langgraph/libs/checkpoint-postgres/langgraph/checkpoint/postgres/aio.py

from __future__ import annotations

import asyncio
from collections import defaultdict
from collections.abc import AsyncIterator, Iterator, Mapping, Sequence
from contextlib import asynccontextmanager
from typing import Any, cast

from langchain_core.runnables import RunnableConfig
from langgraph.checkpoint.base import (
    WRITES_IDX_MAP,
    ChannelVersions,
    Checkpoint,
    CheckpointMetadata,
    CheckpointTuple,
    DeltaChannelHistory,
    get_checkpoint_id,
    get_serializable_checkpoint_metadata,
)
from langgraph.checkpoint.serde.base import SerializerProtocol
from langgraph.checkpoint.serde.types import _DeltaSnapshot
from psycopg import AsyncConnection, AsyncCursor, AsyncPipeline, Capabilities
from psycopg.rows import DictRow, dict_row
from psycopg.types.json import Jsonb
from psycopg_pool import AsyncConnectionPool

from langgraph.checkpoint.postgres import _ainternal
from langgraph.checkpoint.postgres.base import (
    _DELTA_PAGE_SIZE,
    BasePostgresSaver,
    _build_delta_stage1_sql,
    _build_delta_stage2_sql,
    _DeltaStage2Row,
)
from langgraph.checkpoint.postgres.shallow import AsyncShallowPostgresSaver

Conn = _ainternal.Conn  # For backward compatibility


class AsyncPostgresSaver(BasePostgresSaver):
    """Asynchronous checkpointer that stores checkpoints in a Postgres database."""

    lock: asyncio.Lock

    def __init__(
        self,
        conn: _ainternal.Conn,
        pipe: AsyncPipeline | None = None,
        serde: SerializerProtocol | None = None,
    ) -> None:
        super().__init__(serde=serde)
        if isinstance(conn, AsyncConnectionPool) and pipe is not None:
            raise ValueError(
                "Pipeline should be used only with a single AsyncConnection, not AsyncConnectionPool."
            )

        self.conn = conn
        self.pipe = pipe
        self.lock = asyncio.Lock()
        self.loop = asyncio.get_running_loop()
        self.supports_pipeline = Capabilities().has_pipeline()

    @classmethod
    @asynccontextmanager
    async def from_conn_string(
        cls,
        conn_string: str,
        *,
        pipeline: bool = False,
        serde: SerializerProtocol | None = None,
    ) -> AsyncIterator[AsyncPostgresSaver]:
        """Create a new AsyncPostgresSaver instance from a connection string.

        Args:
            conn_string: The Postgres connection info string.
            pipeline: whether to use AsyncPipeline

        Returns:
            AsyncPostgresSaver: A new AsyncPostgresSaver instance.
        """
        async with await AsyncConnection.connect(
            conn_string, autocommit=True, prepare_threshold=0, row_factory=dict_row
        ) as conn:
            if pipeline:
                async with conn.pipeline() as pipe:
                    yield cls(conn=conn, pipe=pipe, serde=serde)
            else:
                yield cls(conn=conn, serde=serde)

    async def setup(self) -> None:
        """Set up the checkpoint database asynchronously.

        This method creates the necessary tables in the Postgres database if they don't
        already exist and runs database migrations. It MUST be called directly by the user
        the first time checkpointer is used.
        """
        async with self._cursor() as cur:
            await cur.execute(self.MIGRATIONS[0])
            results = await cur.execute(
                "SELECT v FROM checkpoint_migrations ORDER BY v DESC LIMIT 1"
            )
            row = await results.fetchone()
            if row is None:
                version = -1
            else:
                version = row["v"]
            for v, migration in zip(
                range(version + 1, len(self.MIGRATIONS)),
                self.MIGRATIONS[version + 1 :],
                strict=False,
            ):
                await cur.execute(migration)
                await cur.execute(
                    "INSERT INTO checkpoint_migrations (v) VALUES (%s)", (v,)
                )
        if self.pipe:
            await self.pipe.sync()

    async def alist(
        self,
        config: RunnableConfig | None,
        *,
        filter: dict[str, Any] | None = None,
        before: RunnableConfig | None = None,
        limit: int | None = None,
    ) -> AsyncIterator[CheckpointTuple]:
        """List checkpoints from the database asynchronously.

