -> joiner.documents (List[Document])\n", + " - csv.documents -> joiner.documents (List[Document])" ] }, - "execution_count": 5, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], - "execution_count": 5 + "execution_count": 28 }, { - "cell_type": "code", - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-24T11:10:26.987346Z", - "start_time": "2025-01-24T11:10:26.980095Z" - } - }, + "metadata": {}, + "cell_type": "markdown", "source": [ - "from haystack_experimental.core.super_component import SuperComponent\n", + "That's a lot of components just for file conversion.\n", "\n", - "super_file_converter = SuperComponent.from_dict(file_converter.to_super_component_dict())" - ], - "outputs": [], - "execution_count": 10 + "\n", + "The full pipeline, that has the same functionality would look like this. 😵\t" + ] }, { - "cell_type": "code", "metadata": { "ExecuteTime": { - "end_time": "2025-01-24T11:10:28.364136Z", - "start_time": "2025-01-24T11:10:28.006528Z" + "end_time": "2025-02-11T09:40:41.120319Z", + "start_time": "2025-02-11T09:40:41.102739Z" } }, + "cell_type": "code", "source": [ - "result = super_file_converter.run(sources=example_files)\n", + "from haystack import Pipeline\n", + "from haystack.components.routers.file_type_router import FileTypeRouter\n", + "from haystack.components.converters.txt import TextFileToDocument\n", + "from haystack.components.converters.pypdf import PyPDFToDocument\n", + "from haystack.components.converters.html import HTMLToDocument\n", + "from haystack.components.converters.docx import DOCXToDocument\n", + "from haystack.components.converters.pptx import PPTXToDocument\n", + "from haystack.components.converters.xlsx import XLSXToDocument\n", + "from haystack.components.converters.csv import CSVToDocument\n", + "from haystack.components.joiners.document_joiner import DocumentJoiner\n", + "from haystack.components.preprocessors.document_splitter import DocumentSplitter\n", + "from haystack.components.preprocessors.document_cleaner import DocumentCleaner\n", + "from haystack.components.embedders.sentence_transformers_document_embedder import SentenceTransformersDocumentEmbedder\n", + "from haystack.document_stores.in_memory import InMemoryDocumentStore\n", + "from haystack.components.writers.document_writer import DocumentWriter\n", "\n", - "previous_name = None\n", - "for document in result[\"documents\"]:\n", - " if document.meta[\"file_path\"] != previous_name:\n", - " doc = f\"\"\"\n", - "First lines from {document.meta[\"file_path\"]}:\n", - "{document.content}\n", - "-----------\n", - "\"\"\" \n", - " print(doc)\n", - " previous_name = document.meta[\"file_path\"]" + "file_classifier = FileTypeRouter(\n", + " mime_types=[\n", + " \"text/plain\",\n", + " \"application/pdf\",\n", + " \"text/markdown\",\n", + " \"text/html\",\n", + " \"application/vnd.openxmlformats-officedocument.wordprocessingml.document\",\n", + " \"application/vnd.openxmlformats-officedocument.presentationml.presentation\",\n", + " \"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet\",\n", + " \"text/csv\"\n", + " ])\n", + "text_converter = TextFileToDocument(encoding=\"utf-8\")\n", + "pdf_converter = PyPDFToDocument()\n", + "markdown_converter = TextFileToDocument(encoding=\"utf-8\")\n", + "html_converter = HTMLToDocument()\n", + "docx_converter = DOCXToDocument()\n", + "pptx_converter = PPTXToDocument()\n", + "xlsx_converter = XLSXToDocument()\n", + "csv_converter = CSVToDocument(encoding=\"utf-8\")\n", + "joiner = DocumentJoiner(join_mode=\"concatenate\", sort_by_score=False)\n", + "joiner_xlsx = DocumentJoiner(join_mode=\"concatenate\", sort_by_score=False)\n", + "splitter = DocumentSplitter(split_by=\"word\", split_length=250)\n", + "cleaner = DocumentCleaner()\n", + "document_embedder = SentenceTransformersDocumentEmbedder()\n", + "document_store = InMemoryDocumentStore()\n", + "writer = DocumentWriter(document_store=document_store)\n", + "\n", + "pipeline = Pipeline()\n", + "pipeline.add_component(\"file_classifier\", file_classifier)\n", + "pipeline.add_component(\"text_converter\", text_converter)\n", + "pipeline.add_component(\"pdf_converter\", pdf_converter)\n", + "pipeline.add_component(\"markdown_converter\", markdown_converter)\n", + "pipeline.add_component(\"html_converter\", html_converter)\n", + "pipeline.add_component(\"docx_converter\", docx_converter)\n", + "pipeline.add_component(\"pptx_converter\", pptx_converter)\n", + "pipeline.add_component(\"xlsx_converter\", xlsx_converter)\n", + "pipeline.add_component(\"csv_converter\", csv_converter)\n", + "pipeline.add_component(\"joiner\", joiner)\n", + "pipeline.add_component(\"joiner_xlsx\", joiner_xlsx)\n", + "pipeline.add_component(\"splitter\", splitter)\n", + "pipeline.add_component(\"cleaner\", cleaner)\n", + "pipeline.add_component(\"document_embedder\", document_embedder)\n", + "pipeline.add_component(\"writer\", writer)\n", + "pipeline.connect(\"file_classifier.text/plain\", \"text_converter.sources\")\n", + "pipeline.connect(\"file_classifier.application/pdf\", \"pdf_converter.sources\")\n", + "pipeline.connect(\"file_classifier.text/markdown\", \"markdown_converter.sources\")\n", + "pipeline.connect(\"file_classifier.text/html\", \"html_converter.sources\")\n", + "pipeline.connect(\"file_classifier.application/vnd.openxmlformats-officedocument.wordprocessingml.document\", \"docx_converter.sources\")\n", + "pipeline.connect(\"file_classifier.application/vnd.openxmlformats-officedocument.presentationml.presentation\", \"pptx_converter.sources\")\n", + "pipeline.connect(\"file_classifier.application/vnd.openxmlformats-officedocument.spreadsheetml.sheet\", \"xlsx_converter.sources\")\n", + "pipeline.connect(\"file_classifier.text/csv\", \"csv_converter.sources\")\n", + "pipeline.connect(\"text_converter.documents\", \"joiner.documents\")\n", + "pipeline.connect(\"pdf_converter.documents\", \"joiner.documents\")\n", + "pipeline.connect(\"markdown_converter.documents\", \"joiner.documents\")\n", + "pipeline.connect(\"html_converter.documents\", \"joiner.documents\")\n", + "pipeline.connect(\"docx_converter.documents\", \"joiner.documents\")\n", + "pipeline.connect(\"pptx_converter.documents\", \"joiner.documents\")\n", + "pipeline.connect(\"joiner.documents\", \"cleaner.documents\")\n", + "pipeline.connect(\"cleaner.documents\", \"splitter.documents\")\n", + "pipeline.connect(\"xlsx_converter.documents\", \"joiner.documents\")\n", + "pipeline.connect(\"csv_converter.documents\", \"joiner.documents\")\n", + "pipeline.connect(\"document_embedder.documents\", \"writer.documents\")\n" ], "outputs": [ { - "name": "stderr", - "output_type": "stream", - "text": [ - "No abbreviations file found for en. Using default abbreviations.\n", - "Converting markdown files to Documents: 100%|██████████| 1/1 [00:00<00:00, 380.50it/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "First lines from sample_1.csv:\n", - "Name,Age\r\n", - "John Doe,27\r\n", - "Jane Smith,37\r\n", - "Mike Johnson,47\r\n", - "\n", - "-----------\n", - "\n", - "\n", - "First lines from sample_docx.docx:\n", - "Sample Docx File\n", - "\n", - "The US has \"passed the peak\" on new coronavirus cases, President Donald Trump said and predicted that some states would reopen this month.