from typing import Any

import pytest
from langchain_core.runnables import RunnableConfig

from langgraph.checkpoint.base import (
    Checkpoint,
    CheckpointMetadata,
    create_checkpoint,
    empty_checkpoint,
)
from langgraph.checkpoint.memory import InMemorySaver


class TestMemorySaver:
    @pytest.fixture(autouse=True)
    def setup(self) -> None:
        self.memory_saver = InMemorySaver()

        # objects for test setup
        self.config_1: RunnableConfig = {
            "configurable": {
                "thread_id": "thread-1",
                "checkpoint_ns": "",
                # for backwards compatibility testing
                "thread_ts": "1",
            }
        }
        self.config_2: RunnableConfig = {
            "configurable": {
                "thread_id": "thread-2",
                "checkpoint_ns": "",
                "checkpoint_id": "2",
            }
        }
        self.config_3: RunnableConfig = {
            "configurable": {
                "thread_id": "thread-2",
                "checkpoint_id": "2-inner",
                "checkpoint_ns": "inner",
            }
        }

        self.chkpnt_1: Checkpoint = empty_checkpoint()
        self.chkpnt_2: Checkpoint = create_checkpoint(self.chkpnt_1, {}, 1)
        self.chkpnt_3: Checkpoint = empty_checkpoint()

        self.metadata_1: CheckpointMetadata = {
            "source": "input",
            "step": 2,
            "writes": {},
            "score": 1,
        }
        self.metadata_2: CheckpointMetadata = {
            "source": "loop",
            "step": 1,
            "writes": {"foo": "bar"},
            "score": None,
        }
        self.metadata_3: CheckpointMetadata = {}

    def test_combined_metadata(self) -> None:
        config: RunnableConfig = {
            "configurable": {
                "thread_id": "thread-2",
                "checkpoint_ns": "",
                "__super_private_key": "super_private_value",
            },
            "metadata": {"run_id": "my_run_id"},
        }
        self.memory_saver.put(config, self.chkpnt_2, self.metadata_2, {})
        checkpoint = self.memory_saver.get_tuple(config)
        assert checkpoint is not None
        assert checkpoint.metadata == {
            **self.metadata_2,
            "thread_id": "thread-2",
            "run_id": "my_run_id",
        }

    async def test_search(self) -> None:
        # set up test
        # save checkpoints
        self.memory_saver.put(self.config_1, self.chkpnt_1, self.metadata_1, {})
        self.memory_saver.put(self.config_2, self.chkpnt_2, self.metadata_2, {})
        self.memory_saver.put(self.config_3, self.chkpnt_3, self.metadata_3, {})

        # call method / assertions
        query_1 = {"source": "input"}  # search by 1 key
        query_2 = {
            "step": 1,
            "writes": {"foo": "bar"},
        }  # search by multiple keys
        query_3: dict[str, Any] = {}  # search by no keys, return all checkpoints
        query_4 = {"source": "update", "step": 1}  # no match

        search_results_1 = list(self.memory_saver.list(None, filter=query_1))
        assert len(search_results_1) == 1
        assert search_results_1[0].metadata == {
            "thread_id": "thread-1",
            "thread_ts": "1",
            **self.metadata_1,
        }

        search_results_2 = list(self.memory_saver.list(None, filter=query_2))
        assert len(search_results_2) == 1
        assert search_results_2[0].metadata == {
            "thread_id": "thread-2",
            **self.metadata_2,
        }

        search_results_3 = list(self.memory_saver.list(None, filter=query_3))
        assert len(search_results_3) == 3

        search_results_4 = list(self.memory_saver.list(None, filter=query_4))
        assert len(search_results_4) == 0

        # search by config (defaults to checkpoints across all namespaces)
        search_results_5 = list(
            self.memory_saver.list({"configurable": {"thread_id": "thread-2"}})
        )
        assert len(search_results_5) == 2
        assert {
            search_results_5[0].config["configurable"]["checkpoint_ns"],
            search_results_5[1].config["configurable"]["checkpoint_ns"],
        } == {"", "inner"}

        # TODO: test before and limit params

    async def test_asearch(self) -> None:
        # set up test
        # save checkpoints
        self.memory_saver.put(self.config_1, self.chkpnt_1, self.metadata_1, {})
        self.memory_saver.put(self.config_2, self.chkpnt_2, self.metadata_2, {})
        self.memory_saver.put(self.config_3, self.chkpnt_3, self.metadata_3, {})

        # call method / assertions
        query_1 = {"source": "input"}  # search by 1 key
        query_2 = {
            "step": 1,
            "writes": {"foo": "bar"},
        }  # search by multiple keys
        query_3: dict[str, Any] = {}  # search by no keys, return all checkpoints
        query_4 = {"source": "update", "step": 1}  # no match

        search_results_1 = [
            c async for c in self.memory_saver.alist(None, filter=query_1)
        ]
        assert len(search_results_1) == 1
        assert search_results_1[0].metadata == {
            "thread_id": "thread-1",
            "thread_ts": "1",
            **self.metadata_1,
        }

        search_results_2 = [
            c async for c in self.memory_saver.alist(None, filter=query_2)
        ]
        assert len(search_results_2) == 1
        assert search_results_2[0].metadata == {
            "thread_id": "thread-2",
            **self.metadata_2,
        }

        search_results_3 = [
            c async for c in self.memory_saver.alist(None, filter=query_3)
        ]
        assert len(search_results_3) == 3

        search_results_4 = [
            c async for c in self.memory_saver.alist(None, filter=query_4)
        ]
        assert len(search_results_4) == 0


def test_memory_saver() -> None:
    from langgraph.checkpoint.memory import MemorySaver

    assert isinstance(MemorySaver(), InMemorySaver)