        This method retrieves a list of checkpoint tuples from the Postgres database based
        on the provided config. The checkpoints are ordered by checkpoint ID in descending order (newest first).

        Args:
            config: Base configuration for filtering checkpoints.
            filter: Additional filtering criteria for metadata.
            before: If provided, only checkpoints before the specified checkpoint ID are returned.
            limit: Maximum number of checkpoints to return.

        Yields:
            An asynchronous iterator of matching checkpoint tuples.
        """
        where, args = self._search_where(config, filter, before)
        query = self.SELECT_SQL + where + " ORDER BY checkpoint_id DESC"
        params = list(args)
        if limit is not None:
            query += " LIMIT %s"
            params.append(int(limit))
        # if we change this to use .stream() we need to make sure to close the cursor
        async with self._cursor() as cur:
            await cur.execute(query, params, binary=True)
            values = await cur.fetchall()
            if not values:
                return
            # migrate pending sends if necessary
            if to_migrate := [
                v
                for v in values
                if v["checkpoint"]["v"] < 4 and v["parent_checkpoint_id"]
            ]:
                await cur.execute(
                    self.SELECT_PENDING_SENDS_SQL,
                    (
                        values[0]["thread_id"],
                        [v["parent_checkpoint_id"] for v in to_migrate],
                    ),
                )
                grouped_by_parent = defaultdict(list)
                for value in to_migrate:
                    grouped_by_parent[value["parent_checkpoint_id"]].append(value)
                async for sends in cur:
                    for value in grouped_by_parent[sends["checkpoint_id"]]:
                        if value["channel_values"] is None:
                            value["channel_values"] = []
                        self._migrate_pending_sends(
                            sends["sends"],
                            value["checkpoint"],
                            value["channel_values"],
                        )
            for value in values:
                yield await self._load_checkpoint_tuple(value)

    async def aget_tuple(self, config: RunnableConfig) -> CheckpointTuple | None:
        """Get a checkpoint tuple from the database asynchronously.

        This method retrieves a checkpoint tuple from the Postgres database based on the
        provided config. If the config contains a `checkpoint_id` key, the checkpoint with
        the matching thread ID and "checkpoint_id" is retrieved. Otherwise, the latest checkpoint
        for the given thread ID is retrieved.

        Args:
            config: The config to use for retrieving the checkpoint.

        Returns:
            The retrieved checkpoint tuple, or None if no matching checkpoint was found.
        """
        thread_id = config["configurable"]["thread_id"]
        checkpoint_id = get_checkpoint_id(config)
        checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
        if checkpoint_id:
            args: tuple[Any, ...] = (thread_id, checkpoint_ns, checkpoint_id)
            where = "WHERE thread_id = %s AND checkpoint_ns = %s AND checkpoint_id = %s"
        else:
            args = (thread_id, checkpoint_ns)
            where = "WHERE thread_id = %s AND checkpoint_ns = %s ORDER BY checkpoint_id DESC LIMIT 1"

        async with self._cursor() as cur:
            await cur.execute(
                self.SELECT_SQL + where,
                args,
                binary=True,
            )
            value = await cur.fetchone()
            if value is None:
                return None

            # migrate pending sends if necessary
            if value["checkpoint"]["v"] < 4 and value["parent_checkpoint_id"]:
                await cur.execute(
                    self.SELECT_PENDING_SENDS_SQL,
                    (thread_id, [value["parent_checkpoint_id"]]),
                )
                if sends := await cur.fetchone():
                    if value["channel_values"] is None:
                        value["channel_values"] = []
                    self._migrate_pending_sends(
                        sends["sends"],
                        value["checkpoint"],
                        value["channel_values"],
                    )

            return await self._load_checkpoint_tuple(value)

    async def aput(
        self,
        config: RunnableConfig,
        checkpoint: Checkpoint,
        metadata: CheckpointMetadata,
        new_versions: ChannelVersions,
    ) -> RunnableConfig:
        """Save a checkpoint to the database asynchronously.