\n", - "\n", - "-----------\n", - "\n", - "\n", - "First lines from sample.md:\n", - "type: intro\n", - "date: 1.1.2023\n", - "\n", - "pip install farm-haystack\n", - "\n", - "\n", - "What to build with Haystack\n", - "\n", - "Ask questions in natural language and find granular answers in your own documents.\n", - "\n", - "-----------\n", - "\n", - "\n", - "First lines from react_paper.pdf:\n", - "REAC T: S YNERGIZING REASONING AND ACTING IN\n", - "LANGUAGE MODELS\n", - "Shunyu Yao∗*,1, Jeffrey Zhao2, Dian Yu2, Nan Du2, Izhak Shafran2, Karthik Narasimhan1, Yuan Cao2\n", - "1Department of Computer Science, Princeton University\n", - "2Google Research, Brain team\n", - "1{shunyuy,karthikn}@princeton.edu\n", - "2{jeffreyzhao,dianyu,dunan,izhak,yuancao}@google.com\n", - "ABSTRACT\n", - "While large language models (LLMs) have demonstrated impressive performance\n", - "across tasks in language understanding and interactive decision making, their\n", - "abilities for reasoning (e.g. \n", - "-----------\n", - "\n", - "\n", - "First lines from sample_pptx.pptx:\n", - "Sample Title Slide\n", - "Jane Doe\fTitle of First Slide\n", - "This is a bullet point\n", - "This is another bullet point\n", - "-----------\n", - "\n" - ] + "data": { + "text/plain": [ + "\n", + "🚅 Components\n", + " - file_classifier: FileTypeRouter\n", + " - text_converter: TextFileToDocument\n", + " - pdf_converter: PyPDFToDocument\n", + " - markdown_converter: TextFileToDocument\n", + " - html_converter: HTMLToDocument\n", + " - docx_converter: DOCXToDocument\n", + " - pptx_converter: PPTXToDocument\n", + " - xlsx_converter: XLSXToDocument\n", + " - csv_converter: CSVToDocument\n", + " - joiner: DocumentJoiner\n", + " - joiner_xlsx: DocumentJoiner\n", + " - splitter: DocumentSplitter\n", + " - cleaner: DocumentCleaner\n", + " - document_embedder: SentenceTransformersDocumentEmbedder\n", + " - writer: DocumentWriter\n", + "🛤️ Connections\n", + " - file_classifier.text/plain -> text_converter.sources (List[Union[str, Path, ByteStream]])\n", + " - file_classifier.application/pdf -> pdf_converter.sources (List[Union[str, Path, ByteStream]])\n", + " - file_classifier.text/markdown -> markdown_converter.sources (List[Union[str, Path, ByteStream]])\n", + " - file_classifier.text/html -> html_converter.sources (List[Union[str, Path, ByteStream]])\n", + " - file_classifier.application/vnd.openxmlformats-officedocument.wordprocessingml.document -> docx_converter.sources (List[Union[str, Path, ByteStream]])\n", + " - file_classifier.application/vnd.openxmlformats-officedocument.presentationml.presentation -> pptx_converter.sources (List[Union[str, Path, ByteStream]])\n", + " - file_classifier.application/vnd.openxmlformats-officedocument.spreadsheetml.sheet -> xlsx_converter.sources (List[Union[str, Path, ByteStream]])\n", + " - file_classifier.text/csv -> csv_converter.sources (List[Union[str, Path, ByteStream]])\n", + " - text_converter.documents -> joiner.documents (List[Document])\n", + " - pdf_converter.documents -> joiner.documents (List[Document])\n", + " - markdown_converter.documents -> joiner.documents (List[Document])\n", + " - html_converter.documents -> joiner.documents (List[Document])\n", + " - docx_converter.documents -> joiner.documents (List[Document])\n", + " - pptx_converter.documents -> joiner.documents (List[Document])\n", + " - xlsx_converter.documents -> joiner.documents (List[Document])\n", + " - csv_converter.documents -> joiner.documents (List[Document])\n", + " - joiner.documents -> cleaner.documents (List[Document])\n", + " - cleaner.documents -> splitter.documents (List[Document])\n", + " - document_embedder.documents -> writer.documents (List[Document])" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 11 - }, - { - "metadata": {}, - "cell_type": "code", - "outputs": [], - "execution_count": null, - "source": "" + "execution_count": 35 } ], "metadata": { From ba932fc435411bc1d5523a76fdd0791eb48024f5 Mon Sep 17 00:00:00 2001 From: mathislucka Date: Tue, 11 Feb 2025 10:50:38 +0100 Subject: [PATCH 26/37] lint and format --- examples/super_components.ipynb | 231 +++++++++--------- .../super_components/converters/__init__.py | 2 +- .../indexers/document_indexer.py | 19 +- .../preprocessors/__init__.py | 2 +- .../preprocessors/document_preprocessor.py | 30 ++- 5 files changed, 151 insertions(+), 133 deletions(-) diff --git a/examples/super_components.ipynb b/examples/super_components.ipynb index 15743b03..2d41008c 100644 --- a/examples/super_components.ipynb +++ b/examples/super_components.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "code", + "execution_count": 2, "metadata": { "ExecuteTime": { "end_time": "2025-02-11T09:03:33.257832Z", "start_time": "2025-02-11T09:03:31.598703Z" } }, - "source": "!pip install python-docx trafilatura markdown-it-py mdit_plain pypdf python-pptx openpyxl nltk", "outputs": [ { "name": "stdout", @@ -49,27 +49,28 @@ ] } ], - "execution_count": 2 + "source": [ + "!pip install python-docx trafilatura markdown-it-py mdit_plain pypdf python-pptx openpyxl nltk" + ] }, { + "cell_type": "code", + "execution_count": 10, "metadata": { "ExecuteTime": { "end_time": "2025-02-11T09:12:12.253083Z", "start_time": "2025-02-11T09:12:12.250834Z" } }, - "cell_type": "code", + "outputs": [], "source": [ - "from haystack_experimental.super_components.converters import MultiFileConverter\n", - "from haystack_experimental.super_components.preprocessors import DocumentPreProcessor\n", - "from haystack_experimental.super_components.indexers import DocumentIndexer\n", - "\n", + "from haystack import Pipeline\n", "from haystack.document_stores.in_memory import InMemoryDocumentStore\n", "\n", - "from haystack import Pipeline" - ], - "outputs": [], - "execution_count": 10 + "from haystack_experimental.super_components.converters import MultiFileConverter\n", + "from haystack_experimental.super_components.indexers import DocumentIndexer\n", + "from haystack_experimental.super_components.preprocessors import DocumentPreProcessor" + ] }, { "cell_type": "markdown", @@ -86,27 +87,13 @@ }, { "cell_type": "code", + "execution_count": 11, "metadata": { "ExecuteTime": { "end_time": "2025-02-11T09:12:13.829578Z", "start_time": "2025-02-11T09:12:13.822121Z" } }, - "source": [ - "file_converter = MultiFileConverter()\n", - "preprocessor = DocumentPreProcessor()\n", - "document_store = InMemoryDocumentStore()\n", - "indexer = DocumentIndexer(document_store=document_store)\n", - "\n", - "pipe = Pipeline()\n", - "\n", - "pipe.add_component(\"converter\", file_converter)\n", - "pipe.add_component(\"preprocessor\", preprocessor)\n", - "pipe.add_component(\"indexer\", indexer)\n", - "\n", - "pipe.connect(\"converter.documents\", \"preprocessor.documents\")\n", - "pipe.connect(\"preprocessor.documents\", \"indexer.documents\")" - ], "outputs": [ { "data": { @@ -126,17 +113,31 @@ "output_type": "execute_result" } ], - "execution_count": 11 + "source": [ + "file_converter = MultiFileConverter()\n", + "preprocessor = DocumentPreProcessor()\n", + "document_store = InMemoryDocumentStore()\n", + "indexer = DocumentIndexer(document_store=document_store)\n", + "\n", + "pipe = Pipeline()\n", + "\n", + "pipe.add_component(\"converter\", file_converter)\n", + "pipe.add_component(\"preprocessor\", preprocessor)\n", + "pipe.add_component(\"indexer\", indexer)\n", + "\n", + "pipe.connect(\"converter.documents\", \"preprocessor.documents\")\n", + "pipe.connect(\"preprocessor.documents\", \"indexer.documents\")" + ] }, { + "cell_type": "code", + "execution_count": 12, "metadata": { "ExecuteTime": { "end_time": "2025-02-11T09:12:15.424871Z", "start_time": "2025-02-11T09:12:14.822152Z" } }, - "cell_type": "code", - "source": "pipe.show()", "outputs": [ { "data": { @@ -149,11 +150,13 @@ "output_type": "display_data" } ], - "execution_count": 12 + "source": [ + "pipe.show()" + ] }, { - "metadata": {}, "cell_type": "markdown", + "metadata": {}, "source": [ "Our pipeline handles CSV, DOCX, HTML, JSON, Markdown, TXT, PDF, PPTX, and XLSX.