diff --git a/dspy/clients/cache.py b/dspy/clients/cache.py index 7a9885f1bc..94dc8d5c3e 100644 --- a/dspy/clients/cache.py +++ b/dspy/clients/cache.py @@ -7,8 +7,8 @@ from typing import Any import cloudpickle +import orjson import pydantic -import ujson from cachetools import LRUCache from diskcache import FanoutCache @@ -93,7 +93,7 @@ def transform_value(value): return value params = {k: transform_value(v) for k, v in request.items() if k not in ignored_args_for_cache_key} - return sha256(ujson.dumps(params, sort_keys=True).encode()).hexdigest() + return sha256(orjson.dumps(params, option=orjson.OPT_SORT_KEYS)).hexdigest() def get(self, request: dict[str, Any], ignored_args_for_cache_key: list[str] | None = None) -> Any: try: diff --git a/dspy/clients/databricks.py b/dspy/clients/databricks.py index 6829a3c11a..4c5c4db8f3 100644 --- a/dspy/clients/databricks.py +++ b/dspy/clients/databricks.py @@ -4,8 +4,8 @@ import time from typing import TYPE_CHECKING, Any +import orjson import requests -import ujson from dspy.clients.provider import Provider, TrainingJob from dspy.clients.utils_finetune import TrainDataFormat, get_finetune_directory @@ -265,8 +265,7 @@ def _get_workspace_client() -> "WorkspaceClient": from databricks.sdk import WorkspaceClient except ImportError: raise ImportError( - "To use Databricks finetuning, please install the databricks-sdk package via " - "`pip install databricks-sdk`." + "To use Databricks finetuning, please install the databricks-sdk package via `pip install databricks-sdk`." ) return WorkspaceClient() @@ -311,14 +310,14 @@ def _save_data_to_local_file(train_data: list[dict[str, Any]], data_format: Trai finetune_dir = get_finetune_directory() file_path = os.path.join(finetune_dir, file_name) file_path = os.path.abspath(file_path) - with open(file_path, "w") as f: + with open(file_path, "wb") as f: for item in train_data: if data_format == TrainDataFormat.CHAT: _validate_chat_data(item) elif data_format == TrainDataFormat.COMPLETION: _validate_completion_data(item) - f.write(ujson.dumps(item) + "\n") + f.write(orjson.dumps(item) + b"\n") return file_path diff --git a/dspy/clients/utils_finetune.py b/dspy/clients/utils_finetune.py index 1b8b2031fb..7ec3380cb1 100644 --- a/dspy/clients/utils_finetune.py +++ b/dspy/clients/utils_finetune.py @@ -2,7 +2,7 @@ from enum import Enum from typing import Any, Literal, TypedDict -import ujson +import orjson import dspy from dspy.adapters.base import Adapter @@ -58,9 +58,9 @@ def get_finetune_directory() -> str: def write_lines(file_path, data): - with open(file_path, "w") as f: + with open(file_path, "wb") as f: for item in data: - f.write(ujson.dumps(item) + "\n") + f.write(orjson.dumps(item) + b"\n") def save_data( @@ -75,9 +75,9 @@ def save_data( finetune_dir = get_finetune_directory() file_path = os.path.join(finetune_dir, file_name) file_path = os.path.abspath(file_path) - with open(file_path, "w") as f: + with open(file_path, "wb") as f: for item in data: - f.write(ujson.dumps(item) + "\n") + f.write(orjson.dumps(item) + b"\n") return file_path diff --git a/dspy/predict/predict.py b/dspy/predict/predict.py index c120a624d3..dac5cc82d3 100644 --- a/dspy/predict/predict.py +++ b/dspy/predict/predict.py @@ -30,7 +30,7 @@ def reset(self): self.train = [] self.demos = [] - def dump_state(self): + def dump_state(self, json_mode=True): state_keys = ["traces", "train"] state = {k: getattr(self, k) for k in state_keys} @@ -42,7 +42,10 @@ def dump_state(self): # FIXME: Saving BaseModels as strings in examples doesn't matter because you never re-access as an object demo[field] = serialize_object(demo[field]) - state["demos"].append(demo) + if isinstance(demo, dict) or not json_mode: + state["demos"].append(demo) + else: + state["demos"].append(demo.toDict()) state["signature"] = self.signature.dump_state() state["lm"] = self.lm.dump_state() if self.lm else None diff --git a/dspy/predict/refine.py b/dspy/predict/refine.py index 10ec89d115..db5084c9fe 