        This method saves a checkpoint to the Postgres database. The checkpoint is associated
        with the provided config and its parent config (if any).

        Args:
            config: The config to associate with the checkpoint.
            checkpoint: The checkpoint to save.
            metadata: Additional metadata to save with the checkpoint.
            new_versions: New channel versions as of this write.

        Returns:
            RunnableConfig: Updated configuration after storing the checkpoint.
        """
        configurable = config["configurable"].copy()
        thread_id = configurable.pop("thread_id")
        checkpoint_ns = configurable.pop("checkpoint_ns")
        checkpoint_id = configurable.pop("checkpoint_id", None)

        copy = checkpoint.copy()
        copy["channel_values"] = copy["channel_values"].copy()
        next_config = {
            "configurable": {
                "thread_id": thread_id,
                "checkpoint_ns": checkpoint_ns,
                "checkpoint_id": checkpoint["id"],
            }
        }

        # inline primitive values in checkpoint table
        # others are stored in blobs table
        blob_values = {}
        for k, v in checkpoint["channel_values"].items():
            if isinstance(v, _DeltaSnapshot):
                blob_values[k] = copy["channel_values"].pop(k)
                copy["channel_values"][k] = True
            elif v is None or isinstance(v, (str, int, float, bool)):
                pass
            else:
                blob_values[k] = copy["channel_values"].pop(k)

        async with self._cursor(pipeline=True) as cur:
            if blob_versions := {
                k: v for k, v in new_versions.items() if k in blob_values
            }:
                await cur.executemany(
                    self.UPSERT_CHECKPOINT_BLOBS_SQL,
                    await asyncio.to_thread(
                        self._dump_blobs,
                        thread_id,
                        checkpoint_ns,
                        blob_values,
                        blob_versions,
                    ),
                )
            await cur.execute(
                self.UPSERT_CHECKPOINTS_SQL,
                (
                    thread_id,
                    checkpoint_ns,
                    checkpoint["id"],
                    checkpoint_id,
                    Jsonb(copy),
                    Jsonb(get_serializable_checkpoint_metadata(config, metadata)),
                ),
            )
        return next_config

    async def aput_writes(
        self,
        config: RunnableConfig,
        writes: Sequence[tuple[str, Any]],
        task_id: str,
        task_path: str = "",
    ) -> None:
        """Store intermediate writes linked to a checkpoint asynchronously.

        This method saves intermediate writes associated with a checkpoint to the database.

        Args:
            config: Configuration of the related checkpoint.
            writes: List of writes to store, each as (channel, value) pair.
            task_id: Identifier for the task creating the writes.
        """
        query = (
            self.UPSERT_CHECKPOINT_WRITES_SQL
            if all(w[0] in WRITES_IDX_MAP for w in writes)
            else self.INSERT_CHECKPOINT_WRITES_SQL
        )
        params = await asyncio.to_thread(
            self._dump_writes,
            config["configurable"]["thread_id"],
            config["configurable"]["checkpoint_ns"],
            config["configurable"]["checkpoint_id"],
            task_id,
            task_path,
            writes,
        )
        async with self._cursor(pipeline=True) as cur:
            await cur.executemany(query, params)

    async def adelete_thread(self, thread_id: str) -> None:
        """Delete all checkpoints and writes associated with a thread ID.

        Args:
            thread_id: The thread ID to delete.

