diff --git a/deepsearch/chemistry/queries/molecules.py b/deepsearch/chemistry/queries/molecules.py index 445b62a2..00248b1b 100644 --- a/deepsearch/chemistry/queries/molecules.py +++ b/deepsearch/chemistry/queries/molecules.py @@ -1,7 +1,7 @@ from enum import Enum from typing import List, Union -from pydantic.v1 import BaseModel +from pydantic import BaseModel from deepsearch.cps.client.queries import Query diff --git a/deepsearch/core/client/config.py b/deepsearch/core/client/config.py index 83dc0f14..dc23907b 100644 --- a/deepsearch/core/client/config.py +++ b/deepsearch/core/client/config.py @@ -1,6 +1,6 @@ from typing import Union -from pydantic.v1 import BaseModel +from pydantic import BaseModel class DeepSearchBearerTokenAuth(BaseModel): diff --git a/deepsearch/core/client/settings.py b/deepsearch/core/client/settings.py index da90e8a8..0c4e550c 100644 --- a/deepsearch/core/client/settings.py +++ b/deepsearch/core/client/settings.py @@ -4,17 +4,18 @@ from pathlib import Path from typing import Dict, Optional, Union -from pydantic.v1 import BaseSettings, SecretStr +from pydantic import SecretStr +from pydantic_settings import BaseSettings, SettingsConfigDict class DumpableSettings(BaseSettings): @classmethod - def get_env_var_name(cls, attr_name) -> str: - return cls.Config.env_prefix + attr_name.upper() + def get_env_var_name(cls, attr_name: str) -> str: + return cls.model_config["env_prefix"] + attr_name.upper() def _get_serializable_dict(self) -> Dict[str, str]: result = {} - model_dict = self.dict() + model_dict = self.model_dump() for k in model_dict: new_key = self.get_env_var_name(attr_name=k) if isinstance((old_val := model_dict[k]), SecretStr): @@ -38,9 +39,7 @@ class ProfileSettings(DumpableSettings): username: str api_key: SecretStr verify_ssl: bool = True - - class Config: - env_prefix = "DEEPSEARCH_" + model_config = SettingsConfigDict(env_prefix="DEEPSEARCH_") @classmethod def from_cli_prompt(cls) -> ProfileSettings: @@ -54,13 +53,9 @@ def from_cli_prompt(cls) -> ProfileSettings: class MainSettings(DumpableSettings): profile: Optional[str] = None - - class Config: - env_prefix = "DEEPSEARCH_" + model_config = SettingsConfigDict(env_prefix="DEEPSEARCH_") class CLISettings(DumpableSettings): show_cli_stack_traces: bool = False - - class Config: - env_prefix = "DEEPSEARCH_" + model_config = SettingsConfigDict(env_prefix="DEEPSEARCH_") diff --git a/deepsearch/core/client/settings_manager.py b/deepsearch/core/client/settings_manager.py index 396187b3..fa15d870 100644 --- a/deepsearch/core/client/settings_manager.py +++ b/deepsearch/core/client/settings_manager.py @@ -5,7 +5,7 @@ from typing import Dict, List, Optional import platformdirs -from pydantic.v1 import ValidationError +from pydantic import ValidationError from deepsearch.core.cli.profile_utils import ( MSG_AMBIGUOUS_SUCCESSOR, @@ -111,7 +111,7 @@ def _migrate_legacy_config(self) -> None: if self._main_settings.profile is None: legacy_cfg_path = self.config_root_path / LEGACY_CFG_FILENAME if legacy_cfg_path.exists(): - legacy_cfg = DeepSearchConfig.parse_file(legacy_cfg_path) + legacy_cfg = DeepSearchConfig.model_validate(legacy_cfg_path) if isinstance(legacy_cfg.auth, DeepSearchKeyAuth): new_cfg = ProfileSettings( host=legacy_cfg.host, diff --git a/deepsearch/cps/cli/data_indices_typer.py b/deepsearch/cps/cli/data_indices_typer.py index 6dec71e4..9bbefa04 100644 --- a/deepsearch/cps/cli/data_indices_typer.py +++ b/deepsearch/cps/cli/data_indices_typer.py @@ -165,7 +165,7 @@ def upload_files( if conv_settings is not None: try: - final_conv_settings = ConversionSettings.parse_obj( + final_conv_settings = ConversionSettings.model_validate( json.loads(conv_settings) ) except json.JSONDecodeError: @@ -177,7 +177,7 @@ def upload_files( if target_settings is not None: try: - final_target_settings = TargetSettings.parse_file(target_settings) + final_target_settings = TargetSettings.model_validate_json(target_settings) except Exception as e: raise e else: diff --git