100644 --- a/dspy/predict/refine.py +++ b/dspy/predict/refine.py @@ -2,7 +2,7 @@ import textwrap from typing import Callable -import ujson +import orjson import dspy from dspy.adapters.utils import get_field_description_string @@ -158,10 +158,9 @@ def __call__(self, lm, lm_kwargs, signature, demos, inputs): } advise_kwargs = dict(**modules, **trajectory, **reward, module_names=module_names) - # advise_kwargs = {k: ujson.dumps(recursive_mask(v), indent=2) for k, v in advise_kwargs.items()} # only dumps if it's a list or dict advise_kwargs = { - k: v if isinstance(v, str) else ujson.dumps(recursive_mask(v), indent=2) + k: v if isinstance(v, str) else orjson.dumps(recursive_mask(v), option=orjson.OPT_INDENT_2).decode() for k, v in advise_kwargs.items() } advice = dspy.Predict(OfferFeedback)(**advise_kwargs).advice @@ -200,7 +199,7 @@ def inspect_modules(program): def recursive_mask(o): # If the object is already serializable, return it. try: - ujson.dumps(o) + orjson.dumps(o) return o except TypeError: pass diff --git a/dspy/primitives/base_module.py b/dspy/primitives/base_module.py index 5b309b1243..aa8bcbee4f 100644 --- a/dspy/primitives/base_module.py +++ b/dspy/primitives/base_module.py @@ -5,7 +5,7 @@ from pathlib import Path import cloudpickle -import ujson +import orjson from dspy.utils.saving import get_dependency_versions @@ -153,8 +153,8 @@ def reset_copy(self): return new_instance - def dump_state(self): - return {name: param.dump_state() for name, param in self.named_parameters()} + def dump_state(self, json_mode=True): + return {name: param.dump_state(json_mode=json_mode) for name, param in self.named_parameters()} def load_state(self, state): for name, param in self.named_parameters(): @@ -169,10 +169,10 @@ def save(self, path, save_program=False, modules_to_serialize=None): - `save_program=True`: Save the whole module to a directory via cloudpickle, which contains both the state and architecture of the model. - If `save_program=True` and `modules_to_serialize` are provided, it will register those modules for serialization - with cloudpickle's `register_pickle_by_value`. This causes cloudpickle to serialize the module by value rather - than by reference, ensuring the module is fully preserved along with the saved program. This is useful - when you have custom modules that need to be serialized alongside your program. If None, then no modules + If `save_program=True` and `modules_to_serialize` are provided, it will register those modules for serialization + with cloudpickle's `register_pickle_by_value`. This causes cloudpickle to serialize the module by value rather + than by reference, ensuring the module is fully preserved along with the saved program. This is useful + when you have custom modules that need to be serialized alongside your program. If None, then no modules will be registered for serialization. We also save the dependency versions, so that the loaded model can check if there is a version mismatch on @@ -215,17 +215,17 @@ def save(self, path, save_program=False, modules_to_serialize=None): f"Saving failed with error: {e}. Please remove the non-picklable attributes from your DSPy program, " "or consider using state-only saving by setting `save_program=False`." ) - with open(path / "metadata.json", "w", encoding="utf-8") as f: - ujson.dump(metadata, f, indent=2, ensure_ascii=False) + with open(path / "metadata.json", "wb") as f: + f.write(orjson.dumps(metadata, option=orjson.OPT_INDENT_2 | orjson.OPT_APPEND_NEWLINE)) return - state = self.dump_state() - state["metadata"] = metadata if path.suffix == ".json": + state = self.dump_state() + state["metadata"] = metadata try: - with open(path, "w", encoding="utf-8") as f: - f.write(ujson.dumps(state, indent=2 , ensure_ascii=False)) + with open(path, "wb") as f: + f.write(orjson.dumps(state, option=orjson.OPT_INDENT_2 | orjson.OPT_APPEND_NEWLINE)) except Exception as e: raise RuntimeError( f"Failed to save state to {path} with error: {e}. Your DSPy