        Returns:
            None
        """
        async with self._cursor(pipeline=True) as cur:
            await cur.execute(
                "DELETE FROM checkpoints WHERE thread_id = %s",
                (str(thread_id),),
            )
            await cur.execute(
                "DELETE FROM checkpoint_blobs WHERE thread_id = %s",
                (str(thread_id),),
            )
            await cur.execute(
                "DELETE FROM checkpoint_writes WHERE thread_id = %s",
                (str(thread_id),),
            )

    @asynccontextmanager
    async def _cursor(
        self, *, pipeline: bool = False
    ) -> AsyncIterator[AsyncCursor[DictRow]]:
        """Create a database cursor as a context manager.

        Args:
            pipeline: whether to use pipeline for the DB operations inside the context manager.
                Will be applied regardless of whether the AsyncPostgresSaver instance was initialized with a pipeline.
                If pipeline mode is not supported, will fall back to using transaction context manager.
        """
        async with self.lock, _ainternal.get_connection(self.conn) as conn:
            if self.pipe:
                # a connection in pipeline mode can be used concurrently
                # in multiple threads/coroutines, but only one cursor can be
                # used at a time
                try:
                    async with conn.cursor(binary=True, row_factory=dict_row) as cur:
                        yield cur
                finally:
                    if pipeline:
                        await self.pipe.sync()
            elif pipeline:
                # a connection not in pipeline mode can only be used by one
                # thread/coroutine at a time, so we acquire a lock
                if self.supports_pipeline:
                    async with (
                        conn.pipeline(),
                        conn.cursor(binary=True, row_factory=dict_row) as cur,
                    ):
                        yield cur
                else:
                    # Use connection's transaction context manager when pipeline mode not supported
                    async with (
                        conn.transaction(),
                        conn.cursor(binary=True, row_factory=dict_row) as cur,
                    ):
                        yield cur
            else:
                async with conn.cursor(binary=True, row_factory=dict_row) as cur:
                    yield cur

    async def aget_delta_channel_history(
        self, *, config: RunnableConfig, channels: Sequence[str]
    ) -> Mapping[str, DeltaChannelHistory]:
        """Fast-path override of `BaseCheckpointSaver.aget_delta_channel_history`.

        See `PostgresSaver.get_delta_channel_history` for design notes; this is
        the async equivalent with internal stage-1 paging and per-channel
        UNION ALL stage-2.
        """
        if not channels:
            return {}
        channels = list(channels)
        thread_id = config["configurable"]["thread_id"]
        checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
        checkpoint_id = get_checkpoint_id(config)
        if checkpoint_id is None:
            target = await self.aget_tuple(config)
            if target is None:
                return {ch: {"writes": []} for ch in channels}
            checkpoint_id = target.config["configurable"]["checkpoint_id"]

        stage1_sql = _build_delta_stage1_sql(channels, paged=True)
        parent_of: dict[str, str | None] = {}
        ver_by_i_by_cid: list[dict[str, str | None]] = [{} for _ in channels]
        hs_by_i_by_cid: list[dict[str, bool]] = [{} for _ in channels]
        chain_by_ch: dict[str, list[str]] = {ch: [] for ch in channels}
        seed_ver_by_ch: dict[str, str | None] = {ch: None for ch in channels}
        walk_cursor_by_ch: dict[str, str | None] = {}
        seeded: set[str] = set()
        cursor: str | None = None

        async with self._cursor() as cur:
            while True:
                stage1_params: list[Any] = []
                for ch in channels:
                    stage1_params.extend([ch, ch])
                stage1_params.extend(
                    [thread_id, checkpoint_ns, cursor, cursor, _DELTA_PAGE_SIZE]
                )
                await cur.execute(stage1_sql, stage1_params)
                page = await cur.fetchall()
                if not page:
                    break
                oldest = self._ingest_stage1_page(
                    cast("list[Mapping[str, Any]]", page),
                    channels,
                    parent_of,
                    ver_by_i_by_cid,
                    hs_by_i_by_cid,
                )
                self._try_advance_walks(
                    checkpoint_id,
                    channels,
                    parent_of,
                    ver_by_i_by_cid,
                    hs_by_i_by_cid,
                    chain_by_ch,
                    seed_ver_by_ch,
                    walk_cursor_by_ch,
                    seeded,
                )
                if len(seeded) == len(channels) or len(page) < _DELTA_PAGE_SIZE:
                    break
                cursor = oldest

