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import logging
from abc import ABC
from enum import Enum
from typing import TYPE_CHECKING, Any, ClassVar, Optional
from pydantic import Field
from core.base.abstractions import ChunkEnrichmentSettings
from .base import AppConfig, Provider, ProviderConfig
from .llm import CompletionProvider
logger = logging.getLogger()
if TYPE_CHECKING:
from core.providers.database import PostgresDatabaseProvider
class ChunkingStrategy(str, Enum):
RECURSIVE = "recursive"
CHARACTER = "character"
BASIC = "basic"
BY_TITLE = "by_title"
class IngestionMode(str, Enum):
hi_res = "hi-res"
fast = "fast"
custom = "custom"
class IngestionConfig(ProviderConfig):
_defaults: ClassVar[dict] = {
"app": AppConfig(),
"provider": "r2r",
"excluded_parsers": ["mp4"],
"chunking_strategy": "recursive",
"chunk_size": 1024,
"chunk_enrichment_settings": ChunkEnrichmentSettings(),
"extra_parsers": {},
"audio_transcription_model": None,
"vision_img_prompt_name": "vision_img",
"vision_pdf_prompt_name": "vision_pdf",
"skip_document_summary": False,
"document_summary_system_prompt": "system",
"document_summary_task_prompt": "summary",
"document_summary_max_length": 100_000,
"chunks_for_document_summary": 128,
"document_summary_model": None,
"parser_overrides": {},
"extra_fields": {},
"automatic_extraction": False,
}
provider: str = Field(
default_factory=lambda: IngestionConfig._defaults["provider"]
)
excluded_parsers: list[str] = Field(
default_factory=lambda: IngestionConfig._defaults["excluded_parsers"]
)
chunking_strategy: str | ChunkingStrategy = Field(
default_factory=lambda: IngestionConfig._defaults["chunking_strategy"]
)
chunk_size: int = Field(
default_factory=lambda: IngestionConfig._defaults["chunk_size"]
)
chunk_enrichment_settings: ChunkEnrichmentSettings = Field(
default_factory=lambda: IngestionConfig._defaults[
"chunk_enrichment_settings"
]
)
extra_parsers: dict[str, Any] = Field(
default_factory=lambda: IngestionConfig._defaults["extra_parsers"]
)
audio_transcription_model: Optional[str] = Field(
default_factory=lambda: IngestionConfig._defaults[
"audio_transcription_model"
]
)
vision_img_prompt_name: str = Field(
default_factory=lambda: IngestionConfig._defaults[
"vision_img_prompt_name"
]
)
vision_pdf_prompt_name: str = Field(
default_factory=lambda: IngestionConfig._defaults[
"vision_pdf_prompt_name"
]
)
skip_document_summary: bool = Field(
default_factory=lambda: IngestionConfig._defaults[
"skip_document_summary"
]
)
document_summary_system_prompt: str = Field(
default_factory=lambda: IngestionConfig._defaults[
"document_summary_system_prompt"
]
)
document_summary_task_prompt: str = Field(
default_factory=lambda: IngestionConfig._defaults[
"document_summary_task_prompt"
]
)
chunks_for_document_summary: int = Field(
default_factory=lambda: IngestionConfig._defaults[
"chunks_for_document_summary"
]
)
document_summary_model: Optional[str] = Field(
default_factory=lambda: IngestionConfig._defaults[
"document_summary_model"
]
)
parser_overrides: dict[str, str] = Field(
default_factory=lambda: IngestionConfig._defaults["parser_overrides"]
)
automatic_extraction: bool = Field(
default_factory=lambda: IngestionConfig._defaults[
"automatic_extraction"
]
)
document_summary_max_length: int = Field(
default_factory=lambda: IngestionConfig._defaults[
"document_summary_max_length"
]
)
@classmethod
def set_default(cls, **kwargs):
for key, value in kwargs.items():
if key in cls._defaults:
cls._defaults[key] = value
else:
raise AttributeError(
f"No default attribute '{key}' in IngestionConfig"
)
@property
def supported_providers(self) -> list[str]:
return ["r2r", "unstructured_local", "unstructured_api"]
def validate_config(self) -> None:
if self.provider not in self.supported_providers:
raise ValueError(f"Provider {self.provider} is not supported.")
@classmethod
def get_default(cls, mode: str, app) -> "IngestionConfig":
"""Return default ingestion configuration for a given mode."""
if mode == "hi-res":
return cls(app=app, parser_overrides={"pdf": "zerox"})
if mode == "fast":
return cls(app=app, skip_document_summary=True)
else:
return cls(app=app)
class IngestionProvider(Provider, ABC):
config: IngestionConfig
database_provider: "PostgresDatabaseProvider"
llm_provider: CompletionProvider
def __init__(
self,
config: IngestionConfig,
database_provider: "PostgresDatabaseProvider",
llm_provider: CompletionProvider,
):
super().__init__(config)
self.config: IngestionConfig = config
self.llm_provider = llm_provider
self.database_provider: "PostgresDatabaseProvider" = database_provider
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