\n", "\n", @@ -161,25 +164,14 @@ ] }, { + "cell_type": "code", + "execution_count": 13, "metadata": { "ExecuteTime": { "end_time": "2025-02-11T09:12:20.299682Z", "start_time": "2025-02-11T09:12:19.697516Z" } }, - "cell_type": "code", - "source": [ - "example_files = [\n", - " \"sample_files/sample_docx.docx\",\n", - " \"sample_files/sample_pptx.pptx\",\n", - " \"sample_files/sample.md\",\n", - " \"sample_files/sample_pdf_1.pdf\",\n", - "]\n", - "\n", - "result = pipe.run({\"sources\": example_files})\n", - "\n", - "print(f\"Wrote {result['indexer']['documents_written']} documents to the document store.\")" - ], "outputs": [ { "name": "stderr", @@ -204,11 +196,22 @@ ] } ], - "execution_count": 13 + "source": [ + "example_files = [\n", + " \"sample_files/sample_docx.docx\",\n", + " \"sample_files/sample_pptx.pptx\",\n", + " \"sample_files/sample.md\",\n", + " \"sample_files/sample_pdf_1.pdf\",\n", + "]\n", + "\n", + "result = pipe.run({\"sources\": example_files})\n", + "\n", + "print(f\"Wrote {result['indexer']['documents_written']} documents to the document store.\")" + ] }, { - "metadata": {}, "cell_type": "markdown", + "metadata": {}, "source": [ "Let's view the documents!\n", "\n", @@ -217,13 +220,13 @@ }, { "cell_type": "code", + "execution_count": 14, "metadata": { "ExecuteTime": { "end_time": "2025-02-11T09:12:54.651275Z", "start_time": "2025-02-11T09:12:54.645947Z" } }, - "source": "document_store.filter_documents()", "outputs": [ { "data": { @@ -250,7 +253,9 @@ "output_type": "execute_result" } ], - "execution_count": 14 + "source": [ + "document_store.filter_documents()" + ] }, { "cell_type": "markdown", @@ -264,16 +269,13 @@ }, { "cell_type": "code", + "execution_count": 28, "metadata": { "ExecuteTime": { "end_time": "2025-02-11T09:23:10.530152Z", "start_time": "2025-02-11T09:23:10.521099Z" } }, - "source": [ - "file_converter_serialized = file_converter._to_super_component_dict()\n", - "Pipeline.from_dict(file_converter_serialized[\"init_parameters\"][\"pipeline\"])\n" - ], "outputs": [ { "data": { @@ -317,11 +319,14 @@ "output_type": "execute_result" } ], - "execution_count": 28 + "source": [ + "file_converter_serialized = file_converter._to_super_component_dict()\n", + "Pipeline.from_dict(file_converter_serialized[\"init_parameters\"][\"pipeline\"])\n" + ] }, { - "metadata": {}, "cell_type": "markdown", + "metadata": {}, "source": [ "That's a lot of components just for file conversion.\n", "\n", @@ -330,29 +335,78 @@ ] }, { + "cell_type": "code", + "execution_count": 35, "metadata": { "ExecuteTime": { "end_time": "2025-02-11T09:40:41.120319Z", "start_time": "2025-02-11T09:40:41.102739Z" } }, - "cell_type": "code", + "outputs": [ + { + "data": { + "text/plain": [ + "\n", + "🚅 Components\n", + " - file_classifier: FileTypeRouter\n", + " - text_converter: TextFileToDocument\n", + " - pdf_converter: PyPDFToDocument\n", + " - markdown_converter: TextFileToDocument\n", + " - html_converter: HTMLToDocument\n", + " - docx_converter: DOCXToDocument\n", + " - pptx_converter: PPTXToDocument\n", + " - xlsx_converter: XLSXToDocument\n", + " - csv_converter: CSVToDocument\n", + " - joiner: DocumentJoiner\n", + " - joiner_xlsx: DocumentJoiner\n", + " - splitter: DocumentSplitter\n", + " - cleaner: DocumentCleaner\n", + " - document_embedder: SentenceTransformersDocumentEmbedder\n", + " - writer: DocumentWriter\n", + "🛤️ Connections\n", + " - file_classifier.text/plain -> text_converter.sources (List[Union[str, Path, ByteStream]])\n", + " - file_classifier.application/pdf -> pdf_converter.sources (List[Union[str, Path, ByteStream]])\n", + " - file_classifier.text/markdown -> markdown_converter.sources (List[Union[str, Path, ByteStream]])\n", + " - file_classifier.text/html -> html_converter.sources (List[Union[str, Path, ByteStream]])\n", + " - file_classifier.application/vnd.openxmlformats-officedocument.wordprocessingml.document -> docx_converter.sources (List[Union[str, Path, ByteStream]])\n", + " - file_classifier.application/vnd.openxmlformats-officedocument.presentationml.presentation -> pptx_converter.sources (List[Union[str, Path, ByteStream]])\n", + " - file_classifier.application/vnd.openxmlformats-officedocument.spreadsheetml.sheet -> xlsx_converter.sources (List[Union[str, Path, ByteStream]])\n", + " - file_classifier.text/csv -> csv_converter.sources (List[Union[str, Path, ByteStream]])\n", + " - text_converter.documents -> joiner.documents (List[Document])\n", + " - pdf_converter.documents -> joiner.documents (List[Document])\n", + " - markdown_converter.documents -> joiner.documents (List[Document])\n", + " - html_converter.documents -> joiner.documents (List[Document])\n", + " - docx_converter.documents -> joiner.documents (List[Document])\n", + " - pptx_converter.documents -> joiner.documents (List[Document])\n", + " - xlsx_converter.documents -> joiner.documents (List[Document])\n", + " - csv_converter.documents -> joiner.documents (List[Document])\n", + " - joiner.documents -> cleaner.documents (List[Document])\n", + " - cleaner.documents -> splitter.documents (List[Document])\n", + " - document_embedder.documents -> writer.documents (List[Document])" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "from haystack import Pipeline\n", - "from haystack.components.routers.file_type_router import FileTypeRouter\n", - "from haystack.components.converters.txt import TextFileToDocument\n", - "from haystack.components.converters.pypdf import PyPDFToDocument\n", - "from haystack.components.converters.html import HTMLToDocument\n", + "from haystack.components.converters.csv import CSVToDocument\n", "from haystack.components.converters.docx import DOCXToDocument\n", + "from haystack.components.converters.html import HTMLToDocument\n", "from haystack.components.converters.pptx import PPTXToDocument\n", + "from haystack.components.converters.pypdf import PyPDFToDocument\n", + "from haystack.components.converters.txt import TextFileToDocument\n", "from haystack.components.converters.xlsx import XLSXToDocument\n", - "from haystack.components.converters.csv import CSVToDocument\n", + "from haystack.components.embedders.sentence_transformers_document_embedder import SentenceTransformersDocumentEmbedder\n", "from haystack.components.joiners.document_joiner import DocumentJoiner\n", - "from haystack.components.preprocessors.document_splitter import DocumentSplitter\n", "from haystack.components.preprocessors.document_cleaner import DocumentCleaner\n", - "from haystack.components.embedders.sentence_transformers_document_embedder