        channels_with_chain = [ch for ch in channels if chain_by_ch[ch]]
        channels_with_seed = [ch for ch in channels if seed_ver_by_ch[ch] is not None]
        stage2_sql = _build_delta_stage2_sql(
            channels_with_chain=channels_with_chain,
            channels_with_seed=channels_with_seed,
        )

        if stage2_sql:
            stage2_params: list[Any] = []
            for ch in channels_with_chain:
                stage2_params.extend([thread_id, checkpoint_ns, ch, chain_by_ch[ch]])
            for ch in channels_with_seed:
                stage2_params.extend([thread_id, checkpoint_ns, ch, seed_ver_by_ch[ch]])
            async with self._cursor() as cur:
                await cur.execute(stage2_sql, stage2_params)
                stage2_rows = await cur.fetchall()
        else:
            stage2_rows = []

        return self._build_delta_channels_writes_history(
            channels=channels,
            chain_by_ch=chain_by_ch,
            seed_ver_by_ch=seed_ver_by_ch,
            stage2_rows=cast("list[_DeltaStage2Row]", stage2_rows),
        )

    async def _load_checkpoint_tuple(self, value: DictRow) -> CheckpointTuple:
        """
        Convert a database row into a CheckpointTuple object.

        Args:
            value: A row from the database containing checkpoint data.

        Returns:
            CheckpointTuple: A structured representation of the checkpoint,
            including its configuration, metadata, parent checkpoint (if any),
            and pending writes.
        """
        return CheckpointTuple(
            {
                "configurable": {
                    "thread_id": value["thread_id"],
                    "checkpoint_ns": value["checkpoint_ns"],
                    "checkpoint_id": value["checkpoint_id"],
                }
            },
            {
                **value["checkpoint"],
                "channel_values": {
                    **(value["checkpoint"].get("channel_values") or {}),
                    **self._load_blobs(value["channel_values"]),
                },
            },
            value["metadata"],
            (
                {
                    "configurable": {
                        "thread_id": value["thread_id"],
                        "checkpoint_ns": value["checkpoint_ns"],
                        "checkpoint_id": value["parent_checkpoint_id"],
                    }
                }
                if value["parent_checkpoint_id"]
                else None
            ),
            await asyncio.to_thread(self._load_writes, value["pending_writes"]),
        )

    def list(
        self,
        config: RunnableConfig | None,
        *,
        filter: dict[str, Any] | None = None,
        before: RunnableConfig | None = None,
        limit: int | None = None,
    ) -> Iterator[CheckpointTuple]:
        """List checkpoints from the database.

        This method retrieves a list of checkpoint tuples from the Postgres database based
        on the provided config. The checkpoints are ordered by checkpoint ID in descending order (newest first).

        Args:
            config: Base configuration for filtering checkpoints.
            filter: Additional filtering criteria for metadata.
            before: If provided, only checkpoints before the specified checkpoint ID are returned.
            limit: Maximum number of checkpoints to return.