program may contain non " @@ -233,6 +233,8 @@ def save(self, path, save_program=False, modules_to_serialize=None): "with `.pkl`, or saving the whole program by setting `save_program=True`." ) elif path.suffix == ".pkl": + state = self.dump_state(json_mode=False) + state["metadata"] = metadata with open(path, "wb") as f: cloudpickle.dump(state, f) else: @@ -248,8 +250,8 @@ def load(self, path): path = Path(path) if path.suffix == ".json": - with open(path, encoding="utf-8") as f: - state = ujson.loads(f.read()) + with open(path, "rb") as f: + state = orjson.loads(f.read()) elif path.suffix == ".pkl": with open(path, "rb") as f: state = cloudpickle.load(f) diff --git a/dspy/primitives/example.py b/dspy/primitives/example.py index 589e537480..abbc381f74 100644 --- a/dspy/primitives/example.py +++ b/dspy/primitives/example.py @@ -105,4 +105,18 @@ def without(self, *keys): return copied def toDict(self): # noqa: N802 - return self._store.copy() + def convert_to_serializable(value): + if hasattr(value, "toDict"): + return value.toDict() + elif isinstance(value, list): + return [convert_to_serializable(item) for item in value] + elif isinstance(value, dict): + return {k: convert_to_serializable(v) for k, v in value.items()} + else: + return value + + serializable_store = {} + for k, v in self._store.items(): + serializable_store[k] = convert_to_serializable(v) + + return serializable_store diff --git a/dspy/streaming/streamify.py b/dspy/streaming/streamify.py index 5376d286e2..ca775c93e7 100644 --- a/dspy/streaming/streamify.py +++ b/dspy/streaming/streamify.py @@ -7,7 +7,7 @@ from typing import TYPE_CHECKING, Any, AsyncGenerator, Awaitable, Callable, Generator import litellm -import ujson +import orjson from anyio import create_memory_object_stream, create_task_group from anyio.streams.memory import MemoryObjectSendStream from litellm import ModelResponseStream @@ -261,10 +261,10 @@ async def streaming_response(streamer: AsyncGenerator) -> AsyncGenerator: async for value in streamer: if isinstance(value, Prediction): data = {"prediction": dict(value.items(include_dspy=False))} - yield f"data: {ujson.dumps(data)}\n\n" + yield f"data: {orjson.dumps(data).decode()}\n\n" elif isinstance(value, litellm.ModelResponseStream): data = {"chunk": value.json()} - yield f"data: {ujson.dumps(data)}\n\n" + yield f"data: {orjson.dumps(data).decode()}\n\n" elif isinstance(value, str) and value.startswith("data:"): # The chunk value is an OpenAI-compatible streaming chunk value, # e.g. "data: {"finish_reason": "stop", "index": 0, "is_finished": True, ...}", diff --git a/dspy/teleprompt/simba_utils.py b/dspy/teleprompt/simba_utils.py index b32f30609d..dc84498bad 100644 --- a/dspy/teleprompt/simba_utils.py +++ b/dspy/teleprompt/simba_utils.py @@ -3,7 +3,7 @@ import textwrap from typing import Callable -import ujson +import orjson import dspy from dspy.adapters.utils import get_field_description_string @@ -120,7 +120,7 @@ def append_a_rule(bucket, system, **kwargs): "module_names": module_names, } - kwargs = {k: v if isinstance(v, str) else ujson.dumps(recursive_mask(v), indent=2) + kwargs = {k: v if isinstance(v, str) else orjson.dumps(recursive_mask(v), option=orjson.OPT_INDENT_2).decode() for k, v in kwargs.items()} advice = dspy.Predict(OfferFeedback)(**kwargs).module_advice @@ -194,9 +194,9 @@ def inspect_modules(program): def recursive_mask(o): # If the object is already serializable, return it. try: - ujson.dumps(o) + orjson.dumps(o) return o - except TypeError: + except (TypeError, orjson.JSONEncodeError): pass # If it's a dictionary, apply recursively to its values. diff --git a/dspy/utils/saving.py b/dspy/utils/saving.py index c9e8ab5026..ab3dfafdca 100644 --- a/dspy/utils/saving.py +++ b/dspy/utils/saving.py @@ -4,7 +4,7 @@ from typing import TYPE_CHECKING import cloudpickle -import ujson +import orjson if TYPE_CHECKING: from dspy.primitives.module import Module @@ -40,7 +40,7 @@ def load(path: str) -> "Module": raise