import SentenceTransformersDocumentEmbedder\n", - "from haystack.document_stores.in_memory import InMemoryDocumentStore\n", + "from haystack.components.preprocessors.document_splitter import DocumentSplitter\n", + "from haystack.components.routers.file_type_router import FileTypeRouter\n", "from haystack.components.writers.document_writer import DocumentWriter\n", + "from haystack.document_stores.in_memory import InMemoryDocumentStore\n", "\n", "file_classifier = FileTypeRouter(\n", " mime_types=[\n", @@ -416,56 +470,7 @@ "pipeline.connect(\"xlsx_converter.documents\", \"joiner.documents\")\n", "pipeline.connect(\"csv_converter.documents\", \"joiner.documents\")\n", "pipeline.connect(\"document_embedder.documents\", \"writer.documents\")\n" - ], - "outputs": [ - { - "data": { - "text/plain": [ - "\n", - "🚅 Components\n", - " - file_classifier: FileTypeRouter\n", - " - text_converter: TextFileToDocument\n", - " - pdf_converter: PyPDFToDocument\n", - " - markdown_converter: TextFileToDocument\n", - " - html_converter: HTMLToDocument\n", - " - docx_converter: DOCXToDocument\n", - " - pptx_converter: PPTXToDocument\n", - " - xlsx_converter: XLSXToDocument\n", - " - csv_converter: CSVToDocument\n", - " - joiner: DocumentJoiner\n", - " - joiner_xlsx: DocumentJoiner\n", - " - splitter: DocumentSplitter\n", - " - cleaner: DocumentCleaner\n", - " - document_embedder: SentenceTransformersDocumentEmbedder\n", - " - writer: DocumentWriter\n", - "🛤️ Connections\n", - " - file_classifier.text/plain -> text_converter.sources (List[Union[str, Path, ByteStream]])\n", - " - file_classifier.application/pdf -> pdf_converter.sources (List[Union[str, Path, ByteStream]])\n", - " - file_classifier.text/markdown -> markdown_converter.sources (List[Union[str, Path, ByteStream]])\n", - " - file_classifier.text/html -> html_converter.sources (List[Union[str, Path, ByteStream]])\n", - " - file_classifier.application/vnd.openxmlformats-officedocument.wordprocessingml.document -> docx_converter.sources (List[Union[str, Path, ByteStream]])\n", - " - file_classifier.application/vnd.openxmlformats-officedocument.presentationml.presentation -> pptx_converter.sources (List[Union[str, Path, ByteStream]])\n", - " - file_classifier.application/vnd.openxmlformats-officedocument.spreadsheetml.sheet -> xlsx_converter.sources (List[Union[str, Path, ByteStream]])\n", - " - file_classifier.text/csv -> csv_converter.sources (List[Union[str, Path, ByteStream]])\n", - " - text_converter.documents -> joiner.documents (List[Document])\n", - " - pdf_converter.documents -> joiner.documents (List[Document])\n", - " - markdown_converter.documents -> joiner.documents (List[Document])\n", - " - html_converter.documents -> joiner.documents (List[Document])\n", - " - docx_converter.documents -> joiner.documents (List[Document])\n", - " - pptx_converter.documents -> joiner.documents (List[Document])\n", - " - xlsx_converter.documents -> joiner.documents (List[Document])\n", - " - csv_converter.documents -> joiner.documents (List[Document])\n", - " - joiner.documents -> cleaner.documents (List[Document])\n", - " - cleaner.documents -> splitter.documents (List[Document])\n", - " - document_embedder.documents -> writer.documents (List[Document])" - ] - }, - "execution_count": 35, - "metadata": {}, - "output_type": "execute_result" - } - ], - "execution_count": 35 + ] } ], "metadata": { diff --git a/haystack_experimental/super_components/converters/__init__.py b/haystack_experimental/super_components/converters/__init__.py index 98f47a14..7ff8a4a1 100644 --- a/haystack_experimental/super_components/converters/__init__.py +++ b/haystack_experimental/super_components/converters/__init__.py @@ -4,4 +4,4 @@ from haystack_experimental.super_components.converters.multi_file_converter import MultiFileConverter -_all_ = ["MultiFileConverter"] \ No newline at end of file +_all_ = ["MultiFileConverter"] diff --git a/haystack_experimental/super_components/indexers/document_indexer.py b/haystack_experimental/super_components/indexers/document_indexer.py index ac4edb17..0d377b1c 100644 --- a/haystack_experimental/super_components/indexers/document_indexer.py +++ b/haystack_experimental/super_components/indexers/document_indexer.py @@ -1,19 +1,24 @@ -from typing import Any, Dict, List, Optional, Literal +from typing import Any, Dict, List, Literal, Optional from haystack import Pipeline, component, default_from_dict, default_to_dict from haystack.components.embedders import SentenceTransformersDocumentEmbedder from haystack.components.writers import DocumentWriter -from haystack.document_stores.types import DuplicatePolicy, DocumentStore -from haystack.utils import ComponentDevice, Secret, deserialize_secrets_inplace, deserialize_document_store_in_init_params_inplace +from haystack.document_stores.types import DocumentStore, DuplicatePolicy +from haystack.utils import ( + ComponentDevice, + Secret, + deserialize_document_store_in_init_params_inplace, + deserialize_secrets_inplace, +) from haystack.utils.hf import deserialize_hf_model_kwargs, serialize_hf_model_kwargs + from haystack_experimental.core.super_component import SuperComponent @component class DocumentIndexer(SuperComponent): """ - A document indexer that takes a list of documents, embeds them using SentenceTransformers, - and stores them in a document store. + A document indexer that takes a list of documents, embeds them using SentenceTransformers, and stores them. Usage: @@ -30,7 +35,7 @@ class DocumentIndexer(SuperComponent): ``` """ - def __init__( + def __init__( # pylint: disable=R0917 self, document_store: DocumentStore, model: str = "sentence-transformers/all-mpnet-base-v2", @@ -188,4 +193,4 @@ def from_dict(cls, data: Dict[str, Any]) -> "DocumentIndexer": init_params["duplicate_policy"] = DuplicatePolicy(policy_value) data["init_parameters"] = init_params - return default_from_dict(cls, data) \ No newline at end of file + return default_from_dict(cls, data) diff --git a/haystack_experimental/super_components/preprocessors/__init__.py b/haystack_experimental/super_components/preprocessors/__init__.py index d5e1db1b..2e905683 100644 --- a/haystack_experimental/super_components/preprocessors/__init__.py +++ b/haystack_experimental/super_components/preprocessors/__init__.py @@ -6,4 +6,4 @@ __all__ = [ "DocumentPreProcessor", -] \ No newline at end of file +] diff --git a/haystack_experimental/super_components/preprocessors/document_preprocessor.py b/haystack_experimental/super_components/preprocessors/document_preprocessor.py index b86f08dd..eb7094b8 100644 --- a/haystack_experimental/super_components/preprocessors/document_preprocessor.py +++ b/haystack_experimental/super_components/preprocessors/document_preprocessor.py @@ -4,13 +4,12 @@ from typing import Any, Callable, Dict, List, Literal, Optional -from haystack import Pipeline, Document, component, default_from_dict, default_to_dict -from haystack.utils import serialize_callable, deserialize_callable - -from haystack_experimental.core.super_component import SuperComponent - +from haystack import Pipeline, component, default_from_dict, default_to_dict from haystack.components.preprocessors.document_cleaner import DocumentCleaner from