        Yields:
            An iterator of matching checkpoint tuples.
        """
        try:
            # check if we are in the main thread, only bg threads can block
            # we don't check in other methods to avoid the overhead
            if asyncio.get_running_loop() is self.loop:
                raise asyncio.InvalidStateError(
                    "Synchronous calls to AsyncPostgresSaver are only allowed from a "
                    "different thread. From the main thread, use the async interface. "
                    "For example, use `checkpointer.alist(...)` or `await "
                    "graph.ainvoke(...)`."
                )
        except RuntimeError:
            pass
        aiter_ = self.alist(config, filter=filter, before=before, limit=limit)
        while True:
            try:
                yield asyncio.run_coroutine_threadsafe(
                    anext(aiter_),  # type: ignore[arg-type]  # noqa: F821
                    self.loop,
                ).result()
            except StopAsyncIteration:
                break

    def get_tuple(self, config: RunnableConfig) -> CheckpointTuple | None:
        """Get a checkpoint tuple from the database.

        This method retrieves a checkpoint tuple from the Postgres database based on the
        provided config. If the config contains a `checkpoint_id` key, the checkpoint with
        the matching thread ID and "checkpoint_id" is retrieved. Otherwise, the latest checkpoint
        for the given thread ID is retrieved.

        Args:
            config: The config to use for retrieving the checkpoint.

        Returns:
            The retrieved checkpoint tuple, or None if no matching checkpoint was found.
        """
        try:
            # check if we are in the main thread, only bg threads can block
            # we don't check in other methods to avoid the overhead
            if asyncio.get_running_loop() is self.loop:
                raise asyncio.InvalidStateError(
                    "Synchronous calls to AsyncPostgresSaver are only allowed from a "
                    "different thread. From the main thread, use the async interface. "
                    "For example, use `await checkpointer.aget_tuple(...)` or `await "
                    "graph.ainvoke(...)`."
                )
        except RuntimeError:
            pass
        return asyncio.run_coroutine_threadsafe(
            self.aget_tuple(config), self.loop
        ).result()

    def put(
        self,
        config: RunnableConfig,
        checkpoint: Checkpoint,
        metadata: CheckpointMetadata,
        new_versions: ChannelVersions,
    ) -> RunnableConfig:
        """Save a checkpoint to the database.

        This method saves a checkpoint to the Postgres database. The checkpoint is associated
        with the provided config and its parent config (if any).

        Args:
            config: The config to associate with the checkpoint.
            checkpoint: The checkpoint to save.
            metadata: Additional metadata to save with the checkpoint.
            new_versions: New channel versions as of this write.

        Returns:
            RunnableConfig: Updated configuration after storing the checkpoint.
        """
        return asyncio.run_coroutine_threadsafe(
            self.aput(config, checkpoint, metadata, new_versions), self.loop
        ).result()

    def put_writes(
        self,
        config: RunnableConfig,
        writes: Sequence[tuple[str, Any]],
        task_id: str,
        task_path: str = "",
    ) -> None:
        """Store intermediate writes linked to a checkpoint.

        This method saves intermediate writes associated with a checkpoint to the database.

        Args:
            config: Configuration of the related checkpoint.
            writes: List of writes to store, each as (channel, value) pair.
            task_id: Identifier for the task creating the writes.
            task_path: Path of the task creating the writes.
        """
        return asyncio.run_coroutine_threadsafe(
            self.aput_writes(config, writes, task_id, task_path), self.loop
        ).result()

    def delete_thread(self, thread_id: str) -> None:
        """Delete all checkpoints and writes associated with a thread ID.

        Args:
            thread_id: The thread ID to delete.

        Returns:
            None
        """
        try:
            # check if we are in the main thread, only bg threads can block
            # we don't check in other methods to avoid the overhead
            if asyncio.get_running_loop() is self.loop:
                raise asyncio.InvalidStateError(
                    "Synchronous calls to AsyncPostgresSaver are only allowed from a "
                    "different thread. From the main thread, use the async interface. "
                    "For example, use `await checkpointer.aget_tuple(...)` or `await "
                    "graph.ainvoke(...)`."
                )
        except RuntimeError:
            pass
        return asyncio.run_coroutine_threadsafe(
            self.adelete_thread(thread_id), self.loop
        ).result()


__all__ = ["AsyncPostgresSaver", "AsyncShallowPostgresSaver", "Conn"]