FileNotFoundError(f"The path '{path}' does not exist.") with open(path / "metadata.json") as f: - metadata = ujson.load(f) + metadata = orjson.loads(f.read()) dependency_versions = get_dependency_versions() saved_dependency_versions = metadata["dependency_versions"] diff --git a/pyproject.toml b/pyproject.toml index fa69e540db..ec7d48bb2d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -25,7 +25,7 @@ dependencies = [ "joblib~=1.3", "openai>=0.28.1", "regex>=2023.10.3", - "ujson>=5.8.0", + "orjson>=3.9.0", "tqdm>=4.66.1", "requests>=2.31.0", "optuna>=3.4.0", diff --git a/tests/predict/test_predict.py b/tests/predict/test_predict.py index 31d80fc525..d49d0231e9 100644 --- a/tests/predict/test_predict.py +++ b/tests/predict/test_predict.py @@ -6,9 +6,9 @@ from datetime import datetime from unittest.mock import patch +import orjson import pydantic import pytest -import ujson from litellm import ModelResponse from pydantic import BaseModel, HttpUrl @@ -105,8 +105,8 @@ class TranslateToEnglish(dspy.Signature): assert len(dumped_state["demos"]) == len(original_instance.demos) assert dumped_state["demos"][0]["content"] == original_instance.demos[0].content - saved_state = ujson.dumps(dumped_state) - loaded_state = ujson.loads(saved_state) + saved_state = orjson.dumps(dumped_state).decode() + loaded_state = orjson.loads(saved_state) new_instance = Predict(TranslateToEnglish) new_instance.load_state(loaded_state) @@ -147,8 +147,8 @@ class InventorySignature(dspy.Signature): assert dumped_state["demos"][0]["items"][0] == {"name": "apple", "quantity": 5} # Test serialization/deserialization - saved_state = ujson.dumps(dumped_state) - loaded_state = ujson.loads(saved_state) + saved_state = orjson.dumps(dumped_state).decode() + loaded_state = orjson.loads(saved_state) # Test load_state new_instance = Predict(InventorySignature) @@ -711,8 +711,8 @@ class TestSignature(dspy.Signature): assert serialized["url"] == "https://www.example.com/" assert serialized["created_at"] == "2021-01-01T12:00:00" - json_str = ujson.dumps(serialized) - reloaded = ujson.loads(json_str) + json_str = orjson.dumps(serialized).decode() + reloaded = orjson.loads(json_str) assert reloaded == serialized predictor = Predict(TestSignature) @@ -720,8 +720,8 @@ class TestSignature(dspy.Signature): predictor.demos = [demo] state = predictor.dump_state() - json_str = ujson.dumps(state) - reloaded_state = ujson.loads(json_str) + json_str = orjson.dumps(state).decode() + reloaded_state = orjson.loads(json_str) demo_data = reloaded_state["demos"][0] assert demo_data["website_info"]["url"] == "https://www.example.com/" diff --git a/tests/primitives/test_base_module.py b/tests/primitives/test_base_module.py index b78a04d66c..3abff432e0 100644 --- a/tests/primitives/test_base_module.py +++ b/tests/primitives/test_base_module.py @@ -62,7 +62,16 @@ def test_save_and_load_with_json(tmp_path): model = dspy.ChainOfThought(dspy.Signature("q -> a")) model.predict.signature = model.predict.signature.with_instructions("You are a helpful assistant.") model.predict.demos = [ - dspy.Example(q="What is the capital of France?", a="Paris", reasoning="n/a").with_inputs("q", "a") + dspy.Example(q="What is the capital of France?", a="Paris", reasoning="n/a").with_inputs("q"), + # Nested example + dspy.Example( + q=[ + dspy.Example(q="What is the capital of France?"), + dspy.Example(q="What is actually the capital of France?"), + ], + a="Paris", + reasoning="n/a", + ).with_inputs("q"), ] save_path = tmp_path / "model.json" model.save(save_path) @@ -71,6 +80,7 @@ def test_save_and_load_with_json(tmp_path): assert str(new_model.predict.signature) == str(model.predict.signature) assert new_model.predict.demos[0] == model.predict.demos[0].toDict() + assert new_model.predict.demos[1] == model.predict.demos[1].toDict() @pytest.mark.extra diff --git a/uv.lock b/uv.lock index 2fd5aa3d6e..0c564c8de8 100644 --- a/uv.lock +++ b/uv.lock @@ -682,6 +682,7 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