haystack.components.preprocessors.document_splitter import DocumentSplitter, Language +from haystack.utils import deserialize_callable, serialize_callable + +from haystack_experimental.core.super_component import SuperComponent @component @@ -21,7 +20,7 @@ class DocumentPreProcessor(SuperComponent): It composes a DocumentCleaner followed by a DocumentSplitter in a single pipeline. """ - def __init__( + def __init__( # pylint: disable=R0917 self, # --- DocumentCleaner arguments --- remove_empty_lines: bool = True, @@ -60,12 +59,15 @@ def __init__( :param split_by: The unit of splitting: "function", "page", "passage", "period", "word", "line", or "sentence". :param split_length: The maximum number of units (words, lines, pages, etc.) in each split. :param split_overlap: The number of overlapping units between consecutive splits. - :param split_threshold: The minimum number of units per split. If a split is smaller than this, it's merged with the previous split. + :param split_threshold: The minimum number of units per split. If a split is smaller than this, it's merged + with the previous split. :param splitting_function: A custom function for splitting if `split_by="function"`. :param respect_sentence_boundary: If `True`, splits by words but tries not to break inside a sentence. - :param language: Language used by the sentence tokenizer if `split_by="sentence"` or `respect_sentence_boundary=True`. + :param language: Language used by the sentence tokenizer if `split_by="sentence"` or + `respect_sentence_boundary=True`. :param use_split_rules: Whether to apply additional splitting heuristics for the sentence splitter. - :param extend_abbreviations: Whether to extend the sentence splitter with curated abbreviations for certain languages. + :param extend_abbreviations: Whether to extend the sentence splitter with curated abbreviations for certain + languages. """ # Store arguments for serialization self.remove_empty_lines = remove_empty_lines @@ -128,7 +130,11 @@ def __init__( output_mapping = {"splitter.documents": "documents"} # Initialize the SuperComponent - super(DocumentPreProcessor, self).__init__(pipeline=pp, input_mapping=input_mapping, output_mapping=output_mapping) + super(DocumentPreProcessor, self).__init__( + pipeline=pp, + input_mapping=input_mapping, + output_mapping=output_mapping + ) def to_dict(self) -> Dict[str, Any]: """ @@ -165,6 +171,8 @@ def from_dict(cls, data: Dict[str, Any]) -> "DocumentPreProcessor": Load this instance from a dictionary. """ if "splitting_function" in data["init_parameters"]: - data["init_parameters"]["splitting_function"] = deserialize_callable(data["init_parameters"]["splitting_function"]) + data["init_parameters"]["splitting_function"] = deserialize_callable( + data["init_parameters"]["splitting_function"] + ) return default_from_dict(cls, data) From cbbb445982d8ecffdca19213ac4c0c0c97ea6eb1 Mon Sep 17 00:00:00 2001 From: mathislucka Date: Tue, 11 Feb 2025 10:52:47 +0100 Subject: [PATCH 27/37] license headers --- haystack_experimental/super_components/__init__.py | 3 +++ .../super_components/indexers/document_indexer.py | 4 ++++ 2 files changed, 7 insertions(+) diff --git a/haystack_experimental/super_components/__init__.py b/haystack_experimental/super_components/__init__.py index e69de29b..c1764a6e 100644 --- a/haystack_experimental/super_components/__init__.py +++ b/haystack_experimental/super_components/__init__.py @@ -0,0 +1,3 @@ +# SPDX-FileCopyrightText: 2022-present deepset GmbH +# +# SPDX-License-Identifier: Apache-2.0 diff --git a/haystack_experimental/super_components/indexers/document_indexer.py b/haystack_experimental/super_components/indexers/document_indexer.py index 0d377b1c..e5122454 100644 --- a/haystack_experimental/super_components/indexers/document_indexer.py +++ b/haystack_experimental/super_components/indexers/document_indexer.py @@ -1,3 +1,7 @@ +# SPDX-FileCopyrightText: 2022-present deepset GmbH +# +# SPDX-License-Identifier: Apache-2.0 + from typing import Any, Dict, List, Literal, Optional from haystack import Pipeline, component, default_from_dict, default_to_dict From e6149d0877beebcde850c375257b52b80fefbf40 Mon Sep 17 00:00:00 2001 From: mathislucka Date: Tue, 11 Feb 2025 11:00:40 +0100 Subject: [PATCH 28/37] add test dependencies --- pyproject.toml | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 53c66c59..4f328016 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -66,7 +66,15 @@ extra-dependencies = [ "amazon-bedrock-haystack>=1.1.1", "google-vertex-haystack>=2.0.0", # HierachicalSplitter w/ split_by="sentence" - "nltk" + "nltk", + # Tests for MultiFileConverter + "python-docx", + "trafilatura", + "markdown-it-py", + "mdit_plain", + "pypdf", + "python-pptx", + "openpyxl" ] [tool.hatch.envs.test.scripts] From 276bbfb5109efdd2317eca34443a0ea399daddd3 Mon Sep 17 00:00:00 2001 From: Julian Risch Date: Tue, 18 Feb 2025 21:01:06 +0100 Subject: [PATCH 29/37] ensure docx, pptx, xlsx MIME types are registered --- .../super_components/converters/multi_file_converter.py | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/haystack_experimental/super_components/converters/multi_file_converter.py b/haystack_experimental/super_components/converters/multi_file_converter.py index c3512f9a..cbe7a9ff 100644 --- a/haystack_experimental/super_components/converters/multi_file_converter.py +++ b/haystack_experimental/super_components/converters/multi_file_converter.py @@ -78,7 +78,13 @@ def __init__( # noqa: PLR0915 ConverterMimeType.PDF.value, ConverterMimeType.PPTX.value, ConverterMimeType.XLSX.value, - ] + ], + # Ensure common extensions are registered. Tests on Windows fail otherwise. + additional_mimetypes = { + "application/vnd.openxmlformats-officedocument.wordprocessingml.document": ".docx", + "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet": ".xlsx", + "application/vnd.openxmlformats-officedocument.presentationml.presentation": ".pptx" + } ) csv = CSVToDocument(encoding=self.encoding) From 4831a15ceab70bd73273b8b8c0eeef7ecbe7a2d1 Mon Sep 17 00:00:00 2001 From: mathislucka Date: Fri, 21 Feb 2025 13:49:47 +0100 Subject: [PATCH 30/37] chore: change markdown example --- test/test_files/markdown/sample.md | 65 +----------------------------- 1 file changed, 1 insertion(+), 64 deletions(-) diff --git a/test/test_files/markdown/sample.md b/test/test_files/markdown/sample.md index d39e32d4..e02535b7 100644 --- a/test/test_files/markdown/sample.md +++ b/test/test_files/markdown/sample.md @@ -1,65 +1,2 @@ ---- -type: intro -date: 1.1.2023 ---- -```bash -pip install farm-haystack -``` -## What to build with Haystack -- **Ask questions in natural language** and find granular answers in your own documents. -- Perform **semantic search** and retrieve documents according to meaning not keywords -- Use **off-the-shelf models** or **fine-tune** them to your own domain. -- Use **user feedback** to evaluate, benchmark and continuously improve your live models. -- Leverage existing **knowledge bases** and better handle the long tail of queries that **chatbots** receive. -- **Automate processes** by automatically applying a list of questions to new documents and using the extracted answers. - -![Logo](https://raw.githubusercontent.com/deepset-ai/haystack/main/docs/img/logo.png) - - -## Core Features - -- **Latest models**: Utilize all latest transformer based models (e.g. BERT, RoBERTa, MiniLM) for extractive QA, generative QA and document retrieval. -- **Modular**: Multiple choices to fit your tech stack and use case. Pick your favorite database, file converter or modeling framework. -- **Open**: 100% compatible with HuggingFace's model hub. Tight interfaces to other frameworks (e.g. Transformers, FARM, sentence-transformers) -- **Scalable**: Scale to millions of docs via retrievers, production-ready backends like Elasticsearch / FAISS and a fastAPI REST API -- **End-to-End**: All tooling in one place: file conversion, cleaning, splitting, training, eval, inference, labeling ... -- **Developer friendly**: Easy to debug, extend and modify. -- **Customizable**: Fine-tune models to your own domain or implement your custom DocumentStore. -- **Continuous Learning**: Collect new training data via user feedback in production & improve your models continuously - -| | | -|-|-| -| :ledger: [Docs](https://haystack.deepset.ai/overview/intro) | Usage, Guides, API documentation ...| -| :beginner: [Quick Demo](https://github.com/deepset-ai/haystack/#quick-demo) | Quickly see what Haystack offers | -| :floppy_disk: [Installation](https://github.com/deepset-ai/haystack/#installation) | How to install Haystack | -| :art: [Key Components](https://github.com/deepset-ai/haystack/#key-components) | Overview of core concepts | -| :mortar_board: [Tutorials](https://github.com/deepset-ai/haystack/#tutorials) | Jupyter/Colab Notebooks & Scripts | -| :eyes: [How to use Haystack](https://github.com/deepset-ai/haystack/#how-to-use-haystack) | Basic explanation of concepts, options and usage | -| :heart: [Contributing](https://github.com/deepset-ai/haystack/#heart-contributing) | We welcome all contributions! | -| :bar_chart: [Benchmarks](https://haystack.deepset.ai/benchmarks/v0.9.0) | Speed & Accuracy of Retriever, Readers and DocumentStores | -| :telescope: [Roadmap](https://haystack.deepset.ai/overview/roadmap) | Public roadmap of Haystack | -| :pray: [Slack](https://haystack.deepset.ai/community/join) | Join our community on Slack | -| :bird: [Twitter](https://twitter.com/deepset_ai) | Follow us on Twitter for news and updates | -| :newspaper: [Blog](https://medium.com/deepset-ai) | Read our articles on Medium | - - -## Quick Demo - -The quickest way to see what Haystack offers is to start a [Docker Compose](https://docs.docker.com/compose/) demo application: - -**1. Update/install Docker and Docker Compose, then launch Docker** - -``` - # apt-get update && apt-get install docker && apt-get install docker-compose - # service docker start -``` - -**2. Clone Haystack repository** - -``` - # git clone https://github.com/deepset-ai/haystack.git -``` - -### 2nd level headline for testing purposes -#### 3rd level headline for testing purposes +## A test document for markdown From 75c30977842db511c55f830ba1d64d950f9da5f1 Mon Sep 17 00:00:00 2001 From: mathislucka Date: Fri, 21 Feb 2025 13:53:41 +0100 Subject: [PATCH 31/37] chore: rename DocumentIndexer --- examples/super_components.ipynb | 4 ++-- .../super_components/indexers/__init__.py | 6 +++-- ...sentence_transformers_document_indexer.py} | 10 ++++---- .../indexers/test_document_indexer.py | 24 +++++++++---------- 4 files changed, 23 insertions(+), 21 deletions(-) rename haystack_experimental/super_components/indexers/{document_indexer.py => sentence_transformers_document_indexer.py} (96%) diff --git a/examples/super_components.ipynb b/examples/super_components.ipynb index 2d41008c..135753ee 100644 --- a/examples/super_components.ipynb +++ b/examples/super_components.ipynb @@ -68,7 +68,7 @@ "from haystack.document_stores.in_memory import InMemoryDocumentStore\n", "\n", "from haystack_experimental.super_components.converters import MultiFileConverter\n", - "from haystack_experimental.super_components.indexers import DocumentIndexer\n", + "from haystack_experimental.super_components.indexers import SentenceTransformersDocumentIndexer\n", "from haystack_experimental.super_components.preprocessors import DocumentPreProcessor" ] }, @@ -117,7 +117,7 @@ "file_converter = MultiFileConverter()\n", "preprocessor = DocumentPreProcessor()\n", "document_store = InMemoryDocumentStore()\n", - "indexer = DocumentIndexer(document_store=document_store)\n", + "indexer = SentenceTransformersDocumentIndexer(document_store=document_store)\n", "\n", "pipe = Pipeline()\n", "\n", diff --git a/haystack_experimental/super_components/indexers/__init__.py b/haystack_experimental/super_components/indexers/__init__.py index c6a2c154..29aa83d0 100644 --- a/haystack_experimental/super_components/indexers/__init__.py +++ b/haystack_experimental/super_components/indexers/__init__.py @@ -2,8 +2,10 @@ # # SPDX-License-Identifier: Apache-2.0 -from haystack_experimental.super_components.indexers.document_indexer import DocumentIndexer +from haystack_experimental.super_components.indexers.sentence_transformers_document_indexer import ( + SentenceTransformersDocumentIndexer +) __all__ = [ - "DocumentIndexer", + "SentenceTransformersDocumentIndexer", ] diff --git a/haystack_experimental/super_components/indexers/document_indexer.py b/haystack_experimental/super_components/indexers/sentence_transformers_document_indexer.py similarity index 96% rename from haystack_experimental/super_components/indexers/document_indexer.py rename to haystack_experimental/super_components/indexers/sentence_transformers_document_indexer.py index e5122454..0f335e13 100644 --- a/haystack_experimental/super_components/indexers/document_indexer.py +++ b/haystack_experimental/super_components/indexers/sentence_transformers_document_indexer.py @@ -20,7 +20,7 @@ @component -class DocumentIndexer(SuperComponent): +class SentenceTransformersDocumentIndexer(SuperComponent): """ A document indexer that takes a list of documents, embeds them using SentenceTransformers, and stores them. @@ -29,7 +29,7 @@ class DocumentIndexer(SuperComponent): ```python >>> from haystack import Document >>> doc = Document(content="I love pizza!") - >>> indexer = DocumentIndexer() + >>> indexer = SentenceTransformersDocumentIndexer() >>> indexer.warm_up() >>> result = indexer.run(documents=[doc]) >>> print(result) @@ -61,7 +61,7 @@ def __init__( # pylint: disable=R0917 duplicate_policy: DuplicatePolicy = DuplicatePolicy.OVERWRITE, ) -> None: """ - Initialize the DocumentIndexer component. + Initialize the SentenceTransformersDocumentIndexer component. :param document_store: The document store where the documents should be stored. :param model: The embedding model to use (local path or Hugging Face model ID). @@ -134,7 +134,7 @@ def __init__( # pylint: disable=R0917 pipeline.connect("embedder.documents", "writer.documents") - super(DocumentIndexer, self).__init__( + super(SentenceTransformersDocumentIndexer, self).