a/deepsearch/cps/client/api.py b/deepsearch/cps/client/api.py index 6472d4b4..a989c478 100644 --- a/deepsearch/cps/client/api.py +++ b/deepsearch/cps/client/api.py @@ -3,7 +3,7 @@ from typing import Optional import requests -from pydantic.v1 import ValidationError +from pydantic import ValidationError import deepsearch.cps.apis.user from deepsearch.core.client import ( diff --git a/deepsearch/cps/client/components/data_indices.py b/deepsearch/cps/client/components/data_indices.py index 10c97730..a8357c3e 100644 --- a/deepsearch/cps/client/components/data_indices.py +++ b/deepsearch/cps/client/components/data_indices.py @@ -8,7 +8,7 @@ from urllib.parse import urlparse import requests -from pydantic.v1 import BaseModel +from pydantic import BaseModel from deepsearch.cps.apis import public as sw_client from deepsearch.cps.apis.public.models.attachment_upload_data import ( @@ -40,7 +40,7 @@ def list(self, proj_key: str) -> List[DataIndex]: # filter out saved searchs index return [ - DataIndex.parse_obj(item.to_dict()) + DataIndex.model_validate(item.to_dict()) for item in response if item.to_dict()["type"] != "View" ] @@ -94,7 +94,7 @@ def create( self.sw_api.create_project_data_index(proj_key=proj_key, data=data) ) - return DataIndex.parse_obj(response.to_dict()) + return DataIndex.model_validate(response.to_dict()) def delete( self, @@ -146,7 +146,7 @@ def convert_from_page_urls( task: Task = self.sw_api.html_print_convert_upload( proj_key=coords.proj_key, index_key=coords.index_key, - body={"urls": [item.dict() for item in urls]}, + body={"urls": [item.model_dump() for item in urls]}, ) return task diff --git a/deepsearch/cps/client/components/documents.py b/deepsearch/cps/client/components/documents.py index 7ff7b2a3..40cf1797 100644 --- a/deepsearch/cps/client/components/documents.py +++ b/deepsearch/cps/client/components/documents.py @@ -5,7 +5,7 @@ import urllib.parse from typing import TYPE_CHECKING, Any, Dict, Optional, Union -from pydantic.v1 import BaseModel +from pydantic import BaseModel from deepsearch.cps.apis.public_v2 import SemanticApi from deepsearch.cps.apis.public_v2.models.cps_task import CpsTask diff --git a/deepsearch/cps/client/components/elastic.py b/deepsearch/cps/client/components/elastic.py index b814f62d..0995d816 100644 --- a/deepsearch/cps/client/components/elastic.py +++ b/deepsearch/cps/client/components/elastic.py @@ -3,7 +3,7 @@ import datetime from typing import TYPE_CHECKING, Any, Dict, List, Union -from pydantic.v1 import BaseModel +from pydantic import BaseModel from deepsearch.cps.apis import public as sw_client from deepsearch.cps.client.components.data_indices import ( @@ -31,7 +31,9 @@ def list(self, domain: str = "all") -> List[ElasticDataCollection]: index_type="all", index_domain=domain ) - return [ElasticDataCollection.parse_obj(item.to_dict()) for item in response] + return [ + ElasticDataCollection.model_validate(item.to_dict()) for item in response + ] class ElasticDataCollectionSource(BaseModel): diff --git a/deepsearch/cps/client/components/projects.py b/deepsearch/cps/client/components/projects.py index 8228e349..4c48d25d 100644 --- a/deepsearch/cps/client/components/projects.py +++ b/deepsearch/cps/client/components/projects.py @@ -4,7 +4,7 @@ from enum import Enum from typing import TYPE_CHECKING, List, Literal, Optional, Union -from pydantic.v1 import BaseModel +from pydantic import BaseModel import deepsearch.cps.apis.user from deepsearch.cps.apis.user.models.token_response import TokenResponse diff --git a/deepsearch/cps/client/components/uploader.py b/deepsearch/cps/client/components/uploader.py index e008b957..c2fa10c1 100644 --- a/deepsearch/cps/client/components/uploader.py +++ b/deepsearch/cps/client/components/uploader.py @@ -4,7 +4,7 @@ from typing import TYPE_CHECKING, Union import requests -from pydantic.v1 import BaseModel +from pydantic import BaseModel from deepsearch.cps.apis import public as sw_client from deepsearch.cps.apis.public.models.temporary_upload_file_result