__init__( pipeline=pipeline, input_mapping={"documents": ["embedder.documents"]}, output_mapping={"writer.documents_written": "documents_written"}, @@ -172,7 +172,7 @@ def to_dict(self) -> Dict[str, Any]: return serialization_dict @classmethod - def from_dict(cls, data: Dict[str, Any]) -> "DocumentIndexer": + def from_dict(cls, data: Dict[str, Any]) -> "SentenceTransformersDocumentIndexer": """ Load an instance of this component from a dictionary. """ diff --git a/test/super_components/indexers/test_document_indexer.py b/test/super_components/indexers/test_document_indexer.py index 8b6a9e2c..c1f63212 100644 --- a/test/super_components/indexers/test_document_indexer.py +++ b/test/super_components/indexers/test_document_indexer.py @@ -6,7 +6,7 @@ from uuid import UUID import pytest -from haystack_experimental.super_components.indexers import DocumentIndexer +from haystack_experimental.super_components.indexers import SentenceTransformersDocumentIndexer from haystack import Document, Pipeline from haystack.document_stores.in_memory import InMemoryDocumentStore @@ -16,11 +16,11 @@ class TestDocumentIndexer: @pytest.fixture - def indexer(self) -> DocumentIndexer: - return DocumentIndexer(document_store=InMemoryDocumentStore()) + def indexer(self) -> SentenceTransformersDocumentIndexer: + return SentenceTransformersDocumentIndexer(document_store=InMemoryDocumentStore()) @pytest.fixture - def embedding_backend(self, indexer: DocumentIndexer, monkeypatch: pytest.MonkeyPatch) -> Mock: + def embedding_backend(self, indexer: SentenceTransformersDocumentIndexer, monkeypatch: pytest.MonkeyPatch) -> Mock: backend = Mock() backend.embed.return_value = [ [0.3, 0.4, 0.01, 0.7], @@ -32,7 +32,7 @@ def embedding_backend(self, indexer: DocumentIndexer, monkeypatch: pytest.Monkey return backend - def test_init(self, indexer: DocumentIndexer) -> None: + def test_init(self, indexer: SentenceTransformersDocumentIndexer) -> None: assert isinstance(indexer.pipeline, Pipeline) assert indexer.input_mapping == {"documents": ["embedder.documents"]} assert indexer.output_mapping == {"writer.documents_written": "documents_written"} @@ -50,7 +50,7 @@ def test_init(self, indexer: DocumentIndexer) -> None: assert UUID(writer.document_store.index, version=4) def test_from_dict(self) -> None: - indexer = DocumentIndexer.from_dict( + indexer = SentenceTransformersDocumentIndexer.from_dict( { "init_parameters": { 'document_store': { @@ -70,12 +70,12 @@ def test_from_dict(self) -> None: "meta_fields_to_embed": None, "duplicate_policy": "overwrite", }, - "type": "haystack_experimental.super_components.indexers.document_indexer.DocumentIndexer", + "type": "haystack_experimental.super_components.indexers.sentence_transfoermers_document_indexer.SentenceTransformersDocumentIndexer", } ) - assert isinstance(indexer, DocumentIndexer) + assert isinstance(indexer, SentenceTransformersDocumentIndexer) - def test_to_dict(self, indexer: DocumentIndexer) -> None: + def test_to_dict(self, indexer: SentenceTransformersDocumentIndexer) -> None: expected = {'init_parameters': {'batch_size': 32, 'config_kwargs': None, 'device': None, @@ -101,11 +101,11 @@ def test_to_dict(self, indexer: DocumentIndexer) -> None: 'tokenizer_kwargs': None, 'truncate_dim': None, 'trust_remote_code': False}, - 'type': 'haystack_experimental.super_components.indexers.document_indexer.DocumentIndexer' + 'type': 'haystack_experimental.super_components.indexers.sentence_transformers_document_indexer.SentenceTransformersDocumentIndexer' } assert indexer.to_dict() == expected - def test_warm_up(self, indexer: DocumentIndexer, monkeypatch: pytest.MonkeyPatch) -> None: + def test_warm_up(self, indexer: SentenceTransformersDocumentIndexer, monkeypatch: pytest.MonkeyPatch) -> None: with monkeypatch.context() as m: m.setattr(indexer.pipeline, "warm_up", Mock()) @@ -113,7 +113,7 @@ def test_warm_up(self, indexer: DocumentIndexer, monkeypatch: pytest.MonkeyPatch indexer.pipeline.warm_up.assert_called_once() - def test_run(self, indexer: DocumentIndexer, embedding_backend: Mock) -> None: + def test_run(self, indexer: SentenceTransformersDocumentIndexer, embedding_backend: Mock) -> None: documents = [ Document(content="Test document"), Document(content="Another test document"), From c5d491469da111cc21942780a1174a1a0feb5cd4 Mon Sep 17 00:00:00 2001 From: mathislucka Date: Fri, 21 Feb 2025 13:55:07 +0100 Subject: [PATCH 32/37] chore: add init --- .../super_components/converters/multi_file_converter.py | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/haystack_experimental/super_components/converters/multi_file_converter.py b/haystack_experimental/super_components/converters/multi_file_converter.py index cbe7a9ff..c8538c0d 100644 --- a/haystack_experimental/super_components/converters/multi_file_converter.py +++ b/haystack_experimental/super_components/converters/multi_file_converter.py @@ -63,6 +63,12 @@ def __init__( # noqa: PLR0915 encoding: str = "utf-8", json_content_key: str = "content", ) -> None: + """ + Initialize the MultiFileConverter. + + :param encoding: The encoding to use when reading files. + :param json_content_key: The key to use as content-field in a document when converting json-files. + """ self.encoding = encoding self.json_content_key = json_content_key From 9e17d1d6d4c2656307ac094226db7fb1ee88840d Mon Sep 17 00:00:00 2001 From: mathislucka Date: Fri, 21 Feb 2025 13:55:36 +0100 Subject: [PATCH 33/37] chore: lint --- .../super_components/converters/multi_file_converter.py | 4 ++-- haystack_experimental/super_components/indexers/__init__.py | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/haystack_experimental/super_components/converters/multi_file_converter.py b/haystack_experimental/super_components/converters/multi_file_converter.py index c8538c0d..9faf1155 100644 --- a/haystack_experimental/super_components/converters/multi_file_converter.py +++ b/haystack_experimental/super_components/converters/multi_file_converter.py @@ -87,8 +87,8 @@ def __init__( # noqa: PLR0915 ], # Ensure common extensions are registered. Tests on Windows fail otherwise. additional_mimetypes = { - "application/vnd.openxmlformats-officedocument.wordprocessingml.document": ".docx", - "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet": ".xlsx", + "application/vnd.openxmlformats-officedocument.wordprocessingml.document": ".docx", + "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet": ".xlsx", "application/vnd.openxmlformats-officedocument.presentationml.presentation": ".pptx" } ) diff --git a/haystack_experimental/super_components/indexers/__init__.py b/haystack_experimental/super_components/indexers/__init__.py index 29aa83d0..0f617cbd 100644 --- a/haystack_experimental/super_components/indexers/__init__.py +++ b/haystack_experimental/super_components/indexers/__init__.py @@ -3,7 +3,7 @@ # SPDX-License-Identifier: Apache-2.0 from haystack_experimental.super_components.indexers.sentence_transformers_document_indexer import ( - SentenceTransformersDocumentIndexer + SentenceTransformersDocumentIndexer, ) __all__ = [ From 54677244d86fde8316221d5e40f6b9ce6b841918 Mon Sep 17 00:00:00 2001 From: mathislucka Date: Fri, 21 Feb 2025 13:57:27 +0100 Subject: [PATCH 34/37] fix: typo --- test/super_components/indexers/test_document_indexer.