import ( diff --git a/deepsearch/cps/data_indices/utils.py b/deepsearch/cps/data_indices/utils.py index 9cbd71a8..d8169c6a 100644 --- a/deepsearch/cps/data_indices/utils.py +++ b/deepsearch/cps/data_indices/utils.py @@ -168,7 +168,9 @@ def process_local_file( if conv_settings is not None: payload["conversion_settings"] = conv_settings.to_ccs_spec() if target_settings is not None: - payload["target_settings"] = target_settings.dict(exclude_none=True) + payload["target_settings"] = target_settings.model_dump( + exclude_none=True + ) task_id = api.data_indices.upload_file(coords=coords, body=payload) task_ids.append(task_id) @@ -203,7 +205,7 @@ def process_external_cos( bar_format=progressbar.bar_format, ) as progress: # upload using coordinates - payload = {"s3_source": {"coordinates": s3_coordinates.dict()}} + payload = {"s3_source": {"coordinates": s3_coordinates.model_dump()}} task_id = api.data_indices.upload_file( coords=coords, body=payload, diff --git a/deepsearch/cps/queries/__init__.py b/deepsearch/cps/queries/__init__.py index 9ba514cd..3ede8a23 100644 --- a/deepsearch/cps/queries/__init__.py +++ b/deepsearch/cps/queries/__init__.py @@ -1,6 +1,7 @@ from typing import Any, Dict, List, Literal, Optional, Union -from pydantic.v1 import BaseModel, Field, validate_arguments +from pydantic import BaseModel, Field, validate_call +from pydantic_settings import SettingsConfigDict from typing_extensions import Annotated from deepsearch.cps.client.components.documents import ( @@ -114,8 +115,10 @@ class _APISemanticRagParameters(_APISemanticRetrievalParameters): chunk_refs: Optional[List[ChunkRef]] = None gen_timeout: Optional[float] = None + model_config = SettingsConfigDict(protected_namespaces=()) -@validate_arguments + +@validate_call def RAGQuery( question: str, *, @@ -202,7 +205,7 @@ def RAGQuery( return query -@validate_arguments +@validate_call def SemanticQuery( question: str, *, @@ -254,7 +257,7 @@ def SemanticQuery( task = query.add( task_id="QA", kind_or_task="SemanticRetrieval", - parameters=params.dict(), + parameters=params.model_dump(), coordinates=coords, ) task.output("items").output_as("items") diff --git a/deepsearch/cps/queries/results.py b/deepsearch/cps/queries/results.py index b5077c51..83fe586a 100644 --- a/deepsearch/cps/queries/results.py +++ b/deepsearch/cps/queries/results.py @@ -2,7 +2,7 @@ from typing import List, Optional -from pydantic.v1 import BaseModel +from pydantic import BaseModel from deepsearch.cps.client.components.queries import RunQueryResult @@ -71,7 +71,9 @@ def from_api_output(cls, data: RunQueryResult, raise_on_error=True): grounding=RAGGroundingInfo( retr_items=( [ - SearchResultItem.parse_obj(search_result_items[i]) + SearchResultItem.model_validate( + search_result_items[i] + ) for i in retr_idxs ] if retr_idxs is not None and retrieval_part is not None diff --git a/deepsearch/documents/core/input_process.py b/deepsearch/documents/core/input_process.py index 081802d6..8d007c2f 100644 --- a/deepsearch/documents/core/input_process.py +++ b/deepsearch/documents/core/input_process.py @@ -114,7 +114,7 @@ def process_cos_input( cps_proj_key=cps_proj_key, source={ "type": "s3", - "coordinates": source_cos.dict(), + "coordinates": source_cos.model_dump(), }, target=target, conversion_settings=conversion_settings, diff --git a/deepsearch/documents/core/lookup.py b/deepsearch/documents/core/lookup.py index 80559d68..5ea9a74d 100644 --- a/deepsearch/documents/core/lookup.py +++ b/deepsearch/documents/core/lookup.py @@ -1,6 +1,6 @@ from typing import Any, Dict, List -from pydantic.v1 import BaseModel +from pydantic import BaseModel def _resolve_item(item, doc): diff --git a/deepsearch/documents/core/models.py b/deepsearch/documents/core/models.py index 0611135d..f3c83e80 100644 --- a/deepsearch/documents/core/models.py +++ b/deepsearch/documents/core/models.py @@ -1,9 +1,21 @@ import collections from enum import Enum from textwrap import dedent -from typing import ClassVar, Dict, List, Literal, Optional, Set, Union, get_args - -from pydantic.v1 import BaseModel, Field, ValidationError, conlist, root_validator +from typing import ( + ClassVar, + Dict, + Hashable, + List, + Literal, + Optional, + TypeVar, + Union, + get_args, +) + +from pydantic import AfterValidator, BaseModel, ConfigDict, Field, model_validator +from pydantic_core import PydanticCustomError +from typing_extensions import Annotated from deepsearch import CpsApi from deepsearch.core.util.ccs_utils import get_ccs_project_key @@ -84,7 +96,7 @@ class MongoS3TargetCoordinates(BaseModel): """Coordinates to a Mongo collection, and optionally, an S3 bucket""" mongo: MongoCollectionCoordinates - s3: Optional[S3Coordinates] + s3: Optional[S3Coordinates] = None class MongoS3Target(BaseModel): @@ -128,7 +140,7 @@ class ElasticIndexCoordinates(BaseModel): class ElasticS3TargetCoordinates(BaseModel): elastic: ElasticIndexCoordinates - s3: Optional[S3Coordinates] + s3: Optional[S3Coordinates] = None class ElasticS3Target(BaseModel): @@ -340,32 +352,47 @@ class TesseractOcrLanguage(str, Enum): yor = "yor" +# Unique check, https://github.com/pydantic/pydantic-core/pull/820#issuecomment-1670475909 + +T = TypeVar("T", bound=Hashable) + + +def _validate_unique_list(v: List[T]) -> List[T]: + if len(v) != len(set(v)): + raise PydanticCustomError("unique_list", "List must be unique") + return v + + +UniqueList = Annotated[ + List[T], + AfterValidator(_validate_unique_list), + Field(json_schema_extra={"uniqueItems": True}), +] + + class TesseractOcrEngine(BaseModel): id: ClassVar[str] = "tesseract-ocr" - languages: conlist(TesseractOcrLanguage, min_items=1, unique_items=True) = [ # type: ignore + languages: Annotated[UniqueList[TesseractOcrLanguage], Field(min_length=1)] = [ TesseractOcrLanguage.eng, TesseractOcrLanguage.deu, ] - - class Config: - use_enum_values = True + model_config = ConfigDict(use_enum_values=True) class AlpineOcrEngine(BaseModel): id: ClassVar[str] = "alpine-ocr" - languages: conlist( # type: ignore - AlpineOcrLanguage, min_items=1, max_items=1, unique_items=True - ) = [AlpineOcrLanguage.English] - - class Config: - use_enum_values = True + languages: Annotated[ + UniqueList[AlpineOcrLanguage], + Field(min_length=1, max_length=1), + ] = [AlpineOcrLanguage.English] + model_config = ConfigDict(use_enum_values=True) OcrEngine = Union[AlpineOcrEngine, TesseractOcrEngine] class ProjectConversionModel(BaseModel): - name: Optional[str] # named model (config) + name: Optional[str] = None # named model (config) config_id: str # the model config key. Validate with available models CCS project. proj_key: str @@ -441,11 +468,11 @@ def get_models( return stages_to_models # FIXME: Dummy def to_ccs_spec(self): - return self.dict() + return self.model_dump() @classmethod def from_ccs_spec(cls, obj): - return cls.parse_obj(obj) + return cls.model_validate(obj) ConversionModel = Union[DefaultConversionModel, ProjectConversionModel] @@ -453,7 +480,7 @@ def from_ccs_spec(cls, obj): class ConversionPipelineSettings(BaseModel): clusters: ConversionModel - tables: Optional[ConversionModel] + tables: Optional[ConversionModel] = None @classmethod def from_ccs_spec(cls, obj): @@ -536,7 +563,7 @@ def to_ccs_spec(self): return { "enabled": self.enabled, "backend": self.engine.id, - "backend_settings": self.engine.dict(), + "backend_settings": self.engine.model_dump(), "merge_mode": self.merge_mode, } @@ -564,16 +591,16 @@ class ConversionMetadata(BaseModel): @classmethod def from_ccs_spec(cls, obj): - return cls.parse_obj(obj or {}) + return cls.model_validate(obj or {}) def to_ccs_spec(self): - return self.dict() + return self.model_dump() class ConversionSettings(BaseModel): - pipeline: Optional[ConversionPipelineSettings] - ocr: Optional[OCRSettings] - metadata: Optional[ConversionMetadata] + pipeline: Optional[ConversionPipelineSettings] = None + ocr: Optional[OCRSettings] = None + metadata: Optional[ConversionMetadata] = None @classmethod def from_project(cls, api: CpsApi, proj_key: str) -> "ConversionSettings": @@ -633,7 +660,8 @@ class TargetSettings(BaseModel): add_raw_pages: Optional[bool] = None add_annotations: Optional[bool] = None - @root_validator() + @model_validator(mode="after") + @classmethod def check_raw_or_ann(cls, values): if (values.get("add_raw_pages") is None) and ( values.get("add_annotations") is None diff --git a/deepsearch/documents/core/utils.py b/deepsearch/documents/core/utils.py index c4b8e7b4..c8ace652 100644 --- a/deepsearch/documents/core/utils.py +++ b/deepsearch/documents/core/utils.py @@ -9,7 +9,7 @@ from typing import Any, Dict, Iterator, List import requests -from pydantic.v1 import BaseModel +from pydantic import BaseModel from tqdm import tqdm from deepsearch.cps.client.api import CpsApi diff --git a/deepsearch/model/base/types.py b/deepsearch/model/base/types.py index 586a333e..adc32db5 100644 --- a/deepsearch/model/base/types.py +++ b/deepsearch/model/base/types.py @@ -2,10 +2,10 @@ from enum import Enum from typing import Any, Dict, Optional -from pydantic.v1 import BaseModel, Extra, Field, PositiveFloat +from pydantic import BaseModel, Field, PositiveFloat -class StrictModel(BaseModel, extra=Extra.forbid): +class StrictModel(BaseModel, extra="forbid"): # TODO use only where needed pass diff --git a/deepsearch/model/kinds/nlp/controller.py b/deepsearch/model/kinds/nlp/controller.py index dfd62df4..67596b60 100644 --- a/deepsearch/model/kinds/nlp/controller.py +++ b/deepsearch/model/kinds/nlp/controller.py @@ -30,10 +30,10 @@ def get_info(self) -> NLPInfoOutput: cfg = self._model.get_nlp_config() metadata = NLPModelMetadata( supported_object_types=cfg.supported_types, # type: ignore[arg-type] - **self._get_metadata().dict(), # passing parent metadata dict as kwargs + **self._get_metadata().model_dump(), # passing parent metadata dict as kwargs ) spec = NLPInfoOutputDefinitionsSpec( - definition=cfg.labels.dict(), + definition=cfg.labels.model_dump(), metadata=metadata, ) definitions = NLPInfoOutputDefinitions( diff --git a/deepsearch/model/kinds/qagen/controller.py b/deepsearch/model/kinds/qagen/controller.py index 1162228d..46c0f4c1 100644 --- a/deepsearch/model/kinds/qagen/controller.py +++ b/deepsearch/model/kinds/qagen/controller.py @@ -40,7 +40,7 @@ def dispatch_predict(self, spec: CtrlPredInput) -> CtrlPredOutput: gen_answers = spec.generateAnswers answers = self._model.generate_answers( texts=[ - ([ctx_entry.dict() for ctx_entry in ctx_list], q) + ([ctx_entry.model_dump() for ctx_entry in ctx_list], q) for ctx_list, q in zip(gen_answers.contexts, gen_answers.questions) ], extras=gen_answers.extras or {}, diff --git a/deepsearch/model/kinds/qagen/types.py b/deepsearch/model/kinds/qagen/types.py index 2bea0190..d28ccb6c 100644 --- a/deepsearch/model/kinds/qagen/types.py +++ b/deepsearch/model/kinds/qagen/types.py @@ -1,6 +1,6 @@ from typing import Any, Dict, List, Literal, Optional -from pydantic.v1 import root_validator +from pydantic import model_validator from deepsearch.model.base.types import ( BaseAppPredInput, @@ -22,7 +22,7 @@ class GenerateAnswers(StrictModel): questions: List[str] extras: Optional[Dict[str, Any]] = None - @root_validator + @model_validator(mode="after") def check_lengths_match(cls, values): contx, quest = values.get("contexts"), values.get("questions") if len(contx) != len(quest): diff --git a/deepsearch/model/server/config.py b/deepsearch/model/server/config.py index 4f55bf22..73c7056e 100644 --- a/deepsearch/model/server/config.py +++ b/deepsearch/model/server/config.py @@ -1,8 +1,7 @@ -from pydantic.v1 import BaseSettings, SecretStr +from pydantic import SecretStr +from pydantic_settings import BaseSettings, SettingsConfigDict class Settings(BaseSettings): api_key: SecretStr - - class Config: - env_prefix = "DS_MODEL_" + model_config = SettingsConfigDict(env_prefix="DS_MODEL_") diff --git a/poetry.lock b/poetry.lock index 24ed56ce..4ce1152a 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. 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