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/test/super_components/indexers/test_document_indexer.py b/test/super_components/indexers/test_document_indexer.py index c1f63212..19442c1d 100644 --- a/test/super_components/indexers/test_document_indexer.py +++ b/test/super_components/indexers/test_document_indexer.py @@ -70,7 +70,7 @@ def test_from_dict(self) -> None: "meta_fields_to_embed": None, "duplicate_policy": "overwrite", }, - "type": "haystack_experimental.super_components.indexers.sentence_transfoermers_document_indexer.SentenceTransformersDocumentIndexer", + "type": "haystack_experimental.super_components.indexers.sentence_transformers_document_indexer.SentenceTransformersDocumentIndexer", } ) assert isinstance(indexer, SentenceTransformersDocumentIndexer) From 2713e30346f86e355f9658adf59a3fb9a2ce0a16 Mon Sep 17 00:00:00 2001 From: mathislucka Date: Fri, 21 Feb 2025 14:00:57 +0100 Subject: [PATCH 35/37] docs: update docstring --- .../indexers/sentence_transformers_document_indexer.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/haystack_experimental/super_components/indexers/sentence_transformers_document_indexer.py b/haystack_experimental/super_components/indexers/sentence_transformers_document_indexer.py index 0f335e13..ead1db18 100644 --- a/haystack_experimental/super_components/indexers/sentence_transformers_document_indexer.py +++ b/haystack_experimental/super_components/indexers/sentence_transformers_document_indexer.py @@ -28,13 +28,15 @@ class SentenceTransformersDocumentIndexer(SuperComponent): ```python >>> from haystack import Document + >>> from haystack.document_stores.in_memory import InMemoryDocumentStore + >>> document_store = InMemoryDocumentStore() >>> doc = Document(content="I love pizza!") - >>> indexer = SentenceTransformersDocumentIndexer() + >>> indexer = SentenceTransformersDocumentIndexer(document_store=document_store) >>> indexer.warm_up() >>> result = indexer.run(documents=[doc]) >>> print(result) {'documents_written': 1} - >>> indexer.pipeline.get_component("writer").document_store.count_documents() + >>> document_store.count_documents() 1 ``` """ From b767d8bb01572e98e17ad93cb743792eb5b6bb4a Mon Sep 17 00:00:00 2001 From: mathislucka Date: Fri, 21 Feb 2025 14:03:28 +0100 Subject: [PATCH 36/37] docs: update docstring --- .../preprocessors/document_preprocessor.py | 12 +++++++++++- 1 file changed, 11 insertions(+), 1 deletion(-) diff --git a/haystack_experimental/super_components/preprocessors/document_preprocessor.py b/haystack_experimental/super_components/preprocessors/document_preprocessor.py index eb7094b8..a0ba3b62 100644 --- a/haystack_experimental/super_components/preprocessors/document_preprocessor.py +++ b/haystack_experimental/super_components/preprocessors/document_preprocessor.py @@ -17,7 +17,17 @@ class DocumentPreProcessor(SuperComponent): """ A SuperComponent that cleans documents and then splits them. - It composes a DocumentCleaner followed by a DocumentSplitter in a single pipeline. + This component composes a DocumentCleaner followed by a DocumentSplitter in a single pipeline. + It takes a list of documents as input and returns a processed list of documents. + + Usage: + ```python + from haystack import Document + doc = Document(content="I love pizza!") + preprocessor = DocumentPreProcessor() + results = preprocessor.run(documents=[doc]) + print(result["documents"]) + ``` """ def __init__( # pylint: disable=R0917 From e071f0129cbdb8d6f910ae8193a108ecaa14d8d4 Mon Sep 17 00:00:00 2001 From: mathislucka Date: Fri, 21 Feb 2025 16:44:42 +0100 Subject: [PATCH 37/37] exchange other sample too --- examples/sample_files/sample.md | 65 +-------------------------------- 1 file changed, 1 insertion(+), 64 deletions(-) diff --git a/examples/sample_files/sample.md b/examples/sample_files/sample.md index d39e32d4..e02535b7 100644 --- a/examples/sample_files/sample.md +++ b/examples/sample_files/sample.md @@ -1,65 +1,2 @@ ---- -type: intro -date: 1.1.2023 ---- -```bash -pip install farm-haystack -``` -## What to build with Haystack -- **Ask questions in natural language** and find granular answers in your own documents. -- Perform **semantic search** and retrieve documents according to meaning not keywords -- Use **off-the-shelf models** or **fine-tune** them to your own domain. -- Use **user feedback** to evaluate, benchmark and continuously improve your live models. -- Leverage existing **knowledge bases** and better handle the long tail of queries that **chatbots** receive. -- **Automate processes** by automatically applying a list of questions to new documents and using the extracted answers. - -![Logo](https://raw.githubusercontent.com/deepset-ai/haystack/main/docs/img/logo.png) - - -## Core Features - -- **Latest models**: Utilize all latest transformer based models (e.g. BERT, RoBERTa, MiniLM) for extractive QA, generative QA and document retrieval. -- **Modular**: Multiple choices to fit your tech stack and use case. Pick your favorite database, file converter or modeling framework. -- **Open**: 100% compatible with HuggingFace's model hub. Tight interfaces to other frameworks (e.g. Transformers, FARM, sentence-transformers) -- **Scalable**: Scale to millions of docs via retrievers, production-ready backends like Elasticsearch / FAISS and a fastAPI REST API -- **End-to-End**: All tooling in one place: file conversion, cleaning, splitting, training, eval, inference, labeling ... -- **Developer friendly**: Easy to debug, extend and modify. -- **Customizable**: Fine-tune models to your own domain or implement your custom DocumentStore. -- **Continuous Learning**: Collect new training data via user feedback in production & improve your models continuously - -| | | -|-|-| -| :ledger: [Docs](https://haystack.deepset.ai/overview/intro) | Usage, Guides, API documentation ...| -| :beginner: [Quick Demo](https://github.com/deepset-ai/haystack/#quick-demo) | Quickly see what Haystack offers | -| :floppy_disk: [Installation](https://github.com/deepset-ai/haystack/#installation) | How to install Haystack | -| :art: [Key Components](https://github.com/deepset-ai/haystack/#key-components) | Overview of core concepts | -| :mortar_board: [Tutorials](https://github.com/deepset-ai/haystack/#tutorials) | Jupyter/Colab Notebooks & Scripts | -| :eyes: [How to use Haystack](https://github.com/deepset-ai/haystack/#how-to-use-haystack) | Basic explanation of concepts, options and usage | -| :heart: [Contributing](https://github.com/deepset-ai/haystack/#heart-contributing) | We welcome all contributions! | -| :bar_chart: [Benchmarks](https://haystack.deepset.ai/benchmarks/v0.9.0) | Speed & Accuracy of Retriever, Readers and DocumentStores | -| :telescope: [Roadmap](https://haystack.deepset.ai/overview/roadmap) | Public roadmap of Haystack | -| :pray: [Slack](https://haystack.deepset.ai/community/join) | Join our community on Slack | -| :bird: [Twitter](https://twitter.com/deepset_ai) | Follow us on Twitter for news and updates | -| :newspaper: [Blog](https://medium.com/deepset-ai) | Read our articles on Medium | - - -## Quick Demo - -The quickest way to see what Haystack offers is to start a [Docker Compose](https://docs.docker.com/compose/) demo application: - -**1. Update/install Docker and Docker Compose, then launch Docker** - -``` - # apt-get update && apt-get install docker && apt-get install docker-compose - # service docker start -``` - -**2. Clone Haystack repository** - -``` - # git clone https://github.com/deepset-ai/haystack.git -``` - -### 2nd level headline for testing purposes -#### 3rd level headline for testing purposes +## A test document for markdown